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https://github.com/quickwit-oss/tantivy.git
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2 Commits
bugfix-uni
...
githubacti
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
6eb7c7f419 | ||
|
|
e37ca8178a |
28
.github/workflows/ci.yml
vendored
Normal file
28
.github/workflows/ci.yml
vendored
Normal file
@@ -0,0 +1,28 @@
|
||||
name: Tantivy CI
|
||||
|
||||
on: [push]
|
||||
|
||||
jobs:
|
||||
test:
|
||||
name: Test Suite
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- uses: actions-rs/toolchain@v1
|
||||
with:
|
||||
profile: minimal
|
||||
toolchain: stable
|
||||
override: true
|
||||
- uses: actions-rs/cargo@v1
|
||||
with:
|
||||
command: test
|
||||
- uses: actions-rs/cargo@v1
|
||||
with:
|
||||
command: fmt
|
||||
args: --all -- --check
|
||||
- run: rustup component add clippy
|
||||
- uses: actions-rs/cargo@v1
|
||||
with:
|
||||
command: clippy
|
||||
args: -- -D warnings
|
||||
|
||||
66
.github/workflows/coveralls.yml
vendored
Normal file
66
.github/workflows/coveralls.yml
vendored
Normal file
@@ -0,0 +1,66 @@
|
||||
on: [push]
|
||||
|
||||
name: Code coverage with grcov
|
||||
|
||||
jobs:
|
||||
grcov:
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
matrix:
|
||||
os:
|
||||
- ubuntu-latest
|
||||
#- macOS-latest
|
||||
#- windows-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
|
||||
- name: Install toolchain
|
||||
uses: actions-rs/toolchain@v1
|
||||
with:
|
||||
toolchain: nightly
|
||||
override: true
|
||||
profile: minimal
|
||||
|
||||
- name: Execute tests
|
||||
uses: actions-rs/cargo@v1
|
||||
with:
|
||||
command: test
|
||||
args: --all --lib
|
||||
env:
|
||||
CARGO_INCREMENTAL: 0
|
||||
RUSTFLAGS: "-Zprofile -Ccodegen-units=1 -Cinline-threshold=0 -Clink-dead-code -Coverflow-checks=off -Cpanic=abort -Zpanic_abort_tests"
|
||||
|
||||
# Note that `actions-rs/grcov` Action can install `grcov` too,
|
||||
# but can't use faster installation methods yet.
|
||||
# As a temporary experiment `actions-rs/install` Action plugged in here.
|
||||
# Consider **NOT** to copy that into your workflow,
|
||||
# but use `actions-rs/grcov` only
|
||||
- name: Pre-installing grcov
|
||||
uses: actions-rs/install@v0.1
|
||||
with:
|
||||
crate: grcov
|
||||
use-tool-cache: true
|
||||
|
||||
- name: Gather coverage data
|
||||
id: coverage
|
||||
uses: actions-rs/grcov@v0.1
|
||||
with:
|
||||
coveralls-token: ${{ secrets.COVERALLS_TOKEN }}
|
||||
|
||||
- name: Coveralls upload
|
||||
uses: coverallsapp/github-action@master
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
parallel: true
|
||||
path-to-lcov: ${{ steps.coverage.outputs.report }}
|
||||
|
||||
grcov_finalize:
|
||||
runs-on: ubuntu-latest
|
||||
needs: grcov
|
||||
steps:
|
||||
- name: Coveralls finalization
|
||||
uses: coverallsapp/github-action@master
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
parallel-finished: true
|
||||
@@ -1,7 +1,3 @@
|
||||
Tantivy 0.14.0
|
||||
=========================
|
||||
- Remove dependency to atomicwrites #833 .Implemented by @pmasurel upon suggestion and research from @asafigan).
|
||||
|
||||
Tantivy 0.13.0
|
||||
======================
|
||||
Tantivy 0.13 introduce a change in the index format that will require
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy"
|
||||
version = "0.14.0-dev"
|
||||
version = "0.13.0"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
@@ -22,7 +22,8 @@ tantivy-fst = "0.3"
|
||||
memmap = {version = "0.7", optional=true}
|
||||
lz4 = {version="1.20", optional=true}
|
||||
snap = "1"
|
||||
tempfile = {version="3.0", optional=true}
|
||||
atomicwrites = {version="0.2.2", optional=true}
|
||||
tempfile = "3.0"
|
||||
log = "0.4"
|
||||
serde = {version="1.0", features=["derive"]}
|
||||
serde_json = "1.0"
|
||||
@@ -74,7 +75,7 @@ overflow-checks = true
|
||||
|
||||
[features]
|
||||
default = ["mmap"]
|
||||
mmap = ["fs2", "tempfile", "memmap", "notify"]
|
||||
mmap = ["atomicwrites", "fs2", "memmap", "notify"]
|
||||
lz4-compression = ["lz4"]
|
||||
failpoints = ["fail/failpoints"]
|
||||
unstable = [] # useful for benches.
|
||||
|
||||
@@ -34,6 +34,11 @@ Tantivy is, in fact, strongly inspired by Lucene's design.
|
||||
The following [benchmark](https://tantivy-search.github.io/bench/) break downs
|
||||
performance for different type of queries / collection.
|
||||
|
||||
|
||||
In general, Tantivy tends to be
|
||||
- slower than Lucene on union with a Top-K due to Block-WAND optimization.
|
||||
- faster than Lucene on intersection and phrase queries.
|
||||
|
||||
Your mileage WILL vary depending on the nature of queries and their load.
|
||||
|
||||
# Features
|
||||
|
||||
@@ -112,6 +112,18 @@ fn main() -> tantivy::Result<()> {
|
||||
limbs and branches that arch over the pool"
|
||||
));
|
||||
|
||||
index_writer.add_document(doc!(
|
||||
title => "Of Mice and Men",
|
||||
body => "A few miles south of Soledad, the Salinas River drops in close to the hillside \
|
||||
bank and runs deep and green. The water is warm too, for it has slipped twinkling \
|
||||
over the yellow sands in the sunlight before reaching the narrow pool. On one \
|
||||
side of the river the golden foothill slopes curve up to the strong and rocky \
|
||||
Gabilan Mountains, but on the valley side the water is lined with trees—willows \
|
||||
fresh and green with every spring, carrying in their lower leaf junctures the \
|
||||
debris of the winter’s flooding; and sycamores with mottled, white, recumbent \
|
||||
limbs and branches that arch over the pool"
|
||||
));
|
||||
|
||||
// Multivalued field just need to be repeated.
|
||||
index_writer.add_document(doc!(
|
||||
title => "Frankenstein",
|
||||
|
||||
@@ -52,7 +52,7 @@ mod test {
|
||||
use crate::Occur;
|
||||
|
||||
#[test]
|
||||
fn test_occur_compose() {
|
||||
fn test_Occur_compose() {
|
||||
assert_eq!(Occur::compose(Occur::Should, Occur::Should), Occur::Should);
|
||||
assert_eq!(Occur::compose(Occur::Should, Occur::Must), Occur::Must);
|
||||
assert_eq!(
|
||||
|
||||
@@ -539,6 +539,7 @@ mod tests {
|
||||
test_index_on_commit_reload_policy_aux(field, &write_index, &reader);
|
||||
}
|
||||
}
|
||||
|
||||
fn test_index_on_commit_reload_policy_aux(field: Field, index: &Index, reader: &IndexReader) {
|
||||
let mut reader_index = reader.index();
|
||||
let (sender, receiver) = crossbeam::channel::unbounded();
|
||||
@@ -549,23 +550,12 @@ mod tests {
|
||||
assert_eq!(reader.searcher().num_docs(), 0);
|
||||
writer.add_document(doc!(field=>1u64));
|
||||
writer.commit().unwrap();
|
||||
// We need a loop here because it is possible for notify to send more than
|
||||
// one modify event. It was observed on CI on MacOS.
|
||||
loop {
|
||||
assert!(receiver.recv().is_ok());
|
||||
if reader.searcher().num_docs() == 1 {
|
||||
break;
|
||||
}
|
||||
}
|
||||
assert!(receiver.recv().is_ok());
|
||||
assert_eq!(reader.searcher().num_docs(), 1);
|
||||
writer.add_document(doc!(field=>2u64));
|
||||
writer.commit().unwrap();
|
||||
// ... Same as above
|
||||
loop {
|
||||
assert!(receiver.recv().is_ok());
|
||||
if reader.searcher().num_docs() == 2 {
|
||||
break;
|
||||
}
|
||||
}
|
||||
assert!(receiver.recv().is_ok());
|
||||
assert_eq!(reader.searcher().num_docs(), 2);
|
||||
}
|
||||
|
||||
// This test will not pass on windows, because windows
|
||||
|
||||
@@ -34,7 +34,6 @@ use std::sync::Mutex;
|
||||
use std::sync::RwLock;
|
||||
use std::sync::Weak;
|
||||
use std::thread;
|
||||
use tempfile;
|
||||
use tempfile::TempDir;
|
||||
|
||||
/// Create a default io error given a string.
|
||||
@@ -488,13 +487,11 @@ impl Directory for MmapDirectory {
|
||||
}
|
||||
}
|
||||
|
||||
fn atomic_write(&mut self, path: &Path, content: &[u8]) -> io::Result<()> {
|
||||
fn atomic_write(&mut self, path: &Path, data: &[u8]) -> io::Result<()> {
|
||||
debug!("Atomic Write {:?}", path);
|
||||
let mut tempfile = tempfile::NamedTempFile::new()?;
|
||||
tempfile.write_all(content)?;
|
||||
tempfile.flush()?;
|
||||
let full_path = self.resolve_path(path);
|
||||
tempfile.into_temp_path().persist(full_path)?;
|
||||
let meta_file = atomicwrites::AtomicFile::new(full_path, atomicwrites::AllowOverwrite);
|
||||
meta_file.write(|f| f.write_all(data))?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
|
||||
@@ -211,19 +211,19 @@ fn test_watch(directory: &mut dyn Directory) {
|
||||
.unwrap();
|
||||
|
||||
for i in 0..10 {
|
||||
assert!(i <= counter.load(SeqCst));
|
||||
assert_eq!(i, counter.load(SeqCst));
|
||||
assert!(directory
|
||||
.atomic_write(Path::new("meta.json"), b"random_test_data_2")
|
||||
.is_ok());
|
||||
assert_eq!(receiver.recv_timeout(Duration::from_millis(500)), Ok(i));
|
||||
assert!(i + 1 <= counter.load(SeqCst)); // notify can trigger more than once.
|
||||
assert_eq!(i + 1, counter.load(SeqCst));
|
||||
}
|
||||
mem::drop(watch_handle);
|
||||
assert!(directory
|
||||
.atomic_write(Path::new("meta.json"), b"random_test_data")
|
||||
.is_ok());
|
||||
assert!(receiver.recv_timeout(Duration::from_millis(500)).is_ok());
|
||||
assert!(10 <= counter.load(SeqCst));
|
||||
assert_eq!(10, counter.load(SeqCst));
|
||||
}
|
||||
|
||||
fn test_lock_non_blocking(directory: &mut dyn Directory) {
|
||||
|
||||
@@ -29,9 +29,8 @@ pub use self::segment_writer::SegmentWriter;
|
||||
/// Alias for the default merge policy, which is the `LogMergePolicy`.
|
||||
pub type DefaultMergePolicy = LogMergePolicy;
|
||||
|
||||
#[cfg(feature = "mmap")]
|
||||
#[cfg(test)]
|
||||
mod tests_mmap {
|
||||
mod tests {
|
||||
use crate::schema::{self, Schema};
|
||||
use crate::{Index, Term};
|
||||
|
||||
|
||||
@@ -4,6 +4,19 @@ use crate::{DocId, DocSet, Score, TERMINATED};
|
||||
use std::ops::Deref;
|
||||
use std::ops::DerefMut;
|
||||
|
||||
fn is_sorted<I: Iterator<Item = DocId>>(mut it: I) -> bool {
|
||||
if let Some(first) = it.next() {
|
||||
let mut prev = first;
|
||||
for doc in it {
|
||||
if doc < prev {
|
||||
return false;
|
||||
}
|
||||
prev = doc;
|
||||
}
|
||||
}
|
||||
true
|
||||
}
|
||||
|
||||
/// Takes a term_scorers sorted by their current doc() and a threshold and returns
|
||||
/// Returns (pivot_len, pivot_ord) defined as follows:
|
||||
/// - `pivot_doc` lowest document that has a chance of exceeding (>) the threshold score.
|
||||
@@ -42,12 +55,37 @@ fn find_pivot_doc(
|
||||
Some((before_pivot_len, pivot_len, pivot_doc))
|
||||
}
|
||||
|
||||
struct TermScorerWithMaxScore<'a> {
|
||||
scorer: &'a mut TermScorer,
|
||||
max_score: Score,
|
||||
}
|
||||
|
||||
impl<'a> From<&'a mut TermScorer> for TermScorerWithMaxScore<'a> {
|
||||
fn from(scorer: &'a mut TermScorer) -> Self {
|
||||
let max_score = scorer.max_score();
|
||||
TermScorerWithMaxScore { scorer, max_score }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Deref for TermScorerWithMaxScore<'a> {
|
||||
type Target = TermScorer;
|
||||
|
||||
fn deref(&self) -> &Self::Target {
|
||||
self.scorer
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> DerefMut for TermScorerWithMaxScore<'a> {
|
||||
fn deref_mut(&mut self) -> &mut Self::Target {
|
||||
self.scorer
|
||||
}
|
||||
}
|
||||
|
||||
// Before and after calling this method, scorers need to be sorted by their `.doc()`.
|
||||
fn block_max_was_too_low_advance_one_scorer(
|
||||
scorers: &mut Vec<TermScorerWithMaxScore>,
|
||||
pivot_len: usize,
|
||||
) {
|
||||
debug_assert!(is_sorted(scorers.iter().map(|scorer| scorer.doc())));
|
||||
let mut scorer_to_seek = pivot_len - 1;
|
||||
let mut doc_to_seek_after = scorers[scorer_to_seek].doc();
|
||||
for scorer_ord in (0..pivot_len - 1).rev() {
|
||||
@@ -64,7 +102,6 @@ fn block_max_was_too_low_advance_one_scorer(
|
||||
}
|
||||
scorers[scorer_to_seek].seek(doc_to_seek_after + 1);
|
||||
restore_ordering(scorers, scorer_to_seek);
|
||||
debug_assert!(is_sorted(scorers.iter().map(|scorer| scorer.doc())));
|
||||
}
|
||||
|
||||
// Given a list of term_scorers and a `ord` and assuming that `term_scorers[ord]` is sorted
|
||||
@@ -140,99 +177,64 @@ pub fn block_wand(
|
||||
.map(TermScorerWithMaxScore::from)
|
||||
.collect();
|
||||
scorers.sort_by_key(|scorer| scorer.doc());
|
||||
// At this point we need to ensure that the scorers are sorted!
|
||||
debug_assert!(is_sorted(scorers.iter().map(|scorer| scorer.doc())));
|
||||
while let Some((before_pivot_len, pivot_len, pivot_doc)) =
|
||||
find_pivot_doc(&scorers[..], threshold)
|
||||
{
|
||||
loop {
|
||||
// At this point we need to ensure that the scorers are sorted!
|
||||
debug_assert!(is_sorted(scorers.iter().map(|scorer| scorer.doc())));
|
||||
debug_assert_ne!(pivot_doc, TERMINATED);
|
||||
debug_assert!(before_pivot_len < pivot_len);
|
||||
if let Some((before_pivot_len, pivot_len, pivot_doc)) =
|
||||
find_pivot_doc(&scorers[..], threshold)
|
||||
{
|
||||
debug_assert_ne!(pivot_doc, TERMINATED);
|
||||
debug_assert!(before_pivot_len < pivot_len);
|
||||
|
||||
let block_max_score_upperbound: Score = scorers[..pivot_len]
|
||||
.iter_mut()
|
||||
.map(|scorer| {
|
||||
scorer.shallow_seek(pivot_doc);
|
||||
scorer.block_max_score()
|
||||
})
|
||||
.sum();
|
||||
let block_max_score_upperbound: Score = scorers[..pivot_len]
|
||||
.iter_mut()
|
||||
.map(|scorer| {
|
||||
scorer.shallow_seek(pivot_doc);
|
||||
scorer.block_max_score()
|
||||
})
|
||||
.sum();
|
||||
|
||||
// Beware after shallow advance, skip readers can be in advance compared to
|
||||
// the segment posting lists.
|
||||
//
|
||||
// `block_segment_postings.load_block()` need to be called separately.
|
||||
if block_max_score_upperbound <= threshold {
|
||||
// Block max condition was not reached
|
||||
// We could get away by simply advancing the scorers to DocId + 1 but it would
|
||||
// be inefficient. The optimization requires proper explanation and was
|
||||
// isolated in a different function.
|
||||
block_max_was_too_low_advance_one_scorer(&mut scorers, pivot_len);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Block max condition is observed.
|
||||
//
|
||||
// Let's try and advance all scorers before the pivot to the pivot.
|
||||
if !align_scorers(&mut scorers, pivot_doc, before_pivot_len) {
|
||||
// At least of the scorer does not contain the pivot.
|
||||
// Beware after shallow advance, skip readers can be in advance compared to
|
||||
// the segment posting lists.
|
||||
//
|
||||
// Let's stop scoring this pivot and go through the pivot selection again.
|
||||
// Note that the current pivot is not necessarily a bad candidate and it
|
||||
// may be picked again.
|
||||
continue;
|
||||
}
|
||||
|
||||
// At this point, all scorers are positioned on the doc.
|
||||
let score = scorers[..pivot_len]
|
||||
.iter_mut()
|
||||
.map(|scorer| scorer.score())
|
||||
.sum();
|
||||
if score > threshold {
|
||||
threshold = callback(pivot_doc, score);
|
||||
}
|
||||
// let's advance all of the scorers that are currently positioned on the pivot.
|
||||
advance_all_scorers_on_pivot(&mut scorers, pivot_len);
|
||||
}
|
||||
}
|
||||
|
||||
struct TermScorerWithMaxScore<'a> {
|
||||
scorer: &'a mut TermScorer,
|
||||
max_score: Score,
|
||||
}
|
||||
|
||||
impl<'a> From<&'a mut TermScorer> for TermScorerWithMaxScore<'a> {
|
||||
fn from(scorer: &'a mut TermScorer) -> Self {
|
||||
let max_score = scorer.max_score();
|
||||
TermScorerWithMaxScore { scorer, max_score }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Deref for TermScorerWithMaxScore<'a> {
|
||||
type Target = TermScorer;
|
||||
|
||||
fn deref(&self) -> &Self::Target {
|
||||
self.scorer
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> DerefMut for TermScorerWithMaxScore<'a> {
|
||||
fn deref_mut(&mut self) -> &mut Self::Target {
|
||||
self.scorer
|
||||
}
|
||||
}
|
||||
|
||||
fn is_sorted<I: Iterator<Item = DocId>>(mut it: I) -> bool {
|
||||
if let Some(first) = it.next() {
|
||||
let mut prev = first;
|
||||
for doc in it {
|
||||
if doc < prev {
|
||||
return false;
|
||||
// `block_segment_postings.load_block()` need to be called separately.
|
||||
if block_max_score_upperbound <= threshold {
|
||||
// Block max condition was not reached
|
||||
// We could get away by simply advancing the scorers to DocId + 1 but it would
|
||||
// be inefficient. The optimization requires proper explanation and was
|
||||
// isolated in a different function.
|
||||
block_max_was_too_low_advance_one_scorer(&mut scorers, pivot_len);
|
||||
continue;
|
||||
}
|
||||
prev = doc;
|
||||
|
||||
// Block max condition is observed.
|
||||
//
|
||||
// Let's try and advance all scorers before the pivot to the pivot.
|
||||
if !align_scorers(&mut scorers, pivot_doc, before_pivot_len) {
|
||||
// At least of the scorer does not contain the pivot.
|
||||
//
|
||||
// Let's stop scoring this pivot and go through the pivot selection again.
|
||||
// Note that the current pivot is not necessarily a bad candidate and it
|
||||
// may be picked again.
|
||||
continue;
|
||||
}
|
||||
|
||||
// At this point, all scorers are positioned on the doc.
|
||||
let score = scorers[..pivot_len]
|
||||
.iter_mut()
|
||||
.map(|scorer| scorer.score())
|
||||
.sum();
|
||||
if score > threshold {
|
||||
threshold = callback(pivot_doc, score);
|
||||
}
|
||||
// let's advance all of the scorers that are currently positioned on the pivot.
|
||||
advance_all_scorers_on_pivot(&mut scorers, pivot_len);
|
||||
} else {
|
||||
return;
|
||||
}
|
||||
}
|
||||
true
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate::query::score_combiner::SumCombiner;
|
||||
@@ -246,21 +248,17 @@ mod tests {
|
||||
use std::iter;
|
||||
|
||||
struct Float(Score);
|
||||
|
||||
impl Eq for Float {}
|
||||
|
||||
impl PartialEq for Float {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
self.cmp(&other) == Ordering::Equal
|
||||
}
|
||||
}
|
||||
|
||||
impl PartialOrd for Float {
|
||||
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
|
||||
Some(self.cmp(other))
|
||||
}
|
||||
}
|
||||
|
||||
impl Ord for Float {
|
||||
fn cmp(&self, other: &Self) -> Ordering {
|
||||
other.0.partial_cmp(&self.0).unwrap_or(Ordering::Equal)
|
||||
|
||||
@@ -4,7 +4,7 @@ use crate::docset::DocSet;
|
||||
use crate::postings::SegmentPostings;
|
||||
use crate::query::bm25::BM25Weight;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::weight::for_each_scorer;
|
||||
use crate::query::weight::{for_each_pruning_scorer, for_each_scorer};
|
||||
use crate::query::Weight;
|
||||
use crate::query::{Explanation, Scorer};
|
||||
use crate::schema::IndexRecordOption;
|
||||
@@ -73,8 +73,8 @@ impl Weight for TermWeight {
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score) -> Score,
|
||||
) -> crate::Result<()> {
|
||||
let scorer = self.specialized_scorer(reader, 1.0)?;
|
||||
crate::query::boolean_query::block_wand(vec![scorer], threshold, callback);
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
for_each_pruning_scorer(&mut scorer, threshold, callback);
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -138,11 +138,9 @@ impl InnerIndexReader {
|
||||
.collect::<crate::Result<_>>()?
|
||||
};
|
||||
let schema = self.index.schema();
|
||||
let searchers = std::iter::repeat_with(|| {
|
||||
Searcher::new(schema.clone(), self.index.clone(), segment_readers.clone())
|
||||
})
|
||||
.take(self.num_searchers)
|
||||
.collect();
|
||||
let searchers = (0..self.num_searchers)
|
||||
.map(|_| Searcher::new(schema.clone(), self.index.clone(), segment_readers.clone()))
|
||||
.collect();
|
||||
self.searcher_pool.publish_new_generation(searchers);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user