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Merge main into kderusso/esql-extract-snippets
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steps:
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- label: ":pipeline: TODO"
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command: echo TODO

.buildkite/pull-requests.json

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"trigger_comment_regex": "(run\\W+elasticsearch-ci.+)|(^\\s*((buildkite|@elastic(search)?machine)\\s*)?test\\s+this(\\s+please)?)",
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"cancel_intermediate_builds": true,
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"cancel_intermediate_builds_on_comment": false
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},
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{
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"enabled": true,
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"pipeline_slug": "elasticsearch-pull-request-performance-benchmark",
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"allow_org_users": true,
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"allowed_repo_permissions": [
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"admin",
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"write"
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],
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"set_commit_status": false,
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"build_on_commit": false,
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"build_on_comment": true,
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"trigger_comment_regex": "^(buildkite|@elastic(search)?machine) benchmark this with (?<benchmark>\\w+)( please)?$"
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}
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]
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}

.gitignore

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@@ -69,7 +69,7 @@ testfixtures_shared/
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# Generated
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checkstyle_ide.xml
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x-pack/plugin/esql/src/main/generated-src/generated/
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server/src/main/resources/transport/defined/manifest.txt
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server/src/main/resources/transport/definitions/manifest.txt
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# JEnv
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.java-version

BUILDING.md

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@@ -92,7 +92,7 @@ uses the changed dependencies. In most cases, `precommit` or `check` are good ca
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We prefer sha256 checksums as md5 and sha1 are not considered safe anymore these days. The generated entry
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will have the `origin` attribute been set to `Generated by Gradle`.
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> [!Tip]
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> [!Tip]
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> A manual confirmation of the Gradle generated checksums is currently not mandatory.
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> If you want to add a level of verification you can manually confirm the checksum (e.g. by looking it up on the website of the library)
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> Please replace the content of the `origin` attribute by `official site` in that case.
@@ -186,6 +186,25 @@ dependencies {
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To test an unreleased development version of a third party dependency you have several options.
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### How do I test against java early access (ea) versions?
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Currently only openjdk EA builds by oracle are supported.
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To test against an early access version java version you can pass the major
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java version appended with `-ea` as a system property (e.g. -Druntime.java=26-ea) to the Gradle build:
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```
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./gradlew clean test -Druntime.java=26-ea
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```
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This will run the tests using the JDK 26 EA version and pick the latest available build of the matching JDK EA version we expose
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in our custom jdk catalogue at `https://storage.googleapis.com/elasticsearch-jdk-archive/jdks/openjdk/latest.json`.
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To run against a specific build number of the EA build you can pass a second system property (e.g. `-Druntime.java.build=6`):
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```
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./gradlew clean test -Druntime.java=26-ea -Druntime.java.build=6
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```
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#### How to use a Maven based third party dependency via `mavenlocal`?
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1. Clone the third party repository locally
@@ -229,7 +248,7 @@ In addition to snapshot builds JitPack supports building Pull Requests. Simply u
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3. Run the Gradle build as needed. Keep in mind the initial resolution might take a bit longer as this needs to be built
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by JitPack in the background before we can resolve the adhoc built dependency.
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> [!Note]
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> [!Note]
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> You should only use that approach locally or on a developer branch for production dependencies as we do
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not want to ship unreleased libraries into our releases.
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```
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4. Run the Gradle build as needed with `--write-verification-metadata` to ensure the Gradle dependency verification does not fail on your custom dependency.
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> [!Note]
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> [!Note]
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> As Gradle prefers to use modules whose descriptor has been created from real meta-data rather than being generated,
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flat directory repositories cannot be used to override artifacts with real meta-data from other repositories declared in the build.
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> For example, if Gradle finds only `jmxri-1.2.1.jar` in a flat directory repository, but `jmxri-1.2.1.pom` in another repository

benchmarks/build.gradle

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@@ -47,6 +47,7 @@ dependencies {
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api(project(':x-pack:plugin:core'))
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api(project(':x-pack:plugin:esql'))
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api(project(':x-pack:plugin:esql:compute'))
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api(project(':x-pack:plugin:mapper-exponential-histogram'))
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implementation project(path: ':libs:native')
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implementation project(path: ':libs:simdvec')
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implementation project(path: ':libs:exponential-histogram')

benchmarks/src/main/java/org/elasticsearch/benchmark/_nightly/esql/QueryPlanningBenchmark.java

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var fields = 10_000;
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var mapping = LinkedHashMap.<String, EsField>newLinkedHashMap(fields);
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for (int i = 0; i < fields; i++) {
95-
mapping.put("field" + i, new EsField("field-" + i, TEXT, emptyMap(), true));
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// We're creating a standard index, so none of these fields should be marked as dimensions.
96+
mapping.put("field" + i, new EsField("field-" + i, TEXT, emptyMap(), true, EsField.TimeSeriesFieldType.NONE));
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}
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var esIndex = new EsIndex("test", mapping, Map.of("test", IndexMode.STANDARD));
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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the "Elastic License
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* 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
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* Public License v 1"; you may not use this file except in compliance with, at
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* your election, the "Elastic License 2.0", the "GNU Affero General Public
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* License v3.0 only", or the "Server Side Public License, v 1".
8+
*/
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package org.elasticsearch.benchmark.common.network;
11+
12+
import org.elasticsearch.common.network.InetAddresses;
13+
import org.elasticsearch.xcontent.Text;
14+
import org.elasticsearch.xcontent.XContentString;
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import org.openjdk.jmh.annotations.Benchmark;
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import org.openjdk.jmh.annotations.BenchmarkMode;
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import org.openjdk.jmh.annotations.Fork;
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import org.openjdk.jmh.annotations.Measurement;
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import org.openjdk.jmh.annotations.Mode;
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import org.openjdk.jmh.annotations.OutputTimeUnit;
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import org.openjdk.jmh.annotations.Param;
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import org.openjdk.jmh.annotations.Scope;
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import org.openjdk.jmh.annotations.Setup;
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import org.openjdk.jmh.annotations.State;
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import org.openjdk.jmh.annotations.Warmup;
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import org.openjdk.jmh.infra.Blackhole;
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import java.net.InetAddress;
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import java.net.UnknownHostException;
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import java.util.Random;
31+
import java.util.concurrent.TimeUnit;
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33+
@Warmup(iterations = 2)
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@Measurement(iterations = 3)
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@BenchmarkMode(Mode.Throughput)
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@OutputTimeUnit(TimeUnit.SECONDS)
37+
@State(Scope.Benchmark)
38+
@Fork(1)
39+
public class IpAddressesBenchmarks {
40+
41+
@Param("1000")
42+
private int size;
43+
private String[] ipV6Addresses;
44+
private String[] ipV4Addresses;
45+
private XContentString[] ipV6AddressesBytes;
46+
private XContentString[] ipV4AddressesBytes;
47+
48+
@Setup
49+
public void setup() throws UnknownHostException {
50+
Random random = new Random();
51+
ipV6Addresses = new String[size];
52+
ipV4Addresses = new String[size];
53+
ipV6AddressesBytes = new XContentString[size];
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ipV4AddressesBytes = new XContentString[size];
55+
byte[] ipv6Bytes = new byte[16];
56+
byte[] ipv4Bytes = new byte[4];
57+
for (int i = 0; i < size; i++) {
58+
random.nextBytes(ipv6Bytes);
59+
random.nextBytes(ipv4Bytes);
60+
String ipv6String = InetAddresses.toAddrString(InetAddress.getByAddress(ipv6Bytes));
61+
String ipv4String = InetAddresses.toAddrString(InetAddress.getByAddress(ipv4Bytes));
62+
ipV6Addresses[i] = ipv6String;
63+
ipV4Addresses[i] = ipv4String;
64+
ipV6AddressesBytes[i] = new Text(ipv6String);
65+
ipV4AddressesBytes[i] = new Text(ipv4String);
66+
}
67+
}
68+
69+
@Benchmark
70+
public boolean isInetAddressIpv6() {
71+
boolean b = true;
72+
for (int i = 0; i < size; i++) {
73+
b ^= InetAddresses.isInetAddress(ipV6Addresses[i]);
74+
}
75+
return b;
76+
}
77+
78+
@Benchmark
79+
public boolean isInetAddressIpv4() {
80+
boolean b = true;
81+
for (int i = 0; i < size; i++) {
82+
b ^= InetAddresses.isInetAddress(ipV4Addresses[i]);
83+
}
84+
return b;
85+
}
86+
87+
@Benchmark
88+
public void getIpOrHostIpv6(Blackhole blackhole) {
89+
for (int i = 0; i < size; i++) {
90+
blackhole.consume(InetAddresses.getIpOrHost(ipV6Addresses[i]));
91+
}
92+
}
93+
94+
@Benchmark
95+
public void getIpOrHostIpv4(Blackhole blackhole) {
96+
for (int i = 0; i < size; i++) {
97+
blackhole.consume(InetAddresses.forString(ipV4Addresses[i]));
98+
}
99+
}
100+
101+
@Benchmark
102+
public void forStringIpv6String(Blackhole blackhole) {
103+
for (int i = 0; i < size; i++) {
104+
blackhole.consume(InetAddresses.forString(ipV6Addresses[i]));
105+
}
106+
}
107+
108+
@Benchmark
109+
public void forStringIpv4String(Blackhole blackhole) {
110+
for (int i = 0; i < size; i++) {
111+
blackhole.consume(InetAddresses.forString(ipV4Addresses[i]));
112+
}
113+
}
114+
115+
@Benchmark
116+
public void forStringIpv6Bytes(Blackhole blackhole) {
117+
for (int i = 0; i < size; i++) {
118+
blackhole.consume(InetAddresses.forString(ipV6AddressesBytes[i].bytes()));
119+
}
120+
}
121+
122+
@Benchmark
123+
public void forStringIpv4Bytes(Blackhole blackhole) {
124+
for (int i = 0; i < size; i++) {
125+
blackhole.consume(InetAddresses.forString(ipV4AddressesBytes[i].bytes()));
126+
}
127+
}
128+
129+
@Benchmark
130+
public void encodeAsIpv6WithIpv6(Blackhole blackhole) {
131+
for (int i = 0; i < size; i++) {
132+
blackhole.consume(InetAddresses.encodeAsIpv6(ipV6AddressesBytes[i]));
133+
}
134+
}
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@Benchmark
137+
public void encodeAsIpv6WithIpv4(Blackhole blackhole) {
138+
for (int i = 0; i < size; i++) {
139+
blackhole.consume(InetAddresses.encodeAsIpv6(ipV4AddressesBytes[i]));
140+
}
141+
}
142+
}

benchmarks/src/main/java/org/elasticsearch/benchmark/compute/operator/EvalBenchmark.java

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212212
FieldAttribute timestamp = new FieldAttribute(
213213
Source.EMPTY,
214214
"timestamp",
215-
new EsField("timestamp", DataType.DATETIME, Map.of(), true)
215+
new EsField("timestamp", DataType.DATETIME, Map.of(), true, EsField.TimeSeriesFieldType.NONE)
216216
);
217217
yield EvalMapper.toEvaluator(
218218
FOLD_CONTEXT,
@@ -321,19 +321,35 @@ private static EvalOperator.ExpressionEvaluator evaluator(String operation) {
321321
}
322322

323323
private static FieldAttribute longField() {
324-
return new FieldAttribute(Source.EMPTY, "long", new EsField("long", DataType.LONG, Map.of(), true));
324+
return new FieldAttribute(
325+
Source.EMPTY,
326+
"long",
327+
new EsField("long", DataType.LONG, Map.of(), true, EsField.TimeSeriesFieldType.NONE)
328+
);
325329
}
326330

327331
private static FieldAttribute doubleField() {
328-
return new FieldAttribute(Source.EMPTY, "double", new EsField("double", DataType.DOUBLE, Map.of(), true));
332+
return new FieldAttribute(
333+
Source.EMPTY,
334+
"double",
335+
new EsField("double", DataType.DOUBLE, Map.of(), true, EsField.TimeSeriesFieldType.NONE)
336+
);
329337
}
330338

331339
private static FieldAttribute intField() {
332-
return new FieldAttribute(Source.EMPTY, "int", new EsField("int", DataType.INTEGER, Map.of(), true));
340+
return new FieldAttribute(
341+
Source.EMPTY,
342+
"int",
343+
new EsField("int", DataType.INTEGER, Map.of(), true, EsField.TimeSeriesFieldType.NONE)
344+
);
333345
}
334346

335347
private static FieldAttribute keywordField() {
336-
return new FieldAttribute(Source.EMPTY, "keyword", new EsField("keyword", DataType.KEYWORD, Map.of(), true));
348+
return new FieldAttribute(
349+
Source.EMPTY,
350+
"keyword",
351+
new EsField("keyword", DataType.KEYWORD, Map.of(), true, EsField.TimeSeriesFieldType.NONE)
352+
);
337353
}
338354

339355
private static Configuration configuration() {

benchmarks/src/main/java/org/elasticsearch/benchmark/exponentialhistogram/ExponentialHistogramGenerationBench.java

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1010
package org.elasticsearch.benchmark.exponentialhistogram;
1111

12+
import org.elasticsearch.exponentialhistogram.ExponentialHistogramCircuitBreaker;
1213
import org.elasticsearch.exponentialhistogram.ExponentialHistogramGenerator;
1314
import org.openjdk.jmh.annotations.Benchmark;
1415
import org.openjdk.jmh.annotations.BenchmarkMode;
@@ -59,7 +60,7 @@ public class ExponentialHistogramGenerationBench {
5960
@Setup
6061
public void setUp() {
6162
random = ThreadLocalRandom.current();
62-
histoGenerator = new ExponentialHistogramGenerator(bucketCount);
63+
histoGenerator = ExponentialHistogramGenerator.create(bucketCount, ExponentialHistogramCircuitBreaker.noop());
6364

6465
DoubleSupplier nextRandom = () -> distribution.equals("GAUSSIAN") ? random.nextGaussian() : random.nextDouble();
6566

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