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add termhistogram bench for few buckets

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Pascal Seitz
2026-07-29 09:48:05 +02:00
parent 86641f72df
commit 62ca2f3608
1 changed files with 43 additions and 0 deletions
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benches/agg_bench.rs
+43
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@@ -112,6 +112,9 @@ fn bench_agg(runner: &mut BenchRunner, index: &Index, execute_filtered: Aggregat
benchmark_config!(terms_status_with_histogram),
benchmark_config!(terms_zipf_1000_with_histogram),
benchmark_config!(terms_status_with_date_histogram),
benchmark_config!(terms_status_with_date_histogram_single_bucket),
benchmark_config!(terms_status_with_date_histogram_4_buckets),
benchmark_config!(terms_status_with_date_histogram_8_buckets),
benchmark_config!(terms_status_with_date_histogram_hard_bounds),
benchmark_config!(terms_status_with_date_histogram_and_sibling_terms),
],
@@ -502,6 +505,46 @@ fn terms_status_with_date_histogram() -> AggregationRequest {
/// doc is in-bounds. This exercises the collector's hard-bounds path: `bounds.contains` runs per
/// doc (the `all_docs_in_bounds` short-circuit is off) and the rare out-of-bounds doc takes the
/// `term_counts` branch.
/// The timestamps span 0..120h, so a seven-day interval puts the entire index in one histogram
/// bucket. Combined with the skewed status distribution, this repeatedly updates the same grid
/// cell and highlights the benefit of independent count lanes.
fn terms_status_with_date_histogram_single_bucket() -> AggregationRequest {
json!({
"my_texts": {
"terms": { "field": "text_few_terms_status" },
"aggs": {
"over_time": { "date_histogram": { "field": "timestamp", "fixed_interval": "7d" } }
}
}
})
}
/// A thirty-two-hour interval divides the 0..120h timestamp span into exactly four buckets and
/// exercises the four-bucket linear resolver.
fn terms_status_with_date_histogram_4_buckets() -> AggregationRequest {
json!({
"my_texts": {
"terms": { "field": "text_few_terms_status" },
"aggs": {
"over_time": { "date_histogram": { "field": "timestamp", "fixed_interval": "32h" } }
}
}
})
}
/// A sixteen-hour interval divides the 0..120h timestamp span into exactly eight buckets and
/// exercises the eight-bucket linear resolver.
fn terms_status_with_date_histogram_8_buckets() -> AggregationRequest {
json!({
"my_texts": {
"terms": { "field": "text_few_terms_status" },
"aggs": {
"over_time": { "date_histogram": { "field": "timestamp", "fixed_interval": "16h" } }
}
}
})
}
fn terms_status_with_date_histogram_hard_bounds() -> AggregationRequest {
json!({
"my_texts": {