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[8.15] Add three searches that fetch _source as separate challenges to elastic/logs track#625

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martijnvg merged 1 commit intoelastic:8.15from
martijnvg:backport_622_2
Jun 28, 2024
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[8.15] Add three searches that fetch _source as separate challenges to elastic/logs track#625
martijnvg merged 1 commit intoelastic:8.15from
martijnvg:backport_622_2

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@martijnvg martijnvg commented Jun 28, 2024

Backporting #622 to the 8.15 branch. Otherwise rally nightly and esbench will not pick the change up. The version of Elasticsearch main is 8.15.0-SNAPSHOT and therefor rally nightly / esbench will use the rally track's 8.15 branch.

Note: previous backport #623 was accidentally against master branch... and merging that caused an empty commit in master branch. 🤦

These search are based from searches that are executed by search/discovery search challenge that fetch top documents. The queries are without query and fetch 100, 500 and 1000 documents. The source is fetches using the field fetch feature, like in the searches that execute as part of search/discovery workflow.

The problem is that we see combined latency and service time for search/discovery challenge and not for each search that is executed as part of this challenge (it is composite operation).

By adding these searches we can get latency and service time of searches that specifically fetch _source. This information is useful for the logsdb effort. Synthetic source makes fetching _source more expensive, but currently we can't introspect at a closer level what the impact is (since search/discovery search challenge report latency / service time for multiple operations).

…o elastic/logs track (elastic#622)

Backporting elastic#622 to the 8.15 branch. Otherwise rally nightly and esbench will not pick the change up. The version of Elasticsearch main is 8.15.0-SNAPSHOT and therefor rally nightly / esbench will use the rally track's 8.15 branch.

These search are based from searches that are executed by search/discovery search challenge that fetch top documents. The queries are without query and fetch 100, 500 and 1000 documents. The source is fetches using the field fetch feature, like in the searches that execute as part of search/discovery workflow.

The problem is that we see combined latency and service time for search/discovery challenge and not for each search that is executed as part of this challenge (it is composite operation).

By adding these searches we can get latency and service time of searches that specifically fetch _source. This information is useful for the logsdb effort. Synthetic source makes fetching _source more expensive, but currently we can't introspect at a closer level what the impact is (since search/discovery search challenge report latency / service time for multiple operations).
@martijnvg martijnvg added backport This PR is a backport of some other PR auto-merge labels Jun 28, 2024
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@martijnvg martijnvg merged commit b580277 into elastic:8.15 Jun 28, 2024
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