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.buildkite/pipelines/periodic-packaging.template.yml

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matrix:
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setup:
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image:
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- windows-2016
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- windows-2019
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- windows-2022
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agents:
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provider: gcp

.buildkite/pipelines/periodic-packaging.yml

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matrix:
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setup:
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image:
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- windows-2016
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- windows-2019
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- windows-2022
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agents:
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provider: gcp

.buildkite/pipelines/periodic-platform-support.yml

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- windows-2016
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- windows-2019
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GRADLE_TASK:
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- checkPart1

.buildkite/pipelines/pull-request/packaging-tests-windows-sample.yml

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PACKAGING_TASK:
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- default-windows-archive
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.buildkite/pipelines/pull-request/packaging-tests-windows.yml

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.ci/dockerOnLinuxExclusions

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sles-15.3
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sles-15.4
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sles-15.5
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sles-15.6
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# These OSes are deprecated and filtered starting with 8.0.0, but need to be excluded
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# for PR checks

.github/CODEOWNERS

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server/src/main/java/org/elasticsearch/node @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/plugins @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/threadpool @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/breaker @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/bytes @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/cli @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/collect @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/component @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/compress @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/document @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/file @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/hash @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/io @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/logging @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/metrics @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/network @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/path @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/recycler @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/regex @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/scheduler @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/settings @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/text @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/time @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/transport @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/unit @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/util @elastic/es-core-infra
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server/src/main/java/org/elasticsearch/common/xcontent @elastic/es-core-infra
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# Security
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x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/security/authz/privilege @elastic/es-security

.github/workflows/sync-main-to-jdk-branch.yml

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README.asciidoc

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Use cases enabled by Elasticsearch include:
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* https://www.elastic.co/search-labs/blog/articles/retrieval-augmented-generation-rag[Retrieval Augmented Generation (RAG)]
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* https://www.elastic.co/search-labs/blog/articles/retrieval-augmented-generation-rag[Retrieval Augmented Generation (RAG)]
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* https://www.elastic.co/search-labs/blog/categories/vector-search[Vector search]
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* Full-text search
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* Logs
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To learn more about Elasticsearch's features and capabilities, see our
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https://www.elastic.co/products/elasticsearch[product page].
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To access information on https://www.elastic.co/search-labs/blog/categories/ml-research[machine learning innovations] and the latest https://www.elastic.co/search-labs/blog/categories/lucene[Lucene contributions from Elastic], more information can be found in https://www.elastic.co/search-labs[Search Labs].
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To access information on https://www.elastic.co/search-labs/blog/categories/ml-research[machine learning innovations] and the latest https://www.elastic.co/search-labs/blog/categories/lucene[Lucene contributions from Elastic], more information can be found in https://www.elastic.co/search-labs[Search Labs].
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[[get-started]]
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== Get started
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Cloud].
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If you prefer to install and manage Elasticsearch yourself, you can download
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the latest version from
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https://www.elastic.co/downloads/elasticsearch[elastic.co/downloads/elasticsearch].
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=== Run Elasticsearch locally
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////
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////
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IMPORTANT: This content is replicated in the Elasticsearch repo. See `run-elasticsearch-locally.asciidoc`.
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Ensure both files are in sync.
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https://github.com/elastic/start-local is the source of truth.
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////
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////
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[WARNING]
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====
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====
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DO NOT USE THESE INSTRUCTIONS FOR PRODUCTION DEPLOYMENTS.
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----
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=== Send requests to Elasticsearch
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You send data and other requests to Elasticsearch through REST APIs.
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You can interact with Elasticsearch using any client that sends HTTP requests,
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You send data and other requests to Elasticsearch through REST APIs.
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You can interact with Elasticsearch using any client that sends HTTP requests,
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such as the https://www.elastic.co/guide/en/elasticsearch/client/index.html[Elasticsearch
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language clients] and https://curl.se[curl].
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language clients] and https://curl.se[curl].
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==== Using curl
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==== Using the Dev Tools Console
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Kibana's developer console provides an easy way to experiment and test requests.
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To access the console, open Kibana, then go to **Management** > **Dev Tools**.
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**Add data**
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You index data into Elasticsearch by sending JSON objects (documents) through the REST APIs.
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Whether you have structured or unstructured text, numerical data, or geospatial data,
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Elasticsearch efficiently stores and indexes it in a way that supports fast searches.
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You index data into Elasticsearch by sending JSON objects (documents) through the REST APIs.
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Whether you have structured or unstructured text, numerical data, or geospatial data,
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To add a single document to an index, submit an HTTP post request that targets the index.
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This request automatically creates the `customer` index if it doesn't exist,
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The new document is available immediately from any node in the cluster.
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**Search**
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The following search matches all customers with a first name of _Jennifer_
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. Go to **Management > Stack Management > Kibana > Data Views**.
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. Enter a name for the data view and a pattern that matches one or more indices,
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. Enter a name for the data view and a pattern that matches one or more indices,
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. Select **Save data view to Kibana**.
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[[contribute]]
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== Contribute
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For contribution guidelines, see xref:CONTRIBUTING.md[CONTRIBUTING].
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[[questions]]
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== Questions? Problems? Suggestions?

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