Tests for runtime field queries with fbf aggs (backport of #71503)#71585
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nik9000 merged 1 commit intoelastic:7.xfrom Apr 12, 2021
Merged
Tests for runtime field queries with fbf aggs (backport of #71503)#71585nik9000 merged 1 commit intoelastic:7.xfrom
nik9000 merged 1 commit intoelastic:7.xfrom
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This adds a few tests for runtime field queries applied to "filter-by-filter" style aggregations. We expect to still be able to use filter-by-filter aggregations to speed up collection when the top level query is a runtime field. You'd think that filter-by-filter would be slow when the top level query is slow, like it is with runtime fields, but we only run filter-by-filter when we can translate each aggregation bucket into a quick query. So long as the results of those queries don't "overlap" we shouldn't end up running the slower top level query more times than we would during regular collection. This also adds some javadoc to that effect to the two places where we chose between filter-by-filter and a "native" aggregation implementation.
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This adds a few tests for runtime field queries applied to
"filter-by-filter" style aggregations. We expect to still be able to
use filter-by-filter aggregations to speed up collection when the top
level query is a runtime field. You'd think that filter-by-filter would
be slow when the top level query is slow, like it is with runtime
fields, but we only run filter-by-filter when we can translate each
aggregation bucket into a quick query. So long as the results of those
queries don't "overlap" we shouldn't end up running the slower top level
query more times than we would during regular collection.
This also adds some javadoc to that effect to the two places where we
chose between filter-by-filter and a "native" aggregation
implementation.