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* [ML] Allow summary_count_field_name to be set to custom field ... in aggregated datafeeds. This allows implementing e.g. distinct_count anomaly detection with aggregations. (see case 1 in elastic/x-pack-elasticsearch#659) Relates to elastic/x-pack-elasticsearch#659 * [ML] Handle multiple leaf aggregations This commit allows multiple numeric leaf aggregations. That enables use cases where the data are presummarised and thus the summary count field is a sum aggregation on the event rate field. (see 2 in elastic/x-pack-elasticsearch#659) Relates to elastic/x-pack-elasticsearch#659 Original commit: elastic/x-pack-elasticsearch@07a34a18c6
= Elasticsearch X Pack A set of Elastic's commercial plugins: - License - Security - Watcher - Monitoring - Machine Learning = Setup You must checkout x-pack and elasticsearch with a specific directory structure. The elasticsearch checkout will be used when building x-pack. The structure is: - /path/to/elastic/elasticsearch - /path/to/elastic/elasticsearch-extra/x-pack-elasticsearch == 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 (wihtout running tests) + [source, txt] ----- gradle clean assemble ----- - Install X-Pack (wihtout running tests) + [source, txt] ----- gradle clean install -----