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Author SHA1 Message Date
Pascal Seitz
e2dae2f433 fix out of order bug 2024-06-25 08:35:58 +08:00
235 changed files with 2934 additions and 7205 deletions

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@@ -15,11 +15,11 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: Install Rust
run: rustup toolchain install nightly-2024-07-01 --profile minimal --component llvm-tools-preview
run: rustup toolchain install nightly-2024-04-10 --profile minimal --component llvm-tools-preview
- uses: Swatinem/rust-cache@v2
- uses: taiki-e/install-action@cargo-llvm-cov
- name: Generate code coverage
run: cargo +nightly-2024-07-01 llvm-cov --all-features --workspace --doctests --lcov --output-path lcov.info
run: cargo +nightly-2024-04-10 llvm-cov --all-features --workspace --doctests --lcov --output-path lcov.info
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v3
continue-on-error: true

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@@ -46,7 +46,7 @@ The file of a segment has the format
```segment-id . ext```
The extension signals which data structure (or [`SegmentComponent`](src/index/segment_component.rs)) is stored in the file.
The extension signals which data structure (or [`SegmentComponent`](src/core/segment_component.rs)) is stored in the file.
A small `meta.json` file is in charge of keeping track of the list of segments, as well as the schema.
@@ -102,7 +102,7 @@ but users can extend tantivy with their own implementation.
Tantivy's document follows a very strict schema, decided before building any index.
The schema defines all of the fields that the indexes [`Document`](src/schema/document/mod.rs) may and should contain, their types (`text`, `i64`, `u64`, `Date`, ...) as well as how it should be indexed / represented in tantivy.
The schema defines all of the fields that the indexes [`Document`](src/schema/document.rs) may and should contain, their types (`text`, `i64`, `u64`, `Date`, ...) as well as how it should be indexed / represented in tantivy.
Depending on the type of the field, you can decide to

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@@ -1,79 +1,3 @@
Tantivy 0.23 - Unreleased
================================
Tantivy 0.23 will be backwards compatible with indices created with v0.22 and v0.21. The new minimum rust version will be 1.75.
#### Bugfixes
- fix potential endless loop in merge [#2457](https://github.com/quickwit-oss/tantivy/pull/2457)(@PSeitz)
- fix bug that causes out-of-order sstable key. [#2445](https://github.com/quickwit-oss/tantivy/pull/2445)(@fulmicoton)
- fix ReferenceValue API flaw [#2372](https://github.com/quickwit-oss/tantivy/pull/2372)(@PSeitz)
- fix `OwnedBytes` debug panic [#2512](https://github.com/quickwit-oss/tantivy/pull/2512)(@b41sh)
#### Breaking API Changes
- remove index sorting [#2434](https://github.com/quickwit-oss/tantivy/pull/2434)(@PSeitz)
#### Features/Improvements
- **Aggregation**
- Support for cardinality aggregation [#2337](https://github.com/quickwit-oss/tantivy/pull/2337) [#2446](https://github.com/quickwit-oss/tantivy/pull/2446) (@raphaelcoeffic @PSeitz)
- Support for extended stats aggregation [#2247](https://github.com/quickwit-oss/tantivy/pull/2247)(@giovannicuccu)
- Add Key::I64 and Key::U64 variants in aggregation to avoid f64 precision issues [#2468](https://github.com/quickwit-oss/tantivy/pull/2468)(@PSeitz)
- Faster term aggregation fetch terms [#2447](https://github.com/quickwit-oss/tantivy/pull/2447)(@PSeitz)
- Improve custom order deserialization [#2451](https://github.com/quickwit-oss/tantivy/pull/2451)(@PSeitz)
- Change AggregationLimits behavior [#2495](https://github.com/quickwit-oss/tantivy/pull/2495)(@PSeitz)
- lower contention on AggregationLimits [#2394](https://github.com/quickwit-oss/tantivy/pull/2394)(@PSeitz)
- fix postcard compatibility for top_hits, add postcard test [#2346](https://github.com/quickwit-oss/tantivy/pull/2346)(@PSeitz)
- reduce top hits memory consumption [#2426](https://github.com/quickwit-oss/tantivy/pull/2426)(@PSeitz)
- check unsupported parameters top_hits [#2351](https://github.com/quickwit-oss/tantivy/pull/2351)(@PSeitz)
- Change AggregationLimits to AggregationLimitsGuard [#2495](https://github.com/quickwit-oss/tantivy/pull/2495)(@PSeitz)
- **Range Queries**
- Support fast field range queries on json fields [#2456](https://github.com/quickwit-oss/tantivy/pull/2456)(@PSeitz)
- Add support for str fast field range query [#2460](https://github.com/quickwit-oss/tantivy/pull/2460) [#2452](https://github.com/quickwit-oss/tantivy/pull/2452) [#2453](https://github.com/quickwit-oss/tantivy/pull/2453)(@PSeitz)
- modify fastfield range query heuristic [#2375](https://github.com/quickwit-oss/tantivy/pull/2375)(@trinity-1686a)
- add FastFieldRangeQuery for explicit range queries on fast field (for `RangeQuery` it is autodetected) [#2477](https://github.com/quickwit-oss/tantivy/pull/2477)(@PSeitz)
- add format backwards-compatibility tests [#2485](https://github.com/quickwit-oss/tantivy/pull/2485)(@PSeitz)
- add columnar format compatibility tests [#2433](https://github.com/quickwit-oss/tantivy/pull/2433)(@PSeitz)
- Improved snippet ranges algorithm [#2474](https://github.com/quickwit-oss/tantivy/pull/2474)(@gezihuzi)
- make find_field_with_default return json fields without path [#2476](https://github.com/quickwit-oss/tantivy/pull/2476)(@trinity-1686a)
- feat(query): Make `BooleanQuery` support `minimum_number_should_match` [#2405](https://github.com/quickwit-oss/tantivy/pull/2405)(@LebranceBW)
- **RegexPhraseQuery**
`RegexPhraseQuery` supports phrase queries with regex. E.g. query "b.* b.* wolf" matches "big bad wolf". Slop is supported as well: "b.* wolf"~2 matches "big bad wolf" [#2516](https://github.com/quickwit-oss/tantivy/pull/2516)(@PSeitz)
- **Optional Index in Multivalue Columnar Index**
For mostly empty multivalued indices there was a large overhead during creation when iterating all docids (merge case).
This is alleviated by placing an optional index in the multivalued index to mark documents that have values.
This will slightly increase space and access time. [#2439](https://github.com/quickwit-oss/tantivy/pull/2439)(@PSeitz)
- **Store DateTime as nanoseconds in doc store** DateTime in the doc store was truncated to microseconds previously. This removes this truncation, while still keeping backwards compatibility. [#2486](https://github.com/quickwit-oss/tantivy/pull/2486)(@PSeitz)
- **Performace/Memory**
- lift clauses in LogicalAst for optimized ast during execution [#2449](https://github.com/quickwit-oss/tantivy/pull/2449)(@PSeitz)
- Use Vec instead of BTreeMap to back OwnedValue object [#2364](https://github.com/quickwit-oss/tantivy/pull/2364)(@fulmicoton)
- Replace TantivyDocument with CompactDoc. CompactDoc is much smaller and provides similar performance. [#2402](https://github.com/quickwit-oss/tantivy/pull/2402)(@PSeitz)
- Recycling buffer in PrefixPhraseScorer [#2443](https://github.com/quickwit-oss/tantivy/pull/2443)(@fulmicoton)
- **Json Type**
- JSON supports now all values on the root level. Previously an object was required. This enables support for flat mixed types. allow more JSON values, fix i64 special case [#2383](https://github.com/quickwit-oss/tantivy/pull/2383)(@PSeitz)
- add json path constructor to term [#2367](https://github.com/quickwit-oss/tantivy/pull/2367)(@PSeitz)
- **QueryParser**
- fix de-escaping too much in query parser [#2427](https://github.com/quickwit-oss/tantivy/pull/2427)(@trinity-1686a)
- improve query parser [#2416](https://github.com/quickwit-oss/tantivy/pull/2416)(@trinity-1686a)
- Support field grouping `title:(return AND "pink panther")` [#2333](https://github.com/quickwit-oss/tantivy/pull/2333)(@trinity-1686a)
- add access benchmark for columnar [#2432](https://github.com/quickwit-oss/tantivy/pull/2432)(@PSeitz)
- extend indexwriter proptests [#2342](https://github.com/quickwit-oss/tantivy/pull/2342)(@PSeitz)
- add bench & test for columnar merging [#2428](https://github.com/quickwit-oss/tantivy/pull/2428)(@PSeitz)
- Change in Executor API [#2391](https://github.com/quickwit-oss/tantivy/pull/2391)(@fulmicoton)
- Removed usage of num_cpus [#2387](https://github.com/quickwit-oss/tantivy/pull/2387)(@fulmicoton)
- use bingang for agg and stacker benchmark [#2378](https://github.com/quickwit-oss/tantivy/pull/2378)[#2492](https://github.com/quickwit-oss/tantivy/pull/2492)(@PSeitz)
- cleanup top level exports [#2382](https://github.com/quickwit-oss/tantivy/pull/2382)(@PSeitz)
- make convert_to_fast_value_and_append_to_json_term pub [#2370](https://github.com/quickwit-oss/tantivy/pull/2370)(@PSeitz)
- remove JsonTermWriter [#2238](https://github.com/quickwit-oss/tantivy/pull/2238)(@PSeitz)
- validate sort by field type [#2336](https://github.com/quickwit-oss/tantivy/pull/2336)(@PSeitz)
- Fix trait bound of StoreReader::iter [#2360](https://github.com/quickwit-oss/tantivy/pull/2360)(@adamreichold)
- remove read_postings_no_deletes [#2526](https://github.com/quickwit-oss/tantivy/pull/2526)(@PSeitz)
Tantivy 0.22
================================
@@ -84,7 +8,7 @@ Tantivy 0.22 will be able to read indices created with Tantivy 0.21.
- Fix bug that can cause `get_docids_for_value_range` to panic. [#2295](https://github.com/quickwit-oss/tantivy/pull/2295)(@fulmicoton)
- Avoid 1 document indices by increase min memory to 15MB for indexing [#2176](https://github.com/quickwit-oss/tantivy/pull/2176)(@PSeitz)
- Fix merge panic for JSON fields [#2284](https://github.com/quickwit-oss/tantivy/pull/2284)(@PSeitz)
- Fix bug occurring when merging JSON object indexed with positions. [#2253](https://github.com/quickwit-oss/tantivy/pull/2253)(@fulmicoton)
- Fix bug occuring when merging JSON object indexed with positions. [#2253](https://github.com/quickwit-oss/tantivy/pull/2253)(@fulmicoton)
- Fix empty DateHistogram gap bug [#2183](https://github.com/quickwit-oss/tantivy/pull/2183)(@PSeitz)
- Fix range query end check (fields with less than 1 value per doc are affected) [#2226](https://github.com/quickwit-oss/tantivy/pull/2226)(@PSeitz)
- Handle exclusive out of bounds ranges on fastfield range queries [#2174](https://github.com/quickwit-oss/tantivy/pull/2174)(@PSeitz)
@@ -102,7 +26,7 @@ Tantivy 0.22 will be able to read indices created with Tantivy 0.21.
- Support to deserialize f64 from string [#2311](https://github.com/quickwit-oss/tantivy/pull/2311)(@PSeitz)
- Add a top_hits aggregator [#2198](https://github.com/quickwit-oss/tantivy/pull/2198)(@ditsuke)
- Support bool type in term aggregation [#2318](https://github.com/quickwit-oss/tantivy/pull/2318)(@PSeitz)
- Support ip addresses in term aggregation [#2319](https://github.com/quickwit-oss/tantivy/pull/2319)(@PSeitz)
- Support ip adresses in term aggregation [#2319](https://github.com/quickwit-oss/tantivy/pull/2319)(@PSeitz)
- Support date type in term aggregation [#2172](https://github.com/quickwit-oss/tantivy/pull/2172)(@PSeitz)
- Support escaped dot when addressing field [#2250](https://github.com/quickwit-oss/tantivy/pull/2250)(@PSeitz)
@@ -192,7 +116,7 @@ Tantivy 0.20
- Add PhrasePrefixQuery [#1842](https://github.com/quickwit-oss/tantivy/issues/1842) (@trinity-1686a)
- Add `coerce` option for text and numbers types (convert the value instead of returning an error during indexing) [#1904](https://github.com/quickwit-oss/tantivy/issues/1904) (@PSeitz)
- Add regex tokenizer [#1759](https://github.com/quickwit-oss/tantivy/issues/1759)(@mkleen)
- Move tokenizer API to separate crate. Having a separate crate with a stable API will allow us to use tokenizers with different tantivy versions. [#1767](https://github.com/quickwit-oss/tantivy/issues/1767) (@PSeitz)
- Move tokenizer API to seperate crate. Having a seperate crate with a stable API will allow us to use tokenizers with different tantivy versions. [#1767](https://github.com/quickwit-oss/tantivy/issues/1767) (@PSeitz)
- **Columnar crate**: New fast field handling (@fulmicoton @PSeitz) [#1806](https://github.com/quickwit-oss/tantivy/issues/1806)[#1809](https://github.com/quickwit-oss/tantivy/issues/1809)
- Support for fast fields with optional values. Previously tantivy supported only single-valued and multi-value fast fields. The encoding of optional fast fields is now very compact.
- Fast field Support for JSON (schemaless fast fields). Support multiple types on the same column. [#1876](https://github.com/quickwit-oss/tantivy/issues/1876) (@fulmicoton)
@@ -239,13 +163,13 @@ Tantivy 0.20
- Auto downgrade index record option, instead of vint error [#1857](https://github.com/quickwit-oss/tantivy/issues/1857) (@PSeitz)
- Enable range query on fast field for u64 compatible types [#1762](https://github.com/quickwit-oss/tantivy/issues/1762) (@PSeitz) [#1876]
- sstable
- Isolating sstable and stacker in independent crates. [#1718](https://github.com/quickwit-oss/tantivy/issues/1718) (@fulmicoton)
- Isolating sstable and stacker in independant crates. [#1718](https://github.com/quickwit-oss/tantivy/issues/1718) (@fulmicoton)
- New sstable format [#1943](https://github.com/quickwit-oss/tantivy/issues/1943)[#1953](https://github.com/quickwit-oss/tantivy/issues/1953) (@trinity-1686a)
- Use DeltaReader directly to implement Dictionary::ord_to_term [#1928](https://github.com/quickwit-oss/tantivy/issues/1928) (@trinity-1686a)
- Use DeltaReader directly to implement Dictionary::term_ord [#1925](https://github.com/quickwit-oss/tantivy/issues/1925) (@trinity-1686a)
- Add separate tokenizer manager for fast fields [#2019](https://github.com/quickwit-oss/tantivy/issues/2019) (@PSeitz)
- Use DeltaReader directly to implement Dictionnary::ord_to_term [#1928](https://github.com/quickwit-oss/tantivy/issues/1928) (@trinity-1686a)
- Use DeltaReader directly to implement Dictionnary::term_ord [#1925](https://github.com/quickwit-oss/tantivy/issues/1925) (@trinity-1686a)
- Add seperate tokenizer manager for fast fields [#2019](https://github.com/quickwit-oss/tantivy/issues/2019) (@PSeitz)
- Make construction of LevenshteinAutomatonBuilder for FuzzyTermQuery instances lazy. [#1756](https://github.com/quickwit-oss/tantivy/issues/1756) (@adamreichold)
- Added support for madvise when opening an mmapped Index [#2036](https://github.com/quickwit-oss/tantivy/issues/2036) (@fulmicoton)
- Added support for madvise when opening an mmaped Index [#2036](https://github.com/quickwit-oss/tantivy/issues/2036) (@fulmicoton)
- Rename `DatePrecision` to `DateTimePrecision` [#2051](https://github.com/quickwit-oss/tantivy/issues/2051) (@guilload)
- Query Parser
- Quotation mark can now be used for phrase queries. [#2050](https://github.com/quickwit-oss/tantivy/issues/2050) (@fulmicoton)
@@ -284,7 +208,7 @@ Tantivy 0.19
- Add support for phrase slop in query language [#1393](https://github.com/quickwit-oss/tantivy/pull/1393) (@saroh)
- Aggregation
- Add aggregation support for date type [#1693](https://github.com/quickwit-oss/tantivy/pull/1693)(@PSeitz)
- Add support for keyed parameter in range and histogram aggregations [#1424](https://github.com/quickwit-oss/tantivy/pull/1424) (@k-yomo)
- Add support for keyed parameter in range and histgram aggregations [#1424](https://github.com/quickwit-oss/tantivy/pull/1424) (@k-yomo)
- Add aggregation bucket limit [#1363](https://github.com/quickwit-oss/tantivy/pull/1363) (@PSeitz)
- Faster indexing
- [#1610](https://github.com/quickwit-oss/tantivy/pull/1610) (@PSeitz)
@@ -727,7 +651,7 @@ Tantivy 0.4.0
- Raise the limit of number of fields (previously 256 fields) (@fulmicoton)
- Removed u32 fields. They are replaced by u64 and i64 fields (#65) (@fulmicoton)
- Optimized skip in SegmentPostings (#130) (@lnicola)
- Replacing rustc_serialize by serde. Kudos to benchmark@KodrAus and @lnicola
- Replacing rustc_serialize by serde. Kudos to @KodrAus and @lnicola
- Using error-chain (@KodrAus)
- QueryParser: (@fulmicoton)
- Explicit error returned when searched for a term that is not indexed

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@@ -1,10 +0,0 @@
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- alias: Quickwit Inc.
website: "https://quickwit.io"
title: "tantivy"
version: 0.22.0
doi: 10.5281/zenodo.13942948
date-released: 2024-10-17
url: "https://github.com/quickwit-oss/tantivy"

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@@ -11,7 +11,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
readme = "README.md"
keywords = ["search", "information", "retrieval"]
edition = "2021"
rust-version = "1.75"
rust-version = "1.63"
exclude = ["benches/*.json", "benches/*.txt"]
[dependencies]
@@ -29,7 +29,7 @@ tantivy-fst = "0.5"
memmap2 = { version = "0.9.0", optional = true }
lz4_flex = { version = "0.11", default-features = false, optional = true }
zstd = { version = "0.13", optional = true, default-features = false }
tempfile = { version = "3.12.0", optional = true }
tempfile = { version = "3.3.0", optional = true }
log = "0.4.16"
serde = { version = "1.0.136", features = ["derive"] }
serde_json = "1.0.79"
@@ -38,16 +38,16 @@ levenshtein_automata = "0.2.1"
uuid = { version = "1.0.0", features = ["v4", "serde"] }
crossbeam-channel = "0.5.4"
rust-stemmers = "1.2.0"
downcast-rs = "1.2.1"
downcast-rs = "1.2.0"
bitpacking = { version = "0.9.2", default-features = false, features = [
"bitpacker4x",
] }
census = "0.4.2"
rustc-hash = "2.0.0"
thiserror = "2.0.1"
rustc-hash = "1.1.0"
thiserror = "1.0.30"
htmlescape = "0.3.1"
fail = { version = "0.5.0", optional = true }
time = { version = "0.3.35", features = ["serde-well-known"] }
time = { version = "0.3.10", features = ["serde-well-known"] }
smallvec = "1.8.0"
rayon = "1.5.2"
lru = "0.12.0"
@@ -64,7 +64,6 @@ tantivy-bitpacker = { version = "0.6", path = "./bitpacker" }
common = { version = "0.7", path = "./common/", package = "tantivy-common" }
tokenizer-api = { version = "0.3", path = "./tokenizer-api", package = "tantivy-tokenizer-api" }
sketches-ddsketch = { version = "0.3.0", features = ["use_serde"] }
hyperloglogplus = { version = "0.4.1", features = ["const-loop"] }
futures-util = { version = "0.3.28", optional = true }
fnv = "1.0.7"
@@ -72,7 +71,7 @@ fnv = "1.0.7"
winapi = "0.3.9"
[dev-dependencies]
binggan = "0.14.0"
binggan = "0.8.0"
rand = "0.8.5"
maplit = "1.0.2"
matches = "0.1.9"

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@@ -18,7 +18,7 @@ Tantivy is, in fact, strongly inspired by Lucene's design.
## Benchmark
The following [benchmark](https://tantivy-search.github.io/bench/) breaks down the
The following [benchmark](https://tantivy-search.github.io/bench/) breakdowns
performance for different types of queries/collections.
Your mileage WILL vary depending on the nature of queries and their load.

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@@ -1,7 +1,7 @@
Make schema_builder API fluent.
fix doc serialization and prevent compression problems
u64 , etc. should return Result<Option> now that we support optional missing a column is really not an error
u64 , etc. shoudl return Resutl<Option> now that we support optional missing a column is really not an error
remove fastfield codecs
ditch the first_or_default trick. if it is still useful, improve its implementation.
rename FastFieldReaders::open to load

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@@ -1,4 +1,3 @@
use binggan::plugins::PeakMemAllocPlugin;
use binggan::{black_box, InputGroup, PeakMemAlloc, INSTRUMENTED_SYSTEM};
use rand::prelude::SliceRandom;
use rand::rngs::StdRng;
@@ -18,9 +17,7 @@ pub static GLOBAL: &PeakMemAlloc<std::alloc::System> = &INSTRUMENTED_SYSTEM;
/// runner.register("average_u64", move |index| average_u64(index));
macro_rules! register {
($runner:expr, $func:ident) => {
$runner.register(stringify!($func), move |index| {
$func(index);
})
$runner.register(stringify!($func), move |index| $func(index))
};
}
@@ -45,8 +42,7 @@ fn main() {
}
fn bench_agg(mut group: InputGroup<Index>) {
group.add_plugin(PeakMemAllocPlugin::new(GLOBAL));
group.set_alloc(GLOBAL); // Set the peak mem allocator. This will enable peak memory reporting.
register!(group, average_u64);
register!(group, average_f64);
register!(group, average_f64_u64);
@@ -55,15 +51,10 @@ fn bench_agg(mut group: InputGroup<Index>) {
register!(group, percentiles_f64);
register!(group, terms_few);
register!(group, terms_many);
register!(group, terms_many_top_1000);
register!(group, terms_many_order_by_term);
register!(group, terms_many_with_top_hits);
register!(group, terms_many_with_avg_sub_agg);
register!(group, terms_many_json_mixed_type_with_avg_sub_agg);
register!(group, cardinality_agg);
register!(group, terms_few_with_cardinality_agg);
register!(group, terms_many_json_mixed_type_with_sub_agg_card);
register!(group, range_agg);
register!(group, range_agg_with_avg_sub_agg);
register!(group, range_agg_with_term_agg_few);
@@ -132,33 +123,6 @@ fn percentiles_f64(index: &Index) {
});
execute_agg(index, agg_req);
}
fn cardinality_agg(index: &Index) {
let agg_req = json!({
"cardinality": {
"cardinality": {
"field": "text_many_terms"
},
}
});
execute_agg(index, agg_req);
}
fn terms_few_with_cardinality_agg(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_few_terms" },
"aggs": {
"cardinality": {
"cardinality": {
"field": "text_many_terms"
},
}
}
},
});
execute_agg(index, agg_req);
}
fn terms_few(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_few_terms" } },
@@ -171,12 +135,6 @@ fn terms_many(index: &Index) {
});
execute_agg(index, agg_req);
}
fn terms_many_top_1000(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_many_terms", "size": 1000 } },
});
execute_agg(index, agg_req);
}
fn terms_many_order_by_term(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_many_terms", "order": { "_key": "desc" } } },
@@ -213,7 +171,7 @@ fn terms_many_with_avg_sub_agg(index: &Index) {
});
execute_agg(index, agg_req);
}
fn terms_many_json_mixed_type_with_avg_sub_agg(index: &Index) {
fn terms_many_json_mixed_type_with_sub_agg_card(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "json.mixed_type" },
@@ -310,7 +268,6 @@ fn range_agg_with_term_agg_many(index: &Index) {
});
execute_agg(index, agg_req);
}
fn histogram(index: &Index) {
let agg_req = json!({
"rangef64": {

View File

@@ -368,9 +368,9 @@ mod test {
for start_idx in 0u32..32u32 {
output.resize(len, 0);
bitunpacker.get_batch_u32s(start_idx, &buffer, &mut output);
for (i, output_byte) in output.iter().enumerate() {
for i in 0..len {
let expected = (start_idx + i as u32) & mask;
assert_eq!(*output_byte, expected);
assert_eq!(output[i], expected);
}
}
}

View File

@@ -35,8 +35,8 @@ const IMPLS: [FilterImplPerInstructionSet; 2] = [
const IMPLS: [FilterImplPerInstructionSet; 1] = [FilterImplPerInstructionSet::Scalar];
impl FilterImplPerInstructionSet {
#[allow(unused_variables)]
#[inline]
#[allow(unused_variables)] // on non-x86_64, code is unused.
fn from(code: u8) -> FilterImplPerInstructionSet {
#[cfg(target_arch = "x86_64")]
if code == FilterImplPerInstructionSet::AVX2 as u8 {

View File

@@ -23,7 +23,7 @@ downcast-rs = "1.2.0"
proptest = "1"
more-asserts = "0.3.1"
rand = "0.8"
binggan = "0.14.0"
binggan = "0.8.1"
[[bench]]
name = "bench_merge"

View File

@@ -31,7 +31,7 @@ restriction on 50% of the values (e.g. a 64-bit hash). On the other hand, a lot
# Columnar format
This columnar format may have more than one column (with different types) associated to the same `column_name` (see [Coercion rules](#coercion-rules) above).
The `(column_name, column_type)` couple however uniquely identifies a column.
The `(column_name, columne_type)` couple however uniquely identifies a column.
That couple is serialized as a column `column_key`. The format of that key is:
`[column_name][ZERO_BYTE][column_type_header: u8]`

View File

@@ -1,6 +1,6 @@
pub mod common;
use binggan::BenchRunner;
use binggan::{black_box, BenchRunner};
use common::{generate_columnar_with_name, Card};
use tantivy_columnar::*;
@@ -29,7 +29,7 @@ fn main() {
add_combo(Card::Multi, Card::Dense);
add_combo(Card::Multi, Card::Sparse);
let mut runner: BenchRunner = BenchRunner::new();
let runner: BenchRunner = BenchRunner::new();
let mut group = runner.new_group();
for (input_name, columnar_readers) in inputs.iter() {
group.register_with_input(
@@ -41,7 +41,7 @@ fn main() {
let merge_row_order = StackMergeOrder::stack(&columnar_readers[..]);
merge_columnar(&columnar_readers, &[], merge_row_order.into(), &mut out).unwrap();
Some(out.len() as u64)
black_box(out);
},
);
}

View File

@@ -10,7 +10,7 @@
# Perf and Size
* remove alloc in `ord_to_term`
+ multivaued range queries restart from the beginning all of the time.
+ multivaued range queries restrat frm the beginning all of the time.
* re-add ZSTD compression for dictionaries
no systematic monotonic mapping
consider removing multilinear
@@ -30,7 +30,7 @@ investigate if should have better errors? io::Error is overused at the moment.
rename rank/select in unit tests
Review the public API via cargo doc
go through TODOs
remove all doc_id occurrences -> row_id
remove all doc_id occurences -> row_id
use the rank & select naming in unit tests branch.
multi-linear -> blockwise
linear codec -> simply a multiplication for the index column
@@ -43,5 +43,5 @@ isolate u128_based and uniform naming
# Other
fix enhance column-cli
# Santa Claus
# Santa claus
autodetect datetime ipaddr, plug customizable tokenizer.

View File

@@ -66,7 +66,7 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
&'a self,
docs: &'a [u32],
accessor: &Column<T>,
) -> impl Iterator<Item = (DocId, T)> + 'a {
) -> impl Iterator<Item = (DocId, T)> + '_ {
if accessor.index.get_cardinality().is_full() {
docs.iter().cloned().zip(self.val_cache.iter().cloned())
} else {

View File

@@ -173,7 +173,7 @@ mod tests {
.into();
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
let SerializableColumnIndex::Multivalued(start_index_iterable) = merged_column_index else {
panic!("Expected a multivalued index")
panic!("Excpected a multivalued index")
};
let mut output = Vec::new();
serialize_multivalued_index(&start_index_iterable, &mut output).unwrap();
@@ -211,7 +211,7 @@ mod tests {
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
let SerializableColumnIndex::Multivalued(start_index_iterable) = merged_column_index else {
panic!("Expected a multivalued index")
panic!("Excpected a multivalued index")
};
let mut output = Vec::new();
serialize_multivalued_index(&start_index_iterable, &mut output).unwrap();

View File

@@ -58,7 +58,7 @@ struct ShuffledIndex<'a> {
merge_order: &'a ShuffleMergeOrder,
}
impl Iterable<u32> for ShuffledIndex<'_> {
impl<'a> Iterable<u32> for ShuffledIndex<'a> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new(
self.merge_order
@@ -127,7 +127,7 @@ fn integrate_num_vals(num_vals: impl Iterator<Item = u32>) -> impl Iterator<Item
)
}
impl Iterable<u32> for ShuffledMultivaluedIndex<'_> {
impl<'a> Iterable<u32> for ShuffledMultivaluedIndex<'a> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
let num_vals_per_row = iter_num_values(self.column_indexes, self.merge_order);
Box::new(integrate_num_vals(num_vals_per_row))

View File

@@ -123,7 +123,7 @@ fn get_num_values_iterator<'a>(
}
}
impl Iterable<u32> for StackedStartOffsets<'_> {
impl<'a> Iterable<u32> for StackedStartOffsets<'a> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
let num_values_it = (0..self.column_indexes.len()).flat_map(|columnar_id| {
let num_docs = self.stack_merge_order.columnar_range(columnar_id).len() as u32;

View File

@@ -28,7 +28,7 @@ pub enum ColumnIndex {
Full,
Optional(OptionalIndex),
/// In addition, at index num_rows, an extra value is added
/// containing the overall number of values.
/// containing the overal number of values.
Multivalued(MultiValueIndex),
}

View File

@@ -86,7 +86,7 @@ pub struct OptionalIndex {
block_metas: Arc<[BlockMeta]>,
}
impl Iterable<u32> for &OptionalIndex {
impl<'a> Iterable<u32> for &'a OptionalIndex {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new(self.iter_rows())
}
@@ -123,7 +123,7 @@ enum BlockSelectCursor<'a> {
Sparse(<SparseBlock<'a> as Set<u16>>::SelectCursor<'a>),
}
impl BlockSelectCursor<'_> {
impl<'a> BlockSelectCursor<'a> {
fn select(&mut self, rank: u16) -> u16 {
match self {
BlockSelectCursor::Dense(dense_select_cursor) => dense_select_cursor.select(rank),
@@ -141,7 +141,7 @@ pub struct OptionalIndexSelectCursor<'a> {
num_null_rows_before_block: RowId,
}
impl OptionalIndexSelectCursor<'_> {
impl<'a> OptionalIndexSelectCursor<'a> {
fn search_and_load_block(&mut self, rank: RowId) {
if rank < self.current_block_end_rank {
// we are already in the right block
@@ -165,7 +165,7 @@ impl OptionalIndexSelectCursor<'_> {
}
}
impl SelectCursor<RowId> for OptionalIndexSelectCursor<'_> {
impl<'a> SelectCursor<RowId> for OptionalIndexSelectCursor<'a> {
fn select(&mut self, rank: RowId) -> RowId {
self.search_and_load_block(rank);
let index_in_block = (rank - self.num_null_rows_before_block) as u16;
@@ -174,9 +174,7 @@ impl SelectCursor<RowId> for OptionalIndexSelectCursor<'_> {
}
impl Set<RowId> for OptionalIndex {
type SelectCursor<'b>
= OptionalIndexSelectCursor<'b>
where Self: 'b;
type SelectCursor<'b> = OptionalIndexSelectCursor<'b> where Self: 'b;
// Check if value at position is not null.
#[inline]
fn contains(&self, row_id: RowId) -> bool {
@@ -505,7 +503,7 @@ fn deserialize_optional_index_block_metadatas(
non_null_rows_before_block += num_non_null_rows;
}
block_metas.resize(
num_rows.div_ceil(ELEMENTS_PER_BLOCK) as usize,
((num_rows + ELEMENTS_PER_BLOCK - 1) / ELEMENTS_PER_BLOCK) as usize,
BlockMeta {
non_null_rows_before_block,
start_byte_offset,

View File

@@ -23,6 +23,7 @@ fn set_bit_at(input: &mut u64, n: u16) {
///
/// When translating a dense index to the original index, we can use the offset to find the correct
/// block. Direct computation is not possible, but we can employ a linear or binary search.
const ELEMENTS_PER_MINI_BLOCK: u16 = 64;
const MINI_BLOCK_BITVEC_NUM_BYTES: usize = 8;
const MINI_BLOCK_OFFSET_NUM_BYTES: usize = 2;
@@ -108,7 +109,7 @@ pub struct DenseBlockSelectCursor<'a> {
dense_block: DenseBlock<'a>,
}
impl SelectCursor<u16> for DenseBlockSelectCursor<'_> {
impl<'a> SelectCursor<u16> for DenseBlockSelectCursor<'a> {
#[inline]
fn select(&mut self, rank: u16) -> u16 {
self.block_id = self
@@ -122,9 +123,7 @@ impl SelectCursor<u16> for DenseBlockSelectCursor<'_> {
}
impl<'a> Set<u16> for DenseBlock<'a> {
type SelectCursor<'b>
= DenseBlockSelectCursor<'a>
where Self: 'b;
type SelectCursor<'b> = DenseBlockSelectCursor<'a> where Self: 'b;
#[inline(always)]
fn contains(&self, el: u16) -> bool {
@@ -174,7 +173,7 @@ impl<'a> Set<u16> for DenseBlock<'a> {
}
}
impl DenseBlock<'_> {
impl<'a> DenseBlock<'a> {
#[inline]
fn mini_block(&self, mini_block_id: u16) -> DenseMiniBlock {
let data_start_pos = mini_block_id as usize * MINI_BLOCK_NUM_BYTES;

View File

@@ -31,10 +31,8 @@ impl<'a> SelectCursor<u16> for SparseBlock<'a> {
}
}
impl Set<u16> for SparseBlock<'_> {
type SelectCursor<'b>
= Self
where Self: 'b;
impl<'a> Set<u16> for SparseBlock<'a> {
type SelectCursor<'b> = Self where Self: 'b;
#[inline(always)]
fn contains(&self, el: u16) -> bool {
@@ -69,7 +67,7 @@ fn get_u16(data: &[u8], byte_position: usize) -> u16 {
u16::from_le_bytes(bytes)
}
impl SparseBlock<'_> {
impl<'a> SparseBlock<'a> {
#[inline(always)]
fn value_at_idx(&self, data: &[u8], idx: u16) -> u16 {
let start_offset: usize = idx as usize * 2;
@@ -82,7 +80,7 @@ impl SparseBlock<'_> {
}
#[inline]
#[expect(clippy::comparison_chain)]
#[allow(clippy::comparison_chain)]
// Looks for the element in the block. Returns the positions if found.
fn binary_search(&self, target: u16) -> Result<u16, u16> {
let data = &self.0;

View File

@@ -110,8 +110,8 @@ fn test_null_index(data: &[bool]) {
.map(|(pos, _val)| pos as u32)
.collect();
let mut select_iter = null_index.select_cursor();
for (i, expected) in orig_idx_with_value.iter().enumerate() {
assert_eq!(select_iter.select(i as u32), *expected);
for i in 0..orig_idx_with_value.len() {
assert_eq!(select_iter.select(i as u32), orig_idx_with_value[i]);
}
let step_size = (orig_idx_with_value.len() / 100).max(1);

View File

@@ -31,7 +31,7 @@ pub enum SerializableColumnIndex<'a> {
Multivalued(SerializableMultivalueIndex<'a>),
}
impl SerializableColumnIndex<'_> {
impl<'a> SerializableColumnIndex<'a> {
pub fn get_cardinality(&self) -> Cardinality {
match self {
SerializableColumnIndex::Full => Cardinality::Full,

View File

@@ -34,7 +34,6 @@ fn compute_stats(vals: impl Iterator<Item = u64>) -> ColumnStats {
fn value_iter() -> impl Iterator<Item = u64> {
0..20_000
}
fn get_reader_for_bench<Codec: ColumnCodec>(data: &[u64]) -> Codec::ColumnValues {
let mut bytes = Vec::new();
let stats = compute_stats(data.iter().cloned());
@@ -42,13 +41,10 @@ fn get_reader_for_bench<Codec: ColumnCodec>(data: &[u64]) -> Codec::ColumnValues
for val in data {
codec_serializer.collect(*val);
}
codec_serializer
.serialize(&stats, Box::new(data.iter().copied()).as_mut(), &mut bytes)
.unwrap();
codec_serializer.serialize(&stats, Box::new(data.iter().copied()).as_mut(), &mut bytes);
Codec::load(OwnedBytes::new(bytes)).unwrap()
}
fn bench_get<Codec: ColumnCodec>(b: &mut Bencher, data: &[u64]) {
let col = get_reader_for_bench::<Codec>(data);
b.iter(|| {

View File

@@ -10,7 +10,7 @@ pub(crate) struct MergedColumnValues<'a, T> {
pub(crate) merge_row_order: &'a MergeRowOrder,
}
impl<T: Copy + PartialOrd + Debug + 'static> Iterable<T> for MergedColumnValues<'_, T> {
impl<'a, T: Copy + PartialOrd + Debug + 'static> Iterable<T> for MergedColumnValues<'a, T> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
match self.merge_row_order {
MergeRowOrder::Stack(_) => Box::new(

View File

@@ -184,7 +184,7 @@ impl CompactSpaceBuilder {
let mut covered_space = Vec::with_capacity(self.blanks.len());
// beginning of the blanks
// begining of the blanks
if let Some(first_blank_start) = self.blanks.first().map(RangeInclusive::start) {
if *first_blank_start != 0 {
covered_space.push(0..=first_blank_start - 1);

View File

@@ -128,7 +128,7 @@ pub fn open_u128_as_compact_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn Col
}
#[cfg(test)]
pub(crate) mod tests {
pub mod tests {
use super::*;
use crate::column_values::u64_based::{
serialize_and_load_u64_based_column_values, serialize_u64_based_column_values,

View File

@@ -39,7 +39,7 @@ impl BinarySerializable for Block {
}
fn compute_num_blocks(num_vals: u32) -> u32 {
num_vals.div_ceil(BLOCK_SIZE)
(num_vals + BLOCK_SIZE - 1) / BLOCK_SIZE
}
pub struct BlockwiseLinearEstimator {

View File

@@ -122,11 +122,12 @@ impl Line {
line
}
/// Returns a line that attempts to approximate a function
/// Returns a line that attemps to approximate a function
/// f: i in 0..[ys.num_vals()) -> ys[i].
///
/// - The approximation is always lower than the actual value. Or more rigorously, formally
/// `f(i).wrapping_sub(ys[i])` is small for any i in [0..ys.len()).
/// - The approximation is always lower than the actual value.
/// Or more rigorously, formally `f(i).wrapping_sub(ys[i])` is small
/// for any i in [0..ys.len()).
/// - It computes without panicking for any value of it.
///
/// This function is only invariable by translation if all of the

View File

@@ -39,7 +39,7 @@ struct RemappedTermOrdinalsValues<'a> {
merge_row_order: &'a MergeRowOrder,
}
impl Iterable for RemappedTermOrdinalsValues<'_> {
impl<'a> Iterable for RemappedTermOrdinalsValues<'a> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
match self.merge_row_order {
MergeRowOrder::Stack(_) => self.boxed_iter_stacked(),
@@ -50,7 +50,7 @@ impl Iterable for RemappedTermOrdinalsValues<'_> {
}
}
impl RemappedTermOrdinalsValues<'_> {
impl<'a> RemappedTermOrdinalsValues<'a> {
fn boxed_iter_stacked(&self) -> Box<dyn Iterator<Item = u64> + '_> {
let iter = self
.bytes_columns

View File

@@ -25,7 +25,7 @@ use crate::{
/// After merge, all columns belonging to the same category are coerced to
/// the same column type.
///
/// In practise, today, only Numerical columns are coerced into one type today.
/// In practise, today, only Numerical colummns are coerced into one type today.
///
/// See also [README.md].
///
@@ -63,10 +63,11 @@ impl From<ColumnType> for ColumnTypeCategory {
/// `require_columns` makes it possible to ensure that some columns will be present in the
/// resulting columnar. When a required column is a numerical column type, one of two things can
/// happen:
/// - If the required column type is compatible with all of the input columnar, the resulting merged
/// columnar will simply coerce the input column and use the required column type.
/// - If the required column type is incompatible with one of the input columnar, the merged will
/// fail with an InvalidData error.
/// - If the required column type is compatible with all of the input columnar, the resulsting
/// merged
/// columnar will simply coerce the input column and use the required column type.
/// - If the required column type is incompatible with one of the input columnar, the merged
/// will fail with an InvalidData error.
///
/// `merge_row_order` makes it possible to remove or reorder row in the resulting
/// `Columnar` table.

View File

@@ -10,13 +10,13 @@ pub struct HeapItem<'a> {
pub segment_ord: usize,
}
impl PartialEq for HeapItem<'_> {
impl<'a> PartialEq for HeapItem<'a> {
fn eq(&self, other: &Self) -> bool {
self.segment_ord == other.segment_ord
}
}
impl Eq for HeapItem<'_> {}
impl<'a> Eq for HeapItem<'a> {}
impl<'a> PartialOrd for HeapItem<'a> {
fn partial_cmp(&self, other: &HeapItem<'a>) -> Option<Ordering> {
@@ -35,7 +35,8 @@ impl<'a> Ord for HeapItem<'a> {
///
/// The item yield is actually a pair with
/// - the term
/// - a slice with the ordinal of the segments containing the terms.
/// - a slice with the ordinal of the segments containing
/// the terms.
pub struct TermMerger<'a> {
heap: BinaryHeap<HeapItem<'a>>,
current_streamers: Vec<HeapItem<'a>>,

View File

@@ -87,7 +87,7 @@ impl<V: SymbolValue> ColumnOperation<V> {
minibuf
}
/// Deserialize a column operation.
/// Deserialize a colummn operation.
/// Returns None if the buffer is empty.
///
/// Panics if the payload is invalid:
@@ -122,6 +122,7 @@ impl<T> From<T> for ColumnOperation<T> {
// In order to limit memory usage, and in order
// to benefit from the stacker, we do this by serialization our data
// as "Symbols".
#[allow(clippy::from_over_into)]
pub(super) trait SymbolValue: Clone + Copy {
// Serializes the symbol into the given buffer.
// Returns the number of bytes written into the buffer.

View File

@@ -8,7 +8,6 @@ use std::net::Ipv6Addr;
use column_operation::ColumnOperation;
pub(crate) use column_writers::CompatibleNumericalTypes;
use common::json_path_writer::JSON_END_OF_PATH;
use common::CountingWriter;
pub(crate) use serializer::ColumnarSerializer;
use stacker::{Addr, ArenaHashMap, MemoryArena};
@@ -284,17 +283,12 @@ impl ColumnarWriter {
.iter()
.map(|(column_name, addr)| (column_name, ColumnType::DateTime, addr)),
);
// TODO: replace JSON_END_OF_PATH with b'0' in columns
columns.sort_unstable_by_key(|(column_name, col_type, _)| (*column_name, *col_type));
let (arena, buffers, dictionaries) = (&self.arena, &mut self.buffers, &self.dictionaries);
let mut symbol_byte_buffer: Vec<u8> = Vec::new();
for (column_name, column_type, addr) in columns {
if column_name.contains(&JSON_END_OF_PATH) {
// Tantivy uses b'0' as a separator for nested fields in JSON.
// Column names with a b'0' are not simply ignored by the columnar (and the inverted
// index).
continue;
}
match column_type {
ColumnType::Bool => {
let column_writer: ColumnWriter = self.bool_field_hash_map.read(addr);
@@ -392,7 +386,7 @@ impl ColumnarWriter {
// Serialize [Dictionary, Column, dictionary num bytes U32::LE]
// Column: [Column Index, Column Values, column index num bytes U32::LE]
#[expect(clippy::too_many_arguments)]
#[allow(clippy::too_many_arguments)]
fn serialize_bytes_or_str_column(
cardinality: Cardinality,
num_docs: RowId,

View File

@@ -67,7 +67,7 @@ pub struct ColumnSerializer<'a, W: io::Write> {
start_offset: u64,
}
impl<W: io::Write> ColumnSerializer<'_, W> {
impl<'a, W: io::Write> ColumnSerializer<'a, W> {
pub fn finalize(self) -> io::Result<()> {
let end_offset: u64 = self.columnar_serializer.wrt.written_bytes();
let byte_range = self.start_offset..end_offset;
@@ -80,7 +80,7 @@ impl<W: io::Write> ColumnSerializer<'_, W> {
}
}
impl<W: io::Write> io::Write for ColumnSerializer<'_, W> {
impl<'a, W: io::Write> io::Write for ColumnSerializer<'a, W> {
fn write(&mut self, buf: &[u8]) -> io::Result<usize> {
self.columnar_serializer.wrt.write(buf)
}
@@ -93,3 +93,18 @@ impl<W: io::Write> io::Write for ColumnSerializer<'_, W> {
self.columnar_serializer.wrt.write_all(buf)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_prepare_key_bytes() {
let mut buffer: Vec<u8> = b"somegarbage".to_vec();
prepare_key(b"root\0child", ColumnType::Str, &mut buffer);
assert_eq!(buffer.len(), 12);
assert_eq!(&buffer[..10], b"root0child");
assert_eq!(buffer[10], 0u8);
assert_eq!(buffer[11], ColumnType::Str.to_code());
}
}

View File

@@ -7,7 +7,7 @@ pub trait Iterable<T = u64> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_>;
}
impl<T: Copy> Iterable<T> for &[T] {
impl<'a, T: Copy> Iterable<T> for &'a [T] {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
Box::new(self.iter().copied())
}

View File

@@ -17,31 +17,6 @@ impl NumericalValue {
NumericalValue::F64(_) => NumericalType::F64,
}
}
/// Tries to normalize the numerical value in the following priorities:
/// i64, i64, f64
pub fn normalize(self) -> Self {
match self {
NumericalValue::U64(val) => {
if val <= i64::MAX as u64 {
NumericalValue::I64(val as i64)
} else {
NumericalValue::F64(val as f64)
}
}
NumericalValue::I64(val) => NumericalValue::I64(val),
NumericalValue::F64(val) => {
let fract = val.fract();
if fract == 0.0 && val >= i64::MIN as f64 && val <= i64::MAX as f64 {
NumericalValue::I64(val as i64)
} else if fract == 0.0 && val >= u64::MIN as f64 && val <= u64::MAX as f64 {
NumericalValue::U64(val as u64)
} else {
NumericalValue::F64(val)
}
}
}
}
}
impl From<u64> for NumericalValue {

View File

@@ -9,6 +9,7 @@ documentation = "https://docs.rs/tantivy_common/"
homepage = "https://github.com/quickwit-oss/tantivy"
repository = "https://github.com/quickwit-oss/tantivy"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
@@ -19,7 +20,8 @@ time = { version = "0.3.10", features = ["serde-well-known"] }
serde = { version = "1.0.136", features = ["derive"] }
[dev-dependencies]
binggan = "0.14.0"
proptest = "1.0.0"
rand = "0.8.4"
[features]
unstable = [] # useful for benches.

View File

@@ -1,64 +1,39 @@
use binggan::{black_box, BenchRunner};
use rand::seq::IteratorRandom;
use rand::thread_rng;
use tantivy_common::{serialize_vint_u32, BitSet, TinySet};
#![feature(test)]
fn bench_vint() {
let mut runner = BenchRunner::new();
extern crate test;
let vals: Vec<u32> = (0..20_000).collect();
runner.bench_function("bench_vint", move |_| {
let mut out = 0u64;
for val in vals.iter().cloned() {
let mut buf = [0u8; 8];
serialize_vint_u32(val, &mut buf);
out += u64::from(buf[0]);
}
black_box(out);
});
#[cfg(test)]
mod tests {
use rand::seq::IteratorRandom;
use rand::thread_rng;
use tantivy_common::serialize_vint_u32;
use test::Bencher;
let vals: Vec<u32> = (0..20_000).choose_multiple(&mut thread_rng(), 100_000);
runner.bench_function("bench_vint_rand", move |_| {
let mut out = 0u64;
for val in vals.iter().cloned() {
let mut buf = [0u8; 8];
serialize_vint_u32(val, &mut buf);
out += u64::from(buf[0]);
}
black_box(out);
});
}
fn bench_bitset() {
let mut runner = BenchRunner::new();
runner.bench_function("bench_tinyset_pop", move |_| {
let mut tinyset = TinySet::singleton(black_box(31u32));
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
black_box(tinyset);
});
let tiny_set = TinySet::empty().insert(10u32).insert(14u32).insert(21u32);
runner.bench_function("bench_tinyset_sum", move |_| {
assert_eq!(black_box(tiny_set).into_iter().sum::<u32>(), 45u32);
});
let v = [10u32, 14u32, 21u32];
runner.bench_function("bench_tinyarr_sum", move |_| {
black_box(v.iter().cloned().sum::<u32>());
});
runner.bench_function("bench_bitset_initialize", move |_| {
black_box(BitSet::with_max_value(1_000_000));
});
}
fn main() {
bench_vint();
bench_bitset();
#[bench]
fn bench_vint(b: &mut Bencher) {
let vals: Vec<u32> = (0..20_000).collect();
b.iter(|| {
let mut out = 0u64;
for val in vals.iter().cloned() {
let mut buf = [0u8; 8];
serialize_vint_u32(val, &mut buf);
out += u64::from(buf[0]);
}
out
});
}
#[bench]
fn bench_vint_rand(b: &mut Bencher) {
let vals: Vec<u32> = (0..20_000).choose_multiple(&mut thread_rng(), 100_000);
b.iter(|| {
let mut out = 0u64;
for val in vals.iter().cloned() {
let mut buf = [0u8; 8];
serialize_vint_u32(val, &mut buf);
out += u64::from(buf[0]);
}
out
});
}
}

View File

@@ -696,3 +696,43 @@ mod tests {
}
}
}
#[cfg(all(test, feature = "unstable"))]
mod bench {
use test;
use super::{BitSet, TinySet};
#[bench]
fn bench_tinyset_pop(b: &mut test::Bencher) {
b.iter(|| {
let mut tinyset = TinySet::singleton(test::black_box(31u32));
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
});
}
#[bench]
fn bench_tinyset_sum(b: &mut test::Bencher) {
let tiny_set = TinySet::empty().insert(10u32).insert(14u32).insert(21u32);
b.iter(|| {
assert_eq!(test::black_box(tiny_set).into_iter().sum::<u32>(), 45u32);
});
}
#[bench]
fn bench_tinyarr_sum(b: &mut test::Bencher) {
let v = [10u32, 14u32, 21u32];
b.iter(|| test::black_box(v).iter().cloned().sum::<u32>());
}
#[bench]
fn bench_bitset_initialize(b: &mut test::Bencher) {
b.iter(|| BitSet::with_max_value(1_000_000));
}
}

View File

@@ -1,130 +0,0 @@
use std::io;
use std::ops::Bound;
#[derive(Clone, Debug)]
pub struct BoundsRange<T> {
pub lower_bound: Bound<T>,
pub upper_bound: Bound<T>,
}
impl<T> BoundsRange<T> {
pub fn new(lower_bound: Bound<T>, upper_bound: Bound<T>) -> Self {
BoundsRange {
lower_bound,
upper_bound,
}
}
pub fn is_unbounded(&self) -> bool {
matches!(self.lower_bound, Bound::Unbounded) && matches!(self.upper_bound, Bound::Unbounded)
}
pub fn map_bound<TTo>(&self, transform: impl Fn(&T) -> TTo) -> BoundsRange<TTo> {
BoundsRange {
lower_bound: map_bound(&self.lower_bound, &transform),
upper_bound: map_bound(&self.upper_bound, &transform),
}
}
pub fn map_bound_res<TTo, Err>(
&self,
transform: impl Fn(&T) -> Result<TTo, Err>,
) -> Result<BoundsRange<TTo>, Err> {
Ok(BoundsRange {
lower_bound: map_bound_res(&self.lower_bound, &transform)?,
upper_bound: map_bound_res(&self.upper_bound, &transform)?,
})
}
pub fn transform_inner<TTo>(
&self,
transform_lower: impl Fn(&T) -> TransformBound<TTo>,
transform_upper: impl Fn(&T) -> TransformBound<TTo>,
) -> BoundsRange<TTo> {
BoundsRange {
lower_bound: transform_bound_inner(&self.lower_bound, &transform_lower),
upper_bound: transform_bound_inner(&self.upper_bound, &transform_upper),
}
}
/// Returns the first set inner value
pub fn get_inner(&self) -> Option<&T> {
inner_bound(&self.lower_bound).or(inner_bound(&self.upper_bound))
}
}
pub enum TransformBound<T> {
/// Overwrite the bounds
NewBound(Bound<T>),
/// Use Existing bounds with new value
Existing(T),
}
/// Takes a bound and transforms the inner value into a new bound via a closure.
/// The bound variant may change by the value returned value from the closure.
pub fn transform_bound_inner_res<TFrom, TTo>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> io::Result<TransformBound<TTo>>,
) -> io::Result<Bound<TTo>> {
use self::Bound::*;
Ok(match bound {
Excluded(ref from_val) => match transform(from_val)? {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Excluded(new_val),
},
Included(ref from_val) => match transform(from_val)? {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Included(new_val),
},
Unbounded => Unbounded,
})
}
/// Takes a bound and transforms the inner value into a new bound via a closure.
/// The bound variant may change by the value returned value from the closure.
pub fn transform_bound_inner<TFrom, TTo>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> TransformBound<TTo>,
) -> Bound<TTo> {
use self::Bound::*;
match bound {
Excluded(ref from_val) => match transform(from_val) {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Excluded(new_val),
},
Included(ref from_val) => match transform(from_val) {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Included(new_val),
},
Unbounded => Unbounded,
}
}
/// Returns the inner value of a `Bound`
pub fn inner_bound<T>(val: &Bound<T>) -> Option<&T> {
match val {
Bound::Included(term) | Bound::Excluded(term) => Some(term),
Bound::Unbounded => None,
}
}
pub fn map_bound<TFrom, TTo>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> TTo,
) -> Bound<TTo> {
use self::Bound::*;
match bound {
Excluded(ref from_val) => Bound::Excluded(transform(from_val)),
Included(ref from_val) => Bound::Included(transform(from_val)),
Unbounded => Unbounded,
}
}
pub fn map_bound_res<TFrom, TTo, Err>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> Result<TTo, Err>,
) -> Result<Bound<TTo>, Err> {
use self::Bound::*;
Ok(match bound {
Excluded(ref from_val) => Excluded(transform(from_val)?),
Included(ref from_val) => Included(transform(from_val)?),
Unbounded => Unbounded,
})
}

View File

@@ -5,7 +5,6 @@ use std::ops::Deref;
pub use byteorder::LittleEndian as Endianness;
mod bitset;
pub mod bounds;
mod byte_count;
mod datetime;
pub mod file_slice;
@@ -130,11 +129,11 @@ pub fn replace_in_place(needle: u8, replacement: u8, bytes: &mut [u8]) {
}
#[cfg(test)]
pub(crate) mod test {
pub mod test {
use proptest::prelude::*;
use super::{f64_to_u64, i64_to_u64, u64_to_f64, u64_to_i64};
use super::{f64_to_u64, i64_to_u64, u64_to_f64, u64_to_i64, BinarySerializable, FixedSize};
fn test_i64_converter_helper(val: i64) {
assert_eq!(u64_to_i64(i64_to_u64(val)), val);
@@ -144,6 +143,12 @@ pub(crate) mod test {
assert_eq!(u64_to_f64(f64_to_u64(val)), val);
}
pub fn fixed_size_test<O: BinarySerializable + FixedSize + Default>() {
let mut buffer = Vec::new();
O::default().serialize(&mut buffer).unwrap();
assert_eq!(buffer.len(), O::SIZE_IN_BYTES);
}
proptest! {
#[test]
fn test_f64_converter_monotonicity_proptest((left, right) in (proptest::num::f64::NORMAL, proptest::num::f64::NORMAL)) {

View File

@@ -74,14 +74,14 @@ impl FixedSize for () {
impl<T: BinarySerializable> BinarySerializable for Vec<T> {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
BinarySerializable::serialize(&VInt(self.len() as u64), writer)?;
VInt(self.len() as u64).serialize(writer)?;
for it in self {
it.serialize(writer)?;
}
Ok(())
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Vec<T>> {
let num_items = <VInt as BinarySerializable>::deserialize(reader)?.val();
let num_items = VInt::deserialize(reader)?.val();
let mut items: Vec<T> = Vec::with_capacity(num_items as usize);
for _ in 0..num_items {
let item = T::deserialize(reader)?;
@@ -236,12 +236,12 @@ impl FixedSize for bool {
impl BinarySerializable for String {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
let data: &[u8] = self.as_bytes();
BinarySerializable::serialize(&VInt(data.len() as u64), writer)?;
VInt(data.len() as u64).serialize(writer)?;
writer.write_all(data)
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<String> {
let string_length = <VInt as BinarySerializable>::deserialize(reader)?.val() as usize;
let string_length = VInt::deserialize(reader)?.val() as usize;
let mut result = String::with_capacity(string_length);
reader
.take(string_length as u64)
@@ -253,12 +253,12 @@ impl BinarySerializable for String {
impl<'a> BinarySerializable for Cow<'a, str> {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
let data: &[u8] = self.as_bytes();
BinarySerializable::serialize(&VInt(data.len() as u64), writer)?;
VInt(data.len() as u64).serialize(writer)?;
writer.write_all(data)
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Cow<'a, str>> {
let string_length = <VInt as BinarySerializable>::deserialize(reader)?.val() as usize;
let string_length = VInt::deserialize(reader)?.val() as usize;
let mut result = String::with_capacity(string_length);
reader
.take(string_length as u64)
@@ -269,18 +269,18 @@ impl<'a> BinarySerializable for Cow<'a, str> {
impl<'a> BinarySerializable for Cow<'a, [u8]> {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
BinarySerializable::serialize(&VInt(self.len() as u64), writer)?;
VInt(self.len() as u64).serialize(writer)?;
for it in self.iter() {
BinarySerializable::serialize(it, writer)?;
it.serialize(writer)?;
}
Ok(())
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Cow<'a, [u8]>> {
let num_items = <VInt as BinarySerializable>::deserialize(reader)?.val();
let num_items = VInt::deserialize(reader)?.val();
let mut items: Vec<u8> = Vec::with_capacity(num_items as usize);
for _ in 0..num_items {
let item = <u8 as BinarySerializable>::deserialize(reader)?;
let item = u8::deserialize(reader)?;
items.push(item);
}
Ok(Cow::Owned(items))

View File

@@ -87,7 +87,7 @@ impl<W: TerminatingWrite> TerminatingWrite for BufWriter<W> {
}
}
impl TerminatingWrite for &mut Vec<u8> {
impl<'a> TerminatingWrite for &'a mut Vec<u8> {
fn terminate_ref(&mut self, _a: AntiCallToken) -> io::Result<()> {
self.flush()
}

View File

@@ -2,7 +2,7 @@
> Tantivy is a **search** engine **library** for Rust.
If you are familiar with Lucene, it's an excellent approximation to consider tantivy as Lucene for Rust. Tantivy is heavily inspired by Lucene's design and
If you are familiar with Lucene, it's an excellent approximation to consider tantivy as Lucene for rust. tantivy is heavily inspired by Lucene's design and
they both have the same scope and targeted use cases.
If you are not familiar with Lucene, let's break down our little tagline.
@@ -17,7 +17,7 @@ relevancy, collapsing, highlighting, spatial search.
experience. But keep in mind this is just a toolbox.
Which bring us to the second keyword...
- **Library** means that you will have to write code. Tantivy is not an *all-in-one* server solution like Elasticsearch for instance.
- **Library** means that you will have to write code. tantivy is not an *all-in-one* server solution like elastic search for instance.
Sometimes a functionality will not be available in tantivy because it is too
specific to your use case. By design, tantivy should make it possible to extend
@@ -31,4 +31,4 @@ relevancy, collapsing, highlighting, spatial search.
index from a different format.
Tantivy exposes a lot of low level API to do all of these things.

View File

@@ -11,7 +11,7 @@ directory shipped with tantivy is the `MmapDirectory`.
While this design has some downsides, this greatly simplifies the source code of
tantivy. Caching is also entirely delegated to the OS.
Tantivy works entirely (or almost) by directly reading the datastructures as they are laid on disk. As a result, the act of opening an indexing does not involve loading different datastructures from the disk into random access memory : starting a process, opening an index, and performing your first query can typically be done in a matter of milliseconds.
`tantivy` works entirely (or almost) by directly reading the datastructures as they are laid on disk. As a result, the act of opening an indexing does not involve loading different datastructures from the disk into random access memory : starting a process, opening an index, and performing your first query can typically be done in a matter of milliseconds.
This is an interesting property for a command line search engine, or for some multi-tenant log search engine : spawning a new process for each new query can be a perfectly sensible solution in some use case.

View File

@@ -31,13 +31,13 @@ Compression ratio is mainly affected on the fast field of the sorted property, e
When data is presorted by a field and search queries request sorting by the same field, we can leverage the natural order of the documents.
E.g. if the data is sorted by timestamp and want the top n newest docs containing a term, we can simply leveraging the order of the docids.
Note: tantivy 0.16 does not do this optimization yet.
Note: Tantivy 0.16 does not do this optimization yet.
### Pruning
Let's say we want all documents and want to apply the filter `>= 2010-08-11`. When the data is sorted, we could make a lookup in the fast field to find the docid range and use this as the filter.
Note: tantivy 0.16 does not do this optimization yet.
Note: Tantivy 0.16 does not do this optimization yet.
### Other?
@@ -45,7 +45,7 @@ In principle there are many algorithms possible that exploit the monotonically i
## Usage
The index sorting can be configured setting [`sort_by_field`](https://github.com/quickwit-oss/tantivy/blob/000d76b11a139a84b16b9b95060a1c93e8b9851c/src/core/index_meta.rs#L238) on `IndexSettings` and passing it to a `IndexBuilder`. As of tantivy 0.16 only fast fields are allowed to be used.
The index sorting can be configured setting [`sort_by_field`](https://github.com/quickwit-oss/tantivy/blob/000d76b11a139a84b16b9b95060a1c93e8b9851c/src/core/index_meta.rs#L238) on `IndexSettings` and passing it to a `IndexBuilder`. As of Tantivy 0.16 only fast fields are allowed to be used.
```rust
let settings = IndexSettings {

View File

@@ -39,7 +39,7 @@ Its representation is done by separating segments by a unicode char `\x01`, and
- `value`: The value representation is just the regular Value representation.
This representation is designed to align the natural sort of Terms with the lexicographical sort
of their binary representation (tantivy's dictionary (whether fst or sstable) is sorted and does prefix encoding).
of their binary representation (Tantivy's dictionary (whether fst or sstable) is sorted and does prefix encoding).
In the example above, the terms will be sorted as

View File

@@ -1,5 +1,3 @@
use std::ops::Bound;
// # Searching a range on an indexed int field.
//
// Below is an example of creating an indexed integer field in your schema
@@ -7,7 +5,7 @@ use std::ops::Bound;
use tantivy::collector::Count;
use tantivy::query::RangeQuery;
use tantivy::schema::{Schema, INDEXED};
use tantivy::{doc, Index, IndexWriter, Result, Term};
use tantivy::{doc, Index, IndexWriter, Result};
fn main() -> Result<()> {
// For the sake of simplicity, this schema will only have 1 field
@@ -29,10 +27,7 @@ fn main() -> Result<()> {
reader.reload()?;
let searcher = reader.searcher();
// The end is excluded i.e. here we are searching up to 1969
let docs_in_the_sixties = RangeQuery::new(
Bound::Included(Term::from_field_u64(year_field, 1960)),
Bound::Excluded(Term::from_field_u64(year_field, 1970)),
);
let docs_in_the_sixties = RangeQuery::new_u64("year".to_string(), 1960..1970);
// Uses a Count collector to sum the total number of docs in the range
let num_60s_books = searcher.search(&docs_in_the_sixties, &Count)?;
assert_eq!(num_60s_books, 10);

View File

@@ -28,7 +28,7 @@ fn main() -> tantivy::Result<()> {
let mut index_writer: IndexWriter = index.writer_with_num_threads(1, 50_000_000)?;
index_writer.add_document(doc!(title => "The Old Man and the Sea"))?;
index_writer.add_document(doc!(title => "Of Mice and Men"))?;
index_writer.add_document(doc!(title => "The modern Prometheus"))?;
index_writer.add_document(doc!(title => "The modern Promotheus"))?;
index_writer.commit()?;
let reader = index.reader()?;

View File

@@ -151,7 +151,7 @@ impl fmt::Debug for OwnedBytes {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
// We truncate the bytes in order to make sure the debug string
// is not too long.
let bytes_truncated: &[u8] = if self.len() > 10 {
let bytes_truncated: &[u8] = if self.len() > 8 {
&self.as_slice()[..10]
} else {
self.as_slice()
@@ -252,11 +252,6 @@ mod tests {
format!("{short_bytes:?}"),
"OwnedBytes([97, 98, 99, 100], len=4)"
);
let medium_bytes = OwnedBytes::new(b"abcdefghi".as_ref());
assert_eq!(
format!("{medium_bytes:?}"),
"OwnedBytes([97, 98, 99, 100, 101, 102, 103, 104, 105], len=9)"
);
let long_bytes = OwnedBytes::new(b"abcdefghijklmnopq".as_ref());
assert_eq!(
format!("{long_bytes:?}"),

View File

@@ -109,8 +109,6 @@ where F: nom::Parser<I, (O, ErrorList), Infallible> {
move |input: I| match f.parse(input) {
Ok((input, (output, _err))) => Ok((input, output)),
Err(Err::Incomplete(needed)) => Err(Err::Incomplete(needed)),
// old versions don't understand this is uninhabited and need the empty match to help,
// newer versions warn because this arm is unreachable (which it is indeed).
Err(Err::Error(val)) | Err(Err::Failure(val)) => match val {},
}
}

View File

@@ -6,12 +6,12 @@ use std::fmt::Write;
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq)]
pub enum Occur {
/// For a given document to be considered for scoring,
/// at least one of the queries with the Should or the Must
/// at least one of the terms with the Should or the Must
/// Occur constraint must be within the document.
Should,
/// Document without the queries are excluded from the search.
/// Document without the term are excluded from the search.
Must,
/// Document that contain the query are excluded from the
/// Document that contain the term are excluded from the
/// search.
MustNot,
}

View File

@@ -6,7 +6,7 @@ use nom::bytes::complete::tag;
use nom::character::complete::{
anychar, char, digit1, multispace0, multispace1, none_of, one_of, satisfy, u32,
};
use nom::combinator::{eof, map, map_res, not, opt, peek, recognize, value, verify};
use nom::combinator::{eof, map, map_res, opt, peek, recognize, value, verify};
use nom::error::{Error, ErrorKind};
use nom::multi::{many0, many1, separated_list0};
use nom::sequence::{delimited, preceded, separated_pair, terminated, tuple};
@@ -20,7 +20,7 @@ use crate::Occur;
// Note: '-' char is only forbidden at the beginning of a field name, would be clearer to add it to
// special characters.
const SPECIAL_CHARS: &[char] = &[
'+', '^', '`', ':', '{', '}', '"', '\'', '[', ']', '(', ')', '!', '\\', ' ',
'+', '^', '`', ':', '{', '}', '"', '\'', '[', ']', '(', ')', '!', '\\', '*', ' ',
];
/// consume a field name followed by colon. Return the field name with escape sequence
@@ -679,10 +679,7 @@ fn negate(expr: UserInputAst) -> UserInputAst {
fn leaf(inp: &str) -> IResult<&str, UserInputAst> {
alt((
delimited(char('('), ast, char(')')),
preceded(
peek(not(tag("*:"))),
map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)),
),
map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)),
map(preceded(tuple((tag("NOT"), multispace1)), leaf), negate),
literal,
))(inp)
@@ -703,13 +700,7 @@ fn leaf_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>> {
),
),
(
value(
(),
preceded(
peek(not(tag("*:"))), // Fail if `*:` is detected
char('*'), // Match standalone `*`
),
),
value((), char('*')),
map(nothing, |_| {
(Some(UserInputAst::from(UserInputLeaf::All)), Vec::new())
}),
@@ -776,7 +767,7 @@ fn occur_leaf(inp: &str) -> IResult<&str, (Option<Occur>, UserInputAst)> {
tuple((fallible(occur_symbol), boosted_leaf))(inp)
}
#[expect(clippy::type_complexity)]
#[allow(clippy::type_complexity)]
fn operand_occur_leaf_infallible(
inp: &str,
) -> JResult<&str, (Option<BinaryOperand>, Option<Occur>, Option<UserInputAst>)> {
@@ -842,7 +833,7 @@ fn aggregate_infallible_expressions(
if early_operand {
err.push(LenientErrorInternal {
pos: 0,
message: "Found unexpected boolean operator before term".to_string(),
message: "Found unexpeted boolean operator before term".to_string(),
});
}
@@ -865,7 +856,7 @@ fn aggregate_infallible_expressions(
_ => Some(Occur::Should),
};
if occur == &Some(Occur::MustNot) && default_op == Some(Occur::Should) {
// if occur is MustNot *and* operation is OR, we synthesize a ShouldNot
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
clauses.push(vec![(
Some(Occur::Should),
ast.clone().unary(Occur::MustNot),
@@ -881,7 +872,7 @@ fn aggregate_infallible_expressions(
None => None,
};
if occur == &Some(Occur::MustNot) && default_op == Some(Occur::Should) {
// if occur is MustNot *and* operation is OR, we synthesize a ShouldNot
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
clauses.push(vec![(
Some(Occur::Should),
ast.clone().unary(Occur::MustNot),
@@ -906,7 +897,7 @@ fn aggregate_infallible_expressions(
}
Some(BinaryOperand::Or) => {
if last_occur == Some(Occur::MustNot) {
// if occur is MustNot *and* operation is OR, we synthesize a ShouldNot
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
clauses.push(vec![(Some(Occur::Should), last_ast.unary(Occur::MustNot))]);
} else {
clauses.push(vec![(last_occur.or(Some(Occur::Should)), last_ast)]);
@@ -1066,7 +1057,7 @@ mod test {
valid_parse("1", 1.0, "");
valid_parse("0.234234 aaa", 0.234234f64, " aaa");
error_parse(".3332");
// TODO trinity-1686a: I disagree that it should fail, I think it should succeed,
// TODO trinity-1686a: I disagree that it should fail, I think it should succeeed,
// consuming only "1", and leave "." for the next thing (which will likely fail then)
// error_parse("1.");
error_parse("-1.");
@@ -1231,7 +1222,6 @@ mod test {
#[test]
fn test_field_name() {
assert_eq!(super::field_name("*:a"), Ok(("a", "*".to_string())));
assert_eq!(
super::field_name(".my.field.name:a"),
Ok(("a", ".my.field.name".to_string()))
@@ -1477,7 +1467,7 @@ mod test {
}
#[test]
fn test_parse_query_to_trimming_spaces() {
fn test_parse_query_to_triming_spaces() {
test_parse_query_to_ast_helper(" abc", "abc");
test_parse_query_to_ast_helper("abc ", "abc");
test_parse_query_to_ast_helper("( a OR abc)", "(?a ?abc)");
@@ -1507,11 +1497,6 @@ mod test {
test_is_parse_err(r#"field:(+a -"b c""#, r#"(+"field":a -"field":"b c")"#);
}
#[test]
fn field_re_specification() {
test_parse_query_to_ast_helper(r#"field:(abc AND b:cde)"#, r#"(+"field":abc +"b":cde)"#);
}
#[test]
fn test_parse_query_single_term() {
test_parse_query_to_ast_helper("abc", "abc");
@@ -1537,11 +1522,6 @@ mod test {
test_parse_query_to_ast_helper("abc:toto", "\"abc\":toto");
}
#[test]
fn all_field_star() {
test_parse_query_to_ast_helper("*:toto", "\"*\":toto");
}
#[test]
fn test_phrase_with_field() {
test_parse_query_to_ast_helper("abc:\"happy tax payer\"", "\"abc\":\"happy tax payer\"");

View File

@@ -267,7 +267,7 @@ impl fmt::Debug for UserInputAst {
match *self {
UserInputAst::Clause(ref subqueries) => {
if subqueries.is_empty() {
// TODO this will break ast reserialization, is writing "( )" enough?
// TODO this will break ast reserialization, is writing "( )" enought?
write!(formatter, "<emptyclause>")?;
} else {
write!(formatter, "(")?;

View File

@@ -21,10 +21,7 @@ impl<K, V, S> MemoryConsumption for HashMap<K, V, S> {
/// Aggregation memory limit after which the request fails. Defaults to DEFAULT_MEMORY_LIMIT
/// (500MB). The limit is shared by all SegmentCollectors
///
/// The memory limit is also a guard, which tracks how much it allocated and releases it's memory
/// on the shared counter. Cloning will create a new guard.
pub struct AggregationLimitsGuard {
pub struct AggregationLimits {
/// The counter which is shared between the aggregations for one request.
memory_consumption: Arc<AtomicU64>,
/// The memory_limit in bytes
@@ -32,41 +29,28 @@ pub struct AggregationLimitsGuard {
/// The maximum number of buckets _returned_
/// This is not counting intermediate buckets.
bucket_limit: u32,
/// Allocated memory with this guard.
allocated_with_the_guard: u64,
}
impl Clone for AggregationLimitsGuard {
impl Clone for AggregationLimits {
fn clone(&self) -> Self {
Self {
memory_consumption: Arc::clone(&self.memory_consumption),
memory_limit: self.memory_limit,
bucket_limit: self.bucket_limit,
allocated_with_the_guard: 0,
}
}
}
impl Drop for AggregationLimitsGuard {
/// Removes the memory consumed tracked by this _instance_ of AggregationLimits.
/// This is used to clear the segment specific memory consumption all at once.
fn drop(&mut self) {
self.memory_consumption
.fetch_sub(self.allocated_with_the_guard, Ordering::Relaxed);
}
}
impl Default for AggregationLimitsGuard {
impl Default for AggregationLimits {
fn default() -> Self {
Self {
memory_consumption: Default::default(),
memory_limit: DEFAULT_MEMORY_LIMIT.into(),
bucket_limit: DEFAULT_BUCKET_LIMIT,
allocated_with_the_guard: 0,
}
}
}
impl AggregationLimitsGuard {
impl AggregationLimits {
/// *memory_limit*
/// memory_limit is defined in bytes.
/// Aggregation fails when the estimated memory consumption of the aggregation is higher than
@@ -83,15 +67,24 @@ impl AggregationLimitsGuard {
memory_consumption: Default::default(),
memory_limit: memory_limit.unwrap_or(DEFAULT_MEMORY_LIMIT).into(),
bucket_limit: bucket_limit.unwrap_or(DEFAULT_BUCKET_LIMIT),
}
}
/// Create a new ResourceLimitGuard, that will release the memory when dropped.
pub fn new_guard(&self) -> ResourceLimitGuard {
ResourceLimitGuard {
// The counter which is shared between the aggregations for one request.
memory_consumption: Arc::clone(&self.memory_consumption),
// The memory_limit in bytes
memory_limit: self.memory_limit,
allocated_with_the_guard: 0,
}
}
pub(crate) fn add_memory_consumed(&mut self, add_num_bytes: u64) -> crate::Result<()> {
pub(crate) fn add_memory_consumed(&self, add_num_bytes: u64) -> crate::Result<()> {
let prev_value = self
.memory_consumption
.fetch_add(add_num_bytes, Ordering::Relaxed);
self.allocated_with_the_guard += add_num_bytes;
validate_memory_consumption(prev_value + add_num_bytes, self.memory_limit)?;
Ok(())
}
@@ -116,6 +109,34 @@ fn validate_memory_consumption(
Ok(())
}
pub struct ResourceLimitGuard {
/// The counter which is shared between the aggregations for one request.
memory_consumption: Arc<AtomicU64>,
/// The memory_limit in bytes
memory_limit: ByteCount,
/// Allocated memory with this guard.
allocated_with_the_guard: u64,
}
impl ResourceLimitGuard {
pub(crate) fn add_memory_consumed(&self, add_num_bytes: u64) -> crate::Result<()> {
let prev_value = self
.memory_consumption
.fetch_add(add_num_bytes, Ordering::Relaxed);
validate_memory_consumption(prev_value + add_num_bytes, self.memory_limit)?;
Ok(())
}
}
impl Drop for ResourceLimitGuard {
/// Removes the memory consumed tracked by this _instance_ of AggregationLimits.
/// This is used to clear the segment specific memory consumption all at once.
fn drop(&mut self) {
self.memory_consumption
.fetch_sub(self.allocated_with_the_guard, Ordering::Relaxed);
}
}
#[cfg(test)]
mod tests {
use crate::aggregation::tests::exec_request_with_query;

View File

@@ -34,9 +34,8 @@ use super::bucket::{
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
};
use super::metric::{
AverageAggregation, CardinalityAggregationReq, CountAggregation, ExtendedStatsAggregation,
MaxAggregation, MinAggregation, PercentilesAggregationReq, StatsAggregation, SumAggregation,
TopHitsAggregationReq,
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation,
PercentilesAggregationReq, StatsAggregation, SumAggregation, TopHitsAggregation,
};
/// The top-level aggregation request structure, which contains [`Aggregation`] and their user
@@ -160,10 +159,7 @@ pub enum AggregationVariants {
Percentiles(PercentilesAggregationReq),
/// Finds the top k values matching some order
#[serde(rename = "top_hits")]
TopHits(TopHitsAggregationReq),
/// Computes an estimate of the number of unique values
#[serde(rename = "cardinality")]
Cardinality(CardinalityAggregationReq),
TopHits(TopHitsAggregation),
}
impl AggregationVariants {
@@ -183,7 +179,6 @@ impl AggregationVariants {
AggregationVariants::Sum(sum) => vec![sum.field_name()],
AggregationVariants::Percentiles(per) => vec![per.field_name()],
AggregationVariants::TopHits(top_hits) => top_hits.field_names(),
AggregationVariants::Cardinality(per) => vec![per.field_name()],
}
}
@@ -208,7 +203,7 @@ impl AggregationVariants {
_ => None,
}
}
pub(crate) fn as_top_hits(&self) -> Option<&TopHitsAggregationReq> {
pub(crate) fn as_top_hits(&self) -> Option<&TopHitsAggregation> {
match &self {
AggregationVariants::TopHits(top_hits) => Some(top_hits),
_ => None,

View File

@@ -5,15 +5,16 @@ use std::io;
use columnar::{Column, ColumnBlockAccessor, ColumnType, DynamicColumn, StrColumn};
use super::agg_limits::ResourceLimitGuard;
use super::agg_req::{Aggregation, AggregationVariants, Aggregations};
use super::bucket::{
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
};
use super::metric::{
AverageAggregation, CardinalityAggregationReq, CountAggregation, ExtendedStatsAggregation,
MaxAggregation, MinAggregation, StatsAggregation, SumAggregation,
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation,
StatsAggregation, SumAggregation,
};
use super::segment_agg_result::AggregationLimitsGuard;
use super::segment_agg_result::AggregationLimits;
use super::VecWithNames;
use crate::aggregation::{f64_to_fastfield_u64, Key};
use crate::index::SegmentReader;
@@ -45,7 +46,7 @@ pub struct AggregationWithAccessor {
pub(crate) str_dict_column: Option<StrColumn>,
pub(crate) field_type: ColumnType,
pub(crate) sub_aggregation: AggregationsWithAccessor,
pub(crate) limits: AggregationLimitsGuard,
pub(crate) limits: ResourceLimitGuard,
pub(crate) column_block_accessor: ColumnBlockAccessor<u64>,
/// Used for missing term aggregation, which checks all columns for existence.
/// And also for `top_hits` aggregation, which may sort on multiple fields.
@@ -68,7 +69,7 @@ impl AggregationWithAccessor {
sub_aggregation: &Aggregations,
reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: AggregationLimitsGuard,
limits: AggregationLimits,
) -> crate::Result<Vec<AggregationWithAccessor>> {
let mut agg = agg.clone();
@@ -90,7 +91,7 @@ impl AggregationWithAccessor {
&limits,
)?,
agg: agg.clone(),
limits: limits.clone(),
limits: limits.new_guard(),
missing_value_for_accessor: None,
str_dict_column: None,
column_block_accessor: Default::default(),
@@ -105,7 +106,6 @@ impl AggregationWithAccessor {
value_accessors: HashMap<String, Vec<DynamicColumn>>|
-> crate::Result<()> {
let (accessor, field_type) = accessors.first().expect("at least one accessor");
let limits = limits.clone();
let res = AggregationWithAccessor {
segment_ordinal,
// TODO: We should do away with the `accessor` field altogether
@@ -120,7 +120,7 @@ impl AggregationWithAccessor {
&limits,
)?,
agg: agg.clone(),
limits,
limits: limits.new_guard(),
missing_value_for_accessor: None,
str_dict_column: None,
column_block_accessor: Default::default(),
@@ -162,11 +162,6 @@ impl AggregationWithAccessor {
field: ref field_name,
ref missing,
..
})
| Cardinality(CardinalityAggregationReq {
field: ref field_name,
ref missing,
..
}) => {
let str_dict_column = reader.fast_fields().str(field_name)?;
let allowed_column_types = [
@@ -186,8 +181,6 @@ impl AggregationWithAccessor {
.map(|missing| match missing {
Key::Str(_) => ColumnType::Str,
Key::F64(_) => ColumnType::F64,
Key::I64(_) => ColumnType::I64,
Key::U64(_) => ColumnType::U64,
})
.unwrap_or(ColumnType::U64);
let column_and_types = get_all_ff_reader_or_empty(
@@ -234,18 +227,14 @@ impl AggregationWithAccessor {
missing.clone()
};
let missing_value_for_accessor =
if let Some(missing) = missing_value_term_agg.as_ref() {
get_missing_val_as_u64_lenient(
column_type,
missing,
agg.agg.get_fast_field_names()[0],
)?
} else {
None
};
let missing_value_for_accessor = if let Some(missing) =
missing_value_term_agg.as_ref()
{
get_missing_val(column_type, missing, agg.agg.get_fast_field_names()[0])?
} else {
None
};
let limits = limits.clone();
let agg = AggregationWithAccessor {
segment_ordinal,
missing_value_for_accessor,
@@ -261,7 +250,7 @@ impl AggregationWithAccessor {
)?,
agg: agg.clone(),
str_dict_column: str_dict_column.clone(),
limits,
limits: limits.new_guard(),
column_block_accessor: Default::default(),
};
res.push(agg);
@@ -336,14 +325,7 @@ impl AggregationWithAccessor {
}
}
/// Get the missing value as internal u64 representation
///
/// For terms we use u64::MAX as sentinel value
/// For numerical data we convert the value into the representation
/// we would get from the fast field, when we open it as u64_lenient_for_type.
///
/// That way we can use it the same way as if it would come from the fastfield.
fn get_missing_val_as_u64_lenient(
fn get_missing_val(
column_type: ColumnType,
missing: &Key,
field_name: &str,
@@ -352,18 +334,9 @@ fn get_missing_val_as_u64_lenient(
Key::Str(_) if column_type == ColumnType::Str => Some(u64::MAX),
// Allow fallback to number on text fields
Key::F64(_) if column_type == ColumnType::Str => Some(u64::MAX),
Key::U64(_) if column_type == ColumnType::Str => Some(u64::MAX),
Key::I64(_) if column_type == ColumnType::Str => Some(u64::MAX),
Key::F64(val) if column_type.numerical_type().is_some() => {
f64_to_fastfield_u64(*val, &column_type)
}
// NOTE: We may loose precision of the passed missing value by casting i64 and u64 to f64.
Key::I64(val) if column_type.numerical_type().is_some() => {
f64_to_fastfield_u64(*val as f64, &column_type)
}
Key::U64(val) if column_type.numerical_type().is_some() => {
f64_to_fastfield_u64(*val as f64, &column_type)
}
_ => {
return Err(crate::TantivyError::InvalidArgument(format!(
"Missing value {missing:?} for field {field_name} is not supported for column \
@@ -387,7 +360,7 @@ pub(crate) fn get_aggs_with_segment_accessor_and_validate(
aggs: &Aggregations,
reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: &AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<AggregationsWithAccessor> {
let mut aggss = Vec::new();
for (key, agg) in aggs.iter() {

View File

@@ -1,5 +1,4 @@
//! Contains the final aggregation tree.
//!
//! This tree can be converted via the `into()` method from `IntermediateAggregationResults`.
//! This conversion computes the final result. For example: The intermediate result contains
//! intermediate average results, which is the sum and the number of values. The actual average is
@@ -99,8 +98,6 @@ pub enum MetricResult {
Percentiles(PercentilesMetricResult),
/// Top hits metric result
TopHits(TopHitsMetricResult),
/// Cardinality metric result
Cardinality(SingleMetricResult),
}
impl MetricResult {
@@ -119,7 +116,6 @@ impl MetricResult {
MetricResult::TopHits(_) => Err(TantivyError::AggregationError(
AggregationError::InvalidRequest("top_hits can't be used to order".to_string()),
)),
MetricResult::Cardinality(card) => Ok(card.value),
}
}
}
@@ -188,7 +184,7 @@ pub enum BucketEntries<T> {
}
impl<T> BucketEntries<T> {
fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = &'a T> + 'a> {
fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = &T> + 'a> {
match self {
BucketEntries::Vec(vec) => Box::new(vec.iter()),
BucketEntries::HashMap(map) => Box::new(map.values()),

View File

@@ -5,7 +5,7 @@ use crate::aggregation::agg_result::AggregationResults;
use crate::aggregation::buf_collector::DOC_BLOCK_SIZE;
use crate::aggregation::collector::AggregationCollector;
use crate::aggregation::intermediate_agg_result::IntermediateAggregationResults;
use crate::aggregation::segment_agg_result::AggregationLimitsGuard;
use crate::aggregation::segment_agg_result::AggregationLimits;
use crate::aggregation::tests::{get_test_index_2_segments, get_test_index_from_values_and_terms};
use crate::aggregation::DistributedAggregationCollector;
use crate::query::{AllQuery, TermQuery};
@@ -110,16 +110,6 @@ fn test_aggregation_flushing(
}
}
}
},
"cardinality_string_id":{
"cardinality": {
"field": "string_id"
}
},
"cardinality_score":{
"cardinality": {
"field": "score"
}
}
});
@@ -130,7 +120,7 @@ fn test_aggregation_flushing(
let agg_res: AggregationResults = if use_distributed_collector {
let collector = DistributedAggregationCollector::from_aggs(
agg_req.clone(),
AggregationLimitsGuard::default(),
AggregationLimits::default(),
);
let searcher = reader.searcher();
@@ -146,7 +136,7 @@ fn test_aggregation_flushing(
.expect("Post deserialization failed");
intermediate_agg_result
.into_final_result(agg_req, Default::default())
.into_final_result(agg_req, &Default::default())
.unwrap()
} else {
let collector = get_collector(agg_req);
@@ -222,9 +212,6 @@ fn test_aggregation_flushing(
)
);
assert_eq!(res["cardinality_string_id"]["value"], 2.0);
assert_eq!(res["cardinality_score"]["value"], 80.0);
Ok(())
}
@@ -460,7 +447,7 @@ fn test_aggregation_level2(
let searcher = reader.searcher();
let res = searcher.search(&term_query, &collector).unwrap();
res.into_final_result(agg_req.clone(), Default::default())
res.into_final_result(agg_req.clone(), &Default::default())
.unwrap()
} else {
let collector = get_collector(agg_req.clone());
@@ -870,7 +857,7 @@ fn test_aggregation_on_json_object_mixed_types() {
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
.unwrap();
index_writer.commit().unwrap();
// => Segment with all boolean
// => Segment with all boolen
index_writer
.add_document(doc!(json => json!({"mixed_type": true, "mixed_price": "no_price"})))
.unwrap();
@@ -939,11 +926,11 @@ fn test_aggregation_on_json_object_mixed_types() {
},
"termagg": {
"buckets": [
{ "doc_count": 1, "key": 10, "min_price": { "value": 10.0 } },
{ "doc_count": 1, "key": 10.0, "min_price": { "value": 10.0 } },
{ "doc_count": 3, "key": "blue", "min_price": { "value": 5.0 } },
{ "doc_count": 2, "key": "red", "min_price": { "value": 1.0 } },
{ "doc_count": 1, "key": -20.5, "min_price": { "value": -20.5 } },
{ "doc_count": 2, "key": 1, "key_as_string": "true", "min_price": { "value": null } },
{ "doc_count": 2, "key": 1.0, "key_as_string": "true", "min_price": { "value": null } },
],
"sum_other_doc_count": 0
}
@@ -951,60 +938,3 @@ fn test_aggregation_on_json_object_mixed_types() {
)
);
}
#[test]
fn test_aggregation_on_json_object_mixed_numerical_segments() {
let mut schema_builder = Schema::builder();
let json = schema_builder.add_json_field("json", FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
// => Segment with all values f64 numeric
index_writer
.add_document(doc!(json => json!({"mixed_price": 10.5})))
.unwrap();
// Gets converted to f64!
index_writer
.add_document(doc!(json => json!({"mixed_price": 10})))
.unwrap();
index_writer.commit().unwrap();
// => Segment with all values i64 numeric
index_writer
.add_document(doc!(json => json!({"mixed_price": 10})))
.unwrap();
index_writer.commit().unwrap();
index_writer.commit().unwrap();
// All bucket types
let agg_req_str = r#"
{
"termagg": {
"terms": {
"field": "json.mixed_price"
}
}
} "#;
let agg: Aggregations = serde_json::from_str(agg_req_str).unwrap();
let aggregation_collector = get_collector(agg);
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let aggregation_results = searcher.search(&AllQuery, &aggregation_collector).unwrap();
let aggregation_res_json = serde_json::to_value(aggregation_results).unwrap();
use pretty_assertions::assert_eq;
assert_eq!(
&aggregation_res_json,
&serde_json::json!({
"termagg": {
"buckets": [
{ "doc_count": 2, "key": 10},
{ "doc_count": 1, "key": 10.5},
],
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0
}
}
)
);
}

View File

@@ -244,7 +244,7 @@ fn parse_into_milliseconds(input: &str) -> Result<i64, AggregationError> {
}
#[cfg(test)]
pub(crate) mod tests {
pub mod tests {
use pretty_assertions::assert_eq;
use super::*;

View File

@@ -438,7 +438,7 @@ fn intermediate_buckets_to_final_buckets_fill_gaps(
buckets: Vec<IntermediateHistogramBucketEntry>,
histogram_req: &HistogramAggregation,
sub_aggregation: &Aggregations,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<Vec<BucketEntry>> {
// Generate the full list of buckets without gaps.
//
@@ -496,7 +496,7 @@ pub(crate) fn intermediate_histogram_buckets_to_final_buckets(
is_date_agg: bool,
histogram_req: &HistogramAggregation,
sub_aggregation: &Aggregations,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<Vec<BucketEntry>> {
// Normalization is column type dependent.
// The request used in the the call to final is not yet be normalized.
@@ -750,7 +750,7 @@ mod tests {
agg_req,
&index,
None,
AggregationLimitsGuard::new(Some(5_000), None),
AggregationLimits::new(Some(5_000), None),
)
.unwrap_err();
assert!(res.to_string().starts_with(

View File

@@ -112,64 +112,18 @@ impl Serialize for CustomOrder {
impl<'de> Deserialize<'de> for CustomOrder {
fn deserialize<D>(deserializer: D) -> Result<CustomOrder, D::Error>
where D: Deserializer<'de> {
let value = serde_json::Value::deserialize(deserializer)?;
let return_err = |message, val: serde_json::Value| {
de::Error::custom(format!(
"{}, but got {}",
message,
serde_json::to_string(&val).unwrap()
))
};
match value {
serde_json::Value::Object(map) => {
if map.len() != 1 {
return Err(return_err(
"expected exactly one key-value pair in the order map",
map.into(),
));
}
let (key, value) = map.into_iter().next().unwrap();
let order = serde_json::from_value(value).map_err(de::Error::custom)?;
HashMap::<String, Order>::deserialize(deserializer).and_then(|map| {
if let Some((key, value)) = map.into_iter().next() {
Ok(CustomOrder {
target: key.as_str().into(),
order,
order: value,
})
} else {
Err(de::Error::custom(
"unexpected empty map in order".to_string(),
))
}
serde_json::Value::Array(arr) => {
if arr.is_empty() {
return Err(return_err("unexpected empty array in order", arr.into()));
}
if arr.len() != 1 {
return Err(return_err(
"only one sort order supported currently",
arr.into(),
));
}
let entry = arr.into_iter().next().unwrap();
let map = entry
.as_object()
.ok_or_else(|| return_err("expected object as sort order", entry.clone()))?;
let (key, value) = map.into_iter().next().ok_or_else(|| {
return_err(
"expected exactly one key-value pair in the order map",
entry.clone(),
)
})?;
let order = serde_json::from_value(value.clone()).map_err(de::Error::custom)?;
Ok(CustomOrder {
target: key.as_str().into(),
order,
})
}
_ => Err(return_err(
"unexpected type, expected an object or array",
value,
)),
}
})
}
}
@@ -184,23 +138,11 @@ fn custom_order_serde_test() {
assert_eq!(order_str, "{\"_key\":\"desc\"}");
let order_deser = serde_json::from_str(&order_str).unwrap();
assert_eq!(order, order_deser);
let order_deser: CustomOrder = serde_json::from_str("[{\"_key\":\"desc\"}]").unwrap();
assert_eq!(order, order_deser);
let order_deser: serde_json::Result<CustomOrder> = serde_json::from_str("{}");
assert!(order_deser.is_err());
let order_deser: serde_json::Result<CustomOrder> = serde_json::from_str("[]");
assert!(order_deser
.unwrap_err()
.to_string()
.contains("unexpected empty array in order"));
let order_deser: serde_json::Result<CustomOrder> =
serde_json::from_str(r#"[{"_key":"desc"},{"_key":"desc"}]"#);
assert_eq!(
order_deser.unwrap_err().to_string(),
r#"only one sort order supported currently, but got [{"_key":"desc"},{"_key":"desc"}]"#
);
assert!(order_deser.is_err());
}

View File

@@ -4,6 +4,7 @@ use std::ops::Range;
use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize};
use crate::aggregation::agg_limits::ResourceLimitGuard;
use crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor;
use crate::aggregation::intermediate_agg_result::{
IntermediateAggregationResult, IntermediateAggregationResults, IntermediateBucketResult,
@@ -16,7 +17,6 @@ use crate::aggregation::*;
use crate::TantivyError;
/// Provide user-defined buckets to aggregate on.
///
/// Two special buckets will automatically be created to cover the whole range of values.
/// The provided buckets have to be continuous.
/// During the aggregation, the values extracted from the fast_field `field` will be checked
@@ -270,7 +270,7 @@ impl SegmentRangeCollector {
pub(crate) fn from_req_and_validate(
req: &RangeAggregation,
sub_aggregation: &mut AggregationsWithAccessor,
limits: &mut AggregationLimitsGuard,
limits: &ResourceLimitGuard,
field_type: ColumnType,
accessor_idx: usize,
) -> crate::Result<Self> {
@@ -471,7 +471,7 @@ mod tests {
SegmentRangeCollector::from_req_and_validate(
&req,
&mut Default::default(),
&mut AggregationLimitsGuard::default(),
&AggregationLimits::default().new_guard(),
field_type,
0,
)

View File

@@ -1,10 +1,9 @@
use std::fmt::Debug;
use std::io;
use std::net::Ipv6Addr;
use columnar::column_values::CompactSpaceU64Accessor;
use columnar::{
ColumnType, Dictionary, MonotonicallyMappableToU128, MonotonicallyMappableToU64, NumericalValue,
BytesColumn, ColumnType, MonotonicallyMappableToU128, MonotonicallyMappableToU64, StrColumn,
};
use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize};
@@ -21,11 +20,11 @@ use crate::aggregation::intermediate_agg_result::{
use crate::aggregation::segment_agg_result::{
build_segment_agg_collector, SegmentAggregationCollector,
};
use crate::aggregation::{format_date, Key};
use crate::aggregation::{f64_from_fastfield_u64, format_date, Key};
use crate::error::DataCorruption;
use crate::TantivyError;
/// Creates a bucket for every unique term and counts the number of occurrences.
/// Creates a bucket for every unique term and counts the number of occurences.
/// Note that doc_count in the response buckets equals term count here.
///
/// If the text is untokenized and single value, that means one term per document and therefore it
@@ -158,7 +157,7 @@ pub struct TermsAggregation {
/// when loading the text.
/// Special Case 1:
/// If we have multiple columns on one field, we need to have a union on the indices on both
/// columns, to find docids without a value. That requires a special missing aggregation.
/// columns, to find docids without a value. That requires a special missing aggreggation.
/// Special Case 2: if the key is of type text and the column is numerical, we also need to use
/// the special missing aggregation, since there is no mechanism in the numerical column to
/// add text.
@@ -364,7 +363,7 @@ impl SegmentTermCollector {
let term_buckets = TermBuckets::default();
if let Some(custom_order) = req.order.as_ref() {
// Validate sub aggregation exists
// Validate sub aggregtion exists
if let OrderTarget::SubAggregation(sub_agg_name) = &custom_order.target {
let (agg_name, _agg_property) = get_agg_name_and_property(sub_agg_name);
@@ -467,72 +466,49 @@ impl SegmentTermCollector {
};
if self.column_type == ColumnType::Str {
let fallback_dict = Dictionary::empty();
let term_dict = agg_with_accessor
.str_dict_column
.as_ref()
.map(|el| el.dictionary())
.unwrap_or_else(|| &fallback_dict);
let mut buffer = Vec::new();
// special case for missing key
if let Some(index) = entries.iter().position(|value| value.0 == u64::MAX) {
let entry = entries[index];
let intermediate_entry = into_intermediate_bucket_entry(entry.0, entry.1)?;
let missing_key = self
.req
.missing
.as_ref()
.expect("Found placeholder term_id but `missing` is None");
match missing_key {
Key::Str(missing) => {
buffer.clear();
buffer.extend_from_slice(missing.as_bytes());
dict.insert(
IntermediateKey::Str(
String::from_utf8(buffer.to_vec())
.expect("could not convert to String"),
),
intermediate_entry,
);
.cloned()
.unwrap_or_else(|| {
StrColumn::wrap(BytesColumn::empty(agg_with_accessor.accessor.num_docs()))
});
let mut buffer = String::new();
for (term_id, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(term_id, doc_count)?;
// Special case for missing key
if term_id == u64::MAX {
let missing_key = self
.req
.missing
.as_ref()
.expect("Found placeholder term_id but `missing` is None");
match missing_key {
Key::Str(missing) => {
buffer.clear();
buffer.push_str(missing);
dict.insert(
IntermediateKey::Str(buffer.to_string()),
intermediate_entry,
);
}
Key::F64(val) => {
buffer.push_str(&val.to_string());
dict.insert(IntermediateKey::F64(*val), intermediate_entry);
}
}
Key::F64(val) => {
dict.insert(IntermediateKey::F64(*val), intermediate_entry);
}
Key::U64(val) => {
dict.insert(IntermediateKey::U64(*val), intermediate_entry);
}
Key::I64(val) => {
dict.insert(IntermediateKey::I64(*val), intermediate_entry);
} else {
if !term_dict.ord_to_str(term_id, &mut buffer)? {
return Err(TantivyError::InternalError(format!(
"Couldn't find term_id {term_id} in dict"
)));
}
dict.insert(IntermediateKey::Str(buffer.to_string()), intermediate_entry);
}
entries.swap_remove(index);
}
// Sort by term ord
entries.sort_unstable_by_key(|bucket| bucket.0);
let mut idx = 0;
term_dict.sorted_ords_to_term_cb(
entries.iter().map(|(term_id, _)| *term_id),
|term| {
let entry = entries[idx];
let intermediate_entry = into_intermediate_bucket_entry(entry.0, entry.1)
.map_err(|err| io::Error::new(io::ErrorKind::Other, err))?;
dict.insert(
IntermediateKey::Str(
String::from_utf8(term.to_vec()).expect("could not convert to String"),
),
intermediate_entry,
);
idx += 1;
Ok(())
},
)?;
if self.req.min_doc_count == 0 {
// TODO: Handle rev streaming for descending sorting by keys
let mut stream = term_dict.stream()?;
let mut stream = term_dict.dictionary().stream()?;
let empty_sub_aggregation = IntermediateAggregationResults::empty_from_req(
agg_with_accessor.agg.sub_aggregation(),
);
@@ -591,26 +567,8 @@ impl SegmentTermCollector {
} else {
for (val, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
if self.column_type == ColumnType::U64 {
dict.insert(IntermediateKey::U64(val), intermediate_entry);
} else if self.column_type == ColumnType::I64 {
dict.insert(IntermediateKey::I64(i64::from_u64(val)), intermediate_entry);
} else {
let val = f64::from_u64(val);
let val: NumericalValue = val.into();
match val.normalize() {
NumericalValue::U64(val) => {
dict.insert(IntermediateKey::U64(val), intermediate_entry);
}
NumericalValue::I64(val) => {
dict.insert(IntermediateKey::I64(val), intermediate_entry);
}
NumericalValue::F64(val) => {
dict.insert(IntermediateKey::F64(val), intermediate_entry);
}
}
};
let val = f64_from_fastfield_u64(val, &self.column_type);
dict.insert(IntermediateKey::F64(val), intermediate_entry);
}
};
@@ -669,7 +627,7 @@ mod tests {
exec_request, exec_request_with_query, exec_request_with_query_and_memory_limit,
get_test_index_from_terms, get_test_index_from_values_and_terms,
};
use crate::aggregation::AggregationLimitsGuard;
use crate::aggregation::AggregationLimits;
use crate::indexer::NoMergePolicy;
use crate::schema::{IntoIpv6Addr, Schema, FAST, STRING};
use crate::{Index, IndexWriter};
@@ -1232,8 +1190,8 @@ mod tests {
#[test]
fn terms_aggregation_min_doc_count_special_case() -> crate::Result<()> {
let terms_per_segment = vec![
vec!["terma", "terma", "termb", "termb", "termb"],
vec!["terma", "terma", "termb"],
vec!["terma", "terma", "termb", "termb", "termb", "termc"],
vec!["terma", "terma", "termb", "termc", "termc"],
];
let index = get_test_index_from_terms(false, &terms_per_segment)?;
@@ -1255,6 +1213,8 @@ mod tests {
assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 4);
assert_eq!(res["my_texts"]["buckets"][1]["key"], "termb");
assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 0);
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termc");
assert_eq!(res["my_texts"]["buckets"][2]["doc_count"], 0);
assert_eq!(res["my_texts"]["sum_other_doc_count"], 0);
assert_eq!(res["my_texts"]["doc_count_error_upper_bound"], 0);
@@ -1422,7 +1382,7 @@ mod tests {
agg_req,
&index,
None,
AggregationLimitsGuard::new(Some(50_000), None),
AggregationLimits::new(Some(50_000), None),
)
.unwrap_err();
assert!(res
@@ -1683,7 +1643,7 @@ mod tests {
res["my_texts"]["buckets"][2]["key"],
serde_json::Value::Null
);
// text field with number as missing fallback
// text field with numner as missing fallback
assert_eq!(res["my_texts2"]["buckets"][0]["key"], "Hello Hello");
assert_eq!(res["my_texts2"]["buckets"][0]["doc_count"], 5);
assert_eq!(res["my_texts2"]["buckets"][1]["key"], 1337.0);
@@ -1743,54 +1703,6 @@ mod tests {
Ok(())
}
#[test]
fn terms_aggregation_u64_value() -> crate::Result<()> {
// Make sure that large u64 are not truncated
let mut schema_builder = Schema::builder();
let id_field = schema_builder.add_u64_field("id", FAST);
let index = Index::create_in_ram(schema_builder.build());
{
let mut index_writer = index.writer_with_num_threads(1, 20_000_000)?;
index_writer.set_merge_policy(Box::new(NoMergePolicy));
index_writer.add_document(doc!(
id_field => 9_223_372_036_854_775_807u64,
))?;
index_writer.add_document(doc!(
id_field => 1_769_070_189_829_214_202u64,
))?;
index_writer.add_document(doc!(
id_field => 1_769_070_189_829_214_202u64,
))?;
index_writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"my_ids": {
"terms": {
"field": "id"
},
}
}))
.unwrap();
let res = exec_request_with_query(agg_req, &index, None)?;
// id field
assert_eq!(
res["my_ids"]["buckets"][0]["key"],
1_769_070_189_829_214_202u64
);
assert_eq!(res["my_ids"]["buckets"][0]["doc_count"], 2);
assert_eq!(
res["my_ids"]["buckets"][1]["key"],
9_223_372_036_854_775_807u64
);
assert_eq!(res["my_ids"]["buckets"][1]["doc_count"], 1);
assert_eq!(res["my_ids"]["buckets"][2]["key"], serde_json::Value::Null);
Ok(())
}
#[test]
fn terms_aggregation_missing1() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
@@ -1857,7 +1769,7 @@ mod tests {
res["my_texts"]["buckets"][2]["key"],
serde_json::Value::Null
);
// text field with number as missing fallback
// text field with numner as missing fallback
assert_eq!(res["my_texts2"]["buckets"][0]["key"], "Hello Hello");
assert_eq!(res["my_texts2"]["buckets"][0]["doc_count"], 4);
assert_eq!(res["my_texts2"]["buckets"][1]["key"], 1337.0);

View File

@@ -70,6 +70,7 @@ impl SegmentAggregationCollector for TermMissingAgg {
)?;
missing_entry.sub_aggregation = res;
}
entries.insert(missing.into(), missing_entry);
let bucket = IntermediateBucketResult::Terms {

View File

@@ -4,7 +4,7 @@ use super::agg_result::AggregationResults;
use super::buf_collector::BufAggregationCollector;
use super::intermediate_agg_result::IntermediateAggregationResults;
use super::segment_agg_result::{
build_segment_agg_collector, AggregationLimitsGuard, SegmentAggregationCollector,
build_segment_agg_collector, AggregationLimits, SegmentAggregationCollector,
};
use crate::aggregation::agg_req_with_accessor::get_aggs_with_segment_accessor_and_validate;
use crate::collector::{Collector, SegmentCollector};
@@ -22,7 +22,7 @@ pub const DEFAULT_MEMORY_LIMIT: u64 = 500_000_000;
/// The collector collects all aggregations by the underlying aggregation request.
pub struct AggregationCollector {
agg: Aggregations,
limits: AggregationLimitsGuard,
limits: AggregationLimits,
}
impl AggregationCollector {
@@ -30,7 +30,7 @@ impl AggregationCollector {
///
/// Aggregation fails when the limits in `AggregationLimits` is exceeded. (memory limit and
/// bucket limit)
pub fn from_aggs(agg: Aggregations, limits: AggregationLimitsGuard) -> Self {
pub fn from_aggs(agg: Aggregations, limits: AggregationLimits) -> Self {
Self { agg, limits }
}
}
@@ -45,7 +45,7 @@ impl AggregationCollector {
/// into the final `AggregationResults` via the `into_final_result()` method.
pub struct DistributedAggregationCollector {
agg: Aggregations,
limits: AggregationLimitsGuard,
limits: AggregationLimits,
}
impl DistributedAggregationCollector {
@@ -53,7 +53,7 @@ impl DistributedAggregationCollector {
///
/// Aggregation fails when the limits in `AggregationLimits` is exceeded. (memory limit and
/// bucket limit)
pub fn from_aggs(agg: Aggregations, limits: AggregationLimitsGuard) -> Self {
pub fn from_aggs(agg: Aggregations, limits: AggregationLimits) -> Self {
Self { agg, limits }
}
}
@@ -115,7 +115,7 @@ impl Collector for AggregationCollector {
segment_fruits: Vec<<Self::Child as SegmentCollector>::Fruit>,
) -> crate::Result<Self::Fruit> {
let res = merge_fruits(segment_fruits)?;
res.into_final_result(self.agg.clone(), self.limits.clone())
res.into_final_result(self.agg.clone(), &self.limits)
}
}
@@ -147,7 +147,7 @@ impl AggregationSegmentCollector {
agg: &Aggregations,
reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: &AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<Self> {
let mut aggs_with_accessor =
get_aggs_with_segment_accessor_and_validate(agg, reader, segment_ordinal, limits)?;

View File

@@ -22,11 +22,10 @@ use super::metric::{
IntermediateAverage, IntermediateCount, IntermediateExtendedStats, IntermediateMax,
IntermediateMin, IntermediateStats, IntermediateSum, PercentilesCollector, TopHitsTopNComputer,
};
use super::segment_agg_result::AggregationLimitsGuard;
use super::segment_agg_result::AggregationLimits;
use super::{format_date, AggregationError, Key, SerializedKey};
use crate::aggregation::agg_result::{AggregationResults, BucketEntries, BucketEntry};
use crate::aggregation::bucket::TermsAggregationInternal;
use crate::aggregation::metric::CardinalityCollector;
use crate::TantivyError;
/// Contains the intermediate aggregation result, which is optimized to be merged with other
@@ -51,18 +50,12 @@ pub enum IntermediateKey {
Str(String),
/// `f64` key
F64(f64),
/// `i64` key
I64(i64),
/// `u64` key
U64(u64),
}
impl From<Key> for IntermediateKey {
fn from(value: Key) -> Self {
match value {
Key::Str(s) => Self::Str(s),
Key::F64(f) => Self::F64(f),
Key::U64(f) => Self::U64(f),
Key::I64(f) => Self::I64(f),
}
}
}
@@ -79,9 +72,7 @@ impl From<IntermediateKey> for Key {
}
}
IntermediateKey::F64(f) => Self::F64(f),
IntermediateKey::Bool(f) => Self::U64(f as u64),
IntermediateKey::U64(f) => Self::U64(f),
IntermediateKey::I64(f) => Self::I64(f),
IntermediateKey::Bool(f) => Self::F64(f as u64 as f64),
}
}
}
@@ -94,8 +85,6 @@ impl std::hash::Hash for IntermediateKey {
match self {
IntermediateKey::Str(text) => text.hash(state),
IntermediateKey::F64(val) => val.to_bits().hash(state),
IntermediateKey::U64(val) => val.hash(state),
IntermediateKey::I64(val) => val.hash(state),
IntermediateKey::Bool(val) => val.hash(state),
IntermediateKey::IpAddr(val) => val.hash(state),
}
@@ -122,9 +111,9 @@ impl IntermediateAggregationResults {
pub fn into_final_result(
self,
req: Aggregations,
mut limits: AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<AggregationResults> {
let res = self.into_final_result_internal(&req, &mut limits)?;
let res = self.into_final_result_internal(&req, limits)?;
let bucket_count = res.get_bucket_count() as u32;
if bucket_count > limits.get_bucket_limit() {
return Err(TantivyError::AggregationError(
@@ -141,7 +130,7 @@ impl IntermediateAggregationResults {
pub(crate) fn into_final_result_internal(
self,
req: &Aggregations,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<AggregationResults> {
let mut results: FxHashMap<String, AggregationResult> = FxHashMap::default();
for (key, agg_res) in self.aggs_res.into_iter() {
@@ -238,9 +227,6 @@ pub(crate) fn empty_from_req(req: &Aggregation) -> IntermediateAggregationResult
TopHits(ref req) => IntermediateAggregationResult::Metric(
IntermediateMetricResult::TopHits(TopHitsTopNComputer::new(req)),
),
Cardinality(_) => IntermediateAggregationResult::Metric(
IntermediateMetricResult::Cardinality(CardinalityCollector::default()),
),
}
}
@@ -257,7 +243,7 @@ impl IntermediateAggregationResult {
pub(crate) fn into_final_result(
self,
req: &Aggregation,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<AggregationResult> {
let res = match self {
IntermediateAggregationResult::Bucket(bucket) => {
@@ -305,8 +291,6 @@ pub enum IntermediateMetricResult {
Sum(IntermediateSum),
/// Intermediate top_hits result
TopHits(TopHitsTopNComputer),
/// Intermediate cardinality result
Cardinality(CardinalityCollector),
}
impl IntermediateMetricResult {
@@ -340,9 +324,6 @@ impl IntermediateMetricResult {
IntermediateMetricResult::TopHits(top_hits) => {
MetricResult::TopHits(top_hits.into_final_result())
}
IntermediateMetricResult::Cardinality(cardinality) => {
MetricResult::Cardinality(cardinality.finalize().into())
}
}
}
@@ -391,12 +372,6 @@ impl IntermediateMetricResult {
(IntermediateMetricResult::TopHits(left), IntermediateMetricResult::TopHits(right)) => {
left.merge_fruits(right)?;
}
(
IntermediateMetricResult::Cardinality(left),
IntermediateMetricResult::Cardinality(right),
) => {
left.merge_fruits(right)?;
}
_ => {
panic!("incompatible fruit types in tree or missing merge_fruits handler");
}
@@ -432,7 +407,7 @@ impl IntermediateBucketResult {
pub(crate) fn into_final_bucket_result(
self,
req: &Aggregation,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<BucketResult> {
match self {
IntermediateBucketResult::Range(range_res) => {
@@ -596,7 +571,7 @@ impl IntermediateTermBucketResult {
self,
req: &TermsAggregation,
sub_aggregation_req: &Aggregations,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<BucketResult> {
let req = TermsAggregationInternal::from_req(req);
let mut buckets: Vec<BucketEntry> = self
@@ -723,7 +698,7 @@ impl IntermediateHistogramBucketEntry {
pub(crate) fn into_final_bucket_entry(
self,
req: &Aggregations,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<BucketEntry> {
Ok(BucketEntry {
key_as_string: None,
@@ -758,7 +733,7 @@ impl IntermediateRangeBucketEntry {
req: &Aggregations,
_range_req: &RangeAggregation,
column_type: Option<ColumnType>,
limits: &mut AggregationLimitsGuard,
limits: &AggregationLimits,
) -> crate::Result<RangeBucketEntry> {
let mut range_bucket_entry = RangeBucketEntry {
key: self.key.into(),
@@ -860,7 +835,7 @@ mod tests {
}
}
fn get_intermediate_tree_with_ranges(
fn get_intermediat_tree_with_ranges(
data: &[(String, u64, String, u64)],
) -> IntermediateAggregationResults {
let mut map = HashMap::new();
@@ -896,18 +871,18 @@ mod tests {
#[test]
fn test_merge_fruits_tree_1() {
let mut tree_left = get_intermediate_tree_with_ranges(&[
let mut tree_left = get_intermediat_tree_with_ranges(&[
("red".to_string(), 50, "1900".to_string(), 25),
("blue".to_string(), 30, "1900".to_string(), 30),
]);
let tree_right = get_intermediate_tree_with_ranges(&[
let tree_right = get_intermediat_tree_with_ranges(&[
("red".to_string(), 60, "1900".to_string(), 30),
("blue".to_string(), 25, "1900".to_string(), 50),
]);
tree_left.merge_fruits(tree_right).unwrap();
let tree_expected = get_intermediate_tree_with_ranges(&[
let tree_expected = get_intermediat_tree_with_ranges(&[
("red".to_string(), 110, "1900".to_string(), 55),
("blue".to_string(), 55, "1900".to_string(), 80),
]);
@@ -917,18 +892,18 @@ mod tests {
#[test]
fn test_merge_fruits_tree_2() {
let mut tree_left = get_intermediate_tree_with_ranges(&[
let mut tree_left = get_intermediat_tree_with_ranges(&[
("red".to_string(), 50, "1900".to_string(), 25),
("blue".to_string(), 30, "1900".to_string(), 30),
]);
let tree_right = get_intermediate_tree_with_ranges(&[
let tree_right = get_intermediat_tree_with_ranges(&[
("red".to_string(), 60, "1900".to_string(), 30),
("green".to_string(), 25, "1900".to_string(), 50),
]);
tree_left.merge_fruits(tree_right).unwrap();
let tree_expected = get_intermediate_tree_with_ranges(&[
let tree_expected = get_intermediat_tree_with_ranges(&[
("red".to_string(), 110, "1900".to_string(), 55),
("blue".to_string(), 30, "1900".to_string(), 30),
("green".to_string(), 25, "1900".to_string(), 50),
@@ -939,7 +914,7 @@ mod tests {
#[test]
fn test_merge_fruits_tree_empty() {
let mut tree_left = get_intermediate_tree_with_ranges(&[
let mut tree_left = get_intermediat_tree_with_ranges(&[
("red".to_string(), 50, "1900".to_string(), 25),
("blue".to_string(), 30, "1900".to_string(), 30),
]);

View File

@@ -1,473 +0,0 @@
use std::collections::hash_map::DefaultHasher;
use std::hash::{BuildHasher, Hasher};
use columnar::column_values::CompactSpaceU64Accessor;
use columnar::Dictionary;
use common::f64_to_u64;
use hyperloglogplus::{HyperLogLog, HyperLogLogPlus};
use rustc_hash::FxHashSet;
use serde::{Deserialize, Serialize};
use crate::aggregation::agg_req_with_accessor::{
AggregationWithAccessor, AggregationsWithAccessor,
};
use crate::aggregation::intermediate_agg_result::{
IntermediateAggregationResult, IntermediateAggregationResults, IntermediateMetricResult,
};
use crate::aggregation::segment_agg_result::SegmentAggregationCollector;
use crate::aggregation::*;
use crate::TantivyError;
#[derive(Clone, Debug, Serialize, Deserialize)]
struct BuildSaltedHasher {
salt: u8,
}
impl BuildHasher for BuildSaltedHasher {
type Hasher = DefaultHasher;
fn build_hasher(&self) -> Self::Hasher {
let mut hasher = DefaultHasher::new();
hasher.write_u8(self.salt);
hasher
}
}
/// # Cardinality
///
/// The cardinality aggregation allows for computing an estimate
/// of the number of different values in a data set based on the
/// HyperLogLog++ algorithm. This is particularly useful for understanding the
/// uniqueness of values in a large dataset where counting each unique value
/// individually would be computationally expensive.
///
/// For example, you might use a cardinality aggregation to estimate the number
/// of unique visitors to a website by aggregating on a field that contains
/// user IDs or session IDs.
///
/// To use the cardinality aggregation, you'll need to provide a field to
/// aggregate on. The following example demonstrates a request for the cardinality
/// of the "user_id" field:
///
/// ```JSON
/// {
/// "cardinality": {
/// "field": "user_id"
/// }
/// }
/// ```
///
/// This request will return an estimate of the number of unique values in the
/// "user_id" field.
///
/// ## Missing Values
///
/// The `missing` parameter defines how documents that are missing a value should be treated.
/// By default, documents without a value for the specified field are ignored. However, you can
/// specify a default value for these documents using the `missing` parameter. This can be useful
/// when you want to include documents with missing values in the aggregation.
///
/// For example, the following request treats documents with missing values in the "user_id"
/// field as if they had a value of "unknown":
///
/// ```JSON
/// {
/// "cardinality": {
/// "field": "user_id",
/// "missing": "unknown"
/// }
/// }
/// ```
///
/// # Estimation Accuracy
///
/// The cardinality aggregation provides an approximate count, which is usually
/// accurate within a small error range. This trade-off allows for efficient
/// computation even on very large datasets.
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
pub struct CardinalityAggregationReq {
/// The field name to compute the percentiles on.
pub field: String,
/// The missing parameter defines how documents that are missing a value should be treated.
/// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" }
#[serde(skip_serializing_if = "Option::is_none", default)]
pub missing: Option<Key>,
}
impl CardinalityAggregationReq {
/// Creates a new [`CardinalityAggregationReq`] instance from a field name.
pub fn from_field_name(field_name: String) -> Self {
Self {
field: field_name,
missing: None,
}
}
/// Returns the field name the aggregation is computed on.
pub fn field_name(&self) -> &str {
&self.field
}
}
#[derive(Clone, Debug, PartialEq)]
pub(crate) struct SegmentCardinalityCollector {
cardinality: CardinalityCollector,
entries: FxHashSet<u64>,
column_type: ColumnType,
accessor_idx: usize,
missing: Option<Key>,
}
impl SegmentCardinalityCollector {
pub fn from_req(column_type: ColumnType, accessor_idx: usize, missing: &Option<Key>) -> Self {
Self {
cardinality: CardinalityCollector::new(column_type as u8),
entries: Default::default(),
column_type,
accessor_idx,
missing: missing.clone(),
}
}
fn fetch_block_with_field(
&mut self,
docs: &[crate::DocId],
agg_accessor: &mut AggregationWithAccessor,
) {
if let Some(missing) = agg_accessor.missing_value_for_accessor {
agg_accessor.column_block_accessor.fetch_block_with_missing(
docs,
&agg_accessor.accessor,
missing,
);
} else {
agg_accessor
.column_block_accessor
.fetch_block(docs, &agg_accessor.accessor);
}
}
fn into_intermediate_metric_result(
mut self,
agg_with_accessor: &AggregationWithAccessor,
) -> crate::Result<IntermediateMetricResult> {
if self.column_type == ColumnType::Str {
let fallback_dict = Dictionary::empty();
let dict = agg_with_accessor
.str_dict_column
.as_ref()
.map(|el| el.dictionary())
.unwrap_or_else(|| &fallback_dict);
let mut has_missing = false;
// TODO: replace FxHashSet with something that allows iterating in order
// (e.g. sparse bitvec)
let mut term_ids = Vec::new();
for term_ord in self.entries.into_iter() {
if term_ord == u64::MAX {
has_missing = true;
} else {
// we can reasonably exclude values above u32::MAX
term_ids.push(term_ord as u32);
}
}
term_ids.sort_unstable();
dict.sorted_ords_to_term_cb(term_ids.iter().map(|term| *term as u64), |term| {
self.cardinality.sketch.insert_any(&term);
Ok(())
})?;
if has_missing {
// Replace missing with the actual value provided
let missing_key = self
.missing
.as_ref()
.expect("Found sentinel value u64::MAX for term_ord but `missing` is not set");
match missing_key {
Key::Str(missing) => {
self.cardinality.sketch.insert_any(&missing);
}
Key::F64(val) => {
let val = f64_to_u64(*val);
self.cardinality.sketch.insert_any(&val);
}
Key::U64(val) => {
self.cardinality.sketch.insert_any(&val);
}
Key::I64(val) => {
self.cardinality.sketch.insert_any(&val);
}
}
}
}
Ok(IntermediateMetricResult::Cardinality(self.cardinality))
}
}
impl SegmentAggregationCollector for SegmentCardinalityCollector {
fn add_intermediate_aggregation_result(
self: Box<Self>,
agg_with_accessor: &AggregationsWithAccessor,
results: &mut IntermediateAggregationResults,
) -> crate::Result<()> {
let name = agg_with_accessor.aggs.keys[self.accessor_idx].to_string();
let agg_with_accessor = &agg_with_accessor.aggs.values[self.accessor_idx];
let intermediate_result = self.into_intermediate_metric_result(agg_with_accessor)?;
results.push(
name,
IntermediateAggregationResult::Metric(intermediate_result),
)?;
Ok(())
}
fn collect(
&mut self,
doc: crate::DocId,
agg_with_accessor: &mut AggregationsWithAccessor,
) -> crate::Result<()> {
self.collect_block(&[doc], agg_with_accessor)
}
fn collect_block(
&mut self,
docs: &[crate::DocId],
agg_with_accessor: &mut AggregationsWithAccessor,
) -> crate::Result<()> {
let bucket_agg_accessor = &mut agg_with_accessor.aggs.values[self.accessor_idx];
self.fetch_block_with_field(docs, bucket_agg_accessor);
let col_block_accessor = &bucket_agg_accessor.column_block_accessor;
if self.column_type == ColumnType::Str {
for term_ord in col_block_accessor.iter_vals() {
self.entries.insert(term_ord);
}
} else if self.column_type == ColumnType::IpAddr {
let compact_space_accessor = bucket_agg_accessor
.accessor
.values
.clone()
.downcast_arc::<CompactSpaceU64Accessor>()
.map_err(|_| {
TantivyError::AggregationError(
crate::aggregation::AggregationError::InternalError(
"Type mismatch: Could not downcast to CompactSpaceU64Accessor"
.to_string(),
),
)
})?;
for val in col_block_accessor.iter_vals() {
let val: u128 = compact_space_accessor.compact_to_u128(val as u32);
self.cardinality.sketch.insert_any(&val);
}
} else {
for val in col_block_accessor.iter_vals() {
self.cardinality.sketch.insert_any(&val);
}
}
Ok(())
}
}
#[derive(Clone, Debug, Serialize, Deserialize)]
/// The percentiles collector used during segment collection and for merging results.
pub struct CardinalityCollector {
sketch: HyperLogLogPlus<u64, BuildSaltedHasher>,
}
impl Default for CardinalityCollector {
fn default() -> Self {
Self::new(0)
}
}
impl PartialEq for CardinalityCollector {
fn eq(&self, _other: &Self) -> bool {
false
}
}
impl CardinalityCollector {
/// Compute the final cardinality estimate.
pub fn finalize(self) -> Option<f64> {
Some(self.sketch.clone().count().trunc())
}
fn new(salt: u8) -> Self {
Self {
sketch: HyperLogLogPlus::new(16, BuildSaltedHasher { salt }).unwrap(),
}
}
pub(crate) fn merge_fruits(&mut self, right: CardinalityCollector) -> crate::Result<()> {
self.sketch.merge(&right.sketch).map_err(|err| {
TantivyError::AggregationError(AggregationError::InternalError(format!(
"Error while merging cardinality {err:?}"
)))
})?;
Ok(())
}
}
#[cfg(test)]
mod tests {
use std::net::IpAddr;
use std::str::FromStr;
use columnar::MonotonicallyMappableToU64;
use crate::aggregation::agg_req::Aggregations;
use crate::aggregation::tests::{exec_request, get_test_index_from_terms};
use crate::schema::{IntoIpv6Addr, Schema, FAST};
use crate::Index;
#[test]
fn cardinality_aggregation_test_empty_index() -> crate::Result<()> {
let values = vec![];
let index = get_test_index_from_terms(false, &values)?;
let agg_req: Aggregations = serde_json::from_value(json!({
"cardinality": {
"cardinality": {
"field": "string_id",
}
},
}))
.unwrap();
let res = exec_request(agg_req, &index)?;
assert_eq!(res["cardinality"]["value"], 0.0);
Ok(())
}
#[test]
fn cardinality_aggregation_test_single_segment() -> crate::Result<()> {
cardinality_aggregation_test_merge_segment(true)
}
#[test]
fn cardinality_aggregation_test() -> crate::Result<()> {
cardinality_aggregation_test_merge_segment(false)
}
fn cardinality_aggregation_test_merge_segment(merge_segments: bool) -> crate::Result<()> {
let segment_and_terms = vec![
vec!["terma"],
vec!["termb"],
vec!["termc"],
vec!["terma"],
vec!["terma"],
vec!["terma"],
vec!["termb"],
vec!["terma"],
];
let index = get_test_index_from_terms(merge_segments, &segment_and_terms)?;
let agg_req: Aggregations = serde_json::from_value(json!({
"cardinality": {
"cardinality": {
"field": "string_id",
}
},
}))
.unwrap();
let res = exec_request(agg_req, &index)?;
assert_eq!(res["cardinality"]["value"], 3.0);
Ok(())
}
#[test]
fn cardinality_aggregation_u64() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let id_field = schema_builder.add_u64_field("id", FAST);
let index = Index::create_in_ram(schema_builder.build());
{
let mut writer = index.writer_for_tests()?;
writer.add_document(doc!(id_field => 1u64))?;
writer.add_document(doc!(id_field => 2u64))?;
writer.add_document(doc!(id_field => 3u64))?;
writer.add_document(doc!())?;
writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"cardinality": {
"cardinality": {
"field": "id",
"missing": 0u64
},
}
}))
.unwrap();
let res = exec_request(agg_req, &index)?;
assert_eq!(res["cardinality"]["value"], 4.0);
Ok(())
}
#[test]
fn cardinality_aggregation_ip_addr() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let field = schema_builder.add_ip_addr_field("ip_field", FAST);
let index = Index::create_in_ram(schema_builder.build());
{
let mut writer = index.writer_for_tests()?;
// IpV6 loopback
writer.add_document(doc!(field=>IpAddr::from_str("::1").unwrap().into_ipv6_addr()))?;
writer.add_document(doc!(field=>IpAddr::from_str("::1").unwrap().into_ipv6_addr()))?;
// IpV4
writer.add_document(
doc!(field=>IpAddr::from_str("127.0.0.1").unwrap().into_ipv6_addr()),
)?;
writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"cardinality": {
"cardinality": {
"field": "ip_field"
},
}
}))
.unwrap();
let res = exec_request(agg_req, &index)?;
assert_eq!(res["cardinality"]["value"], 2.0);
Ok(())
}
#[test]
fn cardinality_aggregation_json() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let field = schema_builder.add_json_field("json", FAST);
let index = Index::create_in_ram(schema_builder.build());
{
let mut writer = index.writer_for_tests()?;
writer.add_document(doc!(field => json!({"value": false})))?;
writer.add_document(doc!(field => json!({"value": true})))?;
writer.add_document(doc!(field => json!({"value": i64::from_u64(0u64)})))?;
writer.add_document(doc!(field => json!({"value": i64::from_u64(1u64)})))?;
writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"cardinality": {
"cardinality": {
"field": "json.value"
},
}
}))
.unwrap();
let res = exec_request(agg_req, &index)?;
assert_eq!(res["cardinality"]["value"], 4.0);
Ok(())
}
}

View File

@@ -17,7 +17,6 @@
//! - [Percentiles](PercentilesAggregationReq)
mod average;
mod cardinality;
mod count;
mod extended_stats;
mod max;
@@ -30,7 +29,6 @@ mod top_hits;
use std::collections::HashMap;
pub use average::*;
pub use cardinality::*;
pub use count::*;
pub use extended_stats::*;
pub use max::*;

View File

@@ -163,8 +163,8 @@ impl PartialEq for PercentilesCollector {
}
}
fn format_percentile(percentile: f64) -> String {
let mut out = percentile.to_string();
fn format_percentil(percentil: f64) -> String {
let mut out = percentil.to_string();
// Slightly silly way to format trailing decimals
if !out.contains('.') {
out.push_str(".0");
@@ -197,7 +197,7 @@ impl PercentilesCollector {
let values = if req.keyed {
PercentileValues::HashMap(
iter_quantile_and_values
.map(|(val, quantil)| (format_percentile(val), quantil))
.map(|(val, quantil)| (format_percentil(val), quantil))
.collect(),
)
} else {

View File

@@ -89,7 +89,7 @@ use crate::{DocAddress, DocId, SegmentOrdinal};
/// }
/// ```
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
pub struct TopHitsAggregationReq {
pub struct TopHitsAggregation {
sort: Vec<KeyOrder>,
size: usize,
from: Option<usize>,
@@ -139,7 +139,7 @@ impl<'de> Deserialize<'de> for KeyOrder {
}
}
// Transform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
// Tranform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
fn globbed_string_to_regex(glob: &str) -> Result<Regex, crate::TantivyError> {
// Replace `*` glob with `.*` regex
let sanitized = format!("^{}$", regex::escape(glob).replace(r"\*", ".*"));
@@ -164,7 +164,7 @@ fn unsupported_err(parameter: &str) -> crate::Result<()> {
))
}
impl TopHitsAggregationReq {
impl TopHitsAggregation {
/// Validate and resolve field retrieval parameters
pub fn validate_and_resolve_field_names(
&mut self,
@@ -431,7 +431,7 @@ impl Eq for DocSortValuesAndFields {}
/// The TopHitsCollector used for collecting over segments and merging results.
#[derive(Clone, Serialize, Deserialize, Debug)]
pub struct TopHitsTopNComputer {
req: TopHitsAggregationReq,
req: TopHitsAggregation,
top_n: TopNComputer<DocSortValuesAndFields, DocAddress, false>,
}
@@ -443,7 +443,7 @@ impl std::cmp::PartialEq for TopHitsTopNComputer {
impl TopHitsTopNComputer {
/// Create a new TopHitsCollector
pub fn new(req: &TopHitsAggregationReq) -> Self {
pub fn new(req: &TopHitsAggregation) -> Self {
Self {
top_n: TopNComputer::new(req.size + req.from.unwrap_or(0)),
req: req.clone(),
@@ -496,7 +496,7 @@ pub(crate) struct TopHitsSegmentCollector {
impl TopHitsSegmentCollector {
pub fn from_req(
req: &TopHitsAggregationReq,
req: &TopHitsAggregation,
accessor_idx: usize,
segment_ordinal: SegmentOrdinal,
) -> Self {
@@ -509,7 +509,7 @@ impl TopHitsSegmentCollector {
fn into_top_hits_collector(
self,
value_accessors: &HashMap<String, Vec<DynamicColumn>>,
req: &TopHitsAggregationReq,
req: &TopHitsAggregation,
) -> TopHitsTopNComputer {
let mut top_hits_computer = TopHitsTopNComputer::new(req);
let top_results = self.top_n.into_vec();
@@ -532,7 +532,7 @@ impl TopHitsSegmentCollector {
fn collect_with(
&mut self,
doc_id: crate::DocId,
req: &TopHitsAggregationReq,
req: &TopHitsAggregation,
accessors: &[(Column<u64>, ColumnType)],
) -> crate::Result<()> {
let sorts: Vec<DocValueAndOrder> = req

View File

@@ -44,14 +44,11 @@
//! - [Metric](metric)
//! - [Average](metric::AverageAggregation)
//! - [Stats](metric::StatsAggregation)
//! - [ExtendedStats](metric::ExtendedStatsAggregation)
//! - [Min](metric::MinAggregation)
//! - [Max](metric::MaxAggregation)
//! - [Sum](metric::SumAggregation)
//! - [Count](metric::CountAggregation)
//! - [Percentiles](metric::PercentilesAggregationReq)
//! - [Cardinality](metric::CardinalityAggregationReq)
//! - [TopHits](metric::TopHitsAggregationReq)
//!
//! # Example
//! Compute the average metric, by building [`agg_req::Aggregations`], which is built from an
@@ -148,7 +145,7 @@ mod agg_tests;
use core::fmt;
pub use agg_limits::AggregationLimitsGuard;
pub use agg_limits::AggregationLimits;
pub use collector::{
AggregationCollector, AggregationSegmentCollector, DistributedAggregationCollector,
DEFAULT_BUCKET_LIMIT,
@@ -180,7 +177,7 @@ pub(crate) fn deserialize_option_f64<'de, D>(deserializer: D) -> Result<Option<f
where D: Deserializer<'de> {
struct StringOrFloatVisitor;
impl Visitor<'_> for StringOrFloatVisitor {
impl<'de> Visitor<'de> for StringOrFloatVisitor {
type Value = Option<f64>;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
@@ -226,7 +223,7 @@ pub(crate) fn deserialize_f64<'de, D>(deserializer: D) -> Result<f64, D::Error>
where D: Deserializer<'de> {
struct StringOrFloatVisitor;
impl Visitor<'_> for StringOrFloatVisitor {
impl<'de> Visitor<'de> for StringOrFloatVisitor {
type Value = f64;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
@@ -336,16 +333,10 @@ pub type SerializedKey = String;
#[derive(Clone, Debug, Serialize, Deserialize, PartialOrd)]
/// The key to identify a bucket.
///
/// The order is important, with serde untagged, that we try to deserialize into i64 first.
#[serde(untagged)]
pub enum Key {
/// String key
Str(String),
/// `i64` key
I64(i64),
/// `u64` key
U64(u64),
/// `f64` key
F64(f64),
}
@@ -356,8 +347,6 @@ impl std::hash::Hash for Key {
match self {
Key::Str(text) => text.hash(state),
Key::F64(val) => val.to_bits().hash(state),
Key::U64(val) => val.hash(state),
Key::I64(val) => val.hash(state),
}
}
}
@@ -377,8 +366,6 @@ impl Display for Key {
match self {
Key::Str(val) => f.write_str(val),
Key::F64(val) => f.write_str(&val.to_string()),
Key::U64(val) => f.write_str(&val.to_string()),
Key::I64(val) => f.write_str(&val.to_string()),
}
}
}
@@ -458,7 +445,7 @@ mod tests {
agg_req: Aggregations,
index: &Index,
query: Option<(&str, &str)>,
limits: AggregationLimitsGuard,
limits: AggregationLimits,
) -> crate::Result<Value> {
let collector = AggregationCollector::from_aggs(agg_req, limits);

View File

@@ -5,7 +5,7 @@
use std::fmt::Debug;
pub(crate) use super::agg_limits::AggregationLimitsGuard;
pub(crate) use super::agg_limits::AggregationLimits;
use super::agg_req::AggregationVariants;
use super::agg_req_with_accessor::{AggregationWithAccessor, AggregationsWithAccessor};
use super::bucket::{SegmentHistogramCollector, SegmentRangeCollector, SegmentTermCollector};
@@ -16,10 +16,7 @@ use super::metric::{
SumAggregation,
};
use crate::aggregation::bucket::TermMissingAgg;
use crate::aggregation::metric::{
CardinalityAggregationReq, SegmentCardinalityCollector, SegmentExtendedStatsCollector,
TopHitsSegmentCollector,
};
use crate::aggregation::metric::{SegmentExtendedStatsCollector, TopHitsSegmentCollector};
pub(crate) trait SegmentAggregationCollector: CollectorClone + Debug {
fn add_intermediate_aggregation_result(
@@ -103,7 +100,7 @@ pub(crate) fn build_single_agg_segment_collector(
Range(range_req) => Ok(Box::new(SegmentRangeCollector::from_req_and_validate(
range_req,
&mut req.sub_aggregation,
&mut req.limits,
&req.limits,
req.field_type,
accessor_idx,
)?)),
@@ -172,9 +169,6 @@ pub(crate) fn build_single_agg_segment_collector(
accessor_idx,
req.segment_ordinal,
))),
Cardinality(CardinalityAggregationReq { missing, .. }) => Ok(Box::new(
SegmentCardinalityCollector::from_req(req.field_type, accessor_idx, missing),
)),
}
}

View File

@@ -13,7 +13,7 @@ struct Hit<'a> {
facet: &'a Facet,
}
impl Eq for Hit<'_> {}
impl<'a> Eq for Hit<'a> {}
impl<'a> PartialEq<Hit<'a>> for Hit<'a> {
fn eq(&self, other: &Hit<'_>) -> bool {
@@ -27,7 +27,7 @@ impl<'a> PartialOrd<Hit<'a>> for Hit<'a> {
}
}
impl Ord for Hit<'_> {
impl<'a> Ord for Hit<'a> {
fn cmp(&self, other: &Self) -> Ordering {
other
.count

View File

@@ -182,7 +182,6 @@ where
}
/// A variant of the [`FilterCollector`] specialized for bytes fast fields, i.e.
///
/// it transparently wraps an inner [`Collector`] but filters documents
/// based on the result of applying the predicate to the bytes fast field.
///

View File

@@ -495,4 +495,4 @@ where
impl_downcast!(Fruit);
#[cfg(test)]
pub(crate) mod tests;
pub mod tests;

View File

@@ -161,7 +161,7 @@ impl<TFruit: Fruit> FruitHandle<TFruit> {
/// # Ok(())
/// # }
/// ```
#[expect(clippy::type_complexity)]
#[allow(clippy::type_complexity)]
#[derive(Default)]
pub struct MultiCollector<'a> {
collector_wrappers: Vec<
@@ -190,7 +190,7 @@ impl<'a> MultiCollector<'a> {
}
}
impl Collector for MultiCollector<'_> {
impl<'a> Collector for MultiCollector<'a> {
type Fruit = MultiFruit;
type Child = MultiCollectorChild;

View File

@@ -15,6 +15,11 @@ use crate::{DocAddress, DocId, SegmentOrdinal};
/// The REVERSE_ORDER generic parameter controls whether the by-feature order
/// should be reversed, which is useful for achieving for example largest-first
/// semantics without having to wrap the feature in a `Reverse`.
///
/// WARNING: equality is not what you would expect here.
/// Two elements are equal if their feature is equal, and regardless of whether `doc`
/// is equal. This should be perfectly fine for this usage, but let's make sure this
/// struct is never public.
#[derive(Clone, Default, Serialize, Deserialize)]
pub struct ComparableDoc<T, D, const REVERSE_ORDER: bool = false> {
/// The feature of the document. In practice, this is

View File

@@ -3,6 +3,7 @@ use std::marker::PhantomData;
use std::sync::Arc;
use columnar::ColumnValues;
use serde::de::DeserializeOwned;
use serde::{Deserialize, Serialize};
use super::Collector;
@@ -789,7 +790,7 @@ impl<Score, D, const R: bool> From<TopNComputerDeser<Score, D, R>> for TopNCompu
impl<Score, D, const R: bool> TopNComputer<Score, D, R>
where
Score: PartialOrd + Clone,
D: Ord,
D: Serialize + DeserializeOwned + Ord + Clone,
{
/// Create a new `TopNComputer`.
/// Internally it will allocate a buffer of size `2 * top_n`.

View File

@@ -1,91 +0,0 @@
use std::path::PathBuf;
use schema::*;
use crate::*;
fn create_index(path: &str) {
let mut schema_builder = Schema::builder();
let label = schema_builder.add_text_field("label", TEXT | STORED);
let date = schema_builder.add_date_field("date", INDEXED | STORED);
let schema = schema_builder.build();
std::fs::create_dir_all(path).unwrap();
let index = Index::create_in_dir(path, schema).unwrap();
let mut index_writer = index.writer_with_num_threads(1, 20_000_000).unwrap();
index_writer
.add_document(doc!(label => "dateformat", date => DateTime::from_timestamp_nanos(123456)))
.unwrap();
index_writer.commit().unwrap();
}
#[test]
/// Writes an Index for the current INDEX_FORMAT_VERSION to disk.
fn create_format() {
let version = INDEX_FORMAT_VERSION.to_string();
let file_path = path_for_version(&version);
if PathBuf::from(file_path.clone()).exists() {
return;
}
create_index(&file_path);
}
fn path_for_version(version: &str) -> String {
format!("./tests/compat_tests_data/index_v{}/", version)
}
/// feature flag quickwit uses a different dictionary type
#[test]
#[cfg(not(feature = "quickwit"))]
fn test_format_6() {
let path = path_for_version("6");
let index = Index::open_in_dir(path).expect("Failed to open index");
// dates are truncated to Microseconds in v6
assert_date_time_precision(&index, DateTimePrecision::Microseconds);
}
/// feature flag quickwit uses a different dictionary type
#[test]
#[cfg(not(feature = "quickwit"))]
fn test_format_7() {
let path = path_for_version("7");
let index = Index::open_in_dir(path).expect("Failed to open index");
// dates are not truncated in v7 in the docstore
assert_date_time_precision(&index, DateTimePrecision::Nanoseconds);
}
#[cfg(not(feature = "quickwit"))]
fn assert_date_time_precision(index: &Index, doc_store_precision: DateTimePrecision) {
use collector::TopDocs;
let reader = index.reader().expect("Failed to create reader");
let searcher = reader.searcher();
let schema = index.schema();
let label_field = schema.get_field("label").expect("Field 'label' not found");
let query_parser = query::QueryParser::for_index(index, vec![label_field]);
let query = query_parser
.parse_query("dateformat")
.expect("Failed to parse query");
let top_docs = searcher
.search(&query, &TopDocs::with_limit(1))
.expect("Search failed");
assert_eq!(top_docs.len(), 1, "Expected 1 search result");
let doc_address = top_docs[0].1;
let retrieved_doc: TantivyDocument = searcher
.doc(doc_address)
.expect("Failed to retrieve document");
let date_field = schema.get_field("date").expect("Field 'date' not found");
let date_value = retrieved_doc
.get_first(date_field)
.expect("Date field not found in document")
.as_datetime()
.unwrap();
let expected = DateTime::from_timestamp_nanos(123456).truncate(doc_store_precision);
assert_eq!(date_value, expected,);
}

View File

@@ -100,7 +100,7 @@ impl Executor {
/// Spawn a task on the pool, returning a future completing on task success.
///
/// If the task panics, returns `Err(())`.
/// If the task panic, returns `Err(())`.
#[cfg(feature = "quickwit")]
pub fn spawn_blocking<T: Send + 'static>(
&self,

View File

@@ -1,10 +1,10 @@
use common::json_path_writer::{JSON_END_OF_PATH, JSON_PATH_SEGMENT_SEP};
use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
use common::{replace_in_place, JsonPathWriter};
use rustc_hash::FxHashMap;
use crate::postings::{IndexingContext, IndexingPosition, PostingsWriter};
use crate::schema::document::{ReferenceValue, ReferenceValueLeaf, Value};
use crate::schema::{Type, DATE_TIME_PRECISION_INDEXED};
use crate::schema::Type;
use crate::time::format_description::well_known::Rfc3339;
use crate::time::{OffsetDateTime, UtcOffset};
use crate::tokenizer::TextAnalyzer;
@@ -71,7 +71,7 @@ pub fn json_path_sep_to_dot(path: &mut str) {
}
}
#[expect(clippy::too_many_arguments)]
#[allow(clippy::too_many_arguments)]
fn index_json_object<'a, V: Value<'a>>(
doc: DocId,
json_visitor: V::ObjectIter,
@@ -83,9 +83,6 @@ fn index_json_object<'a, V: Value<'a>>(
positions_per_path: &mut IndexingPositionsPerPath,
) {
for (json_path_segment, json_value_visitor) in json_visitor {
if json_path_segment.as_bytes().contains(&JSON_END_OF_PATH) {
continue;
}
json_path_writer.push(json_path_segment);
index_json_value(
doc,
@@ -101,7 +98,7 @@ fn index_json_object<'a, V: Value<'a>>(
}
}
#[expect(clippy::too_many_arguments)]
#[allow(clippy::too_many_arguments)]
pub(crate) fn index_json_value<'a, V: Value<'a>>(
doc: DocId,
json_value: V,
@@ -189,7 +186,6 @@ pub(crate) fn index_json_value<'a, V: Value<'a>>(
ctx.path_to_unordered_id
.get_or_allocate_unordered_id(json_path_writer.as_str()),
);
let val = val.truncate(DATE_TIME_PRECISION_INDEXED);
term_buffer.append_type_and_fast_value(val);
postings_writer.subscribe(doc, 0u32, term_buffer, ctx);
}
@@ -240,11 +236,7 @@ pub(crate) fn index_json_value<'a, V: Value<'a>>(
/// Tries to infer a JSON type from a string and append it to the term.
///
/// The term must be json + JSON path.
pub fn convert_to_fast_value_and_append_to_json_term(
mut term: Term,
phrase: &str,
truncate_date_for_search: bool,
) -> Option<Term> {
pub fn convert_to_fast_value_and_append_to_json_term(mut term: Term, phrase: &str) -> Option<Term> {
assert_eq!(
term.value()
.as_json_value_bytes()
@@ -255,11 +247,8 @@ pub fn convert_to_fast_value_and_append_to_json_term(
"JSON value bytes should be empty"
);
if let Ok(dt) = OffsetDateTime::parse(phrase, &Rfc3339) {
let mut dt = DateTime::from_utc(dt.to_offset(UtcOffset::UTC));
if truncate_date_for_search {
dt = dt.truncate(DATE_TIME_PRECISION_INDEXED);
}
term.append_type_and_fast_value(dt);
let dt_utc = dt.to_offset(UtcOffset::UTC);
term.append_type_and_fast_value(DateTime::from_utc(dt_utc));
return Some(term);
}
if let Ok(i64_val) = str::parse::<i64>(phrase) {

View File

@@ -39,7 +39,7 @@ impl RetryPolicy {
/// The `DirectoryLock` is an object that represents a file lock.
///
/// It is associated with a lock file, that gets deleted on `Drop.`
#[expect(dead_code)]
#[allow(dead_code)]
pub struct DirectoryLock(Box<dyn Send + Sync + 'static>);
struct DirectoryLockGuard {
@@ -102,8 +102,10 @@ fn retry_policy(is_blocking: bool) -> RetryPolicy {
///
/// There are currently two implementations of `Directory`
///
/// - The [`MMapDirectory`][crate::directory::MmapDirectory], this should be your default choice.
/// - The [`RamDirectory`][crate::directory::RamDirectory], which should be used mostly for tests.
/// - The [`MMapDirectory`][crate::directory::MmapDirectory], this
/// should be your default choice.
/// - The [`RamDirectory`][crate::directory::RamDirectory], which
/// should be used mostly for tests.
pub trait Directory: DirectoryClone + fmt::Debug + Send + Sync + 'static {
/// Opens a file and returns a boxed `FileHandle`.
///

View File

@@ -48,7 +48,6 @@ pub static INDEX_WRITER_LOCK: Lazy<Lock> = Lazy::new(|| Lock {
});
/// The meta lock file is here to protect the segment files being opened by
/// `IndexReader::reload()` from being garbage collected.
///
/// It makes it possible for another process to safely consume
/// our index in-writing. Ideally, we may have preferred `RWLock` semantics
/// here, but it is difficult to achieve on Windows.

View File

@@ -244,7 +244,7 @@ impl MmapDirectory {
directory_path,
)));
}
#[expect(clippy::bind_instead_of_map)]
#[allow(clippy::bind_instead_of_map)]
let canonical_path: PathBuf = directory_path.canonicalize().or_else(|io_err| {
let directory_path = directory_path.to_owned();

View File

@@ -32,7 +32,7 @@ pub struct WatchCallbackList {
/// file change is detected.
#[must_use = "This `WatchHandle` controls the lifetime of the watch and should therefore be used."]
#[derive(Clone)]
#[expect(dead_code)]
#[allow(dead_code)]
pub struct WatchHandle(Arc<WatchCallback>);
impl WatchHandle {

View File

@@ -117,7 +117,7 @@ pub trait DocSet: Send {
}
}
impl DocSet for &mut dyn DocSet {
impl<'a> DocSet for &'a mut dyn DocSet {
fn advance(&mut self) -> u32 {
(**self).advance()
}

View File

@@ -25,9 +25,10 @@ impl FacetReader {
/// Creates a new `FacetReader`.
///
/// A facet reader just wraps :
/// - a `MultiValuedFastFieldReader` that makes it possible to access the list of facet ords for
/// a given document.
/// - a `TermDictionary` that helps associating a facet to an ordinal and vice versa.
/// - a `MultiValuedFastFieldReader` that makes it possible to
/// access the list of facet ords for a given document.
/// - a `TermDictionary` that helps associating a facet to
/// an ordinal and vice versa.
pub fn new(facet_column: StrColumn) -> FacetReader {
FacetReader { facet_column }
}

View File

@@ -942,10 +942,10 @@ mod tests {
let numbers = [100, 200, 300];
let test_range = |range: RangeInclusive<u64>| {
let expected_count = numbers.iter().filter(|num| range.contains(num)).count();
let expexted_count = numbers.iter().filter(|num| range.contains(num)).count();
let mut vec = vec![];
field.get_row_ids_for_value_range(range, 0..u32::MAX, &mut vec);
assert_eq!(vec.len(), expected_count);
assert_eq!(vec.len(), expexted_count);
};
test_range(50..=50);
test_range(150..=150);
@@ -1020,10 +1020,10 @@ mod tests {
let numbers = [1000, 1001, 1003];
let test_range = |range: RangeInclusive<u64>| {
let expected_count = numbers.iter().filter(|num| range.contains(num)).count();
let expexted_count = numbers.iter().filter(|num| range.contains(num)).count();
let mut vec = vec![];
field.get_row_ids_for_value_range(range, 0..u32::MAX, &mut vec);
assert_eq!(vec.len(), expected_count);
assert_eq!(vec.len(), expexted_count);
};
let test_range_variant = |start, stop| {
let start_range = start..=stop;

View File

@@ -70,13 +70,13 @@ impl FastFieldReaders {
///
/// This function transforms `attributes.color` into a column key to be used in the `columnar`.
///
/// The logic works as follows, first we identify which field is targeted by calling
/// The logic works as follows, first we identify which field is targetted by calling
/// `schema.find_field(..)`. This method will attempt to split the user splied fast field
/// name by non-escaped dots, and find the longest matching schema field name.
/// In our case, it would return the (attribute_field, "color").
///
/// If no field is found, but a dynamic field is supplied, then we
/// will simply assume the user is targeting the dynamic field. (This feature is used in
/// will simply assuem the user is targetting the dynamic field. (This feature is used in
/// Quickwit.)
///
/// We then encode the `(field, path)` into the right `columnar_key`.

View File

@@ -149,7 +149,7 @@ impl FieldNormReader {
}
#[cfg(test)]
pub(crate) fn for_test(field_norms: &[u32]) -> FieldNormReader {
pub fn for_test(field_norms: &[u32]) -> FieldNormReader {
let field_norms_id = field_norms
.iter()
.cloned()

View File

@@ -1,9 +1,12 @@
#![allow(deprecated)] // Remove with index sorting
use std::collections::HashSet;
use rand::{thread_rng, Rng};
use crate::indexer::index_writer::MEMORY_BUDGET_NUM_BYTES_MIN;
use crate::schema::*;
#[allow(deprecated)]
use crate::{doc, schema, Index, IndexWriter, Searcher};
fn check_index_content(searcher: &Searcher, vals: &[u64]) -> crate::Result<()> {

View File

@@ -11,8 +11,8 @@ use crate::TantivyError;
/// progress. Dropping the `FutureResult` does not cancel the task being executed
/// either.
///
/// - In a sync context, you can call `FutureResult::wait()`. The function does not rely on
/// `block_on`.
/// - In a sync context, you can call `FutureResult::wait()`. The function
/// does not rely on `block_on`.
/// - In an async context, you can call simply use `FutureResult` as a future.
pub struct FutureResult<T> {
inner: Inner<T>,

View File

@@ -49,8 +49,10 @@ fn load_metas(
/// Save the index meta file.
/// This operation is atomic :
/// Either
/// - it fails, in which case an error is returned, and the `meta.json` remains untouched,
/// - it succeeds, and `meta.json` is written and flushed.
/// - it fails, in which case an error is returned,
/// and the `meta.json` remains untouched,
/// - it succeeds, and `meta.json` is written
/// and flushed.
///
/// This method is not part of tantivy's public API
fn save_new_metas(
@@ -527,12 +529,12 @@ impl Index {
/// `IndexWriter` on the system is accessing the index directory,
/// it is safe to manually delete the lockfile.
///
/// - `num_threads` defines the number of indexing workers that should work at the same time.
/// - `num_threads` defines the number of indexing workers that
/// should work at the same time.
///
/// - `overall_memory_budget_in_bytes` sets the amount of memory allocated for all indexing
/// thread.
///
/// Each thread will receive a budget of `overall_memory_budget_in_bytes / num_threads`.
/// - `overall_memory_budget_in_bytes` sets the amount of memory
/// allocated for all indexing thread.
/// Each thread will receive a budget of `overall_memory_budget_in_bytes / num_threads`.
///
/// # Errors
/// If the lockfile already exists, returns `Error::DirectoryLockBusy` or an `Error::IoError`.

View File

@@ -176,7 +176,10 @@ impl SegmentMeta {
}
/// Updates the max_doc value from the `SegmentMeta`.
pub fn with_max_doc(self, max_doc: u32) -> SegmentMeta {
///
/// This method is only used when updating `max_doc` from 0
/// as we finalize a fresh new segment.
pub(crate) fn with_max_doc(self, max_doc: u32) -> SegmentMeta {
assert_eq!(self.tracked.max_doc, 0);
assert!(self.tracked.deletes.is_none());
let tracked = self.tracked.map(move |inner_meta| InnerSegmentMeta {

View File

@@ -31,6 +31,7 @@ pub struct InvertedIndexReader {
}
impl InvertedIndexReader {
#[allow(clippy::needless_pass_by_value)] // for symmetry
pub(crate) fn new(
termdict: TermDictionary,
postings_file_slice: FileSlice,
@@ -70,7 +71,7 @@ impl InvertedIndexReader {
&self.termdict
}
/// Return the fields and types encoded in the dictionary in lexicographic order.
/// Return the fields and types encoded in the dictionary in lexicographic oder.
/// Only valid on JSON fields.
///
/// Notice: This requires a full scan and therefore **very expensive**.
@@ -204,6 +205,16 @@ impl InvertedIndexReader {
.transpose()
}
pub(crate) fn read_postings_no_deletes(
&self,
term: &Term,
option: IndexRecordOption,
) -> io::Result<Option<SegmentPostings>> {
self.get_term_info(term)?
.map(|term_info| self.read_postings_from_terminfo(&term_info, option))
.transpose()
}
/// Returns the number of documents containing the term.
pub fn doc_freq(&self, term: &Term) -> io::Result<u32> {
Ok(self

View File

@@ -1,7 +1,6 @@
use std::slice;
/// Enum describing each component of a tantivy segment.
///
/// Each component is stored in its own file,
/// using the pattern `segment_uuid`.`component_extension`,
/// except the delete component that takes an `segment_uuid`.`delete_opstamp`.`component_extension`

View File

@@ -358,7 +358,7 @@ impl SegmentReader {
.map(|(mut field_name, handle)| {
json_path_sep_to_dot(&mut field_name);
// map to canonical path, to avoid similar but different entries.
// Eventually we should just accept '.' separated for all cases.
// Eventually we should just accept '.' seperated for all cases.
let field_name = map_to_canonical
.get(&field_name)
.unwrap_or(&field_name)
@@ -478,7 +478,7 @@ pub fn merge_field_meta_data(
.into_iter()
.kmerge_by(|left, right| left < right)
// TODO: Remove allocation
.chunk_by(|el| (el.field_name.to_string(), el.typ))
.group_by(|el| (el.field_name.to_string(), el.typ))
{
let mut merged: FieldMetadata = group.next().unwrap();
for el in group {

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