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2
.gitignore
vendored
2
.gitignore
vendored
@@ -1,4 +1,5 @@
|
||||
tantivy.iml
|
||||
proptest-regressions
|
||||
*.swp
|
||||
target
|
||||
target/debug
|
||||
@@ -11,3 +12,4 @@ cpp/simdcomp/bitpackingbenchmark
|
||||
*.bk
|
||||
.idea
|
||||
trace.dat
|
||||
cargo-timing*
|
||||
|
||||
18
CHANGELOG.md
18
CHANGELOG.md
@@ -1,5 +1,21 @@
|
||||
Tantivy 0.14.0
|
||||
=========================
|
||||
- Remove dependency to atomicwrites #833 .Implemented by @pmasurel upon suggestion and research from @asafigan).
|
||||
|
||||
Tantivy 0.13.1
|
||||
===================
|
||||
Made `Query` and `Collector` `Send + Sync`.
|
||||
Updated misc dependency versions.
|
||||
|
||||
Tantivy 0.13.0
|
||||
======================
|
||||
Tantivy 0.13 introduce a change in the index format that will require
|
||||
you to reindex your index (BlockWAND information are added in the skiplist).
|
||||
The index size increase is minor as this information is only added for
|
||||
full blocks.
|
||||
If you have a massive index for which reindexing is not an option, please contact me
|
||||
so that we can discuss possible solutions.
|
||||
|
||||
- Bugfix in `FuzzyTermQuery` not matching terms by prefix when it should (@Peachball)
|
||||
- Relaxed constraints on the custom/tweak score functions. At the segment level, they can be mut, and they are not required to be Sync + Send.
|
||||
- `MMapDirectory::open` does not return a `Result` anymore.
|
||||
@@ -17,6 +33,8 @@ while doc != TERMINATED {
|
||||
The change made it possible to greatly simplify a lot of the docset's code.
|
||||
- Misc internal optimization and introduction of the `Scorer::for_each_pruning` function. (@fulmicoton)
|
||||
- Added an offset option to the Top(.*)Collectors. (@robyoung)
|
||||
- Added Block WAND. Performance on TOP-K on term-unions should be greatly increased. (@fulmicoton, and special thanks
|
||||
to the PISA team for answering all my questions!)
|
||||
|
||||
Tantivy 0.12.0
|
||||
======================
|
||||
|
||||
39
Cargo.toml
39
Cargo.toml
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy"
|
||||
version = "0.12.0"
|
||||
version = "0.14.0-dev"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
@@ -13,21 +13,20 @@ keywords = ["search", "information", "retrieval"]
|
||||
edition = "2018"
|
||||
|
||||
[dependencies]
|
||||
base64 = "0.12.0"
|
||||
byteorder = "1.0"
|
||||
crc32fast = "1.2.0"
|
||||
once_cell = "1.0"
|
||||
regex ={version = "1.3.0", default-features = false, features = ["std"]}
|
||||
base64 = "0.12"
|
||||
byteorder = "1"
|
||||
crc32fast = "1"
|
||||
once_cell = "1"
|
||||
regex ={version = "1", default-features = false, features = ["std"]}
|
||||
tantivy-fst = "0.3"
|
||||
memmap = {version = "0.7", optional=true}
|
||||
lz4 = {version="1.20", optional=true}
|
||||
lz4 = {version="1", optional=true}
|
||||
snap = "1"
|
||||
atomicwrites = {version="0.2.2", optional=true}
|
||||
tempfile = "3.0"
|
||||
tempfile = {version="3", optional=true}
|
||||
log = "0.4"
|
||||
serde = {version="1.0", features=["derive"]}
|
||||
serde_json = "1.0"
|
||||
num_cpus = "1.2"
|
||||
serde = {version="1", features=["derive"]}
|
||||
serde_json = "1"
|
||||
num_cpus = "1"
|
||||
fs2={version="0.4", optional=true}
|
||||
levenshtein_automata = "0.2"
|
||||
notify = {version="4", optional=true}
|
||||
@@ -35,20 +34,20 @@ uuid = { version = "0.8", features = ["v4", "serde"] }
|
||||
crossbeam = "0.7"
|
||||
futures = {version = "0.3", features=["thread-pool"] }
|
||||
owning_ref = "0.4"
|
||||
stable_deref_trait = "1.0.0"
|
||||
rust-stemmers = "1.2"
|
||||
downcast-rs = { version="1.0" }
|
||||
tantivy-query-grammar = { version="0.13", path="./query-grammar" }
|
||||
tantivy-query-grammar = { version="0.14.0-dev", path="./query-grammar" }
|
||||
stable_deref_trait = "1"
|
||||
rust-stemmers = "1"
|
||||
downcast-rs = "1"
|
||||
bitpacking = {version="0.8", default-features = false, features=["bitpacker4x"]}
|
||||
census = "0.4"
|
||||
fnv = "1.0.6"
|
||||
fnv = "1"
|
||||
owned-read = "0.4"
|
||||
failure = "0.1"
|
||||
htmlescape = "0.3.1"
|
||||
htmlescape = "0.3"
|
||||
fail = "0.4"
|
||||
murmurhash32 = "0.2"
|
||||
chrono = "0.4"
|
||||
smallvec = "1.0"
|
||||
smallvec = "1"
|
||||
rayon = "1"
|
||||
|
||||
[target.'cfg(windows)'.dependencies]
|
||||
@@ -75,7 +74,7 @@ overflow-checks = true
|
||||
|
||||
[features]
|
||||
default = ["mmap"]
|
||||
mmap = ["atomicwrites", "fs2", "memmap", "notify"]
|
||||
mmap = ["fs2", "tempfile", "memmap", "notify"]
|
||||
lz4-compression = ["lz4"]
|
||||
failpoints = ["fail/failpoints"]
|
||||
unstable = [] # useful for benches.
|
||||
|
||||
@@ -34,11 +34,6 @@ 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
|
||||
|
||||
50
doc/src/index-format.md
Normal file
50
doc/src/index-format.md
Normal file
@@ -0,0 +1,50 @@
|
||||
|
||||
# Managed files
|
||||
+----------+-----------+-------------------+
|
||||
| content | footer | footer_len: u32 |
|
||||
+----------+-----------+-------------------+
|
||||
|
||||
# Term Dictionary (Composite File)
|
||||
|
||||
+---------+---------------------------+------------------------+
|
||||
| fst | term_info_store | footer_len: u64 |
|
||||
+---------+---------------------------+------------------------+
|
||||
|
||||
During a merge the term info store need to fit in memory.
|
||||
It has a cost of n bytes per term.
|
||||
|
||||
# term_info_store
|
||||
+-------------------+---------------------------+------------------------+
|
||||
| len_block_meta | block_meta | term_infos |
|
||||
+-------------------+---------------------------+------------------------+
|
||||
|
||||
# inverted_index
|
||||
+------------------------+---------------------------+------------------------+
|
||||
| total_num_tokens: u64 | posting_lists.. | term_infos |
|
||||
+------------------------+---------------------------+------------------------+
|
||||
|
||||
# postings lists
|
||||
+------------------------+---------------------------+------------------------+
|
||||
|
|
||||
+
|
||||
|
||||
# composite file
|
||||
+----------------+-----+----------------+----------------------+----------------+
|
||||
| field file 1 | ... | field field n |composite file footer | footer len: u32|
|
||||
+----------------+-----+----------------+----------------------+----------------+
|
||||
|
||||
# composite file footer
|
||||
|
||||
+-----------------+---------------------------------------+
|
||||
|num fields: vint | (file_addr, offset_delta: vint) []... |
|
||||
+-----------------+---------------------------------------+
|
||||
|
||||
# FileAddr
|
||||
+--------------+--------------+
|
||||
| field: u32 | idx: VInt |
|
||||
+--------------+--------------+
|
||||
|
||||
# Posting lists
|
||||
+-----------------------------------------+
|
||||
| skip_reader
|
||||
+-----------------------------------------+
|
||||
@@ -112,18 +112,6 @@ 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",
|
||||
|
||||
@@ -14,7 +14,7 @@ use tantivy::fastfield::FastFieldReader;
|
||||
use tantivy::query::QueryParser;
|
||||
use tantivy::schema::Field;
|
||||
use tantivy::schema::{Schema, FAST, INDEXED, TEXT};
|
||||
use tantivy::{doc, Index, SegmentReader, TantivyError};
|
||||
use tantivy::{doc, Index, Score, SegmentReader, TantivyError};
|
||||
|
||||
#[derive(Default)]
|
||||
struct Stats {
|
||||
@@ -114,7 +114,7 @@ struct StatsSegmentCollector {
|
||||
impl SegmentCollector for StatsSegmentCollector {
|
||||
type Fruit = Option<Stats>;
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: f32) {
|
||||
fn collect(&mut self, doc: u32, _score: Score) {
|
||||
let value = self.fast_field_reader.get(doc) as f64;
|
||||
self.stats.count += 1;
|
||||
self.stats.sum += value;
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy-query-grammar"
|
||||
version = "0.13.0"
|
||||
version = "0.14.0-dev"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
|
||||
@@ -31,22 +31,12 @@ impl Occur {
|
||||
|
||||
/// Compose two occur values.
|
||||
pub fn compose(left: Occur, right: Occur) -> Occur {
|
||||
match left {
|
||||
Occur::Should => right,
|
||||
Occur::Must => {
|
||||
if right == Occur::MustNot {
|
||||
Occur::MustNot
|
||||
} else {
|
||||
Occur::Must
|
||||
}
|
||||
}
|
||||
Occur::MustNot => {
|
||||
if right == Occur::MustNot {
|
||||
Occur::Must
|
||||
} else {
|
||||
Occur::MustNot
|
||||
}
|
||||
}
|
||||
match (left, right) {
|
||||
(Occur::Should, _) => right,
|
||||
(Occur::Must, Occur::MustNot) => Occur::MustNot,
|
||||
(Occur::Must, _) => Occur::Must,
|
||||
(Occur::MustNot, Occur::MustNot) => Occur::Must,
|
||||
(Occur::MustNot, _) => Occur::MustNot,
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -56,3 +46,27 @@ impl fmt::Display for Occur {
|
||||
f.write_char(self.to_char())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use crate::Occur;
|
||||
|
||||
#[test]
|
||||
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!(
|
||||
Occur::compose(Occur::Should, Occur::MustNot),
|
||||
Occur::MustNot
|
||||
);
|
||||
assert_eq!(Occur::compose(Occur::Must, Occur::Should), Occur::Must);
|
||||
assert_eq!(Occur::compose(Occur::Must, Occur::Must), Occur::Must);
|
||||
assert_eq!(Occur::compose(Occur::Must, Occur::MustNot), Occur::MustNot);
|
||||
assert_eq!(
|
||||
Occur::compose(Occur::MustNot, Occur::Should),
|
||||
Occur::MustNot
|
||||
);
|
||||
assert_eq!(Occur::compose(Occur::MustNot, Occur::Must), Occur::MustNot);
|
||||
assert_eq!(Occur::compose(Occur::MustNot, Occur::MustNot), Occur::Must);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,8 +9,10 @@ use combine::{
|
||||
|
||||
fn field<'a>() -> impl Parser<&'a str, Output = String> {
|
||||
(
|
||||
letter(),
|
||||
many(satisfy(|c: char| c.is_alphanumeric() || c == '_')),
|
||||
(letter().or(char('_'))),
|
||||
many(satisfy(|c: char| {
|
||||
c.is_alphanumeric() || c == '_' || c == '-'
|
||||
})),
|
||||
)
|
||||
.skip(char(':'))
|
||||
.map(|(s1, s2): (char, String)| format!("{}{}", s1, s2))
|
||||
@@ -180,7 +182,7 @@ fn occur_leaf<'a>() -> impl Parser<&'a str, Output = (Option<Occur>, UserInputAS
|
||||
(optional(occur_symbol()), boosted_leaf())
|
||||
}
|
||||
|
||||
fn positive_float_number<'a>() -> impl Parser<&'a str, Output = f32> {
|
||||
fn positive_float_number<'a>() -> impl Parser<&'a str, Output = f64> {
|
||||
(many1(digit()), optional((char('.'), many1(digit())))).map(
|
||||
|(int_part, decimal_part_opt): (String, Option<(char, String)>)| {
|
||||
let mut float_str = int_part;
|
||||
@@ -188,18 +190,18 @@ fn positive_float_number<'a>() -> impl Parser<&'a str, Output = f32> {
|
||||
float_str.push(chr);
|
||||
float_str.push_str(&decimal_str);
|
||||
}
|
||||
float_str.parse::<f32>().unwrap()
|
||||
float_str.parse::<f64>().unwrap()
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
fn boost<'a>() -> impl Parser<&'a str, Output = f32> {
|
||||
fn boost<'a>() -> impl Parser<&'a str, Output = f64> {
|
||||
(char('^'), positive_float_number()).map(|(_, boost)| boost)
|
||||
}
|
||||
|
||||
fn boosted_leaf<'a>() -> impl Parser<&'a str, Output = UserInputAST> {
|
||||
(leaf(), optional(boost())).map(|(leaf, boost_opt)| match boost_opt {
|
||||
Some(boost) if (boost - 1.0).abs() > std::f32::EPSILON => {
|
||||
Some(boost) if (boost - 1.0).abs() > std::f64::EPSILON => {
|
||||
UserInputAST::Boost(Box::new(leaf), boost)
|
||||
}
|
||||
_ => leaf,
|
||||
@@ -279,14 +281,16 @@ pub fn parse_to_ast<'a>() -> impl Parser<&'a str, Output = UserInputAST> {
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
|
||||
type TestParseResult = Result<(), StringStreamError>;
|
||||
|
||||
use super::*;
|
||||
use combine::parser::Parser;
|
||||
|
||||
pub fn nearly_equals(a: f32, b: f32) -> bool {
|
||||
pub fn nearly_equals(a: f64, b: f64) -> bool {
|
||||
(a - b).abs() < 0.0005 * (a + b).abs()
|
||||
}
|
||||
|
||||
fn assert_nearly_equals(expected: f32, val: f32) {
|
||||
fn assert_nearly_equals(expected: f64, val: f64) {
|
||||
assert!(
|
||||
nearly_equals(val, expected),
|
||||
"Got {}, expected {}.",
|
||||
@@ -296,14 +300,15 @@ mod test {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_occur_symbol() {
|
||||
assert_eq!(super::occur_symbol().parse("-"), Ok((Occur::MustNot, "")));
|
||||
assert_eq!(super::occur_symbol().parse("+"), Ok((Occur::Must, "")));
|
||||
fn test_occur_symbol() -> TestParseResult {
|
||||
assert_eq!(super::occur_symbol().parse("-")?, (Occur::MustNot, ""));
|
||||
assert_eq!(super::occur_symbol().parse("+")?, (Occur::Must, ""));
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_positive_float_number() {
|
||||
fn valid_parse(float_str: &str, expected_val: f32, expected_remaining: &str) {
|
||||
fn valid_parse(float_str: &str, expected_val: f64, expected_remaining: &str) {
|
||||
let (val, remaining) = positive_float_number().parse(float_str).unwrap();
|
||||
assert_eq!(remaining, expected_remaining);
|
||||
assert_nearly_equals(val, expected_val);
|
||||
@@ -311,9 +316,9 @@ mod test {
|
||||
fn error_parse(float_str: &str) {
|
||||
assert!(positive_float_number().parse(float_str).is_err());
|
||||
}
|
||||
valid_parse("1.0", 1.0f32, "");
|
||||
valid_parse("1", 1.0f32, "");
|
||||
valid_parse("0.234234 aaa", 0.234234f32, " aaa");
|
||||
valid_parse("1.0", 1.0, "");
|
||||
valid_parse("1", 1.0, "");
|
||||
valid_parse("0.234234 aaa", 0.234234f64, " aaa");
|
||||
error_parse(".3332");
|
||||
error_parse("1.");
|
||||
error_parse("-1.");
|
||||
@@ -410,6 +415,25 @@ mod test {
|
||||
assert_eq!(format!("{:?}", ast), "\"abc\"");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_field_name() -> TestParseResult {
|
||||
assert_eq!(
|
||||
super::field().parse("my-field-name:a")?,
|
||||
("my-field-name".to_string(), "a")
|
||||
);
|
||||
assert_eq!(
|
||||
super::field().parse("my_field_name:a")?,
|
||||
("my_field_name".to_string(), "a")
|
||||
);
|
||||
assert!(super::field().parse(":a").is_err());
|
||||
assert!(super::field().parse("-my_field:a").is_err());
|
||||
assert_eq!(
|
||||
super::field().parse("_my_field:a")?,
|
||||
("_my_field".to_string(), "a")
|
||||
);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_range_parser() {
|
||||
// testing the range() parser separately
|
||||
|
||||
@@ -87,7 +87,7 @@ impl UserInputBound {
|
||||
pub enum UserInputAST {
|
||||
Clause(Vec<(Option<Occur>, UserInputAST)>),
|
||||
Leaf(Box<UserInputLeaf>),
|
||||
Boost(Box<UserInputAST>, f32),
|
||||
Boost(Box<UserInputAST>, f64),
|
||||
}
|
||||
|
||||
impl UserInputAST {
|
||||
|
||||
@@ -96,18 +96,18 @@ mod tests {
|
||||
}
|
||||
{
|
||||
let mut count_collector = SegmentCountCollector::default();
|
||||
count_collector.collect(0u32, 1f32);
|
||||
count_collector.collect(0u32, 1.0);
|
||||
assert_eq!(count_collector.harvest(), 1);
|
||||
}
|
||||
{
|
||||
let mut count_collector = SegmentCountCollector::default();
|
||||
count_collector.collect(0u32, 1f32);
|
||||
count_collector.collect(0u32, 1.0);
|
||||
assert_eq!(count_collector.harvest(), 1);
|
||||
}
|
||||
{
|
||||
let mut count_collector = SegmentCountCollector::default();
|
||||
count_collector.collect(0u32, 1f32);
|
||||
count_collector.collect(1u32, 1f32);
|
||||
count_collector.collect(0u32, 1.0);
|
||||
count_collector.collect(1u32, 1.0);
|
||||
assert_eq!(count_collector.harvest(), 2);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -46,7 +46,7 @@ pub trait CustomScorer<TScore>: Sync {
|
||||
|
||||
impl<TCustomScorer, TScore> Collector for CustomScoreTopCollector<TCustomScorer, TScore>
|
||||
where
|
||||
TCustomScorer: CustomScorer<TScore>,
|
||||
TCustomScorer: CustomScorer<TScore> + Send + Sync,
|
||||
TScore: 'static + PartialOrd + Clone + Send + Sync,
|
||||
{
|
||||
type Fruit = Vec<(TScore, DocAddress)>;
|
||||
|
||||
@@ -472,7 +472,7 @@ mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let num_facets: usize = 3 * 4 * 5;
|
||||
let facets: Vec<Facet> = (0..num_facets)
|
||||
.map(|mut n| {
|
||||
@@ -531,7 +531,7 @@ mod tests {
|
||||
let facet_field = schema_builder.add_facet_field("facets");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
facet_field => Facet::from_text(&"/subjects/A/a"),
|
||||
facet_field => Facet::from_text(&"/subjects/B/a"),
|
||||
@@ -550,12 +550,12 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_doc_search_by_facet() {
|
||||
fn test_doc_search_by_facet() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let facet_field = schema_builder.add_facet_field("facet");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(
|
||||
facet_field => Facet::from_text(&"/A/A"),
|
||||
));
|
||||
@@ -568,8 +568,8 @@ mod tests {
|
||||
index_writer.add_document(doc!(
|
||||
facet_field => Facet::from_text(&"/D/C/A"),
|
||||
));
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
assert_eq!(searcher.num_docs(), 4);
|
||||
|
||||
@@ -586,17 +586,17 @@ mod tests {
|
||||
assert_eq!(count_facet("/A/C"), 1);
|
||||
assert_eq!(count_facet("/A/C/A"), 1);
|
||||
assert_eq!(count_facet("/C/A"), 0);
|
||||
|
||||
let query_parser = QueryParser::for_index(&index, vec![]);
|
||||
{
|
||||
let query_parser = QueryParser::for_index(&index, vec![]);
|
||||
{
|
||||
let query = query_parser.parse_query("facet:/A/B").unwrap();
|
||||
assert_eq!(1, searcher.search(&query, &Count).unwrap());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("facet:/A").unwrap();
|
||||
assert_eq!(3, searcher.search(&query, &Count).unwrap());
|
||||
}
|
||||
let query = query_parser.parse_query("facet:/A/B")?;
|
||||
assert_eq!(1, searcher.search(&query, &Count).unwrap());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("facet:/A")?;
|
||||
assert_eq!(3, searcher.search(&query, &Count)?);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -631,7 +631,7 @@ mod tests {
|
||||
.collect();
|
||||
docs[..].shuffle(&mut thread_rng());
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for doc in docs {
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
@@ -684,7 +684,7 @@ mod bench {
|
||||
// 40425 docs
|
||||
docs[..].shuffle(&mut thread_rng());
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for doc in docs {
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
|
||||
@@ -89,7 +89,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
{
|
||||
for i in 0u64..10u64 {
|
||||
index_writer.add_document(doc!(
|
||||
|
||||
@@ -133,7 +133,7 @@ impl<T> Fruit for T where T: Send + downcast_rs::Downcast {}
|
||||
/// The collection logic itself is in the `SegmentCollector`.
|
||||
///
|
||||
/// Segments are not guaranteed to be visited in any specific order.
|
||||
pub trait Collector: Sync {
|
||||
pub trait Collector: Sync + Send {
|
||||
/// `Fruit` is the type for the result of our collection.
|
||||
/// e.g. `usize` for the `Count` collector.
|
||||
type Fruit: Fruit;
|
||||
|
||||
@@ -55,7 +55,7 @@ impl<TCollector: Collector> Collector for CollectorWrapper<TCollector> {
|
||||
impl SegmentCollector for Box<dyn BoxableSegmentCollector> {
|
||||
type Fruit = Box<dyn Fruit>;
|
||||
|
||||
fn collect(&mut self, doc: u32, score: f32) {
|
||||
fn collect(&mut self, doc: u32, score: Score) {
|
||||
self.as_mut().collect(doc, score);
|
||||
}
|
||||
|
||||
@@ -65,7 +65,7 @@ impl SegmentCollector for Box<dyn BoxableSegmentCollector> {
|
||||
}
|
||||
|
||||
pub trait BoxableSegmentCollector {
|
||||
fn collect(&mut self, doc: u32, score: f32);
|
||||
fn collect(&mut self, doc: u32, score: Score);
|
||||
fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit>;
|
||||
}
|
||||
|
||||
@@ -74,7 +74,7 @@ pub struct SegmentCollectorWrapper<TSegmentCollector: SegmentCollector>(TSegment
|
||||
impl<TSegmentCollector: SegmentCollector> BoxableSegmentCollector
|
||||
for SegmentCollectorWrapper<TSegmentCollector>
|
||||
{
|
||||
fn collect(&mut self, doc: u32, score: f32) {
|
||||
fn collect(&mut self, doc: u32, score: Score) {
|
||||
self.0.collect(doc, score);
|
||||
}
|
||||
|
||||
@@ -259,7 +259,7 @@ mod tests {
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text=>"abc"));
|
||||
index_writer.add_document(doc!(text=>"abc abc abc"));
|
||||
index_writer.add_document(doc!(text=>"abc abc"));
|
||||
|
||||
@@ -206,7 +206,7 @@ impl Collector for BytesFastFieldTestCollector {
|
||||
impl SegmentCollector for BytesFastFieldSegmentCollector {
|
||||
type Fruit = Vec<u8>;
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: f32) {
|
||||
fn collect(&mut self, doc: u32, _score: Score) {
|
||||
let data = self.reader.get_bytes(doc);
|
||||
self.vals.extend(data);
|
||||
}
|
||||
|
||||
@@ -38,7 +38,7 @@ use std::fmt;
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
///
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
/// index_writer.add_document(doc!(title => "The Name of the Wind"));
|
||||
/// index_writer.add_document(doc!(title => "The Diary of Muadib"));
|
||||
/// index_writer.add_document(doc!(title => "A Dairy Cow"));
|
||||
@@ -52,8 +52,8 @@ use std::fmt;
|
||||
/// let query = query_parser.parse_query("diary").unwrap();
|
||||
/// let top_docs = searcher.search(&query, &TopDocs::with_limit(2)).unwrap();
|
||||
///
|
||||
/// assert_eq!(&top_docs[0], &(0.7261542, DocAddress(0, 1)));
|
||||
/// assert_eq!(&top_docs[1], &(0.6099695, DocAddress(0, 3)));
|
||||
/// assert_eq!(top_docs[0].1, DocAddress(0, 1));
|
||||
/// assert_eq!(top_docs[1].1, DocAddress(0, 3));
|
||||
/// ```
|
||||
pub struct TopDocs(TopCollector<Score>);
|
||||
|
||||
@@ -123,7 +123,7 @@ impl TopDocs {
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
///
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
/// index_writer.add_document(doc!(title => "The Name of the Wind"));
|
||||
/// index_writer.add_document(doc!(title => "The Diary of Muadib"));
|
||||
/// index_writer.add_document(doc!(title => "A Dairy Cow"));
|
||||
@@ -139,8 +139,8 @@ impl TopDocs {
|
||||
/// let top_docs = searcher.search(&query, &TopDocs::with_limit(2).and_offset(1)).unwrap();
|
||||
///
|
||||
/// assert_eq!(top_docs.len(), 2);
|
||||
/// assert_eq!(&top_docs[0], &(0.5204813, DocAddress(0, 4)));
|
||||
/// assert_eq!(&top_docs[1], &(0.4793185, DocAddress(0, 3)));
|
||||
/// assert_eq!(top_docs[0].1, DocAddress(0, 4));
|
||||
/// assert_eq!(top_docs[1].1, DocAddress(0, 3));
|
||||
/// ```
|
||||
pub fn and_offset(self, offset: usize) -> TopDocs {
|
||||
TopDocs(self.0.and_offset(offset))
|
||||
@@ -163,7 +163,7 @@ impl TopDocs {
|
||||
/// # let schema = schema_builder.build();
|
||||
/// #
|
||||
/// # let index = Index::create_in_ram(schema);
|
||||
/// # let mut index_writer = index.writer_with_num_threads(1, 3_000_000)?;
|
||||
/// # let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
|
||||
/// # index_writer.add_document(doc!(title => "The Name of the Wind", rating => 92u64));
|
||||
/// # index_writer.add_document(doc!(title => "The Diary of Muadib", rating => 97u64));
|
||||
/// # index_writer.add_document(doc!(title => "A Dairy Cow", rating => 63u64));
|
||||
@@ -264,7 +264,7 @@ impl TopDocs {
|
||||
/// fn create_index() -> tantivy::Result<Index> {
|
||||
/// let schema = create_schema();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 3_000_000)?;
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
|
||||
/// let product_name = index.schema().get_field("product_name").unwrap();
|
||||
/// let popularity: Field = index.schema().get_field("popularity").unwrap();
|
||||
/// index_writer.add_document(doc!(product_name => "The Diary of Muadib", popularity => 1u64));
|
||||
@@ -303,7 +303,7 @@ impl TopDocs {
|
||||
/// let popularity: u64 = popularity_reader.get(doc);
|
||||
/// // Well.. For the sake of the example we use a simple logarithm
|
||||
/// // function.
|
||||
/// let popularity_boost_score = ((2u64 + popularity) as f32).log2();
|
||||
/// let popularity_boost_score = ((2u64 + popularity) as Score).log2();
|
||||
/// popularity_boost_score * original_score
|
||||
/// }
|
||||
/// });
|
||||
@@ -324,7 +324,7 @@ impl TopDocs {
|
||||
where
|
||||
TScore: 'static + Send + Sync + Clone + PartialOrd,
|
||||
TScoreSegmentTweaker: ScoreSegmentTweaker<TScore> + 'static,
|
||||
TScoreTweaker: ScoreTweaker<TScore, Child = TScoreSegmentTweaker>,
|
||||
TScoreTweaker: ScoreTweaker<TScore, Child = TScoreSegmentTweaker> + Send + Sync,
|
||||
{
|
||||
TweakedScoreTopCollector::new(score_tweaker, self.0.into_tscore())
|
||||
}
|
||||
@@ -371,7 +371,7 @@ impl TopDocs {
|
||||
/// # fn main() -> tantivy::Result<()> {
|
||||
/// # let schema = create_schema();
|
||||
/// # let index = Index::create_in_ram(schema);
|
||||
/// # let mut index_writer = index.writer_with_num_threads(1, 3_000_000)?;
|
||||
/// # let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
|
||||
/// # let product_name = index.schema().get_field("product_name").unwrap();
|
||||
/// #
|
||||
/// let popularity: Field = index.schema().get_field("popularity").unwrap();
|
||||
@@ -438,7 +438,7 @@ impl TopDocs {
|
||||
where
|
||||
TScore: 'static + Send + Sync + Clone + PartialOrd,
|
||||
TCustomSegmentScorer: CustomSegmentScorer<TScore> + 'static,
|
||||
TCustomScorer: CustomScorer<TScore, Child = TCustomSegmentScorer>,
|
||||
TCustomScorer: CustomScorer<TScore, Child = TCustomSegmentScorer> + Send + Sync,
|
||||
{
|
||||
CustomScoreTopCollector::new(custom_score, self.0.into_tscore())
|
||||
}
|
||||
@@ -479,7 +479,7 @@ impl Collector for TopDocs {
|
||||
let mut heap: BinaryHeap<ComparableDoc<Score, DocId>> = BinaryHeap::with_capacity(heap_len);
|
||||
|
||||
if let Some(delete_bitset) = reader.delete_bitset() {
|
||||
let mut threshold = f32::MIN;
|
||||
let mut threshold = Score::MIN;
|
||||
weight.for_each_pruning(threshold, reader, &mut |doc, score| {
|
||||
if delete_bitset.is_deleted(doc) {
|
||||
return threshold;
|
||||
@@ -491,16 +491,16 @@ impl Collector for TopDocs {
|
||||
if heap.len() < heap_len {
|
||||
heap.push(heap_item);
|
||||
if heap.len() == heap_len {
|
||||
threshold = heap.peek().map(|el| el.feature).unwrap_or(f32::MIN);
|
||||
threshold = heap.peek().map(|el| el.feature).unwrap_or(Score::MIN);
|
||||
}
|
||||
return threshold;
|
||||
}
|
||||
*heap.peek_mut().unwrap() = heap_item;
|
||||
threshold = heap.peek().map(|el| el.feature).unwrap_or(std::f32::MIN);
|
||||
threshold = heap.peek().map(|el| el.feature).unwrap_or(Score::MIN);
|
||||
threshold
|
||||
})?;
|
||||
} else {
|
||||
weight.for_each_pruning(f32::MIN, reader, &mut |doc, score| {
|
||||
weight.for_each_pruning(Score::MIN, reader, &mut |doc, score| {
|
||||
let heap_item = ComparableDoc {
|
||||
feature: score,
|
||||
doc,
|
||||
@@ -509,17 +509,17 @@ impl Collector for TopDocs {
|
||||
heap.push(heap_item);
|
||||
// TODO the threshold is suboptimal for heap.len == heap_len
|
||||
if heap.len() == heap_len {
|
||||
return heap.peek().map(|el| el.feature).unwrap_or(f32::MIN);
|
||||
return heap.peek().map(|el| el.feature).unwrap_or(Score::MIN);
|
||||
} else {
|
||||
return f32::MIN;
|
||||
return Score::MIN;
|
||||
}
|
||||
}
|
||||
*heap.peek_mut().unwrap() = heap_item;
|
||||
heap.peek().map(|el| el.feature).unwrap_or(std::f32::MIN)
|
||||
heap.peek().map(|el| el.feature).unwrap_or(Score::MIN)
|
||||
})?;
|
||||
}
|
||||
|
||||
let fruit: Vec<(Score, DocAddress)> = heap
|
||||
let fruit = heap
|
||||
.into_sorted_vec()
|
||||
.into_iter()
|
||||
.map(|cid| (cid.feature, DocAddress(segment_ord, cid.doc)))
|
||||
@@ -561,7 +561,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"Hello happy tax payer."));
|
||||
index_writer.add_document(doc!(text_field=>"Droopy says hello happy tax payer"));
|
||||
index_writer.add_document(doc!(text_field=>"I like Droopy"));
|
||||
@@ -570,6 +570,13 @@ mod tests {
|
||||
index
|
||||
}
|
||||
|
||||
fn assert_results_equals(results: &[(Score, DocAddress)], expected: &[(Score, DocAddress)]) {
|
||||
for (result, expected) in results.iter().zip(expected.iter()) {
|
||||
assert_eq!(result.1, expected.1);
|
||||
crate::assert_nearly_equals!(result.0, expected.0);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_not_at_capacity() {
|
||||
let index = make_index();
|
||||
@@ -582,13 +589,13 @@ mod tests {
|
||||
.searcher()
|
||||
.search(&text_query, &TopDocs::with_limit(4))
|
||||
.unwrap();
|
||||
assert_eq!(
|
||||
score_docs,
|
||||
vec![
|
||||
assert_results_equals(
|
||||
&score_docs,
|
||||
&[
|
||||
(0.81221175, DocAddress(0u32, 1)),
|
||||
(0.5376842, DocAddress(0u32, 2)),
|
||||
(0.48527452, DocAddress(0, 0))
|
||||
]
|
||||
(0.48527452, DocAddress(0, 0)),
|
||||
],
|
||||
);
|
||||
}
|
||||
|
||||
@@ -604,7 +611,7 @@ mod tests {
|
||||
.searcher()
|
||||
.search(&text_query, &TopDocs::with_limit(4).and_offset(2))
|
||||
.unwrap();
|
||||
assert_eq!(score_docs, vec![(0.48527452, DocAddress(0, 0))]);
|
||||
assert_results_equals(&score_docs[..], &[(0.48527452, DocAddress(0, 0))]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -619,12 +626,12 @@ mod tests {
|
||||
.searcher()
|
||||
.search(&text_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
assert_eq!(
|
||||
score_docs,
|
||||
vec![
|
||||
assert_results_equals(
|
||||
&score_docs,
|
||||
&[
|
||||
(0.81221175, DocAddress(0u32, 1)),
|
||||
(0.5376842, DocAddress(0u32, 2)),
|
||||
]
|
||||
],
|
||||
);
|
||||
}
|
||||
|
||||
@@ -640,12 +647,12 @@ mod tests {
|
||||
.searcher()
|
||||
.search(&text_query, &TopDocs::with_limit(2).and_offset(1))
|
||||
.unwrap();
|
||||
assert_eq!(
|
||||
score_docs,
|
||||
vec![
|
||||
assert_results_equals(
|
||||
&score_docs[..],
|
||||
&[
|
||||
(0.5376842, DocAddress(0u32, 2)),
|
||||
(0.48527452, DocAddress(0, 0))
|
||||
]
|
||||
(0.48527452, DocAddress(0, 0)),
|
||||
],
|
||||
);
|
||||
}
|
||||
|
||||
@@ -706,8 +713,8 @@ mod tests {
|
||||
let top_collector = TopDocs::with_limit(4).order_by_u64_field(size);
|
||||
let top_docs: Vec<(u64, DocAddress)> = searcher.search(&query, &top_collector).unwrap();
|
||||
assert_eq!(
|
||||
top_docs,
|
||||
vec![
|
||||
&top_docs[..],
|
||||
&[
|
||||
(64, DocAddress(0, 1)),
|
||||
(16, DocAddress(0, 2)),
|
||||
(12, DocAddress(0, 0))
|
||||
@@ -814,7 +821,7 @@ mod tests {
|
||||
) -> (Index, Box<dyn Query>) {
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
doc_adder(&mut index_writer);
|
||||
index_writer.commit().unwrap();
|
||||
let query_parser = QueryParser::for_index(&index, vec![query_field]);
|
||||
|
||||
@@ -49,7 +49,7 @@ pub trait ScoreTweaker<TScore>: Sync {
|
||||
|
||||
impl<TScoreTweaker, TScore> Collector for TweakedScoreTopCollector<TScoreTweaker, TScore>
|
||||
where
|
||||
TScoreTweaker: ScoreTweaker<TScore>,
|
||||
TScoreTweaker: ScoreTweaker<TScore> + Send + Sync,
|
||||
TScore: 'static + PartialOrd + Clone + Send + Sync,
|
||||
{
|
||||
type Fruit = Vec<(TScore, DocAddress)>;
|
||||
|
||||
@@ -10,7 +10,9 @@ pub(crate) use self::bitset::TinySet;
|
||||
pub(crate) use self::composite_file::{CompositeFile, CompositeWrite};
|
||||
pub use self::counting_writer::CountingWriter;
|
||||
pub use self::serialize::{BinarySerializable, FixedSize};
|
||||
pub use self::vint::{read_u32_vint, serialize_vint_u32, write_u32_vint, VInt};
|
||||
pub use self::vint::{
|
||||
read_u32_vint, read_u32_vint_no_advance, serialize_vint_u32, write_u32_vint, VInt,
|
||||
};
|
||||
pub use byteorder::LittleEndian as Endianness;
|
||||
|
||||
/// Segment's max doc must be `< MAX_DOC_LIMIT`.
|
||||
|
||||
@@ -10,7 +10,7 @@ pub struct VInt(pub u64);
|
||||
|
||||
const STOP_BIT: u8 = 128;
|
||||
|
||||
pub fn serialize_vint_u32(val: u32) -> (u64, usize) {
|
||||
pub fn serialize_vint_u32(val: u32, buf: &mut [u8; 8]) -> &[u8] {
|
||||
const START_2: u64 = 1 << 7;
|
||||
const START_3: u64 = 1 << 14;
|
||||
const START_4: u64 = 1 << 21;
|
||||
@@ -29,7 +29,7 @@ pub fn serialize_vint_u32(val: u32) -> (u64, usize) {
|
||||
|
||||
let val = u64::from(val);
|
||||
const STOP_BIT: u64 = 128u64;
|
||||
match val {
|
||||
let (res, num_bytes) = match val {
|
||||
0..=STOP_1 => (val | STOP_BIT, 1),
|
||||
START_2..=STOP_2 => (
|
||||
(val & MASK_1) | ((val & MASK_2) << 1) | (STOP_BIT << (8)),
|
||||
@@ -56,7 +56,9 @@ pub fn serialize_vint_u32(val: u32) -> (u64, usize) {
|
||||
| (STOP_BIT << (8 * 4)),
|
||||
5,
|
||||
),
|
||||
}
|
||||
};
|
||||
LittleEndian::write_u64(&mut buf[..], res);
|
||||
&buf[0..num_bytes]
|
||||
}
|
||||
|
||||
/// Returns the number of bytes covered by a
|
||||
@@ -85,23 +87,26 @@ fn vint_len(data: &[u8]) -> usize {
|
||||
/// If the buffer does not start by a valid
|
||||
/// vint payload
|
||||
pub fn read_u32_vint(data: &mut &[u8]) -> u32 {
|
||||
let vlen = vint_len(*data);
|
||||
let (result, vlen) = read_u32_vint_no_advance(*data);
|
||||
*data = &data[vlen..];
|
||||
result
|
||||
}
|
||||
|
||||
pub fn read_u32_vint_no_advance(data: &[u8]) -> (u32, usize) {
|
||||
let vlen = vint_len(data);
|
||||
let mut result = 0u32;
|
||||
let mut shift = 0u64;
|
||||
for &b in &data[..vlen] {
|
||||
result |= u32::from(b & 127u8) << shift;
|
||||
shift += 7;
|
||||
}
|
||||
*data = &data[vlen..];
|
||||
result
|
||||
(result, vlen)
|
||||
}
|
||||
|
||||
/// Write a `u32` as a vint payload.
|
||||
pub fn write_u32_vint<W: io::Write>(val: u32, writer: &mut W) -> io::Result<()> {
|
||||
let (val, num_bytes) = serialize_vint_u32(val);
|
||||
let mut buffer = [0u8; 8];
|
||||
LittleEndian::write_u64(&mut buffer, val);
|
||||
writer.write_all(&buffer[..num_bytes])
|
||||
let mut buf = [0u8; 8];
|
||||
let data = serialize_vint_u32(val, &mut buf);
|
||||
writer.write_all(&data)
|
||||
}
|
||||
|
||||
impl VInt {
|
||||
@@ -172,7 +177,6 @@ mod tests {
|
||||
use super::serialize_vint_u32;
|
||||
use super::VInt;
|
||||
use crate::common::BinarySerializable;
|
||||
use byteorder::{ByteOrder, LittleEndian};
|
||||
|
||||
fn aux_test_vint(val: u64) {
|
||||
let mut v = [14u8; 10];
|
||||
@@ -208,12 +212,10 @@ mod tests {
|
||||
|
||||
fn aux_test_serialize_vint_u32(val: u32) {
|
||||
let mut buffer = [0u8; 10];
|
||||
let mut buffer2 = [0u8; 10];
|
||||
let mut buffer2 = [0u8; 8];
|
||||
let len_vint = VInt(val as u64).serialize_into(&mut buffer);
|
||||
let (vint, len) = serialize_vint_u32(val);
|
||||
assert_eq!(len, len_vint, "len wrong for val {}", val);
|
||||
LittleEndian::write_u64(&mut buffer2, vint);
|
||||
assert_eq!(&buffer[..len], &buffer2[..len], "array wrong for {}", val);
|
||||
let res2 = serialize_vint_u32(val, &mut buffer2);
|
||||
assert_eq!(&buffer[..len_vint], res2, "array wrong for {}", val);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -300,6 +300,15 @@ impl Index {
|
||||
)
|
||||
}
|
||||
|
||||
/// Helper to create an index writer for tests.
|
||||
///
|
||||
/// That index writer only simply has a single thread and a heap of 5 MB.
|
||||
/// Using a single thread gives us a deterministic allocation of DocId.
|
||||
#[cfg(test)]
|
||||
pub fn writer_for_tests(&self) -> crate::Result<IndexWriter> {
|
||||
self.writer_with_num_threads(1, 10_000_000)
|
||||
}
|
||||
|
||||
/// Creates a multithreaded writer
|
||||
///
|
||||
/// Tantivy will automatically define the number of threads to use.
|
||||
@@ -502,7 +511,7 @@ mod tests {
|
||||
let schema = throw_away_schema();
|
||||
let field = schema.get_field("num_likes").unwrap();
|
||||
let mut index = Index::create_from_tempdir(schema).unwrap();
|
||||
let mut writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut writer = index.writer_for_tests().unwrap();
|
||||
writer.commit().unwrap();
|
||||
let reader = index
|
||||
.reader_builder()
|
||||
@@ -539,23 +548,33 @@ 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();
|
||||
let _watch_handle = reader_index.directory_mut().watch(Box::new(move || {
|
||||
let _ = sender.send(());
|
||||
}));
|
||||
let mut writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut writer = index.writer_for_tests().unwrap();
|
||||
assert_eq!(reader.searcher().num_docs(), 0);
|
||||
writer.add_document(doc!(field=>1u64));
|
||||
writer.commit().unwrap();
|
||||
assert!(receiver.recv().is_ok());
|
||||
assert_eq!(reader.searcher().num_docs(), 1);
|
||||
// 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;
|
||||
}
|
||||
}
|
||||
writer.add_document(doc!(field=>2u64));
|
||||
writer.commit().unwrap();
|
||||
assert!(receiver.recv().is_ok());
|
||||
assert_eq!(reader.searcher().num_docs(), 2);
|
||||
// ... Same as above
|
||||
loop {
|
||||
assert!(receiver.recv().is_ok());
|
||||
if reader.searcher().num_docs() == 2 {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// This test will not pass on windows, because windows
|
||||
|
||||
@@ -116,6 +116,7 @@ impl SegmentMeta {
|
||||
SegmentComponent::FASTFIELDS => ".fast".to_string(),
|
||||
SegmentComponent::FIELDNORMS => ".fieldnorm".to_string(),
|
||||
SegmentComponent::DELETE => format!(".{}.del", self.delete_opstamp().unwrap_or(0)),
|
||||
SegmentComponent::FIELDSTATS => ".fieldstats".to_string(),
|
||||
});
|
||||
PathBuf::from(path)
|
||||
}
|
||||
|
||||
@@ -1,9 +1,7 @@
|
||||
use crate::common::BinarySerializable;
|
||||
use crate::directory::ReadOnlySource;
|
||||
use crate::positions::PositionReader;
|
||||
use crate::postings::TermInfo;
|
||||
use crate::postings::{BlockSegmentPostings, SegmentPostings};
|
||||
use crate::schema::FieldType;
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::schema::Term;
|
||||
use crate::termdict::TermDictionary;
|
||||
@@ -37,14 +35,12 @@ impl InvertedIndexReader {
|
||||
postings_source: ReadOnlySource,
|
||||
positions_source: ReadOnlySource,
|
||||
positions_idx_source: ReadOnlySource,
|
||||
total_num_tokens: u64,
|
||||
record_option: IndexRecordOption,
|
||||
) -> InvertedIndexReader {
|
||||
let total_num_tokens_data = postings_source.slice(0, 8);
|
||||
let mut total_num_tokens_cursor = total_num_tokens_data.as_slice();
|
||||
let total_num_tokens = u64::deserialize(&mut total_num_tokens_cursor).unwrap_or(0u64);
|
||||
InvertedIndexReader {
|
||||
termdict,
|
||||
postings_source: postings_source.slice_from(8),
|
||||
postings_source,
|
||||
positions_source,
|
||||
positions_idx_source,
|
||||
record_option,
|
||||
@@ -54,10 +50,7 @@ impl InvertedIndexReader {
|
||||
|
||||
/// Creates an empty `InvertedIndexReader` object, which
|
||||
/// contains no terms at all.
|
||||
pub fn empty(field_type: &FieldType) -> InvertedIndexReader {
|
||||
let record_option = field_type
|
||||
.get_index_record_option()
|
||||
.unwrap_or(IndexRecordOption::Basic);
|
||||
pub fn empty(record_option: IndexRecordOption) -> InvertedIndexReader {
|
||||
InvertedIndexReader {
|
||||
termdict: TermDictionary::empty(),
|
||||
postings_source: ReadOnlySource::empty(),
|
||||
@@ -93,7 +86,7 @@ impl InvertedIndexReader {
|
||||
term_info: &TermInfo,
|
||||
block_postings: &mut BlockSegmentPostings,
|
||||
) {
|
||||
let offset = term_info.postings_offset as usize;
|
||||
let offset = term_info.postings_start_offset as usize;
|
||||
let end_source = self.postings_source.len();
|
||||
let postings_slice = self.postings_source.slice(offset, end_source);
|
||||
block_postings.reset(term_info.doc_freq, postings_slice);
|
||||
@@ -121,8 +114,10 @@ impl InvertedIndexReader {
|
||||
term_info: &TermInfo,
|
||||
requested_option: IndexRecordOption,
|
||||
) -> BlockSegmentPostings {
|
||||
let offset = term_info.postings_offset as usize;
|
||||
let postings_data = self.postings_source.slice_from(offset);
|
||||
let postings_data = self.postings_source.slice(
|
||||
term_info.postings_start_offset as usize,
|
||||
term_info.postings_end_offset as usize,
|
||||
);
|
||||
BlockSegmentPostings::from_data(
|
||||
term_info.doc_freq,
|
||||
postings_data,
|
||||
|
||||
@@ -24,14 +24,17 @@ pub enum SegmentComponent {
|
||||
/// Accessing a document from the store is relatively slow, as it
|
||||
/// requires to decompress the entire block it belongs to.
|
||||
STORE,
|
||||
|
||||
/// Bitset describing which document of the segment is deleted.
|
||||
DELETE,
|
||||
|
||||
FIELDSTATS,
|
||||
}
|
||||
|
||||
impl SegmentComponent {
|
||||
/// Iterates through the components.
|
||||
pub fn iterator() -> slice::Iter<'static, SegmentComponent> {
|
||||
static SEGMENT_COMPONENTS: [SegmentComponent; 8] = [
|
||||
static SEGMENT_COMPONENTS: [SegmentComponent; 9] = [
|
||||
SegmentComponent::POSTINGS,
|
||||
SegmentComponent::POSITIONS,
|
||||
SegmentComponent::POSITIONSSKIP,
|
||||
@@ -40,6 +43,7 @@ impl SegmentComponent {
|
||||
SegmentComponent::TERMS,
|
||||
SegmentComponent::STORE,
|
||||
SegmentComponent::DELETE,
|
||||
SegmentComponent::FIELDSTATS,
|
||||
];
|
||||
SEGMENT_COMPONENTS.iter()
|
||||
}
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use crate::common::CompositeFile;
|
||||
use crate::common::HasLen;
|
||||
use crate::core::InvertedIndexReader;
|
||||
use crate::core::Segment;
|
||||
@@ -9,13 +8,14 @@ use crate::fastfield::DeleteBitSet;
|
||||
use crate::fastfield::FacetReader;
|
||||
use crate::fastfield::FastFieldReaders;
|
||||
use crate::fieldnorm::{FieldNormReader, FieldNormReaders};
|
||||
use crate::schema::Field;
|
||||
use crate::schema::FieldType;
|
||||
use crate::schema::Schema;
|
||||
use crate::schema::{Field, IndexRecordOption};
|
||||
use crate::space_usage::SegmentSpaceUsage;
|
||||
use crate::store::StoreReader;
|
||||
use crate::termdict::TermDictionary;
|
||||
use crate::DocId;
|
||||
use crate::{common::CompositeFile, postings::FieldStats};
|
||||
use fail::fail_point;
|
||||
use std::collections::HashMap;
|
||||
use std::fmt;
|
||||
@@ -49,6 +49,7 @@ pub struct SegmentReader {
|
||||
positions_idx_composite: CompositeFile,
|
||||
fast_fields_readers: Arc<FastFieldReaders>,
|
||||
fieldnorm_readers: FieldNormReaders,
|
||||
field_stats: FieldStats,
|
||||
|
||||
store_source: ReadOnlySource,
|
||||
delete_bitset_opt: Option<DeleteBitSet>,
|
||||
@@ -125,17 +126,15 @@ impl SegmentReader {
|
||||
///
|
||||
/// They are simply stored as a fast field, serialized in
|
||||
/// the `.fieldnorm` file of the segment.
|
||||
pub fn get_fieldnorms_reader(&self, field: Field) -> FieldNormReader {
|
||||
if let Some(fieldnorm_source) = self.fieldnorm_readers.get_field(field) {
|
||||
fieldnorm_source
|
||||
} else {
|
||||
pub fn get_fieldnorms_reader(&self, field: Field) -> crate::Result<FieldNormReader> {
|
||||
self.fieldnorm_readers.get_field(field).ok_or_else(|| {
|
||||
let field_name = self.schema.get_field_name(field);
|
||||
let err_msg = format!(
|
||||
"Field norm not found for field {:?}. Was it market as indexed during indexing.",
|
||||
field_name
|
||||
);
|
||||
panic!(err_msg);
|
||||
}
|
||||
crate::TantivyError::SchemaError(err_msg)
|
||||
})
|
||||
}
|
||||
|
||||
/// Accessor to the segment's `StoreReader`.
|
||||
@@ -179,7 +178,10 @@ impl SegmentReader {
|
||||
Arc::new(FastFieldReaders::load_all(&schema, &fast_fields_composite)?);
|
||||
|
||||
let fieldnorm_data = segment.open_read(SegmentComponent::FIELDNORMS)?;
|
||||
let fieldnorm_readers = FieldNormReaders::new(fieldnorm_data)?;
|
||||
let fieldnorm_readers = FieldNormReaders::open(fieldnorm_data)?;
|
||||
|
||||
let field_stats_data = segment.open_read(SegmentComponent::FIELDSTATS)?;
|
||||
let field_stats = FieldStats::from_source(field_stats_data.as_slice())?;
|
||||
|
||||
let delete_bitset_opt = if segment.meta().has_deletes() {
|
||||
let delete_data = segment.open_read(SegmentComponent::DELETE)?;
|
||||
@@ -196,6 +198,7 @@ impl SegmentReader {
|
||||
postings_composite,
|
||||
fast_fields_readers: fast_field_readers,
|
||||
fieldnorm_readers,
|
||||
field_stats,
|
||||
segment_id: segment.id(),
|
||||
store_source,
|
||||
delete_bitset_opt,
|
||||
@@ -212,6 +215,11 @@ impl SegmentReader {
|
||||
/// The field reader is in charge of iterating through the
|
||||
/// term dictionary associated to a specific field,
|
||||
/// and opening the posting list associated to any term.
|
||||
///
|
||||
/// If the field is marked as index, a warn is logged and an empty `InvertedIndexReader`
|
||||
/// is returned.
|
||||
/// Similarly if the field is marked as indexed but no term has been indexed for the given
|
||||
/// index. an empty `InvertedIndexReader` is returned (but no warning is logged).
|
||||
pub fn inverted_index(&self, field: Field) -> Arc<InvertedIndexReader> {
|
||||
if let Some(inv_idx_reader) = self
|
||||
.inv_idx_reader_cache
|
||||
@@ -226,21 +234,21 @@ impl SegmentReader {
|
||||
let record_option_opt = field_type.get_index_record_option();
|
||||
|
||||
if record_option_opt.is_none() {
|
||||
panic!("Field {:?} does not seem indexed.", field_entry.name());
|
||||
warn!("Field {:?} does not seem indexed.", field_entry.name());
|
||||
}
|
||||
|
||||
let record_option = record_option_opt.unwrap();
|
||||
|
||||
let postings_source_opt = self.postings_composite.open_read(field);
|
||||
|
||||
if postings_source_opt.is_none() {
|
||||
if postings_source_opt.is_none() || record_option_opt.is_none() {
|
||||
// no documents in the segment contained this field.
|
||||
// As a result, no data is associated to the inverted index.
|
||||
//
|
||||
// Returns an empty inverted index.
|
||||
return Arc::new(InvertedIndexReader::empty(field_type));
|
||||
let record_option = record_option_opt.unwrap_or(IndexRecordOption::Basic);
|
||||
return Arc::new(InvertedIndexReader::empty(record_option));
|
||||
}
|
||||
|
||||
let record_option = record_option_opt.unwrap();
|
||||
let postings_source = postings_source_opt.unwrap();
|
||||
|
||||
let termdict_source = self.termdict_composite.open_read(field).expect(
|
||||
@@ -257,11 +265,17 @@ impl SegmentReader {
|
||||
.open_read(field)
|
||||
.expect("Index corrupted. Failed to open field positions in composite file.");
|
||||
|
||||
let total_num_tokens = self
|
||||
.field_stats
|
||||
.get(field)
|
||||
.map(|field_stat| field_stat.num_tokens())
|
||||
.unwrap_or(0u64);
|
||||
let inv_idx_reader = Arc::new(InvertedIndexReader::new(
|
||||
TermDictionary::from_source(&termdict_source),
|
||||
postings_source,
|
||||
positions_source,
|
||||
positions_idx_source,
|
||||
total_num_tokens,
|
||||
record_option,
|
||||
));
|
||||
|
||||
@@ -339,7 +353,7 @@ mod test {
|
||||
let name = schema.get_field("name").unwrap();
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(name => "tantivy"));
|
||||
index_writer.add_document(doc!(name => "horse"));
|
||||
index_writer.add_document(doc!(name => "jockey"));
|
||||
|
||||
@@ -183,23 +183,23 @@ impl BinarySerializable for VersionedFooter {
|
||||
reader.read_exact(&mut buf[..])?;
|
||||
let mut cursor = &buf[..];
|
||||
let version = u32::deserialize(&mut cursor)?;
|
||||
if version == 1 {
|
||||
let crc32 = u32::deserialize(&mut cursor)?;
|
||||
let store_compression = String::deserialize(&mut cursor)?;
|
||||
Ok(VersionedFooter::V1 {
|
||||
crc32,
|
||||
store_compression,
|
||||
})
|
||||
} else if version == 2 {
|
||||
let crc32 = u32::deserialize(&mut cursor)?;
|
||||
let store_compression = String::deserialize(&mut cursor)?;
|
||||
Ok(VersionedFooter::V2 {
|
||||
crc32,
|
||||
store_compression,
|
||||
})
|
||||
} else {
|
||||
Ok(VersionedFooter::UnknownVersion)
|
||||
if version != 1 && version != 2 {
|
||||
return Ok(VersionedFooter::UnknownVersion);
|
||||
}
|
||||
let crc32 = u32::deserialize(&mut cursor)?;
|
||||
let store_compression = String::deserialize(&mut cursor)?;
|
||||
Ok(if version == 1 {
|
||||
VersionedFooter::V1 {
|
||||
crc32,
|
||||
store_compression,
|
||||
}
|
||||
} else {
|
||||
assert_eq!(version, 2);
|
||||
VersionedFooter::V2 {
|
||||
crc32,
|
||||
store_compression,
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -271,7 +271,11 @@ mod tests {
|
||||
let mut vec = Vec::new();
|
||||
let footer_proxy = FooterProxy::new(&mut vec);
|
||||
assert!(footer_proxy.terminate().is_ok());
|
||||
assert_eq!(vec.len(), 167);
|
||||
if crate::store::COMPRESSION == "lz4" {
|
||||
assert_eq!(vec.len(), 158);
|
||||
} else {
|
||||
assert_eq!(vec.len(), 167);
|
||||
}
|
||||
let footer = Footer::deserialize(&mut &vec[..]).unwrap();
|
||||
assert!(matches!(
|
||||
footer.versioned_footer,
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use crate::core::MANAGED_FILEPATH;
|
||||
use crate::core::{MANAGED_FILEPATH, META_FILEPATH};
|
||||
use crate::directory::error::{DeleteError, IOError, LockError, OpenReadError, OpenWriteError};
|
||||
use crate::directory::footer::{Footer, FooterProxy};
|
||||
use crate::directory::DirectoryLock;
|
||||
@@ -246,13 +246,15 @@ impl ManagedDirectory {
|
||||
/// List files for which checksum does not match content
|
||||
pub fn list_damaged(&self) -> result::Result<HashSet<PathBuf>, OpenReadError> {
|
||||
let mut hashset = HashSet::new();
|
||||
let managed_paths = self
|
||||
let mut managed_paths = self
|
||||
.meta_informations
|
||||
.read()
|
||||
.expect("Managed directory rlock poisoned in list damaged.")
|
||||
.managed_paths
|
||||
.clone();
|
||||
|
||||
managed_paths.remove(*META_FILEPATH);
|
||||
|
||||
for path in managed_paths.into_iter() {
|
||||
if !self.validate_checksum(&path)? {
|
||||
hashset.insert(path);
|
||||
|
||||
@@ -487,11 +487,13 @@ impl Directory for MmapDirectory {
|
||||
}
|
||||
}
|
||||
|
||||
fn atomic_write(&mut self, path: &Path, data: &[u8]) -> io::Result<()> {
|
||||
fn atomic_write(&mut self, path: &Path, content: &[u8]) -> io::Result<()> {
|
||||
debug!("Atomic Write {:?}", path);
|
||||
let mut tempfile = tempfile::Builder::new().tempfile_in(&self.inner.root_path)?;
|
||||
tempfile.write_all(content)?;
|
||||
tempfile.flush()?;
|
||||
let full_path = self.resolve_path(path);
|
||||
let meta_file = atomicwrites::AtomicFile::new(full_path, atomicwrites::AllowOverwrite);
|
||||
meta_file.write(|f| f.write_all(data))?;
|
||||
tempfile.into_temp_path().persist(full_path)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -652,7 +654,7 @@ mod tests {
|
||||
{
|
||||
let index = Index::create(mmap_directory.clone(), schema).unwrap();
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let mut log_merge_policy = LogMergePolicy::default();
|
||||
log_merge_policy.set_min_merge_size(3);
|
||||
index_writer.set_merge_policy(Box::new(log_merge_policy));
|
||||
|
||||
@@ -211,19 +211,19 @@ fn test_watch(directory: &mut dyn Directory) {
|
||||
.unwrap();
|
||||
|
||||
for i in 0..10 {
|
||||
assert_eq!(i, counter.load(SeqCst));
|
||||
assert!(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_eq!(i + 1, counter.load(SeqCst));
|
||||
assert!(i + 1 <= counter.load(SeqCst)); // notify can trigger more than once.
|
||||
}
|
||||
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_eq!(10, counter.load(SeqCst));
|
||||
assert!(10 <= counter.load(SeqCst));
|
||||
}
|
||||
|
||||
fn test_lock_non_blocking(directory: &mut dyn Directory) {
|
||||
|
||||
@@ -5,7 +5,7 @@ use std::sync::RwLock;
|
||||
use std::sync::Weak;
|
||||
|
||||
/// Type alias for callbacks registered when watching files of a `Directory`.
|
||||
pub type WatchCallback = Box<dyn Fn() -> () + Sync + Send>;
|
||||
pub type WatchCallback = Box<dyn Fn() + Sync + Send>;
|
||||
|
||||
/// Helper struct to implement the watch method in `Directory` implementations.
|
||||
///
|
||||
@@ -32,7 +32,7 @@ impl WatchHandle {
|
||||
}
|
||||
|
||||
impl WatchCallbackList {
|
||||
/// Suscribes a new callback and returns a handle that controls the lifetime of the callback.
|
||||
/// Subscribes a new callback and returns a handle that controls the lifetime of the callback.
|
||||
pub fn subscribe(&self, watch_callback: WatchCallback) -> WatchHandle {
|
||||
let watch_callback_arc = Arc::new(watch_callback);
|
||||
let watch_callback_weak = Arc::downgrade(&watch_callback_arc);
|
||||
|
||||
@@ -15,7 +15,7 @@ mod tests {
|
||||
let field = schema_builder.add_bytes_field("bytesfield");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(field=>vec![0u8, 1, 2, 3]));
|
||||
index_writer.add_document(doc!(field=>vec![]));
|
||||
index_writer.add_document(doc!(field=>vec![255u8]));
|
||||
|
||||
@@ -9,6 +9,8 @@ use std::io::Write;
|
||||
/// Write a delete `BitSet`
|
||||
///
|
||||
/// where `delete_bitset` is the set of deleted `DocId`.
|
||||
/// Warning: this function does not call terminate. The caller is in charge of
|
||||
/// closing the writer properly.
|
||||
pub fn write_delete_bitset(
|
||||
delete_bitset: &BitSet,
|
||||
max_doc: u32,
|
||||
@@ -42,6 +44,24 @@ pub struct DeleteBitSet {
|
||||
}
|
||||
|
||||
impl DeleteBitSet {
|
||||
#[cfg(test)]
|
||||
pub(crate) fn for_test(docs: &[DocId], max_doc: u32) -> DeleteBitSet {
|
||||
use crate::directory::{Directory, RAMDirectory, TerminatingWrite};
|
||||
use std::path::Path;
|
||||
assert!(docs.iter().all(|&doc| doc < max_doc));
|
||||
let mut bitset = BitSet::with_max_value(max_doc);
|
||||
for &doc in docs {
|
||||
bitset.insert(doc);
|
||||
}
|
||||
let mut directory = RAMDirectory::create();
|
||||
let path = Path::new("dummydeletebitset");
|
||||
let mut wrt = directory.open_write(path).unwrap();
|
||||
write_delete_bitset(&bitset, max_doc, &mut wrt).unwrap();
|
||||
wrt.terminate().unwrap();
|
||||
let source = directory.open_read(path).unwrap();
|
||||
Self::open(source)
|
||||
}
|
||||
|
||||
/// Opens a delete bitset given its data source.
|
||||
pub fn open(data: ReadOnlySource) -> DeleteBitSet {
|
||||
let num_deleted: usize = data
|
||||
@@ -83,42 +103,35 @@ impl HasLen for DeleteBitSet {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::directory::*;
|
||||
use std::path::PathBuf;
|
||||
use super::DeleteBitSet;
|
||||
use crate::common::HasLen;
|
||||
|
||||
fn test_delete_bitset_helper(bitset: &BitSet, max_doc: u32) {
|
||||
let test_path = PathBuf::from("test");
|
||||
let mut directory = RAMDirectory::create();
|
||||
{
|
||||
let mut writer = directory.open_write(&*test_path).unwrap();
|
||||
write_delete_bitset(bitset, max_doc, &mut writer).unwrap();
|
||||
writer.terminate().unwrap();
|
||||
#[test]
|
||||
fn test_delete_bitset_empty() {
|
||||
let delete_bitset = DeleteBitSet::for_test(&[], 10);
|
||||
for doc in 0..10 {
|
||||
assert_eq!(delete_bitset.is_deleted(doc), !delete_bitset.is_alive(doc));
|
||||
}
|
||||
let source = directory.open_read(&test_path).unwrap();
|
||||
let delete_bitset = DeleteBitSet::open(source);
|
||||
for doc in 0..max_doc {
|
||||
assert_eq!(bitset.contains(doc), delete_bitset.is_deleted(doc as DocId));
|
||||
}
|
||||
assert_eq!(delete_bitset.len(), bitset.len());
|
||||
assert_eq!(delete_bitset.len(), 0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_delete_bitset() {
|
||||
{
|
||||
let mut bitset = BitSet::with_max_value(10);
|
||||
bitset.insert(1);
|
||||
bitset.insert(9);
|
||||
test_delete_bitset_helper(&bitset, 10);
|
||||
}
|
||||
{
|
||||
let mut bitset = BitSet::with_max_value(8);
|
||||
bitset.insert(1);
|
||||
bitset.insert(2);
|
||||
bitset.insert(3);
|
||||
bitset.insert(5);
|
||||
bitset.insert(7);
|
||||
test_delete_bitset_helper(&bitset, 8);
|
||||
let delete_bitset = DeleteBitSet::for_test(&[1, 9], 10);
|
||||
assert!(delete_bitset.is_alive(0));
|
||||
assert!(delete_bitset.is_deleted(1));
|
||||
assert!(delete_bitset.is_alive(2));
|
||||
assert!(delete_bitset.is_alive(3));
|
||||
assert!(delete_bitset.is_alive(4));
|
||||
assert!(delete_bitset.is_alive(5));
|
||||
assert!(delete_bitset.is_alive(6));
|
||||
assert!(delete_bitset.is_alive(6));
|
||||
assert!(delete_bitset.is_alive(7));
|
||||
assert!(delete_bitset.is_alive(8));
|
||||
assert!(delete_bitset.is_deleted(9));
|
||||
for doc in 0..10 {
|
||||
assert_eq!(delete_bitset.is_deleted(doc), !delete_bitset.is_alive(doc));
|
||||
}
|
||||
assert_eq!(delete_bitset.len(), 2);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -474,7 +474,7 @@ mod tests {
|
||||
let date_field = schema_builder.add_date_field("date", FAST);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.set_merge_policy(Box::new(NoMergePolicy));
|
||||
index_writer.add_document(doc!(date_field =>crate::chrono::prelude::Utc::now()));
|
||||
index_writer.commit().unwrap();
|
||||
@@ -511,7 +511,7 @@ mod tests {
|
||||
);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.set_merge_policy(Box::new(NoMergePolicy));
|
||||
index_writer.add_document(doc!(
|
||||
date_field => crate::DateTime::from_u64(1i64.to_u64()),
|
||||
|
||||
@@ -25,7 +25,7 @@ mod tests {
|
||||
);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(field=>1u64, field=>3u64));
|
||||
index_writer.add_document(doc!());
|
||||
index_writer.add_document(doc!(field=>4u64));
|
||||
@@ -64,7 +64,7 @@ mod tests {
|
||||
schema_builder.add_i64_field("time_stamp_i", IntOptions::default().set_stored());
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let first_time_stamp = chrono::Utc::now();
|
||||
index_writer.add_document(
|
||||
doc!(date_field=>first_time_stamp, date_field=>first_time_stamp, time_i=>1i64),
|
||||
@@ -186,7 +186,7 @@ mod tests {
|
||||
);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(field=> 1i64, field => 3i64));
|
||||
index_writer.add_document(doc!());
|
||||
index_writer.add_document(doc!(field=> -4i64));
|
||||
@@ -221,7 +221,7 @@ mod tests {
|
||||
let field = schema_builder.add_facet_field("facetfield");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for i in 0..100_000 {
|
||||
index_writer.add_document(doc!(field=> Facet::from(format!("/lang/{}", i).as_str())));
|
||||
}
|
||||
|
||||
@@ -74,7 +74,7 @@ mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index
|
||||
.writer_with_num_threads(1, 30_000_000)
|
||||
.writer_for_tests()
|
||||
.expect("Failed to create index writer.");
|
||||
index_writer.add_document(doc!(
|
||||
facet_field => Facet::from("/category/cat2"),
|
||||
|
||||
@@ -19,7 +19,7 @@ pub struct FieldNormReaders {
|
||||
|
||||
impl FieldNormReaders {
|
||||
/// Creates a field norm reader.
|
||||
pub fn new(source: ReadOnlySource) -> crate::Result<FieldNormReaders> {
|
||||
pub fn open(source: ReadOnlySource) -> crate::Result<FieldNormReaders> {
|
||||
let data = CompositeFile::open(&source)?;
|
||||
Ok(FieldNormReaders {
|
||||
data: Arc::new(data),
|
||||
@@ -103,11 +103,9 @@ impl FieldNormReader {
|
||||
pub fn fieldnorm_to_id(fieldnorm: u32) -> u8 {
|
||||
fieldnorm_to_id(fieldnorm)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
impl From<&[u32]> for FieldNormReader {
|
||||
fn from(field_norms: &[u32]) -> FieldNormReader {
|
||||
#[cfg(test)]
|
||||
pub fn for_test(field_norms: &[u32]) -> FieldNormReader {
|
||||
let field_norms_id = field_norms
|
||||
.iter()
|
||||
.cloned()
|
||||
@@ -119,3 +117,20 @@ impl From<&[u32]> for FieldNormReader {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate::fieldnorm::FieldNormReader;
|
||||
|
||||
#[test]
|
||||
fn test_from_fieldnorms_array() {
|
||||
let fieldnorms = &[1, 2, 3, 4, 1_000_000];
|
||||
let fieldnorm_reader = FieldNormReader::for_test(fieldnorms);
|
||||
assert_eq!(fieldnorm_reader.num_docs(), 5);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(0), 1);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(1), 2);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(2), 3);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(3), 4);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(4), 983_064);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -536,6 +536,7 @@ impl IndexWriter {
|
||||
/// when no documents are remaining.
|
||||
///
|
||||
/// Returns the former segment_ready channel.
|
||||
#[allow(unused_must_use)]
|
||||
fn recreate_document_channel(&mut self) -> OperationReceiver {
|
||||
let (document_sender, document_receiver): (OperationSender, OperationReceiver) =
|
||||
channel::bounded(PIPELINE_MAX_SIZE_IN_DOCS);
|
||||
@@ -575,7 +576,7 @@ impl IndexWriter {
|
||||
//
|
||||
// This will drop the document queue, and the thread
|
||||
// should terminate.
|
||||
mem::replace(self, new_index_writer);
|
||||
*self = new_index_writer;
|
||||
|
||||
// Drains the document receiver pipeline :
|
||||
// Workers don't need to index the pending documents.
|
||||
@@ -799,7 +800,7 @@ mod tests {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let index_writer = index.writer_for_tests().unwrap();
|
||||
let operations = vec![
|
||||
UserOperation::Add(doc!(text_field=>"a")),
|
||||
UserOperation::Add(doc!(text_field=>"b")),
|
||||
@@ -814,7 +815,7 @@ mod tests {
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field => "hello1"));
|
||||
index_writer.add_document(doc!(text_field => "hello2"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
@@ -863,7 +864,7 @@ mod tests {
|
||||
.reload_policy(ReloadPolicy::Manual)
|
||||
.try_into()
|
||||
.unwrap();
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let a_term = Term::from_field_text(text_field, "a");
|
||||
let b_term = Term::from_field_text(text_field, "b");
|
||||
let operations = vec![
|
||||
@@ -925,8 +926,8 @@ mod tests {
|
||||
fn test_lockfile_already_exists_error_msg() {
|
||||
let schema_builder = schema::Schema::builder();
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let _index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
match index.writer_with_num_threads(1, 3_000_000) {
|
||||
let _index_writer = index.writer_for_tests().unwrap();
|
||||
match index.writer_for_tests() {
|
||||
Err(err) => {
|
||||
let err_msg = err.to_string();
|
||||
assert!(err_msg.contains("already an `IndexWriter`"));
|
||||
@@ -1260,7 +1261,7 @@ mod tests {
|
||||
let idfield = schema_builder.add_text_field("id", STRING);
|
||||
schema_builder.add_text_field("optfield", STRING);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(idfield=>"myid"));
|
||||
let commit = index_writer.commit();
|
||||
assert!(commit.is_ok());
|
||||
|
||||
@@ -12,26 +12,27 @@ use crate::fieldnorm::FieldNormsSerializer;
|
||||
use crate::fieldnorm::FieldNormsWriter;
|
||||
use crate::fieldnorm::{FieldNormReader, FieldNormReaders};
|
||||
use crate::indexer::SegmentSerializer;
|
||||
use crate::postings::InvertedIndexSerializer;
|
||||
use crate::postings::Postings;
|
||||
use crate::postings::{InvertedIndexSerializer, SegmentPostings};
|
||||
use crate::schema::Cardinality;
|
||||
use crate::schema::FieldType;
|
||||
use crate::schema::{Field, Schema};
|
||||
use crate::store::StoreWriter;
|
||||
use crate::termdict::TermMerger;
|
||||
use crate::termdict::TermOrdinal;
|
||||
use crate::{DocId, SegmentComponent};
|
||||
use crate::{DocId, InvertedIndexReader, SegmentComponent};
|
||||
use std::cmp;
|
||||
use std::collections::HashMap;
|
||||
use std::sync::Arc;
|
||||
|
||||
fn compute_total_num_tokens(readers: &[SegmentReader], field: Field) -> u64 {
|
||||
fn compute_total_num_tokens(readers: &[SegmentReader], field: Field) -> crate::Result<u64> {
|
||||
let mut total_tokens = 0u64;
|
||||
let mut count: [usize; 256] = [0; 256];
|
||||
for reader in readers {
|
||||
if reader.has_deletes() {
|
||||
// if there are deletes, then we use an approximation
|
||||
// using the fieldnorm
|
||||
let fieldnorms_reader = reader.get_fieldnorms_reader(field);
|
||||
let fieldnorms_reader = reader.get_fieldnorms_reader(field)?;
|
||||
for doc in reader.doc_ids_alive() {
|
||||
let fieldnorm_id = fieldnorms_reader.fieldnorm_id(doc);
|
||||
count[fieldnorm_id as usize] += 1;
|
||||
@@ -40,7 +41,7 @@ fn compute_total_num_tokens(readers: &[SegmentReader], field: Field) -> u64 {
|
||||
total_tokens += reader.inverted_index(field).total_num_tokens();
|
||||
}
|
||||
}
|
||||
total_tokens
|
||||
Ok(total_tokens
|
||||
+ count
|
||||
.iter()
|
||||
.cloned()
|
||||
@@ -48,7 +49,7 @@ fn compute_total_num_tokens(readers: &[SegmentReader], field: Field) -> u64 {
|
||||
.map(|(fieldnorm_ord, count)| {
|
||||
count as u64 * u64::from(FieldNormReader::id_to_fieldnorm(fieldnorm_ord as u8))
|
||||
})
|
||||
.sum::<u64>()
|
||||
.sum::<u64>())
|
||||
}
|
||||
|
||||
pub struct IndexMerger {
|
||||
@@ -174,7 +175,7 @@ impl IndexMerger {
|
||||
for field in fields {
|
||||
fieldnorms_data.clear();
|
||||
for reader in &self.readers {
|
||||
let fieldnorms_reader = reader.get_fieldnorms_reader(field);
|
||||
let fieldnorms_reader = reader.get_fieldnorms_reader(field)?;
|
||||
for doc_id in reader.doc_ids_alive() {
|
||||
let fieldnorm_id = fieldnorms_reader.fieldnorm_id(doc_id);
|
||||
fieldnorms_data.push(fieldnorm_id);
|
||||
@@ -497,7 +498,7 @@ impl IndexMerger {
|
||||
) -> crate::Result<Option<TermOrdinalMapping>> {
|
||||
let mut positions_buffer: Vec<u32> = Vec::with_capacity(1_000);
|
||||
let mut delta_computer = DeltaComputer::new();
|
||||
let field_readers = self
|
||||
let field_readers: Vec<Arc<InvertedIndexReader>> = self
|
||||
.readers
|
||||
.iter()
|
||||
.map(|reader| reader.inverted_index(indexed_field))
|
||||
@@ -540,7 +541,7 @@ impl IndexMerger {
|
||||
// The total number of tokens will only be exact when there has been no deletes.
|
||||
//
|
||||
// Otherwise, we approximate by removing deleted documents proportionally.
|
||||
let total_num_tokens: u64 = compute_total_num_tokens(&self.readers, indexed_field);
|
||||
let total_num_tokens: u64 = compute_total_num_tokens(&self.readers, indexed_field)?;
|
||||
|
||||
// Create the total list of doc ids
|
||||
// by stacking the doc ids from the different segment.
|
||||
@@ -563,47 +564,45 @@ impl IndexMerger {
|
||||
indexed. Have you modified the schema?",
|
||||
);
|
||||
|
||||
let mut segment_postings_containing_the_term: Vec<(usize, SegmentPostings)> = vec![];
|
||||
|
||||
while merged_terms.advance() {
|
||||
segment_postings_containing_the_term.clear();
|
||||
let term_bytes: &[u8] = merged_terms.key();
|
||||
|
||||
let mut total_doc_freq = 0;
|
||||
|
||||
// Let's compute the list of non-empty posting lists
|
||||
let segment_postings: Vec<_> = merged_terms
|
||||
.current_kvs()
|
||||
.iter()
|
||||
.flat_map(|heap_item| {
|
||||
let segment_ord = heap_item.segment_ord;
|
||||
let term_info = heap_item.streamer.value();
|
||||
let segment_reader = &self.readers[heap_item.segment_ord];
|
||||
let inverted_index = segment_reader.inverted_index(indexed_field);
|
||||
let mut segment_postings = inverted_index
|
||||
.read_postings_from_terminfo(term_info, segment_postings_option);
|
||||
let mut doc = segment_postings.doc();
|
||||
while doc != TERMINATED {
|
||||
if !segment_reader.is_deleted(doc) {
|
||||
return Some((segment_ord, segment_postings));
|
||||
}
|
||||
doc = segment_postings.advance();
|
||||
}
|
||||
None
|
||||
})
|
||||
.collect();
|
||||
for heap_item in merged_terms.current_kvs() {
|
||||
let segment_ord = heap_item.segment_ord;
|
||||
let term_info = heap_item.streamer.value();
|
||||
let segment_reader = &self.readers[heap_item.segment_ord];
|
||||
let inverted_index: &InvertedIndexReader = &*field_readers[segment_ord];
|
||||
let segment_postings =
|
||||
inverted_index.read_postings_from_terminfo(term_info, segment_postings_option);
|
||||
let delete_bitset_opt = segment_reader.delete_bitset();
|
||||
let doc_freq = if let Some(delete_bitset) = delete_bitset_opt {
|
||||
segment_postings.doc_freq_given_deletes(delete_bitset)
|
||||
} else {
|
||||
segment_postings.doc_freq()
|
||||
};
|
||||
if doc_freq > 0u32 {
|
||||
total_doc_freq += doc_freq;
|
||||
segment_postings_containing_the_term.push((segment_ord, segment_postings));
|
||||
}
|
||||
}
|
||||
|
||||
// At this point, `segment_postings` contains the posting list
|
||||
// of all of the segments containing the given term.
|
||||
// of all of the segments containing the given term (and that are non-empty)
|
||||
//
|
||||
// These segments are non-empty and advance has already been called.
|
||||
if segment_postings.is_empty() {
|
||||
if total_doc_freq == 0u32 {
|
||||
// All docs that used to contain the term have been deleted. The `term` will be
|
||||
// entirely removed.
|
||||
continue;
|
||||
}
|
||||
// If not, the `term` will be entirely removed.
|
||||
|
||||
// We know that there is at least one document containing
|
||||
// the term, so we add it.
|
||||
let term_doc_freq = segment_postings
|
||||
.iter()
|
||||
.map(|(_, segment_posting)| segment_posting.doc_freq())
|
||||
.sum();
|
||||
let to_term_ord = field_serializer.new_term(term_bytes, term_doc_freq)?;
|
||||
let to_term_ord = field_serializer.new_term(term_bytes, total_doc_freq)?;
|
||||
|
||||
if let Some(ref mut term_ord_mapping) = term_ord_mapping_opt {
|
||||
for (segment_ord, from_term_ord) in merged_terms.matching_segments() {
|
||||
@@ -613,7 +612,9 @@ impl IndexMerger {
|
||||
|
||||
// We can now serialize this postings, by pushing each document to the
|
||||
// postings serializer.
|
||||
for (segment_ord, mut segment_postings) in segment_postings {
|
||||
for (segment_ord, mut segment_postings) in
|
||||
segment_postings_containing_the_term.drain(..)
|
||||
{
|
||||
let old_to_new_doc_id = &merged_doc_id_map[segment_ord];
|
||||
|
||||
let mut doc = segment_postings.doc();
|
||||
@@ -686,7 +687,7 @@ impl SerializableSegment for IndexMerger {
|
||||
let fieldnorm_data = serializer
|
||||
.segment()
|
||||
.open_read(SegmentComponent::FIELDNORMS)?;
|
||||
let fieldnorm_readers = FieldNormReaders::new(fieldnorm_data)?;
|
||||
let fieldnorm_readers = FieldNormReaders::open(fieldnorm_data)?;
|
||||
let term_ord_mappings =
|
||||
self.write_postings(serializer.get_postings_serializer(), fieldnorm_readers)?;
|
||||
self.write_fast_fields(serializer.get_fast_field_serializer(), term_ord_mappings)?;
|
||||
@@ -750,7 +751,7 @@ mod tests {
|
||||
};
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
{
|
||||
// writing the segment
|
||||
{
|
||||
@@ -802,7 +803,7 @@ mod tests {
|
||||
let segment_ids = index
|
||||
.searchable_segment_ids()
|
||||
.expect("Searchable segments failed.");
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
block_on(index_writer.merge(&segment_ids)).expect("Merging failed");
|
||||
index_writer.wait_merging_threads().unwrap();
|
||||
}
|
||||
@@ -903,7 +904,7 @@ mod tests {
|
||||
let score_field = schema_builder.add_u64_field("score", score_fieldtype);
|
||||
let bytes_score_field = schema_builder.add_bytes_field("score_bytes");
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let search_term = |searcher: &Searcher, term: Term| {
|
||||
let collector = FastFieldTestCollector::for_field(score_field);
|
||||
@@ -1210,7 +1211,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let reader = index.reader().unwrap();
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let index_doc = |index_writer: &mut IndexWriter, doc_facets: &[&str]| {
|
||||
let mut doc = Document::default();
|
||||
for facet in doc_facets {
|
||||
@@ -1275,7 +1276,7 @@ mod tests {
|
||||
let segment_ids = index
|
||||
.searchable_segment_ids()
|
||||
.expect("Searchable segments failed.");
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
block_on(index_writer.merge(&segment_ids)).expect("Merging failed");
|
||||
index_writer.wait_merging_threads().unwrap();
|
||||
reader.reload().unwrap();
|
||||
@@ -1294,7 +1295,7 @@ mod tests {
|
||||
|
||||
// Deleting one term
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let facet = Facet::from_path(vec!["top", "a", "firstdoc"]);
|
||||
let facet_term = Term::from_facet(facet_field, &facet);
|
||||
index_writer.delete_term(facet_term);
|
||||
@@ -1319,7 +1320,7 @@ mod tests {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let int_field = schema_builder.add_u64_field("intvals", INDEXED);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(int_field => 1u64));
|
||||
index_writer.commit().expect("commit failed");
|
||||
index_writer.add_document(doc!(int_field => 1u64));
|
||||
@@ -1348,7 +1349,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let reader = index.reader().unwrap();
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let mut doc = Document::default();
|
||||
doc.add_u64(int_field, 1);
|
||||
index_writer.add_document(doc.clone());
|
||||
@@ -1387,7 +1388,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let index_doc = |index_writer: &mut IndexWriter, int_vals: &[u64]| {
|
||||
let mut doc = Document::default();
|
||||
for &val in int_vals {
|
||||
@@ -1461,7 +1462,7 @@ mod tests {
|
||||
let segment_ids = index
|
||||
.searchable_segment_ids()
|
||||
.expect("Searchable segments failed.");
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
assert!(block_on(index_writer.merge(&segment_ids)).is_ok());
|
||||
assert!(index_writer.wait_merging_threads().is_ok());
|
||||
}
|
||||
@@ -1515,7 +1516,7 @@ mod tests {
|
||||
|
||||
let index = Index::create_in_ram(builder.build());
|
||||
|
||||
let mut writer = index.writer_with_num_threads(1, 3_000_000)?;
|
||||
let mut writer = index.writer_for_tests()?;
|
||||
|
||||
// Make sure we'll attempt to merge every created segment
|
||||
let mut policy = crate::indexer::LogMergePolicy::default();
|
||||
@@ -1547,7 +1548,7 @@ mod tests {
|
||||
let mut builder = schema::SchemaBuilder::new();
|
||||
let text = builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(builder.build());
|
||||
let mut writer = index.writer_with_num_threads(1, 3_000_000)?;
|
||||
let mut writer = index.writer_for_tests()?;
|
||||
let happy_term = Term::from_field_text(text, "happy");
|
||||
let term_query = TermQuery::new(happy_term, IndexRecordOption::WithFreqs);
|
||||
for _ in 0..62 {
|
||||
@@ -1558,7 +1559,7 @@ mod tests {
|
||||
let searcher = reader.searcher();
|
||||
let mut term_scorer = term_query
|
||||
.specialized_weight(&searcher, true)
|
||||
.specialized_scorer(searcher.segment_reader(0u32), 1.0f32)?;
|
||||
.specialized_scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert_eq!(term_scorer.doc(), 0);
|
||||
assert_nearly_equals!(term_scorer.block_max_score(), 0.0079681855);
|
||||
assert_nearly_equals!(term_scorer.score(), 0.0079681855);
|
||||
@@ -1573,7 +1574,7 @@ mod tests {
|
||||
for segment_reader in searcher.segment_readers() {
|
||||
let mut term_scorer = term_query
|
||||
.specialized_weight(&searcher, true)
|
||||
.specialized_scorer(segment_reader, 1.0f32)?;
|
||||
.specialized_scorer(segment_reader, 1.0)?;
|
||||
// the difference compared to before is instrinsic to the bm25 formula. no worries there.
|
||||
for doc in segment_reader.doc_ids_alive() {
|
||||
assert_eq!(term_scorer.doc(), doc);
|
||||
@@ -1597,7 +1598,7 @@ mod tests {
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let mut term_scorer = term_query
|
||||
.specialized_weight(&searcher, true)
|
||||
.specialized_scorer(segment_reader, 1.0f32)?;
|
||||
.specialized_scorer(segment_reader, 1.0)?;
|
||||
// the difference compared to before is instrinsic to the bm25 formula. no worries there.
|
||||
for doc in segment_reader.doc_ids_alive() {
|
||||
assert_eq!(term_scorer.doc(), doc);
|
||||
|
||||
@@ -29,8 +29,9 @@ 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 {
|
||||
mod tests_mmap {
|
||||
use crate::schema::{self, Schema};
|
||||
use crate::{Index, Term};
|
||||
|
||||
@@ -39,7 +40,7 @@ mod tests {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_from_tempdir(schema_builder.build()).unwrap();
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
// there must be one deleted document in the segment
|
||||
index_writer.add_document(doc!(text_field=>"b"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "b"));
|
||||
|
||||
@@ -130,15 +130,14 @@ fn merge(
|
||||
// An IndexMerger is like a "view" of our merged segments.
|
||||
let merger: IndexMerger = IndexMerger::open(index.schema(), &segments[..])?;
|
||||
|
||||
let merged_segment_id = merged_segment.id();
|
||||
|
||||
// ... we just serialize this index merger in our new segment to merge the two segments.
|
||||
let segment_serializer = SegmentSerializer::for_segment(merged_segment)?;
|
||||
let segment_serializer = SegmentSerializer::for_segment(merged_segment.clone())?;
|
||||
|
||||
let num_docs = merger.write(segment_serializer)?;
|
||||
|
||||
let segment_meta = index.new_segment_meta(merged_segment_id, num_docs);
|
||||
let merged_segment_id = merged_segment.id();
|
||||
|
||||
let segment_meta = index.new_segment_meta(merged_segment_id, num_docs);
|
||||
Ok(SegmentEntry::new(segment_meta, delete_cursor, None))
|
||||
}
|
||||
|
||||
@@ -556,7 +555,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.set_merge_policy(Box::new(MergeWheneverPossible));
|
||||
|
||||
{
|
||||
@@ -609,7 +608,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
|
||||
{
|
||||
for _ in 0..100 {
|
||||
@@ -680,7 +679,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
|
||||
{
|
||||
for _ in 0..100 {
|
||||
|
||||
@@ -17,7 +17,6 @@ use crate::tokenizer::{TokenStreamChain, Tokenizer};
|
||||
use crate::Opstamp;
|
||||
use crate::{DocId, SegmentComponent};
|
||||
use std::io;
|
||||
use std::str;
|
||||
|
||||
/// Computes the initial size of the hash table.
|
||||
///
|
||||
@@ -48,6 +47,7 @@ pub struct SegmentWriter {
|
||||
fieldnorms_writer: FieldNormsWriter,
|
||||
doc_opstamps: Vec<Opstamp>,
|
||||
tokenizers: Vec<Option<TextAnalyzer>>,
|
||||
term_buffer: Term,
|
||||
}
|
||||
|
||||
impl SegmentWriter {
|
||||
@@ -91,6 +91,7 @@ impl SegmentWriter {
|
||||
fast_field_writers: FastFieldsWriter::from_schema(schema),
|
||||
doc_opstamps: Vec::with_capacity(1_000),
|
||||
tokenizers,
|
||||
term_buffer: Term::new(),
|
||||
})
|
||||
}
|
||||
|
||||
@@ -128,24 +129,26 @@ impl SegmentWriter {
|
||||
if !field_options.is_indexed() {
|
||||
continue;
|
||||
}
|
||||
let (term_buffer, multifield_postings) =
|
||||
(&mut self.term_buffer, &mut self.multifield_postings);
|
||||
match *field_options.field_type() {
|
||||
FieldType::HierarchicalFacet => {
|
||||
let facets: Vec<&str> = field_values
|
||||
.iter()
|
||||
.flat_map(|field_value| match *field_value.value() {
|
||||
Value::Facet(ref facet) => Some(facet.encoded_str()),
|
||||
_ => {
|
||||
panic!("Expected hierarchical facet");
|
||||
}
|
||||
})
|
||||
.collect();
|
||||
let mut term = Term::for_field(field); // we set the Term
|
||||
term_buffer.set_field(field);
|
||||
let facets =
|
||||
field_values
|
||||
.iter()
|
||||
.flat_map(|field_value| match *field_value.value() {
|
||||
Value::Facet(ref facet) => Some(facet.encoded_str()),
|
||||
_ => {
|
||||
panic!("Expected hierarchical facet");
|
||||
}
|
||||
});
|
||||
for fake_str in facets {
|
||||
let mut unordered_term_id_opt = None;
|
||||
FacetTokenizer.token_stream(fake_str).process(&mut |token| {
|
||||
term.set_text(&token.text);
|
||||
term_buffer.set_text(&token.text);
|
||||
let unordered_term_id =
|
||||
self.multifield_postings.subscribe(doc_id, &term);
|
||||
multifield_postings.subscribe(doc_id, &term_buffer);
|
||||
unordered_term_id_opt = Some(unordered_term_id);
|
||||
});
|
||||
if let Some(unordered_term_id) = unordered_term_id_opt {
|
||||
@@ -168,7 +171,6 @@ impl SegmentWriter {
|
||||
if let Some(last_token) = tok_str.tokens.last() {
|
||||
total_offset += last_token.offset_to;
|
||||
}
|
||||
|
||||
token_streams
|
||||
.push(PreTokenizedStream::from(tok_str.clone()).into());
|
||||
}
|
||||
@@ -178,7 +180,6 @@ impl SegmentWriter {
|
||||
{
|
||||
offsets.push(total_offset);
|
||||
total_offset += text.len();
|
||||
|
||||
token_streams.push(tokenizer.token_stream(text));
|
||||
}
|
||||
}
|
||||
@@ -190,8 +191,12 @@ impl SegmentWriter {
|
||||
0
|
||||
} else {
|
||||
let mut token_stream = TokenStreamChain::new(offsets, token_streams);
|
||||
self.multifield_postings
|
||||
.index_text(doc_id, field, &mut token_stream)
|
||||
multifield_postings.index_text(
|
||||
doc_id,
|
||||
field,
|
||||
&mut token_stream,
|
||||
term_buffer,
|
||||
)
|
||||
};
|
||||
|
||||
self.fieldnorms_writer.record(doc_id, field, num_tokens);
|
||||
@@ -199,44 +204,36 @@ impl SegmentWriter {
|
||||
FieldType::U64(ref int_option) => {
|
||||
if int_option.is_indexed() {
|
||||
for field_value in field_values {
|
||||
let term = Term::from_field_u64(
|
||||
field_value.field(),
|
||||
field_value.value().u64_value(),
|
||||
);
|
||||
self.multifield_postings.subscribe(doc_id, &term);
|
||||
term_buffer.set_field(field_value.field());
|
||||
term_buffer.set_u64(field_value.value().u64_value());
|
||||
multifield_postings.subscribe(doc_id, &term_buffer);
|
||||
}
|
||||
}
|
||||
}
|
||||
FieldType::Date(ref int_option) => {
|
||||
if int_option.is_indexed() {
|
||||
for field_value in field_values {
|
||||
let term = Term::from_field_i64(
|
||||
field_value.field(),
|
||||
field_value.value().date_value().timestamp(),
|
||||
);
|
||||
self.multifield_postings.subscribe(doc_id, &term);
|
||||
term_buffer.set_field(field_value.field());
|
||||
term_buffer.set_i64(field_value.value().date_value().timestamp());
|
||||
multifield_postings.subscribe(doc_id, &term_buffer);
|
||||
}
|
||||
}
|
||||
}
|
||||
FieldType::I64(ref int_option) => {
|
||||
if int_option.is_indexed() {
|
||||
for field_value in field_values {
|
||||
let term = Term::from_field_i64(
|
||||
field_value.field(),
|
||||
field_value.value().i64_value(),
|
||||
);
|
||||
self.multifield_postings.subscribe(doc_id, &term);
|
||||
term_buffer.set_field(field_value.field());
|
||||
term_buffer.set_i64(field_value.value().i64_value());
|
||||
multifield_postings.subscribe(doc_id, &term_buffer);
|
||||
}
|
||||
}
|
||||
}
|
||||
FieldType::F64(ref int_option) => {
|
||||
if int_option.is_indexed() {
|
||||
for field_value in field_values {
|
||||
let term = Term::from_field_f64(
|
||||
field_value.field(),
|
||||
field_value.value().f64_value(),
|
||||
);
|
||||
self.multifield_postings.subscribe(doc_id, &term);
|
||||
term_buffer.set_field(field_value.field());
|
||||
term_buffer.set_f64(field_value.value().f64_value());
|
||||
multifield_postings.subscribe(doc_id, &term_buffer);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -287,7 +284,7 @@ fn write(
|
||||
let fieldnorm_data = serializer
|
||||
.segment()
|
||||
.open_read(SegmentComponent::FIELDNORMS)?;
|
||||
let fieldnorm_readers = FieldNormReaders::new(fieldnorm_data)?;
|
||||
let fieldnorm_readers = FieldNormReaders::open(fieldnorm_data)?;
|
||||
let term_ord_map =
|
||||
multifield_postings.serialize(serializer.get_postings_serializer(), fieldnorm_readers)?;
|
||||
fast_field_writers.serialize(serializer.get_fast_field_serializer(), &term_ord_map)?;
|
||||
|
||||
376
src/lib.rs
376
src/lib.rs
@@ -245,11 +245,10 @@ pub type DocId = u32;
|
||||
/// with opstamp `n+1`.
|
||||
pub type Opstamp = u64;
|
||||
|
||||
/// A f32 that represents the relevance of the document to the query
|
||||
/// A Score that represents the relevance of the document to the query
|
||||
///
|
||||
/// This is modelled internally as a `f32`. The
|
||||
/// larger the number, the more relevant the document
|
||||
/// to the search
|
||||
/// This is modelled internally as a `f32`. The larger the number, the more relevant
|
||||
/// the document to the search query.
|
||||
pub type Score = f32;
|
||||
|
||||
/// A `SegmentLocalId` identifies a segment.
|
||||
@@ -282,7 +281,6 @@ pub struct DocAddress(pub SegmentLocalId, pub DocId);
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use crate::collector::tests::TEST_COLLECTOR_WITH_SCORE;
|
||||
use crate::core::SegmentReader;
|
||||
use crate::docset::{DocSet, TERMINATED};
|
||||
@@ -290,7 +288,6 @@ mod tests {
|
||||
use crate::schema::*;
|
||||
use crate::DocAddress;
|
||||
use crate::Index;
|
||||
use crate::IndexWriter;
|
||||
use crate::Postings;
|
||||
use crate::ReloadPolicy;
|
||||
use rand::distributions::Bernoulli;
|
||||
@@ -355,14 +352,14 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
#[cfg(feature = "mmap")]
|
||||
fn test_indexing() {
|
||||
fn test_indexing() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_from_tempdir(schema).unwrap();
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
{
|
||||
let doc = doc!(text_field=>"af b");
|
||||
index_writer.add_document(doc);
|
||||
@@ -377,29 +374,30 @@ mod tests {
|
||||
}
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_docfreq1() {
|
||||
fn test_docfreq1() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
{
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
}
|
||||
{
|
||||
index_writer.add_document(doc!(text_field=>"a"));
|
||||
index_writer.add_document(doc!(text_field=>"a a"));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
}
|
||||
{
|
||||
index_writer.add_document(doc!(text_field=>"c"));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
}
|
||||
{
|
||||
let reader = index.reader().unwrap();
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let term_a = Term::from_field_text(text_field, "a");
|
||||
assert_eq!(searcher.doc_freq(&term_a), 3);
|
||||
@@ -410,67 +408,50 @@ mod tests {
|
||||
let term_d = Term::from_field_text(text_field, "d");
|
||||
assert_eq!(searcher.doc_freq(&term_d), 0);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_fieldnorm_no_docs_with_field() {
|
||||
fn test_fieldnorm_no_docs_with_field() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let title_field = schema_builder.add_text_field("title", TEXT);
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.commit()?;
|
||||
let index_reader = index.reader()?;
|
||||
let searcher = index_reader.searcher();
|
||||
let reader = searcher.segment_reader(0);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
{
|
||||
let doc = doc!(text_field=>"a b c");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
index_writer.commit().unwrap();
|
||||
let fieldnorm_reader = reader.get_fieldnorms_reader(text_field)?;
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(0), 3);
|
||||
}
|
||||
{
|
||||
let index_reader = index.reader().unwrap();
|
||||
let searcher = index_reader.searcher();
|
||||
let reader = searcher.segment_reader(0);
|
||||
{
|
||||
let fieldnorm_reader = reader.get_fieldnorms_reader(text_field);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(0), 3);
|
||||
}
|
||||
{
|
||||
let fieldnorm_reader = reader.get_fieldnorms_reader(title_field);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm_id(0), 0);
|
||||
}
|
||||
let fieldnorm_reader = reader.get_fieldnorms_reader(title_field)?;
|
||||
assert_eq!(fieldnorm_reader.fieldnorm_id(0), 0);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_fieldnorm() {
|
||||
fn test_fieldnorm() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
{
|
||||
let doc = doc!(text_field=>"a b c");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
let doc = doc!();
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
let doc = doc!(text_field=>"a b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
{
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader: &SegmentReader = searcher.segment_reader(0);
|
||||
let fieldnorms_reader = segment_reader.get_fieldnorms_reader(text_field);
|
||||
assert_eq!(fieldnorms_reader.fieldnorm(0), 3);
|
||||
assert_eq!(fieldnorms_reader.fieldnorm(1), 0);
|
||||
assert_eq!(fieldnorms_reader.fieldnorm(2), 2);
|
||||
}
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.add_document(doc!());
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader: &SegmentReader = searcher.segment_reader(0);
|
||||
let fieldnorms_reader = segment_reader.get_fieldnorms_reader(text_field)?;
|
||||
assert_eq!(fieldnorms_reader.fieldnorm(0), 3);
|
||||
assert_eq!(fieldnorms_reader.fieldnorm(1), 0);
|
||||
assert_eq!(fieldnorms_reader.fieldnorm(2), 2);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn advance_undeleted(docset: &mut dyn DocSet, reader: &SegmentReader) -> bool {
|
||||
@@ -485,7 +466,7 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_delete_postings1() {
|
||||
fn test_delete_postings1() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let term_abcd = Term::from_field_text(text_field, "abcd");
|
||||
@@ -501,7 +482,7 @@ mod tests {
|
||||
.unwrap();
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
// 0
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
// 1
|
||||
@@ -517,10 +498,10 @@ mod tests {
|
||||
index_writer.add_document(doc!(text_field=>" b c"));
|
||||
// 5
|
||||
index_writer.add_document(doc!(text_field=>" a"));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
}
|
||||
{
|
||||
reader.reload().unwrap();
|
||||
reader.reload()?;
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let inverted_index = segment_reader.inverted_index(text_field);
|
||||
@@ -548,15 +529,15 @@ mod tests {
|
||||
}
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
// 0
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
// 1
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
index_writer.rollback().unwrap();
|
||||
index_writer.rollback()?;
|
||||
}
|
||||
{
|
||||
reader.reload().unwrap();
|
||||
reader.reload()?;
|
||||
let searcher = reader.searcher();
|
||||
let seg_reader = searcher.segment_reader(0);
|
||||
let inverted_index = seg_reader.inverted_index(term_abcd.field());
|
||||
@@ -585,15 +566,15 @@ mod tests {
|
||||
}
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
index_writer.rollback().unwrap();
|
||||
index_writer.rollback()?;
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "a"));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
}
|
||||
{
|
||||
reader.reload().unwrap();
|
||||
reader.reload()?;
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let inverted_index = segment_reader.inverted_index(term_abcd.field());
|
||||
@@ -625,19 +606,20 @@ mod tests {
|
||||
assert!(!advance_undeleted(&mut postings, segment_reader));
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_indexed_u64() {
|
||||
fn test_indexed_u64() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let field = schema_builder.add_u64_field("value", INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(field=>1u64));
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let term = Term::from_field_u64(field, 1u64);
|
||||
let mut postings = searcher
|
||||
@@ -647,20 +629,21 @@ mod tests {
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0);
|
||||
assert_eq!(postings.advance(), TERMINATED);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_indexed_i64() {
|
||||
fn test_indexed_i64() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let value_field = schema_builder.add_i64_field("value", INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
let negative_val = -1i64;
|
||||
index_writer.add_document(doc!(value_field => negative_val));
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let term = Term::from_field_i64(value_field, negative_val);
|
||||
let mut postings = searcher
|
||||
@@ -670,20 +653,21 @@ mod tests {
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0);
|
||||
assert_eq!(postings.advance(), TERMINATED);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_indexed_f64() {
|
||||
fn test_indexed_f64() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let value_field = schema_builder.add_f64_field("value", INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
let val = std::f64::consts::PI;
|
||||
index_writer.add_document(doc!(value_field => val));
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let term = Term::from_field_f64(value_field, val);
|
||||
let mut postings = searcher
|
||||
@@ -693,26 +677,29 @@ mod tests {
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0);
|
||||
assert_eq!(postings.advance(), TERMINATED);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_indexedfield_not_in_documents() {
|
||||
fn test_indexedfield_not_in_documents() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let absent_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(2, 6_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"a"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
let reader = index.reader().unwrap();
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
segment_reader.inverted_index(absent_field); //< should not panic
|
||||
let inverted_index = segment_reader.inverted_index(absent_field); //< should not panic
|
||||
assert_eq!(inverted_index.terms().num_terms(), 0);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_delete_postings2() {
|
||||
fn test_delete_postings2() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
@@ -720,53 +707,40 @@ mod tests {
|
||||
let reader = index
|
||||
.reader_builder()
|
||||
.reload_policy(ReloadPolicy::Manual)
|
||||
.try_into()
|
||||
.unwrap();
|
||||
.try_into()?;
|
||||
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(2, 6_000_000).unwrap();
|
||||
|
||||
let add_document = |index_writer: &mut IndexWriter, val: &'static str| {
|
||||
let doc = doc!(text_field=>val);
|
||||
index_writer.add_document(doc);
|
||||
};
|
||||
|
||||
let remove_document = |index_writer: &mut IndexWriter, val: &'static str| {
|
||||
let delterm = Term::from_field_text(text_field, val);
|
||||
index_writer.delete_term(delterm);
|
||||
};
|
||||
|
||||
add_document(&mut index_writer, "63");
|
||||
add_document(&mut index_writer, "70");
|
||||
add_document(&mut index_writer, "34");
|
||||
add_document(&mut index_writer, "1");
|
||||
add_document(&mut index_writer, "38");
|
||||
add_document(&mut index_writer, "33");
|
||||
add_document(&mut index_writer, "40");
|
||||
add_document(&mut index_writer, "17");
|
||||
remove_document(&mut index_writer, "38");
|
||||
remove_document(&mut index_writer, "34");
|
||||
index_writer.commit().unwrap();
|
||||
reader.reload().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
assert_eq!(searcher.num_docs(), 6);
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"63"));
|
||||
index_writer.add_document(doc!(text_field=>"70"));
|
||||
index_writer.add_document(doc!(text_field=>"34"));
|
||||
index_writer.add_document(doc!(text_field=>"1"));
|
||||
index_writer.add_document(doc!(text_field=>"38"));
|
||||
index_writer.add_document(doc!(text_field=>"33"));
|
||||
index_writer.add_document(doc!(text_field=>"40"));
|
||||
index_writer.add_document(doc!(text_field=>"17"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "38"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "34"));
|
||||
index_writer.commit()?;
|
||||
reader.reload()?;
|
||||
assert_eq!(reader.searcher().num_docs(), 6);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_termfreq() {
|
||||
fn test_termfreq() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let doc = doc!(text_field=>"af af af bc bc");
|
||||
index_writer.add_document(doc);
|
||||
index_writer.commit().unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"af af af bc bc"));
|
||||
index_writer.commit()?;
|
||||
}
|
||||
{
|
||||
let index_reader = index.reader().unwrap();
|
||||
let index_reader = index.reader()?;
|
||||
let searcher = index_reader.searcher();
|
||||
let reader = searcher.segment_reader(0);
|
||||
let inverted_index = reader.inverted_index(text_field);
|
||||
@@ -782,63 +756,63 @@ mod tests {
|
||||
assert_eq!(postings.term_freq(), 3);
|
||||
assert_eq!(postings.advance(), TERMINATED);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_searcher_1() {
|
||||
fn test_searcher_1() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let reader = index.reader().unwrap();
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"af af af b"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c d"));
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
{
|
||||
reader.reload().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let get_doc_ids = |terms: Vec<Term>| {
|
||||
let query = BooleanQuery::new_multiterms_query(terms);
|
||||
let topdocs = searcher.search(&query, &TEST_COLLECTOR_WITH_SCORE).unwrap();
|
||||
topdocs.docs().to_vec()
|
||||
};
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "a")]),
|
||||
vec![DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "af")]),
|
||||
vec![DocAddress(0, 0)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "b")]),
|
||||
vec![DocAddress(0, 0), DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "c")]),
|
||||
vec![DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "d")]),
|
||||
vec![DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![
|
||||
Term::from_field_text(text_field, "b"),
|
||||
Term::from_field_text(text_field, "a"),
|
||||
]),
|
||||
vec![DocAddress(0, 0), DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
}
|
||||
let reader = index.reader()?;
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"af af af b"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c d"));
|
||||
index_writer.commit()?;
|
||||
|
||||
reader.reload()?;
|
||||
let searcher = reader.searcher();
|
||||
let get_doc_ids = |terms: Vec<Term>| {
|
||||
let query = BooleanQuery::new_multiterms_query(terms);
|
||||
searcher
|
||||
.search(&query, &TEST_COLLECTOR_WITH_SCORE)
|
||||
.map(|topdocs| topdocs.docs().to_vec())
|
||||
};
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "a")])?,
|
||||
vec![DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "af")])?,
|
||||
vec![DocAddress(0, 0)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "b")])?,
|
||||
vec![DocAddress(0, 0), DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "c")])?,
|
||||
vec![DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "d")])?,
|
||||
vec![DocAddress(0, 2)]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![
|
||||
Term::from_field_text(text_field, "b"),
|
||||
Term::from_field_text(text_field, "a"),
|
||||
])?,
|
||||
vec![DocAddress(0, 0), DocAddress(0, 1), DocAddress(0, 2)]
|
||||
);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_searcher_2() {
|
||||
fn test_searcher_2() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
@@ -846,19 +820,17 @@ mod tests {
|
||||
let reader = index
|
||||
.reader_builder()
|
||||
.reload_policy(ReloadPolicy::Manual)
|
||||
.try_into()
|
||||
.unwrap();
|
||||
.try_into()?;
|
||||
assert_eq!(reader.searcher().num_docs(), 0u64);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"af b"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c d"));
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
reader.reload().unwrap();
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(text_field=>"af b"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
index_writer.add_document(doc!(text_field=>"a b c d"));
|
||||
index_writer.commit()?;
|
||||
reader.reload()?;
|
||||
assert_eq!(reader.searcher().num_docs(), 3u64);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -880,7 +852,7 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_wrong_fast_field_type() {
|
||||
fn test_wrong_fast_field_type() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let fast_field_unsigned = schema_builder.add_u64_field("unsigned", FAST);
|
||||
let fast_field_signed = schema_builder.add_i64_field("signed", FAST);
|
||||
@@ -890,14 +862,14 @@ mod tests {
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 50_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
{
|
||||
let document =
|
||||
doc!(fast_field_unsigned => 4u64, fast_field_signed=>4i64, fast_field_float=>4f64);
|
||||
index_writer.add_document(document);
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
}
|
||||
let reader = index.reader().unwrap();
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader: &SegmentReader = searcher.segment_reader(0);
|
||||
{
|
||||
@@ -936,11 +908,12 @@ mod tests {
|
||||
let fast_field_reader = fast_field_reader_opt.unwrap();
|
||||
assert_eq!(fast_field_reader.get(0), 4f64)
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// motivated by #729
|
||||
#[test]
|
||||
fn test_update_via_delete_insert() {
|
||||
fn test_update_via_delete_insert() -> crate::Result<()> {
|
||||
use crate::collector::Count;
|
||||
use crate::indexer::NoMergePolicy;
|
||||
use crate::query::AllQuery;
|
||||
@@ -954,17 +927,17 @@ mod tests {
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
let index_reader = index.reader().unwrap();
|
||||
let index_reader = index.reader()?;
|
||||
|
||||
let mut index_writer = index.writer(3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.set_merge_policy(Box::new(NoMergePolicy));
|
||||
|
||||
for doc_id in 0u64..DOC_COUNT {
|
||||
index_writer.add_document(doc!(id => doc_id));
|
||||
}
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
|
||||
index_reader.reload().unwrap();
|
||||
index_reader.reload()?;
|
||||
let searcher = index_reader.searcher();
|
||||
|
||||
assert_eq!(
|
||||
@@ -975,12 +948,11 @@ mod tests {
|
||||
// update the 10 elements by deleting and re-adding
|
||||
for doc_id in 0u64..DOC_COUNT {
|
||||
index_writer.delete_term(Term::from_field_u64(id, doc_id));
|
||||
index_writer.commit().unwrap();
|
||||
index_reader.reload().unwrap();
|
||||
let doc = doc!(id => doc_id);
|
||||
index_writer.add_document(doc);
|
||||
index_writer.commit().unwrap();
|
||||
index_reader.reload().unwrap();
|
||||
index_writer.commit()?;
|
||||
index_reader.reload()?;
|
||||
index_writer.add_document(doc!(id => doc_id));
|
||||
index_writer.commit()?;
|
||||
index_reader.reload()?;
|
||||
let searcher = index_reader.searcher();
|
||||
// The number of document should be stable.
|
||||
assert_eq!(
|
||||
@@ -989,7 +961,7 @@ mod tests {
|
||||
);
|
||||
}
|
||||
|
||||
index_reader.reload().unwrap();
|
||||
index_reader.reload()?;
|
||||
let searcher = index_reader.searcher();
|
||||
let segment_ids: Vec<SegmentId> = searcher
|
||||
.segment_readers()
|
||||
@@ -998,12 +970,18 @@ mod tests {
|
||||
.collect();
|
||||
block_on(index_writer.merge(&segment_ids)).unwrap();
|
||||
|
||||
index_reader.reload().unwrap();
|
||||
index_reader.reload()?;
|
||||
let searcher = index_reader.searcher();
|
||||
assert_eq!(searcher.search(&AllQuery, &Count)?, DOC_COUNT as usize);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
assert_eq!(
|
||||
searcher.search(&AllQuery, &Count).unwrap(),
|
||||
DOC_COUNT as usize
|
||||
);
|
||||
#[test]
|
||||
fn test_validate_checksum() -> crate::Result<()> {
|
||||
let index_path = tempfile::tempdir().expect("dir");
|
||||
let schema = Schema::builder().build();
|
||||
let index = Index::create_in_dir(&index_path, schema)?;
|
||||
assert!(index.validate_checksum()?.is_empty());
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -78,6 +78,7 @@ impl Positions {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
pub struct PositionReader {
|
||||
skip_read: OwnedRead,
|
||||
position_read: OwnedRead,
|
||||
|
||||
@@ -9,9 +9,9 @@ use crate::query::BM25Weight;
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::{DocId, Score, TERMINATED};
|
||||
|
||||
fn max_f32<I: Iterator<Item = f32>>(mut it: I) -> Option<f32> {
|
||||
fn max_score<I: Iterator<Item = Score>>(mut it: I) -> Option<Score> {
|
||||
if let Some(first) = it.next() {
|
||||
Some(it.fold(first, f32::max))
|
||||
Some(it.fold(first, Score::max))
|
||||
} else {
|
||||
None
|
||||
}
|
||||
@@ -24,6 +24,7 @@ fn max_f32<I: Iterator<Item = f32>>(mut it: I) -> Option<f32> {
|
||||
///
|
||||
/// While it is useful for some very specific high-performance
|
||||
/// use cases, you should prefer using `SegmentPostings` for most usage.
|
||||
#[derive(Clone)]
|
||||
pub struct BlockSegmentPostings {
|
||||
pub(crate) doc_decoder: BlockDecoder,
|
||||
loaded_offset: usize,
|
||||
@@ -58,10 +59,14 @@ fn decode_vint_block(
|
||||
doc_offset: DocId,
|
||||
num_vint_docs: usize,
|
||||
) {
|
||||
doc_decoder.fill(TERMINATED);
|
||||
let num_consumed_bytes = doc_decoder.uncompress_vint_sorted(data, doc_offset, num_vint_docs);
|
||||
let num_consumed_bytes =
|
||||
doc_decoder.uncompress_vint_sorted(data, doc_offset, num_vint_docs, TERMINATED);
|
||||
if let Some(freq_decoder) = freq_decoder_opt {
|
||||
freq_decoder.uncompress_vint_unsorted(&data[num_consumed_bytes..], num_vint_docs);
|
||||
freq_decoder.uncompress_vint_unsorted(
|
||||
&data[num_consumed_bytes..],
|
||||
num_vint_docs,
|
||||
TERMINATED,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -124,27 +129,33 @@ impl BlockSegmentPostings {
|
||||
fieldnorm_reader: &FieldNormReader,
|
||||
bm25_weight: &BM25Weight,
|
||||
) -> Score {
|
||||
let (block_max_score_cache, skip_reader, doc_decoder, freq_decoder) = (
|
||||
&mut self.block_max_score_cache,
|
||||
&self.skip_reader,
|
||||
&self.doc_decoder,
|
||||
&self.freq_decoder,
|
||||
);
|
||||
*block_max_score_cache.get_or_insert_with(|| {
|
||||
skip_reader
|
||||
.block_max_score(bm25_weight)
|
||||
.or_else(|| {
|
||||
let docs = doc_decoder.output_array();
|
||||
let freqs = freq_decoder.output_array();
|
||||
max_f32(docs.iter().cloned().zip(freqs.iter().cloned()).map(
|
||||
|(doc, term_freq)| {
|
||||
let fieldnorm_id = fieldnorm_reader.fieldnorm_id(doc);
|
||||
bm25_weight.score(fieldnorm_id, term_freq)
|
||||
},
|
||||
))
|
||||
})
|
||||
.unwrap_or(0f32)
|
||||
})
|
||||
if let Some(score) = self.block_max_score_cache {
|
||||
return score;
|
||||
}
|
||||
if let Some(skip_reader_max_score) = self.skip_reader.block_max_score(bm25_weight) {
|
||||
// if we are on a full block, the skip reader should have the block max information
|
||||
// for us
|
||||
self.block_max_score_cache = Some(skip_reader_max_score);
|
||||
return skip_reader_max_score;
|
||||
}
|
||||
// this is the last block of the segment posting list.
|
||||
// If it is actually loaded, we can compute block max manually.
|
||||
if self.block_is_loaded() {
|
||||
let docs = self.doc_decoder.output_array().iter().cloned();
|
||||
let freqs = self.freq_decoder.output_array().iter().cloned();
|
||||
let bm25_scores = docs.zip(freqs).map(|(doc, term_freq)| {
|
||||
let fieldnorm_id = fieldnorm_reader.fieldnorm_id(doc);
|
||||
bm25_weight.score(fieldnorm_id, term_freq)
|
||||
});
|
||||
let block_max_score = max_score(bm25_scores).unwrap_or(0.0);
|
||||
self.block_max_score_cache = Some(block_max_score);
|
||||
return block_max_score;
|
||||
}
|
||||
// We do not have access to any good block max value. We return bm25_weight.max_score()
|
||||
// as it is a valid upperbound.
|
||||
//
|
||||
// We do not cache it however, so that it gets computed when once block is loaded.
|
||||
bm25_weight.max_score()
|
||||
}
|
||||
|
||||
pub(crate) fn freq_reading_option(&self) -> FreqReadingOption {
|
||||
@@ -164,6 +175,7 @@ impl BlockSegmentPostings {
|
||||
pub(crate) fn reset(&mut self, doc_freq: u32, postings_data: ReadOnlySource) {
|
||||
let (skip_data_opt, postings_data) = split_into_skips_and_postings(doc_freq, postings_data);
|
||||
self.data = ReadOnlySource::new(postings_data);
|
||||
self.block_max_score_cache = None;
|
||||
self.loaded_offset = std::usize::MAX;
|
||||
if let Some(skip_data) = skip_data_opt {
|
||||
self.skip_reader.reset(skip_data, doc_freq);
|
||||
@@ -242,7 +254,7 @@ impl BlockSegmentPostings {
|
||||
/// If all docs are smaller than target, the block loaded may be empty,
|
||||
/// or be the last an incomplete VInt block.
|
||||
pub fn seek(&mut self, target_doc: DocId) {
|
||||
self.skip_reader.seek(target_doc);
|
||||
self.shallow_seek(target_doc);
|
||||
self.load_block();
|
||||
}
|
||||
|
||||
@@ -257,7 +269,9 @@ impl BlockSegmentPostings {
|
||||
/// If all docs are smaller than target, the block loaded may be empty,
|
||||
/// or be the last an incomplete VInt block.
|
||||
pub(crate) fn shallow_seek(&mut self, target_doc: DocId) {
|
||||
self.skip_reader.seek(target_doc);
|
||||
if self.skip_reader.seek(target_doc) {
|
||||
self.block_max_score_cache = None;
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn block_is_loaded(&self) -> bool {
|
||||
@@ -265,7 +279,6 @@ impl BlockSegmentPostings {
|
||||
}
|
||||
|
||||
pub(crate) fn load_block(&mut self) {
|
||||
self.block_max_score_cache = None;
|
||||
let offset = self.skip_reader.byte_offset();
|
||||
if self.loaded_offset == offset {
|
||||
return;
|
||||
@@ -318,6 +331,7 @@ impl BlockSegmentPostings {
|
||||
/// Returns false iff there was no remaining blocks.
|
||||
pub fn advance(&mut self) {
|
||||
self.skip_reader.advance();
|
||||
self.block_max_score_cache = None;
|
||||
self.load_block();
|
||||
}
|
||||
|
||||
@@ -441,7 +455,7 @@ mod tests {
|
||||
let int_field = schema_builder.add_u64_field("id", INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let mut last_doc = 0u32;
|
||||
for &doc in docs {
|
||||
for _ in last_doc..doc {
|
||||
@@ -460,21 +474,19 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_block_segment_postings_seek2() {
|
||||
fn test_block_segment_postings_seek() {
|
||||
let mut docs = vec![0];
|
||||
for i in 0..1300 {
|
||||
docs.push((i * i / 100) + i);
|
||||
}
|
||||
let mut block_postings = build_block_postings(&docs[..]);
|
||||
for i in vec![0, 424, 10000] {
|
||||
block_postings.shallow_seek(i);
|
||||
block_postings.load_block();
|
||||
block_postings.seek(i);
|
||||
let docs = block_postings.docs();
|
||||
assert!(docs[0] <= i);
|
||||
assert!(docs.last().cloned().unwrap_or(0u32) >= i);
|
||||
}
|
||||
block_postings.shallow_seek(100_000);
|
||||
block_postings.load_block();
|
||||
block_postings.seek(100_000);
|
||||
assert_eq!(block_postings.doc(COMPRESSION_BLOCK_SIZE - 1), TERMINATED);
|
||||
}
|
||||
|
||||
@@ -484,7 +496,7 @@ mod tests {
|
||||
let int_field = schema_builder.add_u64_field("id", INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
// create two postings list, one containg even number,
|
||||
// the other containing odd numbers.
|
||||
for i in 0..6 {
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
use crate::common::FixedSize;
|
||||
use crate::docset::TERMINATED;
|
||||
use bitpacking::{BitPacker, BitPacker4x};
|
||||
|
||||
pub const COMPRESSION_BLOCK_SIZE: usize = BitPacker4x::BLOCK_LEN;
|
||||
@@ -53,8 +52,10 @@ impl BlockEncoder {
|
||||
/// We ensure that the OutputBuffer is align on 128 bits
|
||||
/// in order to run SSE2 linear search on it.
|
||||
#[repr(align(128))]
|
||||
#[derive(Clone)]
|
||||
pub(crate) struct AlignedBuffer(pub [u32; COMPRESSION_BLOCK_SIZE]);
|
||||
|
||||
#[derive(Clone)]
|
||||
pub struct BlockDecoder {
|
||||
bitpacker: BitPacker4x,
|
||||
output: AlignedBuffer,
|
||||
@@ -107,10 +108,6 @@ impl BlockDecoder {
|
||||
pub fn output(&self, idx: usize) -> u32 {
|
||||
self.output.0[idx]
|
||||
}
|
||||
|
||||
pub fn fill(&mut self, val: u32) {
|
||||
self.output.0.iter_mut().for_each(|el| *el = val);
|
||||
}
|
||||
}
|
||||
|
||||
pub trait VIntEncoder {
|
||||
@@ -147,11 +144,14 @@ pub trait VIntDecoder {
|
||||
/// For instance, if delta encoded are `1, 3, 9`, and the
|
||||
/// `offset` is 5, then the output will be:
|
||||
/// `5 + 1 = 6, 6 + 3= 9, 9 + 9 = 18`
|
||||
///
|
||||
/// The value given in `padding` will be used to fill the remaining `128 - num_els` values.
|
||||
fn uncompress_vint_sorted(
|
||||
&mut self,
|
||||
compressed_data: &[u8],
|
||||
offset: u32,
|
||||
num_els: usize,
|
||||
padding: u32,
|
||||
) -> usize;
|
||||
|
||||
/// Uncompress an array of `u32s`, compressed using variable
|
||||
@@ -159,7 +159,14 @@ pub trait VIntDecoder {
|
||||
///
|
||||
/// The method takes a number of int to decompress, and returns
|
||||
/// the amount of bytes that were read to decompress them.
|
||||
fn uncompress_vint_unsorted(&mut self, compressed_data: &[u8], num_els: usize) -> usize;
|
||||
///
|
||||
/// The value given in `padding` will be used to fill the remaining `128 - num_els` values.
|
||||
fn uncompress_vint_unsorted(
|
||||
&mut self,
|
||||
compressed_data: &[u8],
|
||||
num_els: usize,
|
||||
padding: u32,
|
||||
) -> usize;
|
||||
}
|
||||
|
||||
impl VIntEncoder for BlockEncoder {
|
||||
@@ -178,13 +185,21 @@ impl VIntDecoder for BlockDecoder {
|
||||
compressed_data: &[u8],
|
||||
offset: u32,
|
||||
num_els: usize,
|
||||
padding: u32,
|
||||
) -> usize {
|
||||
self.output_len = num_els;
|
||||
self.output.0.iter_mut().for_each(|el| *el = padding);
|
||||
vint::uncompress_sorted(compressed_data, &mut self.output.0[..num_els], offset)
|
||||
}
|
||||
|
||||
fn uncompress_vint_unsorted(&mut self, compressed_data: &[u8], num_els: usize) -> usize {
|
||||
fn uncompress_vint_unsorted(
|
||||
&mut self,
|
||||
compressed_data: &[u8],
|
||||
num_els: usize,
|
||||
padding: u32,
|
||||
) -> usize {
|
||||
self.output_len = num_els;
|
||||
self.output.0.iter_mut().for_each(|el| *el = padding);
|
||||
vint::uncompress_unsorted(compressed_data, &mut self.output.0[..num_els])
|
||||
}
|
||||
}
|
||||
@@ -193,6 +208,7 @@ impl VIntDecoder for BlockDecoder {
|
||||
pub mod tests {
|
||||
|
||||
use super::*;
|
||||
use crate::TERMINATED;
|
||||
|
||||
#[test]
|
||||
fn test_encode_sorted_block() {
|
||||
@@ -271,18 +287,20 @@ pub mod tests {
|
||||
}
|
||||
#[test]
|
||||
fn test_encode_vint() {
|
||||
{
|
||||
let expected_length = 154;
|
||||
let mut encoder = BlockEncoder::new();
|
||||
let input: Vec<u32> = (0u32..123u32).map(|i| 4 + i * 7 / 2).into_iter().collect();
|
||||
for offset in &[0u32, 1u32, 2u32] {
|
||||
let encoded_data = encoder.compress_vint_sorted(&input, *offset);
|
||||
assert!(encoded_data.len() <= expected_length);
|
||||
let mut decoder = BlockDecoder::default();
|
||||
let consumed_num_bytes =
|
||||
decoder.uncompress_vint_sorted(&encoded_data, *offset, input.len());
|
||||
assert_eq!(consumed_num_bytes, encoded_data.len());
|
||||
assert_eq!(input, decoder.output_array());
|
||||
const PADDING_VALUE: u32 = 234_234_345u32;
|
||||
let expected_length = 154;
|
||||
let mut encoder = BlockEncoder::new();
|
||||
let input: Vec<u32> = (0u32..123u32).map(|i| 4 + i * 7 / 2).into_iter().collect();
|
||||
for offset in &[0u32, 1u32, 2u32] {
|
||||
let encoded_data = encoder.compress_vint_sorted(&input, *offset);
|
||||
assert!(encoded_data.len() <= expected_length);
|
||||
let mut decoder = BlockDecoder::default();
|
||||
let consumed_num_bytes =
|
||||
decoder.uncompress_vint_sorted(&encoded_data, *offset, input.len(), PADDING_VALUE);
|
||||
assert_eq!(consumed_num_bytes, encoded_data.len());
|
||||
assert_eq!(input, decoder.output_array());
|
||||
for i in input.len()..COMPRESSION_BLOCK_SIZE {
|
||||
assert_eq!(decoder.output(i), PADDING_VALUE);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -292,6 +310,7 @@ pub mod tests {
|
||||
mod bench {
|
||||
|
||||
use super::*;
|
||||
use crate::TERMINATED;
|
||||
use rand::rngs::StdRng;
|
||||
use rand::Rng;
|
||||
use rand::SeedableRng;
|
||||
@@ -322,7 +341,7 @@ mod bench {
|
||||
let mut encoder = BlockEncoder::new();
|
||||
let data = generate_array(COMPRESSION_BLOCK_SIZE, 0.1);
|
||||
let (num_bits, compressed) = encoder.compress_block_sorted(&data, 0u32);
|
||||
let mut decoder = BlockDecoder::new();
|
||||
let mut decoder = BlockDecoder::default();
|
||||
b.iter(|| {
|
||||
decoder.uncompress_block_sorted(compressed, 0u32, num_bits);
|
||||
});
|
||||
@@ -357,9 +376,9 @@ mod bench {
|
||||
let mut encoder = BlockEncoder::new();
|
||||
let data = generate_array(NUM_INTS_BENCH_VINT, 0.001);
|
||||
let compressed = encoder.compress_vint_sorted(&data, 0u32);
|
||||
let mut decoder = BlockDecoder::new();
|
||||
let mut decoder = BlockDecoder::default();
|
||||
b.iter(|| {
|
||||
decoder.uncompress_vint_sorted(compressed, 0u32, NUM_INTS_BENCH_VINT);
|
||||
decoder.uncompress_vint_sorted(compressed, 0u32, NUM_INTS_BENCH_VINT, TERMINATED);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,6 +5,7 @@ Postings module (also called inverted index)
|
||||
mod block_search;
|
||||
mod block_segment_postings;
|
||||
pub(crate) mod compression;
|
||||
mod field_stats;
|
||||
mod postings;
|
||||
mod postings_writer;
|
||||
mod recorder;
|
||||
@@ -15,6 +16,7 @@ mod stacker;
|
||||
mod term_info;
|
||||
|
||||
pub(crate) use self::block_search::BlockSearcher;
|
||||
pub(crate) use self::field_stats::{FieldStat, FieldStats};
|
||||
|
||||
pub(crate) use self::postings_writer::MultiFieldPostingsWriter;
|
||||
pub use self::serializer::{FieldSerializer, InvertedIndexSerializer};
|
||||
@@ -65,47 +67,42 @@ pub mod tests {
|
||||
use std::iter;
|
||||
|
||||
#[test]
|
||||
pub fn test_position_write() {
|
||||
pub fn test_position_write() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut segment = index.new_segment();
|
||||
let mut posting_serializer = InvertedIndexSerializer::open(&mut segment).unwrap();
|
||||
{
|
||||
let mut field_serializer = posting_serializer
|
||||
.new_field(text_field, 120 * 4, None)
|
||||
.unwrap();
|
||||
field_serializer.new_term("abc".as_bytes(), 12u32).unwrap();
|
||||
for doc_id in 0u32..120u32 {
|
||||
let delta_positions = vec![1, 2, 3, 2];
|
||||
field_serializer
|
||||
.write_doc(doc_id, 4, &delta_positions)
|
||||
.unwrap();
|
||||
}
|
||||
field_serializer.close_term().unwrap();
|
||||
let mut posting_serializer = InvertedIndexSerializer::open(&mut segment)?;
|
||||
let mut field_serializer = posting_serializer.new_field(text_field, 120 * 4, None)?;
|
||||
field_serializer.new_term("abc".as_bytes(), 12u32)?;
|
||||
for doc_id in 0u32..120u32 {
|
||||
let delta_positions = vec![1, 2, 3, 2];
|
||||
field_serializer.write_doc(doc_id, 4, &delta_positions)?;
|
||||
}
|
||||
posting_serializer.close().unwrap();
|
||||
let read = segment.open_read(SegmentComponent::POSITIONS).unwrap();
|
||||
field_serializer.close_term()?;
|
||||
posting_serializer.close()?;
|
||||
let read = segment.open_read(SegmentComponent::POSITIONS)?;
|
||||
assert!(read.len() <= 140);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_skip_positions() {
|
||||
pub fn test_skip_positions() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 30_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(title => r#"abc abc abc"#));
|
||||
index_writer.add_document(doc!(title => r#"abc be be be be abc"#));
|
||||
for _ in 0..1_000 {
|
||||
index_writer.add_document(doc!(title => r#"abc abc abc"#));
|
||||
}
|
||||
index_writer.add_document(doc!(title => r#"abc be be be be abc"#));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.commit()?;
|
||||
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
let searcher = index.reader()?.searcher();
|
||||
let inverted_index = searcher.segment_reader(0u32).inverted_index(title);
|
||||
let term = Term::from_field_text(title, "abc");
|
||||
let mut positions = Vec::new();
|
||||
@@ -160,6 +157,7 @@ pub mod tests {
|
||||
postings.positions(&mut positions);
|
||||
assert_eq!(&[0, 5], &positions[..]);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -180,7 +178,7 @@ pub mod tests {
|
||||
.tokenizers()
|
||||
.register("simple_no_truncation", SimpleTokenizer);
|
||||
let reader = index.reader().unwrap();
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.set_merge_policy(Box::new(NoMergePolicy));
|
||||
{
|
||||
index_writer.add_document(doc!(text_field=>exceeding_token_text));
|
||||
@@ -209,7 +207,7 @@ pub mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_position_and_fieldnorm1() {
|
||||
pub fn test_position_and_fieldnorm1() -> crate::Result<()> {
|
||||
let mut positions = Vec::new();
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
@@ -221,42 +219,38 @@ pub mod tests {
|
||||
let mut segment_writer =
|
||||
SegmentWriter::for_segment(3_000_000, segment.clone(), &schema).unwrap();
|
||||
{
|
||||
let mut doc = Document::default();
|
||||
// checking that position works if the field has two values
|
||||
doc.add_text(text_field, "a b a c a d a a.");
|
||||
doc.add_text(text_field, "d d d d a");
|
||||
let op = AddOperation {
|
||||
opstamp: 0u64,
|
||||
document: doc,
|
||||
document: doc!(
|
||||
text_field => "a b a c a d a a.",
|
||||
text_field => "d d d d a"
|
||||
),
|
||||
};
|
||||
segment_writer.add_document(op, &schema).unwrap();
|
||||
segment_writer.add_document(op, &schema)?;
|
||||
}
|
||||
{
|
||||
let mut doc = Document::default();
|
||||
doc.add_text(text_field, "b a");
|
||||
let op = AddOperation {
|
||||
opstamp: 1u64,
|
||||
document: doc,
|
||||
document: doc!(text_field => "b a"),
|
||||
};
|
||||
segment_writer.add_document(op, &schema).unwrap();
|
||||
}
|
||||
for i in 2..1000 {
|
||||
let mut doc = Document::default();
|
||||
let mut text = iter::repeat("e ").take(i).collect::<String>();
|
||||
let mut text: String = iter::repeat("e ").take(i).collect();
|
||||
text.push_str(" a");
|
||||
doc.add_text(text_field, &text);
|
||||
let op = AddOperation {
|
||||
opstamp: 2u64,
|
||||
document: doc,
|
||||
document: doc!(text_field => text),
|
||||
};
|
||||
segment_writer.add_document(op, &schema).unwrap();
|
||||
}
|
||||
segment_writer.finalize().unwrap();
|
||||
segment_writer.finalize()?;
|
||||
}
|
||||
{
|
||||
let segment_reader = SegmentReader::open(&segment).unwrap();
|
||||
let segment_reader = SegmentReader::open(&segment)?;
|
||||
{
|
||||
let fieldnorm_reader = segment_reader.get_fieldnorms_reader(text_field);
|
||||
let fieldnorm_reader = segment_reader.get_fieldnorms_reader(text_field)?;
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(0), 8 + 5);
|
||||
assert_eq!(fieldnorm_reader.fieldnorm(1), 2);
|
||||
for i in 2..1000 {
|
||||
@@ -316,6 +310,7 @@ pub mod tests {
|
||||
assert_eq!(postings_e.doc(), TERMINATED);
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -326,7 +321,7 @@ pub mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field => "g b b d c g c"));
|
||||
index_writer.add_document(doc!(text_field => "g a b b a d c g c"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
@@ -358,7 +353,7 @@ pub mod tests {
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for i in 0u64..num_docs as u64 {
|
||||
let doc = doc!(value_field => 2u64, value_field => i % 2u64);
|
||||
index_writer.add_document(doc);
|
||||
@@ -429,7 +424,7 @@ pub mod tests {
|
||||
|
||||
// delete some of the documents
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.delete_term(term_0);
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
@@ -483,7 +478,7 @@ pub mod tests {
|
||||
|
||||
// delete everything else
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.delete_term(term_1);
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
@@ -526,7 +521,7 @@ pub mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
let posting_list_size = 1_000_000;
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for _ in 0..posting_list_size {
|
||||
let mut doc = Document::default();
|
||||
if rng.gen_bool(1f64 / 15f64) {
|
||||
@@ -734,7 +729,7 @@ mod bench {
|
||||
let mut s = 0u32;
|
||||
while segment_postings.doc() != TERMINATED {
|
||||
s += (segment_postings.doc() & n) % 1024;
|
||||
segment_postings.advance()
|
||||
segment_postings.advance();
|
||||
}
|
||||
s
|
||||
});
|
||||
|
||||
@@ -105,6 +105,7 @@ impl MultiFieldPostingsWriter {
|
||||
doc: DocId,
|
||||
field: Field,
|
||||
token_stream: &mut dyn TokenStream,
|
||||
term_buffer: &mut Term,
|
||||
) -> u32 {
|
||||
let postings_writer =
|
||||
self.per_field_postings_writers[field.field_id() as usize].deref_mut();
|
||||
@@ -114,6 +115,7 @@ impl MultiFieldPostingsWriter {
|
||||
field,
|
||||
token_stream,
|
||||
&mut self.heap,
|
||||
term_buffer,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -220,13 +222,20 @@ pub trait PostingsWriter {
|
||||
field: Field,
|
||||
token_stream: &mut dyn TokenStream,
|
||||
heap: &mut MemoryArena,
|
||||
term_buffer: &mut Term,
|
||||
) -> u32 {
|
||||
let mut term = Term::for_field(field);
|
||||
term_buffer.set_field(field);
|
||||
let mut sink = |token: &Token| {
|
||||
// We skip all tokens with a len greater than u16.
|
||||
if token.text.len() <= MAX_TOKEN_LEN {
|
||||
term.set_text(token.text.as_str());
|
||||
self.subscribe(term_index, doc_id, token.position as u32, &term, heap);
|
||||
term_buffer.set_text(token.text.as_str());
|
||||
self.subscribe(
|
||||
term_index,
|
||||
doc_id,
|
||||
token.position as u32,
|
||||
&term_buffer,
|
||||
heap,
|
||||
);
|
||||
} else {
|
||||
info!(
|
||||
"A token exceeding MAX_TOKEN_LEN ({}>{}) was dropped. Search for \
|
||||
|
||||
@@ -75,7 +75,9 @@ pub(crate) trait Recorder: Copy + 'static {
|
||||
serializer: &mut FieldSerializer<'_>,
|
||||
heap: &MemoryArena,
|
||||
) -> io::Result<()>;
|
||||
/// Returns the number of document containg this term.
|
||||
/// Returns the number of document containing this term.
|
||||
///
|
||||
/// Returns `None` if not available.
|
||||
fn term_doc_freq(&self) -> Option<u32>;
|
||||
}
|
||||
|
||||
|
||||
@@ -10,10 +10,10 @@ use crate::postings::BlockSearcher;
|
||||
use crate::postings::Postings;
|
||||
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::DocId;
|
||||
use crate::{DocId, TERMINATED};
|
||||
|
||||
use crate::directory::ReadOnlySource;
|
||||
use crate::fieldnorm::FieldNormReader;
|
||||
use crate::fastfield::DeleteBitSet;
|
||||
use crate::postings::BlockSegmentPostings;
|
||||
|
||||
/// `SegmentPostings` represents the inverted list or postings associated to
|
||||
@@ -21,6 +21,7 @@ use crate::postings::BlockSegmentPostings;
|
||||
///
|
||||
/// As we iterate through the `SegmentPostings`, the frequencies are optionally decoded.
|
||||
/// Positions on the other hand, are optionally entirely decoded upfront.
|
||||
#[derive(Clone)]
|
||||
pub struct SegmentPostings {
|
||||
pub(crate) block_cursor: BlockSegmentPostings,
|
||||
cur: usize,
|
||||
@@ -39,6 +40,25 @@ impl SegmentPostings {
|
||||
}
|
||||
}
|
||||
|
||||
/// Compute the number of non-deleted documents.
|
||||
///
|
||||
/// This method will clone and scan through the posting lists.
|
||||
/// (this is a rather expensive operation).
|
||||
pub fn doc_freq_given_deletes(&self, delete_bitset: &DeleteBitSet) -> u32 {
|
||||
let mut docset = self.clone();
|
||||
let mut doc_freq = 0;
|
||||
loop {
|
||||
let doc = docset.doc();
|
||||
if doc == TERMINATED {
|
||||
return doc_freq;
|
||||
}
|
||||
if delete_bitset.is_alive(doc) {
|
||||
doc_freq += 1u32;
|
||||
}
|
||||
docset.advance();
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns the overall number of documents in the block postings.
|
||||
/// It does not take in account whether documents are deleted or not.
|
||||
pub fn doc_freq(&self) -> u32 {
|
||||
@@ -56,7 +76,8 @@ impl SegmentPostings {
|
||||
pub fn create_from_docs(docs: &[u32]) -> SegmentPostings {
|
||||
let mut buffer = Vec::new();
|
||||
{
|
||||
let mut postings_serializer = PostingsSerializer::new(&mut buffer, false, false, None);
|
||||
let mut postings_serializer =
|
||||
PostingsSerializer::new(&mut buffer, 0.0, false, false, None);
|
||||
postings_serializer.new_term(docs.len() as u32);
|
||||
for &doc in docs {
|
||||
postings_serializer.write_doc(doc, 1u32);
|
||||
@@ -75,26 +96,48 @@ impl SegmentPostings {
|
||||
}
|
||||
|
||||
/// Helper functions to create `SegmentPostings` for tests.
|
||||
#[cfg(test)]
|
||||
pub fn create_from_docs_and_tfs(
|
||||
doc_and_tfs: &[(u32, u32)],
|
||||
fieldnorm_reader: Option<FieldNormReader>,
|
||||
) -> crate::Result<SegmentPostings> {
|
||||
let mut buffer = Vec::new();
|
||||
let mut postings_serializer =
|
||||
PostingsSerializer::new(&mut buffer, true, false, fieldnorm_reader);
|
||||
fieldnorms: Option<&[u32]>,
|
||||
) -> SegmentPostings {
|
||||
use crate::fieldnorm::FieldNormReader;
|
||||
use crate::Score;
|
||||
let mut buffer: Vec<u8> = Vec::new();
|
||||
let fieldnorm_reader = fieldnorms.map(FieldNormReader::for_test);
|
||||
let average_field_norm = fieldnorms
|
||||
.map(|fieldnorms| {
|
||||
if fieldnorms.len() == 0 {
|
||||
return 0.0;
|
||||
}
|
||||
let total_num_tokens: u64 = fieldnorms
|
||||
.iter()
|
||||
.map(|&fieldnorm| fieldnorm as u64)
|
||||
.sum::<u64>();
|
||||
total_num_tokens as Score / fieldnorms.len() as Score
|
||||
})
|
||||
.unwrap_or(0.0);
|
||||
let mut postings_serializer = PostingsSerializer::new(
|
||||
&mut buffer,
|
||||
average_field_norm,
|
||||
true,
|
||||
false,
|
||||
fieldnorm_reader,
|
||||
);
|
||||
postings_serializer.new_term(doc_and_tfs.len() as u32);
|
||||
for &(doc, tf) in doc_and_tfs {
|
||||
postings_serializer.write_doc(doc, tf);
|
||||
}
|
||||
postings_serializer
|
||||
.close_term(doc_and_tfs.len() as u32)?;
|
||||
.close_term(doc_and_tfs.len() as u32)
|
||||
.unwrap();
|
||||
let block_segment_postings = BlockSegmentPostings::from_data(
|
||||
doc_and_tfs.len() as u32,
|
||||
ReadOnlySource::from(buffer),
|
||||
IndexRecordOption::WithFreqs,
|
||||
IndexRecordOption::WithFreqs,
|
||||
);
|
||||
Ok(SegmentPostings::from_block_postings(block_segment_postings, None))
|
||||
SegmentPostings::from_block_postings(block_segment_postings, None)
|
||||
}
|
||||
|
||||
/// Reads a Segment postings from an &[u8]
|
||||
@@ -121,7 +164,7 @@ impl DocSet for SegmentPostings {
|
||||
// next needs to be called a first time to point to the correct element.
|
||||
#[inline]
|
||||
fn advance(&mut self) -> DocId {
|
||||
assert!(self.block_cursor.block_is_loaded());
|
||||
debug_assert!(self.block_cursor.block_is_loaded());
|
||||
if self.cur == COMPRESSION_BLOCK_SIZE - 1 {
|
||||
self.cur = 0;
|
||||
self.block_cursor.advance();
|
||||
@@ -228,6 +271,7 @@ mod tests {
|
||||
use crate::common::HasLen;
|
||||
|
||||
use crate::docset::{DocSet, TERMINATED};
|
||||
use crate::fastfield::DeleteBitSet;
|
||||
use crate::postings::postings::Postings;
|
||||
|
||||
#[test]
|
||||
@@ -250,4 +294,14 @@ mod tests {
|
||||
let postings = SegmentPostings::empty();
|
||||
assert_eq!(postings.term_freq(), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_doc_freq() {
|
||||
let docs = SegmentPostings::create_from_docs(&[0, 2, 10]);
|
||||
assert_eq!(docs.doc_freq(), 3);
|
||||
let delete_bitset = DeleteBitSet::for_test(&[2], 12);
|
||||
assert_eq!(docs.doc_freq_given_deletes(&delete_bitset), 2);
|
||||
let all_deleted = DeleteBitSet::for_test(&[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], 12);
|
||||
assert_eq!(docs.doc_freq_given_deletes(&all_deleted), 0);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
use super::TermInfo;
|
||||
use crate::common::{BinarySerializable, VInt};
|
||||
use super::{FieldStat, FieldStats, TermInfo};
|
||||
use crate::common::{CompositeWrite, CountingWriter};
|
||||
use crate::core::Segment;
|
||||
use crate::directory::WritePtr;
|
||||
@@ -11,7 +10,11 @@ use crate::query::BM25Weight;
|
||||
use crate::schema::Schema;
|
||||
use crate::schema::{Field, FieldEntry, FieldType};
|
||||
use crate::termdict::{TermDictionaryBuilder, TermOrdinal};
|
||||
use crate::DocId;
|
||||
use crate::{
|
||||
common::{BinarySerializable, VInt},
|
||||
directory::TerminatingWrite,
|
||||
};
|
||||
use crate::{DocId, Score};
|
||||
use std::cmp::Ordering;
|
||||
use std::io::{self, Write};
|
||||
|
||||
@@ -51,6 +54,8 @@ pub struct InvertedIndexSerializer {
|
||||
postings_write: CompositeWrite<WritePtr>,
|
||||
positions_write: CompositeWrite<WritePtr>,
|
||||
positionsidx_write: CompositeWrite<WritePtr>,
|
||||
field_stats: FieldStats,
|
||||
field_stats_write: WritePtr,
|
||||
schema: Schema,
|
||||
}
|
||||
|
||||
@@ -61,6 +66,7 @@ impl InvertedIndexSerializer {
|
||||
postings_write: CompositeWrite<WritePtr>,
|
||||
positions_write: CompositeWrite<WritePtr>,
|
||||
positionsidx_write: CompositeWrite<WritePtr>,
|
||||
field_stats_write: WritePtr,
|
||||
schema: Schema,
|
||||
) -> crate::Result<InvertedIndexSerializer> {
|
||||
Ok(InvertedIndexSerializer {
|
||||
@@ -68,18 +74,21 @@ impl InvertedIndexSerializer {
|
||||
postings_write,
|
||||
positions_write,
|
||||
positionsidx_write,
|
||||
field_stats: FieldStats::default(),
|
||||
field_stats_write,
|
||||
schema,
|
||||
})
|
||||
}
|
||||
|
||||
/// Open a new `PostingsSerializer` for the given segment
|
||||
pub fn open(segment: &mut Segment) -> crate::Result<InvertedIndexSerializer> {
|
||||
use crate::SegmentComponent::{POSITIONS, POSITIONSSKIP, POSTINGS, TERMS};
|
||||
use crate::SegmentComponent::{FIELDSTATS, POSITIONS, POSITIONSSKIP, POSTINGS, TERMS};
|
||||
InvertedIndexSerializer::create(
|
||||
CompositeWrite::wrap(segment.open_write(TERMS)?),
|
||||
CompositeWrite::wrap(segment.open_write(POSTINGS)?),
|
||||
CompositeWrite::wrap(segment.open_write(POSITIONS)?),
|
||||
CompositeWrite::wrap(segment.open_write(POSITIONSSKIP)?),
|
||||
segment.open_write(FIELDSTATS)?,
|
||||
segment.schema(),
|
||||
)
|
||||
}
|
||||
@@ -94,15 +103,17 @@ impl InvertedIndexSerializer {
|
||||
total_num_tokens: u64,
|
||||
fieldnorm_reader: Option<FieldNormReader>,
|
||||
) -> io::Result<FieldSerializer<'_>> {
|
||||
self.field_stats
|
||||
.insert(field, FieldStat::new(total_num_tokens));
|
||||
let field_entry: &FieldEntry = self.schema.get_field_entry(field);
|
||||
let term_dictionary_write = self.terms_write.for_field(field);
|
||||
let postings_write = self.postings_write.for_field(field);
|
||||
total_num_tokens.serialize(postings_write)?;
|
||||
let positions_write = self.positions_write.for_field(field);
|
||||
let positionsidx_write = self.positionsidx_write.for_field(field);
|
||||
let field_type: FieldType = (*field_entry.field_type()).clone();
|
||||
FieldSerializer::create(
|
||||
&field_type,
|
||||
total_num_tokens,
|
||||
term_dictionary_write,
|
||||
postings_write,
|
||||
positions_write,
|
||||
@@ -112,7 +123,10 @@ impl InvertedIndexSerializer {
|
||||
}
|
||||
|
||||
/// Closes the serializer.
|
||||
pub fn close(self) -> io::Result<()> {
|
||||
pub fn close(mut self) -> io::Result<()> {
|
||||
self.field_stats
|
||||
.serialize(self.field_stats_write.get_mut())?;
|
||||
self.field_stats_write.terminate()?;
|
||||
self.terms_write.close()?;
|
||||
self.postings_write.close()?;
|
||||
self.positions_write.close()?;
|
||||
@@ -135,6 +149,7 @@ pub struct FieldSerializer<'a> {
|
||||
impl<'a> FieldSerializer<'a> {
|
||||
fn create(
|
||||
field_type: &FieldType,
|
||||
total_num_tokens: u64,
|
||||
term_dictionary_write: &'a mut CountingWriter<WritePtr>,
|
||||
postings_write: &'a mut CountingWriter<WritePtr>,
|
||||
positions_write: &'a mut CountingWriter<WritePtr>,
|
||||
@@ -153,8 +168,13 @@ impl<'a> FieldSerializer<'a> {
|
||||
_ => (false, false),
|
||||
};
|
||||
let term_dictionary_builder = TermDictionaryBuilder::create(term_dictionary_write)?;
|
||||
let average_fieldnorm = fieldnorm_reader
|
||||
.as_ref()
|
||||
.map(|ff_reader| (total_num_tokens as Score / ff_reader.num_docs() as Score))
|
||||
.unwrap_or(0.0);
|
||||
let postings_serializer = PostingsSerializer::new(
|
||||
postings_write,
|
||||
average_fieldnorm,
|
||||
term_freq_enabled,
|
||||
position_enabled,
|
||||
fieldnorm_reader,
|
||||
@@ -183,7 +203,8 @@ impl<'a> FieldSerializer<'a> {
|
||||
.unwrap_or(0u64);
|
||||
TermInfo {
|
||||
doc_freq: 0,
|
||||
postings_offset: self.postings_serializer.addr(),
|
||||
postings_start_offset: self.postings_serializer.addr(),
|
||||
postings_end_offset: 0u64,
|
||||
positions_idx,
|
||||
}
|
||||
}
|
||||
@@ -197,6 +218,7 @@ impl<'a> FieldSerializer<'a> {
|
||||
!self.term_open,
|
||||
"Called new_term, while the previous term was not closed."
|
||||
);
|
||||
|
||||
self.term_open = true;
|
||||
self.postings_serializer.clear();
|
||||
self.current_term_info = self.current_term_info();
|
||||
@@ -236,10 +258,12 @@ impl<'a> FieldSerializer<'a> {
|
||||
/// using `VInt` encoding.
|
||||
pub fn close_term(&mut self) -> io::Result<()> {
|
||||
if self.term_open {
|
||||
self.term_dictionary_builder
|
||||
.insert_value(&self.current_term_info)?;
|
||||
self.postings_serializer
|
||||
.close_term(self.current_term_info.doc_freq)?;
|
||||
let end_offset = self.postings_serializer.addr();
|
||||
self.current_term_info.postings_end_offset = end_offset;
|
||||
self.term_dictionary_builder
|
||||
.insert_value(&self.current_term_info)?;
|
||||
self.term_open = false;
|
||||
}
|
||||
Ok(())
|
||||
@@ -322,29 +346,18 @@ pub struct PostingsSerializer<W: Write> {
|
||||
bm25_weight: Option<BM25Weight>,
|
||||
|
||||
num_docs: u32, // Number of docs in the segment
|
||||
avg_fieldnorm: f32, // Average number of term in the field for that segment.
|
||||
avg_fieldnorm: Score, // Average number of term in the field for that segment.
|
||||
// this value is used to compute the block wand information.
|
||||
}
|
||||
|
||||
fn get_avg_fieldnorm(fieldnorm_reader: &FieldNormReader) -> f32 {
|
||||
let num_docs = fieldnorm_reader.num_docs();
|
||||
let sum_fieldnorm: f32 = (0u32..num_docs)
|
||||
.map(|doc| fieldnorm_reader.fieldnorm(doc) as f32)
|
||||
.sum();
|
||||
sum_fieldnorm / (num_docs as f32)
|
||||
}
|
||||
|
||||
impl<W: Write> PostingsSerializer<W> {
|
||||
pub fn new(
|
||||
write: W,
|
||||
avg_fieldnorm: Score,
|
||||
termfreq_enabled: bool,
|
||||
termfreq_sum_enabled: bool,
|
||||
fieldnorm_reader: Option<FieldNormReader>,
|
||||
) -> PostingsSerializer<W> {
|
||||
let avg_fieldnorm: f32 = fieldnorm_reader
|
||||
.as_ref()
|
||||
.map(get_avg_fieldnorm)
|
||||
.unwrap_or(0f32);
|
||||
let num_docs = fieldnorm_reader
|
||||
.as_ref()
|
||||
.map(|fieldnorm_reader| fieldnorm_reader.num_docs())
|
||||
@@ -403,16 +416,14 @@ impl<W: Write> PostingsSerializer<W> {
|
||||
let sum_freq = self.block.term_freqs().iter().cloned().sum();
|
||||
self.skip_write.write_total_term_freq(sum_freq);
|
||||
}
|
||||
let mut blockwand_params_opt = None;
|
||||
let mut blockwand_params = (0u8, 0u32);
|
||||
if let Some(bm25_weight) = self.bm25_weight.as_ref() {
|
||||
if let Some(fieldnorm_reader) = self.fieldnorm_reader.as_ref() {
|
||||
let docs = self.block.doc_ids();
|
||||
let term_freqs = self.block.term_freqs();
|
||||
blockwand_params_opt = docs
|
||||
.iter()
|
||||
.cloned()
|
||||
.map(|doc| fieldnorm_reader.fieldnorm_id(doc))
|
||||
.zip(term_freqs.iter().cloned())
|
||||
let docs = self.block.doc_ids().iter().cloned();
|
||||
let term_freqs = self.block.term_freqs().iter().cloned();
|
||||
let fieldnorms = docs.map(|doc| fieldnorm_reader.fieldnorm_id(doc));
|
||||
blockwand_params = fieldnorms
|
||||
.zip(term_freqs)
|
||||
.max_by(
|
||||
|(left_fieldnorm_id, left_term_freq),
|
||||
(right_fieldnorm_id, right_term_freq)| {
|
||||
@@ -424,10 +435,11 @@ impl<W: Write> PostingsSerializer<W> {
|
||||
.partial_cmp(&right_score)
|
||||
.unwrap_or(Ordering::Equal)
|
||||
},
|
||||
);
|
||||
)
|
||||
.unwrap();
|
||||
}
|
||||
}
|
||||
let (fieldnorm_id, term_freq) = blockwand_params_opt.unwrap_or((0u8, 0u32));
|
||||
let (fieldnorm_id, term_freq) = blockwand_params;
|
||||
self.skip_write.write_blockwand_max(fieldnorm_id, term_freq);
|
||||
}
|
||||
self.block.clear();
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use crate::common::{BinarySerializable, VInt};
|
||||
use crate::common::{read_u32_vint_no_advance, serialize_vint_u32, BinarySerializable, VInt};
|
||||
use crate::directory::ReadOnlySource;
|
||||
use crate::postings::compression::{compressed_block_size, COMPRESSION_BLOCK_SIZE};
|
||||
use crate::query::BM25Weight;
|
||||
@@ -43,7 +43,9 @@ impl SkipSerializer {
|
||||
|
||||
pub fn write_blockwand_max(&mut self, fieldnorm_id: u8, term_freq: u32) {
|
||||
self.buffer.push(fieldnorm_id);
|
||||
VInt(term_freq as u64).serialize_into_vec(&mut self.buffer);
|
||||
let mut buf = [0u8; 8];
|
||||
let bytes = serialize_vint_u32(term_freq, &mut buf);
|
||||
self.buffer.extend_from_slice(bytes);
|
||||
}
|
||||
|
||||
pub fn data(&self) -> &[u8] {
|
||||
@@ -56,6 +58,7 @@ impl SkipSerializer {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
pub(crate) struct SkipReader {
|
||||
last_doc_in_block: DocId,
|
||||
pub(crate) last_doc_in_previous_block: DocId,
|
||||
@@ -69,7 +72,7 @@ pub(crate) struct SkipReader {
|
||||
position_offset: u64,
|
||||
}
|
||||
|
||||
#[derive(Clone, Copy, Debug)]
|
||||
#[derive(Clone, Eq, PartialEq, Copy, Debug)]
|
||||
pub(crate) enum BlockInfo {
|
||||
BitPacked {
|
||||
doc_num_bits: u8,
|
||||
@@ -128,6 +131,10 @@ impl SkipReader {
|
||||
}
|
||||
}
|
||||
|
||||
// Returns the block max score for this block if available.
|
||||
//
|
||||
// The block max score is available for all full bitpacked block,
|
||||
// but no available for the last VInt encoded incomplete block.
|
||||
pub fn block_max_score(&self, bm25_weight: &BM25Weight) -> Option<Score> {
|
||||
match self.block_info {
|
||||
BlockInfo::BitPacked {
|
||||
@@ -169,9 +176,9 @@ impl SkipReader {
|
||||
IndexRecordOption::WithFreqs => {
|
||||
let tf_num_bits = self.owned_read.get(1);
|
||||
let block_wand_fieldnorm_id = self.owned_read.get(2);
|
||||
self.owned_read.advance(3);
|
||||
let block_wand_term_freq =
|
||||
VInt::deserialize_u64(&mut self.owned_read).unwrap() as u32;
|
||||
let data = &self.owned_read.as_ref()[3..];
|
||||
let (block_wand_term_freq, num_bytes) = read_u32_vint_no_advance(data);
|
||||
self.owned_read.advance(3 + num_bytes);
|
||||
self.block_info = BlockInfo::BitPacked {
|
||||
doc_num_bits,
|
||||
tf_num_bits,
|
||||
@@ -207,9 +214,15 @@ impl SkipReader {
|
||||
///
|
||||
/// If the target is larger than all documents, the skip_reader
|
||||
/// then advance to the last Variable In block.
|
||||
pub fn seek(&mut self, target: DocId) {
|
||||
while self.last_doc_in_block() < target {
|
||||
pub fn seek(&mut self, target: DocId) -> bool {
|
||||
if self.last_doc_in_block() >= target {
|
||||
return false;
|
||||
}
|
||||
loop {
|
||||
self.advance();
|
||||
if self.last_doc_in_block() >= target {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -225,7 +238,7 @@ impl SkipReader {
|
||||
self.byte_offset += compressed_block_size(doc_num_bits + tf_num_bits);
|
||||
self.position_offset += tf_sum as u64;
|
||||
}
|
||||
BlockInfo::VInt { num_docs} => {
|
||||
BlockInfo::VInt { num_docs } => {
|
||||
debug_assert_eq!(num_docs, self.remaining_docs);
|
||||
self.remaining_docs = 0;
|
||||
self.byte_offset = std::usize::MAX;
|
||||
@@ -236,7 +249,9 @@ impl SkipReader {
|
||||
self.read_block_info();
|
||||
} else {
|
||||
self.last_doc_in_block = TERMINATED;
|
||||
self.block_info = BlockInfo::VInt { num_docs: self.remaining_docs };
|
||||
self.block_info = BlockInfo::VInt {
|
||||
num_docs: self.remaining_docs,
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -269,7 +284,7 @@ mod tests {
|
||||
IndexRecordOption::WithFreqs,
|
||||
);
|
||||
assert_eq!(skip_reader.last_doc_in_block(), 1u32);
|
||||
assert!(matches!(
|
||||
assert_eq!(
|
||||
skip_reader.block_info,
|
||||
BlockInfo::BitPacked {
|
||||
doc_num_bits: 2u8,
|
||||
@@ -278,10 +293,10 @@ mod tests {
|
||||
block_wand_fieldnorm_id: 13,
|
||||
block_wand_term_freq: 3
|
||||
}
|
||||
));
|
||||
);
|
||||
skip_reader.advance();
|
||||
assert_eq!(skip_reader.last_doc_in_block(), 5u32);
|
||||
assert!(matches!(
|
||||
assert_eq!(
|
||||
skip_reader.block_info(),
|
||||
BlockInfo::BitPacked {
|
||||
doc_num_bits: 5u8,
|
||||
@@ -290,13 +305,13 @@ mod tests {
|
||||
block_wand_fieldnorm_id: 8,
|
||||
block_wand_term_freq: 2
|
||||
}
|
||||
));
|
||||
);
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 3u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 3u32 });
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 });
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 });
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -314,7 +329,7 @@ mod tests {
|
||||
IndexRecordOption::Basic,
|
||||
);
|
||||
assert_eq!(skip_reader.last_doc_in_block(), 1u32);
|
||||
assert!(matches!(
|
||||
assert_eq!(
|
||||
skip_reader.block_info(),
|
||||
BlockInfo::BitPacked {
|
||||
doc_num_bits: 2u8,
|
||||
@@ -323,10 +338,10 @@ mod tests {
|
||||
block_wand_fieldnorm_id: 0,
|
||||
block_wand_term_freq: 0
|
||||
}
|
||||
));
|
||||
);
|
||||
skip_reader.advance();
|
||||
assert_eq!(skip_reader.last_doc_in_block(), 5u32);
|
||||
assert!(matches!(
|
||||
assert_eq!(
|
||||
skip_reader.block_info(),
|
||||
BlockInfo::BitPacked {
|
||||
doc_num_bits: 5u8,
|
||||
@@ -335,13 +350,13 @@ mod tests {
|
||||
block_wand_fieldnorm_id: 0,
|
||||
block_wand_term_freq: 0
|
||||
}
|
||||
));
|
||||
);
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 3u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 3u32 });
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 });
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 });
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -358,7 +373,7 @@ mod tests {
|
||||
IndexRecordOption::Basic,
|
||||
);
|
||||
assert_eq!(skip_reader.last_doc_in_block(), 1u32);
|
||||
assert!(matches!(
|
||||
assert_eq!(
|
||||
skip_reader.block_info(),
|
||||
BlockInfo::BitPacked {
|
||||
doc_num_bits: 2u8,
|
||||
@@ -367,8 +382,8 @@ mod tests {
|
||||
block_wand_fieldnorm_id: 0,
|
||||
block_wand_term_freq: 0
|
||||
}
|
||||
));
|
||||
);
|
||||
skip_reader.advance();
|
||||
assert!(matches!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 }));
|
||||
assert_eq!(skip_reader.block_info(), BlockInfo::VInt { num_docs: 0u32 });
|
||||
}
|
||||
}
|
||||
|
||||
@@ -7,35 +7,49 @@ use std::io;
|
||||
pub struct TermInfo {
|
||||
/// Number of documents in the segment containing the term
|
||||
pub doc_freq: u32,
|
||||
/// Start offset within the postings (`.idx`) file.
|
||||
pub postings_offset: u64,
|
||||
/// Start offset of the posting list within the postings (`.idx`) file.
|
||||
pub postings_start_offset: u64,
|
||||
/// End offset of the posting list within the postings (`.idx`) file.
|
||||
pub postings_end_offset: u64,
|
||||
/// Start offset of the first block within the position (`.pos`) file.
|
||||
pub positions_idx: u64,
|
||||
}
|
||||
|
||||
impl TermInfo {
|
||||
pub(crate) fn posting_num_bytes(&self) -> u32 {
|
||||
let num_bytes = self.postings_end_offset - self.postings_start_offset;
|
||||
assert!(num_bytes <= std::u32::MAX as u64);
|
||||
num_bytes as u32
|
||||
}
|
||||
}
|
||||
|
||||
impl FixedSize for TermInfo {
|
||||
/// Size required for the binary serialization of a `TermInfo` object.
|
||||
/// This is large, but in practise, `TermInfo` are encoded in blocks and
|
||||
/// only the first `TermInfo` of a block is serialized uncompressed.
|
||||
/// The subsequent `TermInfo` are delta encoded and bitpacked.
|
||||
const SIZE_IN_BYTES: usize = u32::SIZE_IN_BYTES + 2 * u64::SIZE_IN_BYTES;
|
||||
const SIZE_IN_BYTES: usize = 2 * u32::SIZE_IN_BYTES + 2 * u64::SIZE_IN_BYTES;
|
||||
}
|
||||
|
||||
impl BinarySerializable for TermInfo {
|
||||
fn serialize<W: io::Write>(&self, writer: &mut W) -> io::Result<()> {
|
||||
self.doc_freq.serialize(writer)?;
|
||||
self.postings_offset.serialize(writer)?;
|
||||
self.postings_start_offset.serialize(writer)?;
|
||||
self.posting_num_bytes().serialize(writer)?;
|
||||
self.positions_idx.serialize(writer)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let doc_freq = u32::deserialize(reader)?;
|
||||
let postings_offset = u64::deserialize(reader)?;
|
||||
let postings_start_offset = u64::deserialize(reader)?;
|
||||
let postings_num_bytes = u32::deserialize(reader)?;
|
||||
let postings_end_offset = postings_start_offset + u64::from(postings_num_bytes);
|
||||
let positions_idx = u64::deserialize(reader)?;
|
||||
Ok(TermInfo {
|
||||
doc_freq,
|
||||
postings_offset,
|
||||
postings_start_offset,
|
||||
postings_end_offset,
|
||||
positions_idx,
|
||||
})
|
||||
}
|
||||
|
||||
@@ -9,7 +9,7 @@ use crate::Score;
|
||||
|
||||
/// Query that matches all of the documents.
|
||||
///
|
||||
/// All of the document get the score 1f32.
|
||||
/// All of the document get the score 1.0.
|
||||
#[derive(Clone, Debug)]
|
||||
pub struct AllQuery;
|
||||
|
||||
@@ -23,7 +23,7 @@ impl Query for AllQuery {
|
||||
pub struct AllWeight;
|
||||
|
||||
impl Weight for AllWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> crate::Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
let all_scorer = AllScorer {
|
||||
doc: 0u32,
|
||||
max_doc: reader.max_doc(),
|
||||
@@ -35,7 +35,7 @@ impl Weight for AllWeight {
|
||||
if doc >= reader.max_doc() {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
Ok(Explanation::new("AllQuery", 1f32))
|
||||
Ok(Explanation::new("AllQuery", 1.0))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -66,7 +66,7 @@ impl DocSet for AllScorer {
|
||||
|
||||
impl Scorer for AllScorer {
|
||||
fn score(&mut self) -> Score {
|
||||
1f32
|
||||
1.0
|
||||
}
|
||||
}
|
||||
|
||||
@@ -83,7 +83,7 @@ mod tests {
|
||||
let field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(field=>"aaa"));
|
||||
index_writer.add_document(doc!(field=>"bbb"));
|
||||
index_writer.commit().unwrap();
|
||||
@@ -100,7 +100,7 @@ mod tests {
|
||||
let weight = AllQuery.weight(&searcher, false).unwrap();
|
||||
{
|
||||
let reader = searcher.segment_reader(0);
|
||||
let mut scorer = weight.scorer(reader, 1.0f32).unwrap();
|
||||
let mut scorer = weight.scorer(reader, 1.0).unwrap();
|
||||
assert_eq!(scorer.doc(), 0u32);
|
||||
assert_eq!(scorer.advance(), 1u32);
|
||||
assert_eq!(scorer.doc(), 1u32);
|
||||
@@ -108,7 +108,7 @@ mod tests {
|
||||
}
|
||||
{
|
||||
let reader = searcher.segment_reader(1);
|
||||
let mut scorer = weight.scorer(reader, 1.0f32).unwrap();
|
||||
let mut scorer = weight.scorer(reader, 1.0).unwrap();
|
||||
assert_eq!(scorer.doc(), 0u32);
|
||||
assert_eq!(scorer.advance(), TERMINATED);
|
||||
}
|
||||
@@ -122,14 +122,14 @@ mod tests {
|
||||
let weight = AllQuery.weight(&searcher, false).unwrap();
|
||||
let reader = searcher.segment_reader(0);
|
||||
{
|
||||
let mut scorer = weight.scorer(reader, 2.0f32).unwrap();
|
||||
let mut scorer = weight.scorer(reader, 2.0).unwrap();
|
||||
assert_eq!(scorer.doc(), 0u32);
|
||||
assert_eq!(scorer.score(), 2.0f32);
|
||||
assert_eq!(scorer.score(), 2.0);
|
||||
}
|
||||
{
|
||||
let mut scorer = weight.scorer(reader, 1.5f32).unwrap();
|
||||
let mut scorer = weight.scorer(reader, 1.5).unwrap();
|
||||
assert_eq!(scorer.doc(), 0u32);
|
||||
assert_eq!(scorer.score(), 1.5f32);
|
||||
assert_eq!(scorer.score(), 1.5);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,9 +5,8 @@ use crate::query::{BitSetDocSet, Explanation};
|
||||
use crate::query::{Scorer, Weight};
|
||||
use crate::schema::{Field, IndexRecordOption};
|
||||
use crate::termdict::{TermDictionary, TermStreamer};
|
||||
use crate::DocId;
|
||||
use crate::Result;
|
||||
use crate::TantivyError;
|
||||
use crate::{DocId, Score};
|
||||
use std::sync::Arc;
|
||||
use tantivy_fst::Automaton;
|
||||
|
||||
@@ -40,7 +39,7 @@ impl<A> Weight for AutomatonWeight<A>
|
||||
where
|
||||
A: Automaton + Send + Sync + 'static,
|
||||
{
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
let max_doc = reader.max_doc();
|
||||
let mut doc_bitset = BitSet::with_max_value(max_doc);
|
||||
let inverted_index = reader.inverted_index(self.field);
|
||||
@@ -66,10 +65,10 @@ where
|
||||
Ok(Box::new(const_scorer))
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
if scorer.seek(doc) == doc {
|
||||
Ok(Explanation::new("AutomatonScorer", 1.0f32))
|
||||
Ok(Explanation::new("AutomatonScorer", 1.0))
|
||||
} else {
|
||||
Err(TantivyError::InvalidArgument(
|
||||
"Document does not exist".to_string(),
|
||||
@@ -91,7 +90,7 @@ mod tests {
|
||||
let mut schema = Schema::builder();
|
||||
let title = schema.add_text_field("title", STRING);
|
||||
let index = Index::create_in_ram(schema.build());
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(title=>"abc"));
|
||||
index_writer.add_document(doc!(title=>"bcd"));
|
||||
index_writer.add_document(doc!(title=>"abcd"));
|
||||
@@ -144,13 +143,13 @@ mod tests {
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let mut scorer = automaton_weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.scorer(searcher.segment_reader(0u32), 1.0)
|
||||
.unwrap();
|
||||
assert_eq!(scorer.doc(), 0u32);
|
||||
assert_eq!(scorer.score(), 1.0f32);
|
||||
assert_eq!(scorer.score(), 1.0);
|
||||
assert_eq!(scorer.advance(), 2u32);
|
||||
assert_eq!(scorer.doc(), 2u32);
|
||||
assert_eq!(scorer.score(), 1.0f32);
|
||||
assert_eq!(scorer.score(), 1.0);
|
||||
assert_eq!(scorer.advance(), TERMINATED);
|
||||
}
|
||||
|
||||
@@ -162,9 +161,9 @@ mod tests {
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let mut scorer = automaton_weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.32f32)
|
||||
.scorer(searcher.segment_reader(0u32), 1.32)
|
||||
.unwrap();
|
||||
assert_eq!(scorer.doc(), 0u32);
|
||||
assert_eq!(scorer.score(), 1.32f32);
|
||||
assert_eq!(scorer.score(), 1.32);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -61,21 +61,23 @@ impl DocSet for BitSetDocSet {
|
||||
}
|
||||
|
||||
fn seek(&mut self, target: DocId) -> DocId {
|
||||
if target >= self.docs.max_value() {
|
||||
self.doc = TERMINATED;
|
||||
return TERMINATED;
|
||||
}
|
||||
let target_bucket = target / 64u32;
|
||||
|
||||
// Mask for all of the bits greater or equal
|
||||
// to our target document.
|
||||
if target_bucket > self.cursor_bucket {
|
||||
self.go_to_bucket(target_bucket);
|
||||
let greater_filter: TinySet = TinySet::range_greater_or_equal(target);
|
||||
self.cursor_tinybitset = self.cursor_tinybitset.intersect(greater_filter);
|
||||
self.advance();
|
||||
self.advance()
|
||||
} else {
|
||||
let mut doc = self.doc();
|
||||
while doc < target {
|
||||
doc = self.advance();
|
||||
}
|
||||
doc
|
||||
}
|
||||
let mut doc = self.doc();
|
||||
while doc < target {
|
||||
doc = self.advance();
|
||||
}
|
||||
doc
|
||||
}
|
||||
|
||||
/// Returns the current document
|
||||
@@ -114,6 +116,13 @@ mod tests {
|
||||
assert_eq!(empty.advance(), TERMINATED)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_seek_terminated() {
|
||||
let bitset = BitSet::with_max_value(1000);
|
||||
let mut empty = BitSetDocSet::from(bitset);
|
||||
assert_eq!(empty.seek(TERMINATED), TERMINATED)
|
||||
}
|
||||
|
||||
fn test_go_through_sequential(docs: &[DocId]) {
|
||||
let mut docset = create_docbitset(docs, 1_000u32);
|
||||
for &doc in docs {
|
||||
|
||||
@@ -6,21 +6,21 @@ use crate::Term;
|
||||
use serde::Deserialize;
|
||||
use serde::Serialize;
|
||||
|
||||
const K1: f32 = 1.2;
|
||||
const B: f32 = 0.75;
|
||||
const K1: Score = 1.2;
|
||||
const B: Score = 0.75;
|
||||
|
||||
fn idf(doc_freq: u64, doc_count: u64) -> f32 {
|
||||
fn idf(doc_freq: u64, doc_count: u64) -> Score {
|
||||
assert!(doc_count >= doc_freq, "{} >= {}", doc_count, doc_freq);
|
||||
let x = ((doc_count - doc_freq) as f32 + 0.5) / (doc_freq as f32 + 0.5);
|
||||
(1f32 + x).ln()
|
||||
let x = ((doc_count - doc_freq) as Score + 0.5) / (doc_freq as Score + 0.5);
|
||||
(1.0 + x).ln()
|
||||
}
|
||||
|
||||
fn cached_tf_component(fieldnorm: u32, average_fieldnorm: f32) -> f32 {
|
||||
K1 * (1f32 - B + B * fieldnorm as f32 / average_fieldnorm)
|
||||
fn cached_tf_component(fieldnorm: u32, average_fieldnorm: Score) -> Score {
|
||||
K1 * (1.0 - B + B * fieldnorm as Score / average_fieldnorm)
|
||||
}
|
||||
|
||||
fn compute_tf_cache(average_fieldnorm: f32) -> [f32; 256] {
|
||||
let mut cache = [0f32; 256];
|
||||
fn compute_tf_cache(average_fieldnorm: Score) -> [Score; 256] {
|
||||
let mut cache: [Score; 256] = [0.0; 256];
|
||||
for (fieldnorm_id, cache_mut) in cache.iter_mut().enumerate() {
|
||||
let fieldnorm = FieldNormReader::id_to_fieldnorm(fieldnorm_id as u8);
|
||||
*cache_mut = cached_tf_component(fieldnorm, average_fieldnorm);
|
||||
@@ -30,19 +30,20 @@ fn compute_tf_cache(average_fieldnorm: f32) -> [f32; 256] {
|
||||
|
||||
#[derive(Clone, PartialEq, Debug, Serialize, Deserialize)]
|
||||
pub struct BM25Params {
|
||||
pub idf: f32,
|
||||
pub avg_fieldnorm: f32,
|
||||
pub idf: Score,
|
||||
pub avg_fieldnorm: Score,
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
pub struct BM25Weight {
|
||||
idf_explain: Explanation,
|
||||
weight: f32,
|
||||
cache: [f32; 256],
|
||||
average_fieldnorm: f32,
|
||||
weight: Score,
|
||||
cache: [Score; 256],
|
||||
average_fieldnorm: Score,
|
||||
}
|
||||
|
||||
impl BM25Weight {
|
||||
pub fn boost_by(&self, boost: f32) -> BM25Weight {
|
||||
pub fn boost_by(&self, boost: Score) -> BM25Weight {
|
||||
BM25Weight {
|
||||
idf_explain: self.idf_explain.clone(),
|
||||
weight: self.weight * boost,
|
||||
@@ -69,7 +70,7 @@ impl BM25Weight {
|
||||
total_num_tokens += inverted_index.total_num_tokens();
|
||||
total_num_docs += u64::from(segment_reader.max_doc());
|
||||
}
|
||||
let average_fieldnorm = total_num_tokens as f32 / total_num_docs as f32;
|
||||
let average_fieldnorm = total_num_tokens as Score / total_num_docs as Score;
|
||||
|
||||
if terms.len() == 1 {
|
||||
let term_doc_freq = searcher.doc_freq(&terms[0]);
|
||||
@@ -81,26 +82,30 @@ impl BM25Weight {
|
||||
let term_doc_freq = searcher.doc_freq(term);
|
||||
idf(term_doc_freq, total_num_docs)
|
||||
})
|
||||
.sum::<f32>();
|
||||
.sum::<Score>();
|
||||
let idf_explain = Explanation::new("idf", idf);
|
||||
BM25Weight::new(idf_explain, average_fieldnorm)
|
||||
}
|
||||
}
|
||||
|
||||
pub fn for_one_term(term_doc_freq: u64, total_num_docs: u64, avg_fieldnorm: f32) -> BM25Weight {
|
||||
pub fn for_one_term(
|
||||
term_doc_freq: u64,
|
||||
total_num_docs: u64,
|
||||
avg_fieldnorm: Score,
|
||||
) -> BM25Weight {
|
||||
let idf = idf(term_doc_freq, total_num_docs);
|
||||
let mut idf_explain =
|
||||
Explanation::new("idf, computed as log(1 + (N - n + 0.5) / (n + 0.5))", idf);
|
||||
idf_explain.add_const(
|
||||
"n, number of docs containing this term",
|
||||
term_doc_freq as f32,
|
||||
term_doc_freq as Score,
|
||||
);
|
||||
idf_explain.add_const("N, total number of docs", total_num_docs as f32);
|
||||
idf_explain.add_const("N, total number of docs", total_num_docs as Score);
|
||||
BM25Weight::new(idf_explain, avg_fieldnorm)
|
||||
}
|
||||
|
||||
fn new(idf_explain: Explanation, average_fieldnorm: f32) -> BM25Weight {
|
||||
let weight = idf_explain.value() * (1f32 + K1);
|
||||
fn new(idf_explain: Explanation, average_fieldnorm: Score) -> BM25Weight {
|
||||
let weight = idf_explain.value() * (1.0 + K1);
|
||||
BM25Weight {
|
||||
idf_explain,
|
||||
weight,
|
||||
@@ -119,8 +124,8 @@ impl BM25Weight {
|
||||
}
|
||||
|
||||
#[inline(always)]
|
||||
pub(crate) fn tf_factor(&self, fieldnorm_id: u8, term_freq: u32) -> f32 {
|
||||
let term_freq = term_freq as f32;
|
||||
pub(crate) fn tf_factor(&self, fieldnorm_id: u8, term_freq: u32) -> Score {
|
||||
let term_freq = term_freq as Score;
|
||||
let norm = self.cache[fieldnorm_id as usize];
|
||||
term_freq / (term_freq + norm)
|
||||
}
|
||||
@@ -131,7 +136,7 @@ impl BM25Weight {
|
||||
let score = self.score(fieldnorm_id, term_freq);
|
||||
|
||||
let norm = self.cache[fieldnorm_id as usize];
|
||||
let term_freq = term_freq as f32;
|
||||
let term_freq = term_freq as Score;
|
||||
let right_factor = term_freq / (term_freq + norm);
|
||||
|
||||
let mut tf_explanation = Explanation::new(
|
||||
@@ -144,12 +149,12 @@ impl BM25Weight {
|
||||
tf_explanation.add_const("b, length normalization parameter", B);
|
||||
tf_explanation.add_const(
|
||||
"dl, length of field",
|
||||
FieldNormReader::id_to_fieldnorm(fieldnorm_id) as f32,
|
||||
FieldNormReader::id_to_fieldnorm(fieldnorm_id) as Score,
|
||||
);
|
||||
tf_explanation.add_const("avgdl, average length of field", self.average_fieldnorm);
|
||||
|
||||
let mut explanation = Explanation::new("TermQuery, product of...", score);
|
||||
explanation.add_detail(Explanation::new("(K1+1)", K1 + 1f32));
|
||||
explanation.add_detail(Explanation::new("(K1+1)", K1 + 1.0));
|
||||
explanation.add_detail(self.idf_explain.clone());
|
||||
explanation.add_detail(tf_explanation);
|
||||
explanation
|
||||
@@ -160,10 +165,11 @@ impl BM25Weight {
|
||||
mod tests {
|
||||
|
||||
use super::idf;
|
||||
use crate::assert_nearly_equals;
|
||||
use crate::{assert_nearly_equals, Score};
|
||||
|
||||
#[test]
|
||||
fn test_idf() {
|
||||
assert_nearly_equals!(idf(1, 2), std::f32::consts::LN_2);
|
||||
let score: Score = 2.0;
|
||||
assert_nearly_equals!(idf(1, 2), score.ln());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
use crate::query::term_query::TermScorer;
|
||||
use crate::query::Scorer;
|
||||
use crate::{DocId, DocSet, Score, TERMINATED};
|
||||
use std::ops::DerefMut;
|
||||
use std::ops::Deref;
|
||||
use std::ops::DerefMut;
|
||||
|
||||
/// Takes a term_scorers sorted by their current doc() and a threshold and returns
|
||||
/// Returns (pivot_len, pivot_ord) defined as follows:
|
||||
@@ -13,8 +13,11 @@ use std::ops::Deref;
|
||||
/// We always have `before_pivot_len` < `pivot_len`.
|
||||
///
|
||||
/// None is returned if we establish that no document can exceed the threshold.
|
||||
fn find_pivot_doc(term_scorers: &[TermScorerWithMaxScore], threshold: f32) -> Option<(usize, usize, DocId)> {
|
||||
let mut max_score = 0.0f32;
|
||||
fn find_pivot_doc(
|
||||
term_scorers: &[TermScorerWithMaxScore],
|
||||
threshold: Score,
|
||||
) -> Option<(usize, usize, DocId)> {
|
||||
let mut max_score = 0.0;
|
||||
let mut before_pivot_len = 0;
|
||||
let mut pivot_doc = TERMINATED;
|
||||
while before_pivot_len < term_scorers.len() {
|
||||
@@ -32,44 +35,19 @@ fn find_pivot_doc(term_scorers: &[TermScorerWithMaxScore], threshold: f32) -> Op
|
||||
// Right now i is an ordinal, we want a len.
|
||||
let mut pivot_len = before_pivot_len + 1;
|
||||
// Some other term_scorer may be positioned on the same document.
|
||||
pivot_len += term_scorers[pivot_len..].iter()
|
||||
pivot_len += term_scorers[pivot_len..]
|
||||
.iter()
|
||||
.take_while(|term_scorer| term_scorer.doc() == pivot_doc)
|
||||
.count();
|
||||
Some((before_pivot_len, pivot_len, pivot_doc))
|
||||
}
|
||||
|
||||
struct TermScorerWithMaxScore<'a> {
|
||||
scorer: &'a mut TermScorer,
|
||||
max_score: f32,
|
||||
}
|
||||
|
||||
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) {
|
||||
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() {
|
||||
@@ -86,9 +64,9 @@ fn block_max_was_too_low_advance_one_scorer(scorers: &mut Vec<TermScorerWithMaxS
|
||||
}
|
||||
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
|
||||
// except term_scorers[ord] that might be in advance compared to its ranks,
|
||||
// bubble up term_scorers[ord] in order to restore the ordering.
|
||||
@@ -100,15 +78,19 @@ fn restore_ordering(term_scorers: &mut Vec<TermScorerWithMaxScore>, ord: usize)
|
||||
}
|
||||
term_scorers.swap(i, i - 1);
|
||||
}
|
||||
debug_assert!(is_sorted(term_scorers.iter().map(|scorer| scorer.doc())));
|
||||
}
|
||||
|
||||
|
||||
// Attempts to advance all term_scorers between `&term_scorers[0..before_len]` to the pivot.
|
||||
// If this works, return true.
|
||||
// If this fails (ie: one of the term_scorer does not contain `pivot_doc` and seek goes past the
|
||||
// pivot), reorder the term_scorers to ensure the list is still sorted and returns `false`.
|
||||
// If a term_scorer reach TERMINATED in the process return false remove the term_scorer and return.
|
||||
fn align_scorers(term_scorers: &mut Vec<TermScorerWithMaxScore>, pivot_doc: DocId, before_pivot_len: usize) -> bool {
|
||||
fn align_scorers(
|
||||
term_scorers: &mut Vec<TermScorerWithMaxScore>,
|
||||
pivot_doc: DocId,
|
||||
before_pivot_len: usize,
|
||||
) -> bool {
|
||||
debug_assert_ne!(pivot_doc, TERMINATED);
|
||||
for i in (0..before_pivot_len).rev() {
|
||||
let new_doc = term_scorers[i].seek(pivot_doc);
|
||||
@@ -126,16 +108,20 @@ fn align_scorers(term_scorers: &mut Vec<TermScorerWithMaxScore>, pivot_doc: DocI
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
true
|
||||
}
|
||||
|
||||
// Assumes terms_scorers[..pivot_len] are positioned on the same doc (pivot_doc).
|
||||
// Advance term_scorers[..pivot_len] and out of these removes the terminated scores.
|
||||
// Restores the ordering of term_scorers.
|
||||
fn advance_all_scorers_on_pivot(term_scorers: &mut Vec<TermScorerWithMaxScore>, pivot_len: usize) {
|
||||
for term_scorer in &mut term_scorers[..pivot_len] {
|
||||
term_scorer.advance();
|
||||
}
|
||||
// TODO use drain_filter when available.
|
||||
let mut i = 0;
|
||||
for _ in 0..pivot_len {
|
||||
if term_scorers[i].advance() == TERMINATED {
|
||||
while i != term_scorers.len() {
|
||||
if term_scorers[i].doc() == TERMINATED {
|
||||
term_scorers.swap_remove(i);
|
||||
} else {
|
||||
i += 1;
|
||||
@@ -146,61 +132,303 @@ fn advance_all_scorers_on_pivot(term_scorers: &mut Vec<TermScorerWithMaxScore>,
|
||||
|
||||
pub fn block_wand(
|
||||
mut scorers: Vec<TermScorer>,
|
||||
mut threshold: f32,
|
||||
mut threshold: Score,
|
||||
callback: &mut dyn FnMut(u32, Score) -> Score,
|
||||
) {
|
||||
let mut scorers: Vec<TermScorerWithMaxScore> = scorers.iter_mut().map(TermScorerWithMaxScore::from).collect();
|
||||
let mut scorers: Vec<TermScorerWithMaxScore> = scorers
|
||||
.iter_mut()
|
||||
.map(TermScorerWithMaxScore::from)
|
||||
.collect();
|
||||
scorers.sort_by_key(|scorer| scorer.doc());
|
||||
loop {
|
||||
// At this point we need to ensure that the scorers are sorted!
|
||||
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();
|
||||
// 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)
|
||||
{
|
||||
debug_assert!(is_sorted(scorers.iter().map(|scorer| scorer.doc())));
|
||||
debug_assert_ne!(pivot_doc, TERMINATED);
|
||||
debug_assert!(before_pivot_len < pivot_len);
|
||||
|
||||
// Beware after shallow advance, skip readers can be in advance compared to
|
||||
// the segment posting lists.
|
||||
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.
|
||||
//
|
||||
// `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;
|
||||
}
|
||||
// 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;
|
||||
}
|
||||
|
||||
// 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);
|
||||
}
|
||||
}
|
||||
|
||||
// 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,
|
||||
}
|
||||
|
||||
} else {
|
||||
return;
|
||||
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;
|
||||
}
|
||||
prev = doc;
|
||||
}
|
||||
}
|
||||
true
|
||||
}
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate::query::score_combiner::SumCombiner;
|
||||
use crate::query::term_query::TermScorer;
|
||||
use crate::query::Union;
|
||||
use crate::query::{BM25Weight, Scorer};
|
||||
use crate::{DocId, DocSet, Score, TERMINATED};
|
||||
use proptest::prelude::*;
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::BinaryHeap;
|
||||
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)
|
||||
}
|
||||
}
|
||||
|
||||
fn nearly_equals(left: Score, right: Score) -> bool {
|
||||
(left - right).abs() < 0.000001 * (left + right).abs()
|
||||
}
|
||||
|
||||
fn compute_checkpoints_for_each_pruning(
|
||||
term_scorers: Vec<TermScorer>,
|
||||
n: usize,
|
||||
) -> Vec<(DocId, Score)> {
|
||||
let mut heap: BinaryHeap<Float> = BinaryHeap::with_capacity(n);
|
||||
let mut checkpoints: Vec<(DocId, Score)> = Vec::new();
|
||||
let mut limit: Score = 0.0;
|
||||
super::block_wand(term_scorers, Score::MIN, &mut |doc, score| {
|
||||
heap.push(Float(score));
|
||||
if heap.len() > n {
|
||||
heap.pop().unwrap();
|
||||
}
|
||||
if heap.len() == n {
|
||||
limit = heap.peek().unwrap().0;
|
||||
}
|
||||
if !nearly_equals(score, limit) {
|
||||
checkpoints.push((doc, score));
|
||||
}
|
||||
return limit;
|
||||
});
|
||||
checkpoints
|
||||
}
|
||||
|
||||
fn compute_checkpoints_manual(term_scorers: Vec<TermScorer>, n: usize) -> Vec<(DocId, Score)> {
|
||||
let mut heap: BinaryHeap<Float> = BinaryHeap::with_capacity(n);
|
||||
let mut checkpoints: Vec<(DocId, Score)> = Vec::new();
|
||||
let mut scorer: Union<TermScorer, SumCombiner> = Union::from(term_scorers);
|
||||
|
||||
let mut limit = Score::MIN;
|
||||
loop {
|
||||
if scorer.doc() == TERMINATED {
|
||||
break;
|
||||
}
|
||||
let doc = scorer.doc();
|
||||
let score = scorer.score();
|
||||
if score > limit {
|
||||
heap.push(Float(score));
|
||||
if heap.len() > n {
|
||||
heap.pop().unwrap();
|
||||
}
|
||||
if heap.len() == n {
|
||||
limit = heap.peek().unwrap().0;
|
||||
}
|
||||
if !nearly_equals(score, limit) {
|
||||
checkpoints.push((doc, score));
|
||||
}
|
||||
}
|
||||
scorer.advance();
|
||||
}
|
||||
checkpoints
|
||||
}
|
||||
|
||||
const MAX_TERM_FREQ: u32 = 100u32;
|
||||
|
||||
fn posting_list(max_doc: u32) -> BoxedStrategy<Vec<(DocId, u32)>> {
|
||||
(1..max_doc + 1)
|
||||
.prop_flat_map(move |doc_freq| {
|
||||
(
|
||||
proptest::bits::bitset::sampled(doc_freq as usize, 0..max_doc as usize),
|
||||
proptest::collection::vec(1u32..MAX_TERM_FREQ, doc_freq as usize),
|
||||
)
|
||||
})
|
||||
.prop_map(|(docset, term_freqs)| {
|
||||
docset
|
||||
.iter()
|
||||
.map(|doc| doc as u32)
|
||||
.zip(term_freqs.iter().cloned())
|
||||
.collect::<Vec<_>>()
|
||||
})
|
||||
.boxed()
|
||||
}
|
||||
|
||||
fn gen_term_scorers(num_scorers: usize) -> BoxedStrategy<(Vec<Vec<(DocId, u32)>>, Vec<u32>)> {
|
||||
(1u32..100u32)
|
||||
.prop_flat_map(move |max_doc: u32| {
|
||||
(
|
||||
proptest::collection::vec(posting_list(max_doc), num_scorers),
|
||||
proptest::collection::vec(2u32..10u32 * MAX_TERM_FREQ, max_doc as usize),
|
||||
)
|
||||
})
|
||||
.boxed()
|
||||
}
|
||||
|
||||
fn test_block_wand_aux(posting_lists: &[Vec<(DocId, u32)>], fieldnorms: &[u32]) {
|
||||
// We virtually repeat all docs 64 times in order to emulate blocks of 2 documents
|
||||
// and surface blogs more easily.
|
||||
const REPEAT: usize = 64;
|
||||
let fieldnorms_expanded = fieldnorms
|
||||
.iter()
|
||||
.cloned()
|
||||
.flat_map(|fieldnorm| iter::repeat(fieldnorm).take(REPEAT))
|
||||
.collect::<Vec<u32>>();
|
||||
|
||||
let postings_lists_expanded: Vec<Vec<(DocId, u32)>> = posting_lists
|
||||
.iter()
|
||||
.map(|posting_list| {
|
||||
posting_list
|
||||
.into_iter()
|
||||
.cloned()
|
||||
.flat_map(|(doc, term_freq)| {
|
||||
(0 as u32..REPEAT as u32).map(move |offset| {
|
||||
(
|
||||
doc * (REPEAT as u32) + offset,
|
||||
if offset == 0 { term_freq } else { 1 },
|
||||
)
|
||||
})
|
||||
})
|
||||
.collect::<Vec<(DocId, u32)>>()
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
let total_fieldnorms: u64 = fieldnorms_expanded
|
||||
.iter()
|
||||
.cloned()
|
||||
.map(|fieldnorm| fieldnorm as u64)
|
||||
.sum();
|
||||
let average_fieldnorm = (total_fieldnorms as Score) / (fieldnorms_expanded.len() as Score);
|
||||
let max_doc = fieldnorms_expanded.len();
|
||||
|
||||
let term_scorers: Vec<TermScorer> = postings_lists_expanded
|
||||
.iter()
|
||||
.map(|postings| {
|
||||
let bm25_weight = BM25Weight::for_one_term(
|
||||
postings.len() as u64,
|
||||
max_doc as u64,
|
||||
average_fieldnorm,
|
||||
);
|
||||
TermScorer::create_for_test(postings, &fieldnorms_expanded[..], bm25_weight)
|
||||
})
|
||||
.collect();
|
||||
for top_k in 1..4 {
|
||||
let checkpoints_for_each_pruning =
|
||||
compute_checkpoints_for_each_pruning(term_scorers.clone(), top_k);
|
||||
let checkpoints_manual = compute_checkpoints_manual(term_scorers.clone(), top_k);
|
||||
assert_eq!(checkpoints_for_each_pruning.len(), checkpoints_manual.len());
|
||||
for (&(left_doc, left_score), &(right_doc, right_score)) in checkpoints_for_each_pruning
|
||||
.iter()
|
||||
.zip(checkpoints_manual.iter())
|
||||
{
|
||||
assert_eq!(left_doc, right_doc);
|
||||
assert!(nearly_equals(left_score, right_score));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
proptest! {
|
||||
#![proptest_config(ProptestConfig::with_cases(500))]
|
||||
#[test]
|
||||
fn test_block_wand_two_term_scorers((posting_lists, fieldnorms) in gen_term_scorers(2)) {
|
||||
test_block_wand_aux(&posting_lists[..], &fieldnorms[..]);
|
||||
}
|
||||
}
|
||||
|
||||
proptest! {
|
||||
#![proptest_config(ProptestConfig::with_cases(500))]
|
||||
#[test]
|
||||
fn test_block_wand_three_term_scorers((posting_lists, fieldnorms) in gen_term_scorers(3)) {
|
||||
test_block_wand_aux(&posting_lists[..], &fieldnorms[..]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -78,7 +78,7 @@ impl BooleanWeight {
|
||||
fn per_occur_scorers(
|
||||
&self,
|
||||
reader: &SegmentReader,
|
||||
boost: f32,
|
||||
boost: Score,
|
||||
) -> crate::Result<HashMap<Occur, Vec<Box<dyn Scorer>>>> {
|
||||
let mut per_occur_scorers: HashMap<Occur, Vec<Box<dyn Scorer>>> = HashMap::new();
|
||||
for &(ref occur, ref subweight) in &self.weights {
|
||||
@@ -94,7 +94,7 @@ impl BooleanWeight {
|
||||
fn complex_scorer<TScoreCombiner: ScoreCombiner>(
|
||||
&self,
|
||||
reader: &SegmentReader,
|
||||
boost: f32,
|
||||
boost: Score,
|
||||
) -> crate::Result<SpecializedScorer> {
|
||||
let mut per_occur_scorers = self.per_occur_scorers(reader, boost)?;
|
||||
|
||||
@@ -147,7 +147,7 @@ impl BooleanWeight {
|
||||
}
|
||||
|
||||
impl Weight for BooleanWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> crate::Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
if self.weights.is_empty() {
|
||||
Ok(Box::new(EmptyScorer))
|
||||
} else if self.weights.len() == 1 {
|
||||
@@ -169,12 +169,12 @@ impl Weight for BooleanWeight {
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
if scorer.seek(doc) != doc {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
if !self.scoring_enabled {
|
||||
return Ok(Explanation::new("BooleanQuery with no scoring", 1f32));
|
||||
return Ok(Explanation::new("BooleanQuery with no scoring", 1.0));
|
||||
}
|
||||
|
||||
let mut explanation = Explanation::new("BooleanClause. Sum of ...", scorer.score());
|
||||
@@ -193,7 +193,7 @@ impl Weight for BooleanWeight {
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score),
|
||||
) -> crate::Result<()> {
|
||||
let scorer = self.complex_scorer::<SumWithCoordsCombiner>(reader, 1.0f32)?;
|
||||
let scorer = self.complex_scorer::<SumWithCoordsCombiner>(reader, 1.0)?;
|
||||
match scorer {
|
||||
SpecializedScorer::TermUnion(term_scorers) => {
|
||||
let mut union_scorer =
|
||||
@@ -219,11 +219,11 @@ impl Weight for BooleanWeight {
|
||||
/// important optimization (e.g. BlockWAND for union).
|
||||
fn for_each_pruning(
|
||||
&self,
|
||||
threshold: f32,
|
||||
threshold: Score,
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score) -> Score,
|
||||
) -> crate::Result<()> {
|
||||
let scorer = self.complex_scorer::<SumWithCoordsCombiner>(reader, 1.0f32)?;
|
||||
let scorer = self.complex_scorer::<SumWithCoordsCombiner>(reader, 1.0)?;
|
||||
match scorer {
|
||||
SpecializedScorer::TermUnion(term_scorers) => {
|
||||
super::block_wand(term_scorers, threshold, callback);
|
||||
|
||||
@@ -32,7 +32,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
{
|
||||
index_writer.add_document(doc!(text_field => "a b c"));
|
||||
index_writer.add_document(doc!(text_field => "a c"));
|
||||
@@ -61,9 +61,7 @@ mod tests {
|
||||
let query = query_parser.parse_query("+a").unwrap();
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
let weight = query.weight(&searcher, true).unwrap();
|
||||
let scorer = weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.unwrap();
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0).unwrap();
|
||||
assert!(scorer.is::<TermScorer>());
|
||||
}
|
||||
|
||||
@@ -75,17 +73,13 @@ mod tests {
|
||||
{
|
||||
let query = query_parser.parse_query("+a +b +c").unwrap();
|
||||
let weight = query.weight(&searcher, true).unwrap();
|
||||
let scorer = weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.unwrap();
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0).unwrap();
|
||||
assert!(scorer.is::<Intersection<TermScorer>>());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("+a +(b c)").unwrap();
|
||||
let weight = query.weight(&searcher, true).unwrap();
|
||||
let scorer = weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.unwrap();
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0).unwrap();
|
||||
assert!(scorer.is::<Intersection<Box<dyn Scorer>>>());
|
||||
}
|
||||
}
|
||||
@@ -98,9 +92,7 @@ mod tests {
|
||||
{
|
||||
let query = query_parser.parse_query("+a b").unwrap();
|
||||
let weight = query.weight(&searcher, true).unwrap();
|
||||
let scorer = weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.unwrap();
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0).unwrap();
|
||||
assert!(scorer.is::<RequiredOptionalScorer<
|
||||
Box<dyn Scorer>,
|
||||
Box<dyn Scorer>,
|
||||
@@ -110,9 +102,7 @@ mod tests {
|
||||
{
|
||||
let query = query_parser.parse_query("+a b").unwrap();
|
||||
let weight = query.weight(&searcher, false).unwrap();
|
||||
let scorer = weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.unwrap();
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0).unwrap();
|
||||
assert!(scorer.is::<TermScorer>());
|
||||
}
|
||||
}
|
||||
@@ -234,7 +224,7 @@ mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field => "a b c"));
|
||||
index_writer.add_document(doc!(text_field => "a c"));
|
||||
index_writer.add_document(doc!(text_field => "b c"));
|
||||
@@ -255,17 +245,17 @@ mod tests {
|
||||
let boolean_weight = boolean_query.weight(&searcher, true).unwrap();
|
||||
{
|
||||
let mut boolean_scorer = boolean_weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.scorer(searcher.segment_reader(0u32), 1.0)
|
||||
.unwrap();
|
||||
assert_eq!(boolean_scorer.doc(), 0u32);
|
||||
assert_nearly_equals!(boolean_scorer.score(), 0.84163445f32);
|
||||
assert_nearly_equals!(boolean_scorer.score(), 0.84163445);
|
||||
}
|
||||
{
|
||||
let mut boolean_scorer = boolean_weight
|
||||
.scorer(searcher.segment_reader(0u32), 2.0f32)
|
||||
.scorer(searcher.segment_reader(0u32), 2.0)
|
||||
.unwrap();
|
||||
assert_eq!(boolean_scorer.doc(), 0u32);
|
||||
assert_nearly_equals!(boolean_scorer.score(), 1.6832689f32);
|
||||
assert_nearly_equals!(boolean_scorer.score(), 1.6832689);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -295,170 +285,9 @@ mod tests {
|
||||
(Occur::Must, make_term_query("a")),
|
||||
(Occur::Must, make_term_query("b")),
|
||||
]);
|
||||
assert_eq!(score_docs(&boolean_query), vec![0.977973, 0.84699446]);
|
||||
let scores = score_docs(&boolean_query);
|
||||
assert_nearly_equals!(scores[0], 0.977973);
|
||||
assert_nearly_equals!(scores[1], 0.84699446);
|
||||
}
|
||||
}
|
||||
|
||||
// motivated by #554
|
||||
#[test]
|
||||
fn test_bm25_several_fields() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let text = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
// tf = 1 0
|
||||
title => "Законы притяжения Оксана Кулакова",
|
||||
// tf = 1 0
|
||||
text => "Законы притяжения Оксана Кулакова] \n\nТема: Сексуальное искусство, Женственность\nТип товара: Запись вебинара (аудио)\nПродолжительность: 1,5 часа\n\nСсылка на вебинар:\n ",
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
// tf = 1 0
|
||||
title => "Любимые русские пироги (Оксана Путан)",
|
||||
// tf = 2 0
|
||||
text => "http://i95.fastpic.ru/big/2017/0628/9a/615b9c8504d94a3893d7f496ac53539a.jpg \n\nОт издателя\nОксана Путан профессиональный повар, автор кулинарных книг и известный кулинарный блогер. Ее рецепты отличаются практичностью, доступностью и пользуются огромной популярностью в русскоязычном интернете. Это третья книга автора о самом вкусном и ароматном настоящих русских пирогах и выпечке!\nДаже новички на кухне легко готовят по ее рецептам. Оксана описывает процесс приготовления настолько подробно и понятно, что вам остается только наслаждаться готовкой и не тратить время на лишние усилия. Готовьте легко и просто!\n\nhttps://www.ozon.ru/context/detail/id/139872462/"
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
// tf = 1 1
|
||||
title => "PDF Мастер Класс \"Морячок\" (Оксана Лифенко)",
|
||||
// tf = 0 0
|
||||
text => "https://i.ibb.co/pzvHrDN/I3d U T6 Gg TM.jpg\nhttps://i.ibb.co/NFrb6v6/N0ls Z9nwjb U.jpg\nВ описание входит штаны, кофта, берет, матросский воротник. Описание продается в формате PDF, состоит из 12 страниц формата А4 и может быть напечатано на любом принтере.\nОписание предназначено для кукол BJD RealPuki от FairyLand, но может подойти и другим подобным куклам. Также вы можете вязать этот наряд из обычной пряжи, и он подойдет для куколок побольше.\nhttps://vk.com/market 95724412?w=product 95724412_2212"
|
||||
));
|
||||
for _ in 0..1_000 {
|
||||
index_writer.add_document(doc!(
|
||||
title => "a b d e f g",
|
||||
text => "maitre corbeau sur un arbre perche tenait dans son bec un fromage Maitre rnard par lodeur alleche lui tint a peu pres ce langage."
|
||||
));
|
||||
}
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let query_parser = QueryParser::for_index(&index, vec![title, text]);
|
||||
let query = query_parser.parse_query("Оксана Лифенко").unwrap();
|
||||
let weight = query.weight(&searcher, true).unwrap();
|
||||
let mut scorer = weight
|
||||
.scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.unwrap();
|
||||
scorer.advance();
|
||||
|
||||
let explanation = query.explain(&searcher, DocAddress(0u32, 0u32)).unwrap();
|
||||
assert_eq!(
|
||||
explanation.to_pretty_json(),
|
||||
r#"{
|
||||
"value": 12.997711,
|
||||
"description": "BooleanClause. Sum of ...",
|
||||
"details": [
|
||||
{
|
||||
"value": 12.997711,
|
||||
"description": "BooleanClause. Sum of ...",
|
||||
"details": [
|
||||
{
|
||||
"value": 6.551476,
|
||||
"description": "TermQuery, product of...",
|
||||
"details": [
|
||||
{
|
||||
"value": 2.2,
|
||||
"description": "(K1+1)"
|
||||
},
|
||||
{
|
||||
"value": 5.658984,
|
||||
"description": "idf, computed as log(1 + (N - n + 0.5) / (n + 0.5))",
|
||||
"details": [
|
||||
{
|
||||
"value": 3.0,
|
||||
"description": "n, number of docs containing this term"
|
||||
},
|
||||
{
|
||||
"value": 1003.0,
|
||||
"description": "N, total number of docs"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"value": 0.5262329,
|
||||
"description": "freq / (freq + k1 * (1 - b + b * dl / avgdl))",
|
||||
"details": [
|
||||
{
|
||||
"value": 1.0,
|
||||
"description": "freq, occurrences of term within document"
|
||||
},
|
||||
{
|
||||
"value": 1.2,
|
||||
"description": "k1, term saturation parameter"
|
||||
},
|
||||
{
|
||||
"value": 0.75,
|
||||
"description": "b, length normalization parameter"
|
||||
},
|
||||
{
|
||||
"value": 4.0,
|
||||
"description": "dl, length of field"
|
||||
},
|
||||
{
|
||||
"value": 5.997009,
|
||||
"description": "avgdl, average length of field"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"value": 6.446235,
|
||||
"description": "TermQuery, product of...",
|
||||
"details": [
|
||||
{
|
||||
"value": 2.2,
|
||||
"description": "(K1+1)"
|
||||
},
|
||||
{
|
||||
"value": 5.9954567,
|
||||
"description": "idf, computed as log(1 + (N - n + 0.5) / (n + 0.5))",
|
||||
"details": [
|
||||
{
|
||||
"value": 2.0,
|
||||
"description": "n, number of docs containing this term"
|
||||
},
|
||||
{
|
||||
"value": 1003.0,
|
||||
"description": "N, total number of docs"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"value": 0.4887212,
|
||||
"description": "freq / (freq + k1 * (1 - b + b * dl / avgdl))",
|
||||
"details": [
|
||||
{
|
||||
"value": 1.0,
|
||||
"description": "freq, occurrences of term within document"
|
||||
},
|
||||
{
|
||||
"value": 1.2,
|
||||
"description": "k1, term saturation parameter"
|
||||
},
|
||||
{
|
||||
"value": 0.75,
|
||||
"description": "b, length normalization parameter"
|
||||
},
|
||||
{
|
||||
"value": 20.0,
|
||||
"description": "dl, length of field"
|
||||
},
|
||||
{
|
||||
"value": 24.123629,
|
||||
"description": "avgdl, average length of field"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}"#
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use crate::fastfield::DeleteBitSet;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::{Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Searcher, SegmentReader, Term};
|
||||
use crate::{DocId, DocSet, Score, Searcher, SegmentReader, Term};
|
||||
use std::collections::BTreeSet;
|
||||
use std::fmt;
|
||||
|
||||
@@ -12,12 +12,12 @@ use std::fmt;
|
||||
/// factor.
|
||||
pub struct BoostQuery {
|
||||
query: Box<dyn Query>,
|
||||
boost: f32,
|
||||
boost: Score,
|
||||
}
|
||||
|
||||
impl BoostQuery {
|
||||
/// Builds a boost query.
|
||||
pub fn new(query: Box<dyn Query>, boost: f32) -> BoostQuery {
|
||||
pub fn new(query: Box<dyn Query>, boost: Score) -> BoostQuery {
|
||||
BoostQuery { query, boost }
|
||||
}
|
||||
}
|
||||
@@ -55,22 +55,22 @@ impl Query for BoostQuery {
|
||||
|
||||
pub(crate) struct BoostWeight {
|
||||
weight: Box<dyn Weight>,
|
||||
boost: f32,
|
||||
boost: Score,
|
||||
}
|
||||
|
||||
impl BoostWeight {
|
||||
pub fn new(weight: Box<dyn Weight>, boost: f32) -> Self {
|
||||
pub fn new(weight: Box<dyn Weight>, boost: Score) -> Self {
|
||||
BoostWeight { weight, boost }
|
||||
}
|
||||
}
|
||||
|
||||
impl Weight for BoostWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> crate::Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
self.weight.scorer(reader, boost * self.boost)
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: u32) -> crate::Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
if scorer.seek(doc) != doc {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
@@ -88,11 +88,11 @@ impl Weight for BoostWeight {
|
||||
|
||||
pub(crate) struct BoostScorer<S: Scorer> {
|
||||
underlying: S,
|
||||
boost: f32,
|
||||
boost: Score,
|
||||
}
|
||||
|
||||
impl<S: Scorer> BoostScorer<S> {
|
||||
pub fn new(underlying: S, boost: f32) -> BoostScorer<S> {
|
||||
pub fn new(underlying: S, boost: Score) -> BoostScorer<S> {
|
||||
BoostScorer { underlying, boost }
|
||||
}
|
||||
}
|
||||
@@ -128,7 +128,7 @@ impl<S: Scorer> DocSet for BoostScorer<S> {
|
||||
}
|
||||
|
||||
impl<S: Scorer> Scorer for BoostScorer<S> {
|
||||
fn score(&mut self) -> f32 {
|
||||
fn score(&mut self) -> Score {
|
||||
self.underlying.score() * self.boost
|
||||
}
|
||||
}
|
||||
@@ -144,7 +144,7 @@ mod tests {
|
||||
fn test_boost_query_explain() {
|
||||
let schema = Schema::builder().build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(Document::new());
|
||||
assert!(index_writer.commit().is_ok());
|
||||
let reader = index.reader().unwrap();
|
||||
|
||||
@@ -34,7 +34,7 @@ impl Query for EmptyQuery {
|
||||
/// It is useful for tests and handling edge cases.
|
||||
pub struct EmptyWeight;
|
||||
impl Weight for EmptyWeight {
|
||||
fn scorer(&self, _reader: &SegmentReader, _boost: f32) -> crate::Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, _reader: &SegmentReader, _boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
Ok(Box::new(EmptyScorer))
|
||||
}
|
||||
|
||||
@@ -64,7 +64,7 @@ impl DocSet for EmptyScorer {
|
||||
|
||||
impl Scorer for EmptyScorer {
|
||||
fn score(&mut self) -> Score {
|
||||
0f32
|
||||
0.0
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use crate::{DocId, TantivyError};
|
||||
use crate::{DocId, Score, TantivyError};
|
||||
use serde::Serialize;
|
||||
use std::fmt;
|
||||
|
||||
@@ -13,7 +13,7 @@ pub(crate) fn does_not_match(doc: DocId) -> TantivyError {
|
||||
/// representation of this tree when debugging a given score.
|
||||
#[derive(Clone, Serialize)]
|
||||
pub struct Explanation {
|
||||
value: f32,
|
||||
value: Score,
|
||||
description: String,
|
||||
#[serde(skip_serializing_if = "Vec::is_empty")]
|
||||
details: Vec<Explanation>,
|
||||
@@ -27,7 +27,7 @@ impl fmt::Debug for Explanation {
|
||||
|
||||
impl Explanation {
|
||||
/// Creates a new explanation object.
|
||||
pub fn new<T: ToString>(description: T, value: f32) -> Explanation {
|
||||
pub fn new<T: ToString>(description: T, value: Score) -> Explanation {
|
||||
Explanation {
|
||||
value,
|
||||
description: description.to_string(),
|
||||
@@ -36,7 +36,7 @@ impl Explanation {
|
||||
}
|
||||
|
||||
/// Returns the value associated to the current node.
|
||||
pub fn value(&self) -> f32 {
|
||||
pub fn value(&self) -> Score {
|
||||
self.value
|
||||
}
|
||||
|
||||
@@ -48,7 +48,7 @@ impl Explanation {
|
||||
}
|
||||
|
||||
/// Shortcut for `self.details.push(Explanation::new(name, value));`
|
||||
pub fn add_const<T: ToString>(&mut self, name: T, value: f32) {
|
||||
pub fn add_const<T: ToString>(&mut self, name: T, value: Score) {
|
||||
self.details.push(Explanation::new(name, value));
|
||||
}
|
||||
|
||||
|
||||
@@ -177,7 +177,7 @@ mod test {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
country_field => "japan",
|
||||
));
|
||||
@@ -199,7 +199,7 @@ mod test {
|
||||
.unwrap();
|
||||
assert_eq!(top_docs.len(), 1, "Expected only 1 document");
|
||||
let (score, _) = top_docs[0];
|
||||
assert_nearly_equals!(1f32, score);
|
||||
assert_nearly_equals!(1.0, score);
|
||||
}
|
||||
|
||||
// fails because non-prefix Levenshtein distance is more than 1 (add 'a' and 'n')
|
||||
@@ -223,7 +223,7 @@ mod test {
|
||||
.unwrap();
|
||||
assert_eq!(top_docs.len(), 1, "Expected only 1 document");
|
||||
let (score, _) = top_docs[0];
|
||||
assert_nearly_equals!(1f32, score);
|
||||
assert_nearly_equals!(1.0, score);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -24,7 +24,7 @@ pub mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for &text in texts {
|
||||
let doc = doc!(text_field=>text);
|
||||
index_writer.add_document(doc);
|
||||
@@ -79,7 +79,7 @@ pub mod tests {
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new(terms);
|
||||
let phrase_weight = phrase_query.phrase_weight(&searcher, false)?;
|
||||
let mut phrase_scorer = phrase_weight.scorer(searcher.segment_reader(0), 1.0f32)?;
|
||||
let mut phrase_scorer = phrase_weight.scorer(searcher.segment_reader(0), 1.0)?;
|
||||
assert_eq!(phrase_scorer.doc(), 1);
|
||||
assert_eq!(phrase_scorer.advance(), TERMINATED);
|
||||
Ok(())
|
||||
@@ -135,7 +135,7 @@ pub mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"a b c"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
@@ -186,7 +186,7 @@ pub mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"b"));
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
index_writer.add_document(doc!(text_field=>"b a"));
|
||||
@@ -217,7 +217,7 @@ pub mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"a b c d e f g h"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
|
||||
@@ -3,7 +3,7 @@ use crate::fieldnorm::FieldNormReader;
|
||||
use crate::postings::Postings;
|
||||
use crate::query::bm25::BM25Weight;
|
||||
use crate::query::{Intersection, Scorer};
|
||||
use crate::DocId;
|
||||
use crate::{DocId, Score};
|
||||
use std::cmp::Ordering;
|
||||
|
||||
struct PostingsWithOffset<TPostings> {
|
||||
@@ -257,7 +257,7 @@ impl<TPostings: Postings> DocSet for PhraseScorer<TPostings> {
|
||||
}
|
||||
|
||||
impl<TPostings: Postings> Scorer for PhraseScorer<TPostings> {
|
||||
fn score(&mut self) -> f32 {
|
||||
fn score(&mut self) -> Score {
|
||||
let doc = self.doc();
|
||||
let fieldnorm_id = self.fieldnorm_reader.fieldnorm_id(doc);
|
||||
self.similarity_weight
|
||||
|
||||
@@ -9,7 +9,7 @@ use crate::query::Weight;
|
||||
use crate::query::{EmptyScorer, Explanation};
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::schema::Term;
|
||||
use crate::Result;
|
||||
use crate::Score;
|
||||
use crate::{DocId, DocSet};
|
||||
|
||||
pub struct PhraseWeight {
|
||||
@@ -32,7 +32,7 @@ impl PhraseWeight {
|
||||
}
|
||||
}
|
||||
|
||||
fn fieldnorm_reader(&self, reader: &SegmentReader) -> FieldNormReader {
|
||||
fn fieldnorm_reader(&self, reader: &SegmentReader) -> crate::Result<FieldNormReader> {
|
||||
let field = self.phrase_terms[0].1.field();
|
||||
reader.get_fieldnorms_reader(field)
|
||||
}
|
||||
@@ -40,10 +40,10 @@ impl PhraseWeight {
|
||||
fn phrase_scorer(
|
||||
&self,
|
||||
reader: &SegmentReader,
|
||||
boost: f32,
|
||||
) -> Result<Option<PhraseScorer<SegmentPostings>>> {
|
||||
boost: Score,
|
||||
) -> crate::Result<Option<PhraseScorer<SegmentPostings>>> {
|
||||
let similarity_weight = self.similarity_weight.boost_by(boost);
|
||||
let fieldnorm_reader = self.fieldnorm_reader(reader);
|
||||
let fieldnorm_reader = self.fieldnorm_reader(reader)?;
|
||||
if reader.has_deletes() {
|
||||
let mut term_postings_list = Vec::new();
|
||||
for &(offset, ref term) in &self.phrase_terms {
|
||||
@@ -85,7 +85,7 @@ impl PhraseWeight {
|
||||
}
|
||||
|
||||
impl Weight for PhraseWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
if let Some(scorer) = self.phrase_scorer(reader, boost)? {
|
||||
Ok(Box::new(scorer))
|
||||
} else {
|
||||
@@ -93,8 +93,8 @@ impl Weight for PhraseWeight {
|
||||
}
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> Result<Explanation> {
|
||||
let scorer_opt = self.phrase_scorer(reader, 1.0f32)?;
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
|
||||
let scorer_opt = self.phrase_scorer(reader, 1.0)?;
|
||||
if scorer_opt.is_none() {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
@@ -102,7 +102,7 @@ impl Weight for PhraseWeight {
|
||||
if scorer.seek(doc) != doc {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
let fieldnorm_reader = self.fieldnorm_reader(reader);
|
||||
let fieldnorm_reader = self.fieldnorm_reader(reader)?;
|
||||
let fieldnorm_id = fieldnorm_reader.fieldnorm_id(doc);
|
||||
let phrase_count = scorer.phrase_count();
|
||||
let mut explanation = Explanation::new("Phrase Scorer", scorer.score());
|
||||
@@ -130,7 +130,7 @@ mod tests {
|
||||
]);
|
||||
let phrase_weight = phrase_query.phrase_weight(&searcher, true).unwrap();
|
||||
let mut phrase_scorer = phrase_weight
|
||||
.phrase_scorer(searcher.segment_reader(0u32), 1.0f32)
|
||||
.phrase_scorer(searcher.segment_reader(0u32), 1.0)
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
assert_eq!(phrase_scorer.doc(), 1);
|
||||
|
||||
@@ -40,7 +40,7 @@ use std::fmt;
|
||||
///
|
||||
/// When implementing a new type of `Query`, it is normal to implement a
|
||||
/// dedicated `Query`, `Weight` and `Scorer`.
|
||||
pub trait Query: QueryClone + downcast_rs::Downcast + fmt::Debug {
|
||||
pub trait Query: QueryClone + Send + Sync + downcast_rs::Downcast + fmt::Debug {
|
||||
/// Create the weight associated to a query.
|
||||
///
|
||||
/// If scoring is not required, setting `scoring_enabled` to `false`
|
||||
|
||||
@@ -2,6 +2,7 @@ use crate::query::Occur;
|
||||
use crate::schema::Field;
|
||||
use crate::schema::Term;
|
||||
use crate::schema::Type;
|
||||
use crate::Score;
|
||||
use std::fmt;
|
||||
use std::ops::Bound;
|
||||
|
||||
@@ -21,12 +22,12 @@ pub enum LogicalLiteral {
|
||||
pub enum LogicalAST {
|
||||
Clause(Vec<(Occur, LogicalAST)>),
|
||||
Leaf(Box<LogicalLiteral>),
|
||||
Boost(Box<LogicalAST>, f32),
|
||||
Boost(Box<LogicalAST>, Score),
|
||||
}
|
||||
|
||||
impl LogicalAST {
|
||||
pub fn boost(self, boost: f32) -> LogicalAST {
|
||||
if (boost - 1.0f32).abs() < std::f32::EPSILON {
|
||||
pub fn boost(self, boost: Score) -> LogicalAST {
|
||||
if (boost - 1.0).abs() < Score::EPSILON {
|
||||
self
|
||||
} else {
|
||||
LogicalAST::Boost(Box::new(self), boost)
|
||||
|
||||
@@ -12,6 +12,7 @@ use crate::schema::{Facet, IndexRecordOption};
|
||||
use crate::schema::{Field, Schema};
|
||||
use crate::schema::{FieldType, Term};
|
||||
use crate::tokenizer::TokenizerManager;
|
||||
use crate::Score;
|
||||
use std::borrow::Cow;
|
||||
use std::collections::HashMap;
|
||||
use std::num::{ParseFloatError, ParseIntError};
|
||||
@@ -172,7 +173,7 @@ pub struct QueryParser {
|
||||
default_fields: Vec<Field>,
|
||||
conjunction_by_default: bool,
|
||||
tokenizer_manager: TokenizerManager,
|
||||
boost: HashMap<Field, f32>,
|
||||
boost: HashMap<Field, Score>,
|
||||
}
|
||||
|
||||
fn all_negative(ast: &LogicalAST) -> bool {
|
||||
@@ -228,7 +229,7 @@ impl QueryParser {
|
||||
/// If the query defines a query boost through the query language (e.g: `country:France^3.0`),
|
||||
/// the two boosts (the one defined in the query, and the one defined in the `QueryParser`)
|
||||
/// are multiplied together.
|
||||
pub fn set_field_boost(&mut self, field: Field, boost: f32) {
|
||||
pub fn set_field_boost(&mut self, field: Field, boost: Score) {
|
||||
self.boost.insert(field, boost);
|
||||
}
|
||||
|
||||
@@ -440,14 +441,14 @@ impl QueryParser {
|
||||
}
|
||||
UserInputAST::Boost(ast, boost) => {
|
||||
let ast = self.compute_logical_ast_with_occur(*ast)?;
|
||||
Ok(ast.boost(boost))
|
||||
Ok(ast.boost(boost as Score))
|
||||
}
|
||||
UserInputAST::Leaf(leaf) => self.compute_logical_ast_from_leaf(*leaf),
|
||||
}
|
||||
}
|
||||
|
||||
fn field_boost(&self, field: Field) -> f32 {
|
||||
self.boost.get(&field).cloned().unwrap_or(1.0f32)
|
||||
fn field_boost(&self, field: Field) -> Score {
|
||||
self.boost.get(&field).cloned().unwrap_or(1.0)
|
||||
}
|
||||
|
||||
fn compute_logical_ast_from_leaf(
|
||||
@@ -658,7 +659,7 @@ mod test {
|
||||
let mut query_parser = make_query_parser();
|
||||
let schema = make_schema();
|
||||
let text_field = schema.get_field("text").unwrap();
|
||||
query_parser.set_field_boost(text_field, 2.0f32);
|
||||
query_parser.set_field_boost(text_field, 2.0);
|
||||
let query = query_parser.parse_query("text:hello").unwrap();
|
||||
assert_eq!(
|
||||
format!("{:?}", query),
|
||||
@@ -671,7 +672,7 @@ mod test {
|
||||
let mut query_parser = make_query_parser();
|
||||
let schema = make_schema();
|
||||
let title_field = schema.get_field("title").unwrap();
|
||||
query_parser.set_field_boost(title_field, 2.0f32);
|
||||
query_parser.set_field_boost(title_field, 2.0);
|
||||
let query = query_parser.parse_query("title:[A TO B]").unwrap();
|
||||
assert_eq!(
|
||||
format!("{:?}", query),
|
||||
@@ -684,7 +685,7 @@ mod test {
|
||||
let mut query_parser = make_query_parser();
|
||||
let schema = make_schema();
|
||||
let text_field = schema.get_field("text").unwrap();
|
||||
query_parser.set_field_boost(text_field, 2.0f32);
|
||||
query_parser.set_field_boost(text_field, 2.0);
|
||||
let query = query_parser.parse_query("text:hello^2").unwrap();
|
||||
assert_eq!(
|
||||
format!("{:?}", query),
|
||||
|
||||
@@ -9,8 +9,7 @@ use crate::query::{Query, Scorer, Weight};
|
||||
use crate::schema::Type;
|
||||
use crate::schema::{Field, IndexRecordOption, Term};
|
||||
use crate::termdict::{TermDictionary, TermStreamer};
|
||||
use crate::DocId;
|
||||
use crate::Result;
|
||||
use crate::{DocId, Score};
|
||||
use std::collections::Bound;
|
||||
use std::ops::Range;
|
||||
|
||||
@@ -48,7 +47,7 @@ fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
|
||||
/// let schema = schema_builder.build();
|
||||
///
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 6_000_000)?;
|
||||
/// let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
|
||||
/// for year in 1950u64..2017u64 {
|
||||
/// let num_docs_within_year = 10 + (year - 1950) * (year - 1950);
|
||||
/// for _ in 0..num_docs_within_year {
|
||||
@@ -246,7 +245,11 @@ impl RangeQuery {
|
||||
}
|
||||
|
||||
impl Query for RangeQuery {
|
||||
fn weight(&self, searcher: &Searcher, _scoring_enabled: bool) -> Result<Box<dyn Weight>> {
|
||||
fn weight(
|
||||
&self,
|
||||
searcher: &Searcher,
|
||||
_scoring_enabled: bool,
|
||||
) -> crate::Result<Box<dyn Weight>> {
|
||||
let schema = searcher.schema();
|
||||
let value_type = schema.get_field_entry(self.field).field_type().value_type();
|
||||
if value_type != self.value_type {
|
||||
@@ -289,7 +292,7 @@ impl RangeWeight {
|
||||
}
|
||||
|
||||
impl Weight for RangeWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
let max_doc = reader.max_doc();
|
||||
let mut doc_bitset = BitSet::with_max_value(max_doc);
|
||||
|
||||
@@ -315,12 +318,12 @@ impl Weight for RangeWeight {
|
||||
Ok(Box::new(ConstScorer::new(doc_bitset, boost)))
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
if scorer.seek(doc) != doc {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
Ok(Explanation::new("RangeQuery", 1.0f32))
|
||||
Ok(Explanation::new("RangeQuery", 1.0))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -328,8 +331,9 @@ impl Weight for RangeWeight {
|
||||
mod tests {
|
||||
|
||||
use super::RangeQuery;
|
||||
use crate::collector::Count;
|
||||
use crate::schema::{Document, Field, Schema, INDEXED};
|
||||
use crate::collector::{Count, TopDocs};
|
||||
use crate::query::QueryParser;
|
||||
use crate::schema::{Document, Field, Schema, INDEXED, TEXT};
|
||||
use crate::Index;
|
||||
use std::collections::Bound;
|
||||
|
||||
@@ -341,7 +345,7 @@ mod tests {
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 6_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
for year in 1950u64..2017u64 {
|
||||
let num_docs_within_year = 10 + (year - 1950) * (year - 1950);
|
||||
for _ in 0..num_docs_within_year {
|
||||
@@ -476,4 +480,28 @@ mod tests {
|
||||
91
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_bug_reproduce_range_query() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
schema_builder.add_text_field("title", TEXT);
|
||||
schema_builder.add_i64_field("year", INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
let title = schema.get_field("title").unwrap();
|
||||
let year = schema.get_field("year").unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
title => "hemoglobin blood",
|
||||
year => 1990 as i64
|
||||
));
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
let query = query_parser.parse_query("hemoglobin AND year:[1970 TO 1990]")?;
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
|
||||
assert_eq!(top_docs.len(), 1);
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -103,7 +103,7 @@ mod test {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
country_field => "japan",
|
||||
));
|
||||
@@ -129,7 +129,7 @@ mod test {
|
||||
.unwrap();
|
||||
assert_eq!(scored_docs.len(), 1, "Expected only 1 document");
|
||||
let (score, _) = scored_docs[0];
|
||||
assert_nearly_equals!(1f32, score);
|
||||
assert_nearly_equals!(1.0, score);
|
||||
}
|
||||
let top_docs = searcher
|
||||
.search(&query_matching_zero, &TopDocs::with_limit(2))
|
||||
|
||||
@@ -112,47 +112,47 @@ mod tests {
|
||||
fn test_reqopt_scorer() {
|
||||
let mut reqoptscorer: RequiredOptionalScorer<_, _, SumCombiner> =
|
||||
RequiredOptionalScorer::new(
|
||||
ConstScorer::new(VecDocSet::from(vec![1, 3, 7, 8, 9, 10, 13, 15]), 1.0f32),
|
||||
ConstScorer::new(VecDocSet::from(vec![1, 2, 7, 11, 12, 15]), 1.0f32),
|
||||
ConstScorer::new(VecDocSet::from(vec![1, 3, 7, 8, 9, 10, 13, 15]), 1.0),
|
||||
ConstScorer::new(VecDocSet::from(vec![1, 2, 7, 11, 12, 15]), 1.0),
|
||||
);
|
||||
{
|
||||
assert_eq!(reqoptscorer.doc(), 1);
|
||||
assert_eq!(reqoptscorer.score(), 2f32);
|
||||
assert_eq!(reqoptscorer.score(), 2.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 3);
|
||||
assert_eq!(reqoptscorer.doc(), 3);
|
||||
assert_eq!(reqoptscorer.score(), 1f32);
|
||||
assert_eq!(reqoptscorer.score(), 1.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 7);
|
||||
assert_eq!(reqoptscorer.doc(), 7);
|
||||
assert_eq!(reqoptscorer.score(), 2f32);
|
||||
assert_eq!(reqoptscorer.score(), 2.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 8);
|
||||
assert_eq!(reqoptscorer.doc(), 8);
|
||||
assert_eq!(reqoptscorer.score(), 1f32);
|
||||
assert_eq!(reqoptscorer.score(), 1.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 9);
|
||||
assert_eq!(reqoptscorer.doc(), 9);
|
||||
assert_eq!(reqoptscorer.score(), 1f32);
|
||||
assert_eq!(reqoptscorer.score(), 1.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 10);
|
||||
assert_eq!(reqoptscorer.doc(), 10);
|
||||
assert_eq!(reqoptscorer.score(), 1f32);
|
||||
assert_eq!(reqoptscorer.score(), 1.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 13);
|
||||
assert_eq!(reqoptscorer.doc(), 13);
|
||||
assert_eq!(reqoptscorer.score(), 1f32);
|
||||
assert_eq!(reqoptscorer.score(), 1.0);
|
||||
}
|
||||
{
|
||||
assert_eq!(reqoptscorer.advance(), 15);
|
||||
assert_eq!(reqoptscorer.doc(), 15);
|
||||
assert_eq!(reqoptscorer.score(), 2f32);
|
||||
assert_eq!(reqoptscorer.score(), 2.0);
|
||||
}
|
||||
assert_eq!(reqoptscorer.advance(), TERMINATED);
|
||||
}
|
||||
|
||||
@@ -31,7 +31,7 @@ impl ScoreCombiner for DoNothingCombiner {
|
||||
fn clear(&mut self) {}
|
||||
|
||||
fn score(&self) -> Score {
|
||||
1f32
|
||||
1.0
|
||||
}
|
||||
}
|
||||
|
||||
@@ -47,7 +47,7 @@ impl ScoreCombiner for SumCombiner {
|
||||
}
|
||||
|
||||
fn clear(&mut self) {
|
||||
self.score = 0f32;
|
||||
self.score = 0.0;
|
||||
}
|
||||
|
||||
fn score(&self) -> Score {
|
||||
@@ -70,7 +70,7 @@ impl ScoreCombiner for SumWithCoordsCombiner {
|
||||
}
|
||||
|
||||
fn clear(&mut self) {
|
||||
self.score = 0f32;
|
||||
self.score = 0.0;
|
||||
self.num_fields = 0;
|
||||
}
|
||||
|
||||
|
||||
@@ -35,14 +35,14 @@ pub struct ConstScorer<TDocSet: DocSet> {
|
||||
|
||||
impl<TDocSet: DocSet> ConstScorer<TDocSet> {
|
||||
/// Creates a new `ConstScorer`.
|
||||
pub fn new(docset: TDocSet, score: f32) -> ConstScorer<TDocSet> {
|
||||
pub fn new(docset: TDocSet, score: Score) -> ConstScorer<TDocSet> {
|
||||
ConstScorer { docset, score }
|
||||
}
|
||||
}
|
||||
|
||||
impl<TDocSet: DocSet> From<TDocSet> for ConstScorer<TDocSet> {
|
||||
fn from(docset: TDocSet) -> Self {
|
||||
ConstScorer::new(docset, 1.0f32)
|
||||
ConstScorer::new(docset, 1.0)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -15,7 +15,7 @@ mod tests {
|
||||
use crate::postings::compression::COMPRESSION_BLOCK_SIZE;
|
||||
use crate::query::{Query, QueryParser, Scorer, TermQuery};
|
||||
use crate::schema::{Field, IndexRecordOption, Schema, STRING, TEXT};
|
||||
use crate::{Term, Index, TERMINATED};
|
||||
use crate::{Index, Term, TERMINATED};
|
||||
|
||||
#[test]
|
||||
pub fn test_term_query_no_freq() {
|
||||
@@ -25,7 +25,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let doc = doc!(text_field => "a");
|
||||
index_writer.add_document(doc);
|
||||
assert!(index_writer.commit().is_ok());
|
||||
@@ -37,9 +37,9 @@ mod tests {
|
||||
);
|
||||
let term_weight = term_query.weight(&searcher, true).unwrap();
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let mut term_scorer = term_weight.scorer(segment_reader, 1.0f32).unwrap();
|
||||
let mut term_scorer = term_weight.scorer(segment_reader, 1.0).unwrap();
|
||||
assert_eq!(term_scorer.doc(), 0);
|
||||
assert_eq!(term_scorer.score(), 0.28768212);
|
||||
assert_nearly_equals!(term_scorer.score(), 0.28768212);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -50,7 +50,7 @@ mod tests {
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000)?;
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
for _ in 0..COMPRESSION_BLOCK_SIZE {
|
||||
let doc = doc!(text_field => "a");
|
||||
index_writer.add_document(doc);
|
||||
@@ -64,7 +64,7 @@ mod tests {
|
||||
);
|
||||
let term_weight = term_query.weight(&searcher, true)?;
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let mut term_scorer = term_weight.scorer(segment_reader, 1.0f32)?;
|
||||
let mut term_scorer = term_weight.scorer(segment_reader, 1.0)?;
|
||||
for i in 0u32..COMPRESSION_BLOCK_SIZE as u32 {
|
||||
assert_eq!(term_scorer.doc(), i);
|
||||
if i == COMPRESSION_BLOCK_SIZE as u32 - 1u32 {
|
||||
@@ -86,7 +86,7 @@ mod tests {
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
left_field => "left1 left2 left2 left2f2 left2f2 left3 abcde abcde abcde abcde abcde abcde abcde abcde abcde abcewde abcde abcde",
|
||||
right_field => "right1 right2",
|
||||
@@ -136,7 +136,7 @@ mod tests {
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 5_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
index_writer.add_document(doc!(text_field=>"a c"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "b"));
|
||||
@@ -153,7 +153,7 @@ mod tests {
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"a"));
|
||||
index_writer.add_document(doc!(text_field=>"a"));
|
||||
index_writer.commit()?;
|
||||
@@ -161,7 +161,7 @@ mod tests {
|
||||
let term_query = TermQuery::new(term_a, IndexRecordOption::Basic);
|
||||
let searcher = index.reader()?.searcher();
|
||||
let term_weight = term_query.weight(&searcher, false)?;
|
||||
let mut term_scorer = term_weight.scorer(searcher.segment_reader(0u32), 1.0f32)?;
|
||||
let mut term_scorer = term_weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert_eq!(term_scorer.doc(), 0u32);
|
||||
term_scorer.seek(1u32);
|
||||
assert_eq!(term_scorer.doc(), 1u32);
|
||||
|
||||
@@ -8,6 +8,7 @@ use crate::postings::SegmentPostings;
|
||||
use crate::postings::{FreqReadingOption, Postings};
|
||||
use crate::query::bm25::BM25Weight;
|
||||
|
||||
#[derive(Clone)]
|
||||
pub struct TermScorer {
|
||||
postings: SegmentPostings,
|
||||
fieldnorm_reader: FieldNormReader,
|
||||
@@ -28,34 +29,28 @@ impl TermScorer {
|
||||
}
|
||||
|
||||
pub(crate) fn shallow_seek(&mut self, target_doc: DocId) {
|
||||
self.postings.block_cursor.shallow_seek(target_doc)
|
||||
self.postings.block_cursor.shallow_seek(target_doc);
|
||||
}
|
||||
|
||||
|
||||
#[cfg(test)]
|
||||
pub fn create_for_test(
|
||||
doc_and_tfs: &[(DocId, u32)],
|
||||
fieldnorm_vals: &[u32],
|
||||
fieldnorms: &[u32],
|
||||
similarity_weight: BM25Weight,
|
||||
) -> crate::Result<TermScorer> {
|
||||
) -> TermScorer {
|
||||
assert!(!doc_and_tfs.is_empty());
|
||||
assert!(doc_and_tfs.len() <= fieldnorm_vals.len());
|
||||
|
||||
let doc_freq = doc_and_tfs.len();
|
||||
let max_doc = doc_and_tfs.last().unwrap().0 + 1;
|
||||
let mut fieldnorms: Vec<u32> = std::iter::repeat(1).take(max_doc as usize).collect();
|
||||
|
||||
for i in 0..doc_freq {
|
||||
let doc = doc_and_tfs[i].0;
|
||||
let fieldnorm = fieldnorm_vals[i];
|
||||
fieldnorms[doc as usize] = fieldnorm;
|
||||
}
|
||||
let fieldnorm_reader = FieldNormReader::from(&fieldnorms[..]);
|
||||
|
||||
assert!(
|
||||
doc_and_tfs
|
||||
.iter()
|
||||
.map(|(doc, _tf)| *doc)
|
||||
.max()
|
||||
.unwrap_or(0u32)
|
||||
< fieldnorms.len() as u32
|
||||
);
|
||||
let segment_postings =
|
||||
SegmentPostings::create_from_docs_and_tfs(doc_and_tfs, Some(fieldnorm_reader.clone()))?;
|
||||
|
||||
Ok(TermScorer::new(segment_postings, fieldnorm_reader, similarity_weight))
|
||||
SegmentPostings::create_from_docs_and_tfs(doc_and_tfs, Some(fieldnorms));
|
||||
let fieldnorm_reader = FieldNormReader::for_test(fieldnorms);
|
||||
TermScorer::new(segment_postings, fieldnorm_reader, similarity_weight)
|
||||
}
|
||||
|
||||
/// See `FreqReadingOption`.
|
||||
@@ -86,10 +81,6 @@ impl TermScorer {
|
||||
self.postings.term_freq()
|
||||
}
|
||||
|
||||
pub fn doc_freq(&self) -> usize {
|
||||
self.postings.doc_freq() as usize
|
||||
}
|
||||
|
||||
pub fn fieldnorm_id(&self) -> u8 {
|
||||
self.fieldnorm_reader.fieldnorm_id(self.doc())
|
||||
}
|
||||
@@ -100,7 +91,7 @@ impl TermScorer {
|
||||
self.similarity_weight.explain(fieldnorm_id, term_freq)
|
||||
}
|
||||
|
||||
pub fn max_score(&self) -> f32 {
|
||||
pub fn max_score(&self) -> Score {
|
||||
self.similarity_weight.max_score()
|
||||
}
|
||||
|
||||
@@ -137,48 +128,53 @@ impl Scorer for TermScorer {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate::assert_nearly_equals;
|
||||
use crate::merge_policy::NoMergePolicy;
|
||||
use crate::postings::compression::COMPRESSION_BLOCK_SIZE;
|
||||
use crate::query::term_query::TermScorer;
|
||||
use crate::query::{BM25Weight, Scorer};
|
||||
use crate::query::{BM25Weight, Scorer, TermQuery};
|
||||
use crate::schema::{IndexRecordOption, Schema, TEXT};
|
||||
use crate::Score;
|
||||
use crate::{assert_nearly_equals, Index, Searcher, SegmentId, Term};
|
||||
use crate::{DocId, DocSet, TERMINATED};
|
||||
use futures::executor::block_on;
|
||||
use proptest::prelude::*;
|
||||
|
||||
#[test]
|
||||
fn test_term_scorer_max_score() -> crate::Result<()> {
|
||||
let bm25_weight = BM25Weight::for_one_term(3, 6, 10f32);
|
||||
let mut term_scorer =
|
||||
TermScorer::create_for_test(&[(2, 3), (3, 12), (7, 8)], &[10, 12, 100], bm25_weight)?;
|
||||
let bm25_weight = BM25Weight::for_one_term(3, 6, 10.0);
|
||||
let mut term_scorer = TermScorer::create_for_test(
|
||||
&[(2, 3), (3, 12), (7, 8)],
|
||||
&[0, 0, 10, 12, 0, 0, 0, 100],
|
||||
bm25_weight,
|
||||
);
|
||||
let max_scorer = term_scorer.max_score();
|
||||
assert_eq!(max_scorer, 1.3990127f32);
|
||||
crate::assert_nearly_equals!(max_scorer, 1.3990127);
|
||||
assert_eq!(term_scorer.doc(), 2);
|
||||
assert_eq!(term_scorer.term_freq(), 3);
|
||||
assert_nearly_equals!(term_scorer.block_max_score(), 1.3676447f32);
|
||||
assert_nearly_equals!(term_scorer.score(), 1.0892314f32);
|
||||
assert_nearly_equals!(term_scorer.block_max_score(), 1.3676447);
|
||||
assert_nearly_equals!(term_scorer.score(), 1.0892314);
|
||||
assert_eq!(term_scorer.advance(), 3);
|
||||
assert_eq!(term_scorer.doc(), 3);
|
||||
assert_eq!(term_scorer.term_freq(), 12);
|
||||
assert_nearly_equals!(term_scorer.score(), 1.3676447f32);
|
||||
assert_nearly_equals!(term_scorer.score(), 1.3676447);
|
||||
assert_eq!(term_scorer.advance(), 7);
|
||||
assert_eq!(term_scorer.doc(), 7);
|
||||
assert_eq!(term_scorer.term_freq(), 8);
|
||||
assert_nearly_equals!(term_scorer.score(), 0.72015285f32);
|
||||
assert_nearly_equals!(term_scorer.score(), 0.72015285);
|
||||
assert_eq!(term_scorer.advance(), TERMINATED);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_term_scorer_shallow_advance() -> crate::Result<()> {
|
||||
let bm25_weight = BM25Weight::for_one_term(300, 1024, 10f32);
|
||||
let bm25_weight = BM25Weight::for_one_term(300, 1024, 10.0);
|
||||
let mut doc_and_tfs = vec![];
|
||||
for i in 0u32..300u32 {
|
||||
let doc = i * 10;
|
||||
doc_and_tfs.push((doc, 1u32 + doc % 3u32));
|
||||
}
|
||||
let fieldnorms: Vec<u32> = std::iter::repeat(10u32).take(1024).collect();
|
||||
let mut term_scorer =
|
||||
TermScorer::create_for_test(&doc_and_tfs, &fieldnorms, bm25_weight)?;
|
||||
let fieldnorms: Vec<u32> = std::iter::repeat(10u32).take(3_000).collect();
|
||||
let mut term_scorer = TermScorer::create_for_test(&doc_and_tfs, &fieldnorms, bm25_weight);
|
||||
assert_eq!(term_scorer.doc(), 0u32);
|
||||
term_scorer.shallow_seek(1289);
|
||||
assert_eq!(term_scorer.doc(), 0u32);
|
||||
@@ -205,7 +201,7 @@ mod tests {
|
||||
let average_fieldnorm = fieldnorms
|
||||
.iter()
|
||||
.cloned()
|
||||
.sum::<u32>() as f32 / term_doc_freq as f32;
|
||||
.sum::<u32>() as Score / term_doc_freq as Score;
|
||||
// Average fieldnorm is over the entire index,
|
||||
// not necessarily the docs that are in the posting list.
|
||||
// For this reason we multiply by 1.1 to make a realistic value.
|
||||
@@ -214,12 +210,12 @@ mod tests {
|
||||
average_fieldnorm);
|
||||
|
||||
let mut term_scorer =
|
||||
TermScorer::create_for_test(&doc_tfs[..], &fieldnorms[..], bm25_weight).unwrap();
|
||||
TermScorer::create_for_test(&doc_tfs[..], &fieldnorms[..], bm25_weight);
|
||||
|
||||
let docs: Vec<DocId> = (0..term_doc_freq).map(|doc| doc as DocId).collect();
|
||||
for block in docs.chunks(COMPRESSION_BLOCK_SIZE) {
|
||||
let block_max_score = term_scorer.block_max_score();
|
||||
let mut block_max_score_computed = 0.0f32;
|
||||
let block_max_score: Score = term_scorer.block_max_score();
|
||||
let mut block_max_score_computed: Score = 0.0;
|
||||
for &doc in block {
|
||||
assert_eq!(term_scorer.doc(), doc);
|
||||
block_max_score_computed = block_max_score_computed.max(term_scorer.score());
|
||||
@@ -229,4 +225,113 @@ mod tests {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_block_wand() {
|
||||
let mut doc_tfs: Vec<(u32, u32)> = vec![];
|
||||
for doc in 0u32..128u32 {
|
||||
doc_tfs.push((doc, 1u32));
|
||||
}
|
||||
for doc in 128u32..256u32 {
|
||||
doc_tfs.push((doc, if doc == 200 { 2u32 } else { 1u32 }));
|
||||
}
|
||||
doc_tfs.push((256, 1u32));
|
||||
doc_tfs.push((257, 3u32));
|
||||
doc_tfs.push((258, 1u32));
|
||||
|
||||
let fieldnorms: Vec<u32> = std::iter::repeat(20u32).take(300).collect();
|
||||
let bm25_weight = BM25Weight::for_one_term(10, 129, 20.0);
|
||||
let mut docs = TermScorer::create_for_test(&doc_tfs[..], &fieldnorms[..], bm25_weight);
|
||||
assert_nearly_equals!(docs.block_max_score(), 2.5161593);
|
||||
docs.shallow_seek(135);
|
||||
assert_nearly_equals!(docs.block_max_score(), 3.4597192);
|
||||
docs.shallow_seek(256);
|
||||
// the block is not loaded yet.
|
||||
assert_nearly_equals!(docs.block_max_score(), 5.2971773);
|
||||
assert_eq!(256, docs.seek(256));
|
||||
assert_nearly_equals!(docs.block_max_score(), 3.9539647);
|
||||
}
|
||||
|
||||
fn test_block_wand_aux(term_query: &TermQuery, searcher: &Searcher) -> crate::Result<()> {
|
||||
let term_weight = term_query.specialized_weight(&searcher, true);
|
||||
for reader in searcher.segment_readers() {
|
||||
let mut block_max_scores = vec![];
|
||||
let mut block_max_scores_b = vec![];
|
||||
let mut docs = vec![];
|
||||
{
|
||||
let mut term_scorer = term_weight.specialized_scorer(reader, 1.0)?;
|
||||
while term_scorer.doc() != TERMINATED {
|
||||
let mut score = term_scorer.score();
|
||||
docs.push(term_scorer.doc());
|
||||
for _ in 0..128 {
|
||||
score = score.max(term_scorer.score());
|
||||
if term_scorer.advance() == TERMINATED {
|
||||
break;
|
||||
}
|
||||
}
|
||||
block_max_scores.push(score);
|
||||
}
|
||||
}
|
||||
{
|
||||
let mut term_scorer = term_weight.specialized_scorer(reader, 1.0)?;
|
||||
for d in docs {
|
||||
term_scorer.shallow_seek(d);
|
||||
block_max_scores_b.push(term_scorer.block_max_score());
|
||||
}
|
||||
}
|
||||
for (l, r) in block_max_scores
|
||||
.iter()
|
||||
.cloned()
|
||||
.zip(block_max_scores_b.iter().cloned())
|
||||
{
|
||||
assert_nearly_equals!(l, r);
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[ignore]
|
||||
#[test]
|
||||
fn test_block_wand_long_test() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut writer = index.writer_with_num_threads(3, 30_000_000)?;
|
||||
use rand::Rng;
|
||||
let mut rng = rand::thread_rng();
|
||||
writer.set_merge_policy(Box::new(NoMergePolicy));
|
||||
for _ in 0..3_000 {
|
||||
let term_freq = rng.gen_range(1, 10000);
|
||||
let words: Vec<&str> = std::iter::repeat("bbbb").take(term_freq).collect();
|
||||
let text = words.join(" ");
|
||||
writer.add_document(doc!(text_field=>text));
|
||||
}
|
||||
writer.commit()?;
|
||||
let term_query = TermQuery::new(
|
||||
Term::from_field_text(text_field, &"bbbb"),
|
||||
IndexRecordOption::WithFreqs,
|
||||
);
|
||||
let segment_ids: Vec<SegmentId>;
|
||||
let reader = index.reader()?;
|
||||
{
|
||||
let searcher = reader.searcher();
|
||||
segment_ids = searcher
|
||||
.segment_readers()
|
||||
.iter()
|
||||
.map(|segment| segment.segment_id())
|
||||
.collect();
|
||||
test_block_wand_aux(&term_query, &searcher)?;
|
||||
}
|
||||
{
|
||||
let _ = block_on(writer.merge(&segment_ids[..]));
|
||||
}
|
||||
{
|
||||
reader.reload()?;
|
||||
let searcher = reader.searcher();
|
||||
assert_eq!(searcher.segment_readers().len(), 1);
|
||||
test_block_wand_aux(&term_query, &searcher)?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -4,11 +4,10 @@ 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_pruning_scorer, for_each_scorer};
|
||||
use crate::query::weight::for_each_scorer;
|
||||
use crate::query::Weight;
|
||||
use crate::query::{Explanation, Scorer};
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::Result;
|
||||
use crate::Term;
|
||||
use crate::{DocId, Score};
|
||||
|
||||
@@ -19,22 +18,22 @@ pub struct TermWeight {
|
||||
}
|
||||
|
||||
impl Weight for TermWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> Result<Box<dyn Scorer>> {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
let term_scorer = self.specialized_scorer(reader, boost)?;
|
||||
Ok(Box::new(term_scorer))
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> Result<Explanation> {
|
||||
let mut scorer = self.specialized_scorer(reader, 1.0f32)?;
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
|
||||
let mut scorer = self.specialized_scorer(reader, 1.0)?;
|
||||
if scorer.seek(doc) != doc {
|
||||
return Err(does_not_match(doc));
|
||||
}
|
||||
Ok(scorer.explain())
|
||||
}
|
||||
|
||||
fn count(&self, reader: &SegmentReader) -> Result<u32> {
|
||||
fn count(&self, reader: &SegmentReader) -> crate::Result<u32> {
|
||||
if let Some(delete_bitset) = reader.delete_bitset() {
|
||||
Ok(self.scorer(reader, 1.0f32)?.count(delete_bitset))
|
||||
Ok(self.scorer(reader, 1.0)?.count(delete_bitset))
|
||||
} else {
|
||||
let field = self.term.field();
|
||||
Ok(reader
|
||||
@@ -52,7 +51,7 @@ impl Weight for TermWeight {
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score),
|
||||
) -> crate::Result<()> {
|
||||
let mut scorer = self.specialized_scorer(reader, 1.0f32)?;
|
||||
let mut scorer = self.specialized_scorer(reader, 1.0)?;
|
||||
for_each_scorer(&mut scorer, callback);
|
||||
Ok(())
|
||||
}
|
||||
@@ -69,12 +68,12 @@ impl Weight for TermWeight {
|
||||
/// important optimization (e.g. BlockWAND for union).
|
||||
fn for_each_pruning(
|
||||
&self,
|
||||
threshold: f32,
|
||||
threshold: Score,
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score) -> Score,
|
||||
) -> crate::Result<()> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
for_each_pruning_scorer(&mut scorer, threshold, callback);
|
||||
let scorer = self.specialized_scorer(reader, 1.0)?;
|
||||
crate::query::boolean_query::block_wand(vec![scorer], threshold, callback);
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
@@ -92,10 +91,14 @@ impl TermWeight {
|
||||
}
|
||||
}
|
||||
|
||||
pub fn specialized_scorer(&self, reader: &SegmentReader, boost: f32) -> Result<TermScorer> {
|
||||
pub(crate) fn specialized_scorer(
|
||||
&self,
|
||||
reader: &SegmentReader,
|
||||
boost: Score,
|
||||
) -> crate::Result<TermScorer> {
|
||||
let field = self.term.field();
|
||||
let inverted_index = reader.inverted_index(field);
|
||||
let fieldnorm_reader = reader.get_fieldnorms_reader(field);
|
||||
let fieldnorm_reader = reader.get_fieldnorms_reader(field)?;
|
||||
let similarity_weight = self.similarity_weight.boost_by(boost);
|
||||
let postings_opt: Option<SegmentPostings> =
|
||||
inverted_index.read_postings(&self.term, self.index_record_option);
|
||||
|
||||
@@ -55,7 +55,7 @@ where
|
||||
cursor: HORIZON_NUM_TINYBITSETS,
|
||||
offset: 0,
|
||||
doc: 0,
|
||||
score: 0f32,
|
||||
score: 0.0,
|
||||
};
|
||||
if union.refill() {
|
||||
union.advance();
|
||||
@@ -274,7 +274,7 @@ mod tests {
|
||||
vals.iter()
|
||||
.cloned()
|
||||
.map(VecDocSet::from)
|
||||
.map(|docset| ConstScorer::new(docset, 1.0f32))
|
||||
.map(|docset| ConstScorer::new(docset, 1.0))
|
||||
.collect::<Vec<ConstScorer<VecDocSet>>>(),
|
||||
)
|
||||
};
|
||||
@@ -321,7 +321,7 @@ mod tests {
|
||||
.iter()
|
||||
.map(|docs| docs.clone())
|
||||
.map(VecDocSet::from)
|
||||
.map(|docset| ConstScorer::new(docset, 1.0f32))
|
||||
.map(|docset| ConstScorer::new(docset, 1.0))
|
||||
.collect::<Vec<_>>(),
|
||||
));
|
||||
res
|
||||
@@ -398,9 +398,9 @@ mod bench {
|
||||
|
||||
use crate::query::score_combiner::DoNothingCombiner;
|
||||
use crate::query::{ConstScorer, Union, VecDocSet};
|
||||
use crate::tests;
|
||||
use crate::DocId;
|
||||
use crate::DocSet;
|
||||
use crate::{tests, TERMINATED};
|
||||
use test::Bencher;
|
||||
|
||||
#[bench]
|
||||
@@ -414,10 +414,12 @@ mod bench {
|
||||
union_docset
|
||||
.iter()
|
||||
.map(|doc_ids| VecDocSet::from(doc_ids.clone()))
|
||||
.map(ConstScorer::new)
|
||||
.map(|docset| ConstScorer::new(docset, 1.0))
|
||||
.collect::<Vec<_>>(),
|
||||
);
|
||||
while v.advance() {}
|
||||
while v.doc() != TERMINATED {
|
||||
v.advance();
|
||||
}
|
||||
});
|
||||
}
|
||||
#[bench]
|
||||
@@ -432,10 +434,12 @@ mod bench {
|
||||
union_docset
|
||||
.iter()
|
||||
.map(|doc_ids| VecDocSet::from(doc_ids.clone()))
|
||||
.map(ConstScorer::new)
|
||||
.map(|docset| ConstScorer::new(docset, 1.0))
|
||||
.collect::<Vec<_>>(),
|
||||
);
|
||||
while v.advance() {}
|
||||
while v.doc() != TERMINATED {
|
||||
v.advance();
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -28,7 +28,7 @@ pub(crate) fn for_each_scorer<TScorer: Scorer + ?Sized>(
|
||||
/// important optimization (e.g. BlockWAND for union).
|
||||
pub(crate) fn for_each_pruning_scorer<TScorer: Scorer + ?Sized>(
|
||||
scorer: &mut TScorer,
|
||||
mut threshold: f32,
|
||||
mut threshold: Score,
|
||||
callback: &mut dyn FnMut(DocId, Score) -> Score,
|
||||
) {
|
||||
let mut doc = scorer.doc();
|
||||
@@ -51,14 +51,14 @@ pub trait Weight: Send + Sync + 'static {
|
||||
/// `boost` is a multiplier to apply to the score.
|
||||
///
|
||||
/// See [`Query`](./trait.Query.html).
|
||||
fn scorer(&self, reader: &SegmentReader, boost: f32) -> crate::Result<Box<dyn Scorer>>;
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>>;
|
||||
|
||||
/// Returns an `Explanation` for the given document.
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation>;
|
||||
|
||||
/// Returns the number documents within the given `SegmentReader`.
|
||||
fn count(&self, reader: &SegmentReader) -> crate::Result<u32> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
if let Some(delete_bitset) = reader.delete_bitset() {
|
||||
Ok(scorer.count(delete_bitset))
|
||||
} else {
|
||||
@@ -73,7 +73,7 @@ pub trait Weight: Send + Sync + 'static {
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score),
|
||||
) -> crate::Result<()> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
for_each_scorer(scorer.as_mut(), callback);
|
||||
Ok(())
|
||||
}
|
||||
@@ -90,11 +90,11 @@ pub trait Weight: Send + Sync + 'static {
|
||||
/// important optimization (e.g. BlockWAND for union).
|
||||
fn for_each_pruning(
|
||||
&self,
|
||||
threshold: f32,
|
||||
threshold: Score,
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId, Score) -> Score,
|
||||
) -> crate::Result<()> {
|
||||
let mut scorer = self.scorer(reader, 1.0f32)?;
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
for_each_pruning_scorer(scorer.as_mut(), threshold, callback);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -138,9 +138,11 @@ impl InnerIndexReader {
|
||||
.collect::<crate::Result<_>>()?
|
||||
};
|
||||
let schema = self.index.schema();
|
||||
let searchers = (0..self.num_searchers)
|
||||
.map(|_| Searcher::new(schema.clone(), self.index.clone(), segment_readers.clone()))
|
||||
.collect();
|
||||
let searchers = std::iter::repeat_with(|| {
|
||||
Searcher::new(schema.clone(), self.index.clone(), segment_readers.clone())
|
||||
})
|
||||
.take(self.num_searchers)
|
||||
.collect();
|
||||
self.searcher_pool.publish_new_generation(searchers);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -74,9 +74,8 @@ impl Document {
|
||||
}
|
||||
|
||||
/// Add a text field.
|
||||
pub fn add_text(&mut self, field: Field, text: &str) {
|
||||
let value = Value::Str(String::from(text));
|
||||
self.add(FieldValue::new(field, value));
|
||||
pub fn add_text<S: ToString>(&mut self, field: Field, text: S) {
|
||||
self.add(FieldValue::new(field, Value::Str(text.to_string())));
|
||||
}
|
||||
|
||||
/// Add a pre-tokenized text field.
|
||||
@@ -110,8 +109,8 @@ impl Document {
|
||||
}
|
||||
|
||||
/// Add a bytes field
|
||||
pub fn add_bytes(&mut self, field: Field, value: Vec<u8>) {
|
||||
self.add(FieldValue::new(field, Value::Bytes(value)))
|
||||
pub fn add_bytes<T: Into<Vec<u8>>>(&mut self, field: Field, value: T) {
|
||||
self.add(FieldValue::new(field, Value::Bytes(value.into())))
|
||||
}
|
||||
|
||||
/// Add a field value
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
use crate::schema::IntOptions;
|
||||
use crate::schema::TextOptions;
|
||||
use crate::schema::{is_valid_field_name, IntOptions};
|
||||
|
||||
use crate::schema::FieldType;
|
||||
use serde::de::{self, MapAccess, Visitor};
|
||||
@@ -24,6 +24,7 @@ impl FieldEntry {
|
||||
/// Creates a new u64 field entry in the schema, given
|
||||
/// a name, and some options.
|
||||
pub fn new_text(field_name: String, text_options: TextOptions) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::Str(text_options),
|
||||
@@ -33,6 +34,7 @@ impl FieldEntry {
|
||||
/// Creates a new u64 field entry in the schema, given
|
||||
/// a name, and some options.
|
||||
pub fn new_u64(field_name: String, field_type: IntOptions) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::U64(field_type),
|
||||
@@ -42,6 +44,7 @@ impl FieldEntry {
|
||||
/// Creates a new i64 field entry in the schema, given
|
||||
/// a name, and some options.
|
||||
pub fn new_i64(field_name: String, field_type: IntOptions) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::I64(field_type),
|
||||
@@ -51,6 +54,7 @@ impl FieldEntry {
|
||||
/// Creates a new f64 field entry in the schema, given
|
||||
/// a name, and some options.
|
||||
pub fn new_f64(field_name: String, field_type: IntOptions) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::F64(field_type),
|
||||
@@ -60,6 +64,7 @@ impl FieldEntry {
|
||||
/// Creates a new date field entry in the schema, given
|
||||
/// a name, and some options.
|
||||
pub fn new_date(field_name: String, field_type: IntOptions) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::Date(field_type),
|
||||
@@ -68,6 +73,7 @@ impl FieldEntry {
|
||||
|
||||
/// Creates a field entry for a facet.
|
||||
pub fn new_facet(field_name: String) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::HierarchicalFacet,
|
||||
@@ -76,6 +82,7 @@ impl FieldEntry {
|
||||
|
||||
/// Creates a field entry for a bytes field
|
||||
pub fn new_bytes(field_name: String) -> FieldEntry {
|
||||
assert!(is_valid_field_name(&field_name));
|
||||
FieldEntry {
|
||||
name: field_name,
|
||||
field_type: FieldType::Bytes,
|
||||
@@ -268,6 +275,12 @@ mod tests {
|
||||
use crate::schema::TEXT;
|
||||
use serde_json;
|
||||
|
||||
#[test]
|
||||
#[should_panic]
|
||||
fn test_invalid_field_name_should_panic() {
|
||||
FieldEntry::new_text("-hello".to_string(), TEXT);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_serialization() {
|
||||
let field_value = FieldEntry::new_text(String::from("title"), TEXT);
|
||||
|
||||
@@ -149,14 +149,16 @@ pub use self::int_options::IntOptions;
|
||||
use once_cell::sync::Lazy;
|
||||
use regex::Regex;
|
||||
|
||||
/// Regular expression representing the restriction on a valid field names.
|
||||
pub const FIELD_NAME_PATTERN: &str = r#"^[_a-zA-Z][_\-a-zA-Z0-9]*$"#;
|
||||
|
||||
/// Validator for a potential `field_name`.
|
||||
/// Returns true iff the name can be use for a field name.
|
||||
///
|
||||
/// A field name must start by a letter `[a-zA-Z]`.
|
||||
/// The other characters can be any alphanumic character `[a-ZA-Z0-9]` or `_`.
|
||||
pub fn is_valid_field_name(field_name: &str) -> bool {
|
||||
static FIELD_NAME_PTN: Lazy<Regex> =
|
||||
Lazy::new(|| Regex::new("^[a-zA-Z][_a-zA-Z0-9]*$").unwrap());
|
||||
static FIELD_NAME_PTN: Lazy<Regex> = Lazy::new(|| Regex::new(FIELD_NAME_PATTERN).unwrap());
|
||||
FIELD_NAME_PTN.is_match(field_name)
|
||||
}
|
||||
|
||||
@@ -170,6 +172,11 @@ mod tests {
|
||||
assert!(is_valid_field_name("text"));
|
||||
assert!(is_valid_field_name("text0"));
|
||||
assert!(!is_valid_field_name("0text"));
|
||||
assert!(is_valid_field_name("field-name"));
|
||||
assert!(is_valid_field_name("field_name"));
|
||||
assert!(!is_valid_field_name("field!name"));
|
||||
assert!(!is_valid_field_name("-fieldname"));
|
||||
assert!(is_valid_field_name("_fieldname"));
|
||||
assert!(!is_valid_field_name(""));
|
||||
assert!(!is_valid_field_name("シャボン玉"));
|
||||
assert!(is_valid_field_name("my_text_field"));
|
||||
|
||||
@@ -4,7 +4,6 @@ use super::Field;
|
||||
use crate::common;
|
||||
use crate::schema::Facet;
|
||||
use crate::DateTime;
|
||||
use byteorder::{BigEndian, ByteOrder};
|
||||
use std::str;
|
||||
|
||||
/// Size (in bytes) of the buffer of a int field.
|
||||
@@ -19,6 +18,10 @@ where
|
||||
B: AsRef<[u8]>;
|
||||
|
||||
impl Term {
|
||||
pub(crate) fn new() -> Term {
|
||||
Term(Vec::with_capacity(100))
|
||||
}
|
||||
|
||||
/// Builds a term given a field, and a i64-value
|
||||
///
|
||||
/// Assuming the term has a field id of 1, and a i64 value of 3234,
|
||||
@@ -93,6 +96,12 @@ impl Term {
|
||||
term
|
||||
}
|
||||
|
||||
pub(crate) fn from_field_bytes(field: Field, bytes: &[u8]) -> Term {
|
||||
let mut term = Term::for_field(field);
|
||||
term.set_bytes(bytes);
|
||||
term
|
||||
}
|
||||
|
||||
/// Creates a new Term for a given field.
|
||||
pub(crate) fn for_field(field: Field) -> Term {
|
||||
let mut term = Term(Vec::with_capacity(100));
|
||||
@@ -100,12 +109,10 @@ impl Term {
|
||||
term
|
||||
}
|
||||
|
||||
/// Returns the field.
|
||||
pub fn set_field(&mut self, field: Field) {
|
||||
if self.0.len() < 4 {
|
||||
self.0.resize(4, 0u8);
|
||||
}
|
||||
BigEndian::write_u32(&mut self.0[0..4], field.field_id());
|
||||
pub(crate) fn set_field(&mut self, field: Field) {
|
||||
self.0.clear();
|
||||
self.0
|
||||
.extend_from_slice(&field.field_id().to_be_bytes()[..]);
|
||||
}
|
||||
|
||||
/// Sets a u64 value in the term.
|
||||
@@ -116,7 +123,7 @@ impl Term {
|
||||
/// the natural order of the values.
|
||||
pub fn set_u64(&mut self, val: u64) {
|
||||
self.0.resize(INT_TERM_LEN, 0u8);
|
||||
BigEndian::write_u64(&mut self.0[4..], val);
|
||||
self.0[4..12].copy_from_slice(val.to_be_bytes().as_ref());
|
||||
}
|
||||
|
||||
/// Sets a `i64` value in the term.
|
||||
@@ -134,12 +141,6 @@ impl Term {
|
||||
self.0.extend(bytes);
|
||||
}
|
||||
|
||||
pub(crate) fn from_field_bytes(field: Field, bytes: &[u8]) -> Term {
|
||||
let mut term = Term::for_field(field);
|
||||
term.set_bytes(bytes);
|
||||
term
|
||||
}
|
||||
|
||||
/// Set the texts only, keeping the field untouched.
|
||||
pub fn set_text(&mut self, text: &str) {
|
||||
self.set_bytes(text.as_bytes());
|
||||
@@ -157,7 +158,9 @@ where
|
||||
|
||||
/// Returns the field.
|
||||
pub fn field(&self) -> Field {
|
||||
Field::from_field_id(BigEndian::read_u32(&self.0.as_ref()[..4]))
|
||||
let mut field_id_bytes = [0u8; 4];
|
||||
field_id_bytes.copy_from_slice(&self.0.as_ref()[..4]);
|
||||
Field::from_field_id(u32::from_be_bytes(field_id_bytes))
|
||||
}
|
||||
|
||||
/// Returns the `u64` value stored in a term.
|
||||
@@ -166,7 +169,9 @@ where
|
||||
/// ... or returns an invalid value
|
||||
/// if the term is not a `u64` field.
|
||||
pub fn get_u64(&self) -> u64 {
|
||||
BigEndian::read_u64(&self.0.as_ref()[4..])
|
||||
let mut field_id_bytes = [0u8; 8];
|
||||
field_id_bytes.copy_from_slice(self.value_bytes());
|
||||
u64::from_be_bytes(field_id_bytes)
|
||||
}
|
||||
|
||||
/// Returns the `i64` value stored in a term.
|
||||
@@ -175,7 +180,7 @@ where
|
||||
/// ... or returns an invalid value
|
||||
/// if the term is not a `i64` field.
|
||||
pub fn get_i64(&self) -> i64 {
|
||||
common::u64_to_i64(BigEndian::read_u64(&self.0.as_ref()[4..]))
|
||||
common::u64_to_i64(self.get_u64())
|
||||
}
|
||||
|
||||
/// Returns the `f64` value stored in a term.
|
||||
@@ -184,7 +189,7 @@ where
|
||||
/// ... or returns an invalid value
|
||||
/// if the term is not a `f64` field.
|
||||
pub fn get_f64(&self) -> f64 {
|
||||
common::u64_to_f64(BigEndian::read_u64(&self.0.as_ref()[4..]))
|
||||
common::u64_to_f64(self.get_u64())
|
||||
}
|
||||
|
||||
/// Returns the text associated with the term.
|
||||
|
||||
@@ -221,6 +221,12 @@ impl<'a> From<&'a str> for Value {
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> From<&'a [u8]> for Value {
|
||||
fn from(bytes: &'a [u8]) -> Value {
|
||||
Value::Bytes(bytes.to_vec())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> From<Facet> for Value {
|
||||
fn from(facet: Facet) -> Value {
|
||||
Value::Facet(facet)
|
||||
|
||||
@@ -2,8 +2,8 @@ use crate::query::Query;
|
||||
use crate::schema::Field;
|
||||
use crate::schema::Value;
|
||||
use crate::tokenizer::{TextAnalyzer, Token};
|
||||
use crate::Document;
|
||||
use crate::Searcher;
|
||||
use crate::{Document, Score};
|
||||
use htmlescape::encode_minimal;
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::BTreeMap;
|
||||
@@ -30,7 +30,7 @@ impl HighlightSection {
|
||||
|
||||
#[derive(Debug)]
|
||||
pub struct FragmentCandidate {
|
||||
score: f32,
|
||||
score: Score,
|
||||
start_offset: usize,
|
||||
stop_offset: usize,
|
||||
num_chars: usize,
|
||||
@@ -58,7 +58,7 @@ impl FragmentCandidate {
|
||||
/// taking the token and terms, the token is added to the fragment.
|
||||
/// if the token is one of the terms, the score
|
||||
/// and highlighted fields are updated in the fragment.
|
||||
fn try_add_token(&mut self, token: &Token, terms: &BTreeMap<String, f32>) {
|
||||
fn try_add_token(&mut self, token: &Token, terms: &BTreeMap<String, Score>) {
|
||||
self.stop_offset = token.offset_to;
|
||||
|
||||
if let Some(&score) = terms.get(&token.text.to_lowercase()) {
|
||||
@@ -142,7 +142,7 @@ impl Snippet {
|
||||
fn search_fragments<'a>(
|
||||
tokenizer: &TextAnalyzer,
|
||||
text: &'a str,
|
||||
terms: &BTreeMap<String, f32>,
|
||||
terms: &BTreeMap<String, Score>,
|
||||
max_num_chars: usize,
|
||||
) -> Vec<FragmentCandidate> {
|
||||
let mut token_stream = tokenizer.token_stream(text);
|
||||
@@ -221,7 +221,7 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
|
||||
/// # let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
/// # let schema = schema_builder.build();
|
||||
/// # let index = Index::create_in_ram(schema);
|
||||
/// # let mut index_writer = index.writer_with_num_threads(1, 30_000_000)?;
|
||||
/// # let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
|
||||
/// # let doc = doc!(text_field => r#"Comme je descendais des Fleuves impassibles,
|
||||
/// # Je ne me sentis plus guidé par les haleurs :
|
||||
/// # Des Peaux-Rouges criards les avaient pris pour cibles,
|
||||
@@ -248,7 +248,7 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
|
||||
/// # }
|
||||
/// ```
|
||||
pub struct SnippetGenerator {
|
||||
terms_text: BTreeMap<String, f32>,
|
||||
terms_text: BTreeMap<String, Score>,
|
||||
tokenizer: TextAnalyzer,
|
||||
field: Field,
|
||||
max_num_chars: usize,
|
||||
@@ -263,12 +263,12 @@ impl SnippetGenerator {
|
||||
) -> crate::Result<SnippetGenerator> {
|
||||
let mut terms = BTreeSet::new();
|
||||
query.query_terms(&mut terms);
|
||||
let terms_text: BTreeMap<String, f32> = terms
|
||||
let terms_text: BTreeMap<String, Score> = terms
|
||||
.into_iter()
|
||||
.filter(|term| term.field() == field)
|
||||
.flat_map(|term| {
|
||||
let doc_freq = searcher.doc_freq(&term);
|
||||
let score = 1f32 / (1f32 + doc_freq as f32);
|
||||
let score = 1.0 / (1.0 + doc_freq as Score);
|
||||
if doc_freq > 0 {
|
||||
Some((term.text().to_string(), score))
|
||||
} else {
|
||||
@@ -291,7 +291,7 @@ impl SnippetGenerator {
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
pub fn terms_text(&self) -> &BTreeMap<String, f32> {
|
||||
pub fn terms_text(&self) -> &BTreeMap<String, Score> {
|
||||
&self.terms_text
|
||||
}
|
||||
|
||||
@@ -373,8 +373,8 @@ Survey in 2016, 2017, and 2018."#;
|
||||
fn test_snippet_scored_fragment() {
|
||||
{
|
||||
let terms = btreemap! {
|
||||
String::from("rust") =>1.0f32,
|
||||
String::from("language") => 0.9f32
|
||||
String::from("rust") =>1.0,
|
||||
String::from("language") => 0.9
|
||||
};
|
||||
let fragments = search_fragments(&From::from(SimpleTokenizer), TEST_TEXT, &terms, 20);
|
||||
{
|
||||
@@ -387,8 +387,8 @@ Survey in 2016, 2017, and 2018."#;
|
||||
}
|
||||
{
|
||||
let terms = btreemap! {
|
||||
String::from("rust") =>0.9f32,
|
||||
String::from("language") => 1.0f32
|
||||
String::from("rust") =>0.9,
|
||||
String::from("language") => 1.0
|
||||
};
|
||||
let fragments = search_fragments(&From::from(SimpleTokenizer), TEST_TEXT, &terms, 20);
|
||||
//assert_eq!(fragments.len(), 7);
|
||||
@@ -506,7 +506,7 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(text_field => "a"));
|
||||
index_writer.add_document(doc!(text_field => "a"));
|
||||
index_writer.add_document(doc!(text_field => "a b"));
|
||||
@@ -525,7 +525,7 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(
|
||||
&btreemap!("a".to_string() => 0.25f32),
|
||||
&btreemap!("a".to_string() => 0.25),
|
||||
snippet_generator.terms_text()
|
||||
);
|
||||
}
|
||||
@@ -534,7 +534,7 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(
|
||||
&btreemap!("a".to_string() => 0.25f32, "b".to_string() => 0.5),
|
||||
&btreemap!("a".to_string() => 0.25, "b".to_string() => 0.5),
|
||||
snippet_generator.terms_text()
|
||||
);
|
||||
}
|
||||
@@ -543,7 +543,7 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(
|
||||
&btreemap!("a".to_string() => 0.25f32, "b".to_string() => 0.5),
|
||||
&btreemap!("a".to_string() => 0.25, "b".to_string() => 0.5),
|
||||
snippet_generator.terms_text()
|
||||
);
|
||||
}
|
||||
@@ -562,7 +562,7 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
{
|
||||
let doc = doc ! (text_field => TEST_TEXT);
|
||||
index_writer.add_document(doc);
|
||||
|
||||
@@ -25,6 +25,8 @@ pub enum ComponentSpaceUsage {
|
||||
Store(StoreSpaceUsage),
|
||||
/// Some sort of raw byte count
|
||||
Basic(ByteCount),
|
||||
///
|
||||
Unimplemented,
|
||||
}
|
||||
|
||||
/// Represents combined space usage of an entire searcher and its component segments.
|
||||
@@ -119,7 +121,7 @@ impl SegmentSpaceUsage {
|
||||
/// Clones the underlying data.
|
||||
/// Use the components directly if this is somehow in performance critical code.
|
||||
pub fn component(&self, component: SegmentComponent) -> ComponentSpaceUsage {
|
||||
use self::ComponentSpaceUsage::*;
|
||||
use self::ComponentSpaceUsage::{Basic, PerField, Store, Unimplemented};
|
||||
use crate::SegmentComponent::*;
|
||||
match component {
|
||||
POSTINGS => PerField(self.postings().clone()),
|
||||
@@ -130,6 +132,7 @@ impl SegmentSpaceUsage {
|
||||
TERMS => PerField(self.termdict().clone()),
|
||||
STORE => Store(self.store().clone()),
|
||||
DELETE => Basic(self.deletes()),
|
||||
FIELDSTATS => Unimplemented,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -336,7 +339,7 @@ mod test {
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(name => 1u64));
|
||||
index_writer.add_document(doc!(name => 2u64));
|
||||
index_writer.add_document(doc!(name => 10u64));
|
||||
@@ -374,7 +377,7 @@ mod test {
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(name => "hi"));
|
||||
index_writer.add_document(doc!(name => "this is a test"));
|
||||
index_writer.add_document(
|
||||
@@ -414,7 +417,7 @@ mod test {
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(name => "hi"));
|
||||
index_writer.add_document(doc!(name => "this is a test"));
|
||||
index_writer.add_document(
|
||||
@@ -453,7 +456,7 @@ mod test {
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc!(name => 1u64));
|
||||
index_writer.add_document(doc!(name => 2u64));
|
||||
index_writer.add_document(doc!(name => 3u64));
|
||||
|
||||
@@ -44,11 +44,13 @@ mod tests {
|
||||
|
||||
const BLOCK_SIZE: usize = 1_500;
|
||||
|
||||
fn make_term_info(val: u64) -> TermInfo {
|
||||
fn make_term_info(term_ord: u64) -> TermInfo {
|
||||
let offset = |term_ord: u64| term_ord * 100 + term_ord * term_ord;
|
||||
TermInfo {
|
||||
doc_freq: val as u32,
|
||||
positions_idx: val * 2u64,
|
||||
postings_offset: val * 3u64,
|
||||
doc_freq: term_ord as u32,
|
||||
postings_start_offset: offset(term_ord),
|
||||
postings_end_offset: offset(term_ord + 1),
|
||||
positions_idx: offset(term_ord) * 2u64,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -138,7 +140,7 @@ mod tests {
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
{
|
||||
{
|
||||
let mut doc = Document::default();
|
||||
@@ -208,20 +210,14 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_stream_high_range_prefix_suffix() {
|
||||
fn test_stream_high_range_prefix_suffix() -> std::io::Result<()> {
|
||||
let buffer: Vec<u8> = {
|
||||
let mut term_dictionary_builder = TermDictionaryBuilder::create(vec![]).unwrap();
|
||||
// term requires more than 16bits
|
||||
term_dictionary_builder
|
||||
.insert("abcdefghijklmnopqrstuvwxy", &make_term_info(1))
|
||||
.unwrap();
|
||||
term_dictionary_builder
|
||||
.insert("abcdefghijklmnopqrstuvwxyz", &make_term_info(2))
|
||||
.unwrap();
|
||||
term_dictionary_builder
|
||||
.insert("abr", &make_term_info(2))
|
||||
.unwrap();
|
||||
term_dictionary_builder.finish().unwrap()
|
||||
term_dictionary_builder.insert("abcdefghijklmnopqrstuvwxy", &make_term_info(1))?;
|
||||
term_dictionary_builder.insert("abcdefghijklmnopqrstuvwxyz", &make_term_info(2))?;
|
||||
term_dictionary_builder.insert("abr", &make_term_info(3))?;
|
||||
term_dictionary_builder.finish()?
|
||||
};
|
||||
let source = ReadOnlySource::from(buffer);
|
||||
let term_dictionary: TermDictionary = TermDictionary::from_source(&source);
|
||||
@@ -229,12 +225,15 @@ mod tests {
|
||||
assert!(kv_stream.advance());
|
||||
assert_eq!(kv_stream.key(), "abcdefghijklmnopqrstuvwxy".as_bytes());
|
||||
assert_eq!(kv_stream.value(), &make_term_info(1));
|
||||
dbg!(make_term_info(1));
|
||||
assert!(kv_stream.advance());
|
||||
assert_eq!(kv_stream.key(), "abcdefghijklmnopqrstuvwxyz".as_bytes());
|
||||
assert_eq!(kv_stream.value(), &make_term_info(2));
|
||||
assert!(kv_stream.advance());
|
||||
assert_eq!(kv_stream.key(), "abr".as_bytes());
|
||||
assert_eq!(kv_stream.value(), &make_term_info(3));
|
||||
assert!(!kv_stream.advance());
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -57,21 +57,28 @@ impl TermInfoBlockMeta {
|
||||
self.doc_freq_nbits + self.postings_offset_nbits + self.positions_idx_nbits
|
||||
}
|
||||
|
||||
// Here inner_offset is the offset within the block, WITHOUT the first term_info.
|
||||
// In other word, term_info #1,#2,#3 gets inner_offset 0,1,2... While term_info #0
|
||||
// is encoded without bitpacking.
|
||||
fn deserialize_term_info(&self, data: &[u8], inner_offset: usize) -> TermInfo {
|
||||
assert!(inner_offset < BLOCK_LEN - 1);
|
||||
let num_bits = self.num_bits() as usize;
|
||||
let mut cursor = num_bits * inner_offset;
|
||||
|
||||
let postings_start_offset = extract_bits(data, cursor, self.postings_offset_nbits);
|
||||
let postings_end_offset = self.ref_term_info.postings_start_offset
|
||||
+ extract_bits(data, cursor + num_bits, self.postings_offset_nbits);
|
||||
cursor += self.postings_offset_nbits as usize;
|
||||
|
||||
let doc_freq = extract_bits(data, cursor, self.doc_freq_nbits) as u32;
|
||||
cursor += self.doc_freq_nbits as usize;
|
||||
|
||||
let postings_offset = extract_bits(data, cursor, self.postings_offset_nbits);
|
||||
cursor += self.postings_offset_nbits as usize;
|
||||
|
||||
let positions_idx = extract_bits(data, cursor, self.positions_idx_nbits);
|
||||
|
||||
TermInfo {
|
||||
doc_freq,
|
||||
postings_offset: postings_offset + self.ref_term_info.postings_offset,
|
||||
postings_start_offset: postings_start_offset + self.ref_term_info.postings_start_offset,
|
||||
postings_end_offset,
|
||||
positions_idx: positions_idx + self.ref_term_info.positions_idx,
|
||||
}
|
||||
}
|
||||
@@ -126,14 +133,13 @@ impl TermInfoStore {
|
||||
.expect("Failed to deserialize terminfoblockmeta");
|
||||
let inner_offset = (term_ord as usize) % BLOCK_LEN;
|
||||
if inner_offset == 0 {
|
||||
term_info_block_data.ref_term_info
|
||||
} else {
|
||||
let term_info_data = self.term_info_source.as_slice();
|
||||
term_info_block_data.deserialize_term_info(
|
||||
&term_info_data[term_info_block_data.offset as usize..],
|
||||
inner_offset - 1,
|
||||
)
|
||||
return term_info_block_data.ref_term_info;
|
||||
}
|
||||
let term_info_data = self.term_info_source.as_slice();
|
||||
term_info_block_data.deserialize_term_info(
|
||||
&term_info_data[term_info_block_data.offset as usize..],
|
||||
inner_offset - 1,
|
||||
)
|
||||
}
|
||||
|
||||
pub fn num_terms(&self) -> usize {
|
||||
@@ -154,16 +160,17 @@ fn bitpack_serialize<W: Write>(
|
||||
term_info_block_meta: &TermInfoBlockMeta,
|
||||
term_info: &TermInfo,
|
||||
) -> io::Result<()> {
|
||||
bit_packer.write(
|
||||
term_info.postings_start_offset,
|
||||
term_info_block_meta.postings_offset_nbits,
|
||||
write,
|
||||
)?;
|
||||
bit_packer.write(
|
||||
u64::from(term_info.doc_freq),
|
||||
term_info_block_meta.doc_freq_nbits,
|
||||
write,
|
||||
)?;
|
||||
bit_packer.write(
|
||||
term_info.postings_offset,
|
||||
term_info_block_meta.postings_offset_nbits,
|
||||
write,
|
||||
)?;
|
||||
|
||||
bit_packer.write(
|
||||
term_info.positions_idx,
|
||||
term_info_block_meta.positions_idx_nbits,
|
||||
@@ -183,23 +190,27 @@ impl TermInfoStoreWriter {
|
||||
}
|
||||
|
||||
fn flush_block(&mut self) -> io::Result<()> {
|
||||
if self.term_infos.is_empty() {
|
||||
return Ok(());
|
||||
}
|
||||
let mut bit_packer = BitPacker::new();
|
||||
let ref_term_info = self.term_infos[0].clone();
|
||||
|
||||
let last_term_info = if let Some(last_term_info) = self.term_infos.last().cloned() {
|
||||
last_term_info
|
||||
} else {
|
||||
return Ok(());
|
||||
};
|
||||
let postings_end_offset =
|
||||
last_term_info.postings_end_offset - ref_term_info.postings_start_offset;
|
||||
for term_info in &mut self.term_infos[1..] {
|
||||
term_info.postings_offset -= ref_term_info.postings_offset;
|
||||
term_info.postings_start_offset -= ref_term_info.postings_start_offset;
|
||||
term_info.positions_idx -= ref_term_info.positions_idx;
|
||||
}
|
||||
|
||||
let mut max_doc_freq: u32 = 0u32;
|
||||
let mut max_postings_offset: u64 = 0u64;
|
||||
let mut max_positions_idx: u64 = 0u64;
|
||||
let max_postings_offset: u64 = postings_end_offset;
|
||||
let max_positions_idx: u64 = last_term_info.positions_idx;
|
||||
|
||||
for term_info in &self.term_infos[1..] {
|
||||
max_doc_freq = cmp::max(max_doc_freq, term_info.doc_freq);
|
||||
max_postings_offset = cmp::max(max_postings_offset, term_info.postings_offset);
|
||||
max_positions_idx = cmp::max(max_positions_idx, term_info.positions_idx);
|
||||
}
|
||||
|
||||
let max_doc_freq_nbits: u8 = compute_num_bits(u64::from(max_doc_freq));
|
||||
@@ -224,6 +235,12 @@ impl TermInfoStoreWriter {
|
||||
)?;
|
||||
}
|
||||
|
||||
bit_packer.write(
|
||||
postings_end_offset,
|
||||
term_info_block_meta.postings_offset_nbits,
|
||||
&mut self.buffer_term_infos,
|
||||
)?;
|
||||
|
||||
// Block need end up at the end of a byte.
|
||||
bit_packer.flush(&mut self.buffer_term_infos)?;
|
||||
self.term_infos.clear();
|
||||
@@ -232,6 +249,7 @@ impl TermInfoStoreWriter {
|
||||
}
|
||||
|
||||
pub fn write_term_info(&mut self, term_info: &TermInfo) -> io::Result<()> {
|
||||
assert!(term_info.postings_end_offset >= term_info.postings_start_offset);
|
||||
self.num_terms += 1u64;
|
||||
self.term_infos.push(term_info.clone());
|
||||
if self.term_infos.len() >= BLOCK_LEN {
|
||||
@@ -291,10 +309,11 @@ mod tests {
|
||||
#[test]
|
||||
fn test_term_info_block_meta_serialization() {
|
||||
let term_info_block_meta = TermInfoBlockMeta {
|
||||
offset: 2009,
|
||||
offset: 2009u64,
|
||||
ref_term_info: TermInfo {
|
||||
doc_freq: 512,
|
||||
postings_offset: 51,
|
||||
postings_start_offset: 51,
|
||||
postings_end_offset: 57u64,
|
||||
positions_idx: 3584,
|
||||
},
|
||||
doc_freq_nbits: 10,
|
||||
@@ -312,10 +331,12 @@ mod tests {
|
||||
fn test_pack() {
|
||||
let mut store_writer = TermInfoStoreWriter::new();
|
||||
let mut term_infos = vec![];
|
||||
let offset = |i| (i * 13 + i * i) as u64;
|
||||
for i in 0..1000 {
|
||||
let term_info = TermInfo {
|
||||
doc_freq: i as u32,
|
||||
postings_offset: (i / 10) as u64,
|
||||
postings_start_offset: offset(i),
|
||||
postings_end_offset: offset(i + 1),
|
||||
positions_idx: (i * 7) as u64,
|
||||
};
|
||||
store_writer.write_term_info(&term_info).unwrap();
|
||||
@@ -325,7 +346,12 @@ mod tests {
|
||||
store_writer.serialize(&mut buffer).unwrap();
|
||||
let term_info_store = TermInfoStore::open(&ReadOnlySource::from(buffer));
|
||||
for i in 0..1000 {
|
||||
assert_eq!(term_info_store.get(i as u64), term_infos[i]);
|
||||
assert_eq!(
|
||||
term_info_store.get(i as u64),
|
||||
term_infos[i],
|
||||
"term info {}",
|
||||
i
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user