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The arrangement of the final latch meant the latch could countdown, then the test ends before the await() triggers which caused the thread to be interrupted and fail. The whole arrangement was incorrect anyhow. We need to await the latch before sending the search response as before, but move the final atomicBoolean to the second time the persistent task status is updated which is a signal that we are done and can end the test If these tests continues to be flaky, we should probably just remove them. The headers are tested elsewhere and not required to be tested in this context. Original commit: elastic/x-pack-elasticsearch@0cf5603972
= Elasticsearch X-Pack A set of Elastic's commercial plugins for Elasticsearch: - License - Security - Watcher - Monitoring - Machine Learning - Graph = Setup You must checkout `x-pack-elasticsearch` and `elasticsearch` with a specific directory structure. The `elasticsearch` checkout will be used when building `x-pack-elasticsearch`. The structure is: - /path/to/elastic/elasticsearch - /path/to/elastic/elasticsearch-extra/x-pack-elasticsearch == Vault Secret The build requires a Vault Secret ID. You can use a GitHub token by following these steps: 1. Go to https://github.com/settings/tokens 2. Click *Generate new token* 3. Set permissions to `read:org` 4. Copy the token into `~/.elastic/github.token` 5. Set the token's file permissions to `600` ``` $ mkdir ~/.elastic $ vi ~/.elastic/github.token # Add your_token exactly as it is into the file and save it $ chmod 600 ~/.elastic/github.token ``` If you do not create the token, then you will see something along the lines of this as the failure when trying to build X-Pack: ``` * What went wrong: Missing ~/.elastic/github.token file or VAULT_SECRET_ID environment variable, needed to authenticate with vault for secrets ``` === Offline Mode When running the build in offline mode (`--offline`), it will not required to have the vault secret setup. == Native Code **This is mandatory as tests depend on it** Machine Learning requires platform specific binaries, build from https://github.com/elastic/machine-learning-cpp via CI servers. The native artifacts are stored in S3. To retrieve them infra's team Vault service is utilized, which requires a github token. Please setup a github token as documented: https://github.com/elastic/infra/blob/master/docs/vault.md#github-auth The github token has to be put into ~/.elastic/github.token, while the file rights must be set to 0600. = Build - Run unit tests: + [source, txt] ----- gradle clean test ----- - Run all tests: + [source, txt] ----- gradle clean check ----- - Run integration tests: + [source, txt] ----- gradle clean integTest ----- - Package X-Pack (without running tests) + [source, txt] ----- gradle clean assemble ----- - Install X-Pack (without running tests) + [source, txt] ----- gradle clean install ----- = Building documentation The source files in this repository can be included in either the X-Pack Reference or the Elasticsearch Reference. NOTE: In 5.4 and later, the Elasticsearch Reference includes X-Pack-specific content that is pulled from this repo. To build the Elasticsearch Reference on your local machine, use the `docbldes` or `docbldesx` build commands defined in https://github.com/elastic/docs/blob/master/doc_build_aliases.sh == Adding Images When you include an image in the documentation, specify the path relative to the location of the asciidoc file. By convention, we put images in an `images` subdirectory. For example to insert `watcher-ui-edit-watch.png` in `watcher/limitations.asciidoc`: . Add an `images` subdirectory to the watcher directory if it doesn't already exist. . In `limitations.asciidoc` specify: + [source, txt] ----- image::images/watcher-ui-edit-watch.png["Editing a watch"] ----- Please note that image names and anchor IDs must be unique within the book, so do not use generic identifiers.