Allocate slightly less per bucket #59740
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Pinging @elastic/es-analytics-geo (:Analytics/Aggregations) |
elasticmachine
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talevy
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Jul 17, 2020
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Thanks @talevy ! |
nik9000
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This replaces that data structure that we use to resolve bucket ids in bucketing aggs that are inside other bucketing aggs. This replaces the "legoed together" data structure with a purpose built `LongLongHash` with semantics similar to `LongHash`, except that it has two `long`s as keys instead of one. The microbenchmarks show a fairly substantial performance gain on the hot path, around 30%. Rally's higher level benchmarks show anywhere from 0 to 7% speed improvements. Not as much as I'd hoped, but nothing to sneeze at. And, after all, we all allocating slightly less data per owningBucketOrd, which is always nice.
nik9000
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Jul 20, 2020
This replaces that data structure that we use to resolve bucket ids in bucketing aggs that are inside other bucketing aggs. This replaces the "legoed together" data structure with a purpose built `LongLongHash` with semantics similar to `LongHash`, except that it has two `long`s as keys instead of one. The microbenchmarks show a fairly substantial performance gain on the hot path, around 30%. Rally's higher level benchmarks show anywhere from 0 to 7% speed improvements. Not as much as I'd hoped, but nothing to sneeze at. And, after all, we all allocating slightly less data per owningBucketOrd, which is always nice.
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This replaces that data structure that we use to resolve bucket ids in
bucketing aggs that are inside other bucketing aggs. This replaces the
"legoed together" data structure with a purpose built
LongLongHashwith semantics similar to
LongHash, except that it has twolongsas keys instead of one.
The microbenchmarks show a fairly substantial performance gain on the
hot path, around 30%. Rally's higher level benchmarks show anywhere
from 0 to 7% speed improvements. Not as much as I'd hoped, but nothing
to sneeze at. And, after all, we all allocating slightly less data per
owningBucketOrd, which is always nice.