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main
| Author | SHA1 | Date | |
|---|---|---|---|
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1e859fd78d | ||
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f451fa938f | ||
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2a82dd6f64 |
@@ -110,31 +110,43 @@ fn main() {
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// Prepare corpora with varying scenarios
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let scenarios = vec![
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(
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"dense and 0.1% a".to_string(),
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5_000_000,
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0.001,
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"dense and 99% a".to_string(),
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10_000_000,
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0.99,
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"dense",
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0,
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9,
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),
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("dense and 1% a".to_string(), 5_000_000, 0.01, "dense", 0, 9),
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("dense and 10% a".to_string(), 5_000_000, 0.1, "dense", 0, 9),
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(
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"sparse and 50% a".to_string(),
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5_000_000,
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"dense and 99% a".to_string(),
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10_000_000,
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0.99,
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"dense",
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990,
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999,
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),
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(
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"sparse and 99% a".to_string(),
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10_000_000,
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0.99,
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"sparse",
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0,
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9,
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),
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(
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"sparse and 99% a".to_string(),
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10_000_000,
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0.99,
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"sparse",
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9_999_990,
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9_999_999,
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),
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];
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let mut runner = BenchRunner::new();
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for (scenario_id, num_docs, p_title_a, num_rand_distribution, range_low, range_high) in
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scenarios
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{
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for (scenario_id, n, p_title_a, num_rand_distribution, range_low, range_high) in scenarios {
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// Build index for this scenario
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let bench_index = build_shared_indices(num_docs, p_title_a, num_rand_distribution);
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let bench_index = build_shared_indices(n, p_title_a, num_rand_distribution);
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// Create benchmark group
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let mut group = runner.new_group();
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@@ -146,7 +158,7 @@ fn main() {
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let field_names = ["num_rand", "num_asc", "num_rand_fast", "num_asc_fast"];
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// Define the three terms we want to test with
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let terms = ["a"];
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let terms = ["a", "b", "z"];
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// Generate all combinations of terms and field names
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let mut queries = Vec::new();
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@@ -191,7 +203,7 @@ fn run_benchmark_tasks(
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bench_index,
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query_str,
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DocSetCollector,
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"all_results",
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"all results",
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);
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// Test top 100 by the field (if it's a FAST field)
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@@ -275,7 +275,7 @@ impl SegmentCompositeCollector {
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dict.insert(
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key,
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IntermediateCompositeBucketEntry {
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doc_count: agg.count,
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doc_count: agg.count as u64,
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sub_aggregation: sub_aggregation_res,
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},
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);
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@@ -957,7 +957,7 @@ fn into_intermediate_bucket_entry(
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)?;
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}
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Ok(IntermediateTermBucketEntry {
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doc_count: bucket.count,
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doc_count: bucket.count as u64,
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sub_aggregation: sub_aggregation_res,
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})
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}
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@@ -98,7 +98,7 @@ impl SegmentAggregationCollector for TermMissingAgg {
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let missing_count = &self.missing_count_per_bucket[parent_bucket_id as usize];
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let mut missing_entry = IntermediateTermBucketEntry {
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doc_count: missing_count.missing_count,
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doc_count: missing_count.missing_count as u64,
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sub_aggregation: Default::default(),
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};
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if let Some(sub_agg) = &mut self.sub_agg {
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@@ -930,7 +930,7 @@ impl IntermediateRangeBucketEntry {
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#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
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pub struct IntermediateTermBucketEntry {
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/// The number of documents in the bucket.
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pub doc_count: u32,
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pub doc_count: u64,
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/// The sub_aggregation in this bucket.
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pub sub_aggregation: IntermediateAggregationResults,
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}
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@@ -1240,6 +1240,24 @@ mod tests {
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assert_eq!(tree_left, tree_expected);
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}
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#[test]
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fn test_term_bucket_doc_count_no_u32_overflow() {
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// Two segments each contributing (u32::MAX - 100) docs to the same term. Summing them
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// overflowed when doc_count was u32.
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let per_segment = u32::MAX as u64 - 100;
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let mut entry = IntermediateTermBucketEntry {
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doc_count: per_segment,
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sub_aggregation: Default::default(),
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};
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entry
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.merge_fruits(IntermediateTermBucketEntry {
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doc_count: per_segment,
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sub_aggregation: Default::default(),
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})
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.unwrap();
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assert_eq!(entry.doc_count, per_segment * 2);
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}
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#[test]
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fn test_merge_fruits_tree_empty() {
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let mut tree_left = get_intermediate_tree_with_ranges(&[
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@@ -273,8 +273,14 @@ mod tests {
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}
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if all_match {
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let score: Score =
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leader.score() + secondaries.iter_mut().map(|s| s.score()).sum::<Score>();
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// Accumulate in the same left-to-right order as the WAND implementation
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// (leader first, then each secondary in turn). Float addition is not
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// associative, so `leader + secondaries.sum()` gives a different bit
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// pattern and can cause spurious nearly_equals failures.
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let mut score: Score = leader.score();
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for secondary in secondaries.iter_mut() {
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score += secondary.score();
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}
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if score > limit {
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heap.push(Float(score));
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@@ -417,6 +423,198 @@ mod tests {
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}
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}
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#[test]
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fn test_block_wand_intersection_three_scorers_regression() {
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// Minimal failing case found by proptest (CI run 27557430583, job 81460063906).
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// Posting list 0 spans docs 0–63 (all present, doc 8 has tf=80, doc 26 tf=4, rest tf=1).
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// Posting lists 1 and 2 are sparse with varying term freqs, and doc 16/64 appear only
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// in lists 1/2 but not list 0. The high tf=80 on doc 8 of list 0 makes the WAND
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// upper-bound estimation skip documents that the naive intersection would score.
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let posting_lists: &[&[(DocId, u32)]] = &[
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&[
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(0, 1),
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(1, 1),
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(2, 1),
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(3, 1),
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(4, 1),
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(5, 1),
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(6, 1),
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(7, 1),
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(8, 80),
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(9, 1),
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(10, 1),
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(11, 1),
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(12, 1),
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(13, 1),
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(14, 1),
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(15, 1),
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(17, 1),
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(18, 1),
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(19, 1),
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(20, 1),
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(21, 1),
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(22, 1),
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(23, 1),
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(24, 1),
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(25, 1),
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(26, 4),
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(27, 1),
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(28, 1),
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(29, 1),
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(30, 1),
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(31, 1),
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(32, 1),
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(33, 1),
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(34, 1),
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(35, 1),
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(36, 1),
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(37, 1),
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(38, 1),
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(39, 1),
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(40, 1),
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(41, 1),
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(42, 1),
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(43, 1),
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(44, 1),
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(45, 1),
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(46, 1),
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(47, 1),
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(48, 1),
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(49, 1),
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(50, 1),
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(51, 1),
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(52, 1),
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(53, 1),
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(54, 1),
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(55, 1),
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(56, 1),
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(57, 1),
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(58, 1),
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(59, 1),
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(60, 1),
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(61, 1),
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(62, 1),
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(63, 1),
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],
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&[
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(0, 2),
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(3, 98),
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(7, 93),
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(8, 87),
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(9, 39),
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(10, 2),
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(12, 71),
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(14, 47),
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(15, 76),
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(16, 6),
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||||
(17, 38),
|
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(19, 61),
|
||||
(20, 87),
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(21, 1),
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(22, 5),
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(23, 43),
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(25, 48),
|
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(26, 87),
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(28, 81),
|
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(29, 69),
|
||||
(30, 7),
|
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(31, 47),
|
||||
(32, 32),
|
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(33, 38),
|
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(35, 39),
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(38, 65),
|
||||
(39, 98),
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(42, 43),
|
||||
(43, 52),
|
||||
(44, 99),
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||||
(45, 88),
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(48, 24),
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(51, 61),
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||||
(52, 22),
|
||||
(53, 58),
|
||||
(55, 26),
|
||||
(56, 32),
|
||||
(58, 57),
|
||||
(60, 29),
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(61, 78),
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(62, 9),
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(63, 44),
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(64, 29),
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],
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&[
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(0, 94),
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(2, 49),
|
||||
(3, 63),
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||||
(4, 7),
|
||||
(6, 93),
|
||||
(7, 17),
|
||||
(8, 91),
|
||||
(9, 18),
|
||||
(10, 85),
|
||||
(11, 11),
|
||||
(12, 45),
|
||||
(13, 42),
|
||||
(15, 91),
|
||||
(16, 44),
|
||||
(17, 36),
|
||||
(18, 68),
|
||||
(19, 24),
|
||||
(20, 17),
|
||||
(21, 59),
|
||||
(22, 97),
|
||||
(24, 20),
|
||||
(25, 7),
|
||||
(26, 85),
|
||||
(27, 69),
|
||||
(28, 78),
|
||||
(29, 84),
|
||||
(30, 35),
|
||||
(31, 49),
|
||||
(33, 83),
|
||||
(34, 97),
|
||||
(35, 29),
|
||||
(36, 43),
|
||||
(37, 59),
|
||||
(38, 79),
|
||||
(39, 74),
|
||||
(40, 21),
|
||||
(41, 5),
|
||||
(42, 47),
|
||||
(43, 27),
|
||||
(44, 59),
|
||||
(45, 97),
|
||||
(46, 91),
|
||||
(47, 81),
|
||||
(48, 57),
|
||||
(49, 47),
|
||||
(50, 64),
|
||||
(51, 86),
|
||||
(52, 60),
|
||||
(53, 52),
|
||||
(54, 14),
|
||||
(55, 23),
|
||||
(56, 64),
|
||||
(57, 40),
|
||||
(58, 5),
|
||||
(59, 30),
|
||||
(60, 81),
|
||||
(61, 62),
|
||||
(62, 39),
|
||||
(63, 93),
|
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(64, 82),
|
||||
],
|
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];
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let fieldnorms: &[u32] = &[
|
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624, 668, 725, 670, 851, 169, 537, 627, 200, 757, 51, 272, 835, 89, 750, 63, 272, 406,
|
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394, 390, 822, 449, 257, 571, 527, 855, 4, 98, 548, 413, 539, 351, 596, 151, 728, 152,
|
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766, 829, 20, 828, 477, 251, 743, 646, 136, 477, 909, 907, 266, 341, 676, 161, 40, 384,
|
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347, 707, 42, 397, 482, 814, 801, 528, 465, 410, 171,
|
||||
];
|
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let posting_lists_owned: Vec<Vec<(DocId, u32)>> =
|
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posting_lists.iter().map(|pl| pl.to_vec()).collect();
|
||||
test_block_wand_intersection_aux(&posting_lists_owned, fieldnorms);
|
||||
}
|
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|
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#[test]
|
||||
fn test_block_wand_intersection_disjoint() {
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// Two posting lists with no overlap — intersection is empty.
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|
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@@ -1,6 +1,6 @@
|
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use std::fmt;
|
||||
|
||||
use crate::docset::{SeekDangerResult, COLLECT_BLOCK_BUFFER_LEN};
|
||||
use crate::docset::COLLECT_BLOCK_BUFFER_LEN;
|
||||
use crate::query::{EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, SegmentReader, TantivyError, Term};
|
||||
|
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@@ -119,10 +119,6 @@ impl<TDocSet: DocSet> DocSet for ConstScorer<TDocSet> {
|
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self.docset.seek(target)
|
||||
}
|
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|
||||
fn seek_danger(&mut self, target: DocId) -> SeekDangerResult {
|
||||
self.docset.seek_danger(target)
|
||||
}
|
||||
|
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fn fill_buffer(&mut self, buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN]) -> usize {
|
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self.docset.fill_buffer(buffer)
|
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}
|
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|
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@@ -3,7 +3,6 @@ use std::ops::RangeInclusive;
|
||||
|
||||
use columnar::Column;
|
||||
|
||||
use crate::docset::SeekDangerResult;
|
||||
use crate::{DocId, DocSet, TERMINATED};
|
||||
|
||||
/// Helper to have a cursor over a vec of docids
|
||||
@@ -185,37 +184,6 @@ impl<T: Send + Sync + PartialOrd + Copy + Debug + 'static> DocSet for RangeDocSe
|
||||
doc
|
||||
}
|
||||
|
||||
/// `seek_danger` only needs to answer whether `target` itself matches, so it does a cheap
|
||||
/// point lookup on the column instead of scanning forward to materialize the next match (the
|
||||
/// expensive part of a regular `seek`).
|
||||
fn seek_danger(&mut self, target: DocId) -> SeekDangerResult {
|
||||
// Covers `target == TERMINATED` and any target past the last doc: no match is possible.
|
||||
if target >= self.column.num_docs() {
|
||||
return SeekDangerResult::SeekLowerBound(TERMINATED);
|
||||
}
|
||||
|
||||
if self.is_last_seek_distance_large(target) {
|
||||
self.reset_fetch_range();
|
||||
}
|
||||
self.last_seek_pos_opt = Some(target);
|
||||
|
||||
let is_match = self
|
||||
.column
|
||||
.values_for_doc(target)
|
||||
.any(|value| self.value_range.contains(&value));
|
||||
if is_match {
|
||||
// Leave the docset in a valid state positioned on `target`, so `doc()` returns it and a
|
||||
// following `advance()` resumes the scan right after it.
|
||||
self.loaded_docs.get_cleared_data().push(target);
|
||||
self.next_fetch_start = target + 1;
|
||||
SeekDangerResult::Found
|
||||
} else {
|
||||
// `target` is not in the docset. The next match is strictly greater than `target`, so
|
||||
// `target + 1` is a valid lower bound. We may leave the docset in an invalid state.
|
||||
SeekDangerResult::SeekLowerBound(target + 1)
|
||||
}
|
||||
}
|
||||
|
||||
fn size_hint(&self) -> u32 {
|
||||
// TODO: Implement a better size hint
|
||||
self.column.num_docs() / 10
|
||||
@@ -241,148 +209,12 @@ impl<T: Send + Sync + PartialOrd + Copy + Debug + 'static> DocSet for RangeDocSe
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::ops::{Bound, RangeInclusive};
|
||||
use std::ops::Bound;
|
||||
|
||||
use columnar::Column;
|
||||
|
||||
use super::RangeDocSet;
|
||||
use crate::collector::Count;
|
||||
use crate::directory::RamDirectory;
|
||||
use crate::docset::{SeekDangerResult, TERMINATED};
|
||||
use crate::query::RangeQuery;
|
||||
use crate::{schema, DocSet, Index, IndexBuilder, TantivyDocument, Term};
|
||||
|
||||
/// Builds a single-segment index where doc `i` carries `values_for_doc(i)` in a u64 fast
|
||||
/// field, then returns its column so we can drive a `RangeDocSet` directly.
|
||||
fn build_u64_column(
|
||||
num_docs: usize,
|
||||
values_for_doc: impl Fn(usize) -> Vec<u64>,
|
||||
) -> Column<u64> {
|
||||
let mut schema_builder = schema::SchemaBuilder::new();
|
||||
let value_field = schema_builder.add_u64_field("value", schema::FAST);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
{
|
||||
let mut writer = index.writer_for_tests().unwrap();
|
||||
for i in 0..num_docs {
|
||||
let mut doc = TantivyDocument::new();
|
||||
for v in values_for_doc(i) {
|
||||
doc.add_u64(value_field, v);
|
||||
}
|
||||
writer.add_document(doc).unwrap();
|
||||
}
|
||||
writer.commit().unwrap();
|
||||
}
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
assert_eq!(searcher.segment_readers().len(), 1);
|
||||
searcher
|
||||
.segment_reader(0)
|
||||
.fast_fields()
|
||||
.u64("value")
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn range_docset(
|
||||
value_range: RangeInclusive<u64>,
|
||||
num_docs: usize,
|
||||
values_for_doc: impl Fn(usize) -> Vec<u64>,
|
||||
) -> RangeDocSet<u64> {
|
||||
RangeDocSet::new(value_range, build_u64_column(num_docs, values_for_doc))
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn seek_danger_found_leaves_valid_state() {
|
||||
// Even docs match the range, odd docs do not.
|
||||
let mut docset = range_docset(0..=0, 100, |i| vec![(i % 2) as u64]);
|
||||
|
||||
// Matching target: `Found`, and the docset is positioned exactly on it.
|
||||
assert_eq!(docset.seek_danger(10), SeekDangerResult::Found);
|
||||
assert_eq!(docset.doc(), 10);
|
||||
// A following advance resumes the scan right after the found doc.
|
||||
assert_eq!(docset.advance(), 12);
|
||||
assert_eq!(docset.doc(), 12);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn seek_danger_miss_returns_lower_bound() {
|
||||
let mut docset = range_docset(0..=0, 100, |i| vec![(i % 2) as u64]);
|
||||
|
||||
// Odd target does not match: lower bound is strictly greater than the target and never
|
||||
// skips past the next real match (here doc 12, the first even doc after 11).
|
||||
match docset.seek_danger(11) {
|
||||
SeekDangerResult::SeekLowerBound(lower_bound) => {
|
||||
assert!(lower_bound > 11);
|
||||
assert!(lower_bound <= 12);
|
||||
}
|
||||
SeekDangerResult::Found => panic!("11 should not match"),
|
||||
}
|
||||
// After a miss we may be in an invalid state; another seek_danger recovers it.
|
||||
assert_eq!(docset.seek_danger(12), SeekDangerResult::Found);
|
||||
assert_eq!(docset.doc(), 12);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn seek_danger_terminated_and_out_of_bounds() {
|
||||
let mut docset = range_docset(0..=0, 10, |i| vec![(i % 2) as u64]);
|
||||
assert_eq!(
|
||||
docset.seek_danger(TERMINATED),
|
||||
SeekDangerResult::SeekLowerBound(TERMINATED)
|
||||
);
|
||||
// A target past the last doc has no possible match either.
|
||||
assert_eq!(
|
||||
docset.seek_danger(10),
|
||||
SeekDangerResult::SeekLowerBound(TERMINATED)
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn seek_danger_multivalued() {
|
||||
// Doc `i` holds values [i, i+1]; the range {5} matches docs 4 and 5.
|
||||
let mut docset = range_docset(5..=5, 20, |i| vec![i as u64, i as u64 + 1]);
|
||||
|
||||
assert_eq!(docset.seek_danger(4), SeekDangerResult::Found);
|
||||
assert_eq!(docset.doc(), 4);
|
||||
assert_eq!(docset.advance(), 5);
|
||||
// No further match after doc 5.
|
||||
assert_eq!(docset.advance(), TERMINATED);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn seek_danger_matches_seek() {
|
||||
// Cross-check seek_danger against the true next match for every target, on a column with a
|
||||
// few sparse matches.
|
||||
let matches = [3u32, 7, 50, 51, 99];
|
||||
let num_docs = 100;
|
||||
let values_for_doc = |i: usize| {
|
||||
vec![if matches.contains(&(i as u32)) {
|
||||
1u64
|
||||
} else {
|
||||
0u64
|
||||
}]
|
||||
};
|
||||
|
||||
for target in 0..num_docs as u32 {
|
||||
// The first matching doc greater than or equal to `target`, i.e. what `seek` returns.
|
||||
let expected = matches
|
||||
.iter()
|
||||
.copied()
|
||||
.find(|&m| m >= target)
|
||||
.unwrap_or(TERMINATED);
|
||||
|
||||
let mut danger = range_docset(1..=1, num_docs, values_for_doc);
|
||||
match danger.seek_danger(target) {
|
||||
SeekDangerResult::Found => {
|
||||
assert_eq!(expected, target, "target {target} reported Found");
|
||||
assert_eq!(danger.doc(), target);
|
||||
}
|
||||
SeekDangerResult::SeekLowerBound(lower_bound) => {
|
||||
assert_ne!(expected, target, "target {target} should have been Found");
|
||||
assert!(lower_bound > target);
|
||||
// The lower bound must never skip past the true next match.
|
||||
assert!(lower_bound <= expected);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
use crate::{schema, IndexBuilder, TantivyDocument, Term};
|
||||
|
||||
#[test]
|
||||
fn range_query_fast_optional_field_minimum() {
|
||||
|
||||
Reference in New Issue
Block a user