mirror of
https://github.com/quickwit-oss/tantivy.git
synced 2026-01-07 09:32:54 +00:00
Issue 1787 extended stats (#2247)
* first version of extended stats along with its tests
* using IntermediateExtendStats instead of IntermediateStats with all tests passing
* Created struct for request and response
* first test with extended_stats
* kahan summation and tests with approximate equality
* version ready for merge
* removed approx dependency
* refactor for using ExtendedStats only when needed
* interim version
* refined version with code formatted
* refactored a struct
* cosmetic refactor
* fix after merge
* fix format
* added extended_stat bench
* merge and new benchmark for extended stats
* split stat segment collectors
* wrapped intermediate extended stat with a box to limit memory usage
* Revert "wrapped intermediate extended stat with a box to limit memory usage"
This reverts commit 5b4aa9f393.
* some code reformat, commented kahan summation
* refactor after review
* refactor after code review
* fix after incorrectly restoring kahan summation
* modifications for code review + bug fix in merge_fruit
* refactor assert_nearly_equals macro
* update after code review
---------
Co-authored-by: Giovanni Cuccu <gcuccu@imolainformatica.it>
This commit is contained in:
@@ -47,6 +47,7 @@ fn bench_agg(mut group: InputGroup<Index>) {
|
||||
register!(group, average_f64);
|
||||
register!(group, average_f64_u64);
|
||||
register!(group, stats_f64);
|
||||
register!(group, extendedstats_f64);
|
||||
register!(group, percentiles_f64);
|
||||
register!(group, terms_few);
|
||||
register!(group, terms_many);
|
||||
@@ -105,7 +106,12 @@ fn stats_f64(index: &Index) {
|
||||
});
|
||||
exec_term_with_agg(index, agg_req)
|
||||
}
|
||||
|
||||
fn extendedstats_f64(index: &Index) {
|
||||
let agg_req = json!({
|
||||
"extendedstats_f64": { "extended_stats": { "field": "score_f64", } }
|
||||
});
|
||||
exec_term_with_agg(index, agg_req)
|
||||
}
|
||||
fn percentiles_f64(index: &Index) {
|
||||
let agg_req = json!({
|
||||
"mypercentiles": {
|
||||
|
||||
@@ -34,7 +34,7 @@ use super::bucket::{
|
||||
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
|
||||
};
|
||||
use super::metric::{
|
||||
AverageAggregation, CountAggregation, MaxAggregation, MinAggregation,
|
||||
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation,
|
||||
PercentilesAggregationReq, StatsAggregation, SumAggregation, TopHitsAggregation,
|
||||
};
|
||||
|
||||
@@ -146,6 +146,11 @@ pub enum AggregationVariants {
|
||||
/// extracted values.
|
||||
#[serde(rename = "stats")]
|
||||
Stats(StatsAggregation),
|
||||
/// Computes a collection of estended statistics (`min`, `max`, `sum`, `count`, `avg`,
|
||||
/// `sum_of_squares`, `variance`, `variance_sampling`, `std_deviation`,
|
||||
/// `std_deviation_sampling`) over the extracted values.
|
||||
#[serde(rename = "extended_stats")]
|
||||
ExtendedStats(ExtendedStatsAggregation),
|
||||
/// Computes the sum of the extracted values.
|
||||
#[serde(rename = "sum")]
|
||||
Sum(SumAggregation),
|
||||
@@ -170,6 +175,7 @@ impl AggregationVariants {
|
||||
AggregationVariants::Max(max) => vec![max.field_name()],
|
||||
AggregationVariants::Min(min) => vec![min.field_name()],
|
||||
AggregationVariants::Stats(stats) => vec![stats.field_name()],
|
||||
AggregationVariants::ExtendedStats(extended_stats) => vec![extended_stats.field_name()],
|
||||
AggregationVariants::Sum(sum) => vec![sum.field_name()],
|
||||
AggregationVariants::Percentiles(per) => vec![per.field_name()],
|
||||
AggregationVariants::TopHits(top_hits) => top_hits.field_names(),
|
||||
|
||||
@@ -11,8 +11,8 @@ use super::bucket::{
|
||||
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
|
||||
};
|
||||
use super::metric::{
|
||||
AverageAggregation, CountAggregation, MaxAggregation, MinAggregation, StatsAggregation,
|
||||
SumAggregation,
|
||||
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation,
|
||||
StatsAggregation, SumAggregation,
|
||||
};
|
||||
use super::segment_agg_result::AggregationLimits;
|
||||
use super::VecWithNames;
|
||||
@@ -276,6 +276,10 @@ impl AggregationWithAccessor {
|
||||
field: ref field_name,
|
||||
..
|
||||
})
|
||||
| ExtendedStats(ExtendedStatsAggregation {
|
||||
field: ref field_name,
|
||||
..
|
||||
})
|
||||
| Sum(SumAggregation {
|
||||
field: ref field_name,
|
||||
..
|
||||
|
||||
@@ -8,7 +8,9 @@ use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::bucket::GetDocCount;
|
||||
use super::metric::{PercentilesMetricResult, SingleMetricResult, Stats, TopHitsMetricResult};
|
||||
use super::metric::{
|
||||
ExtendedStats, PercentilesMetricResult, SingleMetricResult, Stats, TopHitsMetricResult,
|
||||
};
|
||||
use super::{AggregationError, Key};
|
||||
use crate::TantivyError;
|
||||
|
||||
@@ -88,6 +90,8 @@ pub enum MetricResult {
|
||||
Min(SingleMetricResult),
|
||||
/// Stats metric result.
|
||||
Stats(Stats),
|
||||
/// ExtendedStats metric result.
|
||||
ExtendedStats(Box<ExtendedStats>),
|
||||
/// Sum metric result.
|
||||
Sum(SingleMetricResult),
|
||||
/// Percentiles metric result.
|
||||
@@ -104,6 +108,7 @@ impl MetricResult {
|
||||
MetricResult::Max(max) => Ok(max.value),
|
||||
MetricResult::Min(min) => Ok(min.value),
|
||||
MetricResult::Stats(stats) => stats.get_value(agg_property),
|
||||
MetricResult::ExtendedStats(extended_stats) => extended_stats.get_value(agg_property),
|
||||
MetricResult::Sum(sum) => Ok(sum.value),
|
||||
MetricResult::Percentiles(_) => Err(TantivyError::AggregationError(
|
||||
AggregationError::InvalidRequest("percentiles can't be used to order".to_string()),
|
||||
|
||||
@@ -19,8 +19,8 @@ use super::bucket::{
|
||||
GetDocCount, Order, OrderTarget, RangeAggregation, TermsAggregation,
|
||||
};
|
||||
use super::metric::{
|
||||
IntermediateAverage, IntermediateCount, IntermediateMax, IntermediateMin, IntermediateStats,
|
||||
IntermediateSum, PercentilesCollector, TopHitsTopNComputer,
|
||||
IntermediateAverage, IntermediateCount, IntermediateExtendedStats, IntermediateMax,
|
||||
IntermediateMin, IntermediateStats, IntermediateSum, PercentilesCollector, TopHitsTopNComputer,
|
||||
};
|
||||
use super::segment_agg_result::AggregationLimits;
|
||||
use super::{format_date, AggregationError, Key, SerializedKey};
|
||||
@@ -215,6 +215,9 @@ pub(crate) fn empty_from_req(req: &Aggregation) -> IntermediateAggregationResult
|
||||
Stats(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::Stats(
|
||||
IntermediateStats::default(),
|
||||
)),
|
||||
ExtendedStats(_) => IntermediateAggregationResult::Metric(
|
||||
IntermediateMetricResult::ExtendedStats(IntermediateExtendedStats::default()),
|
||||
),
|
||||
Sum(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::Sum(
|
||||
IntermediateSum::default(),
|
||||
)),
|
||||
@@ -282,6 +285,8 @@ pub enum IntermediateMetricResult {
|
||||
Min(IntermediateMin),
|
||||
/// Intermediate stats result.
|
||||
Stats(IntermediateStats),
|
||||
/// Intermediate stats result.
|
||||
ExtendedStats(IntermediateExtendedStats),
|
||||
/// Intermediate sum result.
|
||||
Sum(IntermediateSum),
|
||||
/// Intermediate top_hits result
|
||||
@@ -306,6 +311,9 @@ impl IntermediateMetricResult {
|
||||
IntermediateMetricResult::Stats(intermediate_stats) => {
|
||||
MetricResult::Stats(intermediate_stats.finalize())
|
||||
}
|
||||
IntermediateMetricResult::ExtendedStats(intermediate_stats) => {
|
||||
MetricResult::ExtendedStats(intermediate_stats.finalize())
|
||||
}
|
||||
IntermediateMetricResult::Sum(intermediate_sum) => {
|
||||
MetricResult::Sum(intermediate_sum.finalize().into())
|
||||
}
|
||||
@@ -346,6 +354,12 @@ impl IntermediateMetricResult {
|
||||
) => {
|
||||
stats_left.merge_fruits(stats_right);
|
||||
}
|
||||
(
|
||||
IntermediateMetricResult::ExtendedStats(extended_stats_left),
|
||||
IntermediateMetricResult::ExtendedStats(extended_stats_right),
|
||||
) => {
|
||||
extended_stats_left.merge_fruits(extended_stats_right);
|
||||
}
|
||||
(IntermediateMetricResult::Sum(sum_left), IntermediateMetricResult::Sum(sum_right)) => {
|
||||
sum_left.merge_fruits(sum_right);
|
||||
}
|
||||
|
||||
1182
src/aggregation/metric/extended_stats.rs
Normal file
1182
src/aggregation/metric/extended_stats.rs
Normal file
File diff suppressed because it is too large
Load Diff
@@ -18,6 +18,7 @@
|
||||
|
||||
mod average;
|
||||
mod count;
|
||||
mod extended_stats;
|
||||
mod max;
|
||||
mod min;
|
||||
mod percentiles;
|
||||
@@ -29,6 +30,7 @@ use std::collections::HashMap;
|
||||
|
||||
pub use average::*;
|
||||
pub use count::*;
|
||||
pub use extended_stats::*;
|
||||
pub use max::*;
|
||||
pub use min::*;
|
||||
pub use percentiles::*;
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
use std::fmt::Debug;
|
||||
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::*;
|
||||
@@ -85,13 +87,15 @@ impl Stats {
|
||||
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
|
||||
pub struct IntermediateStats {
|
||||
/// The number of extracted values.
|
||||
count: u64,
|
||||
pub(crate) count: u64,
|
||||
/// The sum of the extracted values.
|
||||
sum: f64,
|
||||
pub(crate) sum: f64,
|
||||
/// delta for sum needed for [Kahan algorithm for summation](https://en.wikipedia.org/wiki/Kahan_summation_algorithm)
|
||||
pub(crate) delta: f64,
|
||||
/// The min value.
|
||||
min: f64,
|
||||
pub(crate) min: f64,
|
||||
/// The max value.
|
||||
max: f64,
|
||||
pub(crate) max: f64,
|
||||
}
|
||||
|
||||
impl Default for IntermediateStats {
|
||||
@@ -99,6 +103,7 @@ impl Default for IntermediateStats {
|
||||
Self {
|
||||
count: 0,
|
||||
sum: 0.0,
|
||||
delta: 0.0,
|
||||
min: f64::MAX,
|
||||
max: f64::MIN,
|
||||
}
|
||||
@@ -109,7 +114,13 @@ impl IntermediateStats {
|
||||
/// Merges the other stats intermediate result into self.
|
||||
pub fn merge_fruits(&mut self, other: IntermediateStats) {
|
||||
self.count += other.count;
|
||||
self.sum += other.sum;
|
||||
|
||||
// kahan algorithm for sum
|
||||
let y = other.sum - (self.delta + other.delta);
|
||||
let t = self.sum + y;
|
||||
self.delta = (t - self.sum) - y;
|
||||
self.sum = t;
|
||||
|
||||
self.min = self.min.min(other.min);
|
||||
self.max = self.max.max(other.max);
|
||||
}
|
||||
@@ -141,9 +152,15 @@ impl IntermediateStats {
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn collect(&mut self, value: f64) {
|
||||
pub(in crate::aggregation::metric) fn collect(&mut self, value: f64) {
|
||||
self.count += 1;
|
||||
self.sum += value;
|
||||
|
||||
// kahan algorithm for sum
|
||||
let y = value - self.delta;
|
||||
let t = self.sum + y;
|
||||
self.delta = (t - self.sum) - y;
|
||||
self.sum = t;
|
||||
|
||||
self.min = self.min.min(value);
|
||||
self.max = self.max.max(value);
|
||||
}
|
||||
@@ -288,7 +305,6 @@ impl SegmentAggregationCollector for SegmentStatsCollector {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use serde_json::Value;
|
||||
|
||||
use crate::aggregation::agg_req::{Aggregation, Aggregations};
|
||||
|
||||
@@ -11,12 +11,12 @@ use super::agg_req_with_accessor::{AggregationWithAccessor, AggregationsWithAcce
|
||||
use super::bucket::{SegmentHistogramCollector, SegmentRangeCollector, SegmentTermCollector};
|
||||
use super::intermediate_agg_result::IntermediateAggregationResults;
|
||||
use super::metric::{
|
||||
AverageAggregation, CountAggregation, MaxAggregation, MinAggregation,
|
||||
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation,
|
||||
SegmentPercentilesCollector, SegmentStatsCollector, SegmentStatsType, StatsAggregation,
|
||||
SumAggregation,
|
||||
};
|
||||
use crate::aggregation::bucket::TermMissingAgg;
|
||||
use crate::aggregation::metric::TopHitsSegmentCollector;
|
||||
use crate::aggregation::metric::{SegmentExtendedStatsCollector, TopHitsSegmentCollector};
|
||||
|
||||
pub(crate) trait SegmentAggregationCollector: CollectorClone + Debug {
|
||||
fn add_intermediate_aggregation_result(
|
||||
@@ -148,6 +148,9 @@ pub(crate) fn build_single_agg_segment_collector(
|
||||
accessor_idx,
|
||||
*missing,
|
||||
))),
|
||||
ExtendedStats(ExtendedStatsAggregation { missing, sigma, .. }) => Ok(Box::new(
|
||||
SegmentExtendedStatsCollector::from_req(req.field_type, *sigma, accessor_idx, *missing),
|
||||
)),
|
||||
Sum(SumAggregation { missing, .. }) => Ok(Box::new(SegmentStatsCollector::from_req(
|
||||
req.field_type,
|
||||
SegmentStatsType::Sum,
|
||||
|
||||
@@ -871,7 +871,10 @@ mod tests {
|
||||
use crate::schema::{Field, Schema, FAST, STORED, TEXT};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
use crate::time::OffsetDateTime;
|
||||
use crate::{DateTime, DocAddress, DocId, Index, IndexWriter, Order, Score, SegmentReader};
|
||||
use crate::{
|
||||
assert_nearly_equals, DateTime, DocAddress, DocId, Index, IndexWriter, Order, Score,
|
||||
SegmentReader,
|
||||
};
|
||||
|
||||
fn make_index() -> crate::Result<Index> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
|
||||
20
src/lib.rs
20
src/lib.rs
@@ -397,16 +397,20 @@ pub mod tests {
|
||||
#[macro_export]
|
||||
macro_rules! assert_nearly_equals {
|
||||
($left:expr, $right:expr) => {{
|
||||
match (&$left, &$right) {
|
||||
(left_val, right_val) => {
|
||||
assert_nearly_equals!($left, $right, 0.0005);
|
||||
}};
|
||||
($left:expr, $right:expr, $epsilon:expr) => {{
|
||||
match (&$left, &$right, &$epsilon) {
|
||||
(left_val, right_val, epsilon_val) => {
|
||||
let diff = (left_val - right_val).abs();
|
||||
let add = left_val.abs() + right_val.abs();
|
||||
if diff > 0.0005 * add {
|
||||
|
||||
if diff > *epsilon_val {
|
||||
panic!(
|
||||
r#"assertion failed: `(left ~= right)`
|
||||
left: `{:?}`,
|
||||
right: `{:?}`"#,
|
||||
&*left_val, &*right_val
|
||||
r#"assertion failed: `abs(left-right)>epsilon`
|
||||
left: `{:?}`,
|
||||
right: `{:?}`,
|
||||
epsilon: `{:?}`"#,
|
||||
&*left_val, &*right_val, &*epsilon_val
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user