Ingest DateProcessor (small) speedup, optimize collections code in DateFormatter.forPattern #91521
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to match how it's done on the previous ternary for timezone
to keep with the return type from delimitedListToStringArray, rather than wrapping it
This is still pretty simple as a for each, and the for each is faster.
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grcevski
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* main: (163 commits) [DOCS] Edits frequent items aggregation (elastic#91564) Handle providers of optional services in ubermodule classloader (elastic#91217) Add `exportDockerImages` lifecycle task for exporting docker tarballs (elastic#91571) Fix CSV dependency report output file location in DRA CI job Fix variable placeholder for Strings.format calls (elastic#91531) Fix output dir creation in ConcatFileTask (elastic#91568) Fix declaration of dependencies in DRA snapshots CI job (elastic#91569) Upgrade Gradle Enterprise plugin to 3.11.4 (elastic#91435) Ingest DateProcessor (small) speedup, optimize collections code in DateFormatter.forPattern (elastic#91521) Fix inter project handling of generateDependenciesReport (elastic#91555) [Synthetics] Add synthetics-* read to fleet-server (elastic#91391) [ML] Copy more settings when creating DF analytics destination index (elastic#91546) Reduce CartesianCentroidIT flakiness (elastic#91553) Propagate last node to reinitialized routing tables (elastic#91549) Forecast write load during rollovers (elastic#91425) [DOCS] Warn about potential overhead of named queries (elastic#91512) Datastream unavailable exception metadata (elastic#91461) Generate docker images and dependency report in DRA ci job (elastic#91545) Support cartesian_bounds aggregation on point and shape (elastic#91298) Add support for EQL samples queries (elastic#91312) ... # Conflicts: # x-pack/plugin/rollup/src/main/java/org/elasticsearch/xpack/downsample/RollupShardIndexer.java
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splitCombinedPatternsto avoid an array->collection conversionforPatternrather than the streams approachIt's a relatively small change to the code, but since we run this each time a
DateProcessorexecutes on anIngestDocument, it's a pretty hot code path. In my little microbenchmark it cuts ~20% of the time spent in aDateProcessor, or about 1% of the ingest time overall (but again for emphasis, that's just my little microbenchmark).Here's the before/after flamegraph: