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This change isolates the Jackson implementation of x-content parsers and generators to a separate classloader. The code is loaded dynamically upon accessing any x-content functionality.

The x-content implementation is embedded inside the x-content jar, as a hidden set of resource files. These are loaded through a special classloader created to initialize the XContentProvider through service loader. One caveat to this approach is that IDEs will no longer trigger building the x-content implementation when it changes. However, running any test from the command line, or running a full Build in IntelliJ will trigger the directory to be built.

Co-authored-by: ChrisHegarty <[email protected]>
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Elasticsearch

Elasticsearch is the distributed, RESTful search and analytics engine at the heart of the Elastic Stack. You can use Elasticsearch to store, search, and manage data for:

  • Logs

  • Metrics

  • A search backend

  • Application monitoring

  • Endpoint security

... and more!

To learn more about Elasticsearch’s features and capabilities, see our product page.

Get started

The simplest way to set up Elasticsearch is to create a managed deployment with Elasticsearch Service on Elastic Cloud.

If you prefer to install and manage Elasticsearch yourself, you can download the latest version from elastic.co/downloads/elasticsearch.

For more installation options, see the Elasticsearch installation documentation.

Upgrade

To upgrade from an earlier version of Elasticsearch, see the Elasticsearch upgrade documentation.

Build from source

Elasticsearch uses Gradle for its build system.

To build a distribution for your local OS and print its output location upon completion, run:

./gradlew localDistro

To build a distribution for another platform, run the related command:

./gradlew :distribution:archives:linux-tar:assemble
./gradlew :distribution:archives:darwin-tar:assemble
./gradlew :distribution:archives:windows-zip:assemble

To build distributions for all supported platforms, run:

./gradlew assemble

Distributions are output to distributions/archives.

To run the test suite, see TESTING.

Documentation

For the complete Elasticsearch documentation visit elastic.co.

For information about our documentation processes, see the docs README.

Contribute

For contribution guidelines, see CONTRIBUTING.

Questions? Problems? Suggestions?

  • To report a bug or request a feature, create a GitHub Issue. Please ensure someone else hasn’t created an issue for the same topic.

  • Need help using Elasticsearch? Reach out on the Elastic Forum or Slack. A fellow community member or Elastic engineer will be happy to help you out.