diff --git a/benchmarks/src/main/java/org/elasticsearch/benchmark/script/ScriptScoreBenchmark.java b/benchmarks/src/main/java/org/elasticsearch/benchmark/script/ScriptScoreBenchmark.java index 3790be5f279d1..90e62af14b7cc 100644 --- a/benchmarks/src/main/java/org/elasticsearch/benchmark/script/ScriptScoreBenchmark.java +++ b/benchmarks/src/main/java/org/elasticsearch/benchmark/script/ScriptScoreBenchmark.java @@ -30,8 +30,10 @@ import org.elasticsearch.index.fielddata.IndexFieldDataCache; import org.elasticsearch.index.fielddata.IndexNumericFieldData; import org.elasticsearch.index.mapper.MappedFieldType; +import org.elasticsearch.index.mapper.MappingLookup; import org.elasticsearch.index.mapper.NumberFieldMapper.NumberFieldType; import org.elasticsearch.index.mapper.NumberFieldMapper.NumberType; +import org.elasticsearch.index.mapper.SourceFieldMetrics; import org.elasticsearch.indices.breaker.CircuitBreakerService; import org.elasticsearch.indices.breaker.NoneCircuitBreakerService; import org.elasticsearch.plugins.PluginsService; @@ -89,7 +91,7 @@ public class ScriptScoreBenchmark { private final SearchLookup lookup = new SearchLookup( fieldTypes::get, (mft, lookup, fdo) -> mft.fielddataBuilder(FieldDataContext.noRuntimeFields("benchmark")).build(fieldDataCache, breakerService), - SourceProvider.fromStoredFields() + SourceProvider.fromLookup(null, MappingLookup.EMPTY, SourceFieldMetrics.NOOP) ); @Param({ "expression", "metal", "painless_cast", "painless_def" }) diff --git a/benchmarks/src/main/java/org/elasticsearch/benchmark/search/SourceProviderBenchmark.java b/benchmarks/src/main/java/org/elasticsearch/benchmark/search/SourceProviderBenchmark.java new file mode 100644 index 0000000000000..855facdf206d2 --- /dev/null +++ b/benchmarks/src/main/java/org/elasticsearch/benchmark/search/SourceProviderBenchmark.java @@ -0,0 +1,202 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the "Elastic License + * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side + * Public License v 1"; you may not use this file except in compliance with, at + * your election, the "Elastic License 2.0", the "GNU Affero General Public + * License v3.0 only", or the "Server Side Public License, v 1". + */ + +package org.elasticsearch.benchmark.search; + +import org.apache.lucene.index.DirectoryReader; +import org.apache.lucene.index.IndexWriter; +import org.apache.lucene.index.IndexWriterConfig; +import org.apache.lucene.store.Directory; +import org.apache.lucene.store.MMapDirectory; +import org.apache.lucene.util.Accountable; +import org.elasticsearch.TransportVersion; +import org.elasticsearch.cluster.ClusterModule; +import org.elasticsearch.cluster.metadata.IndexMetadata; +import org.elasticsearch.common.bytes.BytesReference; +import org.elasticsearch.common.compress.CompressedXContent; +import org.elasticsearch.common.io.Streams; +import org.elasticsearch.common.logging.LogConfigurator; +import org.elasticsearch.common.lucene.Lucene; +import org.elasticsearch.common.lucene.index.ElasticsearchDirectoryReader; +import org.elasticsearch.common.settings.Settings; +import org.elasticsearch.common.util.BigArrays; +import org.elasticsearch.common.xcontent.LoggingDeprecationHandler; +import org.elasticsearch.core.IOUtils; +import org.elasticsearch.index.Index; +import org.elasticsearch.index.IndexSettings; +import org.elasticsearch.index.IndexVersion; +import org.elasticsearch.index.cache.bitset.BitsetFilterCache; +import org.elasticsearch.index.codec.CodecService; +import org.elasticsearch.index.mapper.MapperMetrics; +import org.elasticsearch.index.mapper.MapperRegistry; +import org.elasticsearch.index.mapper.MapperService; +import org.elasticsearch.index.mapper.ParsedDocument; +import org.elasticsearch.index.mapper.ProvidedIdFieldMapper; +import org.elasticsearch.index.mapper.SourceToParse; +import org.elasticsearch.index.shard.IndexShard; +import org.elasticsearch.index.shard.ShardId; +import org.elasticsearch.index.similarity.SimilarityService; +import org.elasticsearch.indices.IndicesModule; +import org.elasticsearch.script.Script; +import org.elasticsearch.script.ScriptCompiler; +import org.elasticsearch.script.ScriptContext; +import org.elasticsearch.search.lookup.SourceFilter; +import org.elasticsearch.search.lookup.SourceProvider; +import org.elasticsearch.xcontent.NamedXContentRegistry; +import org.elasticsearch.xcontent.XContentParserConfiguration; +import org.elasticsearch.xcontent.XContentType; +import org.openjdk.jmh.annotations.Benchmark; +import org.openjdk.jmh.annotations.BenchmarkMode; +import org.openjdk.jmh.annotations.Fork; +import org.openjdk.jmh.annotations.Measurement; +import org.openjdk.jmh.annotations.Mode; +import org.openjdk.jmh.annotations.OutputTimeUnit; +import org.openjdk.jmh.annotations.Param; +import org.openjdk.jmh.annotations.Scope; +import org.openjdk.jmh.annotations.Setup; +import org.openjdk.jmh.annotations.State; +import org.openjdk.jmh.annotations.TearDown; +import org.openjdk.jmh.annotations.Warmup; + +import java.io.IOException; +import java.io.UncheckedIOException; +import java.nio.file.Files; +import java.util.Collections; +import java.util.Map; +import java.util.concurrent.TimeUnit; + +@Fork(1) +@Warmup(iterations = 5) +@Measurement(iterations = 5) +@State(Scope.Benchmark) +@OutputTimeUnit(TimeUnit.MICROSECONDS) +@BenchmarkMode(Mode.AverageTime) +public class SourceProviderBenchmark { + static { + LogConfigurator.setNodeName("test"); + LogConfigurator.loadLog4jPlugins(); + LogConfigurator.configureESLogging(); + } + + private Directory directory; + private DirectoryReader indexReader; + private MapperService mapperService; + private CodecService codecService; + private int rootDoc; + + @Param({ "patch", "synthetic", "stored", "exclude" }) + private String mode; + + @Param({ "small", "medium", "large" }) + private String docSize; + + @Setup + public void setup() throws IOException { + this.mapperService = createMapperService(readMapping(mode).utf8ToString()); + this.codecService = new CodecService(mapperService, BigArrays.NON_RECYCLING_INSTANCE); + + IndexWriterConfig iwc = new IndexWriterConfig(IndexShard.buildIndexAnalyzer(mapperService)); + iwc.setCodec(codecService.codec(CodecService.DEFAULT_CODEC)); + this.directory = new MMapDirectory(Files.createTempDirectory("sourceLoaderBench")); + try (IndexWriter iw = new IndexWriter(directory, iwc)) { + var bytes = readWikipediaDocument(docSize); + var source = new SourceToParse("0", bytes, XContentType.JSON); + ParsedDocument doc = mapperService.documentMapper().parse(source); + assert doc.dynamicMappingsUpdate() == null; + iw.addDocuments(doc.docs()); + rootDoc = doc.docs().size() - 1; + iw.commit(); + } + + this.indexReader = ElasticsearchDirectoryReader.wrap(DirectoryReader.open(directory), new ShardId(new Index("index", "_na_"), 0)); + } + + @TearDown + public void tearDown() { + IOUtils.closeWhileHandlingException(indexReader, directory); + } + + @Benchmark + public void loadDoc() throws IOException { + var provider = SourceProvider.fromLookup( + null, + mapperService.mappingLookup(), + mapperService.getMapperMetrics().sourceFieldMetrics() + ); + var source = provider.getSource(indexReader.leaves().get(0), rootDoc); + assert source.internalSourceRef() != null; + } + + @Benchmark + public void loadFilterDoc() throws IOException { + var provider = SourceProvider.fromLookup( + mode.equals("exclude") ? null : new SourceFilter(null, new String[] { "chunks.emb" }), + mapperService.mappingLookup(), + mapperService.getMapperMetrics().sourceFieldMetrics() + ); + var source = provider.getSource(indexReader.leaves().get(0), rootDoc); + assert source.internalSourceRef() != null; + } + + protected final MapperService createMapperService(String mappings) { + Settings settings = Settings.builder() + .put("index.number_of_replicas", 0) + .put("index.number_of_shards", 1) + .put(IndexMetadata.SETTING_VERSION_CREATED, IndexVersion.current()) + .build(); + IndexMetadata meta = IndexMetadata.builder("index").settings(settings).build(); + IndexSettings indexSettings = new IndexSettings(meta, settings); + MapperRegistry mapperRegistry = new IndicesModule(Collections.emptyList()).getMapperRegistry(); + + SimilarityService similarityService = new SimilarityService(indexSettings, null, Map.of()); + BitsetFilterCache bitsetFilterCache = new BitsetFilterCache(indexSettings, new BitsetFilterCache.Listener() { + @Override + public void onCache(ShardId shardId, Accountable accountable) {} + + @Override + public void onRemoval(ShardId shardId, Accountable accountable) {} + }); + MapperService mapperService = new MapperService( + () -> TransportVersion.current(), + indexSettings, + (type, name) -> Lucene.STANDARD_ANALYZER, + XContentParserConfiguration.EMPTY.withRegistry(new NamedXContentRegistry(ClusterModule.getNamedXWriteables())) + .withDeprecationHandler(LoggingDeprecationHandler.INSTANCE), + similarityService, + mapperRegistry, + () -> { + throw new UnsupportedOperationException(); + }, + new ProvidedIdFieldMapper(() -> true), + new ScriptCompiler() { + @Override + public T compile(Script script, ScriptContext scriptContext) { + throw new UnsupportedOperationException(); + } + }, + bitsetFilterCache::getBitSetProducer, + MapperMetrics.NOOP + ); + + try { + mapperService.merge("_doc", new CompressedXContent(mappings), MapperService.MergeReason.MAPPING_UPDATE); + return mapperService; + } catch (IOException e) { + throw new UncheckedIOException(e); + } + } + + private BytesReference readMapping(String mode) throws IOException { + return Streams.readFully(SourceProviderBenchmark.class.getResourceAsStream("wikipedia_mapping_" + mode + ".json")); + } + + private BytesReference readWikipediaDocument(String docSize) throws IOException { + return Streams.readFully(SourceProviderBenchmark.class.getResourceAsStream("wikipedia_" + docSize + ".json")); + } +} diff --git a/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_large.json b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_large.json new file mode 100644 index 0000000000000..229b81b6c7f9c --- /dev/null +++ b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_large.json @@ -0,0 +1 @@ +{"wiki_id": 5043734, "title": "Wikipedia", "url": "https://en.wikipedia.org/wiki?curid=5043734", "text": "Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers through open collaboration and a wiki-based editing system. Its editors are known as Wikipedians. Wikipedia is the largest and most-read reference work in history. It is consistently one of the 10 most popular websites ranked by Similarweb and formerly Alexa; Wikipedia was ranked the 5th most popular site in the world. It is hosted by the Wikimedia Foundation, an American non-profit organization funded mainly through donations.Wikipedia was launched by Jimmy Wales and Larry Sanger on January 15, 2001. Sanger coined its name as a blend of \"wiki\" and \"encyclopedia\". Wales was influenced by the \"spontaneous order\" ideas associated with Friedrich Hayek and the Austrian School of economics after being exposed to these ideas by the libertarian economist Mark Thornton. Initially available only in English, versions in other languages were quickly developed. Its combined editions comprise more than articles, attracting around 2billion unique device visits per month and more than 17 million edits per month (1.9edits per second) . In 2006, \"Time\" magazine stated that the policy of allowing anyone to edit had made Wikipedia the \"biggest (and perhaps best) encyclopedia in the world\".Wikipedia has been praised for its enablement of the democratization of knowledge, extent of coverage, unique structure, culture, and reduced degree of commercial bias; but criticism for exhibiting systemic bias, particularly gender bias against women and alleged ideological bias. The reliability of Wikipedia was frequently criticized in the 2000s, but has improved over time, as Wikipedia has been generally praised in the late 2010s and early 2020s. The website's coverage of controversial topics such as American politics and major events like the COVID-19 pandemic and the Russian invasion of Ukraine has received substantial media attention. It has been censored by world governments, ranging from specific pages to the entire site. In April 2018, Facebook and YouTube announced that they would help users detect fake news by suggesting fact-checking links to related Wikipedia articles. Articles on breaking news are often accessed as a source of frequently updated information about those events.Various collaborative online encyclopedias were attempted before the start of Wikipedia, but with limited success. Wikipedia began as a complementary project for Nupedia, a free online English-language encyclopedia project whose articles were written by experts and reviewed under a formal process. It was founded on March 9, 2000, under the ownership of Bomis, a web portal company. Its main figures were Bomis CEO Jimmy Wales and Larry Sanger, editor-in-chief for Nupedia and later Wikipedia. Nupedia was initially licensed under its own Nupedia Open Content License, but before Wikipedia was founded, Nupedia switched to the GNU Free Documentation License at the urging of Richard Stallman. Wales is credited with defining the goal of making a publicly editable encyclopedia, while Sanger is credited with the strategy of using a wiki to reach that goal. On January 10, 2001, Sanger proposed on the Nupedia mailing list to create a wiki as a \"feeder\" project for Nupedia.The domains \"wikipedia.com\" (later redirecting to \"wikipedia.org\") and \"wikipedia.org\" were registered on January 12, 2001, and January 13, 2001, respectively, and Wikipedia was launched on January 15, 2001, as a single English-language edition at www.wikipedia.com, and announced by Sanger on the Nupedia mailing list. Its integral policy of \"neutral point-of-view\" was codified in its first few months. Otherwise, there were initially relatively few rules, and it operated independently of Nupedia. Bomis originally intended it as a business for profit.Wikipedia gained early contributors from Nupedia, Slashdot postings, and web search engine indexing. Language editions were created beginning in March 2001, with a total of 161 in use by the end of 2004. Nupedia and Wikipedia coexisted until the former's servers were taken down permanently in 2003, and its text was incorporated into Wikipedia. The English Wikipedia passed the mark of two million articles on September 9, 2007, making it the largest encyclopedia ever assembled, surpassing the \"Yongle Encyclopedia\" made during the Ming Dynasty in 1408, which had held the record for almost 600\u00a0years.Citing fears of commercial advertising and lack of control, users of the Spanish Wikipedia forked from Wikipedia to create Enciclopedia Libre in February 2002. Wales then announced that Wikipedia would not display advertisements, and changed Wikipedia's domain from \"wikipedia.com\" to \"wikipedia.org\".Though the English Wikipedia reached three million articles in August 2009, the growth of the edition, in terms of the numbers of new articles and of editors, appears to have peaked around early 2007. Around 1,800 articles were added daily to the encyclopedia in 2006; by 2013 that average was roughly 800. A team at the Palo Alto Research Center attributed this slowing of growth to the project's increasing exclusivity and resistance to change. Others suggest that the growth is flattening naturally because articles that could be called \"low-hanging fruit\"\u2014topics that clearly merit an article\u2014have already been created and built up extensively.In November 2009, a researcher at the Rey Juan Carlos University in Madrid found that the English Wikipedia had lost 49,000 editors during the first three months of 2009; in comparison, it lost only 4,900 editors during the same period in 2008. \"The Wall Street Journal\" cited the array of rules applied to editing and disputes related to such content among the reasons for this trend. Wales disputed these claims in 2009, denying the decline and questioning the study's methodology. Two years later, in 2011, he acknowledged a slight decline, noting a decrease from \"a little more than 36,000 writers\" in June 2010 to 35,800 in June 2011. In the same interview, he also claimed the number of editors was \"stable and sustainable\". A 2013 \"MIT Technology Review\" article, \"The Decline of Wikipedia\", questioned this claim, revealing that since 2007, Wikipedia had lost a third of its volunteer editors, and that those remaining had focused increasingly on minutiae. In July 2012, \"The Atlantic\" reported that the number of administrators was also in decline. In the November 25, 2013, issue of \"New York\" magazine, Katherine Ward stated, \"Wikipedia, the sixth-most-used website, is facing an internal crisis.\"The number of active English Wikipedia editors has since remained steady after a long period of decline.In January 2007, Wikipedia first became one of the ten most popular websites in the United States, according to Comscore Networks. With 42.9\u00a0million unique visitors, it was ranked #9, surpassing \"The New York Times\" (#10) and Apple (#11). This marked a significant increase over January 2006, when Wikipedia ranked 33rd, with around 18.3\u00a0million unique visitors. , it ranked 13th in popularity according to Alexa Internet. In 2014, it received eight billion page views every month. On February 9, 2014, \"The New York Times\" reported that Wikipedia had 18\u00a0billion page views and nearly 500\u00a0million unique visitors a month, \"according to the ratings firm comScore\". Loveland and Reagle argue that, in process, Wikipedia follows a long tradition of historical encyclopedias that have accumulated improvements piecemeal through \"stigmergic accumulation\".On January 18, 2012, the English Wikipedia participated in a series of coordinated protests against two proposed laws in the United States Congress\u2014the Stop Online Piracy Act (SOPA) and the PROTECT IP Act (PIPA)\u2014by blacking out its pages for 24 hours. More than 162\u00a0million people viewed the blackout explanation page that temporarily replaced its content.On January 20, 2014, Subodh Varma reporting for \"The Economic Times\" indicated that not only had Wikipedia's growth stalled, it \"had lost nearly ten percent of its page views last year. There was a decline of about two billion between December 2012 and December 2013. Its most popular versions are leading the slide: page-views of the English Wikipedia declined by twelve percent, those of German version slid by 17 percent and the Japanese version lost nine percent.\" Varma added, \"While Wikipedia's managers think that this could be due to errors in counting, other experts feel that Google's Knowledge Graphs project launched last year may be gobbling up Wikipedia users.\" When contacted on this matter, Clay Shirky, associate professor at New York University and fellow at Harvard's Berkman Klein Center for Internet & Society said that he suspected much of the page-view decline was due to Knowledge Graphs, stating, \"If you can get your question answered from the search page, you don't need to click [any further].\" By the end of December 2016, Wikipedia was ranked the fifth most popular website globally.In January 2013, 274301 Wikipedia, an asteroid, was named after Wikipedia; in October 2014, Wikipedia was honored with the \"Wikipedia Monument\"; and, in July 2015, 106 of the 7,473 700-page volumes of Wikipedia became available as Print Wikipedia. In April 2019, an Israeli lunar lander, Beresheet, crash landed on the surface of the Moon carrying a copy of nearly all of the English Wikipedia engraved on thin nickel plates; experts say the plates likely survived the crash. In June 2019, scientists reported that all 16\u00a0GB of article text from the English Wikipedia had been encoded into synthetic DNA.As of November 2022, 55,800 Wikipedia English articles have been cited 92,300 times in scholarly journals, from which cloud computing was the most cited page.Unlike traditional encyclopedias, Wikipedia follows the procrastination principle regarding the security of its content.Due to Wikipedia's increasing popularity, some editions, including the English version, have introduced editing restrictions for certain cases. For instance, on the English Wikipedia and some other language editions, only registered users may create a new article. On the English Wikipedia, among others, particularly controversial, sensitive or vandalism-prone pages have been protected to varying degrees. A frequently vandalized article can be \"semi-protected\" or \"extended confirmed protected\", meaning that only \"autoconfirmed\" or \"extended confirmed\" editors can modify it. A particularly contentious article may be locked so that only administrators can make changes. A 2021 article in the \"Columbia Journalism Review\" identified Wikipedia's page-protection policies as \"perhaps the most important\" means at its disposal to \"regulate its market of ideas\".In certain cases, all editors are allowed to submit modifications, but review is required for some editors, depending on certain conditions. For example, the German Wikipedia maintains \"stable versions\" of articles which have passed certain reviews. Following protracted trials and community discussion, the English Wikipedia introduced the \"pending changes\" system in December 2012. Under this system, new and unregistered users' edits to certain controversial or vandalism-prone articles are reviewed by established users before they are published.Although changes are not systematically reviewed, the software that powers Wikipedia provides tools allowing anyone to review changes made by others. Each article's History page links to each revision. On most articles, anyone can undo others' changes by clicking a link on the article's History page. Anyone can view the to articles, and anyone registered may maintain a \"watchlist\" of articles that interest them so they can be notified of changes. \"New pages patrol\" is a process where newly created articles are checked for obvious problems.In 2003, economics Ph.D. student Andrea Ciffolilli argued that the low transaction costs of participating in a wiki created a catalyst for collaborative development, and that features such as allowing easy access to past versions of a page favored \"creative construction\" over \"creative destruction\".Any change or edit that manipulates content in a way that deliberately compromises Wikipedia's integrity is considered vandalism. The most common and obvious types of vandalism include additions of obscenities and crude humor; it can also include advertising and other types of spam. Sometimes editors commit vandalism by removing content or entirely blanking a given page. Less common types of vandalism, such as the deliberate addition of plausible but false information, can be more difficult to detect. Vandals can introduce irrelevant formatting, modify page semantics such as the page's title or categorization, manipulate the article's underlying code, or use images disruptively.Obvious vandalism is generally easy to remove from Wikipedia articles; the median time to detect and fix it is a few minutes. However, some vandalism takes much longer to detect and repair.In the Seigenthaler biography incident, an anonymous editor introduced false information into the biography of American political figure John Seigenthaler in May 2005, falsely presenting him as a suspect in the assassination of John F. Kennedy. It remained uncorrected for four months. Seigenthaler, the founding editorial director of \"USA Today\" and founder of the Freedom Forum First Amendment Center at Vanderbilt University, called Wikipedia co-founder Jimmy Wales and asked whether he had any way of knowing who contributed the misinformation. Wales said he did not, although the perpetrator was eventually traced. After the incident, Seigenthaler described Wikipedia as \"a flawed and irresponsible research tool\". The incident led to policy changes at Wikipedia for tightening up the verifiability of biographical articles of living people.In 2010, Daniel Tosh encouraged viewers of his show, \"Tosh.0\", to visit the show's Wikipedia article and edit it at will. On a later episode, he commented on the edits to the article, most of them offensive, which had been made by the audience and had prompted the article to be locked from editing.Wikipedians often have disputes regarding content, which may result in repeated competing changes to an article, known as \"edit warring\". It is widely seen as a resource-consuming scenario where no useful knowledge is added, and criticized as creating a competitive and conflict-based editing culture associated with traditional masculine gender roles.Content in Wikipedia is subject to the laws (in particular, copyright laws) of the United States and of the US state of Virginia, where the majority of Wikipedia's servers are located. Beyond legal matters, the editorial principles of Wikipedia are embodied in the \"Five pillars\" and in numerous policies and guidelines intended to appropriately shape content. Even these rules are stored in wiki form, and Wikipedia editors write and revise the website's policies and guidelines. Editors can by deleting or modifying non-compliant material. Originally, rules on the non-English editions of Wikipedia were based on a translation of the rules for the English Wikipedia. They have since diverged to some extent.According to the rules on the English Wikipedia, each entry in Wikipedia must be about a topic that is encyclopedic and is not a dictionary entry or dictionary-style. A topic should also meet Wikipedia's standards of \"notability\", which generally means that the topic must have been covered in mainstream media or major academic journal sources that are independent of the article's subject. Further, Wikipedia intends to convey only knowledge that is already established and recognized. It must not present original research. A claim that is likely to be challenged requires a reference to a reliable source, as do all quotations. Among Wikipedia editors, this is often phrased as \"verifiability, not truth\" to express the idea that the readers, not the encyclopedia, are ultimately responsible for checking the truthfulness of the articles and making their own interpretations. This can at times lead to the removal of information that, though valid, is not properly sourced. Finally, Wikipedia must not take sides.Wikipedia's initial anarchy integrated democratic and hierarchical elements over time. An article is not considered to be owned by its creator or any other editor, nor by the subject of the article.Editors in good standing in the community can request extra , granting them the technical ability to perform certain special actions. In particular, editors can choose to run for \"adminship\", which includes the ability to delete pages or prevent them from being changed in cases of severe vandalism or editorial disputes. Administrators are not supposed to enjoy any special privilege in decision-making; instead, their powers are mostly limited to making edits that have project-wide effects and thus are disallowed to ordinary editors, and to implement restrictions intended to prevent disruptive editors from making unproductive edits.By 2012, fewer editors were becoming administrators compared to Wikipedia's earlier years, in part because the process of vetting potential administrators had become more rigorous. In 2022, there was a particularly contentious request for adminship over the candidate's anti-Trump views; ultimately, they were granted adminship.Over time, Wikipedia has developed a semiformal dispute resolution process. To determine community consensus, editors can raise issues at appropriate community forums, seek outside input through third opinion requests, or initiate a more general community discussion known as a \"request for comment\".Wikipedia encourages local resolutions of conflicts, which Jemielniak argues is quite unique in organization studies, though there has been some recent interest in consensus building in the field. Joseph Reagle and Sue Gardner argue that the approaches to consensus building are similar to those used by Quakers. A difference from Quaker meetings is the absence of a facilitator in the presence of disagreement, a role played by the clerk in Quaker meetings.The Arbitration Committee presides over the ultimate dispute resolution process. Although disputes usually arise from a disagreement between two opposing views on how an article should read, the Arbitration Committee explicitly refuses to directly rule on the specific view that should be adopted. Statistical analyses suggest that the committee ignores the content of disputes and rather focuses on the way disputes are conducted, functioning not so much to resolve disputes and make peace between conflicting editors, but to weed out problematic editors while allowing potentially productive editors back in to participate. Therefore, the committee does not dictate the content of articles, although it sometimes condemns content changes when it deems the new content violates Wikipedia policies (for example, if the new content is considered biased). Its remedies include cautions and probations (used in 63% of cases) and banning editors from articles (43%), subject matters (23%), or Wikipedia (16%). Complete bans from Wikipedia are generally limited to instances of impersonation and anti-social behavior. When conduct is not impersonation or anti-social, but rather anti-consensus or in violation of editing policies, remedies tend to be limited to warnings.Each article and each user of Wikipedia has an associated and dedicated \"talk\" page. These form the primary communication channel for editors to discuss, coordinate and debate.Wikipedia's community has been described as cultlike, although not always with entirely negative connotations. Its preference for cohesiveness, even if it requires compromise that includes disregard of credentials, has been referred to as \"anti-elitism\".Wikipedians sometimes award one another \"virtual barnstars\" for good work. These personalized tokens of appreciation reveal a wide range of valued work extending far beyond simple editing to include social support, administrative actions, and types of articulation work.Wikipedia does not require that its editors and contributors provide identification. As Wikipedia grew, \"Who writes Wikipedia?\" became one of the questions frequently asked there. Jimmy Wales once argued that only \"a community\u00a0... a dedicated group of a few hundred volunteers\" makes the bulk of contributions to Wikipedia and that the project is therefore \"much like any traditional organization\". In 2008, a \"Slate\" magazine article reported that: \"According to researchers in Palo Alto, one percent of Wikipedia users are responsible for about half of the site's edits.\" This method of evaluating contributions was later disputed by Aaron Swartz, who noted that several articles he sampled had large portions of their content (measured by number of characters) contributed by users with low edit counts.The English Wikipedia has articles, registered editors, and active editors. An editor is considered active if they have made one or more edits in the past 30 days.Editors who fail to comply with Wikipedia cultural rituals, such as signing talk page comments, may implicitly signal that they are Wikipedia outsiders, increasing the odds that Wikipedia insiders may target or discount their contributions. Becoming a Wikipedia insider involves non-trivial costs: the contributor is expected to learn Wikipedia-specific technological codes, submit to a sometimes convoluted dispute resolution process, and learn a \"baffling culture rich with in-jokes and insider references\". Editors who do not log in are in some sense second-class citizens on Wikipedia, as \"participants are accredited by members of the wiki community, who have a vested interest in preserving the quality of the work product, on the basis of their ongoing participation\", but the contribution histories of anonymous unregistered editors recognized only by their IP addresses cannot be attributed to a particular editor with certainty.A 2007 study by researchers from Dartmouth College found that \"anonymous and infrequent contributors to Wikipedia\u00a0... are as reliable a source of knowledge as those contributors who register with the site\". Jimmy Wales stated in 2009 that \"[I]t turns out over 50% of all the edits are done by just 0.7% of the users... 524 people... And in fact, the most active 2%, which is 1400 people, have done 73.4% of all the edits.\" However, \"Business Insider\" editor and journalist Henry Blodget showed in 2009 that in a random sample of articles, most Wikipedia content (measured by the amount of contributed text that survives to the latest sampled edit) is created by \"outsiders\", while most editing and formatting is done by \"insiders\".A 2008 study found that Wikipedians were less agreeable, open, and conscientious than others, although a later commentary pointed out serious flaws, including that the data showed higher openness and that the differences with the control group and the samples were small. According to a 2009 study, there is \"evidence of growing resistance from the Wikipedia community to new content\".Several studies have shown that most Wikipedia contributors are male. Notably, the results of a Wikimedia Foundation survey in 2008 showed that only 13 percent of Wikipedia editors were female. Because of this, universities throughout the United States tried to encourage women to become Wikipedia contributors. Similarly, many of these universities, including Yale and Brown, gave college credit to students who create or edit an article relating to women in science or technology. Andrew Lih, a professor and scientist, wrote in \"The New York Times\" that the reason he thought the number of male contributors outnumbered the number of females so greatly was because identifying as a woman may expose oneself to \"ugly, intimidating behavior\". Data has shown that Africans are underrepresented among Wikipedia editors.There are currently language editions of Wikipedia (also called \"language versions\", or simply \"Wikipedias\"). As of 2022, the six largest, in order of article count, are the , , , , , and Wikipedias. The and -largest Wikipedias owe their position to the article-creating bot Lsjbot, which had created about half the articles on the Swedish Wikipedia, and most of the articles in the Cebuano and Waray Wikipedias. The latter are both languages of the Philippines.In addition to the top six, twelve other Wikipedias have more than a million articles each (, , , , , , , , , , and ), seven more have over 500,000 articles (, , , , , and ), 44 more have over 100,000, and 82 more have over 10,000. The largest, the English Wikipedia, has over 0.1*floor(/100000) million articles. the English Wikipedia receives 48% of Wikipedia's cumulative traffic, with the remaining split among the other languages. The top 10 editions represent approximately 85% of the total traffic.Since Wikipedia is based on the Web and therefore worldwide, contributors to the same language edition may use different dialects or may come from different countries (as is the case for the English edition). These differences may lead to some conflicts over spelling differences (e.g. \"colour\" versus \"color\") or points of view.Though the various language editions are held to global policies such as \"neutral point of view\", they diverge on some points of policy and practice, most notably on whether images that are not licensed freely may be used under a claim of fair use.Jimmy Wales has described Wikipedia as \"an effort to create and distribute a free encyclopedia of the highest possible quality to every single person on the planet in their own language\". Though each language edition functions more or less independently, some efforts are made to supervise them all. They are coordinated in part by Meta-Wiki, the Wikimedia Foundation's wiki devoted to maintaining all its projects (Wikipedia and others). For instance, Meta-Wiki provides important statistics on all language editions of Wikipedia, and it maintains a list of articles every Wikipedia should have. The list concerns basic content by subject: biography, history, geography, society, culture, science, technology, and mathematics. It is not rare for articles strongly related to a particular language not to have counterparts in another edition. For example, articles about small towns in the United States might be available only in English, even when they meet the notability criteria of other language Wikipedia projects.Translated articles represent only a small portion of articles in most editions, in part because those editions do not allow fully automated translation of articles. Articles available in more than one language may offer \"interwiki links\", which link to the counterpart articles in other editions.A study published by \"PLOS One\" in 2012 also estimated the share of contributions to different editions of Wikipedia from different regions of the world. It reported that the proportion of the edits made from North America was 51% for the English Wikipedia, and 25% for the simple English Wikipedia.On March 1, 2014, \"The Economist\", in an article titled \"The Future of Wikipedia\", cited a trend analysis concerning data published by the Wikimedia Foundation stating that \"[t]he number of editors for the English-language version has fallen by a third in seven years.\" The attrition rate for active editors in English Wikipedia was cited by \"The Economist\" as substantially in contrast to statistics for Wikipedia in other languages (non-English Wikipedia). \"The Economist\" reported that the number of contributors with an average of five or more edits per month was relatively constant since 2008 for Wikipedia in other languages at approximately 42,000 editors within narrow seasonal variances of about 2,000 editors up or down. The number of active editors in English Wikipedia, by sharp comparison, was cited as peaking in 2007 at approximately 50,000 and dropping to 30,000 by the start of 2014.In contrast, the trend analysis for Wikipedia in other languages (non-English Wikipedia) shows success in retaining active editors on a renewable and sustained basis, with their numbers remaining relatively constant at approximately 42,000. No comment was made concerning which of the differentiated edit policy standards from Wikipedia in other languages (non-English Wikipedia) would provide a possible alternative to English Wikipedia for effectively ameliorating substantial editor attrition rates on the English-language Wikipedia.Various Wikipedians have criticized Wikipedia's large and growing regulation, which includes more than fifty policies and nearly 150,000 wordsCritics have stated that Wikipedia exhibits systemic bias. In 2010, columnist and journalist Edwin Black described Wikipedia as being a mixture of \"truth, half-truth, and some falsehoods\". Articles in \"The Chronicle of Higher Education\" and \"The Journal of Academic Librarianship\" have criticized Wikipedia's \"Undue Weight\" policy, concluding that the fact that Wikipedia explicitly is not designed to provide correct information about a subject, but rather focus on all the major viewpoints on the subject, give less attention to minor ones, and creates omissions that can lead to false beliefs based on incomplete information.Journalists Oliver Kamm and Edwin Black alleged (in 2010 and 2011 respectively) that articles are dominated by the loudest and most persistent voices, usually by a group with an \"ax to grind\" on the topic. A 2008 article in \"Education Next\" Journal concluded that as a resource about controversial topics, Wikipedia is subject to manipulation and spin.In 2020, Omer Benjakob and Stephen Harrison noted that \"Media coverage of Wikipedia has radically shifted over the past two decades: once cast as an intellectual frivolity, it is now lauded as the 'last bastion of shared reality' online.\"In 2022, libertarian John Stossel opined that Wikipedia, a site he financially supported at one time, appears to have gradually taken a significant turn in bias to the political left, specifically on political topics.In 2006, the \"Wikipedia Watch\" criticism website listed dozens of examples of plagiarism in the English Wikipedia.Articles for traditional encyclopedias such as \"Encyclop\u00e6dia Britannica\" are written by experts, lending such encyclopedias a reputation for accuracy. However, a peer review in 2005 of forty-two scientific entries on both Wikipedia and \"Encyclop\u00e6dia Britannica\" by the science journal \"Nature\" found few differences in accuracy, and concluded that \"the average science entry in Wikipedia contained around four inaccuracies; \"Britannica\", about three.\" Joseph Reagle suggested that while the study reflects \"a topical strength of Wikipedia contributors\" in science articles, \"Wikipedia may not have fared so well using a random sampling of articles or on humanities subjects.\" Others raised similar critiques. The findings by \"Nature\" were disputed by \"Encyclop\u00e6dia Britannica\", and in response, \"Nature\" gave a rebuttal of the points raised by \"Britannica\". In addition to the point-for-point disagreement between these two parties, others have examined the sample size and selection method used in the \"Nature\" effort, and suggested a \"flawed study design\" (in \"Nature\"s manual selection of articles, in part or in whole, for comparison), absence of statistical analysis (e.g., of reported confidence intervals), and a lack of study \"statistical power\" (i.e., owing to small sample size, 42 or 4\u00d7 10 articles compared, vs >10 and >10 set sizes for \"Britannica\" and the English Wikipedia, respectively).As a consequence of the open structure, Wikipedia \"makes no guarantee of validity\" of its content, since no one is ultimately responsible for any claims appearing in it. Concerns have been raised by \"PC World\" in 2009 regarding the lack of accountability that results from users' anonymity, the insertion of false information, vandalism, and similar problems.Economist Tyler Cowen wrote: \"If I had to guess whether Wikipedia or the median refereed journal article on economics was more likely to be true after a not so long think I would opt for Wikipedia.\" He comments that some traditional sources of non-fiction suffer from systemic biases, and novel results, in his opinion, are over-reported in journal articles as well as relevant information being omitted from news reports. However, he also cautions that errors are frequently found on Internet sites and that academics and experts must be vigilant in correcting them. Amy Bruckman has argued that, due to the number of reviewers, \"the content of a popular Wikipedia page is actually the most reliable form of information ever created\".Critics argue that Wikipedia's open nature and a lack of proper sources for most of the information makes it unreliable. Some commentators suggest that Wikipedia may be reliable, but that the reliability of any given article is not clear. Editors of traditional reference works such as the \"Encyclop\u00e6dia Britannica\" have questioned the project's utility and status as an encyclopedia. Wikipedia co-founder Jimmy Wales has claimed that Wikipedia has largely avoided the problem of \"fake news\" because the Wikipedia community regularly debates the quality of sources in articles.Wikipedia's open structure inherently makes it an easy target for Internet trolls, spammers, and various forms of paid advocacy seen as counterproductive to the maintenance of a neutral and verifiable online encyclopedia.In response to paid advocacy editing and undisclosed editing issues, Wikipedia was reported in an article in \"The Wall Street Journal\" to have strengthened its rules and laws against undisclosed editing. The article stated that: \"Beginning Monday [from the date of the article, June 16, 2014], changes in Wikipedia's terms of use will require anyone paid to edit articles to disclose that arrangement. Katherine Maher, the nonprofit Wikimedia Foundation's chief communications officer, said the changes address a sentiment among volunteer editors that, 'we're not an advertising service; we're an encyclopedia. These issues, among others, had been parodied since the first decade of Wikipedia, notably by Stephen Colbert on \"The Colbert Report\".\"Legal Research in a Nutshell\" (2011), cites Wikipedia as a \"general source\" that \"can be a real boon\" in \"coming up to speed in the law governing a situation\" and, \"while not authoritative, can provide basic facts as well as leads to more in-depth resources\".Most university lecturers discourage students from citing any encyclopedia in academic work, preferring primary sources; some specifically prohibit Wikipedia citations. Wales stresses that encyclopedias of any type are not usually appropriate to use as citable sources, and should not be relied upon as authoritative. Wales once (2006 or earlier) said he receives about ten emails weekly from students saying they got failing grades on papers because they cited Wikipedia; he told the students they got what they deserved. \"For God's sake, you're in college; don't cite the encyclopedia\", he said.In February 2007, an article in \"The Harvard Crimson\" newspaper reported that a few of the professors at Harvard University were including Wikipedia articles in their syllabi, although without realizing the articles might change. In June 2007, former president of the American Library Association Michael Gorman condemned Wikipedia, along with Google, stating that academics who endorse the use of Wikipedia are \"the intellectual equivalent of a dietitian who recommends a steady diet of Big Macs with everything\".In contrast, academic writing in Wikipedia has evolved in recent years and has been found to increase student interest, personal connection to the product, creativity in material processing, and international collaboration in the learning process.On March 5, 2014, Julie Beck writing for \"The Atlantic\" magazine in an article titled \"Doctors' #1 Source for Healthcare Information: Wikipedia\", stated that \"Fifty percent of physicians look up conditions on the (Wikipedia) site, and some are editing articles themselves to improve the quality of available information.\" Beck continued to detail in this article new programs of Amin Azzam at the University of San Francisco to offer medical school courses to medical students for learning to edit and improve Wikipedia articles on health-related issues, as well as internal quality control programs within Wikipedia organized by James Heilman to improve a group of 200 health-related articles of central medical importance up to Wikipedia's highest standard of articles using its Featured Article and Good Article peer-review evaluation process. In a May 7, 2014, follow-up article in \"The Atlantic\" titled \"Can Wikipedia Ever Be a Definitive Medical Text?\", Julie Beck quotes WikiProject Medicine's James Heilman as stating: \"Just because a reference is peer-reviewed doesn't mean it's a high-quality reference.\" Beck added that: \"Wikipedia has its own peer review process before articles can be classified as 'good' or 'featured'. Heilman, who has participated in that process before, says 'less than one percent' of Wikipedia's medical articles have passed.\"Wikipedia seeks to create a summary of all human knowledge in the form of an online encyclopedia, with each topic covered encyclopedically in one article. Since it has terabytes of disk space, it can have far more topics than can be covered by any printed encyclopedia. The exact degree and manner of coverage on Wikipedia is under constant review by its editors, and disagreements are not uncommon (see deletionism and inclusionism). Wikipedia contains materials that some people may find objectionable, offensive, or pornographic. The \"Wikipedia is not censored\" policy has sometimes proved controversial: in 2008, Wikipedia rejected an online petition against the inclusion of images of Muhammad in the English edition of its Muhammad article, citing this policy. The presence of politically, religiously, and pornographically sensitive materials in Wikipedia has led to the censorship of Wikipedia by national authorities in China and Pakistan, amongst other countries.A 2008 study conducted by researchers at Carnegie Mellon University and Palo Alto Research Center gave a distribution of topics as well as growth (from July 2006 to January 2008) in each field:These numbers refer only to the number of articles: it is possible for one topic to contain a large number of short articles and another to contain a small number of large ones. Through its \"Wikipedia Loves Libraries\" program, Wikipedia has partnered with major public libraries such as the New York Public Library for the Performing Arts to expand its coverage of underrepresented subjects and articles.A 2011 study conducted by researchers at the University of Minnesota indicated that male and female editors focus on different coverage topics. There was a greater concentration of females in the \"people and arts\" category, while males focus more on \"geography and science\".Research conducted by Mark Graham of the Oxford Internet Institute in 2009 indicated that the geographic distribution of article topics is highly uneven. Africa is the most underrepresented. Across 30 language editions of Wikipedia, historical articles and sections are generally Eurocentric and focused on recent events.An editorial in \"The Guardian\" in 2014 claimed that more effort went into providing references for a list of female porn actors than a list of women writers. Data has also shown that Africa-related material often faces omission; a knowledge gap that a July 2018 Wikimedia conference in Cape Town sought to address.When multiple editors contribute to one topic or set of topics, systemic bias may arise, due to the demographic backgrounds of the editors. In 2011, Wales claimed that the unevenness of coverage is a reflection of the demography of the editors, citing for example \"biographies of famous women through history and issues surrounding early childcare\". The October 22, 2013, essay by Tom Simonite in MIT's \"Technology Review\" titled \"The Decline of Wikipedia\" discussed the effect of systemic bias and policy creep on the downward trend in the number of editors.Systemic bias on Wikipedia may follow that of culture generally, for example favoring certain nationalities, ethnicities or majority religions. It may more specifically follow the biases of Internet culture, inclining to be young, male, English-speaking, educated, technologically aware, and wealthy enough to spare time for editing. Biases, intrinsically, may include an overemphasis on topics such as pop culture, technology, and current events.Taha Yasseri of the University of Oxford, in 2013, studied the statistical trends of systemic bias at Wikipedia introduced by editing conflicts and their resolution. His research examined the counterproductive work behavior of edit warring. Yasseri contended that simple reverts or \"undo\" operations were not the most significant measure of counterproductive behavior at Wikipedia and relied instead on the statistical measurement of detecting \"reverting/reverted pairs\" or \"mutually reverting edit pairs\". Such a \"mutually reverting edit pair\" is defined where one editor reverts the edit of another editor who then, in sequence, returns to revert the first editor in the \"mutually reverting edit pairs\". The results were tabulated for several language versions of Wikipedia. The English Wikipedia's three largest conflict rates belonged to the articles George W. Bush, anarchism, and Muhammad. By comparison, for the German Wikipedia, the three largest conflict rates at the time of the Oxford study were for the articles covering Croatia, Scientology, and 9/11 conspiracy theories.Researchers from Washington University developed a statistical model to measure systematic bias in the behavior of Wikipedia's users regarding controversial topics. The authors focused on behavioral changes of the encyclopedia's administrators after assuming the post, writing that systematic bias occurred after the fact.Wikipedia has been criticized for allowing information about graphic content. Articles depicting what some critics have called objectionable content (such as feces, cadaver, human penis, vulva, and nudity) contain graphic pictures and detailed information easily available to anyone with access to the internet, including children.The site also includes sexual content such as images and videos of masturbation and ejaculation, illustrations of zoophilia, and photos from hardcore pornographic films in its articles. It also has non-sexual photographs of nude children.The Wikipedia article about \"Virgin Killer\"\u2014a 1976 album from the German rock band Scorpions\u2014features a picture of the album's original cover, which depicts a naked prepubescent girl. The original release cover caused controversy and was replaced in some countries. In December 2008, access to the Wikipedia article \"Virgin Killer\" was blocked for four days by most Internet service providers in the United Kingdom after the Internet Watch Foundation (IWF) decided the album cover was a potentially illegal indecent image and added the article's URL to a \"blacklist\" it supplies to British internet service providers.In April 2010, Sanger wrote a letter to the Federal Bureau of Investigation, outlining his concerns that two categories of images on Wikimedia Commons contained child pornography, and were in violation of US federal obscenity law. Sanger later clarified that the images, which were related to pedophilia and one about lolicon, were not of real children, but said that they constituted \"obscene visual representations of the sexual abuse of children\", under the PROTECT Act of 2003. That law bans photographic child pornography and cartoon images and drawings of children that are obscene under American law. Sanger also expressed concerns about access to the images on Wikipedia in schools. Wikimedia Foundation spokesman Jay Walsh strongly rejected Sanger's accusation, saying that Wikipedia did not have \"material we would deem to be illegal. If we did, we would remove it.\" Following the complaint by Sanger, Wales deleted sexual images without consulting the community. After some editors who volunteered to maintain the site argued that the decision to delete had been made hastily, Wales voluntarily gave up some of the powers he had held up to that time as part of his co-founder status. He wrote in a message to the Wikimedia Foundation mailing-list that this action was \"in the interest of encouraging this discussion to be about real philosophical/content issues, rather than be about me and how quickly I acted\". Critics, including Wikipediocracy, noticed that many of the pornographic images deleted from Wikipedia since 2010 have reappeared.One privacy concern in the case of Wikipedia is the right of a private citizen to remain a \"private citizen\" rather than a \"public figure\" in the eyes of the law. It is a battle between the right to be anonymous in cyberspace and the right to be anonymous in real life (\"meatspace\"). A particular problem occurs in the case of a relatively unimportant individual and for whom there exists a Wikipedia page against her or his wishes.In January 2006, a German court ordered the German Wikipedia shut down within Germany because it stated the full name of Boris Floricic, aka \"Tron\", a deceased hacker. On February 9, 2006, the injunction against Wikimedia Deutschland was overturned, with the court rejecting the notion that Tron's right to privacy or that of his parents was being violated.Wikipedia has a \"\" that uses Znuny, a free and open-source software fork of OTRS to handle queries without having to reveal the identities of the involved parties. This is used, for example, in confirming the permission for using individual images and other media in the project.The perceived toxic attitudes and tolerance of violent and abusive language were reasons put forth in 2013 for the gender gap in Wikipedia editorship.A comprehensive 2008 survey, published in 2016, by Julia B. Bear of Stony Brook University's College of Business and Benjamin Collier of Carnegie Mellon University found significant gender differences in: confidence in expertise, discomfort with editing, and response to critical feedback. \"Women reported less confidence in their expertise, expressed greater discomfort with editing (which typically involves conflict), and reported more negative responses to critical feedback compared to men.\"Wikipedia is hosted and funded by the Wikimedia Foundation, a non-profit organization which also operates Wikipedia-related projects such as Wiktionary and Wikibooks. The foundation relies on public contributions and grants to fund its mission. The foundation's 2013 IRS Form 990 shows revenue of $39.7\u00a0million and expenses of almost $29\u00a0million, with assets of $37.2\u00a0million and liabilities of about $2.3\u00a0million.In May 2014, Wikimedia Foundation named Lila Tretikov as its second executive director, taking over for Sue Gardner. The \"Wall Street Journal\" reported on May 1, 2014, that Tretikov's information technology background from her years at University of California offers Wikipedia an opportunity to develop in more concentrated directions guided by her often repeated position statement that, \"Information, like air, wants to be free.\" The same \"Wall Street Journal\" article reported these directions of development according to an interview with spokesman Jay Walsh of Wikimedia, who \"said Tretikov would address that issue (paid advocacy) as a priority. 'We are really pushing toward more transparency... We are reinforcing that paid advocacy is not welcome.' Initiatives to involve greater diversity of contributors, better mobile support of Wikipedia, new geo-location tools to find local content more easily, and more tools for users in the second and third world are also priorities\", Walsh said.Following the departure of Tretikov from Wikipedia due to issues concerning the use of the \"superprotection\" feature which some language versions of Wikipedia have adopted, Katherine Maher became the third executive director of the Wikimedia Foundation in June 2016. Maher stated that one of her priorities would be the issue of editor harassment endemic to Wikipedia as identified by the Wikipedia board in December. Maher stated regarding the harassment issue that: \"It establishes a sense within the community that this is a priority... [and that correction requires that] it has to be more than words.\"Maher served as executive director until April 2021. Maryana Iskander was named the incoming CEO in September 2021, and took over that role in January 2022.Wikipedia is also supported by many organizations and groups that are affiliated with the Wikimedia Foundation but independently-run, called Wikimedia movement affiliates. These include Wikimedia chapters (which are national or sub-national organizations, such as Wikimedia Deutschland and Wikim\u00e9dia France), thematic organizations (such as Amical Wikimedia for the Catalan language community), and user groups. These affiliates participate in the promotion, development, and funding of Wikipedia.The operation of Wikipedia depends on MediaWiki, a custom-made, free and open source wiki software platform written in PHP and built upon the MySQL database system. The software incorporates programming features such as a macro language, variables, a transclusion system for templates, and URL redirection. MediaWiki is licensed under the GNU General Public License (GPL) and it is used by all Wikimedia projects, as well as many other wiki projects. Originally, Wikipedia ran on UseModWiki written in Perl by Clifford Adams (Phase I), which initially required CamelCase for article hyperlinks; the present double bracket style was incorporated later. Starting in January 2002 (Phase II), Wikipedia began running on a PHP wiki engine with a MySQL database; this software was custom-made for Wikipedia by Magnus Manske. The Phase II software was repeatedly modified to accommodate the exponentially increasing demand. In July 2002 (Phase III), Wikipedia shifted to the third-generation software, MediaWiki, originally written by Lee Daniel Crocker.In April 2005, a Lucene extension was added to MediaWiki's built-in search and Wikipedia switched from MySQL to Lucene for searching. Lucene was later replaced by CirrusSearch which is based on Elasticsearch.In July 2013, after extensive beta testing, a WYSIWYG (What You See Is What You Get) extension, VisualEditor, was opened to public use. It was met with much rejection and criticism, and was described as \"slow and buggy\". The feature was changed from opt-out to opt-in afterward.Computer programs called bots have often been used to perform simple and repetitive tasks, such as correcting common misspellings and stylistic issues, or to start articles such as geography entries in a standard format from statistical data. One controversial contributor, , creating articles with his bot was reported to create up to 10,000 articles on the Swedish Wikipedia on certain days. Additionally, there are bots designed to automatically notify editors when they make common editing errors (such as unmatched quotes or unmatched parentheses). Edits falsely identified by bots as the work of a banned editor can be restored by other editors. An anti-vandal bot is programmed to detect and revert vandalism quickly. Bots are able to indicate edits from particular accounts or IP address ranges, as occurred at the time of the shooting down of the MH17 jet incident in July 2014 when it was reported that edits were made via IPs controlled by the Russian government. Bots on Wikipedia must be approved before activation.According to Andrew Lih, the current expansion of Wikipedia to millions of articles would be difficult to envision without the use of such bots.Wikipedia receives between 25,000 and 60,000-page requests per second, depending on the time of the day. page requests are first passed to a front-end layer of Varnish caching servers and back-end layer caching is done by Apache Traffic Server. Further statistics, based on a publicly available 3-month Wikipedia access trace, are available. Requests that cannot be served from the Varnish cache are sent to load-balancing servers running the Linux Virtual Server software, which in turn pass them to one of the Apache web servers for page rendering from the database. The web servers deliver pages as requested, performing page rendering for all the language editions of Wikipedia. To increase speed further, rendered pages are cached in a distributed memory cache until invalidated, allowing page rendering to be skipped entirely for most common page accesses.Wikipedia currently runs on dedicated clusters of Linux servers running the Debian operating system. there were 300 in Florida and 44 in Amsterdam. By January 22, 2013, Wikipedia had migrated its primary data center to an Equinix facility in Ashburn, Virginia. In 2017, Wikipedia installed a caching cluster in an Equinix facility in Singapore, the first of its kind in Asia.Following growing amounts of incoming donations exceeding seven digits in 2013 as recently reported, the Foundation has reached a threshold of assets which qualify its consideration under the principles of industrial organization economics to indicate the need for the re-investment of donations into the internal research and development of the Foundation. Two of the recent projects of such internal research and development have been the creation of a Visual Editor and a largely under-utilized \"Thank\" tab which were developed to ameliorate issues of editor attrition, which have met with limited success. The estimates for reinvestment by industrial organizations into internal research and development was studied by Adam Jaffe, who recorded that the range of 4% to 25% annually was to be recommended, with high-end technology requiring the higher level of support for internal reinvestment. At the 2013 level of contributions for Wikimedia presently documented as 45\u00a0million dollars, the computed budget level recommended by Jaffe and Caballero for reinvestment into internal research and development is between 1.8\u00a0million and 11.3\u00a0million dollars annually. In 2016, the level of contributions were reported by\" Bloomberg News\" as being at $77\u00a0million annually, updating the Jaffe estimates for the higher level of support to between $3.08\u00a0million and $19.2\u00a0million annually.Community-produced news publications include the English Wikipedia's \"The Signpost\", founded in 2005 by Michael Snow, an attorney, Wikipedia administrator, and former chair of the Wikimedia Foundation board of trustees. It covers news and events from the site, as well as major events from other Wikimedia projects, such as Wikimedia Commons. Similar publications are the German-language \"Kurier\", and the Portuguese-language \"Correio da Wikip\u00e9dia\". Other past and present community news publications on English Wikipedia include the \"Wikiworld\" webcomic, the Wikipedia Weekly podcast, and newsletters of specific WikiProjects like \"The Bugle\" from WikiProject Military History and the monthly newsletter from The Guild of Copy Editors. There are also several publications from the Wikimedia Foundation and multilingual publications such as Wikimedia Diff and \"This Month in Education\".The Wikipedia Library is a resource for Wikipedia editors which provides free access to a wide range of digital publications, so that they can consult and cite these while editing the encyclopedia. Over 60 publishers have partnered with The Wikipedia Library to provide access to their resources: when ICE Publishing joined in 2020, a spokesman said \"By enabling free access to our content for Wikipedia editors, we hope to further the research community's resources \u2013 creating and updating Wikipedia entries on civil engineering which are read by thousands of monthly readers.\"When the project was started in 2001, all text in Wikipedia was covered by the GNU Free Documentation License (GFDL), a copyleft license permitting the redistribution, creation of derivative works, and commercial use of content while authors retain copyright of their work. The GFDL was created for software manuals that come with free software programs licensed under the GPL. This made it a poor choice for a general reference work: for example, the GFDL requires the reprints of materials from Wikipedia to come with a full copy of the GFDL text. In December 2002, the Creative Commons license was released: it was specifically designed for creative works in general, not just for software manuals. The license gained popularity among bloggers and others distributing creative works on the Web. The Wikipedia project sought the switch to the Creative Commons. Because the two licenses, GFDL and Creative Commons, were incompatible, in November 2008, following the request of the project, the Free Software Foundation (FSF) released a new version of the GFDL designed specifically to allow Wikipedia to by August 1, 2009. (A new version of the GFDL automatically covers Wikipedia contents.) In April 2009, Wikipedia and its sister projects held a community-wide referendum which decided the switch in June 2009.The handling of media files (e.g. image files) varies across language editions. Some language editions, such as the English Wikipedia, include non-free image files under fair use doctrine, while the others have opted not to, in part because of the lack of fair use doctrines in their home countries (e.g. in Japanese copyright law). Media files covered by free content licenses (e.g. Creative Commons' CC BY-SA) are shared across language editions via Wikimedia Commons repository, a project operated by the Wikimedia Foundation. Wikipedia's accommodation of varying international copyright laws regarding images has led some to observe that its photographic coverage of topics lags behind the quality of the encyclopedic text.The Wikimedia Foundation is not a licensor of content on Wikipedia and/or its related projects, but merely a hosting service for contributors to and licensors of Wikipedia, a position which was successfully defended in 2004 in a court in France.Because Wikipedia content is distributed under an open license, anyone can reuse or re-distribute it at no charge. The content of Wikipedia has been published in many forms, both online and offline, outside the Wikipedia website.Obtaining the full contents of Wikipedia for reuse presents challenges, since direct cloning via a web crawler is discouraged. Wikipedia publishes of its contents, but these are text-only; there was no dump available of Wikipedia's images. is a for-profit solution to this.Several languages of Wikipedia also maintain a reference desk, where volunteers answer questions from the general public. According to a study by Pnina Shachaf in the \"Journal of Documentation\", the quality of the Wikipedia reference desk is comparable to a standard library reference desk, with an accuracy of 55 percent.Wikipedia's original medium was for users to read and edit content using any standard web browser through a fixed Internet connection. Although Wikipedia content has been accessible through the mobile web since July 2013, \"The New York Times\" on February 9, 2014, quoted Erik M\u00f6ller, deputy director of the Wikimedia Foundation, stating that the transition of internet traffic from desktops to mobile devices was significant and a cause for concern and worry. The article in \"The New York Times\" reported the comparison statistics for mobile edits stating that, \"Only 20 percent of the readership of the English-language Wikipedia comes via mobile devices, a figure substantially lower than the percentage of mobile traffic for other media sites, many of which approach 50 percent. And the shift to mobile editing has lagged even more.\" \"The New York Times\" reports that M\u00f6ller has assigned \"a team of 10 software developers focused on mobile\", out of a total of approximately 200 employees working at the Wikimedia Foundation. One principal concern cited by \"The New York Times\" for the \"worry\" is for Wikipedia to effectively address attrition issues with the number of editors which the online encyclopedia attracts to edit and maintain its content in a mobile access environment.\"Bloomberg Businessweek\" reported in July 2014 that Google's Android mobile apps have dominated the largest share of global smartphone shipments for 2013 with 78.6% of market share over their next closest competitor in iOS with 15.2% of the market. At the time of the Tretikov appointment and her posted web interview with Sue Gardner in May 2014, Wikimedia representatives made a technical announcement concerning the number of mobile access systems in the market seeking access to Wikipedia. Directly after the posted web interview, the representatives stated that Wikimedia would be applying an all-inclusive approach to accommodate as many mobile access systems as possible in its efforts for expanding general mobile access, including BlackBerry and the Windows Phone system, making market share a secondary issue. The Android app for Wikipedia was released on July 23, 2014, to generally positive reviews, scoring over four of a possible five in a poll of approximately 200,000 users downloading from Google. The version for iOS was released on April 3, 2013, to similar reviews. Later versions have also been released.Access to Wikipedia from mobile phones was possible as early as 2004, through the Wireless Application Protocol (WAP), via the Wapedia service. In June 2007 Wikipedia launched en.mobile.wikipedia.org, an official website for wireless devices. In 2009 a newer mobile service was officially released, located at en.m.wikipedia.org, which caters to more advanced mobile devices such as the iPhone, Android-based devices or WebOS-based devices. Several other methods of mobile access to Wikipedia have emerged. Many devices and applications optimize or enhance the display of Wikipedia content for mobile devices, while some also incorporate additional features such as use of Wikipedia metadata, such as geoinformation.Wikipedia Zero was an initiative of the Wikimedia Foundation to expand the reach of the encyclopedia to the developing countries. It was discontinued in February 2018.Andrew Lih and Andrew Brown both maintain editing Wikipedia with smartphones is difficult and this discourages new potential contributors. The number of Wikipedia editors has been declining after several years and Tom Simonite of \"MIT Technology Review\" claims the bureaucratic structure and rules are a factor in this. Simonite alleges some Wikipedians use the labyrinthine rules and guidelines to dominate others and those editors have a vested interest in keeping the status quo. Lih alleges there is a serious disagreement among existing contributors on how to resolve this. Lih fears for Wikipedia's long-term future while Brown fears problems with Wikipedia will remain and rival encyclopedias will not replace it.Access to the Chinese Wikipedia has been blocked in mainland China since May 2015. This was done after Wikipedia started to use HTTPS encryption, which made selective censorship more difficult.In 2017, \"Quartz\" reported that the Chinese government had begun creating an unofficial version of Wikipedia. However, unlike Wikipedia, the website's contents would only be editable by scholars from state-owned Chinese institutions. The article stated it had been approved by the State Council of the People's Republic of China in 2011.In 2017\u201318, after a barrage of false news reports, both Facebook and YouTube announced they would rely on Wikipedia to help their users evaluate reports and reject false news. Noam Cohen, writing in \"The Washington Post\" states, \"YouTube's reliance on Wikipedia to set the record straight builds on the thinking of another fact-challenged platform, the Facebook social network, which announced last year that Wikipedia would help its users root out 'fake news'.\" Alexa records the daily pageviews per visitor as 3.03 and the average daily time on site as 3:46 minutes.In February 2014, \"The New York Times\" reported that Wikipedia was ranked fifth globally among all websites, stating \"With 18 billion page views and nearly 500 million unique visitors a month... Wikipedia trails just Yahoo, Facebook, Microsoft and Google, the largest with 1.2 billion unique visitors.\" However, its ranking dropped to 13th globally by June 2020 due mostly to a rise in popularity of Chinese websites for online shopping.In addition to logistic growth in the number of its articles, Wikipedia has steadily gained status as a general reference website since its inception in 2001. The number of readers of Wikipedia worldwide reached 365\u00a0million at the end of 2009. The Pew Internet and American Life project found that one third of US Internet users consulted Wikipedia. In 2011 \"Business Insider\" gave Wikipedia a valuation of $4\u00a0billion if it ran advertisements.According to \"Wikipedia Readership Survey 2011\", the average age of Wikipedia readers is 36, with a rough parity between genders. Almost half of Wikipedia readers visit the site more than five times a month, and a similar number of readers specifically look for Wikipedia in search engine results. About 47 percent of Wikipedia readers do not realize that Wikipedia is a non-profit organization.During the COVID-19 pandemic, Wikipedia's coverage of the pandemic received international media attention, and brought an increase in Wikipedia readership overall.Wikipedia's content has also been used in academic studies, books, conferences, and court cases. The Parliament of Canada's website refers to Wikipedia's article on same-sex marriage in the \"related links\" section of its \"further reading\" list for the \"Civil Marriage Act\". The encyclopedia's assertions are increasingly used as a source by organizations such as the US federal courts and the World Intellectual Property Organization\u2014though mainly for \"supporting information\" rather than information decisive to a case. Content appearing on Wikipedia has also been cited as a source and referenced in some US intelligence agency reports. In December 2008, the scientific journal \"RNA Biology\" launched a new section for descriptions of families of RNA molecules and requires authors who contribute to the section to also submit a draft article on the RNA family for publication in Wikipedia.Wikipedia has also been used as a source in journalism, often without attribution, and several reporters have been dismissed for plagiarizing from Wikipedia.In 2006, \"Time\" magazine recognized Wikipedia's participation (along with YouTube, Reddit, MySpace, and Facebook) in the rapid growth of online collaboration and interaction by millions of people worldwide.In July 2007, Wikipedia was the focus of a 30-minute documentary on BBC Radio 4 which argued that, with increased usage and awareness, the number of references to Wikipedia in popular culture is such that the word is one of a select group of 21st-century nouns that are so familiar (Google, Facebook, YouTube) that they no longer need explanation.On September 28, 2007, Italian politician Franco Grillini raised a parliamentary question with the minister of cultural resources and activities about the necessity of freedom of panorama. He said that the lack of such freedom forced Wikipedia, \"the seventh most consulted website\", to forbid all images of modern Italian buildings and art, and claimed this was hugely damaging to tourist revenues.On September 16, 2007, \"The Washington Post\" reported that Wikipedia had become a focal point in the 2008 US election campaign, saying: \"Type a candidate's name into Google, and among the first results is a Wikipedia page, making those entries arguably as important as any ad in defining a candidate. Already, the presidential entries are being edited, dissected and debated countless times each day.\" An October 2007 Reuters article, titled \"Wikipedia page the latest status symbol\", reported the recent phenomenon of how having a Wikipedia article vindicates one's notability.Active participation also has an impact. Law students have been assigned to write Wikipedia articles as an exercise in clear and succinct writing for an uninitiated audience.A working group led by Peter Stone (formed as a part of the Stanford-based project One Hundred Year Study on Artificial Intelligence) in its report called Wikipedia \"the best-known example of crowdsourcing... that far exceeds traditionally-compiled information sources, such as encyclopedias and dictionaries, in scale and depth\".In a 2017 opinion piece for \"Wired\", Hossein Derakhshan describes Wikipedia as \"one of the last remaining pillars of the open and decentralized web\" and contrasted its existence as a text-based source of knowledge with social media and social networking services, the latter having \"since colonized the web for television's values\". For Derakhshan, Wikipedia's goal as an encyclopedia represents the Age of Enlightenment tradition of rationality triumphing over emotions, a trend which he considers \"endangered\" due to the \"gradual shift from a typographic culture to a photographic one, which in turn mean[s] a shift from rationality to emotions, exposition to entertainment\". Rather than \"\" (), social networks have led to a culture of \"dare not to care to know\". This is while Wikipedia faces \"a more concerning problem\" than funding, namely \"a flattening growth rate in the number of contributors to the website\". Consequently, the challenge for Wikipedia and those who use it is to \"save Wikipedia and its promise of a free and open collection of all human knowledge amid the conquest of new and old television\u2014how to collect and preserve knowledge when nobody cares to know.\"Wikipedia won two major awards in May 2004. The first was a Golden Nica for Digital Communities of the annual Prix Ars Electronica contest; this came with a \u20ac10,000 (\u00a36,588; $12,700) grant and an invitation to present at the PAE Cyberarts Festival in Austria later that year. The second was a Judges' Webby Award for the \"community\" category.In 2007, readers of brandchannel.com voted Wikipedia as the fourth-highest brand ranking, receiving 15 percent of the votes in answer to the question \"Which brand had the most impact on our lives in 2006?\"In September 2008, Wikipedia received Quadriga \"A Mission of Enlightenment\" award of Werkstatt Deutschland along with Boris Tadi\u0107, Eckart H\u00f6fling, and Peter Gabriel. The award was presented to Wales by David Weinberger.In 2015, Wikipedia was awarded both the annual Erasmus Prize, which recognizes exceptional contributions to culture, society or social sciences, and the Spanish Princess of Asturias Award on International Cooperation. Speaking at the Asturian Parliament in Oviedo, the city that hosts the awards ceremony, Jimmy Wales praised the work of the Asturian language Wikipedia users.Many parodies target Wikipedia's openness and susceptibility to inserted inaccuracies, with characters vandalizing or modifying the online encyclopedia project's articles.Comedian Stephen Colbert has parodied or referenced Wikipedia on numerous episodes of his show \"The Colbert Report\" and coined the related term \"wikiality\", meaning \"together we can create a reality that we all agree on\u2014the reality we just agreed on\". Another example can be found in \"Wikipedia Celebrates 750 Years of American Independence\", a July 2006 front-page article in \"The Onion\", as well as the 2010 \"The Onion\" article \"'L.A. Law' Wikipedia Page Viewed 874 Times Today\".In an April 2007 episode of the American television comedy \"The Office\", office manager (Michael Scott) is shown relying on a hypothetical Wikipedia article for information on negotiation tactics to assist him in negotiating lesser pay for an employee. Viewers of the show tried to add the episode's mention of the page as a section of the actual Wikipedia article on negotiation, but this effort was prevented by other users on the article's talk page.\"My Number One Doctor\", a 2007 episode of the television show \"Scrubs\", played on the perception that Wikipedia is an unreliable reference tool with a scene in which Perry Cox reacts to a patient who says that a Wikipedia article indicates that the raw food diet reverses the effects of bone cancer by retorting that the same editor who wrote that article also wrote the \"Battlestar Galactica\" episode guide.In 2008, the comedy website \"CollegeHumor\" produced a video sketch named \"Professor Wikipedia\", in which the fictitious Professor Wikipedia instructs a class with a medley of unverifiable and occasionally absurd statements.The \"Dilbert\" comic strip from May 8, 2009, features a character supporting an improbable claim by saying \"Give me ten minutes and then check Wikipedia.\"In July 2009, BBC Radio 4 broadcast a comedy series called \"Bigipedia\", which was set on a website which was a parody of Wikipedia. Some of the sketches were directly inspired by Wikipedia and its articles.On August 23, 2013, the \"New Yorker\" website published a cartoon with this caption: \"Dammit, Manning, have you considered the pronoun war that this is going to start on your Wikipedia page?\" The cartoon referred to Chelsea Elizabeth Manning (born Bradley Edward Manning), an American activist, politician, and former United States Army soldier and a trans woman.In December 2015, John Julius Norwich stated, in a letter published in \"The Times\" newspaper, that as a historian he resorted to Wikipedia \"at least a dozen times a day\", and had never yet caught it out. He described it as \"a work of reference as useful as any in existence\", with so wide a range that it is almost impossible to find a person, place, or thing that it has left uncovered and that he could never have written his last two books without it.Wikipedia has spawned several sister projects, which are also wikis run by the Wikimedia Foundation. These other Wikimedia projects include Wiktionary, a dictionary project launched in December 2002, Wikiquote, a collection of quotations created a week after Wikimedia launched, Wikibooks, a collection of collaboratively written free textbooks and annotated texts, Wikimedia Commons, a site devoted to free-knowledge multimedia, Wikinews, for citizen journalism, and Wikiversity, a project for the creation of free learning materials and the provision of online learning activities. Another sister project of Wikipedia, Wikispecies, is a catalogue of species. In 2012 Wikivoyage, an editable travel guide, and Wikidata, an editable knowledge base, launched.The most obvious economic effect of Wikipedia has been the death of commercial encyclopedias, especially the printed versions, e.g. \"Encyclop\u00e6dia Britannica\", which were unable to compete with a product that is essentially free. Nicholas Carr wrote a 2005 essay, \"The amorality of Web 2.0\", that criticized websites with user-generated content, like Wikipedia, for possibly leading to professional (and, in his view, superior) content producers' going out of business, because \"free trumps quality all the time\". Carr wrote: \"Implicit in the ecstatic visions of Web 2.0 is the hegemony of the amateur. I for one can't imagine anything more frightening.\" Others dispute the notion that Wikipedia, or similar efforts, will entirely displace traditional publications. For instance, Chris Anderson, the editor-in-chief of \"Wired Magazine\", wrote in \"Nature\" that the \"wisdom of crowds\" approach of Wikipedia will not displace top scientific journals, with their rigorous peer review process.There is also an ongoing debate about the influence of Wikipedia on the biography publishing business. \"The worry is that, if you can get all that information from Wikipedia, what's left for biography?\" said Kathryn Hughes, professor of life writing at the University of East Anglia and author of \"The Short Life and Long Times of Mrs Beeton\" and \"George Eliot: the Last Victorian\".Wikipedia has been widely used as a corpus for linguistic research in computational linguistics, information retrieval and natural language processing. In particular, it commonly serves as a target knowledge base for the entity linking problem, which is then called \"wikification\", and to the related problem of word-sense disambiguation. Methods similar to wikification can in turn be used to find \"missing\" links in Wikipedia.In 2015, French researchers Jos\u00e9 Lages of the University of Franche-Comt\u00e9 in Besan\u00e7on and Dima Shepelyansky of Paul Sabatier University in Toulouse published a global university ranking based on Wikipedia scholarly citations. They used PageRank, CheiRank and similar algorithms \"followed by the number of appearances in the 24 different language editions of Wikipedia (descending order) and the century in which they were founded (ascending order)\". The study was updated in 2019.Studies related to Wikipedia have been using machine learning and artificial intelligence to support various operations. One of the most important areas\u2014automatic detection of vandalism and data quality assessment in Wikipedia.In February 2022, civil servants from the UK's Department for Levelling Up, Housing and Communities were found to have used Wikipedia for research in the drafting of the Levelling Up White Paper after journalists at \"The Independent\" noted that parts of the document had been lifted directly from Wikipedia articles on Constantinople and the list of largest cities throughout history.Several interactive multimedia encyclopedias incorporating entries written by the public existed long before Wikipedia was founded. The first of these was the 1986 BBC Domesday Project, which included text (entered on BBC Micro computers) and photographs from more than a million contributors in the UK, and covered the geography, art, and culture of the UK. This was the first interactive multimedia encyclopedia (and was also the first major multimedia document connected through internal links), with the majority of articles being accessible through an interactive map of the UK. The user interface and part of the content of the Domesday Project were emulated on a website until 2008.Several free-content, collaborative encyclopedias were created around the same period as Wikipedia (e.g. Everything2), with many later being merged into the project (e.g. GNE). One of the most successful early online encyclopedias incorporating entries by the public was h2g2, which was created by Douglas Adams in 1999. The h2g2 encyclopedia is relatively lighthearted, focusing on articles which are both witty and informative.Subsequent collaborative knowledge websites have drawn inspiration from Wikipedia. Others use more traditional peer review, such as \"Encyclopedia of Life\" and the online wiki encyclopedias \"Scholarpedia\" and Citizendium. The latter was started by Sanger in an attempt to create a reliable alternative to Wikipedia.", "chunks": [{"text": "Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers through open collaboration and a wiki-based editing system. Its editors are known as Wikipedians. Wikipedia is the largest and most-read reference work in history. It is consistently one of the 10 most popular websites ranked by Similarweb and formerly Alexa; Wikipedia was ranked the 5th most popular site in the world. 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Sanger coined its name as a blend of \"wiki\" and \"encyclopedia\". Wales was influenced by the \"spontaneous order\" ideas associated with Friedrich Hayek and the Austrian School of economics after being exposed to these ideas by the libertarian economist Mark Thornton. Initially available only in English, versions in other languages were quickly developed. Its combined editions comprise more than articles, attracting around 2billion unique device visits per month and more than 17 million edits per month (1.9edits per second) . In 2006, \"Time\" magazine stated that the policy of allowing anyone to edit had made Wikipedia the \"biggest (and perhaps best) encyclopedia in the world\".", "emb": [-0.14864303171634674, 0.3028322160243988, 0.27102163434028625, 0.02596346288919449, -0.44981375336647034, 0.24187925457954407, 0.4369525611400604, -0.3154197037220001, -0.3447571396827698, 0.9235225915908813, -0.23988530039787292, -0.3504970371723175, -0.5157577991485596, -0.3729022145271301, 0.27913743257522583, 0.13194146752357483, 0.5945085287094116, 0.1464495211839676, 0.07876816391944885, -0.254213809967041, -0.09673481434583664, 0.6023699641227722, -0.22974112629890442, -0.2323451042175293, 0.043516531586647034, -0.04757804423570633, -0.7806304097175598, -0.03283321484923363, -0.046116091310977936, 0.14387956261634827, 0.6885595917701721, -0.39450764656066895, -0.11116302758455276, 0.3727385401725769, -0.5489121675491333, 0.6569931507110596, 0.20103904604911804, 0.3999271094799042, -0.5179020166397095, 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The reliability of Wikipedia was frequently criticized in the 2000s, but has improved over time, as Wikipedia has been generally praised in the late 2010s and early 2020s. The website's coverage of controversial topics such as American politics and major events like the COVID-19 pandemic and the Russian invasion of Ukraine has received substantial media attention. It has been censored by world governments, ranging from specific pages to the entire site. In April 2018, Facebook and YouTube announced that they would help users detect fake news by suggesting fact-checking links to related Wikipedia articles. Articles on breaking news are often accessed as a source of frequently updated information about those events.", "emb": [-0.3624339699745178, 0.08286422491073608, 0.021236564964056015, 0.28962111473083496, -0.1918092966079712, -0.429891973733902, 0.30756455659866333, -0.39753541350364685, -0.010819300077855587, 0.25185123085975647, -0.41767826676368713, -0.1286928802728653, -0.1494041383266449, 0.30547112226486206, -0.3187974989414215, 0.14778220653533936, 0.719670832157135, 0.14594022929668427, -0.048574261367321014, 0.04128793627023697, 0.029548663645982742, 0.826059103012085, -0.17248284816741943, -0.6055068969726562, -0.11952368915081024, 0.3810550570487976, -0.27153754234313965, 0.18821662664413452, 0.3428134620189667, 0.14465776085853577, 0.28375017642974854, -0.1510673463344574, 0.1998254507780075, 0.7453709244728088, -0.7190696001052856, 0.42257773876190186, 0.24305015802383423, 0.2311922311782837, -0.08188353478908539, -0.030938994139432907, 0.026804892346262932, 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Wikipedia began as a complementary project for Nupedia, a free online English-language encyclopedia project whose articles were written by experts and reviewed under a formal process. It was founded on March 9, 2000, under the ownership of Bomis, a web portal company. Its main figures were Bomis CEO Jimmy Wales and Larry Sanger, editor-in-chief for Nupedia and later Wikipedia. Nupedia was initially licensed under its own Nupedia Open Content License, but before Wikipedia was founded, Nupedia switched to the GNU Free Documentation License at the urging of Richard Stallman. Wales is credited with defining the goal of making a publicly editable encyclopedia, while Sanger is credited with the strategy of using a wiki to reach that goal. On January 10, 2001, Sanger proposed on the Nupedia mailing list to create a wiki as a \"feeder\" project for Nupedia.", "emb": [-0.17092221975326538, 0.5233594179153442, -0.18155208230018616, -0.2878507673740387, -0.1342313289642334, -0.10453463345766068, 0.6328405141830444, -0.3323036730289459, -0.027288781479001045, 0.20365354418754578, -0.3229905962944031, -0.14322735369205475, -0.23635618388652802, -0.014936023391783237, -0.2646058201789856, 0.2256031334400177, 0.7713342905044556, 0.4625459909439087, 0.25929152965545654, -0.2840821146965027, -0.21031293272972107, 0.5549513101577759, -0.6669612526893616, -0.5101979374885559, 0.023178985342383385, -0.04654933512210846, -0.4930095374584198, -0.14976482093334198, 0.2844863533973694, -0.15501774847507477, 0.5729426145553589, -0.22381870448589325, -0.24236610531806946, 0.2219349592924118, -0.6091919541358948, 0.409945011138916, 0.0935070589184761, 0.4566551446914673, -0.3819286525249481, 0.6591700911521912, -0.12885114550590515, 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Its integral policy of \"neutral point-of-view\" was codified in its first few months. Otherwise, there were initially relatively few rules, and it operated independently of Nupedia. Bomis originally intended it as a business for profit.", "emb": [-0.06221647933125496, 0.536895215511322, -0.4208916425704956, -0.1734112948179245, -0.2249384969472885, 0.07589556276798248, 0.3022997975349426, -0.39460909366607666, -0.3621792495250702, 0.49186646938323975, -0.36096230149269104, -0.1004118099808693, -0.5130437612533569, -0.21936558187007904, -0.2416621595621109, -0.46982520818710327, 0.7137710452079773, -0.19920925796031952, 0.09770076721906662, -0.011939900927245617, -0.2718125879764557, 0.685839056968689, -0.3689190745353699, -0.13088755309581757, 0.1582280993461609, 0.24360820651054382, -0.13964518904685974, -0.09256143867969513, 0.20058535039424896, 0.11941728740930557, 0.419199675321579, -0.23575514554977417, -0.2766285240650177, 0.06331075727939606, -0.19930393993854523, 0.45522403717041016, 0.19463294744491577, 0.6282355785369873, 0.34943684935569763, 0.2886248528957367, -0.4003092348575592, 0.030684327706694603, 0.6263153553009033, 0.1649443507194519, 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Language editions were created beginning in March 2001, with a total of 161 in use by the end of 2004. Nupedia and Wikipedia coexisted until the former's servers were taken down permanently in 2003, and its text was incorporated into Wikipedia. The English Wikipedia passed the mark of two million articles on September 9, 2007, making it the largest encyclopedia ever assembled, surpassing the \"Yongle Encyclopedia\" made during the Ming Dynasty in 1408, which had held the record for almost 600\u00a0years.", "emb": [0.2851431965827942, -0.1926090270280838, -0.14145538210868835, 0.2884969711303711, -0.19301220774650574, -0.17900848388671875, 0.5509345531463623, -0.3555583655834198, -0.1307544708251953, 0.40812861919403076, -0.35291993618011475, -0.07833264768123627, -0.32696714997291565, -0.5557214617729187, 0.026651039719581604, 0.29388850927352905, 0.42359745502471924, 0.5193236470222473, 0.006639871280640364, -0.1817508339881897, -0.18801333010196686, 0.6422147750854492, -0.5286730527877808, -0.3374514877796173, 0.12590844929218292, 0.0675443485379219, -0.21661075949668884, -0.08656040579080582, -0.024611247703433037, -0.011013766750693321, 0.7989761233329773, -0.1707409918308258, -0.19498834013938904, 0.6023949980735779, 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Wales then announced that Wikipedia would not display advertisements, and changed Wikipedia's domain from \"wikipedia.com\" to \"wikipedia.org\".", "emb": [0.12268498539924622, 0.015932194888591766, -0.029948076233267784, -0.03862304612994194, -0.28486329317092896, -0.3748842775821686, 0.4935140013694763, -0.4351542294025421, -0.12925872206687927, 0.30673521757125854, -0.17306989431381226, -0.12206219136714935, -0.1859150528907776, -0.2788897752761841, -0.2326817810535431, 0.22930708527565002, 0.6043497920036316, 0.16153377294540405, 0.5377736687660217, -0.1226300522685051, -0.012974802404642105, 0.7718058228492737, -0.26611328125, -0.11524810642004013, -0.2943226993083954, 0.26658400893211365, -0.24148660898208618, 0.05876680836081505, 0.2521827816963196, 0.13281141221523285, 0.7282328009605408, -0.107814721763134, -0.0041370391845703125, 0.3828618824481964, -0.0004680633428506553, 0.25764134526252747, 0.40919697284698486, 0.434774786233902, -0.17524223029613495, 0.37481027841567993, 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Around 1,800 articles were added daily to the encyclopedia in 2006; by 2013 that average was roughly 800. A team at the Palo Alto Research Center attributed this slowing of growth to the project's increasing exclusivity and resistance to change. Others suggest that the growth is flattening naturally because articles that could be called \"low-hanging fruit\"\u2014topics that clearly merit an article\u2014have already been created and built up extensively.", "emb": [0.002708958927541971, 0.11586873978376389, 0.19441011548042297, 0.18747204542160034, 0.14947739243507385, -0.24897630512714386, 0.20491275191307068, -0.3347780704498291, -0.10949276387691498, 0.5640943050384521, -0.42255762219429016, 0.023011423647403717, -0.3344738185405731, -0.44125667214393616, -0.10539592802524567, 0.23068271577358246, 0.4479159712791443, 0.10690750926733017, -0.17640946805477142, -0.3738000988960266, -0.20631109178066254, 0.5797452330589294, -0.05207227170467377, -0.20829252898693085, 0.0723939836025238, -0.11457426846027374, -0.3887070119380951, -0.14506426453590393, -0.08073265105485916, 0.30896511673927307, 0.6739168763160706, 0.01157156191766262, -0.07471812516450882, 0.708368718624115, -0.7362878918647766, 0.49810975790023804, 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Wales disputed these claims in 2009, denying the decline and questioning the study's methodology. Two years later, in 2011, he acknowledged a slight decline, noting a decrease from \"a little more than 36,000 writers\" in June 2010 to 35,800 in June 2011. In the same interview, he also claimed the number of editors was \"stable and sustainable\". A 2013 \"MIT Technology Review\" article, \"The Decline of Wikipedia\", questioned this claim, revealing that since 2007, Wikipedia had lost a third of its volunteer editors, and that those remaining had focused increasingly on minutiae. In July 2012, \"The Atlantic\" reported that the number of administrators was also in decline. In the November 25, 2013, issue of \"New York\" magazine, Katherine Ward stated, \"Wikipedia, the sixth-most-used website, is facing an internal crisis.\"", "emb": [0.12969091534614563, -0.2935512363910675, 0.7482722997665405, 0.11340437084436417, -0.5191170573234558, 0.03347785025835037, 0.37179097533226013, -0.360044926404953, 0.17216581106185913, 0.5169952511787415, -0.1997784972190857, 0.0011647790670394897, -0.16322803497314453, -0.6181907653808594, -0.2700934112071991, 0.6853880286216736, 0.6204977035522461, 0.22596022486686707, 0.2876819372177124, -0.43602120876312256, -0.12174778431653976, 0.6060956716537476, -0.5297772288322449, -0.20972563326358795, -0.1490655392408371, 0.3189240097999573, -0.5994863510131836, 0.05395785719156265, -0.3016219437122345, 0.25596746802330017, 0.9570705890655518, -0.21146006882190704, -0.18170851469039917, 0.646843433380127, -0.8241705894470215, 0.37450575828552246, 0.009595980867743492, 0.637148380279541, -0.5712704658508301, 0.3955107033252716, 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With 42.9\u00a0million unique visitors, it was ranked #9, surpassing \"The New York Times\" (#10) and Apple (#11). This marked a significant increase over January 2006, when Wikipedia ranked 33rd, with around 18.3\u00a0million unique visitors. , it ranked 13th in popularity according to Alexa Internet. In 2014, it received eight billion page views every month. On February 9, 2014, \"The New York Times\" reported that Wikipedia had 18\u00a0billion page views and nearly 500\u00a0million unique visitors a month, \"according to the ratings firm comScore\". Loveland and Reagle argue that, in process, Wikipedia follows a long tradition of historical encyclopedias that have accumulated improvements piecemeal through \"stigmergic accumulation\".", "emb": [0.025186102837324142, -0.16779747605323792, 0.1454203575849533, 0.027108708396553993, 0.2972951829433441, 0.46952584385871887, 0.07527653127908707, -0.3281032145023346, 0.11714077740907669, 0.419808954000473, -0.4178256392478943, -0.0925857350230217, -0.4105738699436188, -0.3914102613925934, -0.03081844188272953, 0.21629749238491058, 0.5007180571556091, -0.017820388078689575, 0.15109461545944214, -0.2186054140329361, -0.07015674561262131, 0.5831586122512817, -0.37107574939727783, -0.6256934404373169, 0.12932516634464264, 0.12160680443048477, -0.2716633081436157, -0.14921094477176666, 0.15678000450134277, 0.4187853932380676, 0.4735867977142334, -0.03261373192071915, 0.09681475162506104, 0.5759018063545227, -0.3946438133716583, 0.5163202285766602, 0.4432653784751892, 0.5549388527870178, 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More than 162\u00a0million people viewed the blackout explanation page that temporarily replaced its content.", "emb": [0.2687322497367859, 0.1881895214319229, -0.2504537105560303, 0.2554669976234436, -0.030187929049134254, -0.12815044820308685, 0.37021905183792114, -0.4133617877960205, 0.07149255275726318, 0.6057033538818359, -0.2135045975446701, -0.001093616709113121, -0.3648834228515625, 0.08763937652111053, -0.18233555555343628, -0.17764051258563995, 0.6660093069076538, -0.024448977783322334, -0.2563738524913788, 0.03265819326043129, 0.008809510618448257, 0.7403326630592346, -0.28692469000816345, -0.11729492992162704, -0.28086933493614197, 0.30174779891967773, 0.01613117754459381, 0.18881265819072723, 0.13443253934383392, 0.13589757680892944, 0.9193987250328064, -0.31413644552230835, 0.025863029062747955, 0.5379740595817566, -0.37311646342277527, 0.37948983907699585, -0.28921806812286377, 0.5245333313941956, 0.15049564838409424, -0.15851503610610962, 0.07500486820936203, 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There was a decline of about two billion between December 2012 and December 2013. Its most popular versions are leading the slide: page-views of the English Wikipedia declined by twelve percent, those of German version slid by 17 percent and the Japanese version lost nine percent.\" Varma added, \"While Wikipedia's managers think that this could be due to errors in counting, other experts feel that Google's Knowledge Graphs project launched last year may be gobbling up Wikipedia users.\" When contacted on this matter, Clay Shirky, associate professor at New York University and fellow at Harvard's Berkman Klein Center for Internet & Society said that he suspected much of the page-view decline was due to Knowledge Graphs, stating, \"If you can get your question answered from the search page, you don't need to click [any further].\" By the end of December 2016, Wikipedia was ranked the fifth most popular website globally.", "emb": [-0.20860567688941956, -0.17622984945774078, -0.09067942947149277, 0.1541186273097992, 0.31405025720596313, 0.09790003299713135, 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In April 2019, an Israeli lunar lander, Beresheet, crash landed on the surface of the Moon carrying a copy of nearly all of the English Wikipedia engraved on thin nickel plates; experts say the plates likely survived the crash. In June 2019, scientists reported that all 16\u00a0GB of article text from the English Wikipedia had been encoded into synthetic DNA.", "emb": [0.3442470133304596, 0.014505474828183651, 0.04697788506746292, 0.14273914694786072, -0.005497215315699577, 0.007528314366936684, 0.4124365448951721, -0.3769209384918213, -0.049864694476127625, 0.0074849240481853485, -0.14210957288742065, -0.16982313990592957, 0.1568499356508255, -0.5041354894638062, 0.05732567235827446, 0.3562246561050415, 0.5744524598121643, 0.03071168065071106, -0.42524251341819763, -0.5101258158683777, 0.03175225481390953, 0.9695146083831787, -0.16886188089847565, -0.4852571189403534, -0.13813456892967224, 0.2078140676021576, -0.5063306093215942, 0.013826443813741207, -0.018989814445376396, 0.381846159696579, 0.971621036529541, -0.31377938389778137, -0.37400782108306885, 0.9088988900184631, -0.2750406861305237, 0.6344956755638123, 0.12239694595336914, 0.925988495349884, -0.19072505831718445, -0.5706853270530701, 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For instance, on the English Wikipedia and some other language editions, only registered users may create a new article. On the English Wikipedia, among others, particularly controversial, sensitive or vandalism-prone pages have been protected to varying degrees. A frequently vandalized article can be \"semi-protected\" or \"extended confirmed protected\", meaning that only \"autoconfirmed\" or \"extended confirmed\" editors can modify it. A particularly contentious article may be locked so that only administrators can make changes. A 2021 article in the \"Columbia Journalism Review\" identified Wikipedia's page-protection policies as \"perhaps the most important\" means at its disposal to \"regulate its market of ideas\".", "emb": [0.013239321298897266, 0.13302135467529297, 0.12921243906021118, 0.3435021936893463, -0.07618644088506699, -0.12929263710975647, 0.3965260684490204, -0.47187840938568115, -0.2656150460243225, 0.23232686519622803, -0.5393239259719849, -0.14538706839084625, -0.3648156523704529, 0.11298385262489319, -0.0474715530872345, -0.11246315389871597, 0.8555821180343628, -0.05480731651186943, -0.045406781136989594, 0.011229966767132282, -0.1421457678079605, 0.43437159061431885, -0.19442251324653625, -0.2587926387786865, -0.10833600908517838, 0.25869929790496826, -0.023237677291035652, 0.1154462918639183, 0.060966819524765015, 0.027454063296318054, 0.7171074748039246, -0.02307465858757496, -0.13468565046787262, 0.610843300819397, -0.644209086894989, 0.22800973057746887, 0.09707055985927582, 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For example, the German Wikipedia maintains \"stable versions\" of articles which have passed certain reviews. Following protracted trials and community discussion, the English Wikipedia introduced the \"pending changes\" system in December 2012. Under this system, new and unregistered users' edits to certain controversial or vandalism-prone articles are reviewed by established users before they are published.", "emb": [-0.11359186470508575, 0.07790574431419373, 0.1997920721769333, 0.18654751777648926, -0.23795895278453827, 0.06849707663059235, 0.47791871428489685, -0.49122050404548645, -0.32382306456565857, 0.4059765338897705, -0.7175478339195251, -0.12828519940376282, -0.38060954213142395, -0.10267938673496246, -0.017453132197260857, 0.1490684449672699, 0.6057727336883545, 0.16856274008750916, -0.012530382722616196, -0.20055478811264038, -0.1868736296892166, 0.38311588764190674, 0.08237899839878082, -0.21452990174293518, -0.2490445375442505, 0.3349085748195648, -0.19947567582130432, 0.32890617847442627, -0.04933340474963188, -0.08879672735929489, 0.6569477319717407, -0.1452425718307495, -0.09927981346845627, 0.31304168701171875, -0.1507701873779297, 0.334697961807251, 0.008510244078934193, 0.173177570104599, 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Each article's History page links to each revision. On most articles, anyone can undo others' changes by clicking a link on the article's History page. 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The most common and obvious types of vandalism include additions of obscenities and crude humor; it can also include advertising and other types of spam. Sometimes editors commit vandalism by removing content or entirely blanking a given page. Less common types of vandalism, such as the deliberate addition of plausible but false information, can be more difficult to detect. Vandals can introduce irrelevant formatting, modify page semantics such as the page's title or categorization, manipulate the article's underlying code, or use images disruptively.", "emb": [-0.2736586630344391, 0.21899089217185974, 0.305111289024353, 0.5764009952545166, 0.06814196705818176, -0.19305863976478577, 0.1639365553855896, -0.3942112624645233, -0.19637268781661987, 0.13839825987815857, -0.3381597697734833, 0.14827340841293335, 0.19703099131584167, 0.12051323801279068, 0.16916139423847198, 0.24627652764320374, 0.6304687261581421, -0.13265612721443176, 0.18059062957763672, 0.09017644077539444, -0.06640312820672989, 0.4946986734867096, -0.20194180309772491, -0.3594647943973541, -0.3183102309703827, 0.235062837600708, -0.03386758267879486, 0.20708748698234558, -0.2344118356704712, -0.05127015337347984, 0.3716777265071869, 0.015282528474926949, -0.290822833776474, 0.536848783493042, -0.277908056974411, 0.3278544545173645, 0.1364067941904068, 0.39903053641319275, 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Kennedy. It remained uncorrected for four months. Seigenthaler, the founding editorial director of \"USA Today\" and founder of the Freedom Forum First Amendment Center at Vanderbilt University, called Wikipedia co-founder Jimmy Wales and asked whether he had any way of knowing who contributed the misinformation. Wales said he did not, although the perpetrator was eventually traced. After the incident, Seigenthaler described Wikipedia as \"a flawed and irresponsible research tool\". 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It is widely seen as a resource-consuming scenario where no useful knowledge is added, and criticized as creating a competitive and conflict-based editing culture associated with traditional masculine gender roles.", "emb": [0.07020886242389679, 0.2667807936668396, 0.223755344748497, 0.3824426531791687, -0.1915096491575241, -0.10941530764102936, 0.40973493456840515, -0.37152373790740967, -0.372516930103302, 0.5231332182884216, -0.4653252065181732, -0.012327051721513271, -0.42989885807037354, 0.15543700754642487, -0.3165620267391205, 0.20797091722488403, 0.47604870796203613, 0.024940263479948044, -0.004193917848169804, 0.18180665373802185, -0.2433132380247116, 0.5467456579208374, 0.07220872491598129, -0.34546899795532227, -0.07829666137695312, 0.5199928879737854, -0.2492520958185196, 0.2326083928346634, 0.008959641680121422, -0.04359350726008415, 0.49339908361434937, -0.11438503861427307, -0.31533586978912354, 0.5079837441444397, -0.32720720767974854, 0.41157007217407227, 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Beyond legal matters, the editorial principles of Wikipedia are embodied in the \"Five pillars\" and in numerous policies and guidelines intended to appropriately shape content. Even these rules are stored in wiki form, and Wikipedia editors write and revise the website's policies and guidelines. Editors can by deleting or modifying non-compliant material. Originally, rules on the non-English editions of Wikipedia were based on a translation of the rules for the English Wikipedia. They have since diverged to some extent.", "emb": [-0.273703932762146, 0.3693218231201172, 0.04722638055682182, -0.023073356598615646, -0.6379015445709229, -0.280844509601593, 0.6188017129898071, -0.388065367937088, -0.09791729599237442, 0.196210578083992, -0.25184130668640137, -0.10276506841182709, -0.5241963863372803, 0.14533014595508575, -0.08934900164604187, 0.1943671554327011, 0.6250256299972534, 0.2658064365386963, -0.10460139811038971, -0.06700833886861801, -0.3377460539340973, 0.6765546202659607, -0.13165873289108276, -0.4418744742870331, -0.1281617432832718, 0.05993529036641121, -0.00745701277628541, 0.3174173831939697, -0.4579586088657379, 0.028707243502140045, 0.38125285506248474, -0.23890440165996552, -0.2500447630882263, 0.5548378825187683, -0.5540704131126404, 0.25563305616378784, -0.13448269665241241, 0.3250887989997864, -0.3379364013671875, 0.26330459117889404, 0.2199150025844574, 0.18411019444465637, 0.1775057166814804, -0.14594964683055878, -0.026384606957435608, 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A topic should also meet Wikipedia's standards of \"notability\", which generally means that the topic must have been covered in mainstream media or major academic journal sources that are independent of the article's subject. Further, Wikipedia intends to convey only knowledge that is already established and recognized. It must not present original research. A claim that is likely to be challenged requires a reference to a reliable source, as do all quotations. Among Wikipedia editors, this is often phrased as \"verifiability, not truth\" to express the idea that the readers, not the encyclopedia, are ultimately responsible for checking the truthfulness of the articles and making their own interpretations. This can at times lead to the removal of information that, though valid, is not properly sourced. 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In particular, editors can choose to run for \"adminship\", which includes the ability to delete pages or prevent them from being changed in cases of severe vandalism or editorial disputes. Administrators are not supposed to enjoy any special privilege in decision-making; instead, their powers are mostly limited to making edits that have project-wide effects and thus are disallowed to ordinary editors, and to implement restrictions intended to prevent disruptive editors from making unproductive edits.", "emb": [0.38170790672302246, -0.07149842381477356, 0.5500030517578125, 0.23747476935386658, -0.10740479081869125, -0.047037865966558456, 0.5981772541999817, -0.44979435205459595, 0.2342032492160797, 0.5301126837730408, -0.45405229926109314, -0.10290908813476562, -0.0876258909702301, 0.007672829553484917, -0.0069627296179533005, -0.24275144934654236, 0.5373912453651428, -0.008953295648097992, 0.19807440042495728, -0.0891946479678154, -0.1899699717760086, 0.29349756240844727, -0.4446927309036255, -0.14763779938220978, 0.005401906091719866, 0.003404768416658044, -0.3094462454319, 0.4143572449684143, 0.17950919270515442, -0.09431491047143936, 0.5428844094276428, 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Joseph Reagle and Sue Gardner argue that the approaches to consensus building are similar to those used by Quakers. A difference from Quaker meetings is the absence of a facilitator in the presence of disagreement, a role played by the clerk in Quaker meetings.", "emb": [0.3064576983451843, 0.3324711322784424, -0.18090234696865082, 0.3220400810241699, -0.10748255997896194, -0.20208929479122162, 0.26374709606170654, -0.26227298378944397, 0.4055916666984558, 0.5433728694915771, -0.518553614616394, -0.358245313167572, -0.2950649559497833, 0.26933491230010986, -0.1480894237756729, -0.22096024453639984, 0.29325076937675476, 0.2450442910194397, -0.045920874923467636, -0.16932867467403412, -0.05689641088247299, -0.017160311341285706, -0.5113722085952759, -0.025820743292570114, 0.11972281336784363, -0.14613324403762817, -0.441921204328537, -0.03353789821267128, 0.019945954903960228, 0.06594004482030869, 0.04763898253440857, -0.021037835627794266, -0.16992388665676117, 0.49442440271377563, -0.407912015914917, 0.26557984948158264, -0.24745871126651764, -0.20568443834781647, -0.18839281797409058, 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Although disputes usually arise from a disagreement between two opposing views on how an article should read, the Arbitration Committee explicitly refuses to directly rule on the specific view that should be adopted. Statistical analyses suggest that the committee ignores the content of disputes and rather focuses on the way disputes are conducted, functioning not so much to resolve disputes and make peace between conflicting editors, but to weed out problematic editors while allowing potentially productive editors back in to participate. Therefore, the committee does not dictate the content of articles, although it sometimes condemns content changes when it deems the new content violates Wikipedia policies (for example, if the new content is considered biased). Its remedies include cautions and probations (used in 63% of cases) and banning editors from articles (43%), subject matters (23%), or Wikipedia (16%). Complete bans from Wikipedia are generally limited to instances of impersonation and anti-social behavior. When conduct is not impersonation or anti-social, but rather anti-consensus or in violation of editing policies, remedies tend to be limited to warnings.", "emb": [0.08473945409059525, 0.028194574639201164, 0.1920277625322342, 0.33396536111831665, -0.3907868564128876, -0.3882753252983093, 0.43328791856765747, -0.4321025013923645, -0.11625441163778305, 0.47057658433914185, -0.4048295319080353, -0.18797667324543, -0.278852254152298, 0.285380095243454, -0.05661783739924431, -0.13800951838493347, 0.5783053636550903, -0.05111069232225418, 0.07667625695466995, -0.06454053521156311, -0.17200864851474762, 0.36034297943115234, -0.21090538799762726, -0.17466941475868225, -0.0631788894534111, 0.033405762165784836, -0.18988102674484253, 0.36112266778945923, -0.05985300615429878, -0.017469678074121475, 0.5254902839660645, -0.21917715668678284, -0.2599678039550781, 0.4216669201850891, -0.5564307570457458, 0.2863374650478363, -0.019386567175388336, 0.3757048547267914, -0.40780720114707947, 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As Wikipedia grew, \"Who writes Wikipedia?\" became one of the questions frequently asked there. Jimmy Wales once argued that only \"a community\u00a0... a dedicated group of a few hundred volunteers\" makes the bulk of contributions to Wikipedia and that the project is therefore \"much like any traditional organization\". In 2008, a \"Slate\" magazine article reported that: \"According to researchers in Palo Alto, one percent of Wikipedia users are responsible for about half of the site's edits.\" This method of evaluating contributions was later disputed by Aaron Swartz, who noted that several articles he sampled had large portions of their content (measured by number of characters) contributed by users with low edit counts.", "emb": [-0.027190493419766426, -0.062928706407547, 0.4301203787326813, -0.022878464311361313, -0.14602935314178467, 0.02311837673187256, 0.2226843386888504, -0.292794406414032, 0.011422048322856426, 0.4825291633605957, -0.33823075890541077, -0.1480153501033783, -0.5140753388404846, 0.2543255388736725, -0.3331679701805115, 0.18212521076202393, 0.7581048607826233, 0.3786407709121704, 0.10084068030118942, 0.06847121566534042, -0.06341657042503357, 0.4003894031047821, -0.12638595700263977, 0.0858134999871254, -0.12348894029855728, -0.07927636057138443, -0.7493219971656799, 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Becoming a Wikipedia insider involves non-trivial costs: the contributor is expected to learn Wikipedia-specific technological codes, submit to a sometimes convoluted dispute resolution process, and learn a \"baffling culture rich with in-jokes and insider references\". Editors who do not log in are in some sense second-class citizens on Wikipedia, as \"participants are accredited by members of the wiki community, who have a vested interest in preserving the quality of the work product, on the basis of their ongoing participation\", but the contribution histories of anonymous unregistered editors recognized only by their IP addresses cannot be attributed to a particular editor with certainty.", "emb": [0.12379729002714157, 0.033034585416316986, 0.2152075320482254, 0.25630703568458557, 0.020253976806998253, -0.22605785727500916, 0.21795576810836792, -0.4142511487007141, 0.16146476566791534, 0.5317490100860596, -0.5403047204017639, -0.012866020202636719, -0.49025431275367737, 0.3494005799293518, 0.08015761524438858, 0.24505124986171722, 0.7448883056640625, -0.005585822276771069, -0.0029972901102155447, -0.004314632620662451, -0.06112610176205635, 0.019620688632130623, -0.29673969745635986, 0.21932610869407654, -0.1978134959936142, 0.3722040355205536, 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Jimmy Wales stated in 2009 that \"[I]t turns out over 50% of all the edits are done by just 0.7% of the users... 524 people... And in fact, the most active 2%, which is 1400 people, have done 73.4% of all the edits.\" However, \"Business Insider\" editor and journalist Henry Blodget showed in 2009 that in a random sample of articles, most Wikipedia content (measured by the amount of contributed text that survives to the latest sampled edit) is created by \"outsiders\", while most editing and formatting is done by \"insiders\".", "emb": [-0.1769532859325409, -0.10609427094459534, 0.3104736804962158, 0.11451654136180878, -0.35738512873649597, -0.0864417776465416, -0.09238473325967789, -0.34069398045539856, -0.08143645524978638, 0.2641538679599762, -0.2838476896286011, -0.0669541284441948, -0.5034613609313965, 0.04422741383314133, -0.13030295073986053, 0.5767879486083984, 0.5358311533927917, 0.3548542857170105, -0.25764715671539307, -0.3327498137950897, 0.035528481006622314, 0.4522521495819092, -0.0018595497822389007, -0.4598592519760132, -0.240983784198761, -0.16951599717140198, -0.5145410895347595, 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small. 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Notably, the results of a Wikimedia Foundation survey in 2008 showed that only 13 percent of Wikipedia editors were female. Because of this, universities throughout the United States tried to encourage women to become Wikipedia contributors. Similarly, many of these universities, including Yale and Brown, gave college credit to students who create or edit an article relating to women in science or technology. Andrew Lih, a professor and scientist, wrote in \"The New York Times\" that the reason he thought the number of male contributors outnumbered the number of females so greatly was because identifying as a woman may expose oneself to \"ugly, intimidating behavior\". Data has shown that Africans are underrepresented among Wikipedia editors.", "emb": [-0.35156428813934326, 0.19376526772975922, 0.7117528319358826, 0.03728340566158295, -0.43112045526504517, -0.19411592185497284, 0.5363335013389587, -0.351200670003891, 0.20762760937213898, 0.4223179817199707, -0.35203883051872253, 0.11286352574825287, -0.3153516352176666, -0.01702936738729477, -0.5541768670082092, 0.7575963735580444, 0.8504055738449097, 0.5624764561653137, 0.10206572711467743, 0.09354539215564728, -0.29036495089530945, 0.48748740553855896, 0.10814830660820007, -0.31754717230796814, -0.14422784745693207, 0.050074588507413864, -0.4773057997226715, 0.4008235037326813, -0.09092529863119125, -0.054834671318531036, 0.7394059300422668, -0.4065571129322052, -0.2872668206691742, 0.7283185124397278, -0.5270381569862366, 0.328453004360199, -0.2411159873008728, 0.3192019760608673, -0.058915600180625916, 0.1664377897977829, 0.15846706926822662, 0.12827327847480774, -0.10969235002994537, 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As of 2022, the six largest, in order of article count, are the , , , , , and Wikipedias. The and -largest Wikipedias owe their position to the article-creating bot Lsjbot, which had created about half the articles on the Swedish Wikipedia, and most of the articles in the Cebuano and Waray Wikipedias. The latter are both languages of the Philippines.", "emb": [0.22714100778102875, 0.23371535539627075, 0.13603617250919342, 0.11606670916080475, -0.34951919317245483, -0.12920604646205902, 0.165004700422287, -0.3115357756614685, 0.16130901873111725, 0.7504953145980835, -0.1427018791437149, 0.27419349551200867, -0.47517600655555725, -0.3539188802242279, -0.32586002349853516, 0.03375221788883209, 0.5938298106193542, 0.17953604459762573, -0.21858619153499603, -0.04549668729305267, -0.12761275470256805, 0.48350048065185547, -0.18490886688232422, -0.6241627335548401, -0.06934411823749542, -0.22227756679058075, -0.07732522487640381, 0.11284402757883072, 0.06411340832710266, 0.27092498540878296, 0.23747238516807556, -0.6044687032699585, -0.35144540667533875, 0.5211499929428101, -0.5527974367141724, 0.2781445384025574, 0.13459070026874542, 0.36993539333343506, -0.07549715042114258, -0.13565753400325775, 0.10598292946815491, 0.4811469316482544, -0.2737922668457031, 0.035922572016716, 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The largest, the English Wikipedia, has over 0.1*floor(/100000) million articles. the English Wikipedia receives 48% of Wikipedia's cumulative traffic, with the remaining split among the other languages. The top 10 editions represent approximately 85% of the total traffic.", "emb": [0.07511555403470993, -0.10434868186712265, 0.018595650792121887, 0.2652660608291626, 0.173730731010437, 0.1805742084980011, 0.20940007269382477, -0.38984414935112, -0.005908341612666845, 0.4377044141292572, -0.2937641441822052, 0.03952993452548981, -0.43539875745773315, -0.3786841034889221, -0.10826558619737625, 0.2085641771554947, 0.5658113956451416, 0.3663557767868042, -0.17696300148963928, -0.010343294590711594, -0.2913780212402344, 0.5653424859046936, -0.10606563091278076, -0.47092583775520325, -0.0918378233909607, -0.13307368755340576, -0.11582832038402557, -0.056103117763996124, 0.001824891776777804, 0.22004210948944092, 0.3895271122455597, -0.304627925157547, -0.1482095867395401, 0.7026851773262024, -0.3964278995990753, 0.357256680727005, -0.05079584941267967, 0.2028469741344452, -0.02134012058377266, -0.018546462059020996, 0.5817338228225708, 0.29228779673576355, -0.22509995102882385, 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Though each language edition functions more or less independently, some efforts are made to supervise them all. They are coordinated in part by Meta-Wiki, the Wikimedia Foundation's wiki devoted to maintaining all its projects (Wikipedia and others). For instance, Meta-Wiki provides important statistics on all language editions of Wikipedia, and it maintains a list of articles every Wikipedia should have. The list concerns basic content by subject: biography, history, geography, society, culture, science, technology, and mathematics. It is not rare for articles strongly related to a particular language not to have counterparts in another edition. For example, articles about small towns in the United States might be available only in English, even when they meet the notability criteria of other language Wikipedia projects.", "emb": [0.08883658796548843, 0.2711685597896576, 0.05187985673546791, 0.17476525902748108, 0.07608947157859802, 0.056238189339637756, 0.4605034291744232, -0.3982967734336853, -0.08290305733680725, 0.7342548370361328, -0.31023088097572327, -0.11168354749679565, -0.29432013630867004, -0.1920936405658722, -0.17542892694473267, 0.45578548312187195, 0.587956428527832, 0.18391232192516327, 0.06627260148525238, -0.26170870661735535, -0.4128924012184143, 0.5641767382621765, -0.34326615929603577, -0.3718554377555847, -0.2717832326889038, 0.0770852118730545, -0.1467805951833725, 0.05343267321586609, -0.023738466203212738, 0.11827611178159714, 0.7139999866485596, -0.07171519845724106, -0.2347375750541687, 0.41180476546287537, -0.659544050693512, 0.30318930745124817, 0.10432533174753189, 0.25510185956954956, 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average of five or more edits per month was relatively constant since 2008 for Wikipedia in other languages at approximately 42,000 editors within narrow seasonal variances of about 2,000 editors up or down. The number of active editors in English Wikipedia, by sharp comparison, was cited as peaking in 2007 at approximately 50,000 and dropping to 30,000 by the start of 2014.", "emb": [0.06358270347118378, 0.07798515260219574, 1.0111675262451172, 0.17216598987579346, -0.3732546865940094, -0.07683519273996353, 0.1744004786014557, -0.3493240475654602, -0.0049936408177018166, 0.7232639789581299, -0.34534043073654175, -0.15701542794704437, -0.22088824212551117, -0.4802687466144562, -0.1352529525756836, 0.7826241254806519, 0.2186308205127716, 0.33925139904022217, -0.40462157130241394, -0.1910313069820404, -0.1261371523141861, 0.5733904838562012, -0.17302235960960388, -0.124101422727108, -0.22640696167945862, 0.17896658182144165, -0.3487701416015625, -0.15269258618354797, 0.07432124763727188, 0.5015009641647339, 0.5788527727127075, -0.07769431173801422, -0.38809630274772644, 0.3533984422683716, -0.7388190031051636, 0.43537411093711853, 0.3883390426635742, 0.37729910016059875, -0.3723933696746826, 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No comment was made concerning which of the differentiated edit policy standards from Wikipedia in other languages (non-English Wikipedia) would provide a possible alternative to English Wikipedia for effectively ameliorating substantial editor attrition rates on the English-language Wikipedia.", "emb": [0.24527394771575928, 0.008708029985427856, 0.46627020835876465, -0.01692832261323929, -0.35189884901046753, 0.00743767898529768, 0.14589378237724304, -0.3877319395542145, -0.06588287651538849, 0.7115105986595154, -0.6034603714942932, -0.14139840006828308, -0.37984514236450195, -0.3280252516269684, -0.0427410714328289, 0.3585532605648041, 0.5452842116355896, 0.4498682916164398, -0.3610977232456207, 0.06794024258852005, -0.23025432229042053, 0.47314709424972534, -0.1232570931315422, -0.15675294399261475, -0.10807649791240692, 0.04777546972036362, -0.08437409996986389, -0.015855122357606888, 0.21003875136375427, 0.14419418573379517, 0.5143685340881348, -0.3172684609889984, 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In 2010, columnist and journalist Edwin Black described Wikipedia as being a mixture of \"truth, half-truth, and some falsehoods\". Articles in \"The Chronicle of Higher Education\" and \"The Journal of Academic Librarianship\" have criticized Wikipedia's \"Undue Weight\" policy, concluding that the fact that Wikipedia explicitly is not designed to provide correct information about a subject, but rather focus on all the major viewpoints on the subject, give less attention to minor ones, and creates omissions that can lead to false beliefs based on incomplete information.", "emb": [-0.22572389245033264, 0.05641503632068634, 0.1818196177482605, 0.5223686695098877, 0.12997817993164062, -0.11258282512426376, 0.5116857886314392, -0.3739556074142456, -0.2561934292316437, 0.528947114944458, -0.20580048859119415, -0.058095622807741165, -0.2990947961807251, 0.12308668345212936, -0.22615300118923187, 0.31029844284057617, 0.8550424575805664, 0.2128358632326126, -0.2089303582906723, -0.3196520209312439, -0.1546703279018402, 0.5710752010345459, -0.4217263460159302, -0.5416964292526245, -0.17109844088554382, 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However, a peer review in 2005 of forty-two scientific entries on both Wikipedia and \"Encyclop\u00e6dia Britannica\" by the science journal \"Nature\" found few differences in accuracy, and concluded that \"the average science entry in Wikipedia contained around four inaccuracies; \"Britannica\", about three.\" Joseph Reagle suggested that while the study reflects \"a topical strength of Wikipedia contributors\" in science articles, \"Wikipedia may not have fared so well using a random sampling of articles or on humanities subjects.\" Others raised similar critiques. The findings by \"Nature\" were disputed by \"Encyclop\u00e6dia Britannica\", and in response, \"Nature\" gave a rebuttal of the points raised by \"Britannica\". In addition to the point-for-point disagreement between these two parties, others have examined the sample size and selection method used in the \"Nature\" effort, and suggested a \"flawed study design\" (in \"Nature\"s manual selection of articles, in part or in whole, for comparison), absence of statistical analysis (e.g., of reported confidence intervals), and a lack of study \"statistical power\" (i.e., owing to small sample size, 42 or 4\u00d7 10 articles compared, vs >10 and >10 set sizes for \"Britannica\" and the English Wikipedia, respectively).", "emb": [-0.06941147893667221, -0.09822364151477814, -0.13530036807060242, 0.30666279792785645, -0.30965763330459595, -0.5389752388000488, 0.07732398062944412, -0.4559669494628906, 0.041783206164836884, 0.1945519745349884, -0.24107927083969116, -0.2342885285615921, -0.22564572095870972, 0.002315860241651535, -0.07074027508497238, 0.31367355585098267, 0.42584896087646484, 0.05153566598892212, -0.02428598701953888, -0.2960980534553528, 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However, he also cautions that errors are frequently found on Internet sites and that academics and experts must be vigilant in correcting them. Amy Bruckman has argued that, due to the number of reviewers, \"the content of a popular Wikipedia page is actually the most reliable form of information ever created\".", "emb": [0.09441572427749634, -0.2317138910293579, 0.15778560936450958, 0.09753947705030441, -0.35756874084472656, -0.22794733941555023, 0.1958530843257904, -0.34678730368614197, 0.25144919753074646, 0.3744564950466156, -0.3007037043571472, -0.3643689453601837, -0.6180307269096375, -0.03286582604050636, -0.00799107551574707, 0.0940658450126648, 0.54108065366745, 0.12795408070087433, 0.2928004264831543, -0.25499099493026733, -0.03649860993027687, 0.6300892233848572, 0.08119214326143265, -0.626562237739563, -0.04627245292067528, 0.3205256760120392, -0.5157278180122375, 0.06475907564163208, -0.21962811052799225, 0.35899779200553894, 0.38076481223106384, -0.3707122802734375, -0.21947742998600006, 0.4256199896335602, -0.2742167115211487, 0.3324526846408844, 0.18490548431873322, 0.14040441811084747, -0.14774656295776367, 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Some commentators suggest that Wikipedia may be reliable, but that the reliability of any given article is not clear. Editors of traditional reference works such as the \"Encyclop\u00e6dia Britannica\" have questioned the project's utility and status as an encyclopedia. Wikipedia co-founder Jimmy Wales has claimed that Wikipedia has largely avoided the problem of \"fake news\" because the Wikipedia community regularly debates the quality of sources in articles.", "emb": [-0.141822949051857, -0.08243145048618317, 0.07282181084156036, 0.1574828326702118, -0.1405610740184784, -0.3972715139389038, 0.3840272128582001, -0.3801230192184448, -0.16250313818454742, 0.48464229702949524, -0.2987094223499298, -0.29429587721824646, -0.34032636880874634, -0.01621405780315399, -0.043891578912734985, 0.22238130867481232, 0.6287757754325867, 0.3058076500892639, 0.4192677140235901, -0.33625084161758423, -0.19900597631931305, 0.6928016543388367, -0.23245146870613098, -0.3688100576400757, -0.25013184547424316, 0.12712059915065765, -0.3486044108867645, -0.02455754205584526, 0.2221350222826004, -0.048315443098545074, 0.48973917961120605, -0.059920746833086014, 0.05037640035152435, 0.5093724727630615, -0.29719194769859314, 0.2648856043815613, 0.24610532820224762, 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The article stated that: \"Beginning Monday [from the date of the article, June 16, 2014], changes in Wikipedia's terms of use will require anyone paid to edit articles to disclose that arrangement. Katherine Maher, the nonprofit Wikimedia Foundation's chief communications officer, said the changes address a sentiment among volunteer editors that, 'we're not an advertising service; we're an encyclopedia. These issues, among others, had been parodied since the first decade of Wikipedia, notably by Stephen Colbert on \"The Colbert Report\".", "emb": [-0.2897699475288391, 0.11542022973299026, -0.17245085537433624, 0.05180827155709267, -0.2733553349971771, -0.48736393451690674, -0.005571614485234022, -0.3887634873390198, -0.2884952127933502, 0.7069651484489441, -0.30242034792900085, -0.18746978044509888, -0.6522995233535767, 0.30171144008636475, -0.30717530846595764, 0.3331969678401947, 0.7745431065559387, 0.31782078742980957, 0.29853081703186035, -0.23968493938446045, -0.4015887677669525, 0.21125176548957825, -0.2201862931251526, -0.31996628642082214, -0.32935652136802673, 0.7170027494430542, -0.24376952648162842, -0.13441845774650574, 0.11978266388177872, -0.10585008561611176, 0.531937301158905, -0.24424585700035095, -0.1498107612133026, 0.49357596039772034, -0.6581422686576843, 0.3537807762622833, 0.4522709548473358, 0.49286675453186035, -0.18255457282066345, 0.9245613217353821, 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-0.1751309633255005]}, {"text": "Most university lecturers discourage students from citing any encyclopedia in academic work, preferring primary sources; some specifically prohibit Wikipedia citations. Wales stresses that encyclopedias of any type are not usually appropriate to use as citable sources, and should not be relied upon as authoritative. Wales once (2006 or earlier) said he receives about ten emails weekly from students saying they got failing grades on papers because they cited Wikipedia; he told the students they got what they deserved. \"For God's sake, you're in college; don't cite the encyclopedia\", he said.", "emb": [0.2276439219713211, 0.17159734666347504, 0.22621148824691772, 0.346361368894577, -0.2864232659339905, -0.1588950902223587, 0.6609609723091125, -0.401815801858902, 0.164866641163826, 0.15369845926761627, 0.14161905646324158, -0.08736177533864975, -0.4941720962524414, -0.24309666454792023, 0.17602446675300598, 0.34490901231765747, 0.32339537143707275, -0.06257592886686325, 0.44319847226142883, -0.12474498897790909, 0.07408381253480911, 0.20761577785015106, -0.302992045879364, -0.10389058291912079, -0.22742514312267303, 0.6332792043685913, -0.35664719343185425, 0.0322122722864151, -0.17704927921295166, -0.18455299735069275, 0.8196908831596375, -0.0792616754770279, -0.1011662557721138, 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-0.6299055218696594, 0.07777152210474014, -0.13448990881443024, 0.324870765209198, 0.2705461382865906, 0.8467592000961304, 0.5378673672676086, -0.16681461036205292, -0.16876673698425293, -0.15655259788036346]}, {"text": "On March 5, 2014, Julie Beck writing for \"The Atlantic\" magazine in an article titled \"Doctors' #1 Source for Healthcare Information: Wikipedia\", stated that \"Fifty percent of physicians look up conditions on the (Wikipedia) site, and some are editing articles themselves to improve the quality of available information.\" Beck continued to detail in this article new programs of Amin Azzam at the University of San Francisco to offer medical school courses to medical students for learning to edit and improve Wikipedia articles on health-related issues, as well as internal quality control programs within Wikipedia organized by James Heilman to improve a group of 200 health-related articles of central medical importance up to Wikipedia's highest standard of articles using its Featured Article and Good Article peer-review evaluation process. In a May 7, 2014, follow-up article in \"The Atlantic\" titled \"Can Wikipedia Ever Be a Definitive Medical Text?\", Julie Beck quotes WikiProject Medicine's James Heilman as stating: \"Just because a reference is peer-reviewed doesn't mean it's a high-quality reference.\" Beck added that: \"Wikipedia has its own peer review process before articles can be classified as 'good' or 'featured'. Heilman, who has participated in that process before, says 'less than one percent' of Wikipedia's medical articles have passed.\"", "emb": [0.143537700176239, 0.380482017993927, 0.36402052640914917, -0.014282099902629852, 0.2601054906845093, -0.456154465675354, 0.4263378977775574, -0.4272391200065613, 0.04926963523030281, 0.3945903480052948, -0.3281276822090149, -0.4622736871242523, -0.5223080515861511, -0.04441390186548233, -0.1625083088874817, 0.6785857677459717, 0.6160008907318115, 0.1534387469291687, -0.15439125895500183, -0.5721797943115234, -0.018411193042993546, 0.017898976802825928, 0.18240107595920563, -0.5886998176574707, -0.34597092866897583, 0.2587704360485077, -0.6664891242980957, 0.39888936281204224, -0.3523695468902588, 0.09561645984649658, 0.6810902953147888, -0.503242015838623, -0.28931471705436707, 0.7317594289779663, -0.9248232841491699, 0.33917492628097534, -0.04029853641986847, 0.6450133323669434, -0.023658432066440582, 0.4181361198425293, 0.3902304768562317, 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Since it has terabytes of disk space, it can have far more topics than can be covered by any printed encyclopedia. The exact degree and manner of coverage on Wikipedia is under constant review by its editors, and disagreements are not uncommon (see deletionism and inclusionism). Wikipedia contains materials that some people may find objectionable, offensive, or pornographic. The \"Wikipedia is not censored\" policy has sometimes proved controversial: in 2008, Wikipedia rejected an online petition against the inclusion of images of Muhammad in the English edition of its Muhammad article, citing this policy. The presence of politically, religiously, and pornographically sensitive materials in Wikipedia has led to the censorship of Wikipedia by national authorities in China and Pakistan, amongst other countries.", "emb": [0.21291117370128632, 0.15604230761528015, -0.19815796613693237, 0.20077982544898987, 0.1566840410232544, -0.4968576729297638, 0.2581457495689392, -0.36756888031959534, -0.125791996717453, 0.2822660803794861, -0.545703649520874, -0.04189751669764519, -0.1672975867986679, 0.04200320690870285, 0.01717909425497055, 0.2656700611114502, 0.6162223219871521, 0.09785515069961548, 0.10835066437721252, -0.18031524121761322, -0.08627395331859589, 0.6753764748573303, -0.20427992939949036, -0.477453351020813, -0.1286562979221344, 0.31882959604263306, -0.1277434229850769, 0.141623392701149, -0.12150123715400696, 0.03500721603631973, 0.5443304777145386, -0.05344972014427185, -0.24094758927822113, 0.3856443464756012, -0.31191903352737427, 0.29041776061058044, 0.003347695805132389, 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Africa is the most underrepresented. Across 30 language editions of Wikipedia, historical articles and sections are generally Eurocentric and focused on recent events.", "emb": [0.1259026676416397, -0.17046943306922913, -0.20399978756904602, 0.13843290507793427, -0.3683163821697235, -0.31511229276657104, 0.2203322947025299, -0.33716854453086853, 0.3150317966938019, 0.5057931542396545, -0.42513754963874817, -0.10541579872369766, -0.3255992829799652, -0.10284268856048584, -0.23636604845523834, 0.19121959805488586, 0.5534791946411133, -0.012221255339682102, 0.0008881132234819233, 0.06830015033483505, -0.6535893082618713, 0.5481370687484741, -0.002431190572679043, -0.47148728370666504, -0.18951416015625, -0.022033991292119026, -0.2353970855474472, 0.25062379240989685, 0.03745397552847862, 0.4115217924118042, 0.8000198602676392, -0.3085213303565979, -0.20474475622177124, 0.4828958809375763, -0.5551881790161133, 0.27664831280708313, -0.22969157993793488, 0.09669145196676254, 0.32782790064811707, 0.13167184591293335, 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Data has also shown that Africa-related material often faces omission; a knowledge gap that a July 2018 Wikimedia conference in Cape Town sought to address.", "emb": [0.05396592617034912, -0.04325124993920326, 0.052281737327575684, 0.35933494567871094, -0.14106646180152893, -0.5481481552124023, 0.08287042379379272, -0.29505252838134766, 0.2896409034729004, 0.5835647583007812, -0.3096000552177429, 0.0738723874092102, -0.17156580090522766, -0.013697132468223572, -0.15615472197532654, 0.5565488338470459, 0.41138648986816406, 0.38034868240356445, 0.44725704193115234, 0.4960479736328125, -0.597198486328125, 0.41466712951660156, 0.03376099467277527, -0.3306922912597656, 0.009969979524612427, 0.24669793248176575, -0.08989107608795166, -0.028905272483825684, 0.05614010989665985, 0.1159733235836029, 0.32611560821533203, -0.05779075622558594, -0.565424919128418, 0.3825562000274658, -0.6404106616973877, 0.30653858184814453, -0.25847530364990234, 0.20995420217514038, 0.4065370559692383, 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In 2011, Wales claimed that the unevenness of coverage is a reflection of the demography of the editors, citing for example \"biographies of famous women through history and issues surrounding early childcare\". The October 22, 2013, essay by Tom Simonite in MIT's \"Technology Review\" titled \"The Decline of Wikipedia\" discussed the effect of systemic bias and policy creep on the downward trend in the number of editors.", "emb": [-0.11630500853061676, 0.005669149104505777, 0.34747636318206787, 0.2671230435371399, -0.0999075323343277, -0.06048671156167984, -0.07994566112756729, -0.30245041847229004, -0.31838420033454895, 0.5925396680831909, -0.2774474620819092, 0.31289446353912354, -0.09241897612810135, 0.39594215154647827, -0.6163081526756287, 0.5027181506156921, 0.650360643863678, 0.004141759127378464, 0.3112274408340454, -0.09908565878868103, 0.2011551409959793, 0.6588175892829895, 0.09222706407308578, -0.20488694310188293, 0.24185481667518616, 0.44682157039642334, -0.22611327469348907, 0.3876539468765259, 0.31248438358306885, 0.020142478868365288, 0.6086795330047607, -0.24641354382038116, 0.23464204370975494, 0.4124634861946106, -0.43213316798210144, 0.4781256318092346, 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It may more specifically follow the biases of Internet culture, inclining to be young, male, English-speaking, educated, technologically aware, and wealthy enough to spare time for editing. Biases, intrinsically, may include an overemphasis on topics such as pop culture, technology, and current events.", "emb": [-0.03165291249752045, 0.33944353461265564, -0.3341591954231262, 0.3195635974407196, -0.15484441816806793, 0.19757571816444397, 0.27256256341934204, -0.4392959773540497, 0.08754539489746094, 0.35090410709381104, -0.38033440709114075, 0.02938901074230671, -0.19651412963867188, 0.3846961557865143, -0.3821200132369995, 0.06604686379432678, 0.7436808943748474, 0.3426938056945801, 0.15695291757583618, 0.04173341765999794, -0.19155137240886688, 0.33309629559516907, -0.15352898836135864, -0.65057373046875, -0.06527683883905411, 0.40646201372146606, -0.3650369942188263, 0.15472404658794403, 0.08019881695508957, 0.31195899844169617, 0.5208908915519714, -0.13867110013961792, 0.03861149400472641, 0.5216840505599976, -0.13559050858020782, 0.2983551025390625, 0.10187908262014389, 0.2425694614648819, 0.03378281742334366, -0.055316682904958725, 0.08980057388544083, 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His research examined the counterproductive work behavior of edit warring. Yasseri contended that simple reverts or \"undo\" operations were not the most significant measure of counterproductive behavior at Wikipedia and relied instead on the statistical measurement of detecting \"reverting/reverted pairs\" or \"mutually reverting edit pairs\". Such a \"mutually reverting edit pair\" is defined where one editor reverts the edit of another editor who then, in sequence, returns to revert the first editor in the \"mutually reverting edit pairs\". The results were tabulated for several language versions of Wikipedia. The English Wikipedia's three largest conflict rates belonged to the articles George W. Bush, anarchism, and Muhammad. By comparison, for the German Wikipedia, the three largest conflict rates at the time of the Oxford study were for the articles covering Croatia, Scientology, and 9/11 conspiracy theories.", "emb": [-0.011477465741336346, 0.022493992000818253, 0.3607144057750702, 0.23041829466819763, 0.18953052163124084, -0.14053936302661896, 0.08896878361701965, -0.3622058629989624, -0.1379823535680771, 0.6635038256645203, -0.6314951181411743, -0.1972171664237976, -0.6053838729858398, -0.17150455713272095, -0.20755216479301453, 0.1551782786846161, 0.758651614189148, 0.03542527183890343, 0.21636322140693665, -0.1564929485321045, -0.22596803307533264, 0.5563101768493652, -0.13807596266269684, -0.46757927536964417, -0.008214830420911312, 0.20877783000469208, -0.42402201890945435, 0.1492387354373932, 0.025354351848363876, 0.1506754606962204, 0.30857405066490173, -0.1738220453262329, 0.1651787906885147, 0.36274224519729614, -0.5224772095680237, 0.2693958580493927, -0.04159388318657875, 0.34820300340652466, 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The original release cover caused controversy and was replaced in some countries. In December 2008, access to the Wikipedia article \"Virgin Killer\" was blocked for four days by most Internet service providers in the United Kingdom after the Internet Watch Foundation (IWF) decided the album cover was a potentially illegal indecent image and added the article's URL to a \"blacklist\" it supplies to British internet service providers.", "emb": [-0.028347257524728775, 0.12791228294372559, -0.13165949285030365, -0.43901485204696655, -0.3198924660682678, -0.458200603723526, 0.393861323595047, -0.37653374671936035, -0.06667938828468323, 0.14703425765037537, -0.7493714094161987, -0.7629210352897644, -0.16850943863391876, 0.06295638531446457, -0.12155371904373169, -0.5116919875144958, 0.700619637966156, -0.13565662503242493, 0.5415952205657959, -0.37381768226623535, -0.6730560064315796, 0.5902395248413086, -0.27493539452552795, -0.6957120299339294, 0.07597436010837555, 0.6033499836921692, -0.4381946325302124, -0.021803205832839012, -0.04012683033943176, 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Sanger later clarified that the images, which were related to pedophilia and one about lolicon, were not of real children, but said that they constituted \"obscene visual representations of the sexual abuse of children\", under the PROTECT Act of 2003. That law bans photographic child pornography and cartoon images and drawings of children that are obscene under American law. Sanger also expressed concerns about access to the images on Wikipedia in schools. Wikimedia Foundation spokesman Jay Walsh strongly rejected Sanger's accusation, saying that Wikipedia did not have \"material we would deem to be illegal. If we did, we would remove it.\" Following the complaint by Sanger, Wales deleted sexual images without consulting the community. After some editors who volunteered to maintain the site argued that the decision to delete had been made hastily, Wales voluntarily gave up some of the powers he had held up to that time as part of his co-founder status. He wrote in a message to the Wikimedia Foundation mailing-list that this action was \"in the interest of encouraging this discussion to be about real philosophical/content issues, rather than be about me and how quickly I acted\". Critics, including Wikipediocracy, noticed that many of the pornographic images deleted from Wikipedia since 2010 have reappeared.", "emb": [0.1868431270122528, 0.25578728318214417, -0.5577298998832703, -0.1614125519990921, -0.074304960668087, 0.10017828643321991, 0.6864569187164307, -0.3323502540588379, -0.3187122941017151, 0.6968750953674316, -0.3834300935268402, -0.3169771134853363, 0.04878082871437073, 0.04182153195142746, 0.010130353271961212, -0.11416363716125488, 0.4588899612426758, 0.18017655611038208, 0.7088862061500549, -0.40859878063201904, -0.041806161403656006, 1.0260906219482422, -0.32386139035224915, 0.16109946370124817, -0.08319757878780365, 0.5357893109321594, -0.8046307563781738, 0.0716576874256134, 0.02193683758378029, -0.040522485971450806, 0.7876731157302856, -0.6174583435058594, 0.05765807628631592, 0.21003831923007965, -0.24609923362731934, 0.27306726574897766, 0.17954635620117188, 1.305807113647461, 0.2825968861579895, 0.3303431272506714, 0.31569185853004456, 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It is a battle between the right to be anonymous in cyberspace and the right to be anonymous in real life (\"meatspace\"). A particular problem occurs in the case of a relatively unimportant individual and for whom there exists a Wikipedia page against her or his wishes.", "emb": [-0.09318721294403076, -0.20360904932022095, 0.09035756438970566, 0.18210537731647491, 0.10952015966176987, -0.2832377851009369, 0.41953420639038086, -0.4342041015625, -0.02825196646153927, 0.4263407289981842, -0.17741739749908447, -0.2704950273036957, -0.26065871119499207, -0.30472978949546814, 0.027676211670041084, -0.15799906849861145, 0.9426116943359375, -0.04884247109293938, -0.06588508933782578, 0.19593922793865204, -0.06776278465986252, 0.6876932978630066, -0.12010794132947922, 0.08419307321310043, -0.21599705517292023, 0.14105653762817383, -0.13219201564788818, 0.022824665531516075, 0.20387625694274902, -0.05394244194030762, 0.7000834345817566, -0.2364002913236618, 0.18357276916503906, 0.5258786678314209, 0.08726978302001953, 0.1392487734556198, 0.21283435821533203, 0.37422433495521545, -0.13189053535461426, 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Bear of Stony Brook University's College of Business and Benjamin Collier of Carnegie Mellon University found significant gender differences in: confidence in expertise, discomfort with editing, and response to critical feedback. \"Women reported less confidence in their expertise, expressed greater discomfort with editing (which typically involves conflict), and reported more negative responses to critical feedback compared to men.\"", "emb": [-0.18418492376804352, 0.15573753416538239, 0.16844671964645386, 0.24101810157299042, -0.587908148765564, -0.09800733625888824, 0.34603530168533325, -0.38657844066619873, -0.1088966503739357, 0.40797582268714905, -0.4385795295238495, -0.2400216907262802, -0.4512525498867035, -0.07662574201822281, -0.5844698548316956, -0.367671936750412, 0.47107774019241333, 0.3904355764389038, 0.2108498066663742, 0.0997733399271965, -0.27869459986686707, 0.20432229340076447, 0.1518724113702774, -0.1532660573720932, -0.13377392292022705, 0.43128281831741333, 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The foundation relies on public contributions and grants to fund its mission. The foundation's 2013 IRS Form 990 shows revenue of $39.7\u00a0million and expenses of almost $29\u00a0million, with assets of $37.2\u00a0million and liabilities of about $2.3\u00a0million.", "emb": [0.20943373441696167, 0.2518347501754761, -0.0008388583664782345, -0.05135861784219742, -0.21088114380836487, 0.2364226132631302, 0.648356556892395, -0.43308353424072266, 0.10278572887182236, 0.2531631886959076, -0.22839175164699554, 0.06316378712654114, -0.7338593006134033, -0.4226725697517395, -0.21783952414989471, 0.3784063160419464, 0.6671211123466492, -0.07027050852775574, 0.039611078798770905, 0.15514372289180756, -0.23071494698524475, 0.5037238597869873, -0.09502235054969788, -0.12610548734664917, -0.14721627533435822, 0.24374467134475708, -0.15423455834388733, 0.08816029131412506, -0.15107358992099762, 0.16341042518615723, 0.3216324746608734, -0.1801793873310089, -0.12663181126117706, 0.3600432276725769, -0.5188140869140625, 0.35634997487068176, -0.04504194110631943, 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The \"Wall Street Journal\" reported on May 1, 2014, that Tretikov's information technology background from her years at University of California offers Wikipedia an opportunity to develop in more concentrated directions guided by her often repeated position statement that, \"Information, like air, wants to be free.\" The same \"Wall Street Journal\" article reported these directions of development according to an interview with spokesman Jay Walsh of Wikimedia, who \"said Tretikov would address that issue (paid advocacy) as a priority. 'We are really pushing toward more transparency... We are reinforcing that paid advocacy is not welcome.' Initiatives to involve greater diversity of contributors, better mobile support of Wikipedia, new geo-location tools to find local content more easily, and more tools for users in the second and third world are also priorities\", Walsh said.", "emb": [0.2539881765842438, 0.1721411645412445, -0.03907918557524681, -0.10086829215288162, -0.16096912324428558, -0.10126770287752151, 0.27475085854530334, -0.3683290481567383, 0.1999516785144806, 0.6530030369758606, -0.49253135919570923, -0.19387483596801758, -0.417032927274704, 0.164728045463562, -0.23674827814102173, 0.03564176708459854, 1.0543032884597778, 0.26261523365974426, -0.1399286538362503, -0.7195716500282288, -0.28313958644866943, 0.513172447681427, -0.07111582159996033, -0.17986968159675598, 0.015779489651322365, 0.006893424317240715, -0.19343797862529755, 0.11390350759029388, 0.08067943155765533, 0.20188608765602112, 0.3015262484550476, -0.36812108755111694, -0.201498344540596, 0.45169249176979065, -0.9025352001190186, 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Maher stated that one of her priorities would be the issue of editor harassment endemic to Wikipedia as identified by the Wikipedia board in December. Maher stated regarding the harassment issue that: \"It establishes a sense within the community that this is a priority... 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Maryana Iskander was named the incoming CEO in September 2021, and took over that role in January 2022.", "emb": [0.26049715280532837, -0.04089641571044922, 0.04199078679084778, 0.14705871045589447, -0.036689139902591705, -0.06215650960803032, 0.3052327632904053, -0.2336028665304184, 0.34684842824935913, 0.43241703510284424, -0.3732187747955322, -0.01706325262784958, -0.017874661833047867, 0.21505288779735565, -0.24406343698501587, 0.3055357038974762, 0.519782543182373, 0.03268881514668465, -0.05048280581831932, -0.23249591886997223, -0.23440013825893402, 0.48302504420280457, 0.22833026945590973, 0.3337007462978363, 0.06450136750936508, -0.23576714098453522, -0.3411811292171478, 0.4033777713775635, 0.26468971371650696, 0.47675636410713196, -0.08560062944889069, -0.28118088841438293, -0.3682197034358978, 0.1895904541015625, -0.7196080684661865, 0.6797593235969543, 0.06187882274389267, 0.34548836946487427, 0.43373265862464905, -0.05659627914428711, -0.24110256135463715, 0.25848388671875, 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These include Wikimedia chapters (which are national or sub-national organizations, such as Wikimedia Deutschland and Wikim\u00e9dia France), thematic organizations (such as Amical Wikimedia for the Catalan language community), and user groups. 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The software incorporates programming features such as a macro language, variables, a transclusion system for templates, and URL redirection. MediaWiki is licensed under the GNU General Public License (GPL) and it is used by all Wikimedia projects, as well as many other wiki projects. Originally, Wikipedia ran on UseModWiki written in Perl by Clifford Adams (Phase I), which initially required CamelCase for article hyperlinks; the present double bracket style was incorporated later. Starting in January 2002 (Phase II), Wikipedia began running on a PHP wiki engine with a MySQL database; this software was custom-made for Wikipedia by Magnus Manske. The Phase II software was repeatedly modified to accommodate the exponentially increasing demand. In July 2002 (Phase III), Wikipedia shifted to the third-generation software, MediaWiki, originally written by Lee Daniel Crocker.", "emb": [-0.07792530208826065, 0.6296066641807556, 0.05511742830276489, 0.11356581747531891, -0.16703557968139648, -0.1215040311217308, 0.5855975151062012, -0.44308146834373474, -0.21667258441448212, 0.15179887413978577, -0.37044912576675415, 0.12954996526241302, -0.1466168612241745, -0.30139800906181335, 0.06574714928865433, 0.5234543681144714, 0.5057595372200012, 0.11766951531171799, 0.2388288676738739, -0.3363490402698517, 0.07182013243436813, 0.5414280295372009, -0.11903109401464462, -0.24991938471794128, -0.2782849967479706, 0.6462153196334839, -0.22813786566257477, 0.1271325647830963, 0.0756276398897171, 0.019958751276135445, 0.3843272626399994, -0.04158516600728035, 0.16556763648986816, 0.30855444073677063, -0.7210140824317932, 0.3143553137779236, 0.5398079752922058, 0.128610298037529, -0.2756457030773163, 0.4012158215045929, 0.12497057765722275, 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It was met with much rejection and criticism, and was described as \"slow and buggy\". The feature was changed from opt-out to opt-in afterward.", "emb": [-0.0111982561647892, 0.2644542157649994, 0.3355411887168884, 0.02654467336833477, -0.0027511913795024157, -0.004636724945157766, 0.5801103115081787, -0.3809356689453125, 0.034426502883434296, 0.27866873145103455, -0.24836604297161102, 0.08302165567874908, -0.11201323568820953, -0.10466834902763367, -0.07461868226528168, -0.36253294348716736, 0.4458889365196228, -0.16026867926120758, 0.2224712371826172, 0.1613127589225769, 0.2785555422306061, 0.48533713817596436, -0.01783020608127117, -0.3035486042499542, -0.19937260448932648, 0.2730986177921295, -0.038330622017383575, 0.3454492390155792, 0.10524347424507141, -0.012380031868815422, 0.5222312211990356, -0.3472713828086853, -0.07695849984884262, 0.5060598850250244, -0.5635138750076294, 0.4831136167049408, 0.06314018368721008, 0.8757731318473816, -0.19854487478733063, 0.24957159161567688, 0.05880830064415932, -0.08935356140136719, 0.3396860659122467, 0.2121988981962204, 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One controversial contributor, , creating articles with his bot was reported to create up to 10,000 articles on the Swedish Wikipedia on certain days. Additionally, there are bots designed to automatically notify editors when they make common editing errors (such as unmatched quotes or unmatched parentheses). Edits falsely identified by bots as the work of a banned editor can be restored by other editors. An anti-vandal bot is programmed to detect and revert vandalism quickly. Bots are able to indicate edits from particular accounts or IP address ranges, as occurred at the time of the shooting down of the MH17 jet incident in July 2014 when it was reported that edits were made via IPs controlled by the Russian government. Bots on Wikipedia must be approved before activation.", "emb": [0.023986879736185074, 0.22853490710258484, 0.21126314997673035, 0.5836726427078247, -0.4278067350387573, 0.08108927309513092, 0.1521141231060028, -0.4405592083930969, -0.03418773040175438, 0.5350550413131714, -0.18269358575344086, 0.03417549282312393, -0.2595174014568329, -0.019610103219747543, -0.1135135367512703, 0.23144567012786865, 0.5410239696502686, 0.27719342708587646, -0.31939011812210083, 0.057384639978408813, -0.014966703951358795, 0.45753026008605957, -0.16856031119823456, -0.309786319732666, 0.1728953719139099, 0.4043269157409668, -0.022363603115081787, 0.3371902108192444, -0.007254684343934059, -0.05760243907570839, 0.2997787892818451, -0.30791112780570984, -0.33693623542785645, 0.35038548707962036, -0.6905789375305176, 0.3126639127731323, -0.10915113985538483, 0.15614140033721924, -0.49371716380119324, 0.1596829742193222, -0.038740936666727066, 0.37968868017196655, 0.22256618738174438, -0.09542500227689743, 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a front-end layer of Varnish caching servers and back-end layer caching is done by Apache Traffic Server. Further statistics, based on a publicly available 3-month Wikipedia access trace, are available. Requests that cannot be served from the Varnish cache are sent to load-balancing servers running the Linux Virtual Server software, which in turn pass them to one of the Apache web servers for page rendering from the database. The web servers deliver pages as requested, performing page rendering for all the language editions of Wikipedia. To increase speed further, rendered pages are cached in a distributed memory cache until invalidated, allowing page rendering to be skipped entirely for most common page accesses.", "emb": [0.217148557305336, 0.14643675088882446, 0.18590454757213593, -0.034370068460702896, 0.19626590609550476, 0.18034197390079498, 0.01297013834118843, -0.469086229801178, 0.2940928041934967, 0.3599955141544342, -0.20596197247505188, -0.07139356434345245, -0.4052727222442627, 0.10845606029033661, 0.17212852835655212, -0.03255848586559296, 0.6005688309669495, 0.1462274044752121, -0.13090874254703522, 0.11332821846008301, -0.048811595886945724, 0.5781435370445251, -0.1516113132238388, -0.026746805757284164, 0.00698495889082551, 0.18710185587406158, -0.21530796587467194, 0.1634431779384613, 0.14967681467533112, 0.2923114597797394, 0.7443833351135254, -0.2020629495382309, 0.05230133980512619, 0.5565564632415771, -0.44566014409065247, 0.5750811100006104, -0.14910048246383667, 0.4629550576210022, 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By January 22, 2013, Wikipedia had migrated its primary data center to an Equinix facility in Ashburn, Virginia. In 2017, Wikipedia installed a caching cluster in an Equinix facility in Singapore, the first of its kind in Asia.", "emb": [0.35072192549705505, 0.027660369873046875, -0.18864266574382782, -0.010405178181827068, -0.5332453846931458, -0.08447085320949554, 0.39937707781791687, -0.2930811643600464, 0.11404833942651749, 0.18925340473651886, -0.1366078108549118, -0.19621795415878296, -0.2892454266548157, -0.2757563591003418, 0.15142424404621124, 0.3240396976470947, 0.47981977462768555, 0.47714948654174805, -0.19663915038108826, -0.1748879849910736, -0.4516848921775818, 0.4455561637878418, -0.2411336749792099, -0.414186030626297, 0.24143749475479126, -0.02675161510705948, -0.3078802525997162, 0.13754746317863464, 0.07406818866729736, 0.19196078181266785, 0.6225709319114685, -0.014922166243195534, 0.1690855324268341, 0.4999634027481079, -0.5515119433403015, 0.40404844284057617, -0.19000311195850372, 0.509348452091217, -0.001736556412652135, 0.38754457235336304, -0.14587274193763733, 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Two of the recent projects of such internal research and development have been the creation of a Visual Editor and a largely under-utilized \"Thank\" tab which were developed to ameliorate issues of editor attrition, which have met with limited success. The estimates for reinvestment by industrial organizations into internal research and development was studied by Adam Jaffe, who recorded that the range of 4% to 25% annually was to be recommended, with high-end technology requiring the higher level of support for internal reinvestment. At the 2013 level of contributions for Wikimedia presently documented as 45\u00a0million dollars, the computed budget level recommended by Jaffe and Caballero for reinvestment into internal research and development is between 1.8\u00a0million and 11.3\u00a0million dollars annually. In 2016, the level of contributions were reported by\" Bloomberg News\" as being at $77\u00a0million annually, updating the Jaffe estimates for the higher level of support to between $3.08\u00a0million and $19.2\u00a0million annually.", "emb": [0.4851517677307129, -0.06499027460813522, 0.009868714958429337, 0.07089260965585709, -0.559375524520874, -0.010355323553085327, 0.5293267965316772, -0.3060374855995178, 0.2021072804927826, 0.854863166809082, -0.690629243850708, 0.007567733526229858, -0.3794902563095093, -0.07836517691612244, -0.09725092351436615, -0.0435304269194603, 0.6449427604675293, 0.35917410254478455, -0.24155902862548828, -0.2381148338317871, -0.08130796253681183, 0.3331412076950073, 0.04438421130180359, 0.16116195917129517, 0.34108927845954895, 0.27725452184677124, -0.6030364036560059, 0.5056192874908447, -0.2687477171421051, -0.04763729125261307, 0.5216085314750671, -0.5027520656585693, -0.39146843552589417, -0.02544160559773445, -0.9148321151733398, 0.4939994812011719, 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It covers news and events from the site, as well as major events from other Wikimedia projects, such as Wikimedia Commons. Similar publications are the German-language \"Kurier\", and the Portuguese-language \"Correio da Wikip\u00e9dia\". Other past and present community news publications on English Wikipedia include the \"Wikiworld\" webcomic, the Wikipedia Weekly podcast, and newsletters of specific WikiProjects like \"The Bugle\" from WikiProject Military History and the monthly newsletter from The Guild of Copy Editors. 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The GFDL was created for software manuals that come with free software programs licensed under the GPL. This made it a poor choice for a general reference work: for example, the GFDL requires the reprints of materials from Wikipedia to come with a full copy of the GFDL text. In December 2002, the Creative Commons license was released: it was specifically designed for creative works in general, not just for software manuals. The license gained popularity among bloggers and others distributing creative works on the Web. The Wikipedia project sought the switch to the Creative Commons. Because the two licenses, GFDL and Creative Commons, were incompatible, in November 2008, following the request of the project, the Free Software Foundation (FSF) released a new version of the GFDL designed specifically to allow Wikipedia to by August 1, 2009. (A new version of the GFDL automatically covers Wikipedia contents.) In April 2009, Wikipedia and its sister projects held a community-wide referendum which decided the switch in June 2009.", "emb": [0.07771716266870499, 0.6265137195587158, 0.043154217302799225, 0.13362076878547668, -0.036406245082616806, -0.04735982418060303, 0.6280622482299805, -0.38999080657958984, -0.03951578959822655, 0.2055298089981079, -0.0964941531419754, -0.1253846287727356, -0.30505064129829407, 0.11972568184137344, 0.05972357839345932, -0.026359621435403824, 0.5484828948974609, -0.10343877971172333, 0.2878560423851013, -0.28187763690948486, 0.033015429973602295, 0.3442283868789673, -0.3596513271331787, -0.29797080159187317, -0.2413613498210907, 0.3419049382209778, -0.23346012830734253, 0.026886940002441406, -0.00649416446685791, -0.07291851192712784, 0.7938880920410156, -0.23492273688316345, -0.17663612961769104, 0.44427788257598877, -0.44950252771377563, 0.39379310607910156, 0.17157377302646637, 0.32134321331977844, -0.23044194281101227, 0.2098677158355713, 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Some language editions, such as the English Wikipedia, include non-free image files under fair use doctrine, while the others have opted not to, in part because of the lack of fair use doctrines in their home countries (e.g. in Japanese copyright law). Media files covered by free content licenses (e.g. Creative Commons' CC BY-SA) are shared across language editions via Wikimedia Commons repository, a project operated by the Wikimedia Foundation. Wikipedia's accommodation of varying international copyright laws regarding images has led some to observe that its photographic coverage of topics lags behind the quality of the encyclopedic text.", "emb": [-0.16369785368442535, 0.2879525125026703, -0.3215518295764923, -0.3589719235897064, -0.17577069997787476, -0.07820870727300644, 0.5386160016059875, -0.3973257541656494, -0.18688006699085236, 0.5074618458747864, -0.33414217829704285, 0.09173022955656052, -0.10319676995277405, 0.38230815529823303, -0.039492517709732056, 0.2136605829000473, 0.4113753139972687, -0.03840498998761177, 0.3670133054256439, -0.3587580919265747, -0.36162468791007996, 0.4942905604839325, -0.38458573818206787, -0.2950042188167572, -0.25885820388793945, 0.5452053546905518, -0.18948781490325928, 0.20728929340839386, -0.22908915579319, -0.04716407135128975, 0.5440499782562256, -0.15065962076187134, -0.22342339158058167, 0.5249930620193481, -0.37613779306411743, 0.17899557948112488, -0.1346978396177292, 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Although Wikipedia content has been accessible through the mobile web since July 2013, \"The New York Times\" on February 9, 2014, quoted Erik M\u00f6ller, deputy director of the Wikimedia Foundation, stating that the transition of internet traffic from desktops to mobile devices was significant and a cause for concern and worry. The article in \"The New York Times\" reported the comparison statistics for mobile edits stating that, \"Only 20 percent of the readership of the English-language Wikipedia comes via mobile devices, a figure substantially lower than the percentage of mobile traffic for other media sites, many of which approach 50 percent. And the shift to mobile editing has lagged even more.\" \"The New York Times\" reports that M\u00f6ller has assigned \"a team of 10 software developers focused on mobile\", out of a total of approximately 200 employees working at the Wikimedia Foundation. One principal concern cited by \"The New York Times\" for the \"worry\" is for Wikipedia to effectively address attrition issues with the number of editors which the online encyclopedia attracts to edit and maintain its content in a mobile access environment.", "emb": [0.13025790452957153, 0.06777887046337128, -0.0019545555114746094, 0.16958759725093842, -0.20721176266670227, -0.15085823833942413, 0.3801085352897644, -0.38311949372291565, 0.03319130092859268, 0.3777197003364563, -0.5471739172935486, 0.04877239093184471, -0.3866684138774872, -0.46752727031707764, 0.20112933218479156, 0.118558868765831, 0.41978946328163147, 0.42881321907043457, -0.18080243468284607, -0.3573698103427887, 0.022473908960819244, 0.6788713932037354, -0.2580188810825348, -0.21909789741039276, -0.12493563443422318, 0.13238953053951263, -0.36761265993118286, 0.16009573638439178, 0.11584864556789398, -0.13935522735118866, 0.3482855260372162, -0.47345757484436035, -0.33966290950775146, 0.18344715237617493, 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At the time of the Tretikov appointment and her posted web interview with Sue Gardner in May 2014, Wikimedia representatives made a technical announcement concerning the number of mobile access systems in the market seeking access to Wikipedia. Directly after the posted web interview, the representatives stated that Wikimedia would be applying an all-inclusive approach to accommodate as many mobile access systems as possible in its efforts for expanding general mobile access, including BlackBerry and the Windows Phone system, making market share a secondary issue. The Android app for Wikipedia was released on July 23, 2014, to generally positive reviews, scoring over four of a possible five in a poll of approximately 200,000 users downloading from Google. The version for iOS was released on April 3, 2013, to similar reviews. Later versions have also been released.", "emb": [-0.16551561653614044, 0.2610194981098175, -0.1838596910238266, 0.12275682389736176, -0.10156702995300293, 0.1638297140598297, 0.6131392121315002, -0.3904951512813568, 0.16160283982753754, 0.24757561087608337, -0.3805163502693176, -0.4201696217060089, -0.2585297226905823, -0.26705318689346313, -0.1929434835910797, 0.3152877986431122, 0.319549560546875, 0.09222270548343658, -0.03383760154247284, -0.4625771939754486, -0.05854304879903793, 1.0300315618515015, 0.154586061835289, -0.5766764879226685, -0.3310839831829071, -0.3653810918331146, -0.4203181564807892, 0.011939541436731815, 0.21087664365768433, 0.18044519424438477, 0.34756577014923096, -0.9726840257644653, -0.06356547772884369, 0.4641294777393341, -0.3436889946460724, 0.23699221014976501, 0.5270903706550598, 0.486947625875473, -0.07261662930250168, -0.12638764083385468, 0.22671468555927277, -0.10231558978557587, 0.4519456624984741, 0.03990698605775833, 0.2933586537837982, 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In June 2007 Wikipedia launched en.mobile.wikipedia.org, an official website for wireless devices. In 2009 a newer mobile service was officially released, located at en.m.wikipedia.org, which caters to more advanced mobile devices such as the iPhone, Android-based devices or WebOS-based devices. Several other methods of mobile access to Wikipedia have emerged. Many devices and applications optimize or enhance the display of Wikipedia content for mobile devices, while some also incorporate additional features such as use of Wikipedia metadata, such as geoinformation.", "emb": [-0.03925586864352226, 0.22957094013690948, -0.03383878991007805, -0.17237067222595215, -0.522503137588501, -0.28580406308174133, 0.40789297223091125, -0.5366315841674805, 0.17749659717082977, 0.10788039118051529, -0.32571467757225037, 0.22746914625167847, -0.38995394110679626, -0.6000106930732727, -0.1597268283367157, 0.190238356590271, 0.25410664081573486, 0.10498098284006119, -0.06491899490356445, -0.14926250278949738, 0.06057022139430046, 0.5641671419143677, -0.27016180753707886, -0.48138895630836487, 0.17069914937019348, 0.06624948233366013, -0.040125321596860886, 0.1105564534664154, 0.17141230404376984, 0.22905823588371277, 0.15474186837673187, -0.30942296981811523, -0.1098368912935257, 0.22974546253681183, -0.10267996042966843, 0.5708582997322083, 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The number of Wikipedia editors has been declining after several years and Tom Simonite of \"MIT Technology Review\" claims the bureaucratic structure and rules are a factor in this. Simonite alleges some Wikipedians use the labyrinthine rules and guidelines to dominate others and those editors have a vested interest in keeping the status quo. Lih alleges there is a serious disagreement among existing contributors on how to resolve this. Lih fears for Wikipedia's long-term future while Brown fears problems with Wikipedia will remain and rival encyclopedias will not replace it.", "emb": [-0.39244401454925537, -0.047102347016334534, 0.7295494079589844, 0.07153081893920898, -0.23040567338466644, -0.04753217473626137, 0.47366756200790405, -0.3667736053466797, -0.22467491030693054, 0.47481727600097656, -0.9498244524002075, -0.18785545229911804, -0.23914888501167297, -0.026684416458010674, -0.3449198305606842, 0.381551593542099, 0.7227020263671875, 0.41549670696258545, -0.32516711950302124, 0.053785208612680435, 0.11940504610538483, 0.7393934726715088, -0.11919167637825012, -0.1594034880399704, -0.023203590884804726, -0.08910150080919266, -0.4710548222064972, 0.39928942918777466, 0.5825502872467041, -0.00513725820928812, 0.6909035444259644, -0.3812827467918396, -0.5299782156944275, 0.37088441848754883, -0.6904011368751526, 0.40686607360839844, -0.18468311429023743, 0.31603530049324036, -0.5087191462516785, 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Noam Cohen, writing in \"The Washington Post\" states, \"YouTube's reliance on Wikipedia to set the record straight builds on the thinking of another fact-challenged platform, the Facebook social network, which announced last year that Wikipedia would help its users root out 'fake news'.\" Alexa records the daily pageviews per visitor as 3.03 and the average daily time on site as 3:46 minutes.", "emb": [-0.15681207180023193, -0.3384909927845001, -0.15904207527637482, 0.5049685835838318, 0.09315162152051926, -0.4018278121948242, -0.18493041396141052, -0.3525373041629791, -0.03218663111329079, 0.7300964593887329, -0.5403700470924377, -0.09256769716739655, -0.24657270312309265, -0.5693046450614929, -0.1940956711769104, 0.3159997761249542, 0.4757216274738312, 0.1623001992702484, -0.3263019025325775, -0.09940097481012344, -0.24041874706745148, 0.2967480719089508, -0.4581148326396942, -0.5855029821395874, -0.15716606378555298, 0.032996974885463715, -0.6116812229156494, 0.039391666650772095, 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The number of readers of Wikipedia worldwide reached 365\u00a0million at the end of 2009. The Pew Internet and American Life project found that one third of US Internet users consulted Wikipedia. In 2011 \"Business Insider\" gave Wikipedia a valuation of $4\u00a0billion if it ran advertisements.", "emb": [0.3011569380760193, 0.025571199133992195, 0.06603385508060455, 0.1680334061384201, -0.027279097586870193, 0.10746865719556808, 0.2117043435573578, -0.4102713167667389, 0.0667063370347023, 0.5803840160369873, -0.4616050720214844, -0.18484701216220856, -0.3365600109100342, -0.7747002840042114, 0.1550712138414383, 0.06957819312810898, 0.4901473820209503, 0.2695459723472595, -0.19251348078250885, -0.24504107236862183, 0.04114866629242897, 0.8072916865348816, -0.26273179054260254, -0.2994179427623749, -0.08213328570127487, 0.067985899746418, -0.39304694533348083, 0.014154105447232723, 0.2992086410522461, 0.42214685678482056, 0.4904767572879791, -0.1509092003107071, -0.26911839842796326, 0.42630425095558167, -0.4836253821849823, 0.27337366342544556, 0.22711527347564697, 0.617715060710907, 0.20570364594459534, -0.10492364317178726, 0.1039215624332428, 0.2006143182516098, 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Almost half of Wikipedia readers visit the site more than five times a month, and a similar number of readers specifically look for Wikipedia in search engine results. 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The Parliament of Canada's website refers to Wikipedia's article on same-sex marriage in the \"related links\" section of its \"further reading\" list for the \"Civil Marriage Act\". The encyclopedia's assertions are increasingly used as a source by organizations such as the US federal courts and the World Intellectual Property Organization\u2014though mainly for \"supporting information\" rather than information decisive to a case. Content appearing on Wikipedia has also been cited as a source and referenced in some US intelligence agency reports. In December 2008, the scientific journal \"RNA Biology\" launched a new section for descriptions of families of RNA molecules and requires authors who contribute to the section to also submit a draft article on the RNA family for publication in Wikipedia.", "emb": [-0.12497081607580185, 0.5077095627784729, -0.240562304854393, -0.0269343089312315, -0.5866788029670715, 0.06172998249530792, 0.5911611318588257, -0.2797102630138397, 0.02811448462307453, 0.24534620344638824, -0.22460924088954926, -0.054527491331100464, -0.45632582902908325, 0.21321582794189453, -0.5047226548194885, -0.1460026055574417, 0.6225225925445557, -0.02500844933092594, -0.1924271285533905, -0.03651238605380058, -0.7545554041862488, 0.23747165501117706, 0.5819841623306274, -0.05410552769899368, -0.007989361882209778, -0.005953758489340544, 0.03791090101003647, 0.3737056851387024, -0.13231971859931946, -0.1557147353887558, 0.5610842108726501, 0.18949374556541443, -0.28707870841026306, 0.44501808285713196, 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Italian politician Franco Grillini raised a parliamentary question with the minister of cultural resources and activities about the necessity of freedom of panorama. 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Already, the presidential entries are being edited, dissected and debated countless times each day.\" An October 2007 Reuters article, titled \"Wikipedia page the latest status symbol\", reported the recent phenomenon of how having a Wikipedia article vindicates one's notability.", "emb": [-0.2785506546497345, -0.22559292614459991, 0.6416290402412415, 0.13731715083122253, 0.0702604427933693, -0.54644775390625, 0.3325820565223694, -0.351436585187912, 0.19157955050468445, 0.3559722304344177, -0.34522074460983276, 0.17555533349514008, -0.6931620240211487, 0.0952841117978096, -0.2080802023410797, 0.09296195209026337, 0.5945678949356079, -0.3709380328655243, -0.09930369257926941, 0.30044853687286377, -0.29603222012519836, 0.4571534991264343, -0.03066018410027027, -0.3635978698730469, -0.31372565031051636, 0.2844541668891907, -0.5834391117095947, -0.102842777967453, 0.5407918095588684, 0.06609471142292023, 0.5480595827102661, -0.23937848210334778, -0.2698034346103668, 0.41161903738975525, 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-0.25065159797668457]}, {"text": "In a 2017 opinion piece for \"Wired\", Hossein Derakhshan describes Wikipedia as \"one of the last remaining pillars of the open and decentralized web\" and contrasted its existence as a text-based source of knowledge with social media and social networking services, the latter having \"since colonized the web for television's values\". For Derakhshan, Wikipedia's goal as an encyclopedia represents the Age of Enlightenment tradition of rationality triumphing over emotions, a trend which he considers \"endangered\" due to the \"gradual shift from a typographic culture to a photographic one, which in turn mean[s] a shift from rationality to emotions, exposition to entertainment\". Rather than \"\" (), social networks have led to a culture of \"dare not to care to know\". This is while Wikipedia faces \"a more concerning problem\" than funding, namely \"a flattening growth rate in the number of contributors to the website\". Consequently, the challenge for Wikipedia and those who use it is to \"save Wikipedia and its promise of a free and open collection of all human knowledge amid the conquest of new and old television\u2014how to collect and preserve knowledge when nobody cares to know.\"", "emb": [-0.09712891280651093, -0.1344223916530609, -0.05027368292212486, 0.27198362350463867, 0.20263952016830444, -0.1468750536441803, 0.05535810440778732, -0.39095166325569153, -0.015355938114225864, 0.23986271023750305, -0.49923160672187805, -0.13789916038513184, -0.14043334126472473, -0.5803478956222534, 0.091324582695961, -0.0025405585765838623, 0.5978409051895142, 0.22124041616916656, -0.11190152168273926, -0.08036604523658752, -0.22068040072917938, 0.6784605979919434, -0.4172578454017639, -0.6379797458648682, -0.1733418107032776, 0.2759483754634857, -0.4198002219200134, 0.007052026689052582, 0.07398217171430588, 0.031854234635829926, 0.2377679944038391, -0.2860771715641022, -0.12964896857738495, 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The first was a Golden Nica for Digital Communities of the annual Prix Ars Electronica contest; this came with a \u20ac10,000 (\u00a36,588; $12,700) grant and an invitation to present at the PAE Cyberarts Festival in Austria later that year. The second was a Judges' Webby Award for the \"community\" category.", "emb": [0.3232885003089905, 0.17535170912742615, 0.20306041836738586, 0.05942590907216072, -0.41788190603256226, 0.16380992531776428, 0.8108985424041748, -0.395965576171875, 0.3882754147052765, 0.4486578106880188, -0.5164119005203247, -0.013925166800618172, -0.820156991481781, -0.14845310151576996, -0.3535449504852295, 0.12451171875, 0.532839834690094, 0.3310526907444, 0.13241763412952423, 0.1538129448890686, -0.30260103940963745, 0.6755516529083252, -0.09339369088411331, 0.3511155843734741, -0.1246773824095726, 0.2197764664888382, -0.1719244122505188, 0.19010335206985474, -0.10595031082630157, 0.0851731076836586, 0.6775032877922058, -0.07800769805908203, 0.274565190076828, 0.6748787760734558, -0.12411340326070786, 0.4230230450630188, -0.2888067364692688, 0.46186327934265137, -0.21223865449428558, -0.19985471665859222, 0.01880750246345997, 0.16921164095401764, 0.40336355566978455, -0.04093156382441521, 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H\u00f6fling, and Peter Gabriel. 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Speaking at the Asturian Parliament in Oviedo, the city that hosts the awards ceremony, Jimmy Wales praised the work of the Asturian language Wikipedia users.", "emb": [0.28623881936073303, 0.1400950849056244, 0.1141955628991127, 0.0909147709608078, -0.31930965185165405, 0.2982483506202698, 0.6498468518257141, -0.34761878848075867, 0.3872796297073364, 0.2382747232913971, -0.20924004912376404, -0.20451140403747559, -0.7248442769050598, -0.2123873233795166, -0.4689784049987793, 0.11094202846288681, 0.6449825167655945, 0.11160995066165924, 0.17364686727523804, 0.1457224190235138, 0.06040441617369652, 0.9715391397476196, -0.27060815691947937, 0.2379966527223587, -0.491362601518631, 0.28721851110458374, -0.37358418107032776, 0.3975830078125, -0.028178928419947624, 0.07305268198251724, 0.8763169050216675, 0.24084460735321045, -0.038468215614557266, 0.4671870172023773, -0.7611481547355652, 0.4287053942680359, 0.25619691610336304, 0.6901781558990479, -0.36281144618988037, -0.15722723305225372, 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we all agree on\u2014the reality we just agreed on\". Another example can be found in \"Wikipedia Celebrates 750 Years of American Independence\", a July 2006 front-page article in \"The Onion\", as well as the 2010 \"The Onion\" article \"'L.A. Law' Wikipedia Page Viewed 874 Times Today\".", "emb": [-0.3071027994155884, 0.4832075834274292, 0.049467187374830246, 0.11489848047494888, -0.06539744883775711, 0.16310183703899384, 0.24017132818698883, -0.3431021571159363, 0.060365911573171616, 0.2994772791862488, -0.14690396189689636, -0.2230163812637329, -0.5293372869491577, 0.22781643271446228, -0.06522208452224731, -0.234390527009964, 0.7259264588356018, 0.38793492317199707, 0.1300094723701477, -0.20595787465572357, -0.3767966032028198, 0.7609028220176697, -0.5297637581825256, -0.461852490901947, -0.16038388013839722, 0.49312248826026917, -0.35392439365386963, -0.23553349077701569, 0.2832869589328766, 0.05658320337533951, 0.6488818526268005, -0.06387671828269958, -0.04297194629907608, 0.4098210334777832, -0.7212468385696411, 0.39407777786254883, 0.6682771444320679, 0.20510070025920868, -0.500585675239563, 0.8367577195167542, 0.26281076669692993, 0.0014064708957448602, -0.18822667002677917, 0.12376221269369125, 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Viewers of the show tried to add the episode's mention of the page as a section of the actual Wikipedia article on negotiation, but this effort was prevented by other users on the article's talk page.", "emb": [0.256616473197937, 0.25718024373054504, 0.3933967351913452, 0.19719058275222778, -0.2651764154434204, -0.30296632647514343, 0.2094395011663437, -0.3671102225780487, 0.3056160509586334, 0.508007287979126, -0.4102352261543274, -0.4107424020767212, -0.5420162677764893, 0.3983059227466583, 0.07758786529302597, -0.29608824849128723, 0.49657943844795227, 0.28532880544662476, 0.1205456331372261, -0.15204563736915588, -0.5222998857498169, 0.4398030936717987, -0.24131909012794495, -0.06964978575706482, -0.1361323893070221, 0.32903164625167847, -0.36631909012794495, 0.16128024458885193, -0.33202993869781494, 0.44777143001556396, 0.8411891460418701, 0.19537320733070374, -0.45539888739585876, 0.00694365194067359, -0.4636012017726898, 0.2600198984146118, 0.3192838132381439, 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{"text": "In December 2015, John Julius Norwich stated, in a letter published in \"The Times\" newspaper, that as a historian he resorted to Wikipedia \"at least a dozen times a day\", and had never yet caught it out. He described it as \"a work of reference as useful as any in existence\", with so wide a range that it is almost impossible to find a person, place, or thing that it has left uncovered and that he could never have written his last two books without it.", "emb": [0.060892023146152496, -0.029753774404525757, 0.21250410377979279, 0.4847780764102936, 0.24744370579719543, 0.030282389372587204, 0.4256673753261566, -0.33666014671325684, 0.09597087651491165, 0.49835205078125, -0.32990479469299316, 0.030269334092736244, -1.0141648054122925, -0.22975313663482666, -0.02690671570599079, -0.012433106079697609, 0.5394200682640076, -0.03003188781440258, 0.11859573423862457, 0.0722496435046196, -0.2591400146484375, 0.846622109413147, -0.5197777152061462, -0.26906564831733704, 0.01977786421775818, 0.3414037525653839, -0.6162086129188538, -0.13867749273777008, -0.2545328736305237, -0.17233212292194366, 0.5650620460510254, -0.2686428129673004, -0.4577239155769348, 0.2533954977989197, -0.7421638369560242, 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These other Wikimedia projects include Wiktionary, a dictionary project launched in December 2002, Wikiquote, a collection of quotations created a week after Wikimedia launched, Wikibooks, a collection of collaboratively written free textbooks and annotated texts, Wikimedia Commons, a site devoted to free-knowledge multimedia, Wikinews, for citizen journalism, and Wikiversity, a project for the creation of free learning materials and the provision of online learning activities. Another sister project of Wikipedia, Wikispecies, is a catalogue of species. In 2012 Wikivoyage, an editable travel guide, and Wikidata, an editable knowledge base, launched.", "emb": [0.07365306466817856, 0.8818795680999756, -0.03579993546009064, 0.09694195538759232, -0.24226996302604675, 0.17662277817726135, 0.5031408667564392, -0.43744462728500366, 0.08304247260093689, 0.3529137670993805, -0.13380113244056702, -0.18408317863941193, -0.038609541952610016, -0.23871652781963348, -0.422186940908432, -0.01672651246190071, 0.5284925103187561, -0.005459134932607412, -0.22476577758789062, -0.12767711281776428, -0.20351721346378326, 0.5208877921104431, -0.27984175086021423, -0.3321070671081543, -0.004682457074522972, 0.2927815020084381, -0.08583863079547882, -0.04402672126889229, 0.03509180247783661, 0.015313584357500076, 0.38092008233070374, -0.1899043768644333, -0.2566089630126953, 0.4621250629425049, -0.35902079939842224, 0.6143936514854431, 0.03949006274342537, 0.07867151498794556, 0.09848449379205704, 0.3011350929737091, 0.024017175659537315, 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Nicholas Carr wrote a 2005 essay, \"The amorality of Web 2.0\", that criticized websites with user-generated content, like Wikipedia, for possibly leading to professional (and, in his view, superior) content producers' going out of business, because \"free trumps quality all the time\". Carr wrote: \"Implicit in the ecstatic visions of Web 2.0 is the hegemony of the amateur. I for one can't imagine anything more frightening.\" Others dispute the notion that Wikipedia, or similar efforts, will entirely displace traditional publications. For instance, Chris Anderson, the editor-in-chief of \"Wired Magazine\", wrote in \"Nature\" that the \"wisdom of crowds\" approach of Wikipedia will not displace top scientific journals, with their rigorous peer review process.", "emb": [-0.2536103427410126, -0.039354272186756134, 0.2764555811882019, -0.12290214002132416, -0.5800214409828186, -0.18037648499011993, 0.3531995117664337, -0.3785923421382904, 0.25827136635780334, 0.406194806098938, -0.3321892023086548, -0.4017888307571411, -0.4944120943546295, -0.46557995676994324, 0.5161513686180115, 0.11987172067165375, 0.5994581580162048, -0.19555358588695526, -0.08065056055784225, -0.49829521775245667, 0.041630376130342484, 0.6027111411094666, -0.36189207434654236, -0.4819931089878082, -0.3643154203891754, 0.1858452409505844, -0.5249518156051636, 0.19212466478347778, 0.07586624473333359, 0.25522762537002563, 0.6803064942359924, -0.35029369592666626, -0.1512647271156311, 0.749548077583313, -0.4226893186569214, 0.11337850987911224, 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In particular, it commonly serves as a target knowledge base for the entity linking problem, which is then called \"wikification\", and to the related problem of word-sense disambiguation. Methods similar to wikification can in turn be used to find \"missing\" links in Wikipedia.", "emb": [0.17703789472579956, 0.2894367575645447, -0.17095014452934265, 0.0694735124707222, -0.004099083133041859, -0.24940067529678345, 0.3054828643798828, -0.3721679747104645, -0.16096752882003784, 0.3570963442325592, -0.3226413428783417, 0.2453605681657791, -0.31477898359298706, -0.03874051198363304, -0.5323716998100281, 0.19620227813720703, 0.4628607928752899, 0.00890552718192339, -0.09946528822183609, 0.1558469533920288, -0.00897742435336113, 0.42364501953125, -0.07045336812734604, -0.24491924047470093, -0.005963918752968311, 0.3061631917953491, 0.05955687537789345, -0.08425231277942657, 0.14338190853595734, -0.14379242062568665, 0.41689860820770264, -0.1290753036737442, -0.10426183044910431, 0.470152884721756, -0.39238882064819336, 0.21854417026042938, 0.13511477410793304, 0.3531479835510254, 0.021481703966856003, 0.18047171831130981, 0.015513695776462555, 0.3269619345664978, 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They used PageRank, CheiRank and similar algorithms \"followed by the number of appearances in the 24 different language editions of Wikipedia (descending order) and the century in which they were founded (ascending order)\". The study was updated in 2019.", "emb": [-0.12747126817703247, -0.10799849033355713, 0.0009726707357913256, -0.07062052935361862, -0.09645724296569824, 0.13235335052013397, 0.23718354105949402, -0.3782327175140381, 0.0008645491325296462, 0.5707884430885315, -0.40400174260139465, 0.14924514293670654, -0.31015339493751526, -0.3270704448223114, -0.2743912637233734, 0.4488605558872223, 0.5742754936218262, 0.2578090727329254, -0.16586288809776306, 0.04490659385919571, -0.07197892665863037, 0.3027890622615814, -0.015964815393090248, -0.5404410362243652, -0.03803297504782677, 0.22359620034694672, -0.38866880536079407, 0.1892983615398407, -0.17797885835170746, 0.2913002371788025, 0.46365049481391907, -0.46288445591926575, -0.20195360481739044, 0.7304940223693848, -0.47483718395233154, 0.295775443315506, 0.1647832840681076, 0.5168697237968445, 0.3261500597000122, 0.031645648181438446, 0.15768268704414368, 0.6169507503509521, 0.10376034677028656, -0.15465915203094482, -0.14564506709575653, 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The first of these was the 1986 BBC Domesday Project, which included text (entered on BBC Micro computers) and photographs from more than a million contributors in the UK, and covered the geography, art, and culture of the UK. This was the first interactive multimedia encyclopedia (and was also the first major multimedia document connected through internal links), with the majority of articles being accessible through an interactive map of the UK. The user interface and part of the content of the Domesday Project were emulated on a website until 2008.", "emb": [0.3040250539779663, -0.10739858448505402, -0.11792255938053131, 0.02890283614397049, -0.07247909158468246, -0.1372614949941635, 0.40812286734580994, -0.3220009505748749, 0.07866311073303223, 0.3812311589717865, -0.6058235168457031, -0.1547895073890686, -0.5631275773048401, -0.21232393383979797, -0.2110118269920349, 0.3358522653579712, 0.535756528377533, -0.24853233993053436, 0.313926637172699, 0.1223517432808876, 0.04403053969144821, 0.7084951996803284, -0.6385782361030579, -0.5073064565658569, -0.33829355239868164, 0.33742809295654297, -0.19983695447444916, -0.0052381171844899654, -0.156056746840477, 0.0179517213255167, 0.5707741379737854, -0.08121392875909805, 0.08755940198898315, 0.6866401433944702, -0.3106759488582611, 0.6304996013641357, 0.0643175020813942, 0.10148240625858307, 0.014454773627221584, 0.06680389493703842, 0.35660821199417114, -0.006670041009783745, 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One of the most successful early online encyclopedias incorporating entries by the public was h2g2, which was created by Douglas Adams in 1999. The h2g2 encyclopedia is relatively lighthearted, focusing on articles which are both witty and informative.", "emb": [0.11351852118968964, 0.19487176835536957, -0.06038391590118408, -0.028621237725019455, -0.1370881199836731, -0.029024047777056694, 0.374143123626709, -0.30322933197021484, -0.1593354344367981, 0.15067720413208008, -0.3304814398288727, 0.0788666307926178, -0.4062982499599457, -0.08535338193178177, -0.08138006180524826, 0.30327048897743225, 0.5183849334716797, -0.11812321096658707, 0.05313030257821083, -0.140018492937088, -0.07699178904294968, 0.5808151960372925, -0.38994255661964417, -0.4691818952560425, -0.0015203747898340225, 0.1422731876373291, -0.2713586688041687, 0.05017842724919319, 0.36383435130119324, 0.11345642805099487, 0.4560907185077667, -0.2443680465221405, -0.3803417384624481, 0.43621593713760376, -0.37814491987228394, 0.4881603419780731, -0.017992038279771805, 0.1429925113916397, -0.3120630085468292, 0.4229641854763031, 0.38443633913993835, 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Others use more traditional peer review, such as \"Encyclopedia of Life\" and the online wiki encyclopedias \"Scholarpedia\" and Citizendium. 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"type": "flat" + } + }, + "text": { + "type": "text", + "index": false + } + } + } + } +} \ No newline at end of file diff --git a/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_patch.json b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_patch.json new file mode 100644 index 0000000000000..8894f75412694 --- /dev/null +++ b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_patch.json @@ -0,0 +1,34 @@ +{ + "dynamic": "strict", + "properties": { + "wiki_id": { + "type": "keyword" + }, + "url": { + "type": "keyword" + }, + "title": { + "type": "text" + }, + "text": { + "type": "text" + }, + "chunks": { + "type": "nested", + "properties": { + "emb": { + "type": "dense_vector", + "dims": 768, + "patch_source": true, + "index_options": { + "type": "flat" + } + }, + "text": { + "type": "text", + "index": false + } + } + } + } +} \ No newline at end of file diff --git a/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_stored.json b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_stored.json new file mode 100644 index 0000000000000..aded38bbb5487 --- /dev/null +++ b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_stored.json @@ -0,0 +1,33 @@ +{ + "dynamic": "strict", + "properties": { + "wiki_id": { + "type": "keyword" + }, + "url": { + "type": "keyword" + }, + "title": { + "type": "text" + }, + "text": { + "type": "text" + }, + "chunks": { + "type": "nested", + "properties": { + "emb": { + "type": "dense_vector", + "dims": 768, + "index_options": { + "type": "flat" + } + }, + "text": { + "type": "text", + "index": false + } + } + } + } +} \ No newline at end of file diff --git a/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_synthetic.json b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_synthetic.json new file mode 100644 index 0000000000000..8a02483ccab38 --- /dev/null +++ b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_mapping_synthetic.json @@ -0,0 +1,36 @@ +{ + "dynamic": "strict", + "_source": { + "mode": "synthetic" + }, + "properties": { + "wiki_id": { + "type": "keyword" + }, + "url": { + "type": "keyword" + }, + "title": { + "type": "text" + }, + "text": { + "type": "text" + }, + "chunks": { + "type": "nested", + "properties": { + "emb": { + "type": "dense_vector", + "dims": 768, + "index_options": { + "type": "flat" + } + }, + "text": { + "type": "text", + "index": false + } + } + } + } +} \ No newline at end of file diff --git a/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_medium.json b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_medium.json new file mode 100644 index 0000000000000..621625d6659ea --- /dev/null +++ b/benchmarks/src/main/resources/org/elasticsearch/benchmark/search/wikipedia_medium.json @@ -0,0 +1 @@ +{"wiki_id": 3235536, "title": "Google Translate", "url": "https://en.wikipedia.org/wiki?curid=3235536", "text": "Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, and an API that helps developers build browser extensions and software applications. As of 2022, Google Translate supports languages at various levels, and , claimed over 500 million total users, with more than 100 billion words translated daily, after the company stated in May 2013 that it served over 200 million people daily.Launched in April 2006 as a statistical machine translation service, it used United Nations and European Parliament documents and transcripts to gather linguistic data. Rather than translating languages directly, it first translates text to English and then pivots to the target language in most of the language combinations it posits in its grid, with a few exceptions including Catalan-Spanish. During a translation, it looks for patterns in millions of documents to help decide which words to choose and how to arrange them in the target language. Its accuracy, which has been criticized on several occasions, has been measured to vary greatly across languages. In November 2016, Google announced that Google Translate would switch to a neural machine translation engine \u2013 Google Neural Machine Translation (GNMT) \u2013 which translates \"whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar\".Google Translate is a web-based free-to-user translation service developed by Google in April 2006. It translates multiple forms of texts and media such as words, phrases and webpages.Originally, Google Translate was released as a statistical machine translation service. The input text had to be translated into English first before being translated into the selected language. Since SMT uses predictive algorithms to translate text, it had poor grammatical accuracy. Despite this, Google initially did not hire experts to resolve this limitation due to the ever-evolving nature of language.In January 2010, Google introduced an Android app and iOS version in February 2011 to serve as a portable personal interpreter. As of February 2010, it was integrated into browsers such as Chrome and was able to pronounce the translated text, automatically recognize words in a picture and spot unfamiliar text and languages.In May 2014, Google acquired Word Lens to improve the quality of visual and voice translation. It is able to scan text or a picture using the device and have it translated instantly. Moreover, the system automatically identifies foreign languages and translates speech without requiring individuals to tap the microphone button whenever speech translation is needed.In November 2016, Google transitioned its translating method to a system called neural machine translation. It uses deep learning techniques to translate whole sentences at a time, which has been measured to be more accurate between English and French, German, Spanish, and Chinese. No measurement results have been provided by Google researchers for GNMT from English to other languages, other languages to English, or between language pairs that do not include English. As of 2018, it translates more than 100 billion words a day.In 2017, Google Translate was used during a court hearing when court officials at Teesside Magistrates' Court failed to book an interpreter for the Chinese defendant.At the end of September 2022, Google Translate was discontinued in mainland China, which Google said was due to \"low usage\" (see Internet censorship in China).Google Translate can translate multiple forms of text and media, which includes text, speech, and text within still or moving images. Specifically, its functions include:For most of its features, Google Translate provides the pronunciation, dictionary, and listening to translation. Additionally, Google Translate has introduced its own Translate app, so translation is available with a mobile phone in offline mode.Google Translate produces approximations across languages of multiple forms of text and media, including text, speech, websites, or text on display in still or live video images. For some languages, Google Translate can synthesize speech from text, and in certain pairs it is possible to highlight specific corresponding words and phrases between the source and target text. Results are sometimes shown with dictional information below the translation box, but it is not a dictionary and has been shown to invent translations in all languages for words it does not recognize. If \"Detect language\" is selected, text in an unknown language can be automatically identified. In the web interface, users can suggest alternate translations, such as for technical terms, or correct mistakes. These suggestions may be included in future updates to the translation process. If a user enters a URL in the source text, Google Translate will produce a hyperlink to a machine translation of the website. Users can save translation proposals in a \"phrasebook\" for later use, and a shareable URL is generated for each translation. For some languages, text can be entered via an on-screen keyboard, through handwriting recognition, or speech recognition. It is possible to enter searches in a source language that are first translated to a destination language allowing one to browse and interpret results from the selected destination language in the source language.Texts written in the Arabic, Cyrillic, Devanagari and Greek scripts can be transliterated automatically from phonetic equivalents written in the Latin alphabet. The browser version of Google Translate provides the option to show phonetic equivalents of text translated from Japanese to English. The same option is not available on the paid API version.Many of the more popular languages have a \"text-to-speech\" audio function that is able to read back a text in that language, up to a few dozen words or so. In the case of pluricentric languages, the accent depends on the region: for English, in the Americas, most of the Asia-Pacific and Western Asia, the audio uses a female General American accent, whereas in Europe, Hong Kong, Malaysia, Singapore, Guyana and all other parts of the world, a female British (Received Pronunciation) accent is used, except for a special General Australian accent used in Australia, New Zealand and Norfolk Island, and an Indian English accent used in India; for Spanish, in the Americas, a Latin American accent is used, while in the other parts of the world, a Castilian accent is used; for Portuguese, a S\u00e3o Paulo accent is used around the world, except in Portugal, where their native accent is used instead; for French, a Quebec accent is used in Canada, while in the other parts of the world, a standard European accent is used; for Bengali, a male Bangladeshi accent is used, except in India, where a special female Indian Bengali accent is used instead. Some less widely spoken languages use the open-source eSpeak synthesizer for their speech; producing a robotic, awkward voice that may be difficult to understand.Google Translate is available in some web browsers as an optional downloadable extension that can run the translation engine, which allow right-click command access to the translation service. In February 2010, Google Translate was integrated into the Google Chrome browser by default, for optional automatic webpage translation.The Google Translate app for Android and iOS supports languages and can propose translations for 37 languages via photo, 32 via voice in \"conversation mode\", and 27 via live video imagery in \"augmented reality mode\".The Android app was released in January 2010, and for iOS on February 8, 2011, after an HTML5 web application was released for iOS users in August 2008. The Android app is compatible with devices running at least Android 2.1, while the iOS app is compatible with iPod Touches, iPads, and iPhones updated to iOS 7.0+.A January 2011 Android version experimented with a \"Conversation Mode\" that aims to allow users to communicate fluidly with a nearby person in another language. Originally limited to English and Spanish, the feature received support for 12 new languages, still in testing, the following October.The 'Camera input' functionality allows users to take a photograph of a document, signboard, etc. Google Translate recognises the text from the image using optical character recognition (OCR) technology and gives the translation. Camera input is not available for all languages.In January 2015, the apps gained the ability to propose translations of physical signs in real time using the device's camera, as a result of Google's acquisition of the Word Lens app. The original January launch only supported seven languages, but a July update added support for 20 new languages, with the release of a new implementation that utilizes convolutional neural networks, and also enhanced the speed and quality of Conversation Mode translations (augmented reality). The feature was subsequently renamed Instant Camera. The technology underlying Instant Camera combines image processing and optical character recognition, then attempts to produce cross-language equivalents using standard Google Translate estimations for the text as it is perceived.On May 11, 2016, Google introduced \"Tap to Translate\" for Google Translate for Android. Upon highlighting text in an app that is in a foreign language, Translate will pop up inside of the app and offer translations.On May 26, 2011, Google announced that the Google Translate API for software developers had been deprecated and would cease functioning. The Translate API page stated the reason as \"substantial economic burden caused by extensive abuse\" with an end date set for December 1, 2011. In response to public pressure, Google announced in June 2011 that the API would continue to be available as a paid service.Because the API was used in numerous third-party websites and apps, the original decision to deprecate it led some developers to criticize Google and question the viability of using Google APIs in their products.Google Translate also provides translations for Google Assistant and the devices that Google Assistant runs on such as Google Nest and Pixel Buds.As of 2022, the following 133 languages are supported by Google Translate.The following languages are not yet supported by Google Translate, but are available in the Translate Community. As of 2022, there are 103 languages in development, of which 9 are in beta version.The languages in beta version are closer to their public release and have an exclusive extra option to contribute that allows evaluating up to 4 translations of the beta version by translating an English text of up to 50 characters.There is currently a petition for Google to add Cree to Google Translate, but as of 2022, it is not one of the languages in development.Google Translate does not apply grammatical rules, since its algorithms are based on statistical or pattern analysis rather than traditional rule-based analysis. The system's original creator, Franz Josef Och, has criticized the effectiveness of rule-based algorithms in favor of statistical approaches. Original versions of Google Translate were based on a method called statistical machine translation, and more specifically, on research by Och who won the DARPA contest for speed machine translation in 2003. Och was the head of Google's machine translation group until leaving to join Human Longevity, Inc. in July 2014.Google Translate does not translate from one language to another (L1 \u2192 L2). Instead, it often translates first to English and then to the target language (L1 \u2192 EN \u2192 L2). However, because English, like all human languages, is ambiguous and depends on context, this can cause translation errors. For example, translating ' from French to Russian gives \u2192 you \u2192 OR . If Google were using an unambiguous, artificial language as the intermediary, it would be \u2192 you \u2192 OR \u2192 thou \u2192 \"\"'. Such a suffixing of words disambiguates their different meanings. Hence, publishing in English, using unambiguous words, providing context, using expressions such as \"you all\" may or may not make a better one-step translation depending on the target language.The following languages do not have a direct Google translation to or from English. These languages are translated through the indicated intermediate language (which in most cases is closely related to the desired language but more widely spoken) in addition to through English:According to Och, a solid base for developing a usable statistical machine translation system for a new pair of languages from scratch would consist of a bilingual text corpus (or parallel collection) of more than 150-200 million words, and two monolingual corpora each of more than a billion words. Statistical models from these data are then used to translate between those languages.To acquire this huge amount of linguistic data, Google used United Nations and European Parliament documents and transcripts. The UN typically publishes documents in all six official UN languages, which has produced a very large 6-language corpus.Google representatives have been involved with domestic conferences in Japan where it has solicited bilingual data from researchers.When Google Translate generates a translation proposal, it looks for patterns in hundreds of millions of documents to help decide on the best translation. By detecting patterns in documents that have already been translated by human translators, Google Translate makes informed guesses (AI) as to what an appropriate translation should be.Before October 2007, for languages other than Arabic, Chinese and Russian, Google Translate was based on SYSTRAN, a software engine which is still used by several other online translation services such as Babel Fish (now defunct). From October 2007, Google Translate used proprietary, in-house technology based on statistical machine translation instead, before transitioning to neural machine translation.Google has crowdsourcing features for volunteers to be a part of its \"Translate Community\", intended to help improve Google Translate's accuracy. Volunteers can select up to five languages to help improve translation; users can verify translated phrases and translate phrases in their languages to and from English, helping to improve the accuracy of translating more rare and complex phrases. In August 2016, a Google Crowdsource app was released for Android users, in which translation tasks are offered. There are three ways to contribute. First, Google will show a phrase that one should type in the translated version. Second, Google will show a proposed translation for a user to agree, disagree, or skip. Third, users can suggest translations for phrases where they think they can improve on Google's results. Tests in 44 languages show that the \"suggest an edit\" feature led to an improvement in a maximum of 40% of cases over four years.Although Google deployed a new system called neural machine translation for better quality translation, there are languages that still use the traditional translation method called statistical machine translation. It is a rule-based translation method that utilizes predictive algorithms to guess ways to translate texts in foreign languages. It aims to translate whole phrases rather than single words then gather overlapping phrases for translation. Moreover, it also analyzes bilingual text corpora to generate statistical model that translates texts from one language to another.In September 2016, a research team at Google announced the development of the Google Neural Machine Translation system (GNMT) to increase fluency and accuracy in Google Translate and in November announced that Google Translate would switch to GNMT.Google Translate's neural machine translation system uses a large end-to-end artificial neural network that attempts to perform deep learning, in particular, long short-term memory networks. GNMT improves the quality of translation over SMT in some instances because it uses an example-based machine translation (EBMT) method in which the system \"learns from millions of examples.\" According to Google researchers, it translates \"whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar\". GNMT's \"proposed architecture\" of \"system learning\" has been implemented on over a hundred languages supported by Google Translate. With the end-to-end framework, Google states but does not demonstrate for most languages that \"the system learns over time to create better, more natural translations.\" The GNMT network attempts interlingual machine translation, which encodes the \"semantics of the sentence rather than simply memorizing phrase-to-phrase translations\", and the system did not invent its own universal language, but uses \"the commonality found in between many languages\". GNMT was first enabled for eight languages: to and from English and Chinese, French, German, Japanese, Korean, Portuguese, Spanish and Turkish. In March 2017, it was enabled for Hindi, Russian and Vietnamese, followed by Bengali, Gujarati, Indonesian, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu in April.Google Translate is not as reliable as human translation. When text is well-structured, written using formal language, with simple sentences, relating to formal topics for which training data is ample, it often produces conversions similar to human translations between English and a number of high-resource languages. Accuracy decreases for those languages when fewer of those conditions apply, for example when sentence length increases or the text uses familiar or literary language. For many other languages vis-\u00e0-vis English, it can produce the gist of text in those formal circumstances. Human evaluation from English to all 102 languages shows that the main idea of a text is conveyed more than 50% of the time for 35 languages. For 67 languages, a minimally comprehensible result is not achieved 50% of the time or greater. A few studies have evaluated Chinese, French, German, and Spanish to English, but no systematic human evaluation has been conducted from most Google Translate languages to English. Speculative language-to-language scores extrapolated from English-to-other measurements indicate that Google Translate will produce translation results that convey the gist of a text from one language to another more than half the time in about 1% of language pairs, where neither language is English. Research conducted in 2011 showed that Google Translate got a slightly higher score than the UCLA minimum score for the English Proficiency Exam. Due to its identical choice of words without considering the flexibility of choosing alternative words or expressions, it produces a relatively similar translation to human translation from the perspective of formality, referential cohesion, and conceptual cohesion. Moreover, a number of languages are translated into a sentence structure and sentence length similar to a human translation. Furthermore, Google carried out a test that required native speakers of each language to rate the translation on a scale between 0 and 6, and Google Translate scored 5.43 on average.When used as a dictionary to translate single words, Google Translate is highly inaccurate because it must guess between polysemic words. Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. Most common English words have at least two senses, which produces 50/50 odds in the likely case that the target language uses different words for those different senses. The odds are similar from other languages to English. Google Translate makes statistical guesses that raise the likelihood of producing the most frequent sense of a word, with the consequence that an accurate translation will be unobtainable in cases that do not match the majority or plurality corpus occurrence. The accuracy of single-word predictions has not been measured for any language. Because almost all non-English language pairs pivot through English, the odds against obtaining accurate single-word translations from one non-English language to another can be estimated by multiplying the number of senses in the source language with the number of senses each of those terms have in English. When Google Translate does not have a word in its vocabulary, it makes up a result as part of its algorithm.Google Translate, like other automatic translation tools, has its limitations. The service limits the number of paragraphs and the range of technical terms that can be translated, and while it can help the reader understand the general content of a foreign language text, it does not always deliver accurate translations, and most times it tends to repeat verbatim the same word it is expected to translate. Grammatically, for example, Google Translate struggles to differentiate between \"imperfect\" and \"perfect\" aspects in Romance languages so habitual and continuous acts in the past often become single \"historical\" events. Although seemingly pedantic, this can often lead to incorrect results (to a native speaker of for example French and Spanish) which would have been avoided by a human translator. Knowledge of the \"subjunctive mood\" is virtually non-existent. Moreover, the formal second person () is often chosen, whatever the context or accepted usage. Since its English reference material contains only \"you\" forms, it has difficulty translating a language with \"you all\" or formal \"you\" variations.Due to differences between languages in investment, research, and the extent of digital resources, the accuracy of Google Translate varies greatly among languages. Some languages produce better results than others. Most languages from Africa, Asia, and the Pacific, tend to score poorly in relation to the scores of many well-financed European languages, Afrikaans and Chinese being the high-scoring exceptions from their continents. No languages indigenous to Australia are included within Google Translate. Higher scores for European can be partially attributed to the Europarl Corpus, a trove of documents from the European Parliament that have been professionally translated by the mandate of the European Union into as many as 21 languages. A 2010 analysis indicated that French to English translation is relatively accurate, and 2011 and 2012 analyses showed that Italian to English translation is relatively accurate as well. However, if the source text is shorter, rule-based machine translations often perform better; this effect is particularly evident in Chinese to English translations. While edits of translations may be submitted, in Chinese specifically one cannot edit sentences as a whole. Instead, one must edit sometimes arbitrary sets of characters, leading to incorrect edits. A good example is Russian-to-English. Formerly one would use Google Translate to make a draft and then use a dictionary and common sense to correct the numerous mistakes. As of early 2018 Translate is sufficiently accurate to make the Russian Wikipedia accessible to those who can read English. The quality of Translate can be checked by adding it as an extension to Chrome or Firefox and applying it to the left language links of any Wikipedia article. It can be used as a dictionary by typing in words. One can translate from a book by using a scanner and an OCR like Google Drive, but this takes about five minutes per page.In its Written Words Translation function, there is a word limit on the amount of text that can be translated at once. Therefore, long text should be transferred to a document form and translated through its Document Translate function.Moreover, like all machine translation programs, Google Translate struggles with polysemy (the multiple meanings a word may have) and multiword expressions (terms that have meanings that cannot be understood or translated by analyzing the individual word units that compose them). A word in a foreign language might have two different meanings in the translated language. This might lead to mistranslations.Irish language data from Foras na Gaeilge's New English-Irish Dictionary (English database designed and developed for Foras na Gaeilge by Lexicography MasterClass Ltd.)Certain content is copyright Oxford University Press USA. Some phrase translations come from Wikitravel.Shortly after launching the translation service for the first time, Google won an international competition for English\u2013Arabic and English\u2013Chinese machine translation.Since Google Translate used statistical matching to translate, translated text can often include apparently nonsensical and obvious errors, often swapping common terms for similar but nonequivalent common terms in the other language, as well as inverting sentence meaning. Novelty websites like Bad Translator and Translation Party have utilized the service to produce humorous text by translating back and forth between multiple languages, similar to the children's game telephone.", "chunks": [{"text": "Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, and an API that helps developers build browser extensions and software applications. 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Rather than translating languages directly, it first translates text to English and then pivots to the target language in most of the language combinations it posits in its grid, with a few exceptions including Catalan-Spanish. During a translation, it looks for patterns in millions of documents to help decide which words to choose and how to arrange them in the target language. Its accuracy, which has been criticized on several occasions, has been measured to vary greatly across languages. In November 2016, Google announced that Google Translate would switch to a neural machine translation engine \u2013 Google Neural Machine Translation (GNMT) \u2013 which translates \"whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar\".", "emb": [-0.1339578479528427, 0.34549206495285034, -0.019966918975114822, 0.2035815417766571, -0.09729062765836716, -0.29833585023880005, 0.2756994366645813, -0.3049114942550659, -0.03639170154929161, 0.5126215815544128, -0.22383028268814087, -0.182789146900177, 0.07169397175312042, -0.43090006709098816, -0.2478875070810318, 0.308559387922287, 0.4290560185909271, -0.0020086627919226885, 0.4096314609050751, -0.09996740520000458, -0.02373250387609005, 0.4406532943248749, 0.39251232147216797, -0.1916894018650055, -0.4842394292354584, 0.15438157320022583, -0.1956007182598114, 0.22175796329975128, -0.193167582154274, 0.34899064898490906, 0.4127824902534485, -0.3518878221511841, -0.3471018075942993, 0.38812920451164246, -0.71136474609375, 0.40898627042770386, 0.10160703957080841, 0.38314661383628845, 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The input text had to be translated into English first before being translated into the selected language. Since SMT uses predictive algorithms to translate text, it had poor grammatical accuracy. Despite this, Google initially did not hire experts to resolve this limitation due to the ever-evolving nature of language.", "emb": [-0.07321346551179886, 0.22652234137058258, -0.12070199102163315, 0.3646007180213928, 0.20146428048610687, 0.08242253214120865, 0.42981278896331787, -0.32769131660461426, -0.1874626874923706, 0.5072181820869446, -0.28820741176605225, -0.25493550300598145, -0.037305086851119995, -0.23248246312141418, -0.21713872253894806, 0.18660134077072144, 0.5349281430244446, 0.20439478754997253, 0.3923948109149933, -0.07986648380756378, -0.05901243910193443, 0.44476962089538574, 0.35569682717323303, -0.07489149272441864, -0.15645599365234375, 0.04566330090165138, -0.2487230747938156, 0.2862492501735687, -0.16233700513839722, 0.2853180766105652, 0.38845062255859375, -0.22319342195987701, -0.39932894706726074, 0.3126611113548279, -0.3747006356716156, 0.23153968155384064, 0.3296833038330078, 0.2752966582775116, -0.018361104652285576, -0.05763313174247742, 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It is able to scan text or a picture using the device and have it translated instantly. 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It uses deep learning techniques to translate whole sentences at a time, which has been measured to be more accurate between English and French, German, Spanish, and Chinese. No measurement results have been provided by Google researchers for GNMT from English to other languages, other languages to English, or between language pairs that do not include English. As of 2018, it translates more than 100 billion words a day.", "emb": [-0.05180168151855469, 0.06849697232246399, 0.13505302369594574, 0.3239578902721405, -0.06386430561542511, -0.34607240557670593, 0.3738470673561096, -0.261455237865448, -0.230149045586586, 0.36807939410209656, -0.3551824986934662, -0.2312273234128952, -0.05058407783508301, -0.4092845320701599, -0.26570335030555725, 0.5462231040000916, 0.59405517578125, 0.3355134427547455, 0.2917781472206116, -0.03619663044810295, -0.12093690782785416, 0.483642578125, 0.4743599593639374, -0.37406042218208313, -0.1560862958431244, 0.433219313621521, -0.10806938260793686, 0.07695220410823822, -0.47536277770996094, 0.328998863697052, 0.13099956512451172, -0.3678841292858124, -0.5599024891853333, 0.47997328639030457, -0.39679160714149475, 0.42234450578689575, 0.13056054711341858, 0.17395709455013275, 0.5136913657188416, 0.2787807285785675, 0.12213034182786942, 0.42441558837890625, 0.12163562327623367, 0.2860235571861267, 0.29420205950737, 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For some languages, Google Translate can synthesize speech from text, and in certain pairs it is possible to highlight specific corresponding words and phrases between the source and target text. Results are sometimes shown with dictional information below the translation box, but it is not a dictionary and has been shown to invent translations in all languages for words it does not recognize. If \"Detect language\" is selected, text in an unknown language can be automatically identified. In the web interface, users can suggest alternate translations, such as for technical terms, or correct mistakes. These suggestions may be included in future updates to the translation process. If a user enters a URL in the source text, Google Translate will produce a hyperlink to a machine translation of the website. Users can save translation proposals in a \"phrasebook\" for later use, and a shareable URL is generated for each translation. For some languages, text can be entered via an on-screen keyboard, through handwriting recognition, or speech recognition. It is possible to enter searches in a source language that are first translated to a destination language allowing one to browse and interpret results from the selected destination language in the source language.", "emb": [0.00573366554453969, 0.6079479455947876, 0.05950057879090309, 0.3677440881729126, 0.015215575695037842, -0.1558111160993576, 0.36055824160575867, -0.3734464645385742, -0.025361672043800354, 0.5946054458618164, -0.21127849817276, -0.08292414247989655, -0.03027624450623989, 0.0537225604057312, -0.2509716749191284, 0.2483629435300827, 0.3505873680114746, -0.0782022625207901, 0.0389077365398407, 0.061395492404699326, 0.14918260276317596, 0.5369281768798828, 0.17162202298641205, -0.058012887835502625, -0.14895418286323547, 0.05549801141023636, -0.16496972739696503, 0.2779726982116699, -0.17271217703819275, 0.25354647636413574, 0.4396148920059204, -0.29498302936553955, -0.30615007877349854, 0.36829322576522827, -0.5634852647781372, 0.34275394678115845, 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The browser version of Google Translate provides the option to show phonetic equivalents of text translated from Japanese to English. The same option is not available on the paid API version.", "emb": [-0.0858953520655632, 0.6949462890625, 0.483812540769577, 0.07039756327867508, -0.07445774972438812, -0.08277987688779831, 0.1505037099123001, -0.3707377016544342, 0.24576298892498016, 0.7157321572303772, -0.1886797547340393, -0.3516794443130493, -0.11483483761548996, -0.12203264236450195, -0.3467411398887634, 0.43278586864471436, 0.3984527587890625, 0.3226143419742584, 0.23474979400634766, -0.05256180092692375, -0.01321115717291832, 0.7059699296951294, 0.4340061545372009, -0.32090744376182556, -0.14630596339702606, 0.25989511609077454, -0.17195437848567963, 0.1848852038383484, -0.4305178225040436, 0.2833307087421417, 0.3489956259727478, -0.4550798237323761, -0.1594087928533554, 0.4981538951396942, -0.21156495809555054, 0.07642372697591782, -0.06541482359170914, 0.33264583349227905, 0.05716685578227043, 0.2984837293624878, 0.1924857497215271, 0.4761420488357544, -0.04650033637881279, -0.05428607016801834, 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In the case of pluricentric languages, the accent depends on the region: for English, in the Americas, most of the Asia-Pacific and Western Asia, the audio uses a female General American accent, whereas in Europe, Hong Kong, Malaysia, Singapore, Guyana and all other parts of the world, a female British (Received Pronunciation) accent is used, except for a special General Australian accent used in Australia, New Zealand and Norfolk Island, and an Indian English accent used in India; for Spanish, in the Americas, a Latin American accent is used, while in the other parts of the world, a Castilian accent is used; for Portuguese, a S\u00e3o Paulo accent is used around the world, except in Portugal, where their native accent is used instead; for French, a Quebec accent is used in Canada, while in the other parts of the world, a standard European accent is used; for Bengali, a male Bangladeshi accent is used, except in India, where a special female Indian Bengali accent is used instead. Some less widely spoken languages use the open-source eSpeak synthesizer for their speech; producing a robotic, awkward voice that may be difficult to understand.", "emb": [0.08295285701751709, 0.5476202368736267, 0.10671290755271912, -0.045752931386232376, -0.24462999403476715, -0.10091066360473633, 0.6569919586181641, -0.2694307863712311, 0.1511598527431488, 0.623255729675293, -0.21295203268527985, -0.012299221009016037, 0.029942970722913742, 0.010797850787639618, -0.1837185025215149, 0.01316368579864502, 0.33968251943588257, 0.3273286819458008, 0.30228060483932495, 0.11691568046808243, -0.21289211511611938, 0.308682918548584, 0.20575469732284546, -0.05221273750066757, -0.2950669825077057, -0.07337753474712372, -0.2541189193725586, -0.04715746268630028, 0.13180169463157654, 0.4970970153808594, 0.8111538887023926, -0.14531387388706207, -0.2824363112449646, 0.5887867212295532, -0.29617172479629517, 0.3832993507385254, -0.10282624512910843, 0.4470815658569336, 0.1331355720758438, 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The feature was subsequently renamed Instant Camera. The technology underlying Instant Camera combines image processing and optical character recognition, then attempts to produce cross-language equivalents using standard Google Translate estimations for the text as it is perceived.", "emb": [0.058469004929065704, 0.757071316242218, 0.13819503784179688, -0.09444409608840942, 0.366553395986557, -0.21483461558818817, 0.5192534923553467, -0.28967538475990295, 0.11332516372203827, 0.4955211579799652, -0.3395676612854004, 0.08744622766971588, 0.10434647649526596, -0.03503214940428734, -0.317318320274353, 0.1949997991323471, 0.28025728464126587, 0.04939175769686699, 0.02948029525578022, -0.6108802556991577, 0.2585580050945282, 0.6309700012207031, 0.1181119978427887, -0.5260202288627625, -0.6474943161010742, -0.042288169264793396, -0.05816091224551201, 0.2690434753894806, -0.4487780034542084, 0.022590691223740578, 0.032332658767700195, -0.3795400857925415, -0.6853958368301392, 0.19394458830356598, -0.6948659420013428, 0.34362655878067017, 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The Translate API page stated the reason as \"substantial economic burden caused by extensive abuse\" with an end date set for December 1, 2011. In response to public pressure, Google announced in June 2011 that the API would continue to be available as a paid service.", "emb": [-0.14189095795154572, 0.3774009644985199, 0.08898186683654785, 0.33918195962905884, 0.11868580430746078, -0.08544135093688965, 0.5721631646156311, -0.384685754776001, -0.2794596254825592, 0.3775438964366913, -0.21605107188224792, -0.08104981482028961, 0.24851052463054657, -0.3808954358100891, -0.3008035719394684, 0.34227028489112854, 0.24375030398368835, 0.004595580045133829, 0.24568001925945282, 0.0405547134578228, 0.33725106716156006, 0.7687656879425049, 0.11122141033411026, 0.045311491936445236, -0.3641026020050049, 0.3628690838813782, -0.05846831202507019, 0.09668545424938202, 0.02140290103852749, 0.30705130100250244, 0.5028467774391174, -0.2701679766178131, -0.30210667848587036, 0.10509434342384338, -0.12415410578250885, 0.38977277278900146, 0.15289607644081116, 0.7583550214767456, 0.18588361144065857, 0.029754921793937683, -0.18781203031539917, 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grammatical rules, since its algorithms are based on statistical or pattern analysis rather than traditional rule-based analysis. The system's original creator, Franz Josef Och, has criticized the effectiveness of rule-based algorithms in favor of statistical approaches. Original versions of Google Translate were based on a method called statistical machine translation, and more specifically, on research by Och who won the DARPA contest for speed machine translation in 2003. Och was the head of Google's machine translation group until leaving to join Human Longevity, Inc. in July 2014.", "emb": [-0.005626074504107237, 0.26963570713996887, 0.11219847202301025, 0.2814522981643677, -0.12139962613582611, -0.035450052469968796, 0.5642872452735901, -0.3052462339401245, -0.10626459121704102, 0.1544235646724701, -0.385388046503067, -0.44497236609458923, -0.45638465881347656, -0.17970898747444153, -0.178639754652977, 0.40464940667152405, 0.5004312992095947, 0.15864329040050507, 0.2567087709903717, -0.02437756396830082, 0.04991897568106651, 0.2697363793849945, 0.5373026728630066, -0.008072027005255222, -0.05858216807246208, 0.3313157260417938, -0.1772831231355667, 0.26776427030563354, -0.07462760806083679, 0.37818005681037903, 0.5987721681594849, -0.4801737368106842, -0.5121058225631714, 0.14579197764396667, -0.21086308360099792, 0.21400904655456543, 0.06863315403461456, 0.31442490220069885, 0.369787335395813, 0.4879022538661957, -0.10160757601261139, 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Instead, it often translates first to English and then to the target language (L1 \u2192 EN \u2192 L2). However, because English, like all human languages, is ambiguous and depends on context, this can cause translation errors. For example, translating ' from French to Russian gives \u2192 you \u2192 OR . If Google were using an unambiguous, artificial language as the intermediary, it would be \u2192 you \u2192 OR \u2192 thou \u2192 \"\"'. Such a suffixing of words disambiguates their different meanings. Hence, publishing in English, using unambiguous words, providing context, using expressions such as \"you all\" may or may not make a better one-step translation depending on the target language.", "emb": [-0.21118290722370148, 0.3045576214790344, 0.02700277417898178, 0.432466596364975, -0.3368646204471588, -0.02214847132563591, 0.5397114157676697, -0.34801533818244934, -0.4498748779296875, 0.7498425245285034, -0.2330741137266159, -0.43933042883872986, 0.07692661881446838, 0.0984099805355072, 0.03529055416584015, 0.021859781816601753, 0.45440348982810974, -0.12011881172657013, 0.15977135300636292, -0.2601805329322815, -0.017445627599954605, 0.25159192085266113, -0.007446853443980217, -0.4599432051181793, -0.42114022374153137, 0.1718776971101761, -0.03070627525448799, 0.2011081725358963, -0.025043701753020287, 0.24932071566581726, 0.8194732666015625, -0.3317180275917053, -0.42345982789993286, 0.7229831218719482, -0.49669569730758667, 0.18611162900924683, 0.32641950249671936, 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These languages are translated through the indicated intermediate language (which in most cases is closely related to the desired language but more widely spoken) in addition to through English:", "emb": [0.15021710097789764, 0.31519871950149536, 0.16608773171901703, 0.3087780475616455, -0.19924545288085938, -0.019743479788303375, 0.4940951466560364, -0.4074515402317047, 0.023231206461787224, 0.649040699005127, -0.3418668806552887, -0.11675480008125305, -0.12556831538677216, 0.12956686317920685, -0.26979589462280273, 0.31210535764694214, 0.47376206517219543, 0.06392910331487656, 0.13003379106521606, 0.28420841693878174, -0.2059134691953659, 0.5676556825637817, 0.11898026615381241, -0.3010409474372864, -0.22775687277317047, 0.045782480388879776, 0.0196965541690588, 0.11649307608604431, -0.1453559696674347, 0.32001689076423645, 0.19848419725894928, -0.11940570920705795, -0.3810221254825592, 0.4202210605144501, -0.2723933160305023, 0.36168235540390015, 0.11411569267511368, 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Statistical models from these data are then used to translate between those languages.", "emb": [0.34980612993240356, 0.5059661865234375, -0.2894352078437805, 0.30116209387779236, 0.20762217044830322, 0.28367146849632263, 0.33089888095855713, -0.3064442574977875, -0.20012928545475006, 0.6249727010726929, -0.4959011971950531, -0.3330814838409424, -0.3063908517360687, -0.5922498106956482, -0.44976645708084106, 0.3656623363494873, 0.5216417908668518, 0.40401196479797363, -0.06508726626634598, -0.42634180188179016, 0.12358775734901428, 0.48053139448165894, 0.5080277323722839, -0.06029563024640083, -0.004126398358494043, 0.2524481415748596, -0.04585263505578041, 0.0007520726067014039, -0.21336233615875244, 0.38633766770362854, 0.6337806582450867, -0.0983649268746376, -0.03976596146821976, 0.24634160101413727, -0.26055651903152466, 0.3238714039325714, -0.12099577486515045, -0.025769609957933426, 0.23324985802173615, -0.19652806222438812, 0.30986905097961426, 0.43825170397758484, 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Volunteers can select up to five languages to help improve translation; users can verify translated phrases and translate phrases in their languages to and from English, helping to improve the accuracy of translating more rare and complex phrases. In August 2016, a Google Crowdsource app was released for Android users, in which translation tasks are offered. There are three ways to contribute. First, Google will show a phrase that one should type in the translated version. Second, Google will show a proposed translation for a user to agree, disagree, or skip. Third, users can suggest translations for phrases where they think they can improve on Google's results. Tests in 44 languages show that the \"suggest an edit\" feature led to an improvement in a maximum of 40% of cases over four years.", "emb": [-0.10052704066038132, 0.41671866178512573, 0.3249661326408386, 0.15416601300239563, -0.24023251235485077, -0.16727647185325623, 0.5316382646560669, -0.36265140771865845, -0.028932157903909683, 0.5187196135520935, -0.29796022176742554, -0.49322137236595154, 0.189205601811409, -0.0078000337816774845, -0.4779893457889557, 0.20139479637145996, 0.27106809616088867, 0.20678454637527466, -0.1532384753227234, 0.043331846594810486, -0.09229482710361481, 0.5451673269271851, 0.0834427922964096, -0.18783974647521973, -0.33199116587638855, -0.11021462082862854, -0.24536137282848358, 0.2556169331073761, -0.2430410534143448, 0.06407131254673004, 0.27601978182792664, -0.25277191400527954, -0.34742602705955505, 0.1095845028758049, -0.872772216796875, 0.3949172794818878, 0.05086134001612663, 0.32251259684562683, 0.08854865282773972, 0.3515297770500183, 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It is a rule-based translation method that utilizes predictive algorithms to guess ways to translate texts in foreign languages. It aims to translate whole phrases rather than single words then gather overlapping phrases for translation. Moreover, it also analyzes bilingual text corpora to generate statistical model that translates texts from one language to another.", "emb": [-0.0760677233338356, 0.3405594527721405, 0.017584646120667458, 0.2615673840045929, -0.06390219181776047, -0.10850077867507935, 0.2663501799106598, -0.29858505725860596, -0.021778510883450508, 0.45112377405166626, -0.22212931513786316, -0.12093742191791534, -0.20299383997917175, 0.057246580719947815, -0.6797096729278564, 0.3890720009803772, 0.5196743011474609, 0.15610848367214203, 0.07926443964242935, -0.11580511182546616, -0.15062937140464783, 0.43217945098876953, 0.4370918571949005, -0.27310413122177124, 0.02208242006599903, 0.049134474247694016, -0.1142672523856163, 0.0943266749382019, -0.2983452081680298, 0.2891276180744171, 0.3972201943397522, -0.4123522937297821, -0.3380933701992035, 0.1251271814107895, -0.47827857732772827, 0.19021020829677582, 0.13768333196640015, 0.05858013778924942, 0.45398566126823425, 0.17549780011177063, 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0.029278067871928215, 0.0487995445728302, 0.3339807093143463]}, {"text": "Google Translate's neural machine translation system uses a large end-to-end artificial neural network that attempts to perform deep learning, in particular, long short-term memory networks. GNMT improves the quality of translation over SMT in some instances because it uses an example-based machine translation (EBMT) method in which the system \"learns from millions of examples.\" According to Google researchers, it translates \"whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar\". GNMT's \"proposed architecture\" of \"system learning\" has been implemented on over a hundred languages supported by Google Translate. With the end-to-end framework, Google states but does not demonstrate for most languages that \"the system learns over time to create better, more natural translations.\" The GNMT network attempts interlingual machine translation, which encodes the \"semantics of the sentence rather than simply memorizing phrase-to-phrase translations\", and the system did not invent its own universal language, but uses \"the commonality found in between many languages\". GNMT was first enabled for eight languages: to and from English and Chinese, French, German, Japanese, Korean, Portuguese, Spanish and Turkish. In March 2017, it was enabled for Hindi, Russian and Vietnamese, followed by Bengali, Gujarati, Indonesian, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu in April.", "emb": [0.009603099897503853, -0.028625115752220154, -0.037983402609825134, 0.35587310791015625, 0.002905096858739853, -0.14764386415481567, 0.5530819892883301, -0.28644317388534546, 0.07258658856153488, 0.2947046756744385, -0.25568777322769165, -0.3221679925918579, -0.0872548371553421, -0.23530954122543335, -0.18697595596313477, 0.10786581039428711, 0.3767251968383789, 0.09217061847448349, 0.11681022495031357, 0.05258731544017792, -0.05587325245141983, 0.2246842384338379, 0.26025885343551636, -0.2916072607040405, -0.19176791608333588, 0.25624656677246094, -0.23965705931186676, 0.030721768736839294, -0.256154865026474, 0.3773989677429199, 0.5383636951446533, -0.31994593143463135, -0.37666475772857666, 0.35459673404693604, -0.7045289278030396, 0.23818331956863403, 0.1489149034023285, 0.2564769387245178, 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When text is well-structured, written using formal language, with simple sentences, relating to formal topics for which training data is ample, it often produces conversions similar to human translations between English and a number of high-resource languages. Accuracy decreases for those languages when fewer of those conditions apply, for example when sentence length increases or the text uses familiar or literary language. For many other languages vis-\u00e0-vis English, it can produce the gist of text in those formal circumstances. Human evaluation from English to all 102 languages shows that the main idea of a text is conveyed more than 50% of the time for 35 languages. For 67 languages, a minimally comprehensible result is not achieved 50% of the time or greater. A few studies have evaluated Chinese, French, German, and Spanish to English, but no systematic human evaluation has been conducted from most Google Translate languages to English. Speculative language-to-language scores extrapolated from English-to-other measurements indicate that Google Translate will produce translation results that convey the gist of a text from one language to another more than half the time in about 1% of language pairs, where neither language is English. Research conducted in 2011 showed that Google Translate got a slightly higher score than the UCLA minimum score for the English Proficiency Exam. Due to its identical choice of words without considering the flexibility of choosing alternative words or expressions, it produces a relatively similar translation to human translation from the perspective of formality, referential cohesion, and conceptual cohesion. Moreover, a number of languages are translated into a sentence structure and sentence length similar to a human translation. Furthermore, Google carried out a test that required native speakers of each language to rate the translation on a scale between 0 and 6, and Google Translate scored 5.43 on average.", "emb": [0.10045497864484787, 0.25034382939338684, 0.06383683532476425, 0.3913366198539734, 0.04424239695072174, -0.1082315444946289, 0.4609501361846924, -0.34305524826049805, 0.037807077169418335, 0.3129538893699646, -0.30322009325027466, -0.22435921430587769, -0.21220466494560242, -0.1626732349395752, -0.2720171809196472, 0.20236101746559143, 0.37156200408935547, 0.0018475204706192017, 0.21530555188655853, 0.05807608738541603, 0.04708464443683624, 0.46933746337890625, 0.2644733786582947, -0.18963104486465454, -0.2107757329940796, -0.11188969016075134, -0.08113893866539001, 0.18209683895111084, -0.11415320634841919, 0.23897114396095276, 0.5759783387184143, -0.2753291726112366, -0.26558834314346313, 0.3432767987251282, -0.4142919182777405, 0.3013339042663574, 0.3632148802280426, 0.315876841545105, 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Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. Most common English words have at least two senses, which produces 50/50 odds in the likely case that the target language uses different words for those different senses. The odds are similar from other languages to English. Google Translate makes statistical guesses that raise the likelihood of producing the most frequent sense of a word, with the consequence that an accurate translation will be unobtainable in cases that do not match the majority or plurality corpus occurrence. The accuracy of single-word predictions has not been measured for any language. Because almost all non-English language pairs pivot through English, the odds against obtaining accurate single-word translations from one non-English language to another can be estimated by multiplying the number of senses in the source language with the number of senses each of those terms have in English. 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The service limits the number of paragraphs and the range of technical terms that can be translated, and while it can help the reader understand the general content of a foreign language text, it does not always deliver accurate translations, and most times it tends to repeat verbatim the same word it is expected to translate. Grammatically, for example, Google Translate struggles to differentiate between \"imperfect\" and \"perfect\" aspects in Romance languages so habitual and continuous acts in the past often become single \"historical\" events. Although seemingly pedantic, this can often lead to incorrect results (to a native speaker of for example French and Spanish) which would have been avoided by a human translator. Knowledge of the \"subjunctive mood\" is virtually non-existent. Moreover, the formal second person () is often chosen, whatever the context or accepted usage. 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Some languages produce better results than others. Most languages from Africa, Asia, and the Pacific, tend to score poorly in relation to the scores of many well-financed European languages, Afrikaans and Chinese being the high-scoring exceptions from their continents. No languages indigenous to Australia are included within Google Translate. Higher scores for European can be partially attributed to the Europarl Corpus, a trove of documents from the European Parliament that have been professionally translated by the mandate of the European Union into as many as 21 languages. A 2010 analysis indicated that French to English translation is relatively accurate, and 2011 and 2012 analyses showed that Italian to English translation is relatively accurate as well. However, if the source text is shorter, rule-based machine translations often perform better; this effect is particularly evident in Chinese to English translations. While edits of translations may be submitted, in Chinese specifically one cannot edit sentences as a whole. Instead, one must edit sometimes arbitrary sets of characters, leading to incorrect edits. A good example is Russian-to-English. Formerly one would use Google Translate to make a draft and then use a dictionary and common sense to correct the numerous mistakes. As of early 2018 Translate is sufficiently accurate to make the Russian Wikipedia accessible to those who can read English. The quality of Translate can be checked by adding it as an extension to Chrome or Firefox and applying it to the left language links of any Wikipedia article. It can be used as a dictionary by typing in words. One can translate from a book by using a scanner and an OCR like Google Drive, but this takes about five minutes per page.", "emb": [-0.009237885475158691, 0.33098557591438293, -0.038060128688812256, 0.22970163822174072, -0.25480836629867554, -0.14440183341503143, 0.4655766487121582, -0.3943476676940918, -0.07407787442207336, 0.3534853458404541, -0.26146119832992554, -0.3500935137271881, -0.347944974899292, -0.24692827463150024, -0.21465495228767395, 0.24716603755950928, 0.327284574508667, 0.07384233921766281, 0.21295690536499023, 0.093106210231781, -0.11829094588756561, 0.4493718147277832, 0.27572664618492126, -0.137620210647583, -0.22668752074241638, 0.07126544415950775, -0.1116194948554039, 0.2246917486190796, -0.13818728923797607, 0.2370305359363556, 0.5282148122787476, -0.2334049940109253, -0.40367770195007324, 0.2997870445251465, -0.6216570734977722, 0.35553860664367676, 0.09237232059240341, 0.29760807752609253, 0.07893282175064087, 0.16184420883655548, 0.27807265520095825, 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A word in a foreign language might have two different meanings in the translated language. This might lead to mistranslations.", "emb": [-0.048572417348623276, 0.3264625668525696, 0.0617733970284462, 0.43158116936683655, 0.09514298290014267, -0.12383152544498444, 0.7986872792243958, -0.30597081780433655, -0.2750079929828644, 0.45355382561683655, -0.43583419919013977, -0.3133436143398285, -0.06632692366838455, -0.08646798133850098, -0.38005807995796204, 0.11400935798883438, 0.4272022843360901, 0.04580678790807724, 0.14280319213867188, 0.020479947328567505, 0.0015418896218761802, 0.3844573199748993, 0.2625035047531128, -0.1770094484090805, -0.20181235671043396, 0.30857017636299133, -0.029580898582935333, 0.1010897308588028, -0.25744470953941345, 0.22319599986076355, 0.3118908107280731, -0.2148379236459732, -0.4269847273826599, 0.45506688952445984, -0.1701367199420929, 0.2809450328350067, 0.1286853849887848, -0.04935746267437935, 0.2773078978061676, -0.1066742092370987, -0.12350879609584808, 0.4190986752510071, 0.03255743905901909, -0.019051332026720047, 0.436501145362854, 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common terms in the other language, as well as inverting sentence meaning. Novelty websites like Bad Translator and Translation Party have utilized the service to produce humorous text by translating back and forth between multiple languages, similar to the children's game telephone.", "emb": [-0.06670721620321274, 0.34154558181762695, 0.06073642149567604, 0.4961181581020355, -0.035601064562797546, 0.061501216143369675, 0.4521592855453491, -0.289620965719223, -0.2624898850917816, 0.493593692779541, -0.36682429909706116, -0.007562414743006229, -0.008341391570866108, -0.03252703323960304, -0.2088383138179779, 0.28379547595977783, 0.6249891519546509, -0.04026304930448532, 0.31470850110054016, -0.15101486444473267, 0.09830263257026672, 0.6769205927848816, 0.35239630937576294, -0.08236779272556305, -0.010282029397785664, -0.22763371467590332, -0.09653384238481522, 0.2331198751926422, -0.043535266071558, 0.22627699375152588, 0.510594367980957, -0.15593929588794708, -0.4533405005931854, 0.3662419319152832, -0.16975349187850952, 0.2611145079135895, 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in 2022", "url": "https://en.wikipedia.org/wiki?curid=69407798", "text": "The following notable deaths occurred in 2022. Names are reported under the date of death, in alphabetical order. A typical entry reports information in the following sequence:", "chunks": [{"text": "The following notable deaths occurred in 2022. Names are reported under the date of death, in alphabetical order. 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--- a/plugins/mapper-murmur3/src/test/java/org/elasticsearch/index/mapper/murmur3/Murmur3FieldMapperTests.java +++ b/plugins/mapper-murmur3/src/test/java/org/elasticsearch/index/mapper/murmur3/Murmur3FieldMapperTests.java @@ -107,7 +107,8 @@ protected void assertFetch(MapperService mapperService, String field, Object val ValueFetcher nativeFetcher = ft.valueFetcher(searchExecutionContext, format); ParsedDocument doc = mapperService.documentMapper().parse(source); withLuceneIndex(mapperService, iw -> iw.addDocuments(doc.docs()), ir -> { - Source s = SourceProvider.fromStoredFields().getSource(ir.leaves().get(0), 0); + Source s = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) + .getSource(ir.leaves().get(0), 0); docValueFetcher.setNextReader(ir.leaves().get(0)); nativeFetcher.setNextReader(ir.leaves().get(0)); List fromDocValues = docValueFetcher.fetchValues(s, 0, new ArrayList<>()); diff --git a/server/src/main/java/org/elasticsearch/common/xcontent/support/XContentMapValues.java b/server/src/main/java/org/elasticsearch/common/xcontent/support/XContentMapValues.java index 2ef96123e63d8..19cb6b384d96c 100644 --- a/server/src/main/java/org/elasticsearch/common/xcontent/support/XContentMapValues.java +++ b/server/src/main/java/org/elasticsearch/common/xcontent/support/XContentMapValues.java @@ -274,24 +274,8 @@ public static Map filter(Map map, String[] inclu */ public static Function, Map> filter(String[] includes, String[] excludes) { CharacterRunAutomaton matchAllAutomaton = new CharacterRunAutomaton(Automata.makeAnyString()); - - CharacterRunAutomaton include; - if (includes == null || includes.length == 0) { - include = matchAllAutomaton; - } else { - Automaton includeA = Regex.simpleMatchToAutomaton(includes); - includeA = makeMatchDotsInFieldNames(includeA); - include = new CharacterRunAutomaton(includeA, MAX_DETERMINIZED_STATES); - } - - Automaton excludeA; - if (excludes == null || excludes.length == 0) { - excludeA = Automata.makeEmpty(); - } else { - excludeA = Regex.simpleMatchToAutomaton(excludes); - excludeA = makeMatchDotsInFieldNames(excludeA); - } - CharacterRunAutomaton exclude = new CharacterRunAutomaton(excludeA, MAX_DETERMINIZED_STATES); + CharacterRunAutomaton include = compileAutomaton(includes, matchAllAutomaton); + CharacterRunAutomaton exclude = compileAutomaton(excludes, new CharacterRunAutomaton(Automata.makeEmpty())); // NOTE: We cannot use Operations.minus because of the special case that // we want all sub properties to match as soon as an object matches @@ -299,6 +283,15 @@ public static Function, Map> filter(String[] return (map) -> filter(map, include, 0, exclude, 0, matchAllAutomaton); } + public static CharacterRunAutomaton compileAutomaton(String[] patterns, CharacterRunAutomaton defaultValue) { + if (patterns == null || patterns.length == 0) { + return defaultValue; + } + var aut = Regex.simpleMatchToAutomaton(patterns); + aut = makeMatchDotsInFieldNames(aut); + return new CharacterRunAutomaton(aut, MAX_DETERMINIZED_STATES); + } + /** Make matches on objects also match dots in field names. * For instance, if the original simple regex is `foo`, this will translate * it into `foo` OR `foo.*`. */ diff --git a/server/src/main/java/org/elasticsearch/index/get/ShardGetService.java b/server/src/main/java/org/elasticsearch/index/get/ShardGetService.java index 41879c64c3338..8be1b10d9275d 100644 --- a/server/src/main/java/org/elasticsearch/index/get/ShardGetService.java +++ b/server/src/main/java/org/elasticsearch/index/get/ShardGetService.java @@ -307,8 +307,8 @@ private GetResult innerGetFetch( Map metadataFields = null; DocIdAndVersion docIdAndVersion = get.docIdAndVersion(); SourceLoader loader = forceSyntheticSource - ? new SourceLoader.Synthetic(mappingLookup.getMapping()::syntheticFieldLoader, mapperMetrics.sourceFieldMetrics()) - : mappingLookup.newSourceLoader(mapperMetrics.sourceFieldMetrics()); + ? new SourceLoader.Synthetic(() -> mappingLookup.getMapping().syntheticFieldLoader(null), mapperMetrics.sourceFieldMetrics()) + : mappingLookup.newSourceLoader(null, mapperMetrics.sourceFieldMetrics()); StoredFieldLoader storedFieldLoader = buildStoredFieldLoader(storedFields, fetchSourceContext, loader); LeafStoredFieldLoader leafStoredFieldLoader = storedFieldLoader.getLoader(docIdAndVersion.reader.getContext(), null); try { diff --git a/server/src/main/java/org/elasticsearch/index/mapper/DocumentMapper.java b/server/src/main/java/org/elasticsearch/index/mapper/DocumentMapper.java index 10484a1c26098..b7980ecc14e46 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/DocumentMapper.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/DocumentMapper.java @@ -134,7 +134,7 @@ public void validate(IndexSettings settings, boolean checkLimits) { * with the source loading strategy declared on the source field mapper. */ try { - sourceMapper().newSourceLoader(mapping(), mapperMetrics.sourceFieldMetrics()); + sourceMapper().newSourceLoader(null, mapping(), mapperMetrics.sourceFieldMetrics()); } catch (IllegalArgumentException e) { mapperMetrics.sourceFieldMetrics().recordSyntheticSourceIncompatibleMapping(); throw e; diff --git a/server/src/main/java/org/elasticsearch/index/mapper/DocumentParserContext.java b/server/src/main/java/org/elasticsearch/index/mapper/DocumentParserContext.java index c2970d8716147..8b2b58015415d 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/DocumentParserContext.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/DocumentParserContext.java @@ -18,9 +18,11 @@ import org.elasticsearch.index.IndexSettings; import org.elasticsearch.index.analysis.IndexAnalyzers; import org.elasticsearch.index.mapper.MapperService.MergeReason; +import org.elasticsearch.search.builder.SearchSourceBuilder; import org.elasticsearch.xcontent.FilterXContentParserWrapper; import org.elasticsearch.xcontent.FlatteningXContentParser; import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.XContentLocation; import org.elasticsearch.xcontent.XContentParser; import java.io.IOException; @@ -38,6 +40,8 @@ * the lucene data structures and mappings to be dynamically created as the outcome of parsing a document. */ public abstract class DocumentParserContext { + public record XContentPatch(String fullPath, XContentLocation location, int id) {} + /** * Wraps a given context while allowing to override some of its behaviour by re-implementing some of the non final methods */ @@ -131,6 +135,7 @@ public int get() { * in this document and therefore is not present in mapping yet. */ private final Set copyToFields; + private final Map sourcePatches; // Indicates if the source for this context has been marked to be recorded. Applies to synthetic source only. private boolean recordedSource; @@ -155,6 +160,7 @@ private DocumentParserContext( Set fieldsAppliedFromTemplates, Set copyToFields, DynamicMapperSize dynamicMapperSize, + Map sourcePatches, boolean recordedSource ) { this.mappingLookup = mappingLookup; @@ -176,6 +182,7 @@ private DocumentParserContext( this.fieldsAppliedFromTemplates = fieldsAppliedFromTemplates; this.copyToFields = copyToFields; this.dynamicMappersSize = dynamicMapperSize; + this.sourcePatches = sourcePatches; this.recordedSource = recordedSource; } @@ -200,6 +207,7 @@ private DocumentParserContext(ObjectMapper parent, ObjectMapper.Dynamic dynamic, in.fieldsAppliedFromTemplates, in.copyToFields, in.dynamicMappersSize, + in.sourcePatches, in.recordedSource ); } @@ -231,6 +239,7 @@ protected DocumentParserContext( new HashSet<>(), new HashSet<>(mappingLookup.fieldTypesLookup().getCopyToDestinationFields()), new DynamicMapperSize(), + new HashMap<>(), false ); } @@ -387,6 +396,36 @@ public final void addToFieldNames(String field) { } } + /** + * Registers a patch for a specific field at a given location in the original source. + * The patch modifies the field value in the original `_source` by replacing it with a numerical ID, + * which is then stored in a document field accessible via {@link SearchSourceBuilder#equals(Object)}. + * + * The original field value must still be retrievable when the original `_source` is requested. + * This responsibility lies with the {@link FieldMapper}, ensuring that the patched field can provide + * the original value during retrieval. + * + * Note: Only one patch per field is permitted for each document. + * + * @param fieldMapper The {@link FieldMapper} responsible for applying the patch to the field. + * @param xContentLocation The {@link XContentLocation} representing the location of the field in the original source. + */ + public void addSourceFieldPatch(FieldMapper fieldMapper, XContentLocation xContentLocation) { + var sourceFieldMapper = (SourceFieldMapper) getMetadataMapper(SourceFieldMapper.NAME); + if (sourceFieldMapper == null) { + return; + } + sourceFieldMapper.indexFieldPatch(doc(), fieldMapper, xContentLocation, getSourcePatches()); + } + + /** + * Returns all {@link XContentPatch} currently registered in this context, + * mapped by their {@link XContentLocation} in the original `_source`. + */ + public Map getSourcePatches() { + return sourcePatches; + } + public final Field version() { return this.version; } diff --git a/server/src/main/java/org/elasticsearch/index/mapper/Mapper.java b/server/src/main/java/org/elasticsearch/index/mapper/Mapper.java index d88bdf6e50615..8d0383920af19 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/Mapper.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/Mapper.java @@ -18,6 +18,7 @@ import org.elasticsearch.index.IndexVersions; import org.elasticsearch.xcontent.ToXContentFragment; import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.XContentLocation; import java.io.IOException; import java.util.Arrays; @@ -175,6 +176,16 @@ public SourceLoader.SyntheticFieldLoader syntheticFieldLoader() { throw new IllegalArgumentException("field [" + fullPath() + "] of type [" + typeName() + "] doesn't support synthetic source"); } + /** + * Creates a {@link SourceLoader.PatchFieldLoader} to load patches that were previously indexed + * with {@link DocumentParserContext#addSourceFieldPatch(FieldMapper, XContentLocation)}. + * + * Returns {@code null} if the field doesn't allow patching. + */ + protected SourceLoader.PatchFieldLoader patchFieldLoader() { + return null; + } + @Override public String toString() { return Strings.toString(this); diff --git a/server/src/main/java/org/elasticsearch/index/mapper/Mapping.java b/server/src/main/java/org/elasticsearch/index/mapper/Mapping.java index 52bc48004ccda..ddad2168815eb 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/Mapping.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/Mapping.java @@ -14,6 +14,7 @@ import org.elasticsearch.common.compress.CompressedXContent; import org.elasticsearch.common.xcontent.XContentHelper; import org.elasticsearch.index.mapper.MapperService.MergeReason; +import org.elasticsearch.search.lookup.SourceFilter; import org.elasticsearch.xcontent.ToXContentFragment; import org.elasticsearch.xcontent.XContentBuilder; @@ -126,9 +127,13 @@ private boolean isSourceSynthetic() { return sfm != null && sfm.isSynthetic(); } - public SourceLoader.SyntheticFieldLoader syntheticFieldLoader() { + public SourceLoader.SyntheticFieldLoader syntheticFieldLoader(SourceFilter sourceFilter) { var stream = Stream.concat(Stream.of(metadataMappers), root.mappers.values().stream()); - return root.syntheticFieldLoader(stream); + return root.syntheticFieldLoader(sourceFilter, stream, false); + } + + protected SourceLoader.PatchFieldLoader patchFieldLoader(SourceFilter sourceFilter) { + return root.patchFieldLoader(sourceFilter); } /** diff --git a/server/src/main/java/org/elasticsearch/index/mapper/MappingLookup.java b/server/src/main/java/org/elasticsearch/index/mapper/MappingLookup.java index 2f78e11761448..8956527a4e2a4 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/MappingLookup.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/MappingLookup.java @@ -16,6 +16,7 @@ import org.elasticsearch.index.analysis.IndexAnalyzers; import org.elasticsearch.index.analysis.NamedAnalyzer; import org.elasticsearch.inference.InferenceService; +import org.elasticsearch.search.lookup.SourceFilter; import java.util.ArrayList; import java.util.Collection; @@ -497,9 +498,9 @@ public boolean isSourceSynthetic() { /** * Build something to load source {@code _source}. */ - public SourceLoader newSourceLoader(SourceFieldMetrics metrics) { + public SourceLoader newSourceLoader(SourceFilter sourceFilter, SourceFieldMetrics metrics) { SourceFieldMapper sfm = mapping.getMetadataMapperByClass(SourceFieldMapper.class); - return sfm == null ? SourceLoader.FROM_STORED_SOURCE : sfm.newSourceLoader(mapping, metrics); + return sfm == null ? SourceLoader.FROM_STORED_SOURCE : sfm.newSourceLoader(sourceFilter, mapping, metrics); } /** diff --git a/server/src/main/java/org/elasticsearch/index/mapper/NestedObjectMapper.java b/server/src/main/java/org/elasticsearch/index/mapper/NestedObjectMapper.java index fc5f28dd51c9d..6c54fbac633c6 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/NestedObjectMapper.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/NestedObjectMapper.java @@ -10,6 +10,7 @@ package org.elasticsearch.index.mapper; import org.apache.lucene.index.LeafReader; +import org.apache.lucene.search.CheckedIntConsumer; import org.apache.lucene.search.DocIdSetIterator; import org.apache.lucene.search.IndexSearcher; import org.apache.lucene.search.Query; @@ -23,6 +24,7 @@ import org.elasticsearch.index.IndexVersion; import org.elasticsearch.index.IndexVersions; import org.elasticsearch.index.fieldvisitor.LeafStoredFieldLoader; +import org.elasticsearch.search.lookup.SourceFilter; import org.elasticsearch.xcontent.XContentBuilder; import java.io.IOException; @@ -392,13 +394,45 @@ protected MapperMergeContext createChildContext(MapperMergeContext mapperMergeCo } @Override - public SourceLoader.SyntheticFieldLoader syntheticFieldLoader() { + protected SourceLoader.PatchFieldLoader patchFieldLoader(SourceFilter sourceFilter) { + var patchLoader = super.patchFieldLoader(sourceFilter); + if (patchLoader == null) { + return null; + } + return context -> { + var patchFieldLoader = patchLoader.leaf(context); + if (patchFieldLoader == null) { + return null; + } + IndexSearcher searcher = new IndexSearcher(context.reader()); + searcher.setQueryCache(null); + var childScorer = searcher.createWeight(nestedTypeFilter, ScoreMode.COMPLETE_NO_SCORES, 1f).scorer(context); + var parentsDocs = bitsetProducer.apply(parentTypeFilter).getBitSet(context); + return (doc, acc) -> { + collectChildren(nestedTypePath, doc, parentsDocs, childScorer.iterator(), child -> patchFieldLoader.load(child, acc)); + }; + }; + } + + @Override + protected SourceLoader.PatchFieldLoader patchFieldLoader() { + return patchFieldLoader(null); + } + + @Override + protected SourceLoader.SyntheticFieldLoader syntheticFieldLoader(SourceFilter sourceFilter) { if (storeArraySource()) { // IgnoredSourceFieldMapper integration takes care of writing the source for nested objects that enabled store_array_source. return SourceLoader.SyntheticFieldLoader.NOTHING; } - - SourceLoader sourceLoader = new SourceLoader.Synthetic(() -> super.syntheticFieldLoader(mappers.values().stream(), true), NOOP); + var fieldLoader = super.syntheticFieldLoader(sourceFilter, mappers.values().stream(), true); + if (fieldLoader == SourceLoader.SyntheticFieldLoader.NOTHING) { + return SourceLoader.SyntheticFieldLoader.NOTHING; + } + SourceLoader sourceLoader = new SourceLoader.Synthetic( + () -> super.syntheticFieldLoader(sourceFilter, mappers.values().stream(), true), + NOOP + ); // Some synthetic source use cases require using _ignored_source field var requiredStoredFields = IgnoredSourceFieldMapper.ensureLoaded(sourceLoader.requiredStoredFields(), indexSettings); var storedFieldLoader = org.elasticsearch.index.fieldvisitor.StoredFieldLoader.create(false, requiredStoredFields); @@ -444,7 +478,8 @@ public DocValuesLoader docValuesLoader(LeafReader leafReader, int[] docIdsInLeaf if (childScorer != null) { var parentDocs = parentBitSetProducer.get().getBitSet(leafReader.getContext()); return parentDoc -> { - collectChildren(parentDoc, parentDocs, childScorer.iterator()); + children.clear(); + collectChildren(nestedTypePath, parentDoc, parentDocs, childScorer.iterator(), child -> children.add(child)); return children.size() > 0; }; } else { @@ -452,21 +487,6 @@ public DocValuesLoader docValuesLoader(LeafReader leafReader, int[] docIdsInLeaf } } - private List collectChildren(int parentDoc, BitSet parentDocs, DocIdSetIterator childIt) throws IOException { - assert parentDoc < 0 || parentDocs.get(parentDoc) : "wrong context, doc " + parentDoc + " is not a parent of " + nestedTypePath; - final int prevParentDoc = parentDoc > 0 ? parentDocs.prevSetBit(parentDoc - 1) : -1; - int childDocId = childIt.docID(); - if (childDocId <= prevParentDoc) { - childDocId = childIt.advance(prevParentDoc + 1); - } - - children.clear(); - for (; childDocId < parentDoc; childDocId = childIt.nextDoc()) { - children.add(childDocId); - } - return children; - } - @Override public boolean hasValue() { return children.size() > 0; @@ -494,4 +514,24 @@ public String fieldName() { return NestedObjectMapper.this.fullPath(); } } + + private static void collectChildren( + String nestedTypePath, + int parentDoc, + BitSet parentDocs, + DocIdSetIterator childIt, + CheckedIntConsumer childConsumer + ) throws IOException { + assert parentDoc < 0 || parentDocs.get(parentDoc) : "wrong context, doc " + parentDoc + " is not a parent of " + nestedTypePath; + final int prevParentDoc = parentDoc > 0 ? parentDocs.prevSetBit(parentDoc - 1) : -1; + int childDocId = childIt.docID(); + if (childDocId <= prevParentDoc) { + childDocId = childIt.advance(prevParentDoc + 1); + } + + for (; childDocId < parentDoc; childDocId = childIt.nextDoc()) { + childConsumer.accept(childDocId); + } + } + } diff --git a/server/src/main/java/org/elasticsearch/index/mapper/ObjectMapper.java b/server/src/main/java/org/elasticsearch/index/mapper/ObjectMapper.java index f9c854749e885..9c968c3e77b97 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/ObjectMapper.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/ObjectMapper.java @@ -21,6 +21,7 @@ import org.elasticsearch.index.IndexVersion; import org.elasticsearch.index.IndexVersions; import org.elasticsearch.index.mapper.MapperService.MergeReason; +import org.elasticsearch.search.lookup.SourceFilter; import org.elasticsearch.xcontent.ToXContent; import org.elasticsearch.xcontent.XContentBuilder; @@ -37,6 +38,7 @@ import java.util.Objects; import java.util.Optional; import java.util.TreeMap; +import java.util.stream.Collectors; import java.util.stream.Stream; public class ObjectMapper extends Mapper { @@ -808,6 +810,59 @@ protected void doXContent(XContentBuilder builder, Params params) throws IOExcep } + private static SourceLoader.PatchFieldLoader createPatchField(Mapper mapper, SourceFilter sourceFilter) { + if (sourceFilter != null && sourceFilter.shouldFilter(mapper.fullPath())) { + return null; + } + if (mapper instanceof ObjectMapper objMapper) { + return objMapper.patchFieldLoader(sourceFilter); + } + return mapper.patchFieldLoader(); + } + + protected SourceLoader.PatchFieldLoader patchFieldLoader(SourceFilter sourceFilter) { + var loaders = mappers.values() + .stream() + .map(m -> createPatchField(m, sourceFilter)) + .filter(l -> l != null) + .collect(Collectors.toList()); + if (loaders.isEmpty()) { + return null; + } + return context -> { + final List leaves = new ArrayList<>(); + for (var loader : loaders) { + var leaf = loader.leaf(context); + if (leaf != null) { + leaves.add(leaf); + } + } + if (leaves.isEmpty()) { + return null; + } + return (doc, acc) -> { + for (var leaf : leaves) { + leaf.load(doc, acc); + } + }; + }; + } + + @Override + protected SourceLoader.PatchFieldLoader patchFieldLoader() { + return patchFieldLoader(null); + } + + private static SourceLoader.SyntheticFieldLoader createSyntheticField(Mapper mapper, SourceFilter sourceFilter) { + if (sourceFilter != null && sourceFilter.shouldFilter(mapper.fullPath())) { + return SourceLoader.SyntheticFieldLoader.NOTHING; + } + if (mapper instanceof ObjectMapper objMapper) { + return objMapper.syntheticFieldLoader(sourceFilter); + } + return mapper.syntheticFieldLoader(); + } + ObjectMapper findParentMapper(String leafFieldPath) { var pathComponents = leafFieldPath.split("\\."); int startPathComponent = 0; @@ -844,21 +899,32 @@ ObjectMapper findParentMapper(String leafFieldPath) { return null; } - protected SourceLoader.SyntheticFieldLoader syntheticFieldLoader(Stream mappers, boolean isFragment) { + protected SourceLoader.SyntheticFieldLoader syntheticFieldLoader( + SourceFilter sourceFilter, + Stream mappers, + boolean isFragment + ) { var fields = mappers.sorted(Comparator.comparing(Mapper::fullPath)) - .map(Mapper::syntheticFieldLoader) + .map(m -> createSyntheticField(m, sourceFilter)) .filter(l -> l != SourceLoader.SyntheticFieldLoader.NOTHING) .toList(); + if (fields.isEmpty()) { + return SourceLoader.SyntheticFieldLoader.NOTHING; + } return new SyntheticSourceFieldLoader(fields, isFragment); } public SourceLoader.SyntheticFieldLoader syntheticFieldLoader(Stream mappers) { - return syntheticFieldLoader(mappers, false); + return syntheticFieldLoader(null, mappers, false); + } + + protected SourceLoader.SyntheticFieldLoader syntheticFieldLoader(SourceFilter sourceFilter) { + return syntheticFieldLoader(sourceFilter, mappers.values().stream(), false); } @Override public SourceLoader.SyntheticFieldLoader syntheticFieldLoader() { - return syntheticFieldLoader(mappers.values().stream()); + return syntheticFieldLoader(null, mappers.values().stream(), false); } private class SyntheticSourceFieldLoader implements SourceLoader.SyntheticFieldLoader { diff --git a/server/src/main/java/org/elasticsearch/index/mapper/PatchSourceUtils.java b/server/src/main/java/org/elasticsearch/index/mapper/PatchSourceUtils.java new file mode 100644 index 0000000000000..760cce12dc45b --- /dev/null +++ b/server/src/main/java/org/elasticsearch/index/mapper/PatchSourceUtils.java @@ -0,0 +1,88 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the "Elastic License + * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side + * Public License v 1"; you may not use this file except in compliance with, at + * your election, the "Elastic License 2.0", the "GNU Affero General Public + * License v3.0 only", or the "Server Side Public License, v 1". + */ + +package org.elasticsearch.index.mapper; + +import org.elasticsearch.common.bytes.BytesReference; +import org.elasticsearch.common.io.stream.BytesStreamOutput; +import org.elasticsearch.common.xcontent.XContentHelper; +import org.elasticsearch.xcontent.XContent; +import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.XContentGenerator; +import org.elasticsearch.xcontent.XContentParser; +import org.elasticsearch.xcontent.XContentParserConfiguration; + +import java.io.IOException; +import java.util.Set; + +public class PatchSourceUtils { + public interface CheckedTriConsumer { + void apply(S s, T t, U u) throws IOException; + } + + /** + * Parses the given {@code source} and returns a new version with all values referenced by the + * provided {@code patchFullPaths} replaced using the {@code patchApply} consumer. + */ + public static BytesReference patchSource( + BytesReference source, + XContent xContent, + Set patchFullPaths, + CheckedTriConsumer patchApply + ) throws IOException { + BytesStreamOutput streamOutput = new BytesStreamOutput(); + XContentBuilder builder = new XContentBuilder(xContent, streamOutput); + try (XContentParser parser = XContentHelper.createParserNotCompressed(XContentParserConfiguration.EMPTY, source, xContent.type())) { + if ((parser.currentToken() == null) && (parser.nextToken() == null)) { + return source; + } + parseAndPatchSource(builder.generator(), parser, "", patchFullPaths, patchApply); + return BytesReference.bytes(builder); + } + } + + private static void parseAndPatchSource( + XContentGenerator destination, + XContentParser parser, + String fullPath, + Set patchFullPaths, + CheckedTriConsumer patchApply + ) throws IOException { + XContentParser.Token token = parser.currentToken(); + if (token == XContentParser.Token.FIELD_NAME) { + String fieldName = parser.currentName(); + destination.writeFieldName(fieldName); + token = parser.nextToken(); + fullPath = fullPath + (fullPath.isEmpty() ? "" : ".") + fieldName; + if (patchFullPaths.contains(fullPath)) { + patchApply.apply(fullPath, parser, destination); + return; + } + } + + switch (token) { + case START_ARRAY -> { + destination.writeStartArray(); + while (parser.nextToken() != XContentParser.Token.END_ARRAY) { + parseAndPatchSource(destination, parser, fullPath, patchFullPaths, patchApply); + } + destination.writeEndArray(); + } + case START_OBJECT -> { + destination.writeStartObject(); + while (parser.nextToken() != XContentParser.Token.END_OBJECT) { + parseAndPatchSource(destination, parser, fullPath, patchFullPaths, patchApply); + } + destination.writeEndObject(); + } + default -> // others are simple: + destination.copyCurrentEvent(parser); + } + } +} diff --git a/server/src/main/java/org/elasticsearch/index/mapper/SourceFieldMapper.java b/server/src/main/java/org/elasticsearch/index/mapper/SourceFieldMapper.java index 118cdbffc5db9..a4d09966c87e3 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/SourceFieldMapper.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/SourceFieldMapper.java @@ -28,6 +28,8 @@ import org.elasticsearch.index.query.SearchExecutionContext; import org.elasticsearch.search.lookup.Source; import org.elasticsearch.search.lookup.SourceFilter; +import org.elasticsearch.xcontent.XContent; +import org.elasticsearch.xcontent.XContentLocation; import org.elasticsearch.xcontent.XContentType; import java.io.IOException; @@ -36,7 +38,10 @@ import java.util.Collections; import java.util.List; import java.util.Locale; +import java.util.Map; +import java.util.stream.Collectors; +import static org.elasticsearch.index.mapper.DocumentParserContext.XContentPatch; import static org.elasticsearch.indices.recovery.RecoverySettings.INDICES_RECOVERY_SOURCE_ENABLED_SETTING; public class SourceFieldMapper extends MetadataFieldMapper { @@ -53,6 +58,7 @@ public class SourceFieldMapper extends MetadataFieldMapper { ); public static final String NAME = "_source"; + public static final String PATCH_NAME = "_source_patch"; public static final String RECOVERY_SOURCE_NAME = "_recovery_source"; public static final String CONTENT_TYPE = "_source"; @@ -414,20 +420,22 @@ public boolean isComplete() { } @Override - public void preParse(DocumentParserContext context) throws IOException { + public void postParse(DocumentParserContext context) throws IOException { BytesReference originalSource = context.sourceToParse().source(); XContentType contentType = context.sourceToParse().getXContentType(); - final BytesReference adaptedSource = applyFilters(originalSource, contentType); + // Apply patches before source filters, as filters may alter the original positions of the registered patches. + final BytesReference patchSource = applyPatches(originalSource, contentType.xContent(), context.getSourcePatches()); + final BytesReference adaptedSource = applyFilters(patchSource, contentType); if (adaptedSource != null) { assert context.indexSettings().getIndexVersionCreated().before(IndexVersions.V_8_7_0) || indexMode == null || indexMode.isSyntheticSourceEnabled() == false; - final BytesRef ref = adaptedSource.toBytesRef(); + BytesRef ref = adaptedSource.toBytesRef(); context.doc().add(new StoredField(fieldType().name(), ref.bytes, ref.offset, ref.length)); } - if (enableRecoverySource && originalSource != null && adaptedSource != originalSource) { + if (enableRecoverySource && originalSource != null && adaptedSource != patchSource) { // if we omitted source or modified it we add the _recovery_source to ensure we have it for ops based recovery BytesRef ref = originalSource.toBytesRef(); context.doc().add(new StoredField(RECOVERY_SOURCE_NAME, ref.bytes, ref.offset, ref.length)); @@ -461,14 +469,99 @@ public FieldMapper.Builder getMergeBuilder() { /** * Build something to load source {@code _source}. */ - public SourceLoader newSourceLoader(Mapping mapping, SourceFieldMetrics metrics) { + public SourceLoader newSourceLoader(SourceFilter sourceFilter, Mapping mapping, SourceFieldMetrics metrics) { if (mode == Mode.SYNTHETIC) { - return new SourceLoader.Synthetic(mapping::syntheticFieldLoader, metrics); + return new SourceLoader.Synthetic(() -> mapping.syntheticFieldLoader(sourceFilter), metrics); } - return SourceLoader.FROM_STORED_SOURCE; + var patchLoader = mapping.patchFieldLoader(sourceFilter); + return patchLoader == null + ? sourceFilter == null ? SourceLoader.FROM_STORED_SOURCE : new SourceLoader.Stored(sourceFilter) + : new SourceLoader.PatchSourceLoader(sourceFilter, patchLoader); } public boolean isSynthetic() { return mode == Mode.SYNTHETIC; } + + /** + * Retrieves the name of the numeric doc-value field used to store the patch reference + * ID for the specified fullPath. + */ + public static String getPatchFieldName(String fullPath) { + return PATCH_NAME + "." + fullPath; + } + + /** + * Verifies and indexes a patch for a specific field in the document. + * + * Ensures only one patch is applied per field per document. If valid, a numeric doc-value field + * is added to reference the patch in the modified source. + * + * The numeric value acts as a unique reference to the patch. The reference field's name + * can be retrieved using {@link #getPatchFieldName(String)}. + */ + public void indexFieldPatch( + LuceneDocument doc, + FieldMapper fieldMapper, + XContentLocation location, + Map acc + ) { + if (enabled() == false || stored() == false) { + return; + } + + if (isSynthetic()) { + throw new IllegalArgumentException( + "Patching the field [" + + fieldMapper.leafName() + + "] in the original source is not allowed when synthetic source is enabled." + ); + } + + if (sourceFilter != null && sourceFilter.shouldFilter(fieldMapper.fullPath())) { + return; + } + int id = acc.size(); + var patch = new XContentPatch(fieldMapper.fullPath(), location, id); + if (acc.put(location, patch) != null) { + throw new IllegalArgumentException( + "Field [" + fieldMapper.fullPath() + "] does not support patching the same location [" + location + "] more than once." + ); + } + String patchFieldName = getPatchFieldName(fieldMapper.fullPath()); + if (doc.getByKey(patchFieldName) != null) { + throw new IllegalArgumentException( + "Field [" + patch.fullPath() + "] does not support patching multiple values for the same field in a single document." + ); + } + doc.addWithKey(patchFieldName, new NumericDocValuesField(patchFieldName, patch.id())); + } + + /** + * Applies the provided patches to the given source, replacing each {@link XContentPatch#fullPath()} with a numeric value. + * + * Throws an {@link IllegalArgumentException} if a patch is applied at a location that doesn't match + * its {@link XContentPatch#fullPath()}, or if no patch is registered at the specified location. + */ + static BytesReference applyPatches(BytesReference source, XContent xContent, Map patches) + throws IOException { + if (patches.isEmpty()) { + return source; + } + var patchFields = patches.values().stream().map(p -> p.fullPath()).collect(Collectors.toSet()); + var res = PatchSourceUtils.patchSource(source, xContent, patchFields, (fullPath, parser, dest) -> { + var patch = patches.remove(parser.getTokenLocation()); + if (patch == null) { + throw new IllegalArgumentException( + "Registered patch not found at location: [" + parser.getTokenLocation() + "] for path: [" + fullPath + "]." + ); + } + dest.writeNumber(patch.id()); + parser.skipChildren(); + }); + if (patches.size() > 0) { + throw new IllegalArgumentException("Unable to apply all patches: " + patches.values()); + } + return res; + } } diff --git a/server/src/main/java/org/elasticsearch/index/mapper/SourceLoader.java b/server/src/main/java/org/elasticsearch/index/mapper/SourceLoader.java index ec255a53e7c5a..4d528d6bd34c2 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/SourceLoader.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/SourceLoader.java @@ -10,16 +10,25 @@ package org.elasticsearch.index.mapper; import org.apache.lucene.index.LeafReader; +import org.apache.lucene.index.LeafReaderContext; import org.elasticsearch.common.bytes.BytesReference; +import org.elasticsearch.common.xcontent.XContentParserUtils; +import org.elasticsearch.core.CheckedConsumer; import org.elasticsearch.core.TimeValue; import org.elasticsearch.index.fieldvisitor.LeafStoredFieldLoader; import org.elasticsearch.search.lookup.Source; +import org.elasticsearch.search.lookup.SourceFilter; import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.XContentGenerator; +import org.elasticsearch.xcontent.XContentLocation; +import org.elasticsearch.xcontent.XContentParser; import org.elasticsearch.xcontent.json.JsonXContent; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.util.ArrayList; +import java.util.Arrays; +import java.util.Comparator; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -32,6 +41,8 @@ * Loads source {@code _source} during a GET or {@code _search}. */ public interface SourceLoader { + record Patch(String fullPath, int id, CheckedConsumer apply) {} + /** * Does this {@link SourceLoader} reorder field values? */ @@ -71,7 +82,15 @@ interface Leaf { /** * Load {@code _source} from a stored field. */ - SourceLoader FROM_STORED_SOURCE = new SourceLoader() { + SourceLoader FROM_STORED_SOURCE = new Stored(null); + + class Stored implements SourceLoader { + final SourceFilter sourceFilter; + + Stored(SourceFilter sourceFilter) { + this.sourceFilter = sourceFilter; + } + @Override public boolean reordersFieldValues() { return false; @@ -82,7 +101,8 @@ public Leaf leaf(LeafReader reader, int[] docIdsInLeaf) { return new Leaf() { @Override public Source source(LeafStoredFieldLoader storedFields, int docId) throws IOException { - return Source.fromBytes(storedFields.source()); + var res = Source.fromBytes(storedFields.source()); + return sourceFilter == null ? res : sourceFilter.filterBytes(res); } @Override @@ -97,7 +117,7 @@ public void write(LeafStoredFieldLoader storedFields, int docId, XContentBuilder public Set requiredStoredFields() { return Set.of(); } - }; + } /** * Reconstructs {@code _source} from doc values anf stored fields. @@ -222,6 +242,94 @@ public void write(LeafStoredFieldLoader storedFieldLoader, int docId, XContentBu } } + /** + * Retrieves the {@code _source} from the stored fields and applies all {@link Patch} instances + * indexed via {@link DocumentParserContext#addSourceFieldPatch(FieldMapper, XContentLocation)} during indexing. + * Replaces all patch references in the retrieved {@code _source} with their actual values using the + * {@link PatchFieldLoader}. + */ + class PatchSourceLoader implements SourceLoader { + final SourceFilter sourceFilter; + final PatchFieldLoader field; + + public PatchSourceLoader(SourceFilter sourceFilter, PatchFieldLoader field) { + this.sourceFilter = sourceFilter; + this.field = field; + } + + @Override + public boolean reordersFieldValues() { + return false; + } + + @Override + public Set requiredStoredFields() { + return FROM_STORED_SOURCE.requiredStoredFields(); + } + + @Override + public Leaf leaf(LeafReader reader, int[] docIdsInLeaf) throws IOException { + var sourceLeaf = FROM_STORED_SOURCE.leaf(reader, docIdsInLeaf); + var patchLeaf = field.leaf(reader.getContext()); + return new Leaf() { + @Override + public Source source(LeafStoredFieldLoader storedFields, int docId) throws IOException { + Source source = sourceLeaf.source(storedFields, docId); + if (patchLeaf == null) { + return sourceFilter == null ? source : sourceFilter.filterBytes(source); + } + List patches = new ArrayList<>(); + patchLeaf.load(docId, patches); + var finalPatches = verifyPatches(patches, docId); + if (finalPatches.length == 0) { + return sourceFilter == null ? source : sourceFilter.filterBytes(source); + } + var patchSource = Source.fromBytes( + PatchSourceUtils.patchSource( + sourceFilter == null ? source.internalSourceRef() : sourceFilter.filterBytes(source).internalSourceRef(), + source.sourceContentType().xContent(), + patches.stream().map(p -> p.fullPath()).collect(Collectors.toSet()), + (fullPath, parser, destination) -> { + XContentParserUtils.ensureExpectedToken(XContentParser.Token.VALUE_NUMBER, parser.currentToken(), parser); + int id = parser.intValue(); + if (id > finalPatches.length) { + throw new IOException("Patch " + id + " not found for path " + fullPath); + } + var patch = finalPatches[id]; + if (patch == null || patch.fullPath.equals(fullPath) == false) { + throw new IOException("No patch found for path " + fullPath); + } + finalPatches[id] = null; + patch.apply.accept(destination); + } + ), + source.sourceContentType() + ); + List nonConsumed = Arrays.stream(finalPatches).filter(p -> p != null).collect(Collectors.toList()); + if (nonConsumed.size() > 0) { + throw new IOException("Some patches were not processed: " + nonConsumed); + } + return patchSource; + } + + @Override + public void write(LeafStoredFieldLoader storedFields, int docId, XContentBuilder b) throws IOException { + throw new IllegalStateException("This operation is not allowed in the current context"); + } + }; + } + + private static Patch[] verifyPatches(List patches, int docId) throws IOException { + Patch[] ordered = patches.stream().sorted(Comparator.comparingInt(Patch::id)).toArray(Patch[]::new); + for (int i = 0; i < ordered.length; i++) { + if (ordered[i].id() != i) { + throw new IOException("Registered patch " + i + " missing for document ID: " + docId); + } + } + return ordered; + } + } + /** * Load a field for {@link Synthetic}. *

@@ -322,6 +430,10 @@ default void prepare() { */ void write(XContentBuilder b) throws IOException; + default CheckedConsumer valueWriter() throws IOException { + throw new IllegalStateException("Should not be called"); + } + /** * Allows for identifying and tracking additional field values to include in the field source. * @param objectsWithIgnoredFields maps object names to lists of fields they contain with special source handling @@ -367,6 +479,25 @@ interface DocValuesLoader { } } + /** + * Per-field loader that retrieves {@link Patch} references and their original values, as indexed by + * {@link SourceFieldMapper#indexFieldPatch(LuceneDocument, FieldMapper, XContentLocation, Map)}. + */ + interface PatchFieldLoader { + /** + * Returns a leaf loader if the provided context contains patches for the specified field; + * returns null otherwise. + */ + PatchFieldLoader.Leaf leaf(LeafReaderContext context) throws IOException; + + interface Leaf { + /** + * Loads all patches associated with the provided document into the specified {@code acc} list. + */ + void load(int doc, List acc) throws IOException; + } + } + /** * Synthetic field loader that uses only doc values to load synthetic source values. */ @@ -382,4 +513,39 @@ public void reset() { // since DocValuesLoader#advanceToDoc will reset the state anyway. } } + + /** + * A patch field loader that utilizes a {@link SyntheticFieldLoader} to fetch the original patched value. + */ + class SyntheticPatchFieldLoader implements PatchFieldLoader { + private final SyntheticFieldLoader syntheticField; + + public SyntheticPatchFieldLoader(SyntheticFieldLoader syntheticFieldLoader) { + this.syntheticField = syntheticFieldLoader; + } + + @Override + public Leaf leaf(LeafReaderContext context) throws IOException { + var patchLoader = context.reader().getNumericDocValues(SourceFieldMapper.getPatchFieldName(syntheticField.fieldName())); + if (patchLoader == null) { + return null; + } + var fieldLoader = syntheticField.docValuesLoader(context.reader(), null); + return (doc, acc) -> { + if (patchLoader.advanceExact(doc) == false) { + return; + } + int patch = (int) patchLoader.longValue(); + if (fieldLoader == null) { + throw new IOException("Missing value for patch field [" + syntheticField.fieldName() + "] in doc [" + doc + "]"); + } + fieldLoader.advanceToDoc(doc); + if (syntheticField.hasValue()) { + acc.add(new Patch(syntheticField.fieldName(), patch, syntheticField.valueWriter())); + } else { + throw new IOException("Missing value for patch field [" + syntheticField.fieldName() + "] in doc [" + doc + "]"); + } + }; + } + } } diff --git a/server/src/main/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapper.java b/server/src/main/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapper.java index 4adfe619ca4e1..2bea0f21eb7dd 100644 --- a/server/src/main/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapper.java +++ b/server/src/main/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapper.java @@ -37,6 +37,7 @@ import org.apache.lucene.util.VectorUtil; import org.elasticsearch.common.ParsingException; import org.elasticsearch.common.xcontent.support.XContentMapValues; +import org.elasticsearch.core.CheckedConsumer; import org.elasticsearch.features.NodeFeature; import org.elasticsearch.index.IndexVersion; import org.elasticsearch.index.IndexVersions; @@ -71,6 +72,7 @@ import org.elasticsearch.search.vectors.VectorSimilarityQuery; import org.elasticsearch.xcontent.ToXContent; import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.XContentGenerator; import org.elasticsearch.xcontent.XContentParser; import org.elasticsearch.xcontent.XContentParser.Token; @@ -165,6 +167,8 @@ public static class Builder extends FieldMapper.Builder { return dims; }, m -> toType(m).fieldType().dims, XContentBuilder::field, Object::toString).setSerializerCheck((id, ic, v) -> v != null) .setMergeValidator((previous, current, c) -> previous == null || Objects.equals(previous, current)); + + private final Parameter patchSource; private final Parameter similarity; private final Parameter indexOptions; @@ -179,6 +183,7 @@ public Builder(String name, IndexVersion indexVersionCreated) { this.indexVersionCreated = indexVersionCreated; final boolean indexedByDefault = indexVersionCreated.onOrAfter(INDEXED_BY_DEFAULT_INDEX_VERSION); final boolean defaultInt8Hnsw = indexVersionCreated.onOrAfter(DEFAULT_DENSE_VECTOR_TO_INT8_HNSW); + this.patchSource = Parameter.boolParam("patch_source", true, m -> toType(m).patchSource, false); this.indexed = Parameter.indexParam(m -> toType(m).fieldType().indexed, indexedByDefault); if (indexedByDefault) { // Only serialize on newer index versions to prevent breaking existing indices when upgrading @@ -263,7 +268,7 @@ public Builder(String name, IndexVersion indexVersionCreated) { @Override protected Parameter[] getParameters() { - return new Parameter[] { elementType, dims, indexed, similarity, indexOptions, meta }; + return new Parameter[] { elementType, dims, indexed, similarity, indexOptions, meta, patchSource }; } public Builder similarity(VectorSimilarity vectorSimilarity) { @@ -281,11 +286,24 @@ public Builder elementType(ElementType elementType) { return this; } + public Builder patchSource(boolean value) { + this.patchSource.setValue(value); + return this; + } + @Override public DenseVectorFieldMapper build(MapperBuilderContext context) { // Validate again here because the dimensions or element type could have been set programmatically, // which affects index option validity validate(); + boolean finalPatchSource = patchSource.isConfigured() ? patchSource.get() + : context.isSourceSynthetic() ? false + : patchSource.getDefaultValue(); + if (finalPatchSource && context.isSourceSynthetic()) { + throw new IllegalArgumentException( + "[patch_source] is not available in synthetic mode and cannot be used on field [" + leafName() + "]." + ); + } return new DenseVectorFieldMapper( leafName(), new DenseVectorFieldType( @@ -300,7 +318,8 @@ public DenseVectorFieldMapper build(MapperBuilderContext context) { ), builderParams(this, context), indexOptions.getValue(), - indexVersionCreated + indexVersionCreated, + finalPatchSource ); } } @@ -1959,17 +1978,20 @@ ElementType getElementType() { private final IndexOptions indexOptions; private final IndexVersion indexCreatedVersion; + private final boolean patchSource; private DenseVectorFieldMapper( String simpleName, MappedFieldType mappedFieldType, BuilderParams params, IndexOptions indexOptions, - IndexVersion indexCreatedVersion + IndexVersion indexCreatedVersion, + boolean patchSource ) { super(simpleName, mappedFieldType, params); this.indexOptions = indexOptions; this.indexCreatedVersion = indexCreatedVersion; + this.patchSource = patchSource; } @Override @@ -2016,16 +2038,21 @@ public void parse(DocumentParserContext context) throws IOException { updatedDenseVectorFieldType, builderParams, indexOptions, - indexCreatedVersion + indexCreatedVersion, + patchSource ); context.addDynamicMapper(update); return; } + var xContentLocation = context.parser().getTokenLocation(); if (fieldType().indexed) { parseKnnVectorAndIndex(context); } else { parseBinaryDocValuesVectorAndIndex(context); } + if (patchSource && context.isWithinCopyTo() == false) { + context.addSourceFieldPatch(this, xContentLocation); + } } private void parseKnnVectorAndIndex(DocumentParserContext context) throws IOException { @@ -2162,6 +2189,12 @@ protected SyntheticSourceSupport syntheticSourceSupport() { return new SyntheticSourceSupport.Native(loader); } + @Override + protected SourceLoader.PatchFieldLoader patchFieldLoader() { + // We don't check patchSource here since the value is dynamic. + return new SourceLoader.SyntheticPatchFieldLoader(syntheticSourceSupport().loader()); + } + private class IndexedSyntheticFieldLoader extends SourceLoader.DocValuesBasedSyntheticFieldLoader { private FloatVectorValues values; private ByteVectorValues byteVectorValues; @@ -2205,6 +2238,41 @@ public boolean hasValue() { return hasValue; } + @Override + public CheckedConsumer valueWriter() throws IOException { + if (false == hasValue) { + return b -> b.writeNull(); + } + float magnitude = hasMagnitude ? Float.intBitsToFloat((int) magnitudeReader.longValue()) : Float.NaN; + if (values != null) { + float[] copy = Arrays.copyOf(values.vectorValue(), values.vectorValue().length); + return b -> { + if (hasMagnitude) { + b.writeStartArray(); + for (var v : copy) { + b.writeNumber(v * magnitude); + } + b.writeEndArray(); + } else { + b.writeStartArray(); + for (var v : copy) { + b.writeNumber(v); + } + b.writeEndArray(); + } + }; + } + assert byteVectorValues != null && hasMagnitude == false; + byte[] copy = Arrays.copyOf(byteVectorValues.vectorValue(), byteVectorValues.vectorValue().length); + return b -> { + b.writeStartArray(); + for (var v : copy) { + b.writeNumber(v); + } + b.writeEndArray(); + }; + } + @Override public void write(XContentBuilder b) throws IOException { if (false == hasValue) { diff --git a/server/src/main/java/org/elasticsearch/index/query/SearchExecutionContext.java b/server/src/main/java/org/elasticsearch/index/query/SearchExecutionContext.java index b07112440d3c2..b4e13d06db979 100644 --- a/server/src/main/java/org/elasticsearch/index/query/SearchExecutionContext.java +++ b/server/src/main/java/org/elasticsearch/index/query/SearchExecutionContext.java @@ -439,9 +439,12 @@ public boolean isSourceSynthetic() { */ public SourceLoader newSourceLoader(boolean forceSyntheticSource) { if (forceSyntheticSource) { - return new SourceLoader.Synthetic(mappingLookup.getMapping()::syntheticFieldLoader, mapperMetrics.sourceFieldMetrics()); + return new SourceLoader.Synthetic( + () -> mappingLookup.getMapping().syntheticFieldLoader(null), + mapperMetrics.sourceFieldMetrics() + ); } - return mappingLookup.newSourceLoader(mapperMetrics.sourceFieldMetrics()); + return mappingLookup.newSourceLoader(null, mapperMetrics.sourceFieldMetrics()); } /** @@ -493,9 +496,7 @@ public boolean containsBrokenAnalysis(String field) { */ public SearchLookup lookup() { if (this.lookup == null) { - SourceProvider sourceProvider = isSourceSynthetic() - ? SourceProvider.fromSyntheticSource(mappingLookup.getMapping(), mapperMetrics.sourceFieldMetrics()) - : SourceProvider.fromStoredFields(); + SourceProvider sourceProvider = SourceProvider.fromLookup(null, mappingLookup, mapperMetrics.sourceFieldMetrics()); setLookupProviders(sourceProvider, LeafFieldLookupProvider.fromStoredFields()); } return this.lookup; diff --git a/server/src/main/java/org/elasticsearch/search/lookup/ConcurrentSegmentSourceProvider.java b/server/src/main/java/org/elasticsearch/search/lookup/ConcurrentSegmentSourceProvider.java new file mode 100644 index 0000000000000..72ab4b79caeeb --- /dev/null +++ b/server/src/main/java/org/elasticsearch/search/lookup/ConcurrentSegmentSourceProvider.java @@ -0,0 +1,71 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the "Elastic License + * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side + * Public License v 1"; you may not use this file except in compliance with, at + * your election, the "Elastic License 2.0", the "GNU Affero General Public + * License v3.0 only", or the "Server Side Public License, v 1". + */ + +package org.elasticsearch.search.lookup; + +import org.apache.lucene.index.LeafReaderContext; +import org.elasticsearch.common.util.concurrent.ConcurrentCollections; +import org.elasticsearch.index.fieldvisitor.LeafStoredFieldLoader; +import org.elasticsearch.index.fieldvisitor.StoredFieldLoader; +import org.elasticsearch.index.mapper.SourceLoader; + +import java.io.IOException; +import java.util.Map; + +/** + * A {@link SourceProvider} that loads _source from a concurrent search. + * + * NOTE: This is written under the assumption that individual segments are accessed by a single + * thread, even if separate segments may be searched concurrently. If we ever implement + * within-segment concurrency this will have to work entirely differently. + * **/ +class ConcurrentSegmentSourceProvider implements SourceProvider { + private final SourceLoader sourceLoader; + private final StoredFieldLoader storedFieldLoader; + private final Map leaves = ConcurrentCollections.newConcurrentMap(); + + ConcurrentSegmentSourceProvider(SourceLoader loader, boolean loadSource) { + this.sourceLoader = loader; + this.storedFieldLoader = StoredFieldLoader.create(loadSource, sourceLoader.requiredStoredFields()); + } + + @Override + public Source getSource(LeafReaderContext ctx, int doc) throws IOException { + final Object id = ctx.id(); + var leaf = leaves.get(id); + if (leaf == null) { + leaf = new Leaf(sourceLoader.leaf(ctx.reader(), null), storedFieldLoader.getLoader(ctx, null)); + var existing = leaves.put(id, leaf); + assert existing == null : "unexpected source provider [" + existing + "]"; + } + return leaf.getSource(ctx, doc); + } + + private static class Leaf implements SourceProvider { + private final SourceLoader.Leaf sourceLoader; + private final LeafStoredFieldLoader storedFieldLoader; + int doc = -1; + Source source = null; + + private Leaf(SourceLoader.Leaf sourceLoader, LeafStoredFieldLoader storedFieldLoader) { + this.sourceLoader = sourceLoader; + this.storedFieldLoader = storedFieldLoader; + } + + @Override + public Source getSource(LeafReaderContext ctx, int doc) throws IOException { + if (this.doc == doc) { + return source; + } + this.doc = doc; + storedFieldLoader.advanceTo(doc); + return source = sourceLoader.source(storedFieldLoader, doc); + } + } +} diff --git a/server/src/main/java/org/elasticsearch/search/lookup/SourceFilter.java b/server/src/main/java/org/elasticsearch/search/lookup/SourceFilter.java index d3951700f3c9f..a9779d42f59bf 100644 --- a/server/src/main/java/org/elasticsearch/search/lookup/SourceFilter.java +++ b/server/src/main/java/org/elasticsearch/search/lookup/SourceFilter.java @@ -9,6 +9,8 @@ package org.elasticsearch.search.lookup; +import org.apache.lucene.util.automaton.Automata; +import org.apache.lucene.util.automaton.CharacterRunAutomaton; import org.elasticsearch.common.Strings; import org.elasticsearch.common.bytes.BytesReference; import org.elasticsearch.common.io.stream.BytesStreamOutput; @@ -39,7 +41,9 @@ public final class SourceFilter { private final boolean canFilterBytes; private final boolean empty; private final String[] includes; + private CharacterRunAutomaton includeAut; private final String[] excludes; + private CharacterRunAutomaton excludeAut; /** * Construct a new filter based on a list of includes and excludes @@ -82,6 +86,39 @@ public Source filterBytes(Source in) { return bytesFilter.apply(in); } + public boolean shouldFilter(String fullPath) { + final boolean included; + if (includes != null) { + if (includeAut == null) { + includeAut = XContentMapValues.compileAutomaton(includes, new CharacterRunAutomaton(Automata.makeAnyString())); + } + int state = step(includeAut, fullPath, 0); + included = state != -1 && includeAut.isAccept(state); + } else { + included = true; + } + + boolean excluded; + if (excludes != null) { + if (excludeAut == null) { + excludeAut = XContentMapValues.compileAutomaton(excludes, new CharacterRunAutomaton(Automata.makeEmpty())); + } + int state = step(excludeAut, fullPath, 0); + excluded = state != -1 && excludeAut.isAccept(state); + } else { + excluded = true; + } + + return included == false || excluded; + } + + private static int step(CharacterRunAutomaton automaton, String key, int state) { + for (int i = 0; state != -1 && i < key.length(); ++i) { + state = automaton.step(state, key.charAt(i)); + } + return state; + } + private Function buildBytesFilter() { if (canFilterBytes == false) { return this::filterMap; diff --git a/server/src/main/java/org/elasticsearch/search/lookup/SourceProvider.java b/server/src/main/java/org/elasticsearch/search/lookup/SourceProvider.java index e232aec5d1f6c..132f01a096a35 100644 --- a/server/src/main/java/org/elasticsearch/search/lookup/SourceProvider.java +++ b/server/src/main/java/org/elasticsearch/search/lookup/SourceProvider.java @@ -10,10 +10,8 @@ package org.elasticsearch.search.lookup; import org.apache.lucene.index.LeafReaderContext; -import org.elasticsearch.index.fieldvisitor.StoredFieldLoader; -import org.elasticsearch.index.mapper.Mapping; +import org.elasticsearch.index.mapper.MappingLookup; import org.elasticsearch.index.mapper.SourceFieldMetrics; -import org.elasticsearch.index.mapper.SourceLoader; import java.io.IOException; @@ -28,27 +26,18 @@ public interface SourceProvider { Source getSource(LeafReaderContext ctx, int doc) throws IOException; /** - * A SourceProvider that loads source from stored fields + * A SourceProvider that delegate loading source to the provided {@link MappingLookup}. * * The returned SourceProvider is thread-safe across segments, in that it may be * safely used by a searcher that searches different segments on different threads, * but it is not safe to use this to access documents from the same segment across * multiple threads. */ - static SourceProvider fromStoredFields() { - StoredFieldLoader storedFieldLoader = StoredFieldLoader.sequentialSource(); - return new StoredFieldSourceProvider(storedFieldLoader); + static SourceProvider fromLookup(SourceFilter sourceFilter, MappingLookup lookup, SourceFieldMetrics metrics) { + return new ConcurrentSegmentSourceProvider(lookup.newSourceLoader(sourceFilter, metrics), lookup.isSourceSynthetic() == false); } - /** - * A SourceProvider that loads source from synthetic source - * - * The returned SourceProvider is thread-safe across segments, in that it may be - * safely used by a searcher that searches different segments on different threads, - * but it is not safe to use this to access documents from the same segment across - * multiple threads. - */ - static SourceProvider fromSyntheticSource(Mapping mapping, SourceFieldMetrics metrics) { - return new SyntheticSourceProvider(new SourceLoader.Synthetic(mapping::syntheticFieldLoader, metrics)); + static SourceProvider fromLookup(MappingLookup lookup, SourceFieldMetrics metrics) { + return fromLookup(null, lookup, metrics); } } diff --git a/server/src/main/java/org/elasticsearch/search/lookup/StoredFieldSourceProvider.java b/server/src/main/java/org/elasticsearch/search/lookup/StoredFieldSourceProvider.java deleted file mode 100644 index aa3caa6865bdb..0000000000000 --- a/server/src/main/java/org/elasticsearch/search/lookup/StoredFieldSourceProvider.java +++ /dev/null @@ -1,63 +0,0 @@ -/* - * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one - * or more contributor license agreements. Licensed under the "Elastic License - * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side - * Public License v 1"; you may not use this file except in compliance with, at - * your election, the "Elastic License 2.0", the "GNU Affero General Public - * License v3.0 only", or the "Server Side Public License, v 1". - */ - -package org.elasticsearch.search.lookup; - -import org.apache.lucene.index.LeafReaderContext; -import org.elasticsearch.common.util.concurrent.ConcurrentCollections; -import org.elasticsearch.index.fieldvisitor.LeafStoredFieldLoader; -import org.elasticsearch.index.fieldvisitor.StoredFieldLoader; - -import java.io.IOException; -import java.util.Map; - -// NB This is written under the assumption that individual segments are accessed by a single -// thread, even if separate segments may be searched concurrently. If we ever implement -// within-segment concurrency this will have to work entirely differently. -class StoredFieldSourceProvider implements SourceProvider { - - private final StoredFieldLoader storedFieldLoader; - private final Map leaves = ConcurrentCollections.newConcurrentMap(); - - StoredFieldSourceProvider(StoredFieldLoader storedFieldLoader) { - this.storedFieldLoader = storedFieldLoader; - } - - @Override - public Source getSource(LeafReaderContext ctx, int doc) throws IOException { - final Object id = ctx.id(); - var provider = leaves.get(id); - if (provider == null) { - provider = new LeafStoredFieldSourceProvider(storedFieldLoader.getLoader(ctx, null)); - var existing = leaves.put(id, provider); - assert existing == null : "unexpected source provider [" + existing + "]"; - } - return provider.getSource(doc); - } - - private static class LeafStoredFieldSourceProvider { - - final LeafStoredFieldLoader leafStoredFieldLoader; - int doc = -1; - Source source; - - private LeafStoredFieldSourceProvider(LeafStoredFieldLoader leafStoredFieldLoader) { - this.leafStoredFieldLoader = leafStoredFieldLoader; - } - - Source getSource(int doc) throws IOException { - if (this.doc == doc) { - return source; - } - this.doc = doc; - leafStoredFieldLoader.advanceTo(doc); - return source = Source.fromBytes(leafStoredFieldLoader.source()); - } - } -} diff --git a/server/src/main/java/org/elasticsearch/search/lookup/SyntheticSourceProvider.java b/server/src/main/java/org/elasticsearch/search/lookup/SyntheticSourceProvider.java deleted file mode 100644 index 8078f4cb9cb8e..0000000000000 --- a/server/src/main/java/org/elasticsearch/search/lookup/SyntheticSourceProvider.java +++ /dev/null @@ -1,61 +0,0 @@ -/* - * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one - * or more contributor license agreements. Licensed under the "Elastic License - * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side - * Public License v 1"; you may not use this file except in compliance with, at - * your election, the "Elastic License 2.0", the "GNU Affero General Public - * License v3.0 only", or the "Server Side Public License, v 1". - */ - -package org.elasticsearch.search.lookup; - -import org.apache.lucene.index.LeafReaderContext; -import org.elasticsearch.common.util.concurrent.ConcurrentCollections; -import org.elasticsearch.index.fieldvisitor.LeafStoredFieldLoader; -import org.elasticsearch.index.fieldvisitor.StoredFieldLoader; -import org.elasticsearch.index.mapper.SourceLoader; - -import java.io.IOException; -import java.util.Map; - -// NB This is written under the assumption that individual segments are accessed by a single -// thread, even if separate segments may be searched concurrently. If we ever implement -// within-segment concurrency this will have to work entirely differently. -class SyntheticSourceProvider implements SourceProvider { - - private final SourceLoader sourceLoader; - private final Map leaves = ConcurrentCollections.newConcurrentMap(); - - SyntheticSourceProvider(SourceLoader sourceLoader) { - this.sourceLoader = sourceLoader; - } - - @Override - public Source getSource(LeafReaderContext ctx, int doc) throws IOException { - final Object id = ctx.id(); - var provider = leaves.get(id); - if (provider == null) { - provider = new SyntheticSourceLeafLoader(ctx); - var existing = leaves.put(id, provider); - assert existing == null : "unexpected source provider [" + existing + "]"; - } - return provider.getSource(doc); - } - - private class SyntheticSourceLeafLoader { - private final LeafStoredFieldLoader leafLoader; - private final SourceLoader.Leaf leaf; - - SyntheticSourceLeafLoader(LeafReaderContext ctx) throws IOException { - this.leafLoader = (sourceLoader.requiredStoredFields().isEmpty()) - ? StoredFieldLoader.empty().getLoader(ctx, null) - : StoredFieldLoader.create(false, sourceLoader.requiredStoredFields()).getLoader(ctx, null); - this.leaf = sourceLoader.leaf(ctx.reader(), null); - } - - Source getSource(int doc) throws IOException { - leafLoader.advanceTo(doc); - return leaf.source(leafLoader, doc); - } - } -} diff --git a/server/src/test/java/org/elasticsearch/index/mapper/CompositeRuntimeFieldTests.java b/server/src/test/java/org/elasticsearch/index/mapper/CompositeRuntimeFieldTests.java index 723980721b76b..b7a8b7c3fd4e4 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/CompositeRuntimeFieldTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/CompositeRuntimeFieldTests.java @@ -346,7 +346,7 @@ public void testParseDocumentSubFieldAccess() throws IOException { (mft, lookupSupplier, fdo) -> mft.fielddataBuilder( new FieldDataContext("test", null, lookupSupplier, mapperService.mappingLookup()::sourcePaths, fdo) ).build(null, null), - SourceProvider.fromStoredFields() + SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) ); LeafSearchLookup leafSearchLookup = searchLookup.getLeafSearchLookup(reader.leaves().get(0)); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/DateFieldScriptTests.java b/server/src/test/java/org/elasticsearch/index/mapper/DateFieldScriptTests.java index d443fee5e9d15..b9fc65486ce41 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/DateFieldScriptTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/DateFieldScriptTests.java @@ -106,7 +106,11 @@ public final void testFromSourceDoesNotEnforceValuesLimit() throws IOException { DateFieldScript.LeafFactory leafFactory = fromSource().newFactory( "field", Collections.emptyMap(), - new SearchLookup(field -> null, (ft, lookup, fdt) -> null, SourceProvider.fromStoredFields()), + new SearchLookup( + field -> null, + (ft, lookup, fdt) -> null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ), DateFormatter.forPattern("epoch_millis"), OnScriptError.FAIL ); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/DocCountFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/DocCountFieldMapperTests.java index b4bc2f23af087..250b6dc010a3e 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/DocCountFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/DocCountFieldMapperTests.java @@ -98,7 +98,7 @@ public void testSyntheticSourceMany() throws IOException { iw.addDocument(mapper.documentMapper().parse(source(b -> b.field("doc", doc).field(CONTENT_TYPE, c))).rootDoc()); } }, reader -> { - SourceLoader loader = mapper.mappingLookup().newSourceLoader(SourceFieldMetrics.NOOP); + SourceLoader loader = mapper.mappingLookup().newSourceLoader(null, SourceFieldMetrics.NOOP); assertThat(loader.requiredStoredFields(), Matchers.contains("_ignored_source")); for (LeafReaderContext leaf : reader.leaves()) { int[] docIds = IntStream.range(0, leaf.reader().maxDoc()).toArray(); @@ -130,7 +130,7 @@ public void testSyntheticSourceManyDoNotHave() throws IOException { })).rootDoc()); } }, reader -> { - SourceLoader loader = mapper.mappingLookup().newSourceLoader(SourceFieldMetrics.NOOP); + SourceLoader loader = mapper.mappingLookup().newSourceLoader(null, SourceFieldMetrics.NOOP); assertThat(loader.requiredStoredFields(), Matchers.contains("_ignored_source")); for (LeafReaderContext leaf : reader.leaves()) { int[] docIds = IntStream.range(0, leaf.reader().maxDoc()).toArray(); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/DoubleFieldScriptTests.java b/server/src/test/java/org/elasticsearch/index/mapper/DoubleFieldScriptTests.java index f23c5e608aba1..d860508b32557 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/DoubleFieldScriptTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/DoubleFieldScriptTests.java @@ -103,7 +103,11 @@ public final void testFromSourceDoesNotEnforceValuesLimit() throws IOException { DoubleFieldScript.LeafFactory leafFactory = fromSource().newFactory( "field", Collections.emptyMap(), - new SearchLookup(field -> null, (ft, lookup, fdt) -> null, SourceProvider.fromStoredFields()), + new SearchLookup( + field -> null, + (ft, lookup, fdt) -> null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ), OnScriptError.FAIL ); DoubleFieldScript doubleFieldScript = leafFactory.newInstance(reader.leaves().get(0)); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/IpFieldScriptTests.java b/server/src/test/java/org/elasticsearch/index/mapper/IpFieldScriptTests.java index e6c78f506717e..e2e9bf268fa59 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/IpFieldScriptTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/IpFieldScriptTests.java @@ -104,7 +104,11 @@ public final void testFromSourceDoesNotEnforceValuesLimit() throws IOException { IpFieldScript.LeafFactory leafFactory = fromSource().newFactory( "field", Collections.emptyMap(), - new SearchLookup(field -> null, (ft, lookup, fdt) -> null, SourceProvider.fromStoredFields()), + new SearchLookup( + field -> null, + (ft, lookup, fdt) -> null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ), OnScriptError.FAIL ); IpFieldScript ipFieldScript = leafFactory.newInstance(reader.leaves().get(0)); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/LongFieldScriptTests.java b/server/src/test/java/org/elasticsearch/index/mapper/LongFieldScriptTests.java index c6ad7c40e9a75..594016df8cb78 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/LongFieldScriptTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/LongFieldScriptTests.java @@ -103,7 +103,11 @@ public final void testFromSourceDoesNotEnforceValuesLimit() throws IOException { LongFieldScript.LeafFactory leafFactory = fromSource().newFactory( "field", Collections.emptyMap(), - new SearchLookup(field -> null, (ft, lookup, fdt) -> null, SourceProvider.fromStoredFields()), + new SearchLookup( + field -> null, + (ft, lookup, fdt) -> null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ), OnScriptError.FAIL ); LongFieldScript longFieldScript = leafFactory.newInstance(reader.leaves().get(0)); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/PatchSourceMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/PatchSourceMapperTests.java new file mode 100644 index 0000000000000..daa70d3a293a2 --- /dev/null +++ b/server/src/test/java/org/elasticsearch/index/mapper/PatchSourceMapperTests.java @@ -0,0 +1,496 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the "Elastic License + * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side + * Public License v 1"; you may not use this file except in compliance with, at + * your election, the "Elastic License 2.0", the "GNU Affero General Public + * License v3.0 only", or the "Server Side Public License, v 1". + */ + +package org.elasticsearch.index.mapper; + +import org.apache.lucene.document.BinaryDocValuesField; +import org.apache.lucene.util.BytesRef; +import org.elasticsearch.common.bytes.BytesArray; +import org.elasticsearch.common.bytes.BytesReference; +import org.elasticsearch.plugins.MapperPlugin; +import org.elasticsearch.plugins.Plugin; +import org.elasticsearch.rest.RestStatus; +import org.elasticsearch.search.lookup.Source; +import org.elasticsearch.search.lookup.SourceProvider; +import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.json.JsonXContent; + +import java.io.IOException; +import java.util.Collection; +import java.util.List; +import java.util.Map; + +import static org.hamcrest.Matchers.containsString; +import static org.hamcrest.Matchers.equalTo; +import static org.hamcrest.Matchers.lessThan; + +public class PatchSourceMapperTests extends MapperServiceTestCase { + @Override + protected Collection getPlugins() { + return List.of(new TestPlugin()); + } + + public void testPatchSourceFlat() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of("field", Map.of("obj", Map.of("key1", "value1")), "another_field", randomAlphaOfLengthBetween(5, 10)), + true + ); + } + + public void testPatchSourceFlatToCopyTo() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.field("copy_to", new String[] { "another_field" }); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + // another_field + b.startObject("extra_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch(mapperService, Map.of("field", "key1"), true); + } + + public void testPatchSourceFlatFromCopyTo() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.field("copy_to", new String[] { "field" }); + b.endObject(); + + // another_field + b.startObject("extra_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch(mapperService, Map.of("another_field", "value1", "extra_field", "value2"), false); + } + + public void testPatchSourceFlatMulti() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + var exc = expectThrows( + DocumentParsingException.class, + () -> assertSourcePatch( + mapperService, + Map.of( + "field", + List.of(Map.of("obj", Map.of("key1", "value1")), Map.of("another", "one")), + "another_field", + randomAlphaOfLengthBetween(5, 10) + ), + true + ) + ); + assertThat(exc.status(), equalTo(RestStatus.BAD_REQUEST)); + assertThat(exc.getDetailedMessage(), containsString("[field] does not support patching multiple values")); + } + + public void testPatchSourceObject() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // obj + b.startObject("obj"); + b.startObject("properties"); + + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // obj.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of("obj", Map.of("field", Map.of("key1", "value1")), "another_field", randomAlphaOfLengthBetween(5, 10)), + true + ); + } + + public void testPatchSourceObjectFlat() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // obj + b.startObject("obj"); + b.startObject("properties"); + + // obj.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // obj.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of("obj.field", Map.of("key1", "value1"), "another_field", randomAlphaOfLengthBetween(5, 10)), + true + ); + } + + public void testPatchSourceNestedObject() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // nested + b.startObject("nested"); + b.field("type", "nested"); + b.startObject("properties"); + + // nested.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // nested.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of("nested", Map.of("field", Map.of("key1", "value1")), "another_field", randomAlphaOfLengthBetween(5, 10)), + true + ); + } + + public void testPatchSourceNestedArray() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // nested + b.startObject("nested"); + b.field("type", "nested"); + b.startObject("properties"); + + // nested.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // nested.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of( + "nested", + List.of( + Map.of("field", Map.of()), + Map.of(), + Map.of("field", Map.of("key1", "value1")), + Map.of("another_field", randomAlphaOfLengthBetween(5, 10)) + ), + "another_field", + randomAlphaOfLengthBetween(5, 10) + ), + true + ); + } + + public void testPatchSourceMulti() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // obj + b.startObject("obj"); + b.startObject("properties"); + + // obj.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // obj.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // nested + b.startObject("nested"); + b.field("type", "nested"); + b.startObject("properties"); + + // nested.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // nested.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of( + "field", + Map.of("obj", Map.of("key1", "value1")), + "obj", + Map.of("field", Map.of("key1", "value1")), + "nested", + Map.of("field", Map.of("key1", "value1")), + "another_field", + randomAlphaOfLengthBetween(5, 10) + ), + true + ); + } + + public void testPatchSourceMultiFlat() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // obj + b.startObject("obj"); + b.startObject("properties"); + + // obj.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // nested + b.startObject("nested"); + b.field("type", "nested"); + b.startObject("properties"); + + // nested.field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // nested.another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of( + "field", + Map.of("obj", Map.of("key1", "value1")), + "obj.field", + Map.of("key1", "value1"), + "nested.field", + Map.of("key1", "value1"), + "another_field", + randomAlphaOfLengthBetween(5, 10) + ), + true + ); + } + + public void testPatchSourceWithIncludes() throws IOException { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("type", "patch"); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "keyword"); + b.endObject(); + })); + assertSourcePatch( + mapperService, + Map.of("field", Map.of("obj", Map.of("key1", "value1")), "another_field", randomAlphaOfLengthBetween(5, 10)), + true + ); + } + + public static void assertSourcePatch(MapperService mapperService, Map source, boolean needsPatching) + throws IOException { + XContentBuilder builder = JsonXContent.contentBuilder(); + builder.value(source); + SourceToParse origSource = new SourceToParse("0", BytesReference.bytes(builder), builder.contentType()); + ParsedDocument doc = mapperService.documentMapper().parse(origSource); + var storedSource = doc.rootDoc().getField(SourceFieldMapper.NAME).binaryValue(); + if (needsPatching) { + assertThat(storedSource.length, lessThan(origSource.source().length())); + assertFalse(storedSource.utf8ToString().equals(origSource.source().utf8ToString())); + } else { + assertThat(storedSource.utf8ToString(), equalTo(origSource.source().utf8ToString())); + } + withLuceneIndex(mapperService, iw -> iw.addDocuments(doc.docs()), ir -> { + Source actual = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) + .getSource(ir.leaves().get(0), doc.docs().size() - 1); + assertEquals(origSource.source().utf8ToString(), actual.internalSourceRef().utf8ToString()); + }); + } + + static class TestPlugin extends Plugin implements MapperPlugin { + @Override + public Map getMappers() { + return Map.of(BinaryPatchSourceFieldMapper.CONTENT_TYPE, BinaryPatchSourceFieldMapper.PARSER); + } + } + + static class BinaryPatchSourceFieldMapper extends FieldMapper { + static final TypeParser PARSER = new TypeParser((n, c) -> new Builder(n)); + static final String CONTENT_TYPE = "patch"; + + static class Builder extends FieldMapper.Builder { + protected Builder(String name) { + super(name); + } + + @Override + protected Parameter[] getParameters() { + return new Parameter[0]; + } + + @Override + public FieldMapper build(MapperBuilderContext context) { + BinaryFieldMapper.Builder b = new BinaryFieldMapper.Builder(leafName(), false).docValues(true); + return new BinaryPatchSourceFieldMapper(leafName(), b.build(context), builderParams(b, context)); + } + } + + protected BinaryPatchSourceFieldMapper(String simpleName, BinaryFieldMapper delegate, BuilderParams builderParams) { + super(simpleName, delegate.fieldType(), builderParams); + } + + @Override + protected void parseCreateField(DocumentParserContext context) throws IOException { + if (context.isWithinCopyTo() == false) { + context.addSourceFieldPatch(this, context.parser().getTokenLocation()); + } + XContentBuilder b = XContentBuilder.builder(context.parser().contentType().xContent()); + b.copyCurrentStructure(context.parser()); + context.doc().add(new BinaryDocValuesField(fullPath(), BytesReference.bytes(b).toBytesRef())); + context.parser().skipChildren(); + } + + @Override + protected String contentType() { + return CONTENT_TYPE; + } + + @Override + public Builder getMergeBuilder() { + return new Builder(leafName()); + } + + @Override + protected SyntheticSourceSupport syntheticSourceSupport() { + var fieldLoader = new BinaryDocValuesSyntheticFieldLoader(fullPath()) { + @Override + protected void writeValue(XContentBuilder b, BytesRef value) throws IOException { + try (var stream = new BytesArray(value.utf8ToString()).streamInput()) { + b.rawField(leafName(), stream, b.contentType()); + } + } + }; + return new SyntheticSourceSupport.Native(fieldLoader); + } + + @Override + protected SourceLoader.PatchFieldLoader patchFieldLoader() { + return new SourceLoader.SyntheticPatchFieldLoader(syntheticSourceSupport().loader()); + } + } +} diff --git a/server/src/test/java/org/elasticsearch/index/mapper/PlaceHolderFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/PlaceHolderFieldMapperTests.java index e9c75772637b4..2216e92fa5f98 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/PlaceHolderFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/PlaceHolderFieldMapperTests.java @@ -67,7 +67,7 @@ public void testFetchValue() throws Exception { SearchLookup lookup = new SearchLookup( mapperService::fieldType, fieldDataLookup(mapperService), - SourceProvider.fromStoredFields() + SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) ); SearchExecutionContext searchExecutionContext = createSearchExecutionContext(mapperService); FieldFetcher fieldFetcher = FieldFetcher.create( diff --git a/server/src/test/java/org/elasticsearch/index/mapper/ProvidedIdFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/ProvidedIdFieldMapperTests.java index 453ac0620e760..e09182e301b22 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/ProvidedIdFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/ProvidedIdFieldMapperTests.java @@ -77,7 +77,7 @@ public void testFetchIdFieldValue() throws IOException { SearchLookup lookup = new SearchLookup( mapperService::fieldType, fieldDataLookup(mapperService), - SourceProvider.fromStoredFields() + SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) ); SearchExecutionContext searchExecutionContext = mock(SearchExecutionContext.class); when(searchExecutionContext.lookup()).thenReturn(lookup); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/RangeFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/RangeFieldMapperTests.java index 351a3ee6a6098..1db3276781478 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/RangeFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/RangeFieldMapperTests.java @@ -408,7 +408,7 @@ protected Source getSourceFor(CheckedConsumer mapp iw.addDocument(doc); iw.close(); try (DirectoryReader reader = DirectoryReader.open(directory)) { - SourceProvider provider = SourceProvider.fromSyntheticSource(mapper.mapping(), SourceFieldMetrics.NOOP); + SourceProvider provider = SourceProvider.fromLookup(mapper.mappers(), SourceFieldMetrics.NOOP); Source syntheticSource = provider.getSource(getOnlyLeafReader(reader).getContext(), 0); return syntheticSource; diff --git a/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMapperTests.java index 2f417e688cb97..045beca0070a3 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMapperTests.java @@ -22,7 +22,9 @@ import org.elasticsearch.test.index.IndexVersionUtils; import org.elasticsearch.xcontent.XContentBuilder; import org.elasticsearch.xcontent.XContentFactory; +import org.elasticsearch.xcontent.XContentLocation; import org.elasticsearch.xcontent.XContentParser; +import org.elasticsearch.xcontent.XContentParserConfiguration; import org.elasticsearch.xcontent.XContentType; import org.elasticsearch.xcontent.json.JsonXContent; @@ -545,4 +547,78 @@ public void testRecoverySourceWithTimeSeriesCustom() throws IOException { assertNull(doc.rootDoc().getField("_recovery_source")); } } + + public void testWrongLocationPatchSourceInPostParse() throws Exception { + MapperService mapperService = createMapperService(Settings.EMPTY, mapping(b -> { + b.startObject("field"); + b.field("type", "long"); + b.endObject(); + })); + SourceFieldMapper mapper = (SourceFieldMapper) mapperService.getMetadataMappers().get(SourceFieldMapper.class); + XContentBuilder builder = JsonXContent.contentBuilder(); + builder.value(Map.of("field", 45)); + var sourceToParse = new SourceToParse("0", BytesReference.bytes(builder), builder.contentType()); + FieldMapper fieldMapper = (FieldMapper) mapperService.mappingLookup().getMapper("field"); + try ( + var parser = XContentHelper.createParserNotCompressed( + XContentParserConfiguration.EMPTY, + sourceToParse.source(), + XContentType.JSON + ) + ) { + DocumentParserContext context = new TestDocumentParserContext(mapperService.mappingLookup(), sourceToParse) { + @Override + public XContentParser parser() { + return parser; + } + }; + var xContentLocation = new XContentLocation(0, 3); + context.addSourceFieldPatch(fieldMapper, xContentLocation); + var exc = expectThrows(IllegalArgumentException.class, () -> mapper.postParse(context)); + assertThat(exc.getMessage(), containsString("Registered patch not found")); + } + } + + public void testRemainingPatchSourceInPostParse() throws Exception { + MapperService mapperService = createMapperService(Settings.EMPTY, mapping(b -> { + b.startObject("field"); + b.field("type", "long"); + b.endObject(); + + b.startObject("another_field"); + b.field("type", "long"); + b.endObject(); + })); + SourceFieldMapper mapper = (SourceFieldMapper) mapperService.getMetadataMappers().get(SourceFieldMapper.class); + XContentBuilder builder = JsonXContent.contentBuilder(); + builder.value(Map.of("another_field", 45)); + var sourceToParse = new SourceToParse("0", BytesReference.bytes(builder), builder.contentType()); + var fieldMapper = (FieldMapper) mapperService.mappingLookup().getMapper("field"); + var anotherFieldMapper = (FieldMapper) mapperService.mappingLookup().getMapper("another_field"); + try ( + var parser = XContentHelper.createParserNotCompressed( + XContentParserConfiguration.EMPTY, + sourceToParse.source(), + XContentType.JSON + ) + ) { + DocumentParserContext context = new TestDocumentParserContext(mapperService.mappingLookup(), sourceToParse) { + @Override + public XContentParser parser() { + return parser; + } + }; + var xContentLocation1 = new XContentLocation(0, 3); + context.addSourceFieldPatch(fieldMapper, xContentLocation1); + { + var exc = expectThrows(IllegalArgumentException.class, () -> context.addSourceFieldPatch(fieldMapper, xContentLocation1)); + assertThat(exc.getMessage(), containsString("Field [field] does not support patching the same location ")); + } + var xContentLocation2 = new XContentLocation(2, 6); + context.addSourceFieldPatch(anotherFieldMapper, xContentLocation2); + + var exc = expectThrows(IllegalArgumentException.class, () -> mapper.postParse(context)); + assertThat(exc.getMessage(), containsString("Registered patch not found")); + } + } } diff --git a/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMetricsTests.java b/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMetricsTests.java index 81532114a7050..ffd3138c62d86 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMetricsTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/SourceFieldMetricsTests.java @@ -45,10 +45,7 @@ public void testSyntheticSourceLoadLatency() throws IOException { iw.addDocument(doc); iw.close(); try (DirectoryReader reader = DirectoryReader.open(directory)) { - SourceProvider provider = SourceProvider.fromSyntheticSource( - mapper.mapping(), - createTestMapperMetrics().sourceFieldMetrics() - ); + SourceProvider provider = SourceProvider.fromLookup(mapper.mappers(), createTestMapperMetrics().sourceFieldMetrics()); Source synthetic = provider.getSource(getOnlyLeafReader(reader).getContext(), 0); assertEquals(synthetic.source().get("kwd"), "foo"); } diff --git a/server/src/test/java/org/elasticsearch/index/mapper/SourceLoaderTests.java b/server/src/test/java/org/elasticsearch/index/mapper/SourceLoaderTests.java index c6a4021d8a542..12484f56786be 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/SourceLoaderTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/SourceLoaderTests.java @@ -21,7 +21,7 @@ public void testNonSynthetic() throws IOException { b.startObject("o").field("type", "object").endObject(); b.startObject("kwd").field("type", "keyword").endObject(); })); - assertFalse(mapper.mappers().newSourceLoader(SourceFieldMetrics.NOOP).reordersFieldValues()); + assertFalse(mapper.mappers().newSourceLoader(null, SourceFieldMetrics.NOOP).reordersFieldValues()); } public void testEmptyObject() throws IOException { @@ -29,7 +29,7 @@ public void testEmptyObject() throws IOException { b.startObject("o").field("type", "object").endObject(); b.startObject("kwd").field("type", "keyword").endObject(); })); - assertTrue(mapper.mappers().newSourceLoader(SourceFieldMetrics.NOOP).reordersFieldValues()); + assertTrue(mapper.mappers().newSourceLoader(null, SourceFieldMetrics.NOOP).reordersFieldValues()); assertThat(syntheticSource(mapper, b -> b.field("kwd", "foo")), equalTo(""" {"kwd":"foo"}""")); } diff --git a/server/src/test/java/org/elasticsearch/index/mapper/StringFieldScriptTests.java b/server/src/test/java/org/elasticsearch/index/mapper/StringFieldScriptTests.java index 36f71c74838e6..6ccb532e056c9 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/StringFieldScriptTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/StringFieldScriptTests.java @@ -134,7 +134,11 @@ public final void testFromSourceDoesNotEnforceValuesLimit() throws IOException { StringFieldScript.LeafFactory leafFactory = fromSource().newFactory( "field", Collections.emptyMap(), - new SearchLookup(field -> null, (ft, lookup, fdt) -> null, SourceProvider.fromStoredFields()), + new SearchLookup( + field -> null, + (ft, lookup, fdt) -> null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ), OnScriptError.FAIL ); StringFieldScript stringFieldScript = leafFactory.newInstance(reader.leaves().get(0)); @@ -164,7 +168,11 @@ public final void testFromSourceDoesNotEnforceCharsLimit() throws IOException { StringFieldScript.LeafFactory leafFactory = fromSource().newFactory( "field", Collections.emptyMap(), - new SearchLookup(field -> null, (ft, lookup, fdt) -> null, SourceProvider.fromStoredFields()), + new SearchLookup( + field -> null, + (ft, lookup, fdt) -> null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ), OnScriptError.FAIL ); StringFieldScript stringFieldScript = leafFactory.newInstance(reader.leaves().get(0)); diff --git a/server/src/test/java/org/elasticsearch/index/mapper/TextFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/TextFieldMapperTests.java index c8fcf486068c4..575a729759446 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/TextFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/TextFieldMapperTests.java @@ -1307,7 +1307,7 @@ public void testEmpty() throws Exception { MappedFieldType ft = mapperService.fieldType("field"); SourceProvider sourceProvider = mapperService.mappingLookup().isSourceSynthetic() ? (ctx, doc) -> { throw new IllegalArgumentException("Can't load source in scripts in synthetic mode"); - } : SourceProvider.fromStoredFields(); + } : SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()); SearchLookup searchLookup = new SearchLookup(null, null, sourceProvider); IndexFieldData sfd = ft.fielddataBuilder( new FieldDataContext("", null, () -> searchLookup, Set::of, MappedFieldType.FielddataOperation.SCRIPT) diff --git a/server/src/test/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapperTests.java b/server/src/test/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapperTests.java index 8aede4940443c..ce06a796ebeaa 100644 --- a/server/src/test/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapperTests.java +++ b/server/src/test/java/org/elasticsearch/index/mapper/vectors/DenseVectorFieldMapperTests.java @@ -23,6 +23,7 @@ import org.apache.lucene.search.Query; import org.apache.lucene.util.BytesRef; import org.apache.lucene.util.VectorUtil; +import org.elasticsearch.common.bytes.BytesArray; import org.elasticsearch.common.bytes.BytesReference; import org.elasticsearch.common.util.BigArrays; import org.elasticsearch.common.xcontent.XContentHelper; @@ -53,16 +54,20 @@ import org.elasticsearch.test.ESTestCase; import org.elasticsearch.test.index.IndexVersionUtils; import org.elasticsearch.xcontent.XContentBuilder; +import org.elasticsearch.xcontent.XContentType; import org.junit.AssumptionViolatedException; import java.io.IOException; import java.util.ArrayList; import java.util.Arrays; import java.util.List; +import java.util.Map; import java.util.Set; import static org.apache.lucene.codecs.lucene99.Lucene99HnswVectorsFormat.DEFAULT_BEAM_WIDTH; import static org.apache.lucene.codecs.lucene99.Lucene99HnswVectorsFormat.DEFAULT_MAX_CONN; +import static org.elasticsearch.index.mapper.PatchSourceMapperTests.assertSourcePatch; +import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertToXContentEquivalent; import static org.hamcrest.Matchers.containsString; import static org.hamcrest.Matchers.equalTo; import static org.hamcrest.Matchers.instanceOf; @@ -1550,7 +1555,8 @@ protected void assertFetch(MapperService mapperService, String field, Object val ValueFetcher nativeFetcher = ft.valueFetcher(searchExecutionContext, format); ParsedDocument doc = mapperService.documentMapper().parse(source); withLuceneIndex(mapperService, iw -> iw.addDocuments(doc.docs()), ir -> { - Source s = SourceProvider.fromStoredFields().getSource(ir.leaves().get(0), 0); + Source s = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) + .getSource(ir.leaves().get(0), 0); nativeFetcher.setNextReader(ir.leaves().get(0)); List fromNative = nativeFetcher.fetchValues(s, 0, new ArrayList<>()); DenseVectorFieldType denseVectorFieldType = (DenseVectorFieldType) ft; @@ -2005,6 +2011,45 @@ public void testInvalidVectorDimensions() { } } + public void testFetchWithPatch() throws IOException { + String mappingStr = """ + { + "_doc": { + "properties": { + "obj1": { + "properties": { + "obj2": { + "properties": { + "emb": { + "type": "dense_vector", + "dims": 3, + "patch_source": true + } + } + } + } + } + } + } + } + """; + + String docStr = """ + { + "obj1.obj2.emb": [1.0, 2.0, 3.0] + } + """; + + var mapperService = createMapperService(mappingStr); + var expected = new SourceToParse("1", new BytesArray(docStr), XContentType.JSON); + var parsedDoc = mapperService.documentMapper().parse(expected); + withLuceneIndex(mapperService, w -> w.addDocuments(parsedDoc.docs()), reader -> { + var provider = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()); + var actual = provider.getSource(reader.leaves().get(0).reader().getContext(), 0); + assertToXContentEquivalent(actual.internalSourceRef(), expected.source(), expected.getXContentType()); + }); + } + @Override protected IngestScriptSupport ingestScriptSupport() { throw new AssumptionViolatedException("not supported"); @@ -2061,6 +2106,90 @@ public List invalidExample() { } } + public void testInvalidPatchSourceWithSynthetic() { + var exc = expectThrows(MapperParsingException.class, () -> createMapperService(syntheticSourceMapping(b -> { + b.startObject("field"); + b.field("patch_source", true); + minimalMapping(b); + b.endObject(); + }))); + assertThat(exc.getMessage(), containsString("patch_source")); + } + + public void testPatchSource() throws IOException { + for (var elementType : ElementType.values()) { + var mapperService = createMapperService(mapping(b -> { + // field + b.startObject("field"); + b.field("patch_source", true); + b.field("type", "dense_vector"); + b.field("element_type", elementType.toString()); + b.field("dims", 3 * (elementType.equals(ElementType.BIT) ? 8 : 1)); + b.field("similarity", "l2_norm"); + b.endObject(); + })); + final Object vector; + if (elementType.equals(ElementType.FLOAT)) { + vector = new double[] { 1, 2, 3 }; + } else { + vector = new int[] { 1, 2, 3 }; + } + assertSourcePatch(mapperService, Map.of("field", vector), true); + } + } + + public void testPatchSourceNested() throws IOException { + for (var elementType : ElementType.values()) { + var mapperService = createMapperService(mapping(b -> { + // nested + b.startObject("nested"); + b.field("type", "nested"); + b.startObject("properties"); + + // nested.field + b.startObject("field"); + b.field("patch_source", true); + b.field("type", "dense_vector"); + b.field("element_type", elementType.toString()); + b.field("dims", 3 * (elementType.equals(ElementType.BIT) ? 8 : 1)); + b.field("similarity", "l2_norm"); + b.endObject(); + + // nested.another_field + b.startObject("another_field"); + b.field("type", "long"); + b.endObject(); + + b.endObject(); + b.endObject(); + + // another_field + b.startObject("another_field"); + b.field("type", "long"); + b.endObject(); + })); + final Object vector1; + final Object vector2; + if (elementType.equals(ElementType.FLOAT)) { + vector1 = new double[] { 1, 2, 3 }; + vector2 = new double[] { 4, 5, 6 }; + } else { + vector1 = new int[] { 1, 2, 3 }; + vector2 = new int[] { 4, 5, 6 }; + } + assertSourcePatch( + mapperService, + Map.of( + "nested", + List.of(Map.of("field", vector1, "another_field", 65), Map.of(), Map.of("field", vector2), Map.of("another_field", 32)), + "another_field", + 75 + ), + true + ); + } + } + @Override public void testSyntheticSourceKeepArrays() { // The mapper expects to parse an array of values by default, it's not compatible with array of arrays. diff --git a/server/src/test/java/org/elasticsearch/search/fetch/subphase/FieldFetcherTests.java b/server/src/test/java/org/elasticsearch/search/fetch/subphase/FieldFetcherTests.java index f01f760ed71c3..7ff2fa2b89e2b 100644 --- a/server/src/test/java/org/elasticsearch/search/fetch/subphase/FieldFetcherTests.java +++ b/server/src/test/java/org/elasticsearch/search/fetch/subphase/FieldFetcherTests.java @@ -253,7 +253,8 @@ public void testMetadataFields() throws IOException { LeafReaderContext readerContext = searcher.getIndexReader().leaves().get(0); fieldFetcher.setNextReader(readerContext); - Source s = SourceProvider.fromStoredFields().getSource(readerContext, 0); + Source s = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) + .getSource(readerContext, 0); Map fetchedFields = fieldFetcher.fetch(s, 0); assertThat(fetchedFields.size(), equalTo(5)); @@ -1539,7 +1540,8 @@ public void testFetchRuntimeFieldWithSourceDisabled() throws IOException { IndexSearcher searcher = newSearcher(iw); LeafReaderContext readerContext = searcher.getIndexReader().leaves().get(0); fieldFetcher.setNextReader(readerContext); - Source source = SourceProvider.fromStoredFields().getSource(readerContext, 0); + Source source = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) + .getSource(readerContext, 0); Map fields = fieldFetcher.fetch(source, 0); assertEquals(1, fields.size()); DocumentField field = fields.get("runtime_field"); diff --git a/server/src/test/java/org/elasticsearch/search/lookup/SourceProviderTests.java b/server/src/test/java/org/elasticsearch/search/lookup/SourceProviderTests.java index b7ff79f7abd30..90c46773a96b4 100644 --- a/server/src/test/java/org/elasticsearch/search/lookup/SourceProviderTests.java +++ b/server/src/test/java/org/elasticsearch/search/lookup/SourceProviderTests.java @@ -27,6 +27,8 @@ import org.apache.lucene.store.Directory; import org.apache.lucene.tests.index.RandomIndexWriter; import org.apache.lucene.util.BytesRef; +import org.elasticsearch.index.mapper.MappingLookup; +import org.elasticsearch.index.mapper.SourceFieldMetrics; import org.elasticsearch.test.ESTestCase; import java.io.IOException; @@ -46,7 +48,7 @@ public void testStoredFieldsSourceProvider() throws IOException { try (IndexReader reader = iw.getReader()) { LeafReaderContext readerContext = reader.leaves().get(0); - SourceProvider sourceProvider = SourceProvider.fromStoredFields(); + SourceProvider sourceProvider = SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP); Source source = sourceProvider.getSource(readerContext, 0); assertNotNull(source.internalSourceRef()); @@ -121,7 +123,7 @@ public ScoreMode scoreMode() { } private static CollectorManager assertingCollectorManager() { - SourceProvider sourceProvider = SourceProvider.fromStoredFields(); + SourceProvider sourceProvider = SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP); return new CollectorManager<>() { @Override public SourceAssertingCollector newCollector() { diff --git a/server/src/test/java/org/elasticsearch/search/runtime/GeoPointScriptFieldDistanceFeatureQueryTests.java b/server/src/test/java/org/elasticsearch/search/runtime/GeoPointScriptFieldDistanceFeatureQueryTests.java index d1fa8613ea393..87ba2d1c48ed9 100644 --- a/server/src/test/java/org/elasticsearch/search/runtime/GeoPointScriptFieldDistanceFeatureQueryTests.java +++ b/server/src/test/java/org/elasticsearch/search/runtime/GeoPointScriptFieldDistanceFeatureQueryTests.java @@ -26,7 +26,9 @@ import org.elasticsearch.common.geo.GeoPoint; import org.elasticsearch.common.geo.GeoUtils; import org.elasticsearch.index.mapper.GeoPointScriptFieldType; +import org.elasticsearch.index.mapper.MappingLookup; import org.elasticsearch.index.mapper.OnScriptError; +import org.elasticsearch.index.mapper.SourceFieldMetrics; import org.elasticsearch.script.AbstractLongFieldScript; import org.elasticsearch.script.GeoPointFieldScript; import org.elasticsearch.script.Script; @@ -93,7 +95,11 @@ public void testMatches() throws IOException { try (DirectoryReader reader = iw.getReader()) { IndexSearcher searcher = newSearcher(reader); - SearchLookup searchLookup = new SearchLookup(null, null, SourceProvider.fromStoredFields()); + SearchLookup searchLookup = new SearchLookup( + null, + null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ); Function leafFactory = ctx -> new GeoPointFieldScript( "test", Map.of(), diff --git a/server/src/test/java/org/elasticsearch/search/runtime/LongScriptFieldDistanceFeatureQueryTests.java b/server/src/test/java/org/elasticsearch/search/runtime/LongScriptFieldDistanceFeatureQueryTests.java index 0627a88284ac0..eb2e188f9e1f8 100644 --- a/server/src/test/java/org/elasticsearch/search/runtime/LongScriptFieldDistanceFeatureQueryTests.java +++ b/server/src/test/java/org/elasticsearch/search/runtime/LongScriptFieldDistanceFeatureQueryTests.java @@ -18,7 +18,9 @@ import org.apache.lucene.store.Directory; import org.apache.lucene.tests.index.RandomIndexWriter; import org.apache.lucene.util.BytesRef; +import org.elasticsearch.index.mapper.MappingLookup; import org.elasticsearch.index.mapper.OnScriptError; +import org.elasticsearch.index.mapper.SourceFieldMetrics; import org.elasticsearch.script.AbstractLongFieldScript; import org.elasticsearch.script.DateFieldScript; import org.elasticsearch.script.Script; @@ -71,7 +73,11 @@ public void testMatches() throws IOException { iw.addDocument(List.of(new StoredField("_source", new BytesRef("{\"timestamp\": [1595432181351]}")))); try (DirectoryReader reader = iw.getReader()) { IndexSearcher searcher = newSearcher(reader); - SearchLookup searchLookup = new SearchLookup(null, null, SourceProvider.fromStoredFields()); + SearchLookup searchLookup = new SearchLookup( + null, + null, + SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP) + ); Function leafFactory = ctx -> new DateFieldScript( "test", Map.of(), diff --git a/test/framework/src/main/java/org/elasticsearch/index/mapper/AbstractScriptFieldTypeTestCase.java b/test/framework/src/main/java/org/elasticsearch/index/mapper/AbstractScriptFieldTypeTestCase.java index 98f18829966c7..79a8589381079 100644 --- a/test/framework/src/main/java/org/elasticsearch/index/mapper/AbstractScriptFieldTypeTestCase.java +++ b/test/framework/src/main/java/org/elasticsearch/index/mapper/AbstractScriptFieldTypeTestCase.java @@ -287,7 +287,7 @@ protected boolean supportsRangeQueries() { } protected static SearchExecutionContext mockContext(boolean allowExpensiveQueries, MappedFieldType mappedFieldType) { - return mockContext(allowExpensiveQueries, mappedFieldType, SourceProvider.fromStoredFields()); + return mockContext(allowExpensiveQueries, mappedFieldType, SourceProvider.fromLookup(MappingLookup.EMPTY, SourceFieldMetrics.NOOP)); } protected static SearchExecutionContext mockContext( diff --git a/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperServiceTestCase.java b/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperServiceTestCase.java index a9ee0317ce1ee..916105ec349d8 100644 --- a/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperServiceTestCase.java +++ b/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperServiceTestCase.java @@ -350,7 +350,7 @@ protected static void withLuceneIndex( ); try (Directory dir = newDirectory(); RandomIndexWriter iw = new RandomIndexWriter(random(), dir, iwc)) { builder.accept(iw); - try (DirectoryReader reader = iw.getReader()) { + try (DirectoryReader reader = wrapInMockESDirectoryReader(iw.getReader())) { test.accept(reader); } } @@ -850,7 +850,7 @@ protected static String syntheticSource(DocumentMapper mapper, IndexReader reade final String synthetic1; final XContent xContent; { - SourceProvider provider = SourceProvider.fromSyntheticSource(mapper.mapping(), SourceFieldMetrics.NOOP); + SourceProvider provider = SourceProvider.fromLookup(mapper.mappers(), SourceFieldMetrics.NOOP); var source = provider.getSource(leafReader.getContext(), docId); synthetic1 = source.internalSourceRef().utf8ToString(); xContent = source.sourceContentType().xContent(); @@ -859,7 +859,10 @@ protected static String syntheticSource(DocumentMapper mapper, IndexReader reade final String synthetic2; { int[] docIds = new int[] { docId }; - SourceLoader sourceLoader = new SourceLoader.Synthetic(mapper.mapping()::syntheticFieldLoader, SourceFieldMetrics.NOOP); + SourceLoader sourceLoader = new SourceLoader.Synthetic( + () -> mapper.mapping().syntheticFieldLoader(null), + SourceFieldMetrics.NOOP + ); var sourceLeafLoader = sourceLoader.leaf(getOnlyLeafReader(reader), docIds); var storedFieldLoader = StoredFieldLoader.create(false, sourceLoader.requiredStoredFields()) .getLoader(leafReader.getContext(), docIds); diff --git a/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperTestCase.java b/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperTestCase.java index a7d18ff782400..d215ceb90237b 100644 --- a/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperTestCase.java +++ b/test/framework/src/main/java/org/elasticsearch/index/mapper/MapperTestCase.java @@ -539,7 +539,7 @@ protected final List fetchFromDocValues(MapperService mapperService, MappedFi SearchLookup lookup = new SearchLookup( mapperService::fieldType, fieldDataLookup(mapperService), - SourceProvider.fromStoredFields() + SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) ); ValueFetcher valueFetcher = new DocValueFetcher(format, lookup.getForField(ft, MappedFieldType.FielddataOperation.SEARCH)); IndexSearcher searcher = newSearcher(iw); @@ -560,7 +560,7 @@ protected static void assertScriptDocValues(MapperService mapperService, Object MappedFieldType ft = mapperService.fieldType("field"); SourceProvider sourceProvider = mapperService.mappingLookup().isSourceSynthetic() ? (ctx, doc) -> { throw new IllegalArgumentException("Can't load source in scripts in synthetic mode"); - } : SourceProvider.fromStoredFields(); + } : SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()); SearchLookup searchLookup = new SearchLookup(null, null, sourceProvider); IndexFieldData sfd = ft.fielddataBuilder( new FieldDataContext( @@ -859,7 +859,8 @@ protected void assertFetch(MapperService mapperService, String field, Object val ValueFetcher nativeFetcher = ft.valueFetcher(searchExecutionContext, format); ParsedDocument doc = mapperService.documentMapper().parse(source); withLuceneIndex(mapperService, iw -> iw.addDocuments(doc.docs()), ir -> { - Source s = SourceProvider.fromStoredFields().getSource(ir.leaves().get(0), 0); + Source s = SourceProvider.fromLookup(mapperService.mappingLookup(), mapperService.getMapperMetrics().sourceFieldMetrics()) + .getSource(ir.leaves().get(0), 0); docValueFetcher.setNextReader(ir.leaves().get(0)); nativeFetcher.setNextReader(ir.leaves().get(0)); List fromDocValues = docValueFetcher.fetchValues(s, 0, new ArrayList<>()); @@ -1206,7 +1207,7 @@ public final void testSyntheticSourceMany() throws IOException { } try (DirectoryReader reader = DirectoryReader.open(directory)) { int i = 0; - SourceLoader loader = mapper.sourceMapper().newSourceLoader(mapper.mapping(), SourceFieldMetrics.NOOP); + SourceLoader loader = mapper.sourceMapper().newSourceLoader(null, mapper.mapping(), SourceFieldMetrics.NOOP); StoredFieldLoader storedFieldLoader = loader.requiredStoredFields().isEmpty() ? StoredFieldLoader.empty() : StoredFieldLoader.create(false, loader.requiredStoredFields());