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issue/weba
| Author | SHA1 | Date | |
|---|---|---|---|
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507e46f814 | ||
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3d3da2d66f |
12
CHANGELOG.md
12
CHANGELOG.md
@@ -1,15 +1,3 @@
|
||||
Tantivy 0.8.1
|
||||
=====================
|
||||
*No change in the index format*
|
||||
- API Breaking change in the collector API. (@jwolfe, @fulmicoton)
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- Multithreaded search (@jwolfe, @fulmicoton)
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||||
|
||||
|
||||
Tantivy 0.7.1
|
||||
=====================
|
||||
*No change in the index format*
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||||
- Bugfix: NGramTokenizer panics on non ascii chars
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||||
- Added a space usage API
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||||
|
||||
Tantivy 0.7
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||||
=====================
|
||||
|
||||
16
Cargo.toml
16
Cargo.toml
@@ -1,6 +1,6 @@
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||||
[package]
|
||||
name = "tantivy"
|
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version = "0.8.0-dev"
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version = "0.7.0"
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authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
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@@ -12,12 +12,12 @@ readme = "README.md"
|
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keywords = ["search", "information", "retrieval"]
|
||||
|
||||
[dependencies]
|
||||
base64 = "0.10.0"
|
||||
base64 = "0.9.1"
|
||||
byteorder = "1.0"
|
||||
lazy_static = "1"
|
||||
regex = "1.0"
|
||||
fst = {version="0.3", default-features=false}
|
||||
fst-regex = { version="0.2" }
|
||||
fst-regex = { version="0.2", optional=true}
|
||||
lz4 = {version="1.20", optional=true}
|
||||
snap = {version="0.2"}
|
||||
atomicwrites = {version="0.2.2", optional=true}
|
||||
@@ -33,7 +33,8 @@ itertools = "0.7"
|
||||
levenshtein_automata = {version="0.1", features=["fst_automaton"]}
|
||||
bit-set = "0.5"
|
||||
uuid = { version = "0.7", features = ["v4", "serde"] }
|
||||
crossbeam = "0.5"
|
||||
crossbeam = "0.4"
|
||||
crossbeam-channel = "0.2"
|
||||
futures = "0.1"
|
||||
futures-cpupool = "0.1"
|
||||
owning_ref = "0.4"
|
||||
@@ -48,13 +49,12 @@ owned-read = "0.4"
|
||||
failure = "0.1"
|
||||
htmlescape = "0.3.1"
|
||||
fail = "0.2"
|
||||
scoped-pool = "1.0"
|
||||
|
||||
[target.'cfg(windows)'.dependencies]
|
||||
winapi = "0.2"
|
||||
|
||||
[dev-dependencies]
|
||||
rand = "0.6"
|
||||
rand = "0.5"
|
||||
maplit = "1"
|
||||
|
||||
[profile.release]
|
||||
@@ -68,11 +68,11 @@ overflow-checks = true
|
||||
|
||||
[features]
|
||||
# by default no-fail is disabled. We manually enable it when running test.
|
||||
default = ["mmap", "no_fail"]
|
||||
default = ["mmap", "no_fail", "regex_query"]
|
||||
mmap = ["fst/mmap", "atomicwrites"]
|
||||
regex_query = ["fst-regex"]
|
||||
lz4-compression = ["lz4"]
|
||||
no_fail = ["fail/no_fail"]
|
||||
unstable = [] # useful for benches.
|
||||
|
||||
[badges]
|
||||
travis-ci = { repository = "tantivy-search/tantivy" }
|
||||
|
||||
@@ -21,7 +21,7 @@
|
||||
|
||||
**Tantivy** is a **full text search engine library** written in rust.
|
||||
|
||||
It is closer to [Apache Lucene](https://lucene.apache.org/) than to [Elastic Search](https://www.elastic.co/products/elasticsearch) and [Apache Solr](https://lucene.apache.org/solr/) in the sense it is not
|
||||
It is closer to Lucene than to Elastic Search and Solr in the sense it is not
|
||||
an off-the-shelf search engine server, but rather a crate that can be used
|
||||
to build such a search engine.
|
||||
|
||||
|
||||
@@ -16,11 +16,10 @@ extern crate tempdir;
|
||||
// Importing tantivy...
|
||||
#[macro_use]
|
||||
extern crate tantivy;
|
||||
use tantivy::collector::TopDocs;
|
||||
use tantivy::collector::TopCollector;
|
||||
use tantivy::query::QueryParser;
|
||||
use tantivy::schema::*;
|
||||
use tantivy::Index;
|
||||
use tempdir::TempDir;
|
||||
|
||||
fn main() -> tantivy::Result<()> {
|
||||
// Let's create a temporary directory for the
|
||||
@@ -35,7 +34,7 @@ fn main() -> tantivy::Result<()> {
|
||||
// be indexed".
|
||||
|
||||
// first we need to define a schema ...
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
// Our first field is title.
|
||||
// We want full-text search for it, and we also want
|
||||
@@ -106,37 +105,37 @@ fn main() -> tantivy::Result<()> {
|
||||
// For convenience, tantivy also comes with a macro to
|
||||
// reduce the boilerplate above.
|
||||
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"
|
||||
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"
|
||||
));
|
||||
|
||||
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"
|
||||
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",
|
||||
title => "The Modern Prometheus",
|
||||
body => "You will rejoice to hear that no disaster has accompanied the commencement of an \
|
||||
enterprise which you have regarded with such evil forebodings. I arrived here \
|
||||
yesterday, and my first task is to assure my dear sister of my welfare and \
|
||||
increasing confidence in the success of my undertaking."
|
||||
title => "Frankenstein",
|
||||
title => "The Modern Prometheus",
|
||||
body => "You will rejoice to hear that no disaster has accompanied the commencement of an \
|
||||
enterprise which you have regarded with such evil forebodings. I arrived here \
|
||||
yesterday, and my first task is to assure my dear sister of my welfare and \
|
||||
increasing confidence in the success of my undertaking."
|
||||
));
|
||||
|
||||
// This is an example, so we will only index 3 documents
|
||||
@@ -213,10 +212,15 @@ fn main() -> tantivy::Result<()> {
|
||||
//
|
||||
// We are not interested in all of the documents but
|
||||
// only in the top 10. Keeping track of our top 10 best documents
|
||||
// is the role of the TopDocs.
|
||||
// is the role of the TopCollector.
|
||||
let mut top_collector = TopCollector::with_limit(10);
|
||||
|
||||
// We can now perform our query.
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
|
||||
searcher.search(&*query, &mut top_collector)?;
|
||||
|
||||
// Our top collector now contains the 10
|
||||
// most relevant doc ids...
|
||||
let doc_addresses = top_collector.docs();
|
||||
|
||||
// The actual documents still need to be
|
||||
// retrieved from Tantivy's store.
|
||||
@@ -225,10 +229,12 @@ fn main() -> tantivy::Result<()> {
|
||||
// the document returned will only contain
|
||||
// a title.
|
||||
|
||||
for (_score, doc_address) in top_docs {
|
||||
for doc_address in doc_addresses {
|
||||
let retrieved_doc = searcher.doc(doc_address)?;
|
||||
println!("{}", schema.to_json(&retrieved_doc));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
use tempdir::TempDir;
|
||||
|
||||
@@ -1,189 +0,0 @@
|
||||
// # Custom collector example
|
||||
//
|
||||
// This example shows how you can implement your own
|
||||
// collector. As an example, we will compute a collector
|
||||
// that computes the standard deviation of a given fast field.
|
||||
//
|
||||
// Of course, you can have a look at the tantivy's built-in collectors
|
||||
// such as the `CountCollector` for more examples.
|
||||
|
||||
extern crate tempdir;
|
||||
|
||||
// ---
|
||||
// Importing tantivy...
|
||||
#[macro_use]
|
||||
extern crate tantivy;
|
||||
use tantivy::collector::{Collector, SegmentCollector};
|
||||
use tantivy::fastfield::FastFieldReader;
|
||||
use tantivy::query::QueryParser;
|
||||
use tantivy::schema::Field;
|
||||
use tantivy::schema::{Schema, FAST, INT_INDEXED, TEXT};
|
||||
use tantivy::Index;
|
||||
use tantivy::SegmentReader;
|
||||
|
||||
#[derive(Default)]
|
||||
struct Stats {
|
||||
count: usize,
|
||||
sum: f64,
|
||||
squared_sum: f64,
|
||||
}
|
||||
|
||||
impl Stats {
|
||||
pub fn count(&self) -> usize {
|
||||
self.count
|
||||
}
|
||||
|
||||
pub fn mean(&self) -> f64 {
|
||||
self.sum / (self.count as f64)
|
||||
}
|
||||
|
||||
fn square_mean(&self) -> f64 {
|
||||
self.squared_sum / (self.count as f64)
|
||||
}
|
||||
|
||||
pub fn standard_deviation(&self) -> f64 {
|
||||
let mean = self.mean();
|
||||
(self.square_mean() - mean * mean).sqrt()
|
||||
}
|
||||
|
||||
fn non_zero_count(self) -> Option<Stats> {
|
||||
if self.count == 0 {
|
||||
None
|
||||
} else {
|
||||
Some(self)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct StatsCollector {
|
||||
field: Field,
|
||||
}
|
||||
|
||||
impl StatsCollector {
|
||||
fn with_field(field: Field) -> StatsCollector {
|
||||
StatsCollector { field }
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for StatsCollector {
|
||||
// That's the type of our result.
|
||||
// Our standard deviation will be a float.
|
||||
type Fruit = Option<Stats>;
|
||||
|
||||
type SegmentFruit = Self::Fruit;
|
||||
|
||||
type Child = StatsSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
_segment_local_id: u32,
|
||||
segment: &SegmentReader,
|
||||
) -> tantivy::Result<StatsSegmentCollector> {
|
||||
let fast_field_reader = segment.fast_field_reader(self.field)?;
|
||||
Ok(StatsSegmentCollector {
|
||||
fast_field_reader,
|
||||
stats: Stats::default(),
|
||||
})
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
// this collector does not care about score.
|
||||
false
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, segment_stats: Vec<Option<Stats>>) -> tantivy::Result<Option<Stats>> {
|
||||
let mut stats = Stats::default();
|
||||
for segment_stats_opt in segment_stats {
|
||||
if let Some(segment_stats) = segment_stats_opt {
|
||||
stats.count += segment_stats.count;
|
||||
stats.sum += segment_stats.sum;
|
||||
stats.squared_sum += segment_stats.squared_sum;
|
||||
}
|
||||
}
|
||||
Ok(stats.non_zero_count())
|
||||
}
|
||||
}
|
||||
|
||||
struct StatsSegmentCollector {
|
||||
fast_field_reader: FastFieldReader<u64>,
|
||||
stats: Stats,
|
||||
}
|
||||
|
||||
impl SegmentCollector for StatsSegmentCollector {
|
||||
type Fruit = Option<Stats>;
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: f32) {
|
||||
let value = self.fast_field_reader.get(doc) as f64;
|
||||
self.stats.count += 1;
|
||||
self.stats.sum += value;
|
||||
self.stats.squared_sum += value * value;
|
||||
}
|
||||
|
||||
fn harvest(self) -> <Self as SegmentCollector>::Fruit {
|
||||
self.stats.non_zero_count()
|
||||
}
|
||||
}
|
||||
|
||||
fn main() -> tantivy::Result<()> {
|
||||
// # Defining the schema
|
||||
//
|
||||
// The Tantivy index requires a very strict schema.
|
||||
// The schema declares which fields are in the index,
|
||||
// and for each field, its type and "the way it should
|
||||
// be indexed".
|
||||
|
||||
// first we need to define a schema ...
|
||||
let mut schema_builder = Schema::builder();
|
||||
|
||||
// We'll assume a fictional index containing
|
||||
// products, and with a name, a description, and a price.
|
||||
let product_name = schema_builder.add_text_field("name", TEXT);
|
||||
let product_description = schema_builder.add_text_field("description", TEXT);
|
||||
let price = schema_builder.add_u64_field("price", INT_INDEXED | FAST);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
// # Indexing documents
|
||||
//
|
||||
// Lets index a bunch of fake documents for the sake of
|
||||
// this example.
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
let mut index_writer = index.writer(50_000_000)?;
|
||||
index_writer.add_document(doc!(
|
||||
product_name => "Super Broom 2000",
|
||||
product_description => "While it is ok for short distance travel, this broom \
|
||||
was designed quiditch. It will up your game.",
|
||||
price => 30_200u64
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
product_name => "Turbulobroom",
|
||||
product_description => "You might have heard of this broom before : it is the sponsor of the Wales team.\
|
||||
You'll enjoy its sharp turns, and rapid acceleration",
|
||||
price => 29_240u64
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
product_name => "Broomio",
|
||||
product_description => "Great value for the price. This broom is a market favorite",
|
||||
price => 21_240u64
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
product_name => "Whack a Mole",
|
||||
product_description => "Prime quality bat.",
|
||||
price => 5_200u64
|
||||
));
|
||||
index_writer.commit()?;
|
||||
index.load_searchers()?;
|
||||
|
||||
let searcher = index.searcher();
|
||||
let query_parser = QueryParser::for_index(&index, vec![product_name, product_description]);
|
||||
|
||||
// here we want to get a hit on the 'ken' in Frankenstein
|
||||
let query = query_parser.parse_query("broom")?;
|
||||
if let Some(stats) = searcher.search(&query, &StatsCollector::with_field(price))? {
|
||||
println!("count: {}", stats.count());
|
||||
println!("mean: {}", stats.mean());
|
||||
println!("standard deviation: {}", stats.standard_deviation());
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@@ -5,7 +5,7 @@
|
||||
|
||||
#[macro_use]
|
||||
extern crate tantivy;
|
||||
use tantivy::collector::TopDocs;
|
||||
use tantivy::collector::TopCollector;
|
||||
use tantivy::query::QueryParser;
|
||||
use tantivy::schema::*;
|
||||
use tantivy::tokenizer::NgramTokenizer;
|
||||
@@ -20,7 +20,7 @@ fn main() -> tantivy::Result<()> {
|
||||
// be indexed".
|
||||
|
||||
// first we need to define a schema ...
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
// Our first field is title.
|
||||
// In this example we want to use NGram searching
|
||||
@@ -68,12 +68,12 @@ fn main() -> tantivy::Result<()> {
|
||||
// heap for the indexer can increase its throughput.
|
||||
let mut index_writer = index.writer(50_000_000)?;
|
||||
index_writer.add_document(doc!(
|
||||
title => "The Old Man and the Sea",
|
||||
body => "He was an old man who fished alone in a skiff in the Gulf Stream and \
|
||||
he had gone eighty-four days now without taking a fish."
|
||||
title => "The Old Man and the Sea",
|
||||
body => "He was an old man who fished alone in a skiff in the Gulf Stream and \
|
||||
he had gone eighty-four days now without taking a fish."
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
title => "Of Mice and Men",
|
||||
title => "Of Mice and Men",
|
||||
body => r#"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
|
||||
@@ -84,7 +84,7 @@ fn main() -> tantivy::Result<()> {
|
||||
limbs and branches that arch over the pool"#
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
title => "Frankenstein",
|
||||
title => "Frankenstein",
|
||||
body => r#"You will rejoice to hear that no disaster has accompanied the commencement of an
|
||||
enterprise which you have regarded with such evil forebodings. I arrived here
|
||||
yesterday, and my first task is to assure my dear sister of my welfare and
|
||||
@@ -104,9 +104,11 @@ fn main() -> tantivy::Result<()> {
|
||||
// here we want to get a hit on the 'ken' in Frankenstein
|
||||
let query = query_parser.parse_query("ken")?;
|
||||
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
|
||||
let mut top_collector = TopCollector::with_limit(10);
|
||||
searcher.search(&*query, &mut top_collector)?;
|
||||
|
||||
for (_, doc_address) in top_docs {
|
||||
let doc_addresses = top_collector.docs();
|
||||
for doc_address in doc_addresses {
|
||||
let retrieved_doc = searcher.doc(doc_address)?;
|
||||
println!("{}", schema.to_json(&retrieved_doc));
|
||||
}
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
// Importing tantivy...
|
||||
#[macro_use]
|
||||
extern crate tantivy;
|
||||
use tantivy::collector::TopDocs;
|
||||
use tantivy::collector::TopCollector;
|
||||
use tantivy::query::TermQuery;
|
||||
use tantivy::schema::*;
|
||||
use tantivy::Index;
|
||||
@@ -27,9 +27,10 @@ fn extract_doc_given_isbn(index: &Index, isbn_term: &Term) -> tantivy::Result<Op
|
||||
// The second argument is here to tell we don't care about decoding positions,
|
||||
// or term frequencies.
|
||||
let term_query = TermQuery::new(isbn_term.clone(), IndexRecordOption::Basic);
|
||||
let top_docs = searcher.search(&term_query, &TopDocs::with_limit(1))?;
|
||||
let mut top_collector = TopCollector::with_limit(1);
|
||||
searcher.search(&term_query, &mut top_collector)?;
|
||||
|
||||
if let Some((_score, doc_address)) = top_docs.first() {
|
||||
if let Some(doc_address) = top_collector.docs().first() {
|
||||
let doc = searcher.doc(*doc_address)?;
|
||||
Ok(Some(doc))
|
||||
} else {
|
||||
@@ -43,7 +44,7 @@ fn main() -> tantivy::Result<()> {
|
||||
//
|
||||
// Check out the *basic_search* example if this makes
|
||||
// small sense to you.
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
// Tantivy does not really have a notion of primary id.
|
||||
// This may change in the future.
|
||||
|
||||
@@ -25,7 +25,7 @@ fn main() -> tantivy::Result<()> {
|
||||
// Let's create a temporary directory for the
|
||||
// sake of this example
|
||||
let index_path = TempDir::new("tantivy_facet_example_dir")?;
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
schema_builder.add_text_field("name", TEXT | STORED);
|
||||
|
||||
@@ -62,10 +62,11 @@ fn main() -> tantivy::Result<()> {
|
||||
let mut facet_collector = FacetCollector::for_field(tags);
|
||||
facet_collector.add_facet("/pools");
|
||||
|
||||
let facet_counts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
|
||||
let counts = facet_collector.harvest();
|
||||
// This lists all of the facet counts
|
||||
let facets: Vec<(&Facet, u64)> = facet_counts.get("/pools").collect();
|
||||
let facets: Vec<(&Facet, u64)> = counts.get("/pools").collect();
|
||||
assert_eq!(
|
||||
facets,
|
||||
vec![
|
||||
|
||||
@@ -18,7 +18,7 @@ use tantivy::{DocId, DocSet, Postings};
|
||||
fn main() -> tantivy::Result<()> {
|
||||
// We first create a schema for the sake of the
|
||||
// example. Check the `basic_search` example for more information.
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
// For this example, we need to make sure to index positions for our title
|
||||
// field. `TEXT` precisely does this.
|
||||
|
||||
@@ -10,11 +10,11 @@ extern crate tempdir;
|
||||
// Importing tantivy...
|
||||
#[macro_use]
|
||||
extern crate tantivy;
|
||||
use tantivy::collector::TopDocs;
|
||||
use tantivy::collector::TopCollector;
|
||||
use tantivy::query::QueryParser;
|
||||
use tantivy::schema::*;
|
||||
use tantivy::Index;
|
||||
use tantivy::{Snippet, SnippetGenerator};
|
||||
use tantivy::SnippetGenerator;
|
||||
use tempdir::TempDir;
|
||||
|
||||
fn main() -> tantivy::Result<()> {
|
||||
@@ -23,7 +23,7 @@ fn main() -> tantivy::Result<()> {
|
||||
let index_path = TempDir::new("tantivy_example_dir")?;
|
||||
|
||||
// # Defining the schema
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let title = schema_builder.add_text_field("title", TEXT | STORED);
|
||||
let body = schema_builder.add_text_field("body", TEXT | STORED);
|
||||
let schema = schema_builder.build();
|
||||
@@ -35,15 +35,15 @@ fn main() -> tantivy::Result<()> {
|
||||
|
||||
// we'll only need one doc for this example.
|
||||
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"
|
||||
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"
|
||||
));
|
||||
// ...
|
||||
index_writer.commit()?;
|
||||
@@ -54,34 +54,18 @@ fn main() -> tantivy::Result<()> {
|
||||
let query_parser = QueryParser::for_index(&index, vec![title, body]);
|
||||
let query = query_parser.parse_query("sycamore spring")?;
|
||||
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
|
||||
let mut top_collector = TopCollector::with_limit(10);
|
||||
searcher.search(&*query, &mut top_collector)?;
|
||||
|
||||
let snippet_generator = SnippetGenerator::create(&searcher, &*query, body)?;
|
||||
let snippet_generator = SnippetGenerator::new(&searcher, &*query, body)?;
|
||||
|
||||
for (score, doc_address) in top_docs {
|
||||
let doc_addresses = top_collector.docs();
|
||||
for doc_address in doc_addresses {
|
||||
let doc = searcher.doc(doc_address)?;
|
||||
let snippet = snippet_generator.snippet_from_doc(&doc);
|
||||
println!("Document score {}:", score);
|
||||
println!("title: {}", doc.get_first(title).unwrap().text().unwrap());
|
||||
println!("snippet: {}", snippet.to_html());
|
||||
println!("custom highlighting: {}", highlight(snippet));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn highlight(snippet: Snippet) -> String {
|
||||
let mut result = String::new();
|
||||
let mut start_from = 0;
|
||||
|
||||
for (start, end) in snippet.highlighted().iter().map(|h| h.bounds()) {
|
||||
result.push_str(&snippet.fragments()[start_from..start]);
|
||||
result.push_str(" --> ");
|
||||
result.push_str(&snippet.fragments()[start..end]);
|
||||
result.push_str(" <-- ");
|
||||
start_from = end;
|
||||
}
|
||||
|
||||
result.push_str(&snippet.fragments()[start_from..]);
|
||||
result
|
||||
}
|
||||
|
||||
@@ -15,7 +15,7 @@ extern crate tempdir;
|
||||
// Importing tantivy...
|
||||
#[macro_use]
|
||||
extern crate tantivy;
|
||||
use tantivy::collector::TopDocs;
|
||||
use tantivy::collector::TopCollector;
|
||||
use tantivy::query::QueryParser;
|
||||
use tantivy::schema::*;
|
||||
use tantivy::tokenizer::*;
|
||||
@@ -23,7 +23,7 @@ use tantivy::Index;
|
||||
|
||||
fn main() -> tantivy::Result<()> {
|
||||
// this example assumes you understand the content in `basic_search`
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
// This configures your custom options for how tantivy will
|
||||
// store and process your content in the index; The key
|
||||
@@ -72,26 +72,26 @@ fn main() -> tantivy::Result<()> {
|
||||
title => "The Old Man and the Sea",
|
||||
body => "He was an old man who fished alone in a skiff in the Gulf Stream and \
|
||||
he had gone eighty-four days now without taking a fish."
|
||||
));
|
||||
));
|
||||
|
||||
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"
|
||||
));
|
||||
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"
|
||||
));
|
||||
|
||||
index_writer.add_document(doc!(
|
||||
title => "Frankenstein",
|
||||
body => "You will rejoice to hear that no disaster has accompanied the commencement of an \
|
||||
enterprise which you have regarded with such evil forebodings. I arrived here \
|
||||
yesterday, and my first task is to assure my dear sister of my welfare and \
|
||||
increasing confidence in the success of my undertaking."
|
||||
title => "Frankenstein",
|
||||
body => "You will rejoice to hear that no disaster has accompanied the commencement of an \
|
||||
enterprise which you have regarded with such evil forebodings. I arrived here \
|
||||
yesterday, and my first task is to assure my dear sister of my welfare and \
|
||||
increasing confidence in the success of my undertaking."
|
||||
));
|
||||
|
||||
index_writer.commit()?;
|
||||
@@ -105,11 +105,15 @@ fn main() -> tantivy::Result<()> {
|
||||
// stop words are applied on the query as well.
|
||||
// The following will be equivalent to `title:frankenstein`
|
||||
let query = query_parser.parse_query("title:\"the Frankenstein\"")?;
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
|
||||
|
||||
for (score, doc_address) in top_docs {
|
||||
let mut top_collector = TopCollector::with_limit(10);
|
||||
|
||||
searcher.search(&*query, &mut top_collector)?;
|
||||
|
||||
let doc_addresses = top_collector.docs();
|
||||
|
||||
for doc_address in doc_addresses {
|
||||
let retrieved_doc = searcher.doc(doc_address)?;
|
||||
println!("\n==\nDocument score {}:", score);
|
||||
println!("{}", schema.to_json(&retrieved_doc));
|
||||
}
|
||||
|
||||
|
||||
@@ -9,7 +9,7 @@ fn main() -> tantivy::Result<()> {
|
||||
// Check out the basic example if this is confusing to you.
|
||||
//
|
||||
// first we need to define a schema ...
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
schema_builder.add_text_field("title", TEXT | STORED);
|
||||
schema_builder.add_text_field("body", TEXT);
|
||||
schema_builder.add_u64_field("year", INT_INDEXED);
|
||||
|
||||
142
src/collector/chained_collector.rs
Normal file
142
src/collector/chained_collector.rs
Normal file
@@ -0,0 +1,142 @@
|
||||
use collector::Collector;
|
||||
use DocId;
|
||||
use Result;
|
||||
use Score;
|
||||
use SegmentLocalId;
|
||||
use SegmentReader;
|
||||
|
||||
/// Collector that does nothing.
|
||||
/// This is used in the chain Collector and will hopefully
|
||||
/// be optimized away by the compiler.
|
||||
pub struct DoNothingCollector;
|
||||
impl Collector for DoNothingCollector {
|
||||
#[inline]
|
||||
fn set_segment(&mut self, _: SegmentLocalId, _: &SegmentReader) -> Result<()> {
|
||||
Ok(())
|
||||
}
|
||||
#[inline]
|
||||
fn collect(&mut self, _doc: DocId, _score: Score) {}
|
||||
#[inline]
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
}
|
||||
|
||||
/// Zero-cost abstraction used to collect on multiple collectors.
|
||||
/// This contraption is only usable if the type of your collectors
|
||||
/// are known at compile time.
|
||||
///
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result};
|
||||
/// use tantivy::collector::{CountCollector, TopCollector, chain};
|
||||
/// use tantivy::query::QueryParser;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// 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(3_000_000)?;
|
||||
/// 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",
|
||||
/// ));
|
||||
/// index_writer.add_document(doc!(
|
||||
/// title => "The Diary of a Young Girl",
|
||||
/// ));
|
||||
/// index_writer.commit().unwrap();
|
||||
/// }
|
||||
///
|
||||
/// index.load_searchers()?;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// {
|
||||
/// let mut top_collector = TopCollector::with_limit(2);
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// {
|
||||
/// let mut collectors = chain().push(&mut top_collector).push(&mut count_collector);
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// searcher.search(&*query, &mut collectors).unwrap();
|
||||
/// }
|
||||
/// assert_eq!(count_collector.count(), 2);
|
||||
/// assert!(top_collector.at_capacity());
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
/// ```
|
||||
pub struct ChainedCollector<Left: Collector, Right: Collector> {
|
||||
left: Left,
|
||||
right: Right,
|
||||
}
|
||||
|
||||
impl<Left: Collector, Right: Collector> ChainedCollector<Left, Right> {
|
||||
/// Adds a collector
|
||||
pub fn push<C: Collector>(self, new_collector: &mut C) -> ChainedCollector<Self, &mut C> {
|
||||
ChainedCollector {
|
||||
left: self,
|
||||
right: new_collector,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<Left: Collector, Right: Collector> Collector for ChainedCollector<Left, Right> {
|
||||
fn set_segment(
|
||||
&mut self,
|
||||
segment_local_id: SegmentLocalId,
|
||||
segment: &SegmentReader,
|
||||
) -> Result<()> {
|
||||
self.left.set_segment(segment_local_id, segment)?;
|
||||
self.right.set_segment(segment_local_id, segment)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.left.collect(doc, score);
|
||||
self.right.collect(doc, score);
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.left.requires_scoring() || self.right.requires_scoring()
|
||||
}
|
||||
}
|
||||
|
||||
/// Creates a `ChainedCollector`
|
||||
pub fn chain() -> ChainedCollector<DoNothingCollector, DoNothingCollector> {
|
||||
ChainedCollector {
|
||||
left: DoNothingCollector,
|
||||
right: DoNothingCollector,
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use super::*;
|
||||
use collector::{Collector, CountCollector, TopCollector};
|
||||
|
||||
#[test]
|
||||
fn test_chained_collector() {
|
||||
let mut top_collector = TopCollector::with_limit(2);
|
||||
let mut count_collector = CountCollector::default();
|
||||
{
|
||||
let mut collectors = chain().push(&mut top_collector).push(&mut count_collector);
|
||||
collectors.collect(1, 0.2);
|
||||
collectors.collect(2, 0.1);
|
||||
collectors.collect(3, 0.5);
|
||||
}
|
||||
assert_eq!(count_collector.count(), 3);
|
||||
assert!(top_collector.at_capacity());
|
||||
}
|
||||
}
|
||||
@@ -1,5 +1,4 @@
|
||||
use super::Collector;
|
||||
use collector::SegmentCollector;
|
||||
use DocId;
|
||||
use Result;
|
||||
use Score;
|
||||
@@ -12,14 +11,14 @@ use SegmentReader;
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{Schema, TEXT};
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result};
|
||||
/// use tantivy::collector::Count;
|
||||
/// use tantivy::collector::CountCollector;
|
||||
/// use tantivy::query::QueryParser;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
@@ -44,87 +43,59 @@ use SegmentReader;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// {
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// let count = searcher.search(&query, &Count).unwrap();
|
||||
/// searcher.search(&*query, &mut count_collector).unwrap();
|
||||
///
|
||||
/// assert_eq!(count, 2);
|
||||
/// assert_eq!(count_collector.count(), 2);
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
/// ```
|
||||
pub struct Count;
|
||||
|
||||
impl Collector for Count {
|
||||
type Fruit = usize;
|
||||
type SegmentFruit = usize;
|
||||
|
||||
type Child = SegmentCountCollector;
|
||||
|
||||
fn for_segment(&self, _: SegmentLocalId, _: &SegmentReader) -> Result<SegmentCountCollector> {
|
||||
Ok(SegmentCountCollector::default())
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, segment_counts: Vec<usize>) -> Result<usize> {
|
||||
Ok(segment_counts.into_iter().sum())
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct SegmentCountCollector {
|
||||
pub struct CountCollector {
|
||||
count: usize,
|
||||
}
|
||||
|
||||
impl SegmentCollector for SegmentCountCollector {
|
||||
type Fruit = usize;
|
||||
impl CountCollector {
|
||||
/// Returns the count of documents that were
|
||||
/// collected.
|
||||
pub fn count(&self) -> usize {
|
||||
self.count
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for CountCollector {
|
||||
fn set_segment(&mut self, _: SegmentLocalId, _: &SegmentReader) -> Result<()> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn collect(&mut self, _: DocId, _: Score) {
|
||||
self.count += 1;
|
||||
}
|
||||
|
||||
fn harvest(self) -> usize {
|
||||
self.count
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::{Count, SegmentCountCollector};
|
||||
use collector::Collector;
|
||||
use collector::SegmentCollector;
|
||||
|
||||
use collector::{Collector, CountCollector};
|
||||
|
||||
#[test]
|
||||
fn test_count_collect_does_not_requires_scoring() {
|
||||
assert!(!Count.requires_scoring());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_segment_count_collector() {
|
||||
{
|
||||
let count_collector = SegmentCountCollector::default();
|
||||
assert_eq!(count_collector.harvest(), 0);
|
||||
}
|
||||
{
|
||||
let mut count_collector = SegmentCountCollector::default();
|
||||
count_collector.collect(0u32, 1f32);
|
||||
assert_eq!(count_collector.harvest(), 1);
|
||||
}
|
||||
{
|
||||
let mut count_collector = SegmentCountCollector::default();
|
||||
count_collector.collect(0u32, 1f32);
|
||||
assert_eq!(count_collector.harvest(), 1);
|
||||
}
|
||||
{
|
||||
let mut count_collector = SegmentCountCollector::default();
|
||||
count_collector.collect(0u32, 1f32);
|
||||
count_collector.collect(1u32, 1f32);
|
||||
assert_eq!(count_collector.harvest(), 2);
|
||||
}
|
||||
fn test_count_collector() {
|
||||
let mut count_collector = CountCollector::default();
|
||||
assert_eq!(count_collector.count(), 0);
|
||||
count_collector.collect(0u32, 1f32);
|
||||
assert_eq!(count_collector.count(), 1);
|
||||
assert_eq!(count_collector.count(), 1);
|
||||
count_collector.collect(1u32, 1f32);
|
||||
assert_eq!(count_collector.count(), 2);
|
||||
assert!(!count_collector.requires_scoring());
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@@ -1,17 +1,20 @@
|
||||
use collector::Collector;
|
||||
use collector::SegmentCollector;
|
||||
use docset::SkipResult;
|
||||
use fastfield::FacetReader;
|
||||
use schema::Facet;
|
||||
use schema::Field;
|
||||
use std::cmp::Ordering;
|
||||
use std::cell::UnsafeCell;
|
||||
use std::collections::btree_map;
|
||||
use std::collections::BTreeMap;
|
||||
use std::collections::BTreeSet;
|
||||
use std::collections::BinaryHeap;
|
||||
use std::collections::Bound;
|
||||
use std::iter::Peekable;
|
||||
use std::mem;
|
||||
use std::{u64, usize};
|
||||
use termdict::TermMerger;
|
||||
|
||||
use std::cmp::Ordering;
|
||||
use DocId;
|
||||
use Result;
|
||||
use Score;
|
||||
@@ -43,6 +46,12 @@ impl<'a> Ord for Hit<'a> {
|
||||
}
|
||||
}
|
||||
|
||||
struct SegmentFacetCounter {
|
||||
pub facet_reader: FacetReader,
|
||||
pub facet_ords: Vec<u64>,
|
||||
pub facet_counts: Vec<u64>,
|
||||
}
|
||||
|
||||
fn facet_depth(facet_bytes: &[u8]) -> usize {
|
||||
if facet_bytes.is_empty() {
|
||||
0
|
||||
@@ -82,14 +91,14 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{Facet, Schema, TEXT};
|
||||
/// use tantivy::schema::{Facet, SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result};
|
||||
/// use tantivy::collector::FacetCollector;
|
||||
/// use tantivy::query::AllQuery;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
///
|
||||
/// // Facet have their own specific type.
|
||||
/// // It is not a bad practise to put all of your
|
||||
@@ -132,10 +141,13 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
|
||||
/// let mut facet_collector = FacetCollector::for_field(facet);
|
||||
/// facet_collector.add_facet("/lang");
|
||||
/// facet_collector.add_facet("/category");
|
||||
/// let facet_counts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
/// searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
///
|
||||
/// // this object contains count aggregate for all of the facets.
|
||||
/// let counts = facet_collector.harvest();
|
||||
///
|
||||
/// // This lists all of the facet counts
|
||||
/// let facets: Vec<(&Facet, u64)> = facet_counts
|
||||
/// let facets: Vec<(&Facet, u64)> = counts
|
||||
/// .get("/category")
|
||||
/// .collect();
|
||||
/// assert_eq!(facets, vec![
|
||||
@@ -147,10 +159,13 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
|
||||
/// {
|
||||
/// let mut facet_collector = FacetCollector::for_field(facet);
|
||||
/// facet_collector.add_facet("/category/fiction");
|
||||
/// let facet_counts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
/// searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
///
|
||||
/// // this object contains count aggregate for all of the facets.
|
||||
/// let counts = facet_collector.harvest();
|
||||
///
|
||||
/// // This lists all of the facet counts
|
||||
/// let facets: Vec<(&Facet, u64)> = facet_counts
|
||||
/// let facets: Vec<(&Facet, u64)> = counts
|
||||
/// .get("/category/fiction")
|
||||
/// .collect();
|
||||
/// assert_eq!(facets, vec![
|
||||
@@ -163,10 +178,13 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
|
||||
/// {
|
||||
/// let mut facet_collector = FacetCollector::for_field(facet);
|
||||
/// facet_collector.add_facet("/category/fiction");
|
||||
/// let facet_counts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
/// searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
///
|
||||
/// // this object contains count aggregate for all of the facets.
|
||||
/// let counts = facet_collector.harvest();
|
||||
///
|
||||
/// // This lists all of the facet counts
|
||||
/// let facets: Vec<(&Facet, u64)> = facet_counts.top_k("/category/fiction", 1);
|
||||
/// let facets: Vec<(&Facet, u64)> = counts.top_k("/category/fiction", 1);
|
||||
/// assert_eq!(facets, vec![
|
||||
/// (&Facet::from("/category/fiction/fantasy"), 2)
|
||||
/// ]);
|
||||
@@ -176,19 +194,19 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
|
||||
/// }
|
||||
/// ```
|
||||
pub struct FacetCollector {
|
||||
facet_ords: Vec<u64>,
|
||||
field: Field,
|
||||
facets: BTreeSet<Facet>,
|
||||
}
|
||||
ff_reader: Option<UnsafeCell<FacetReader>>,
|
||||
segment_counters: Vec<SegmentFacetCounter>,
|
||||
|
||||
pub struct FacetSegmentCollector {
|
||||
reader: FacetReader,
|
||||
facet_ords_buf: Vec<u64>,
|
||||
// facet_ord -> collapse facet_id
|
||||
collapse_mapping: Vec<usize>,
|
||||
current_segment_collapse_mapping: Vec<usize>,
|
||||
// collapse facet_id -> count
|
||||
counts: Vec<u64>,
|
||||
current_segment_counts: Vec<u64>,
|
||||
// collapse facet_id -> facet_ord
|
||||
collapse_facet_ords: Vec<u64>,
|
||||
current_collapse_facet_ords: Vec<u64>,
|
||||
|
||||
facets: BTreeSet<Facet>,
|
||||
}
|
||||
|
||||
fn skip<'a, I: Iterator<Item = &'a Facet>>(
|
||||
@@ -222,8 +240,15 @@ impl FacetCollector {
|
||||
/// is of the proper type.
|
||||
pub fn for_field(field: Field) -> FacetCollector {
|
||||
FacetCollector {
|
||||
facet_ords: Vec::with_capacity(255),
|
||||
segment_counters: Vec::new(),
|
||||
field,
|
||||
facets: BTreeSet::default(),
|
||||
ff_reader: None,
|
||||
facets: BTreeSet::new(),
|
||||
|
||||
current_segment_collapse_mapping: Vec::new(),
|
||||
current_collapse_facet_ords: Vec::new(),
|
||||
current_segment_counts: Vec::new(),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -253,102 +278,143 @@ impl FacetCollector {
|
||||
}
|
||||
self.facets.insert(facet);
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for FacetCollector {
|
||||
type Fruit = FacetCounts;
|
||||
|
||||
type SegmentFruit = FacetCounts;
|
||||
|
||||
type Child = FacetSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
_: SegmentLocalId,
|
||||
reader: &SegmentReader,
|
||||
) -> Result<FacetSegmentCollector> {
|
||||
let facet_reader = reader.facet_reader(self.field)?;
|
||||
|
||||
let mut collapse_mapping = Vec::new();
|
||||
let mut counts = Vec::new();
|
||||
let mut collapse_facet_ords = Vec::new();
|
||||
|
||||
fn set_collapse_mapping(&mut self, facet_reader: &FacetReader) {
|
||||
self.current_segment_collapse_mapping.clear();
|
||||
self.current_collapse_facet_ords.clear();
|
||||
self.current_segment_counts.clear();
|
||||
let mut collapse_facet_it = self.facets.iter().peekable();
|
||||
collapse_facet_ords.push(0);
|
||||
{
|
||||
let mut facet_streamer = facet_reader.facet_dict().range().into_stream();
|
||||
if facet_streamer.advance() {
|
||||
'outer: loop {
|
||||
// at the begining of this loop, facet_streamer
|
||||
// is positionned on a term that has not been processed yet.
|
||||
let skip_result = skip(facet_streamer.key(), &mut collapse_facet_it);
|
||||
match skip_result {
|
||||
SkipResult::Reached => {
|
||||
// we reach a facet we decided to collapse.
|
||||
let collapse_depth = facet_depth(facet_streamer.key());
|
||||
let mut collapsed_id = 0;
|
||||
collapse_mapping.push(0);
|
||||
while facet_streamer.advance() {
|
||||
let depth = facet_depth(facet_streamer.key());
|
||||
if depth <= collapse_depth {
|
||||
continue 'outer;
|
||||
}
|
||||
if depth == collapse_depth + 1 {
|
||||
collapsed_id = collapse_facet_ords.len();
|
||||
collapse_facet_ords.push(facet_streamer.term_ord());
|
||||
collapse_mapping.push(collapsed_id);
|
||||
} else {
|
||||
collapse_mapping.push(collapsed_id);
|
||||
}
|
||||
}
|
||||
break;
|
||||
self.current_collapse_facet_ords.push(0);
|
||||
let mut facet_streamer = facet_reader.facet_dict().range().into_stream();
|
||||
if !facet_streamer.advance() {
|
||||
return;
|
||||
}
|
||||
'outer: loop {
|
||||
// at the begining of this loop, facet_streamer
|
||||
// is positionned on a term that has not been processed yet.
|
||||
let skip_result = skip(facet_streamer.key(), &mut collapse_facet_it);
|
||||
match skip_result {
|
||||
SkipResult::Reached => {
|
||||
// we reach a facet we decided to collapse.
|
||||
let collapse_depth = facet_depth(facet_streamer.key());
|
||||
let mut collapsed_id = 0;
|
||||
self.current_segment_collapse_mapping.push(0);
|
||||
while facet_streamer.advance() {
|
||||
let depth = facet_depth(facet_streamer.key());
|
||||
if depth <= collapse_depth {
|
||||
continue 'outer;
|
||||
}
|
||||
SkipResult::End | SkipResult::OverStep => {
|
||||
collapse_mapping.push(0);
|
||||
if !facet_streamer.advance() {
|
||||
break;
|
||||
}
|
||||
if depth == collapse_depth + 1 {
|
||||
collapsed_id = self.current_collapse_facet_ords.len();
|
||||
self.current_collapse_facet_ords
|
||||
.push(facet_streamer.term_ord());
|
||||
self.current_segment_collapse_mapping.push(collapsed_id);
|
||||
} else {
|
||||
self.current_segment_collapse_mapping.push(collapsed_id);
|
||||
}
|
||||
}
|
||||
break;
|
||||
}
|
||||
SkipResult::End | SkipResult::OverStep => {
|
||||
self.current_segment_collapse_mapping.push(0);
|
||||
if !facet_streamer.advance() {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
counts.resize(collapse_facet_ords.len(), 0);
|
||||
|
||||
Ok(FacetSegmentCollector {
|
||||
reader: facet_reader,
|
||||
facet_ords_buf: Vec::with_capacity(255),
|
||||
collapse_mapping,
|
||||
counts,
|
||||
collapse_facet_ords,
|
||||
})
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
fn finalize_segment(&mut self) {
|
||||
if self.ff_reader.is_some() {
|
||||
self.segment_counters.push(SegmentFacetCounter {
|
||||
facet_reader: self.ff_reader.take().unwrap().into_inner(),
|
||||
facet_ords: mem::replace(&mut self.current_collapse_facet_ords, Vec::new()),
|
||||
facet_counts: mem::replace(&mut self.current_segment_counts, Vec::new()),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, segments_facet_counts: Vec<FacetCounts>) -> Result<FacetCounts> {
|
||||
let mut facet_counts: BTreeMap<Facet, u64> = BTreeMap::new();
|
||||
for segment_facet_counts in segments_facet_counts {
|
||||
for (facet, count) in segment_facet_counts.facet_counts {
|
||||
*(facet_counts.entry(facet).or_insert(0)) += count;
|
||||
/// Returns the results of the collection.
|
||||
///
|
||||
/// This method does not just return the counters,
|
||||
/// it also translates the facet ordinals of the last segment.
|
||||
pub fn harvest(mut self) -> FacetCounts {
|
||||
self.finalize_segment();
|
||||
|
||||
let collapsed_facet_ords: Vec<&[u64]> = self
|
||||
.segment_counters
|
||||
.iter()
|
||||
.map(|segment_counter| &segment_counter.facet_ords[..])
|
||||
.collect();
|
||||
let collapsed_facet_counts: Vec<&[u64]> = self
|
||||
.segment_counters
|
||||
.iter()
|
||||
.map(|segment_counter| &segment_counter.facet_counts[..])
|
||||
.collect();
|
||||
|
||||
let facet_streams = self
|
||||
.segment_counters
|
||||
.iter()
|
||||
.map(|seg_counts| seg_counts.facet_reader.facet_dict().range().into_stream())
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
let mut facet_merger = TermMerger::new(facet_streams);
|
||||
let mut facet_counts = BTreeMap::new();
|
||||
|
||||
while facet_merger.advance() {
|
||||
let count = facet_merger
|
||||
.current_kvs()
|
||||
.iter()
|
||||
.map(|it| {
|
||||
let seg_ord = it.segment_ord;
|
||||
let term_ord = it.streamer.term_ord();
|
||||
collapsed_facet_ords[seg_ord]
|
||||
.binary_search(&term_ord)
|
||||
.map(|collapsed_term_id| {
|
||||
if collapsed_term_id == 0 {
|
||||
0
|
||||
} else {
|
||||
collapsed_facet_counts[seg_ord][collapsed_term_id]
|
||||
}
|
||||
}).unwrap_or(0)
|
||||
}).sum();
|
||||
if count > 0u64 {
|
||||
let bytes: Vec<u8> = facet_merger.key().to_owned();
|
||||
// may create an corrupted facet if the term dicitonary is corrupted
|
||||
let facet = unsafe { Facet::from_encoded(bytes) };
|
||||
facet_counts.insert(facet, count);
|
||||
}
|
||||
}
|
||||
Ok(FacetCounts { facet_counts })
|
||||
FacetCounts { facet_counts }
|
||||
}
|
||||
}
|
||||
|
||||
impl SegmentCollector for FacetSegmentCollector {
|
||||
type Fruit = FacetCounts;
|
||||
impl Collector for FacetCollector {
|
||||
fn set_segment(&mut self, _: SegmentLocalId, reader: &SegmentReader) -> Result<()> {
|
||||
self.finalize_segment();
|
||||
let facet_reader = reader.facet_reader(self.field)?;
|
||||
self.set_collapse_mapping(&facet_reader);
|
||||
self.current_segment_counts
|
||||
.resize(self.current_collapse_facet_ords.len(), 0);
|
||||
self.ff_reader = Some(UnsafeCell::new(facet_reader));
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn collect(&mut self, doc: DocId, _: Score) {
|
||||
self.reader.facet_ords(doc, &mut self.facet_ords_buf);
|
||||
let facet_reader: &mut FacetReader = unsafe {
|
||||
&mut *self
|
||||
.ff_reader
|
||||
.as_ref()
|
||||
.expect("collect() was called before set_segment. This should never happen.")
|
||||
.get()
|
||||
};
|
||||
facet_reader.facet_ords(doc, &mut self.facet_ords);
|
||||
let mut previous_collapsed_ord: usize = usize::MAX;
|
||||
for &facet_ord in &self.facet_ords_buf {
|
||||
let collapsed_ord = self.collapse_mapping[facet_ord as usize];
|
||||
self.counts[collapsed_ord] += if collapsed_ord == previous_collapsed_ord {
|
||||
for &facet_ord in &self.facet_ords {
|
||||
let collapsed_ord = self.current_segment_collapse_mapping[facet_ord as usize];
|
||||
self.current_segment_counts[collapsed_ord] += if collapsed_ord == previous_collapsed_ord
|
||||
{
|
||||
0
|
||||
} else {
|
||||
1
|
||||
@@ -357,23 +423,8 @@ impl SegmentCollector for FacetSegmentCollector {
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns the results of the collection.
|
||||
///
|
||||
/// This method does not just return the counters,
|
||||
/// it also translates the facet ordinals of the last segment.
|
||||
fn harvest(self) -> FacetCounts {
|
||||
let mut facet_counts = BTreeMap::new();
|
||||
let facet_dict = self.reader.facet_dict();
|
||||
for (collapsed_facet_ord, count) in self.counts.iter().cloned().enumerate() {
|
||||
if count == 0 {
|
||||
continue;
|
||||
}
|
||||
let mut facet = vec![];
|
||||
let facet_ord = self.collapse_facet_ords[collapsed_facet_ord];
|
||||
facet_dict.ord_to_term(facet_ord as u64, &mut facet);
|
||||
facet_counts.insert(unsafe { Facet::from_encoded(facet) }, count);
|
||||
}
|
||||
FacetCounts { facet_counts }
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
}
|
||||
|
||||
@@ -454,14 +505,14 @@ mod tests {
|
||||
use core::Index;
|
||||
use query::AllQuery;
|
||||
use rand::distributions::Uniform;
|
||||
use rand::prelude::SliceRandom;
|
||||
use rand::{thread_rng, Rng};
|
||||
use schema::{Document, Facet, Field, Schema};
|
||||
use schema::Field;
|
||||
use schema::{Document, Facet, SchemaBuilder};
|
||||
use std::iter;
|
||||
|
||||
#[test]
|
||||
fn test_facet_collector_drilldown() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let facet_field = schema_builder.add_facet_field("facet");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -476,8 +527,7 @@ mod tests {
|
||||
n /= 4;
|
||||
let leaf = n % 5;
|
||||
Facet::from(&format!("/top{}/mid{}/leaf{}", top, mid, leaf))
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
for i in 0..num_facets * 10 {
|
||||
let mut doc = Document::new();
|
||||
doc.add_facet(facet_field, facets[i % num_facets].clone());
|
||||
@@ -486,10 +536,12 @@ mod tests {
|
||||
index_writer.commit().unwrap();
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
|
||||
let mut facet_collector = FacetCollector::for_field(facet_field);
|
||||
facet_collector.add_facet(Facet::from("/top1"));
|
||||
let counts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
|
||||
let counts: FacetCounts = facet_collector.harvest();
|
||||
{
|
||||
let facets: Vec<(String, u64)> = counts
|
||||
.get("/top1")
|
||||
@@ -503,16 +555,18 @@ mod tests {
|
||||
("/top1/mid2", 50),
|
||||
("/top1/mid3", 50),
|
||||
]
|
||||
.iter()
|
||||
.map(|&(facet_str, count)| (String::from(facet_str), count))
|
||||
.collect::<Vec<_>>()
|
||||
.iter()
|
||||
.map(|&(facet_str, count)| (String::from(facet_str), count))
|
||||
.collect::<Vec<_>>()
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic(expected = "Tried to add a facet which is a descendant of \
|
||||
an already added facet.")]
|
||||
#[should_panic(
|
||||
expected = "Tried to add a facet which is a descendant of \
|
||||
an already added facet."
|
||||
)]
|
||||
fn test_misused_facet_collector() {
|
||||
let mut facet_collector = FacetCollector::for_field(Field(0));
|
||||
facet_collector.add_facet(Facet::from("/country"));
|
||||
@@ -521,7 +575,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_doc_unsorted_multifacet() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let facet_field = schema_builder.add_facet_field("facets");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -538,7 +592,8 @@ mod tests {
|
||||
assert_eq!(searcher.num_docs(), 1);
|
||||
let mut facet_collector = FacetCollector::for_field(facet_field);
|
||||
facet_collector.add_facet("/subjects");
|
||||
let counts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
let counts = facet_collector.harvest();
|
||||
let facets: Vec<(&Facet, u64)> = counts.get("/subjects").collect();
|
||||
assert_eq!(facets[0].1, 1);
|
||||
}
|
||||
@@ -552,7 +607,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_facet_collector_topk() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let facet_field = schema_builder.add_facet_field("facet");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -564,16 +619,14 @@ mod tests {
|
||||
let facet = Facet::from(&format!("/facet/{}", c));
|
||||
let doc = doc!(facet_field => facet);
|
||||
iter::repeat(doc).take(count)
|
||||
})
|
||||
.map(|mut doc| {
|
||||
}).map(|mut doc| {
|
||||
doc.add_facet(
|
||||
facet_field,
|
||||
&format!("/facet/{}", thread_rng().sample(&uniform)),
|
||||
);
|
||||
doc
|
||||
})
|
||||
.collect();
|
||||
docs[..].shuffle(&mut thread_rng());
|
||||
}).collect();
|
||||
thread_rng().shuffle(&mut docs[..]);
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
for doc in docs {
|
||||
@@ -586,8 +639,9 @@ mod tests {
|
||||
|
||||
let mut facet_collector = FacetCollector::for_field(facet_field);
|
||||
facet_collector.add_facet("/facet");
|
||||
let counts: FacetCounts = searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
|
||||
let counts: FacetCounts = facet_collector.harvest();
|
||||
{
|
||||
let facets: Vec<(&Facet, u64)> = counts.top_k("/facet", 3);
|
||||
assert_eq!(
|
||||
@@ -610,13 +664,13 @@ mod bench {
|
||||
use query::AllQuery;
|
||||
use rand::{thread_rng, Rng};
|
||||
use schema::Facet;
|
||||
use schema::Schema;
|
||||
use schema::SchemaBuilder;
|
||||
use test::Bencher;
|
||||
use Index;
|
||||
|
||||
#[bench]
|
||||
fn bench_facet_collector(b: &mut Bencher) {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let facet_field = schema_builder.add_facet_field("facet");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -640,8 +694,8 @@ mod bench {
|
||||
|
||||
b.iter(|| {
|
||||
let searcher = index.searcher();
|
||||
let facet_collector = FacetCollector::for_field(facet_field);
|
||||
searcher.search(&AllQuery, &facet_collector).unwrap();
|
||||
let mut facet_collector = FacetCollector::for_field(facet_field);
|
||||
searcher.search(&AllQuery, &mut facet_collector).unwrap();
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -79,7 +79,7 @@ mod tests {
|
||||
// make sure we have facet counters correctly filled
|
||||
fn test_facet_collector_results() {
|
||||
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::new();
|
||||
let num_field_i64 = schema_builder.add_i64_field("num_i64", FAST);
|
||||
let num_field_u64 = schema_builder.add_u64_field("num_u64", FAST);
|
||||
let text_field = schema_builder.add_text_field("text", STRING);
|
||||
|
||||
@@ -1,91 +1,7 @@
|
||||
/*!
|
||||
|
||||
# Collectors
|
||||
|
||||
Collectors define the information you want to extract from the documents matching the queries.
|
||||
In tantivy jargon, we call this information your search "fruit".
|
||||
|
||||
Your fruit could for instance be :
|
||||
- [the count of matching documents](./struct.Count.html)
|
||||
- [the top 10 documents, by relevancy or by a fast field](./struct.TopDocs.html)
|
||||
- [facet counts](./struct.FacetCollector.html)
|
||||
|
||||
At one point in your code, you will trigger the actual search operation by calling
|
||||
[the `search(...)` method of your `Searcher` object](../struct.Searcher.html#method.search).
|
||||
This call will look like this.
|
||||
|
||||
```verbatim
|
||||
let fruit = searcher.search(&query, &collector)?;
|
||||
```
|
||||
|
||||
Here the type of fruit is actually determined as an associated type of the collector (`Collector::Fruit`).
|
||||
|
||||
|
||||
# Combining several collectors
|
||||
|
||||
A rich search experience often requires to run several collectors on your search query.
|
||||
For instance,
|
||||
- selecting the top-K products matching your query
|
||||
- counting the matching documents
|
||||
- computing several facets
|
||||
- computing statistics about the matching product prices
|
||||
|
||||
A simple and efficient way to do that is to pass your collectors as one tuple.
|
||||
The resulting `Fruit` will then be a typed tuple with each collector's original fruits
|
||||
in their respective position.
|
||||
|
||||
```rust
|
||||
# extern crate tantivy;
|
||||
# use tantivy::schema::*;
|
||||
# use tantivy::*;
|
||||
# use tantivy::query::*;
|
||||
use tantivy::collector::{Count, TopDocs};
|
||||
#
|
||||
# fn main() -> tantivy::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(3_000_000)?;
|
||||
# index_writer.add_document(doc!(
|
||||
# title => "The Name of the Wind",
|
||||
# ));
|
||||
# index_writer.add_document(doc!(
|
||||
# title => "The Diary of Muadib",
|
||||
# ));
|
||||
# index_writer.commit().unwrap();
|
||||
# index.load_searchers()?;
|
||||
# let searcher = index.searcher();
|
||||
# let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
# let query = query_parser.parse_query("diary")?;
|
||||
let (doc_count, top_docs): (usize, Vec<(Score, DocAddress)>) =
|
||||
searcher.search(&query, &(Count, TopDocs::with_limit(2)))?;
|
||||
# Ok(())
|
||||
# }
|
||||
```
|
||||
|
||||
The `Collector` trait is implemented for up to 4 collectors.
|
||||
If you have more than 4 collectors, you can either group them into
|
||||
tuples of tuples `(a,(b,(c,d)))`, or rely on `MultiCollector`'s.
|
||||
|
||||
# Combining several collectors dynamically
|
||||
|
||||
Combining collectors into a tuple is a zero-cost abstraction: everything
|
||||
happens as if you had manually implemented a single collector
|
||||
combining all of our features.
|
||||
|
||||
Unfortunately it requires you to know at compile time your collector types.
|
||||
If on the other hand, the collectors depend on some query parameter,
|
||||
you can rely on `MultiCollector`'s.
|
||||
|
||||
|
||||
# Implementing your own collectors.
|
||||
|
||||
See the `custom_collector` example.
|
||||
|
||||
Defines how the documents matching a search query should be processed.
|
||||
*/
|
||||
|
||||
use downcast;
|
||||
use DocId;
|
||||
use Result;
|
||||
use Score;
|
||||
@@ -93,7 +9,7 @@ use SegmentLocalId;
|
||||
use SegmentReader;
|
||||
|
||||
mod count_collector;
|
||||
pub use self::count_collector::Count;
|
||||
pub use self::count_collector::CountCollector;
|
||||
|
||||
mod multi_collector;
|
||||
pub use self::multi_collector::MultiCollector;
|
||||
@@ -101,274 +17,237 @@ pub use self::multi_collector::MultiCollector;
|
||||
mod top_collector;
|
||||
|
||||
mod top_score_collector;
|
||||
pub use self::top_score_collector::TopDocs;
|
||||
pub use self::top_score_collector::TopScoreCollector;
|
||||
#[deprecated]
|
||||
pub use self::top_score_collector::TopScoreCollector as TopCollector;
|
||||
|
||||
mod top_field_collector;
|
||||
pub use self::top_field_collector::TopDocsByField;
|
||||
pub use self::top_field_collector::TopFieldCollector;
|
||||
|
||||
mod facet_collector;
|
||||
pub use self::facet_collector::FacetCollector;
|
||||
|
||||
/// `Fruit` is the type for the result of our collection.
|
||||
/// e.g. `usize` for the `Count` collector.
|
||||
pub trait Fruit: Send + downcast::Any {}
|
||||
|
||||
impl<T> Fruit for T where T: Send + downcast::Any {}
|
||||
mod chained_collector;
|
||||
pub use self::chained_collector::{chain, ChainedCollector};
|
||||
|
||||
/// Collectors are in charge of collecting and retaining relevant
|
||||
/// information from the document found and scored by the query.
|
||||
///
|
||||
///
|
||||
/// For instance,
|
||||
///
|
||||
/// - keeping track of the top 10 best documents
|
||||
/// - computing a breakdown over a fast field
|
||||
/// - computing the number of documents matching the query
|
||||
///
|
||||
/// Our search index is in fact a collection of segments, so
|
||||
/// a `Collector` trait is actually more of a factory to instance
|
||||
/// `SegmentCollector`s for each segments.
|
||||
/// Queries are in charge of pushing the `DocSet` to the collector.
|
||||
///
|
||||
/// The collection logic itself is in the `SegmentCollector`.
|
||||
/// As they work on multiple segments, they first inform
|
||||
/// the collector of a change in a segment and then
|
||||
/// call the `collect` method to push the document to the collector.
|
||||
///
|
||||
/// Temporally, our collector will receive calls
|
||||
/// - `.set_segment(0, segment_reader_0)`
|
||||
/// - `.collect(doc0_of_segment_0)`
|
||||
/// - `.collect(...)`
|
||||
/// - `.collect(last_doc_of_segment_0)`
|
||||
/// - `.set_segment(1, segment_reader_1)`
|
||||
/// - `.collect(doc0_of_segment_1)`
|
||||
/// - `.collect(...)`
|
||||
/// - `.collect(last_doc_of_segment_1)`
|
||||
/// - `...`
|
||||
/// - `.collect(last_doc_of_last_segment)`
|
||||
///
|
||||
/// Segments are not guaranteed to be visited in any specific order.
|
||||
pub trait Collector: Sync {
|
||||
/// `Fruit` is the type for the result of our collection.
|
||||
/// e.g. `usize` for the `Count` collector.
|
||||
type Fruit: Fruit;
|
||||
|
||||
type SegmentFruit: Fruit;
|
||||
|
||||
/// Type of the `SegmentCollector` associated to this collector.
|
||||
type Child: SegmentCollector<Fruit = Self::SegmentFruit>;
|
||||
|
||||
pub trait Collector {
|
||||
/// `set_segment` is called before beginning to enumerate
|
||||
/// on this segment.
|
||||
fn for_segment(
|
||||
&self,
|
||||
fn set_segment(
|
||||
&mut self,
|
||||
segment_local_id: SegmentLocalId,
|
||||
segment: &SegmentReader,
|
||||
) -> Result<Self::Child>;
|
||||
|
||||
/// Returns true iff the collector requires to compute scores for documents.
|
||||
fn requires_scoring(&self) -> bool;
|
||||
|
||||
/// Combines the fruit associated to the collection of each segments
|
||||
/// into one fruit.
|
||||
fn merge_fruits(&self, segment_fruits: Vec<Self::SegmentFruit>) -> Result<Self::Fruit>;
|
||||
}
|
||||
|
||||
/// The `SegmentCollector` is the trait in charge of defining the
|
||||
/// collect operation at the scale of the segment.
|
||||
///
|
||||
/// `.collect(doc, score)` will be called for every documents
|
||||
/// matching the query.
|
||||
pub trait SegmentCollector: 'static {
|
||||
/// `Fruit` is the type for the result of our collection.
|
||||
/// e.g. `usize` for the `Count` collector.
|
||||
type Fruit: Fruit;
|
||||
|
||||
) -> Result<()>;
|
||||
/// The query pushes the scored document to the collector via this method.
|
||||
fn collect(&mut self, doc: DocId, score: Score);
|
||||
|
||||
/// Extract the fruit of the collection from the `SegmentCollector`.
|
||||
fn harvest(self) -> Self::Fruit;
|
||||
/// Returns true iff the collector requires to compute scores for documents.
|
||||
fn requires_scoring(&self) -> bool;
|
||||
}
|
||||
|
||||
// -----------------------------------------------
|
||||
// Tuple implementations.
|
||||
|
||||
impl<Left, Right> Collector for (Left, Right)
|
||||
where
|
||||
Left: Collector,
|
||||
Right: Collector,
|
||||
{
|
||||
type Fruit = (Left::Fruit, Right::Fruit);
|
||||
|
||||
type SegmentFruit = (Left::SegmentFruit, Right::SegmentFruit);
|
||||
|
||||
type Child = (Left::Child, Right::Child);
|
||||
|
||||
fn for_segment(&self, segment_local_id: u32, segment: &SegmentReader) -> Result<Self::Child> {
|
||||
let left = self.0.for_segment(segment_local_id, segment)?;
|
||||
let right = self.1.for_segment(segment_local_id, segment)?;
|
||||
Ok((left, right))
|
||||
impl<'a, C: Collector> Collector for &'a mut C {
|
||||
fn set_segment(
|
||||
&mut self,
|
||||
segment_local_id: SegmentLocalId,
|
||||
segment: &SegmentReader,
|
||||
) -> Result<()> {
|
||||
(*self).set_segment(segment_local_id, segment)
|
||||
}
|
||||
/// The query pushes the scored document to the collector via this method.
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
C::collect(self, doc, score)
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.0.requires_scoring() || self.1.requires_scoring()
|
||||
C::requires_scoring(self)
|
||||
}
|
||||
|
||||
fn merge_fruits(
|
||||
&self,
|
||||
children: Vec<(Left::SegmentFruit, Right::SegmentFruit)>,
|
||||
) -> Result<(Left::Fruit, Right::Fruit)> {
|
||||
let mut left_fruits = vec![];
|
||||
let mut right_fruits = vec![];
|
||||
for (left_fruit, right_fruit) in children {
|
||||
left_fruits.push(left_fruit);
|
||||
right_fruits.push(right_fruit);
|
||||
}
|
||||
Ok((
|
||||
self.0.merge_fruits(left_fruits)?,
|
||||
self.1.merge_fruits(right_fruits)?,
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
impl<Left, Right> SegmentCollector for (Left, Right)
|
||||
where
|
||||
Left: SegmentCollector,
|
||||
Right: SegmentCollector,
|
||||
{
|
||||
type Fruit = (Left::Fruit, Right::Fruit);
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.0.collect(doc, score);
|
||||
self.1.collect(doc, score);
|
||||
}
|
||||
|
||||
fn harvest(self) -> <Self as SegmentCollector>::Fruit {
|
||||
(self.0.harvest(), self.1.harvest())
|
||||
}
|
||||
}
|
||||
|
||||
// 3-Tuple
|
||||
|
||||
impl<One, Two, Three> Collector for (One, Two, Three)
|
||||
where
|
||||
One: Collector,
|
||||
Two: Collector,
|
||||
Three: Collector,
|
||||
{
|
||||
type Fruit = (One::Fruit, Two::Fruit, Three::Fruit);
|
||||
type SegmentFruit = (One::SegmentFruit, Two::SegmentFruit, Three::SegmentFruit);
|
||||
type Child = (One::Child, Two::Child, Three::Child);
|
||||
|
||||
fn for_segment(&self, segment_local_id: u32, segment: &SegmentReader) -> Result<Self::Child> {
|
||||
let one = self.0.for_segment(segment_local_id, segment)?;
|
||||
let two = self.1.for_segment(segment_local_id, segment)?;
|
||||
let three = self.2.for_segment(segment_local_id, segment)?;
|
||||
Ok((one, two, three))
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.0.requires_scoring() || self.1.requires_scoring() || self.2.requires_scoring()
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, children: Vec<Self::SegmentFruit>) -> Result<Self::Fruit> {
|
||||
let mut one_fruits = vec![];
|
||||
let mut two_fruits = vec![];
|
||||
let mut three_fruits = vec![];
|
||||
for (one_fruit, two_fruit, three_fruit) in children {
|
||||
one_fruits.push(one_fruit);
|
||||
two_fruits.push(two_fruit);
|
||||
three_fruits.push(three_fruit);
|
||||
}
|
||||
Ok((
|
||||
self.0.merge_fruits(one_fruits)?,
|
||||
self.1.merge_fruits(two_fruits)?,
|
||||
self.2.merge_fruits(three_fruits)?,
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
impl<One, Two, Three> SegmentCollector for (One, Two, Three)
|
||||
where
|
||||
One: SegmentCollector,
|
||||
Two: SegmentCollector,
|
||||
Three: SegmentCollector,
|
||||
{
|
||||
type Fruit = (One::Fruit, Two::Fruit, Three::Fruit);
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.0.collect(doc, score);
|
||||
self.1.collect(doc, score);
|
||||
self.2.collect(doc, score);
|
||||
}
|
||||
|
||||
fn harvest(self) -> <Self as SegmentCollector>::Fruit {
|
||||
(self.0.harvest(), self.1.harvest(), self.2.harvest())
|
||||
}
|
||||
}
|
||||
|
||||
// 4-Tuple
|
||||
|
||||
impl<One, Two, Three, Four> Collector for (One, Two, Three, Four)
|
||||
where
|
||||
One: Collector,
|
||||
Two: Collector,
|
||||
Three: Collector,
|
||||
Four: Collector,
|
||||
{
|
||||
type Fruit = (One::Fruit, Two::Fruit, Three::Fruit, Four::Fruit);
|
||||
type SegmentFruit = (One::SegmentFruit, Two::SegmentFruit, Three::SegmentFruit, Four::SegmentFruit);
|
||||
type Child = (One::Child, Two::Child, Three::Child, Four::Child);
|
||||
|
||||
fn for_segment(&self, segment_local_id: u32, segment: &SegmentReader) -> Result<Self::Child> {
|
||||
let one = self.0.for_segment(segment_local_id, segment)?;
|
||||
let two = self.1.for_segment(segment_local_id, segment)?;
|
||||
let three = self.2.for_segment(segment_local_id, segment)?;
|
||||
let four = self.3.for_segment(segment_local_id, segment)?;
|
||||
Ok((one, two, three, four))
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.0.requires_scoring()
|
||||
|| self.1.requires_scoring()
|
||||
|| self.2.requires_scoring()
|
||||
|| self.3.requires_scoring()
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, children: Vec<Self::SegmentFruit>) -> Result<Self::Fruit> {
|
||||
let mut one_fruits = vec![];
|
||||
let mut two_fruits = vec![];
|
||||
let mut three_fruits = vec![];
|
||||
let mut four_fruits = vec![];
|
||||
for (one_fruit, two_fruit, three_fruit, four_fruit) in children {
|
||||
one_fruits.push(one_fruit);
|
||||
two_fruits.push(two_fruit);
|
||||
three_fruits.push(three_fruit);
|
||||
four_fruits.push(four_fruit);
|
||||
}
|
||||
Ok((
|
||||
self.0.merge_fruits(one_fruits)?,
|
||||
self.1.merge_fruits(two_fruits)?,
|
||||
self.2.merge_fruits(three_fruits)?,
|
||||
self.3.merge_fruits(four_fruits)?,
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
impl<One, Two, Three, Four> SegmentCollector for (One, Two, Three, Four)
|
||||
where
|
||||
One: SegmentCollector,
|
||||
Two: SegmentCollector,
|
||||
Three: SegmentCollector,
|
||||
Four: SegmentCollector,
|
||||
{
|
||||
type Fruit = (One::Fruit, Two::Fruit, Three::Fruit, Four::Fruit);
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.0.collect(doc, score);
|
||||
self.1.collect(doc, score);
|
||||
self.2.collect(doc, score);
|
||||
self.3.collect(doc, score);
|
||||
}
|
||||
|
||||
fn harvest(self) -> <Self as SegmentCollector>::Fruit {
|
||||
(
|
||||
self.0.harvest(),
|
||||
self.1.harvest(),
|
||||
self.2.harvest(),
|
||||
self.3.harvest(),
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
#[allow(missing_docs)]
|
||||
mod downcast_impl {
|
||||
downcast!(super::Fruit);
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
pub mod tests;
|
||||
pub mod tests {
|
||||
|
||||
use super::*;
|
||||
use core::SegmentReader;
|
||||
use fastfield::BytesFastFieldReader;
|
||||
use fastfield::FastFieldReader;
|
||||
use schema::Field;
|
||||
use DocId;
|
||||
use Score;
|
||||
use SegmentLocalId;
|
||||
|
||||
/// Stores all of the doc ids.
|
||||
/// This collector is only used for tests.
|
||||
/// It is unusable in practise, as it does not store
|
||||
/// the segment ordinals
|
||||
pub struct TestCollector {
|
||||
offset: DocId,
|
||||
segment_max_doc: DocId,
|
||||
docs: Vec<DocId>,
|
||||
scores: Vec<Score>,
|
||||
}
|
||||
|
||||
impl TestCollector {
|
||||
/// Return the exhalist of documents.
|
||||
pub fn docs(self) -> Vec<DocId> {
|
||||
self.docs
|
||||
}
|
||||
|
||||
pub fn scores(self) -> Vec<Score> {
|
||||
self.scores
|
||||
}
|
||||
}
|
||||
|
||||
impl Default for TestCollector {
|
||||
fn default() -> TestCollector {
|
||||
TestCollector {
|
||||
offset: 0,
|
||||
segment_max_doc: 0,
|
||||
docs: Vec::new(),
|
||||
scores: Vec::new(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for TestCollector {
|
||||
fn set_segment(&mut self, _: SegmentLocalId, reader: &SegmentReader) -> Result<()> {
|
||||
self.offset += self.segment_max_doc;
|
||||
self.segment_max_doc = reader.max_doc();
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.docs.push(doc + self.offset);
|
||||
self.scores.push(score);
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
true
|
||||
}
|
||||
}
|
||||
|
||||
/// Collects in order all of the fast fields for all of the
|
||||
/// doc in the `DocSet`
|
||||
///
|
||||
/// This collector is mainly useful for tests.
|
||||
pub struct FastFieldTestCollector {
|
||||
vals: Vec<u64>,
|
||||
field: Field,
|
||||
ff_reader: Option<FastFieldReader<u64>>,
|
||||
}
|
||||
|
||||
impl FastFieldTestCollector {
|
||||
pub fn for_field(field: Field) -> FastFieldTestCollector {
|
||||
FastFieldTestCollector {
|
||||
vals: Vec::new(),
|
||||
field,
|
||||
ff_reader: None,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn vals(self) -> Vec<u64> {
|
||||
self.vals
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for FastFieldTestCollector {
|
||||
fn set_segment(&mut self, _: SegmentLocalId, reader: &SegmentReader) -> Result<()> {
|
||||
self.ff_reader = Some(reader.fast_field_reader(self.field)?);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn collect(&mut self, doc: DocId, _score: Score) {
|
||||
let val = self.ff_reader.as_ref().unwrap().get(doc);
|
||||
self.vals.push(val);
|
||||
}
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
}
|
||||
|
||||
/// Collects in order all of the fast field bytes for all of the
|
||||
/// docs in the `DocSet`
|
||||
///
|
||||
/// This collector is mainly useful for tests.
|
||||
pub struct BytesFastFieldTestCollector {
|
||||
vals: Vec<u8>,
|
||||
field: Field,
|
||||
ff_reader: Option<BytesFastFieldReader>,
|
||||
}
|
||||
|
||||
impl BytesFastFieldTestCollector {
|
||||
pub fn for_field(field: Field) -> BytesFastFieldTestCollector {
|
||||
BytesFastFieldTestCollector {
|
||||
vals: Vec::new(),
|
||||
field,
|
||||
ff_reader: None,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn vals(self) -> Vec<u8> {
|
||||
self.vals
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for BytesFastFieldTestCollector {
|
||||
fn set_segment(&mut self, _segment_local_id: u32, segment: &SegmentReader) -> Result<()> {
|
||||
self.ff_reader = Some(segment.bytes_fast_field_reader(self.field)?);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: f32) {
|
||||
let val = self.ff_reader.as_ref().unwrap().get_val(doc);
|
||||
self.vals.extend(val);
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(all(test, feature = "unstable"))]
|
||||
mod bench {
|
||||
use collector::{Collector, CountCollector};
|
||||
use test::Bencher;
|
||||
|
||||
#[bench]
|
||||
fn build_collector(b: &mut Bencher) {
|
||||
b.iter(|| {
|
||||
let mut count_collector = CountCollector::default();
|
||||
let docs: Vec<u32> = (0..1_000_000).collect();
|
||||
for doc in docs {
|
||||
count_collector.collect(doc, 1f32);
|
||||
}
|
||||
count_collector.count()
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,98 +1,9 @@
|
||||
use super::Collector;
|
||||
use super::SegmentCollector;
|
||||
use collector::Fruit;
|
||||
use downcast::Downcast;
|
||||
use std::marker::PhantomData;
|
||||
use DocId;
|
||||
use Result;
|
||||
use Score;
|
||||
use SegmentLocalId;
|
||||
use SegmentReader;
|
||||
use TantivyError;
|
||||
|
||||
pub struct MultiFruit {
|
||||
sub_fruits: Vec<Option<Box<Fruit>>>,
|
||||
}
|
||||
|
||||
pub struct CollectorWrapper<TCollector: Collector>(TCollector);
|
||||
|
||||
impl<TCollector: Collector> Collector for CollectorWrapper<TCollector> {
|
||||
type Fruit = Box<Fruit>;
|
||||
type SegmentFruit = Box<Fruit>;
|
||||
type Child = Box<BoxableSegmentCollector>;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
segment_local_id: u32,
|
||||
reader: &SegmentReader,
|
||||
) -> Result<Box<BoxableSegmentCollector>> {
|
||||
let child = self.0.for_segment(segment_local_id, reader)?;
|
||||
Ok(Box::new(SegmentCollectorWrapper(child)))
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.0.requires_scoring()
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, children: Vec<<Self as Collector>::Fruit>) -> Result<Box<Fruit>> {
|
||||
let typed_fruit: Vec<TCollector::SegmentFruit> = children
|
||||
.into_iter()
|
||||
.map(|untyped_fruit| {
|
||||
Downcast::<TCollector::SegmentFruit>::downcast(untyped_fruit)
|
||||
.map(|boxed_but_typed| *boxed_but_typed)
|
||||
.map_err(|e| {
|
||||
let err_msg = format!("Failed to cast child collector fruit. {:?}", e);
|
||||
TantivyError::InvalidArgument(err_msg)
|
||||
})
|
||||
})
|
||||
.collect::<Result<_>>()?;
|
||||
let merged_fruit = self.0.merge_fruits(typed_fruit)?;
|
||||
Ok(Box::new(merged_fruit))
|
||||
}
|
||||
}
|
||||
|
||||
impl SegmentCollector for Box<BoxableSegmentCollector> {
|
||||
type Fruit = Box<Fruit>;
|
||||
|
||||
fn collect(&mut self, doc: u32, score: f32) {
|
||||
self.as_mut().collect(doc, score);
|
||||
}
|
||||
|
||||
fn harvest(self) -> Box<Fruit> {
|
||||
BoxableSegmentCollector::harvest_from_box(self)
|
||||
}
|
||||
}
|
||||
|
||||
pub trait BoxableSegmentCollector {
|
||||
fn collect(&mut self, doc: u32, score: f32);
|
||||
fn harvest_from_box(self: Box<Self>) -> Box<Fruit>;
|
||||
}
|
||||
|
||||
pub struct SegmentCollectorWrapper<TSegmentCollector: SegmentCollector>(TSegmentCollector);
|
||||
|
||||
impl<TSegmentCollector: SegmentCollector> BoxableSegmentCollector
|
||||
for SegmentCollectorWrapper<TSegmentCollector>
|
||||
{
|
||||
fn collect(&mut self, doc: u32, score: f32) {
|
||||
self.0.collect(doc, score);
|
||||
}
|
||||
|
||||
fn harvest_from_box(self: Box<Self>) -> Box<Fruit> {
|
||||
Box::new(self.0.harvest())
|
||||
}
|
||||
}
|
||||
|
||||
pub struct FruitHandle<TFruit: Fruit> {
|
||||
pos: usize,
|
||||
_phantom: PhantomData<TFruit>,
|
||||
}
|
||||
|
||||
impl<TFruit: Fruit> FruitHandle<TFruit> {
|
||||
pub fn extract(self, fruits: &mut MultiFruit) -> TFruit {
|
||||
let boxed_fruit = fruits.sub_fruits[self.pos].take().expect("");
|
||||
*Downcast::<TFruit>::downcast(boxed_fruit).expect("Failed")
|
||||
}
|
||||
}
|
||||
|
||||
/// Multicollector makes it possible to collect on more than one collector.
|
||||
/// It should only be used for use cases where the Collector types is unknown
|
||||
@@ -102,14 +13,14 @@ impl<TFruit: Fruit> FruitHandle<TFruit> {
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{Schema, TEXT};
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result};
|
||||
/// use tantivy::collector::{Count, TopDocs, MultiCollector};
|
||||
/// use tantivy::collector::{CountCollector, TopCollector, MultiCollector};
|
||||
/// use tantivy::query::QueryParser;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
@@ -133,117 +44,55 @@ impl<TFruit: Fruit> FruitHandle<TFruit> {
|
||||
/// index.load_searchers()?;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// let mut collectors = MultiCollector::new();
|
||||
/// let top_docs_handle = collectors.add_collector(TopDocs::with_limit(2));
|
||||
/// let count_handle = collectors.add_collector(Count);
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// let mut multi_fruit = searcher.search(&query, &collectors)?;
|
||||
///
|
||||
/// let count = count_handle.extract(&mut multi_fruit);
|
||||
/// let top_docs = top_docs_handle.extract(&mut multi_fruit);
|
||||
///
|
||||
/// # assert_eq!(count, 2);
|
||||
/// # assert_eq!(top_docs.len(), 2);
|
||||
/// {
|
||||
/// let mut top_collector = TopCollector::with_limit(2);
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// {
|
||||
/// let mut collectors =
|
||||
/// MultiCollector::from(vec![&mut top_collector, &mut count_collector]);
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// searcher.search(&*query, &mut collectors).unwrap();
|
||||
/// }
|
||||
/// assert_eq!(count_collector.count(), 2);
|
||||
/// assert!(top_collector.at_capacity());
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
/// ```
|
||||
#[allow(clippy::type_complexity)]
|
||||
#[derive(Default)]
|
||||
pub struct MultiCollector<'a> {
|
||||
collector_wrappers:
|
||||
Vec<Box<Collector<Child = Box<BoxableSegmentCollector>, Fruit = Box<Fruit>, SegmentFruit = Box<Fruit>> + 'a>>,
|
||||
collectors: Vec<&'a mut Collector>,
|
||||
}
|
||||
|
||||
impl<'a> MultiCollector<'a> {
|
||||
/// Create a new `MultiCollector`
|
||||
pub fn new() -> Self {
|
||||
Default::default()
|
||||
}
|
||||
|
||||
/// Add a new collector to our `MultiCollector`.
|
||||
pub fn add_collector<'b: 'a, TCollector: Collector + 'b>(
|
||||
&mut self,
|
||||
collector: TCollector,
|
||||
) -> FruitHandle<TCollector::Fruit> {
|
||||
let pos = self.collector_wrappers.len();
|
||||
self.collector_wrappers
|
||||
.push(Box::new(CollectorWrapper(collector)));
|
||||
FruitHandle {
|
||||
pos,
|
||||
_phantom: PhantomData,
|
||||
}
|
||||
/// Constructor
|
||||
pub fn from(collectors: Vec<&'a mut Collector>) -> MultiCollector {
|
||||
MultiCollector { collectors }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Collector for MultiCollector<'a> {
|
||||
|
||||
type Fruit = MultiFruit;
|
||||
type SegmentFruit = MultiFruit;
|
||||
type Child = MultiCollectorChild;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
fn set_segment(
|
||||
&mut self,
|
||||
segment_local_id: SegmentLocalId,
|
||||
segment: &SegmentReader,
|
||||
) -> Result<MultiCollectorChild> {
|
||||
let children = self
|
||||
.collector_wrappers
|
||||
.iter()
|
||||
.map(|collector_wrapper| collector_wrapper.for_segment(segment_local_id, segment))
|
||||
.collect::<Result<Vec<_>>>()?;
|
||||
Ok(MultiCollectorChild { children })
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.collector_wrappers.iter().any(|c| c.requires_scoring())
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, segments_multifruits: Vec<MultiFruit>) -> Result<MultiFruit> {
|
||||
let mut segment_fruits_list: Vec<Vec<Box<Fruit>>> = (0..self.collector_wrappers.len())
|
||||
.map(|_| Vec::with_capacity(segments_multifruits.len()))
|
||||
.collect::<Vec<_>>();
|
||||
for segment_multifruit in segments_multifruits {
|
||||
for (idx, segment_fruit_opt) in segment_multifruit.sub_fruits.into_iter().enumerate() {
|
||||
if let Some(segment_fruit) = segment_fruit_opt {
|
||||
segment_fruits_list[idx].push(segment_fruit);
|
||||
}
|
||||
}
|
||||
) -> Result<()> {
|
||||
for collector in &mut self.collectors {
|
||||
collector.set_segment(segment_local_id, segment)?;
|
||||
}
|
||||
let sub_fruits = self
|
||||
.collector_wrappers
|
||||
.iter()
|
||||
.zip(segment_fruits_list)
|
||||
.map(|(child_collector, segment_fruits)| {
|
||||
Ok(Some(child_collector.merge_fruits(segment_fruits)?))
|
||||
})
|
||||
.collect::<Result<_>>()?;
|
||||
Ok(MultiFruit { sub_fruits })
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
pub struct MultiCollectorChild {
|
||||
children: Vec<Box<BoxableSegmentCollector>>,
|
||||
}
|
||||
|
||||
impl SegmentCollector for MultiCollectorChild {
|
||||
type Fruit = MultiFruit;
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
for child in &mut self.children {
|
||||
child.collect(doc, score);
|
||||
for collector in &mut self.collectors {
|
||||
collector.collect(doc, score);
|
||||
}
|
||||
}
|
||||
|
||||
fn harvest(self) -> MultiFruit {
|
||||
MultiFruit {
|
||||
sub_fruits: self
|
||||
.children
|
||||
.into_iter()
|
||||
.map(|child| Some(child.harvest()))
|
||||
.collect(),
|
||||
}
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.collectors
|
||||
.iter()
|
||||
.any(|collector| collector.requires_scoring())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -251,42 +100,20 @@ impl SegmentCollector for MultiCollectorChild {
|
||||
mod tests {
|
||||
|
||||
use super::*;
|
||||
use collector::{Count, TopDocs};
|
||||
use query::TermQuery;
|
||||
use schema::IndexRecordOption;
|
||||
use schema::{Schema, TEXT};
|
||||
use Index;
|
||||
use Term;
|
||||
use collector::{Collector, CountCollector, TopScoreCollector};
|
||||
|
||||
#[test]
|
||||
fn test_multi_collector() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut top_collector = TopScoreCollector::with_limit(2);
|
||||
let mut count_collector = CountCollector::default();
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).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"));
|
||||
index_writer.commit().unwrap();
|
||||
index_writer.add_document(doc!(text=>""));
|
||||
index_writer.add_document(doc!(text=>"abc abc abc abc"));
|
||||
index_writer.add_document(doc!(text=>"abc"));
|
||||
index_writer.commit().unwrap();
|
||||
let mut collectors =
|
||||
MultiCollector::from(vec![&mut top_collector, &mut count_collector]);
|
||||
collectors.collect(1, 0.2);
|
||||
collectors.collect(2, 0.1);
|
||||
collectors.collect(3, 0.5);
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let term = Term::from_field_text(text, "abc");
|
||||
let query = TermQuery::new(term, IndexRecordOption::Basic);
|
||||
|
||||
let mut collectors = MultiCollector::new();
|
||||
let topdocs_handler = collectors.add_collector(TopDocs::with_limit(2));
|
||||
let count_handler = collectors.add_collector(Count);
|
||||
let mut multifruits = searcher.search(&query, &mut collectors).unwrap();
|
||||
|
||||
assert_eq!(count_handler.extract(&mut multifruits), 5);
|
||||
assert_eq!(topdocs_handler.extract(&mut multifruits).len(), 2);
|
||||
assert_eq!(count_collector.count(), 3);
|
||||
assert!(top_collector.at_capacity());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,205 +0,0 @@
|
||||
use super::*;
|
||||
use core::SegmentReader;
|
||||
use fastfield::BytesFastFieldReader;
|
||||
use fastfield::FastFieldReader;
|
||||
use schema::Field;
|
||||
use DocAddress;
|
||||
use DocId;
|
||||
use Score;
|
||||
use SegmentLocalId;
|
||||
|
||||
/// Stores all of the doc ids.
|
||||
/// This collector is only used for tests.
|
||||
/// It is unusable in pr
|
||||
///
|
||||
/// actise, as it does not store
|
||||
/// the segment ordinals
|
||||
pub struct TestCollector;
|
||||
|
||||
pub struct TestSegmentCollector {
|
||||
segment_id: SegmentLocalId,
|
||||
fruit: TestFruit,
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct TestFruit {
|
||||
docs: Vec<DocAddress>,
|
||||
scores: Vec<Score>,
|
||||
}
|
||||
|
||||
impl TestFruit {
|
||||
/// Return the list of matching documents exhaustively.
|
||||
pub fn docs(&self) -> &[DocAddress] {
|
||||
&self.docs[..]
|
||||
}
|
||||
|
||||
pub fn scores(&self) -> &[Score] {
|
||||
&self.scores[..]
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for TestCollector {
|
||||
type Fruit = TestFruit;
|
||||
type SegmentFruit = Self::Fruit;
|
||||
type Child = TestSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
segment_id: SegmentLocalId,
|
||||
_reader: &SegmentReader,
|
||||
) -> Result<TestSegmentCollector> {
|
||||
Ok(TestSegmentCollector {
|
||||
segment_id,
|
||||
fruit: TestFruit::default(),
|
||||
})
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
true
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, mut children: Vec<TestFruit>) -> Result<TestFruit> {
|
||||
children.sort_by_key(|fruit| {
|
||||
if fruit.docs().is_empty() {
|
||||
0
|
||||
} else {
|
||||
fruit.docs()[0].segment_ord()
|
||||
}
|
||||
});
|
||||
let mut docs = vec![];
|
||||
let mut scores = vec![];
|
||||
for child in children {
|
||||
docs.extend(child.docs());
|
||||
scores.extend(child.scores);
|
||||
}
|
||||
Ok(TestFruit { docs, scores })
|
||||
}
|
||||
}
|
||||
|
||||
impl SegmentCollector for TestSegmentCollector {
|
||||
type Fruit = TestFruit;
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.fruit.docs.push(DocAddress(self.segment_id, doc));
|
||||
self.fruit.scores.push(score);
|
||||
}
|
||||
|
||||
fn harvest(self) -> <Self as SegmentCollector>::Fruit {
|
||||
self.fruit
|
||||
}
|
||||
}
|
||||
|
||||
/// Collects in order all of the fast fields for all of the
|
||||
/// doc in the `DocSet`
|
||||
///
|
||||
/// This collector is mainly useful for tests.
|
||||
pub struct FastFieldTestCollector {
|
||||
field: Field,
|
||||
}
|
||||
|
||||
pub struct FastFieldSegmentCollector {
|
||||
vals: Vec<u64>,
|
||||
reader: FastFieldReader<u64>,
|
||||
}
|
||||
|
||||
impl FastFieldTestCollector {
|
||||
pub fn for_field(field: Field) -> FastFieldTestCollector {
|
||||
FastFieldTestCollector { field }
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for FastFieldTestCollector {
|
||||
type Fruit = Vec<u64>;
|
||||
type SegmentFruit = Self::Fruit;
|
||||
|
||||
type Child = FastFieldSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
_: SegmentLocalId,
|
||||
reader: &SegmentReader,
|
||||
) -> Result<FastFieldSegmentCollector> {
|
||||
Ok(FastFieldSegmentCollector {
|
||||
vals: Vec::new(),
|
||||
reader: reader.fast_field_reader(self.field)?,
|
||||
})
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, children: Vec<Vec<u64>>) -> Result<Vec<u64>> {
|
||||
Ok(children.into_iter().flat_map(|v| v.into_iter()).collect())
|
||||
}
|
||||
}
|
||||
|
||||
impl SegmentCollector for FastFieldSegmentCollector {
|
||||
type Fruit = Vec<u64>;
|
||||
|
||||
fn collect(&mut self, doc: DocId, _score: Score) {
|
||||
let val = self.reader.get(doc);
|
||||
self.vals.push(val);
|
||||
}
|
||||
|
||||
fn harvest(self) -> Vec<u64> {
|
||||
self.vals
|
||||
}
|
||||
}
|
||||
|
||||
/// Collects in order all of the fast field bytes for all of the
|
||||
/// docs in the `DocSet`
|
||||
///
|
||||
/// This collector is mainly useful for tests.
|
||||
pub struct BytesFastFieldTestCollector {
|
||||
field: Field,
|
||||
}
|
||||
|
||||
pub struct BytesFastFieldSegmentCollector {
|
||||
vals: Vec<u8>,
|
||||
reader: BytesFastFieldReader,
|
||||
}
|
||||
|
||||
impl BytesFastFieldTestCollector {
|
||||
pub fn for_field(field: Field) -> BytesFastFieldTestCollector {
|
||||
BytesFastFieldTestCollector { field }
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for BytesFastFieldTestCollector {
|
||||
type Fruit = Vec<u8>;
|
||||
type SegmentFruit = Self::Fruit;
|
||||
type Child = BytesFastFieldSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
_segment_local_id: u32,
|
||||
segment: &SegmentReader,
|
||||
) -> Result<BytesFastFieldSegmentCollector> {
|
||||
Ok(BytesFastFieldSegmentCollector {
|
||||
vals: Vec::new(),
|
||||
reader: segment.bytes_fast_field_reader(self.field)?,
|
||||
})
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, children: Vec<Vec<u8>>) -> Result<Vec<u8>> {
|
||||
Ok(children.into_iter().flat_map(|c| c.into_iter()).collect())
|
||||
}
|
||||
}
|
||||
|
||||
impl SegmentCollector for BytesFastFieldSegmentCollector {
|
||||
type Fruit = Vec<u8>;
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: f32) {
|
||||
let data = self.reader.get_val(doc);
|
||||
self.vals.extend(data);
|
||||
}
|
||||
|
||||
fn harvest(self) -> <Self as SegmentCollector>::Fruit {
|
||||
self.vals
|
||||
}
|
||||
}
|
||||
@@ -1,59 +1,56 @@
|
||||
use serde::export::PhantomData;
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::BinaryHeap;
|
||||
use DocAddress;
|
||||
use DocId;
|
||||
use Result;
|
||||
use SegmentLocalId;
|
||||
use SegmentReader;
|
||||
|
||||
/// Contains a feature (field, score, etc.) of a document along with the document address.
|
||||
///
|
||||
/// It has a custom implementation of `PartialOrd` that reverses the order. This is because the
|
||||
/// default Rust heap is a max heap, whereas a min heap is needed.
|
||||
///
|
||||
/// WARNING: equality is not what you would expect here.
|
||||
/// Two elements are equal if their feature is equal, and regardless of whether `doc`
|
||||
/// is equal. This should be perfectly fine for this usage, but let's make sure this
|
||||
/// struct is never public.
|
||||
struct ComparableDoc<T, D> {
|
||||
#[derive(Clone, Copy)]
|
||||
pub struct ComparableDoc<T> {
|
||||
feature: T,
|
||||
doc: D,
|
||||
doc_address: DocAddress,
|
||||
}
|
||||
|
||||
impl<T: PartialOrd, D> PartialOrd for ComparableDoc<T, D> {
|
||||
impl<T: PartialOrd> PartialOrd for ComparableDoc<T> {
|
||||
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
|
||||
Some(self.cmp(other))
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: PartialOrd, D> Ord for ComparableDoc<T, D> {
|
||||
impl<T: PartialOrd> Ord for ComparableDoc<T> {
|
||||
#[inline]
|
||||
fn cmp(&self, other: &Self) -> Ordering {
|
||||
other
|
||||
.feature
|
||||
.partial_cmp(&self.feature)
|
||||
.unwrap_or_else(|| Ordering::Equal)
|
||||
.unwrap_or_else(|| other.doc_address.cmp(&self.doc_address))
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: PartialOrd, D> PartialEq for ComparableDoc<T, D> {
|
||||
impl<T: PartialOrd> PartialEq for ComparableDoc<T> {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
self.cmp(other) == Ordering::Equal
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: PartialOrd, D> Eq for ComparableDoc<T, D> {}
|
||||
impl<T: PartialOrd> Eq for ComparableDoc<T> {}
|
||||
|
||||
pub(crate) struct TopCollector<T> {
|
||||
/// The Top Collector keeps track of the K documents
|
||||
/// sorted by type `T`.
|
||||
///
|
||||
/// The implementation is based on a `BinaryHeap`.
|
||||
/// The theorical complexity for collecting the top `K` out of `n` documents
|
||||
/// is `O(n log K)`.
|
||||
pub struct TopCollector<T> {
|
||||
limit: usize,
|
||||
_marker: PhantomData<T>,
|
||||
heap: BinaryHeap<ComparableDoc<T>>,
|
||||
segment_id: u32,
|
||||
}
|
||||
|
||||
impl<T> TopCollector<T>
|
||||
where
|
||||
T: PartialOrd + Clone,
|
||||
{
|
||||
impl<T: PartialOrd + Clone> TopCollector<T> {
|
||||
/// Creates a top collector, with a number of documents equal to "limit".
|
||||
///
|
||||
/// # Panics
|
||||
@@ -63,157 +60,128 @@ where
|
||||
panic!("Limit must be strictly greater than 0.");
|
||||
}
|
||||
TopCollector {
|
||||
limit,
|
||||
_marker: PhantomData,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn limit(&self) -> usize {
|
||||
self.limit
|
||||
}
|
||||
|
||||
pub fn merge_fruits(
|
||||
&self,
|
||||
children: Vec<Vec<(T, DocAddress)>>,
|
||||
) -> Result<Vec<(T, DocAddress)>> {
|
||||
if self.limit == 0 {
|
||||
return Ok(Vec::new());
|
||||
}
|
||||
let mut top_collector = BinaryHeap::new();
|
||||
for child_fruit in children {
|
||||
for (feature, doc) in child_fruit {
|
||||
if top_collector.len() < self.limit {
|
||||
top_collector.push(ComparableDoc { feature, doc });
|
||||
} else if let Some(mut head) = top_collector.peek_mut() {
|
||||
if head.feature < feature {
|
||||
*head = ComparableDoc { feature, doc };
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Ok(top_collector
|
||||
.into_sorted_vec()
|
||||
.into_iter()
|
||||
.map(|cdoc| (cdoc.feature, cdoc.doc))
|
||||
.collect())
|
||||
}
|
||||
|
||||
pub(crate) fn for_segment(
|
||||
&self,
|
||||
segment_id: SegmentLocalId,
|
||||
_: &SegmentReader,
|
||||
) -> Result<TopSegmentCollector<T>> {
|
||||
Ok(TopSegmentCollector::new(segment_id, self.limit))
|
||||
}
|
||||
}
|
||||
|
||||
/// The Top Collector keeps track of the K documents
|
||||
/// sorted by type `T`.
|
||||
///
|
||||
/// The implementation is based on a `BinaryHeap`.
|
||||
/// The theorical complexity for collecting the top `K` out of `n` documents
|
||||
/// is `O(n log K)`.
|
||||
pub(crate) struct TopSegmentCollector<T> {
|
||||
limit: usize,
|
||||
heap: BinaryHeap<ComparableDoc<T, DocId>>,
|
||||
segment_id: u32,
|
||||
}
|
||||
|
||||
impl<T: PartialOrd> TopSegmentCollector<T> {
|
||||
fn new(segment_id: SegmentLocalId, limit: usize) -> TopSegmentCollector<T> {
|
||||
TopSegmentCollector {
|
||||
limit,
|
||||
heap: BinaryHeap::with_capacity(limit),
|
||||
segment_id,
|
||||
segment_id: 0,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: PartialOrd + Clone> TopSegmentCollector<T> {
|
||||
pub fn harvest(self) -> Vec<(T, DocAddress)> {
|
||||
let segment_id = self.segment_id;
|
||||
self.heap
|
||||
.into_sorted_vec()
|
||||
/// Returns K best documents sorted in decreasing order.
|
||||
///
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
pub fn docs(&self) -> Vec<DocAddress> {
|
||||
self.top_docs()
|
||||
.into_iter()
|
||||
.map(|comparable_doc| {
|
||||
(
|
||||
comparable_doc.feature,
|
||||
DocAddress(segment_id, comparable_doc.doc),
|
||||
)
|
||||
})
|
||||
.map(|(_feature, doc)| doc)
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Returns K best FeatureDocuments sorted in decreasing order.
|
||||
///
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
pub fn top_docs(&self) -> Vec<(T, DocAddress)> {
|
||||
let mut feature_docs: Vec<ComparableDoc<T>> = self.heap.iter().cloned().collect();
|
||||
feature_docs.sort();
|
||||
feature_docs
|
||||
.into_iter()
|
||||
.map(
|
||||
|ComparableDoc {
|
||||
feature,
|
||||
doc_address,
|
||||
}| (feature, doc_address),
|
||||
).collect()
|
||||
}
|
||||
|
||||
/// Return true iff at least K documents have gone through
|
||||
/// the collector.
|
||||
#[inline(always)]
|
||||
pub(crate) fn at_capacity(&self) -> bool {
|
||||
#[inline]
|
||||
pub fn at_capacity(&self) -> bool {
|
||||
self.heap.len() >= self.limit
|
||||
}
|
||||
|
||||
/// Sets the segment local ID for the collector
|
||||
pub fn set_segment_id(&mut self, segment_id: SegmentLocalId) {
|
||||
self.segment_id = segment_id;
|
||||
}
|
||||
|
||||
/// Collects a document scored by the given feature
|
||||
///
|
||||
/// It collects documents until it has reached the max capacity. Once it reaches capacity, it
|
||||
/// will compare the lowest scoring item with the given one and keep whichever is greater.
|
||||
#[inline(always)]
|
||||
pub fn collect(&mut self, doc: DocId, feature: T) {
|
||||
if self.at_capacity() {
|
||||
// It's ok to unwrap as long as a limit of 0 is forbidden.
|
||||
if let Some(limit_feature) = self.heap.peek().map(|head| head.feature.clone()) {
|
||||
if limit_feature < feature {
|
||||
if let Some(mut head) = self.heap.peek_mut() {
|
||||
head.feature = feature;
|
||||
head.doc = doc;
|
||||
}
|
||||
}
|
||||
let limit_doc: ComparableDoc<T> = self
|
||||
.heap
|
||||
.peek()
|
||||
.expect("Top collector with size 0 is forbidden")
|
||||
.clone();
|
||||
if limit_doc.feature < feature {
|
||||
let mut mut_head = self
|
||||
.heap
|
||||
.peek_mut()
|
||||
.expect("Top collector with size 0 is forbidden");
|
||||
mut_head.feature = feature;
|
||||
mut_head.doc_address = DocAddress(self.segment_id, doc);
|
||||
}
|
||||
} else {
|
||||
// we have not reached capacity yet, so we can just push the
|
||||
// element.
|
||||
self.heap.push(ComparableDoc { feature, doc });
|
||||
let wrapped_doc = ComparableDoc {
|
||||
feature,
|
||||
doc_address: DocAddress(self.segment_id, doc),
|
||||
};
|
||||
self.heap.push(wrapped_doc);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::{TopCollector, TopSegmentCollector};
|
||||
use DocAddress;
|
||||
use super::*;
|
||||
use DocId;
|
||||
use Score;
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_not_at_capacity() {
|
||||
let mut top_collector = TopSegmentCollector::new(0, 4);
|
||||
let mut top_collector = TopCollector::with_limit(4);
|
||||
top_collector.collect(1, 0.8);
|
||||
top_collector.collect(3, 0.2);
|
||||
top_collector.collect(5, 0.3);
|
||||
assert_eq!(
|
||||
top_collector.harvest(),
|
||||
vec![
|
||||
(0.8, DocAddress(0, 1)),
|
||||
(0.3, DocAddress(0, 5)),
|
||||
(0.2, DocAddress(0, 3))
|
||||
]
|
||||
);
|
||||
assert!(!top_collector.at_capacity());
|
||||
let score_docs: Vec<(Score, DocId)> = top_collector
|
||||
.top_docs()
|
||||
.into_iter()
|
||||
.map(|(score, doc_address)| (score, doc_address.doc()))
|
||||
.collect();
|
||||
assert_eq!(score_docs, vec![(0.8, 1), (0.3, 5), (0.2, 3)]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_at_capacity() {
|
||||
let mut top_collector = TopSegmentCollector::new(0, 4);
|
||||
let mut top_collector = TopCollector::with_limit(4);
|
||||
top_collector.collect(1, 0.8);
|
||||
top_collector.collect(3, 0.2);
|
||||
top_collector.collect(5, 0.3);
|
||||
top_collector.collect(7, 0.9);
|
||||
top_collector.collect(9, -0.2);
|
||||
assert_eq!(
|
||||
top_collector.harvest(),
|
||||
vec![
|
||||
(0.9, DocAddress(0, 7)),
|
||||
(0.8, DocAddress(0, 1)),
|
||||
(0.3, DocAddress(0, 5)),
|
||||
(0.2, DocAddress(0, 3))
|
||||
]
|
||||
);
|
||||
assert!(top_collector.at_capacity());
|
||||
{
|
||||
let score_docs: Vec<(Score, DocId)> = top_collector
|
||||
.top_docs()
|
||||
.into_iter()
|
||||
.map(|(score, doc_address)| (score, doc_address.doc()))
|
||||
.collect();
|
||||
assert_eq!(score_docs, vec![(0.9, 7), (0.8, 1), (0.3, 5), (0.2, 3)]);
|
||||
}
|
||||
{
|
||||
let docs: Vec<DocId> = top_collector
|
||||
.docs()
|
||||
.into_iter()
|
||||
.map(|doc_address| doc_address.doc())
|
||||
.collect();
|
||||
assert_eq!(docs, vec![7, 1, 5, 3]);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -221,4 +189,5 @@ mod tests {
|
||||
fn test_top_0() {
|
||||
let _collector: TopCollector<Score> = TopCollector::with_limit(0);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@@ -1,13 +1,12 @@
|
||||
use super::Collector;
|
||||
use collector::top_collector::TopCollector;
|
||||
use collector::top_collector::TopSegmentCollector;
|
||||
use collector::SegmentCollector;
|
||||
use fastfield::FastFieldReader;
|
||||
use fastfield::FastValue;
|
||||
use schema::Field;
|
||||
use DocAddress;
|
||||
use DocId;
|
||||
use Result;
|
||||
use SegmentLocalId;
|
||||
use Score;
|
||||
use SegmentReader;
|
||||
|
||||
/// The Top Field Collector keeps track of the K documents
|
||||
@@ -20,57 +19,67 @@ use SegmentReader;
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// # use tantivy::schema::{Schema, Field, FAST, TEXT};
|
||||
/// # use tantivy::{Index, Result, DocAddress};
|
||||
/// # use tantivy::query::{Query, QueryParser};
|
||||
/// use tantivy::collector::TopDocs;
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT, FAST};
|
||||
/// use tantivy::{Index, Result, DocId};
|
||||
/// use tantivy::collector::TopFieldCollector;
|
||||
/// use tantivy::query::QueryParser;
|
||||
///
|
||||
/// # fn main() {
|
||||
/// # let mut schema_builder = Schema::builder();
|
||||
/// # let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// # let rating = schema_builder.add_u64_field("rating", 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();
|
||||
/// # 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));
|
||||
/// # index_writer.add_document(doc!(title => "The Diary of a Young Girl", rating => 80u64));
|
||||
/// # index_writer.commit().unwrap();
|
||||
/// # index.load_searchers().unwrap();
|
||||
/// # let query = QueryParser::for_index(&index, vec![title]).parse_query("diary").unwrap();
|
||||
/// # let top_docs = docs_sorted_by_rating(&index, &query, rating).unwrap();
|
||||
/// # assert_eq!(top_docs,
|
||||
/// # vec![(97u64, DocAddress(0u32, 1)),
|
||||
/// # (80u64, DocAddress(0u32, 3))]);
|
||||
/// # }
|
||||
/// #
|
||||
/// /// Searches the document matching the given query, and
|
||||
/// /// collects the top 10 documents, order by the `field`
|
||||
/// /// given in argument.
|
||||
/// ///
|
||||
/// /// `field` is required to be a FAST field.
|
||||
/// fn docs_sorted_by_rating(index: &Index, query: &Query, sort_by_field: Field)
|
||||
/// -> Result<Vec<(u64, DocAddress)>> {
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let rating = schema_builder.add_u64_field("rating", 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)?;
|
||||
/// 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,
|
||||
/// ));
|
||||
/// index_writer.add_document(doc!(
|
||||
/// title => "The Diary of a Young Girl",
|
||||
/// rating => 80u64,
|
||||
/// ));
|
||||
/// index_writer.commit().unwrap();
|
||||
/// }
|
||||
///
|
||||
/// // This is where we build our collector!
|
||||
/// let top_docs_by_rating = TopDocs::with_limit(2).order_by_field(sort_by_field);
|
||||
/// index.load_searchers()?;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// // ... and here is our documents. Not this is a simple vec.
|
||||
/// // The `u64` in the pair is the value of our fast field for each documents.
|
||||
/// index.searcher()
|
||||
/// .search(query, &top_docs_by_rating)
|
||||
/// {
|
||||
/// let mut top_collector = TopFieldCollector::with_limit(rating, 2);
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// searcher.search(&*query, &mut top_collector).unwrap();
|
||||
///
|
||||
/// let score_docs: Vec<(u64, DocId)> = top_collector
|
||||
/// .top_docs()
|
||||
/// .into_iter()
|
||||
/// .map(|(field, doc_address)| (field, doc_address.doc()))
|
||||
/// .collect();
|
||||
///
|
||||
/// assert_eq!(score_docs, vec![(97u64, 1), (80, 3)]);
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
/// ```
|
||||
pub struct TopDocsByField<T> {
|
||||
collector: TopCollector<T>,
|
||||
pub struct TopFieldCollector<T: FastValue> {
|
||||
field: Field,
|
||||
collector: TopCollector<T>,
|
||||
fast_field: Option<FastFieldReader<T>>,
|
||||
}
|
||||
|
||||
impl<T: FastValue + PartialOrd + Clone> TopDocsByField<T> {
|
||||
impl<T: FastValue + PartialOrd + Clone> TopFieldCollector<T> {
|
||||
/// Creates a top field collector, with a number of documents equal to "limit".
|
||||
///
|
||||
/// The given field name must be a fast field, otherwise the collector have an error while
|
||||
@@ -78,73 +87,68 @@ impl<T: FastValue + PartialOrd + Clone> TopDocsByField<T> {
|
||||
///
|
||||
/// # Panics
|
||||
/// The method panics if limit is 0
|
||||
pub(crate) fn new(field: Field, limit: usize) -> TopDocsByField<T> {
|
||||
TopDocsByField {
|
||||
collector: TopCollector::with_limit(limit),
|
||||
pub fn with_limit(field: Field, limit: usize) -> Self {
|
||||
TopFieldCollector {
|
||||
field,
|
||||
collector: TopCollector::with_limit(limit),
|
||||
fast_field: None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns K best documents sorted the given field name in decreasing order.
|
||||
///
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
pub fn docs(&self) -> Vec<DocAddress> {
|
||||
self.collector.docs()
|
||||
}
|
||||
|
||||
/// Returns K best FieldDocuments sorted in decreasing order.
|
||||
///
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
pub fn top_docs(&self) -> Vec<(T, DocAddress)> {
|
||||
self.collector.top_docs()
|
||||
}
|
||||
|
||||
/// Return true iff at least K documents have gone through
|
||||
/// the collector.
|
||||
#[inline]
|
||||
pub fn at_capacity(&self) -> bool {
|
||||
self.collector.at_capacity()
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: FastValue + PartialOrd + Send + Sync + 'static> Collector for TopDocsByField<T> {
|
||||
type Fruit = Vec<(T, DocAddress)>;
|
||||
type SegmentFruit = Vec<(T, DocAddress)>;
|
||||
impl<T: FastValue + PartialOrd + Clone> Collector for TopFieldCollector<T> {
|
||||
fn set_segment(&mut self, segment_id: u32, segment: &SegmentReader) -> Result<()> {
|
||||
self.collector.set_segment_id(segment_id);
|
||||
self.fast_field = Some(segment.fast_field_reader(self.field)?);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
type Child = TopFieldSegmentCollector<T>;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
segment_local_id: SegmentLocalId,
|
||||
reader: &SegmentReader,
|
||||
) -> Result<TopFieldSegmentCollector<T>> {
|
||||
let collector = self.collector.for_segment(segment_local_id, reader)?;
|
||||
let reader = reader.fast_field_reader(self.field)?;
|
||||
Ok(TopFieldSegmentCollector { collector, reader })
|
||||
fn collect(&mut self, doc: DocId, _score: Score) {
|
||||
let field_value = self
|
||||
.fast_field
|
||||
.as_ref()
|
||||
.expect("collect() was called before set_segment. This should never happen.")
|
||||
.get(doc);
|
||||
self.collector.collect(doc, field_value);
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
false
|
||||
}
|
||||
|
||||
fn merge_fruits(
|
||||
&self,
|
||||
segment_fruits: Vec<Vec<(T, DocAddress)>>,
|
||||
) -> Result<Vec<(T, DocAddress)>> {
|
||||
self.collector.merge_fruits(segment_fruits)
|
||||
}
|
||||
}
|
||||
|
||||
pub struct TopFieldSegmentCollector<T: FastValue + PartialOrd> {
|
||||
collector: TopSegmentCollector<T>,
|
||||
reader: FastFieldReader<T>,
|
||||
}
|
||||
|
||||
impl<T: FastValue + PartialOrd + Send + Sync + 'static> SegmentCollector
|
||||
for TopFieldSegmentCollector<T>
|
||||
{
|
||||
type Fruit = Vec<(T, DocAddress)>;
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: f32) {
|
||||
let field_value = self.reader.get(doc);
|
||||
self.collector.collect(doc, field_value);
|
||||
}
|
||||
|
||||
fn harvest(self) -> Vec<(T, DocAddress)> {
|
||||
self.collector.harvest()
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::TopDocsByField;
|
||||
use collector::Collector;
|
||||
use collector::TopDocs;
|
||||
use super::*;
|
||||
use query::Query;
|
||||
use query::QueryParser;
|
||||
use schema::Field;
|
||||
use schema::IntOptions;
|
||||
use schema::{Schema, FAST, TEXT};
|
||||
use DocAddress;
|
||||
use schema::Schema;
|
||||
use schema::{SchemaBuilder, FAST, TEXT};
|
||||
use Index;
|
||||
use IndexWriter;
|
||||
use TantivyError;
|
||||
@@ -154,7 +158,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_not_at_capacity() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field(TITLE, TEXT);
|
||||
let size = schema_builder.add_u64_field(SIZE, FAST);
|
||||
let schema = schema_builder.build();
|
||||
@@ -174,22 +178,22 @@ mod tests {
|
||||
});
|
||||
let searcher = index.searcher();
|
||||
|
||||
let top_collector = TopDocs::with_limit(4).order_by_field(size);
|
||||
let top_docs: Vec<(u64, DocAddress)> = searcher.search(&query, &top_collector).unwrap();
|
||||
assert_eq!(
|
||||
top_docs,
|
||||
vec![
|
||||
(64, DocAddress(0, 1)),
|
||||
(16, DocAddress(0, 2)),
|
||||
(12, DocAddress(0, 0))
|
||||
]
|
||||
);
|
||||
let mut top_collector = TopFieldCollector::with_limit(size, 4);
|
||||
searcher.search(&*query, &mut top_collector).unwrap();
|
||||
assert!(!top_collector.at_capacity());
|
||||
|
||||
let score_docs: Vec<(u64, DocId)> = top_collector
|
||||
.top_docs()
|
||||
.into_iter()
|
||||
.map(|(field, doc_address)| (field, doc_address.doc()))
|
||||
.collect();
|
||||
assert_eq!(score_docs, vec![(64, 1), (16, 2), (12, 0)]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic]
|
||||
fn test_field_does_not_exist() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field(TITLE, TEXT);
|
||||
let size = schema_builder.add_u64_field(SIZE, FAST);
|
||||
let schema = schema_builder.build();
|
||||
@@ -200,16 +204,14 @@ mod tests {
|
||||
));
|
||||
});
|
||||
let searcher = index.searcher();
|
||||
let top_collector: TopDocsByField<u64> = TopDocs::with_limit(4).order_by_field(Field(2));
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
top_collector
|
||||
.for_segment(0, segment_reader)
|
||||
.expect("should panic");
|
||||
let segment = searcher.segment_reader(0);
|
||||
let mut top_collector: TopFieldCollector<u64> = TopFieldCollector::with_limit(Field(2), 4);
|
||||
let _ = top_collector.set_segment(0, segment);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_field_not_fast_field() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field(TITLE, TEXT);
|
||||
let size = schema_builder.add_u64_field(SIZE, IntOptions::default());
|
||||
let schema = schema_builder.build();
|
||||
@@ -221,16 +223,26 @@ mod tests {
|
||||
});
|
||||
let searcher = index.searcher();
|
||||
let segment = searcher.segment_reader(0);
|
||||
let top_collector: TopDocsByField<u64> = TopDocs::with_limit(4).order_by_field(size);
|
||||
let mut top_collector: TopFieldCollector<u64> = TopFieldCollector::with_limit(size, 4);
|
||||
assert_matches!(
|
||||
top_collector
|
||||
.for_segment(0, segment)
|
||||
.map(|_| ())
|
||||
.unwrap_err(),
|
||||
TantivyError::FastFieldError(_)
|
||||
top_collector.set_segment(0, segment),
|
||||
Err(TantivyError::FastFieldError(_))
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic]
|
||||
fn test_collect_before_set_segment() {
|
||||
let mut top_collector: TopFieldCollector<u64> = TopFieldCollector::with_limit(Field(0), 4);
|
||||
top_collector.collect(0, 0f32);
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic]
|
||||
fn test_top_0() {
|
||||
let _: TopFieldCollector<u64> = TopFieldCollector::with_limit(Field(0), 0);
|
||||
}
|
||||
|
||||
fn index(
|
||||
query: &str,
|
||||
query_field: Field,
|
||||
|
||||
@@ -1,10 +1,5 @@
|
||||
use super::Collector;
|
||||
use collector::top_collector::TopCollector;
|
||||
use collector::top_collector::TopSegmentCollector;
|
||||
use collector::SegmentCollector;
|
||||
use collector::TopDocsByField;
|
||||
use fastfield::FastValue;
|
||||
use schema::Field;
|
||||
use DocAddress;
|
||||
use DocId;
|
||||
use Result;
|
||||
@@ -22,15 +17,14 @@ use SegmentReader;
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::DocAddress;
|
||||
/// use tantivy::schema::{Schema, TEXT};
|
||||
/// use tantivy::{Index, Result};
|
||||
/// use tantivy::collector::TopDocs;
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result, DocId, Score};
|
||||
/// use tantivy::collector::TopScoreCollector;
|
||||
/// use tantivy::query::QueryParser;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
@@ -54,148 +48,140 @@ use SegmentReader;
|
||||
/// index.load_searchers()?;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// let top_docs = searcher.search(&query, &TopDocs::with_limit(2))?;
|
||||
/// {
|
||||
/// let mut top_collector = TopScoreCollector::with_limit(2);
|
||||
/// let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
/// let query = query_parser.parse_query("diary")?;
|
||||
/// searcher.search(&*query, &mut top_collector).unwrap();
|
||||
///
|
||||
/// assert_eq!(&top_docs[0], &(0.7261542, DocAddress(0, 1)));
|
||||
/// assert_eq!(&top_docs[1], &(0.6099695, DocAddress(0, 3)));
|
||||
/// let score_docs: Vec<(Score, DocId)> = top_collector
|
||||
/// .top_docs()
|
||||
/// .into_iter()
|
||||
/// .map(|(score, doc_address)| (score, doc_address.doc()))
|
||||
/// .collect();
|
||||
///
|
||||
/// assert_eq!(score_docs, vec![(0.7261542, 1), (0.6099695, 3)]);
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
/// ```
|
||||
pub struct TopDocs(TopCollector<Score>);
|
||||
pub struct TopScoreCollector {
|
||||
collector: TopCollector<Score>,
|
||||
}
|
||||
|
||||
impl TopDocs {
|
||||
impl TopScoreCollector {
|
||||
/// Creates a top score collector, with a number of documents equal to "limit".
|
||||
///
|
||||
/// # Panics
|
||||
/// The method panics if limit is 0
|
||||
pub fn with_limit(limit: usize) -> TopDocs {
|
||||
TopDocs(TopCollector::with_limit(limit))
|
||||
pub fn with_limit(limit: usize) -> TopScoreCollector {
|
||||
TopScoreCollector {
|
||||
collector: TopCollector::with_limit(limit),
|
||||
}
|
||||
}
|
||||
|
||||
/// Set top-K to rank documents by a given fast field.
|
||||
/// Returns K best scored documents sorted in decreasing order.
|
||||
///
|
||||
/// (By default, `TopDocs` collects the top-K documents sorted by
|
||||
/// the similarity score.)
|
||||
pub fn order_by_field<T: PartialOrd + FastValue + Clone>(
|
||||
self,
|
||||
field: Field,
|
||||
) -> TopDocsByField<T> {
|
||||
TopDocsByField::new(field, self.0.limit())
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
pub fn docs(&self) -> Vec<DocAddress> {
|
||||
self.collector.docs()
|
||||
}
|
||||
|
||||
/// Returns K best ScoredDocuments sorted in decreasing order.
|
||||
///
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
pub fn top_docs(&self) -> Vec<(Score, DocAddress)> {
|
||||
self.collector.top_docs()
|
||||
}
|
||||
|
||||
/// Returns K best ScoredDocuments sorted in decreasing order.
|
||||
///
|
||||
/// Calling this method triggers the sort.
|
||||
/// The result of the sort is not cached.
|
||||
#[deprecated]
|
||||
pub fn score_docs(&self) -> Vec<(Score, DocAddress)> {
|
||||
self.collector.top_docs()
|
||||
}
|
||||
|
||||
/// Return true iff at least K documents have gone through
|
||||
/// the collector.
|
||||
#[inline]
|
||||
pub fn at_capacity(&self) -> bool {
|
||||
self.collector.at_capacity()
|
||||
}
|
||||
}
|
||||
|
||||
impl Collector for TopDocs {
|
||||
type Fruit = Vec<(Score, DocAddress)>;
|
||||
type SegmentFruit = Vec<(Score, DocAddress)>;
|
||||
impl Collector for TopScoreCollector {
|
||||
fn set_segment(&mut self, segment_id: SegmentLocalId, _: &SegmentReader) -> Result<()> {
|
||||
self.collector.set_segment_id(segment_id);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
type Child = TopScoreSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
segment_local_id: SegmentLocalId,
|
||||
reader: &SegmentReader,
|
||||
) -> Result<Self::Child> {
|
||||
let collector = self.0.for_segment(segment_local_id, reader)?;
|
||||
Ok(TopScoreSegmentCollector(collector))
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.collector.collect(doc, score);
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
true
|
||||
}
|
||||
|
||||
fn merge_fruits(&self, child_fruits: Vec<Vec<(Score, DocAddress)>>) -> Result<Self::Fruit> {
|
||||
self.0.merge_fruits(child_fruits)
|
||||
}
|
||||
}
|
||||
|
||||
/// Segment Collector associated to `TopDocs`.
|
||||
pub struct TopScoreSegmentCollector(TopSegmentCollector<Score>);
|
||||
|
||||
impl SegmentCollector for TopScoreSegmentCollector {
|
||||
type Fruit = Vec<(Score, DocAddress)>;
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.0.collect(doc, score)
|
||||
}
|
||||
|
||||
fn harvest(self) -> Vec<(Score, DocAddress)> {
|
||||
self.0.harvest()
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::TopDocs;
|
||||
use query::QueryParser;
|
||||
use schema::Schema;
|
||||
use schema::TEXT;
|
||||
use DocAddress;
|
||||
use Index;
|
||||
use super::*;
|
||||
use collector::Collector;
|
||||
use DocId;
|
||||
use Score;
|
||||
|
||||
fn make_index() -> Index {
|
||||
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, 40_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"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
index
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_not_at_capacity() {
|
||||
let index = make_index();
|
||||
let field = index.schema().get_field("text").unwrap();
|
||||
let query_parser = QueryParser::for_index(&index, vec![field]);
|
||||
let text_query = query_parser.parse_query("droopy tax").unwrap();
|
||||
let score_docs: Vec<(Score, DocAddress)> = index
|
||||
.searcher()
|
||||
.search(&text_query, &TopDocs::with_limit(4))
|
||||
.unwrap();
|
||||
assert_eq!(
|
||||
score_docs,
|
||||
vec![
|
||||
(0.81221175, DocAddress(0u32, 1)),
|
||||
(0.5376842, DocAddress(0u32, 2)),
|
||||
(0.48527452, DocAddress(0, 0))
|
||||
]
|
||||
);
|
||||
let mut top_collector = TopScoreCollector::with_limit(4);
|
||||
top_collector.collect(1, 0.8);
|
||||
top_collector.collect(3, 0.2);
|
||||
top_collector.collect(5, 0.3);
|
||||
assert!(!top_collector.at_capacity());
|
||||
let score_docs: Vec<(Score, DocId)> = top_collector
|
||||
.top_docs()
|
||||
.into_iter()
|
||||
.map(|(score, doc_address)| (score, doc_address.doc()))
|
||||
.collect();
|
||||
assert_eq!(score_docs, vec![(0.8, 1), (0.3, 5), (0.2, 3)]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_at_capacity() {
|
||||
let index = make_index();
|
||||
let field = index.schema().get_field("text").unwrap();
|
||||
let query_parser = QueryParser::for_index(&index, vec![field]);
|
||||
let text_query = query_parser.parse_query("droopy tax").unwrap();
|
||||
let score_docs: Vec<(Score, DocAddress)> = index
|
||||
.searcher()
|
||||
.search(&text_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
assert_eq!(
|
||||
score_docs,
|
||||
vec![
|
||||
(0.81221175, DocAddress(0u32, 1)),
|
||||
(0.5376842, DocAddress(0u32, 2)),
|
||||
]
|
||||
);
|
||||
let mut top_collector = TopScoreCollector::with_limit(4);
|
||||
top_collector.collect(1, 0.8);
|
||||
top_collector.collect(3, 0.2);
|
||||
top_collector.collect(5, 0.3);
|
||||
top_collector.collect(7, 0.9);
|
||||
top_collector.collect(9, -0.2);
|
||||
assert!(top_collector.at_capacity());
|
||||
{
|
||||
let score_docs: Vec<(Score, DocId)> = top_collector
|
||||
.top_docs()
|
||||
.into_iter()
|
||||
.map(|(score, doc_address)| (score, doc_address.doc()))
|
||||
.collect();
|
||||
assert_eq!(score_docs, vec![(0.9, 7), (0.8, 1), (0.3, 5), (0.2, 3)]);
|
||||
}
|
||||
{
|
||||
let docs: Vec<DocId> = top_collector
|
||||
.docs()
|
||||
.into_iter()
|
||||
.map(|doc_address| doc_address.doc())
|
||||
.collect();
|
||||
assert_eq!(docs, vec![7, 1, 5, 3]);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic]
|
||||
fn test_top_0() {
|
||||
TopDocs::with_limit(0);
|
||||
TopScoreCollector::with_limit(0);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@@ -4,8 +4,6 @@ use common::VInt;
|
||||
use directory::ReadOnlySource;
|
||||
use directory::WritePtr;
|
||||
use schema::Field;
|
||||
use space_usage::FieldUsage;
|
||||
use space_usage::PerFieldSpaceUsage;
|
||||
use std::collections::HashMap;
|
||||
use std::io::Write;
|
||||
use std::io::{self, Read};
|
||||
@@ -168,17 +166,6 @@ impl CompositeFile {
|
||||
.get(&FileAddr { field, idx })
|
||||
.map(|&(from, to)| self.data.slice(from, to))
|
||||
}
|
||||
|
||||
pub fn space_usage(&self) -> PerFieldSpaceUsage {
|
||||
let mut fields = HashMap::new();
|
||||
for (&field_addr, &(start, end)) in self.offsets_index.iter() {
|
||||
fields
|
||||
.entry(field_addr.field)
|
||||
.or_insert_with(|| FieldUsage::empty(field_addr.field))
|
||||
.add_field_idx(field_addr.idx, end - start);
|
||||
}
|
||||
PerFieldSpaceUsage::new(fields)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
|
||||
@@ -1,136 +0,0 @@
|
||||
use crossbeam::channel;
|
||||
use scoped_pool::{Pool, ThreadConfig};
|
||||
use Result;
|
||||
|
||||
/// Search executor whether search request are single thread or multithread.
|
||||
///
|
||||
/// We don't expose Rayon thread pool directly here for several reasons.
|
||||
///
|
||||
/// First dependency hell. It is not a good idea to expose the
|
||||
/// API of a dependency, knowing it might conflict with a different version
|
||||
/// used by the client. Second, we may stop using rayon in the future.
|
||||
pub enum Executor {
|
||||
SingleThread,
|
||||
ThreadPool(Pool),
|
||||
}
|
||||
|
||||
impl Executor {
|
||||
/// Creates an Executor that performs all task in the caller thread.
|
||||
pub fn single_thread() -> Executor {
|
||||
Executor::SingleThread
|
||||
}
|
||||
|
||||
// Creates an Executor that dispatches the tasks in a thread pool.
|
||||
pub fn multi_thread(num_threads: usize, prefix: &'static str) -> Executor {
|
||||
let thread_config = ThreadConfig::new().prefix(prefix);
|
||||
let pool = Pool::with_thread_config(num_threads, thread_config);
|
||||
Executor::ThreadPool(pool)
|
||||
}
|
||||
|
||||
// Perform a map in the thread pool.
|
||||
//
|
||||
// Regardless of the executor (`SingleThread` or `ThreadPool`), panics in the task
|
||||
// will propagate to the caller.
|
||||
pub fn map<
|
||||
A: Send,
|
||||
R: Send,
|
||||
AIterator: Iterator<Item = A>,
|
||||
F: Sized + Sync + Fn(A) -> Result<R>,
|
||||
>(
|
||||
&self,
|
||||
f: F,
|
||||
args: AIterator,
|
||||
) -> Result<Vec<R>> {
|
||||
match self {
|
||||
Executor::SingleThread => args.map(f).collect::<Result<_>>(),
|
||||
Executor::ThreadPool(pool) => {
|
||||
let args_with_indices: Vec<(usize, A)> = args.enumerate().collect();
|
||||
let num_fruits = args_with_indices.len();
|
||||
let fruit_receiver = {
|
||||
let (fruit_sender, fruit_receiver) = channel::unbounded();
|
||||
pool.scoped(|scope| {
|
||||
for arg_with_idx in args_with_indices {
|
||||
scope.execute(|| {
|
||||
let (idx, arg) = arg_with_idx;
|
||||
let fruit = f(arg);
|
||||
if let Err(err) = fruit_sender.send((idx, fruit)) {
|
||||
error!("Failed to send search task. It probably means all search threads have panicked. {:?}", err);
|
||||
}
|
||||
});
|
||||
}
|
||||
});
|
||||
fruit_receiver
|
||||
// This ends the scope of fruit_sender.
|
||||
// This is important as it makes it possible for the fruit_receiver iteration to
|
||||
// terminate.
|
||||
};
|
||||
let mut results = Vec::with_capacity(num_fruits);
|
||||
unsafe { results.set_len(num_fruits) };
|
||||
let mut num_items = 0;
|
||||
for (pos, fruit_res) in fruit_receiver {
|
||||
results[pos] = fruit_res?;
|
||||
num_items += 1;
|
||||
}
|
||||
// this checks ensures that we filled of this
|
||||
// uninitialized memory.
|
||||
assert_eq!(num_items, results.len());
|
||||
Ok(results)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use super::Executor;
|
||||
|
||||
#[test]
|
||||
#[should_panic(expected = "panic should propagate")]
|
||||
fn test_panic_propagates_single_thread() {
|
||||
let _result: Vec<usize> = Executor::single_thread()
|
||||
.map(
|
||||
|_| {
|
||||
panic!("panic should propagate");
|
||||
},
|
||||
vec![0].into_iter(),
|
||||
)
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic] //< unfortunately the panic message is not propagated
|
||||
fn test_panic_propagates_multi_thread() {
|
||||
let _result: Vec<usize> = Executor::multi_thread(1, "search-test")
|
||||
.map(
|
||||
|_| {
|
||||
panic!("panic should propagate");
|
||||
},
|
||||
vec![0].into_iter(),
|
||||
)
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_map_singlethread() {
|
||||
let result: Vec<usize> = Executor::single_thread()
|
||||
.map(|i| Ok(i * 2), 0..1_000)
|
||||
.unwrap();
|
||||
assert_eq!(result.len(), 1_000);
|
||||
for i in 0..1_000 {
|
||||
assert_eq!(result[i], i * 2);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_map_multithread() {
|
||||
let result: Vec<usize> = Executor::multi_thread(3, "search-test")
|
||||
.map(|i| Ok(i * 2), 0..10)
|
||||
.unwrap();
|
||||
assert_eq!(result.len(), 10);
|
||||
for i in 0..10 {
|
||||
assert_eq!(result[i], i * 2);
|
||||
}
|
||||
}
|
||||
@@ -3,7 +3,6 @@ use super::pool::Pool;
|
||||
use super::segment::create_segment;
|
||||
use super::segment::Segment;
|
||||
use core::searcher::Searcher;
|
||||
use core::Executor;
|
||||
use core::IndexMeta;
|
||||
use core::SegmentId;
|
||||
use core::SegmentMeta;
|
||||
@@ -46,39 +45,10 @@ pub struct Index {
|
||||
schema: Schema,
|
||||
num_searchers: Arc<AtomicUsize>,
|
||||
searcher_pool: Arc<Pool<Searcher>>,
|
||||
executor: Arc<Executor>,
|
||||
tokenizers: TokenizerManager,
|
||||
}
|
||||
|
||||
impl Index {
|
||||
/// Examines the director to see if it contains an index
|
||||
pub fn exists<Dir: Directory>(dir: &Dir) -> bool {
|
||||
dir.exists(&META_FILEPATH)
|
||||
}
|
||||
|
||||
/// Accessor to the search executor.
|
||||
///
|
||||
/// This pool is used by default when calling `searcher.search(...)`
|
||||
/// to perform search on the individual segments.
|
||||
///
|
||||
/// By default the executor is single thread, and simply runs in the calling thread.
|
||||
pub fn search_executor(&self) -> &Executor {
|
||||
self.executor.as_ref()
|
||||
}
|
||||
|
||||
/// Replace the default single thread search executor pool
|
||||
/// by a thread pool with a given number of threads.
|
||||
pub fn set_multithread_executor(&mut self, num_threads: usize) {
|
||||
self.executor = Arc::new(Executor::multi_thread(num_threads, "thrd-tantivy-search-"));
|
||||
}
|
||||
|
||||
/// Replace the default single thread search executor pool
|
||||
/// by a thread pool with a given number of threads.
|
||||
pub fn set_default_multithread_executor(&mut self) {
|
||||
let default_num_threads = num_cpus::get();
|
||||
self.set_multithread_executor(default_num_threads);
|
||||
}
|
||||
|
||||
/// Creates a new index using the `RAMDirectory`.
|
||||
///
|
||||
/// The index will be allocated in anonymous memory.
|
||||
@@ -95,30 +65,9 @@ impl Index {
|
||||
#[cfg(feature = "mmap")]
|
||||
pub fn create_in_dir<P: AsRef<Path>>(directory_path: P, schema: Schema) -> Result<Index> {
|
||||
let mmap_directory = MmapDirectory::open(directory_path)?;
|
||||
if Index::exists(&mmap_directory) {
|
||||
return Err(TantivyError::IndexAlreadyExists);
|
||||
}
|
||||
|
||||
Index::create(mmap_directory, schema)
|
||||
}
|
||||
|
||||
/// Opens or creates a new index in the provided directory
|
||||
#[cfg(feature = "mmap")]
|
||||
pub fn open_or_create<Dir: Directory>(dir: Dir, schema: Schema) -> Result<Index> {
|
||||
if Index::exists(&dir) {
|
||||
let index = Index::open(dir)?;
|
||||
if index.schema() == schema {
|
||||
Ok(index)
|
||||
} else {
|
||||
Err(TantivyError::SchemaError(
|
||||
"An index exists but the schema does not match.".to_string(),
|
||||
))
|
||||
}
|
||||
} else {
|
||||
Index::create(dir, schema)
|
||||
}
|
||||
}
|
||||
|
||||
/// Creates a new index in a temp directory.
|
||||
///
|
||||
/// The index will use the `MMapDirectory` in a newly created directory.
|
||||
@@ -135,13 +84,11 @@ impl Index {
|
||||
|
||||
/// Creates a new index given an implementation of the trait `Directory`
|
||||
pub fn create<Dir: Directory>(dir: Dir, schema: Schema) -> Result<Index> {
|
||||
let directory = ManagedDirectory::wrap(dir)?;
|
||||
let directory = ManagedDirectory::new(dir)?;
|
||||
Index::from_directory(directory, schema)
|
||||
}
|
||||
|
||||
/// Create a new index from a directory.
|
||||
///
|
||||
/// This will overwrite existing meta.json
|
||||
fn from_directory(mut directory: ManagedDirectory, schema: Schema) -> Result<Index> {
|
||||
save_new_metas(schema.clone(), 0, directory.borrow_mut())?;
|
||||
let metas = IndexMeta::with_schema(schema);
|
||||
@@ -158,7 +105,6 @@ impl Index {
|
||||
num_searchers: Arc::new(AtomicUsize::new(n_cpus)),
|
||||
searcher_pool: Arc::new(Pool::new()),
|
||||
tokenizers: TokenizerManager::default(),
|
||||
executor: Arc::new(Executor::single_thread()),
|
||||
};
|
||||
index.load_searchers()?;
|
||||
Ok(index)
|
||||
@@ -199,7 +145,7 @@ impl Index {
|
||||
|
||||
/// Open the index using the provided directory
|
||||
pub fn open<D: Directory>(directory: D) -> Result<Index> {
|
||||
let directory = ManagedDirectory::wrap(directory)?;
|
||||
let directory = ManagedDirectory::new(directory)?;
|
||||
let metas = load_metas(&directory)?;
|
||||
Index::create_from_metas(directory, &metas)
|
||||
}
|
||||
@@ -376,20 +322,18 @@ impl Clone for Index {
|
||||
num_searchers: Arc::clone(&self.num_searchers),
|
||||
searcher_pool: Arc::clone(&self.searcher_pool),
|
||||
tokenizers: self.tokenizers.clone(),
|
||||
executor: self.executor.clone(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use directory::RAMDirectory;
|
||||
use schema::{Schema, INT_INDEXED, TEXT};
|
||||
use schema::{SchemaBuilder, INT_INDEXED, TEXT};
|
||||
use Index;
|
||||
|
||||
#[test]
|
||||
fn test_indexer_for_field() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let num_likes_field = schema_builder.add_u64_field("num_likes", INT_INDEXED);
|
||||
let body_field = schema_builder.add_text_field("body", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
@@ -401,54 +345,4 @@ mod tests {
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_index_exists() {
|
||||
let directory = RAMDirectory::create();
|
||||
assert!(!Index::exists(&directory));
|
||||
assert!(Index::create(directory.clone(), throw_away_schema()).is_ok());
|
||||
assert!(Index::exists(&directory));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn open_or_create_should_create() {
|
||||
let directory = RAMDirectory::create();
|
||||
assert!(!Index::exists(&directory));
|
||||
assert!(Index::open_or_create(directory.clone(), throw_away_schema()).is_ok());
|
||||
assert!(Index::exists(&directory));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn open_or_create_should_open() {
|
||||
let directory = RAMDirectory::create();
|
||||
assert!(Index::create(directory.clone(), throw_away_schema()).is_ok());
|
||||
assert!(Index::exists(&directory));
|
||||
assert!(Index::open_or_create(directory, throw_away_schema()).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn create_should_wipeoff_existing() {
|
||||
let directory = RAMDirectory::create();
|
||||
assert!(Index::create(directory.clone(), throw_away_schema()).is_ok());
|
||||
assert!(Index::exists(&directory));
|
||||
assert!(Index::create(directory.clone(), Schema::builder().build()).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn open_or_create_exists_but_schema_does_not_match() {
|
||||
let directory = RAMDirectory::create();
|
||||
assert!(Index::create(directory.clone(), throw_away_schema()).is_ok());
|
||||
assert!(Index::exists(&directory));
|
||||
assert!(Index::open_or_create(directory.clone(), throw_away_schema()).is_ok());
|
||||
let err = Index::open_or_create(directory, Schema::builder().build());
|
||||
assert_eq!(
|
||||
format!("{:?}", err.unwrap_err()),
|
||||
"SchemaError(\"An index exists but the schema does not match.\")"
|
||||
);
|
||||
}
|
||||
|
||||
fn throw_away_schema() -> Schema {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let _ = schema_builder.add_u64_field("num_likes", INT_INDEXED);
|
||||
schema_builder.build()
|
||||
}
|
||||
}
|
||||
|
||||
@@ -46,13 +46,13 @@ impl fmt::Debug for IndexMeta {
|
||||
mod tests {
|
||||
|
||||
use super::IndexMeta;
|
||||
use schema::{Schema, TEXT};
|
||||
use schema::{SchemaBuilder, TEXT};
|
||||
use serde_json;
|
||||
|
||||
#[test]
|
||||
fn test_serialize_metas() {
|
||||
let schema = {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
schema_builder.add_text_field("text", TEXT);
|
||||
schema_builder.build()
|
||||
};
|
||||
|
||||
@@ -32,7 +32,10 @@ pub struct InvertedIndexReader {
|
||||
}
|
||||
|
||||
impl InvertedIndexReader {
|
||||
#[cfg_attr(feature = "cargo-clippy", allow(clippy::needless_pass_by_value))] // for symetry
|
||||
#[cfg_attr(
|
||||
feature = "cargo-clippy",
|
||||
allow(clippy::needless_pass_by_value)
|
||||
)] // for symetry
|
||||
pub(crate) fn new(
|
||||
termdict: TermDictionary,
|
||||
postings_source: ReadOnlySource,
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
mod executor;
|
||||
pub mod index;
|
||||
mod index_meta;
|
||||
mod inverted_index_reader;
|
||||
@@ -10,7 +9,6 @@ mod segment_id;
|
||||
mod segment_meta;
|
||||
mod segment_reader;
|
||||
|
||||
pub use self::executor::Executor;
|
||||
pub use self::index::Index;
|
||||
pub use self::index_meta::IndexMeta;
|
||||
pub use self::inverted_index_reader::InvertedIndexReader;
|
||||
|
||||
@@ -1,43 +1,17 @@
|
||||
use collector::Collector;
|
||||
use collector::SegmentCollector;
|
||||
use core::Executor;
|
||||
use core::InvertedIndexReader;
|
||||
use core::SegmentReader;
|
||||
use query::Query;
|
||||
use query::Scorer;
|
||||
use query::Weight;
|
||||
use schema::Document;
|
||||
use schema::Schema;
|
||||
use schema::{Field, Term};
|
||||
use space_usage::SearcherSpaceUsage;
|
||||
use std::fmt;
|
||||
use std::sync::Arc;
|
||||
use store::StoreReader;
|
||||
use termdict::TermMerger;
|
||||
use DocAddress;
|
||||
use Index;
|
||||
use Result;
|
||||
|
||||
fn collect_segment<C: Collector>(
|
||||
collector: &C,
|
||||
weight: &Weight,
|
||||
segment_ord: u32,
|
||||
segment_reader: &SegmentReader,
|
||||
) -> Result<C::SegmentFruit> {
|
||||
let mut scorer = weight.scorer(segment_reader)?;
|
||||
let mut segment_collector = collector.for_segment(segment_ord as u32, segment_reader)?;
|
||||
if let Some(delete_bitset) = segment_reader.delete_bitset() {
|
||||
scorer.for_each(&mut |doc, score| {
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
segment_collector.collect(doc, score);
|
||||
}
|
||||
});
|
||||
} else {
|
||||
scorer.for_each(&mut |doc, score| segment_collector.collect(doc, score));
|
||||
}
|
||||
Ok(segment_collector.harvest())
|
||||
}
|
||||
|
||||
/// Holds a list of `SegmentReader`s ready for search.
|
||||
///
|
||||
/// It guarantees that the `Segment` will not be removed before
|
||||
@@ -47,7 +21,6 @@ pub struct Searcher {
|
||||
schema: Schema,
|
||||
index: Index,
|
||||
segment_readers: Vec<SegmentReader>,
|
||||
store_readers: Vec<StoreReader>,
|
||||
}
|
||||
|
||||
impl Searcher {
|
||||
@@ -57,15 +30,10 @@ impl Searcher {
|
||||
index: Index,
|
||||
segment_readers: Vec<SegmentReader>,
|
||||
) -> Searcher {
|
||||
let store_readers = segment_readers
|
||||
.iter()
|
||||
.map(|segment_reader| segment_reader.get_store_reader())
|
||||
.collect();
|
||||
Searcher {
|
||||
schema,
|
||||
index,
|
||||
segment_readers,
|
||||
store_readers,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -80,8 +48,8 @@ impl Searcher {
|
||||
/// the request to the right `Segment`.
|
||||
pub fn doc(&self, doc_address: DocAddress) -> Result<Document> {
|
||||
let DocAddress(segment_local_id, doc_id) = doc_address;
|
||||
let store_reader = &self.store_readers[segment_local_id as usize];
|
||||
store_reader.get(doc_id)
|
||||
let segment_reader = &self.segment_readers[segment_local_id as usize];
|
||||
segment_reader.doc(doc_id)
|
||||
}
|
||||
|
||||
/// Access the schema associated to the index of this searcher.
|
||||
@@ -104,8 +72,7 @@ impl Searcher {
|
||||
.iter()
|
||||
.map(|segment_reader| {
|
||||
u64::from(segment_reader.inverted_index(term.field()).doc_freq(term))
|
||||
})
|
||||
.sum::<u64>()
|
||||
}).sum::<u64>()
|
||||
}
|
||||
|
||||
/// Return the list of segment readers
|
||||
@@ -118,58 +85,9 @@ impl Searcher {
|
||||
&self.segment_readers[segment_ord as usize]
|
||||
}
|
||||
|
||||
/// Runs a query on the segment readers wrapped by the searcher.
|
||||
///
|
||||
/// Search works as follows :
|
||||
///
|
||||
/// First the weight object associated to the query is created.
|
||||
///
|
||||
/// Then, the query loops over the segments and for each segment :
|
||||
/// - setup the collector and informs it that the segment being processed has changed.
|
||||
/// - creates a SegmentCollector for collecting documents associated to the segment
|
||||
/// - creates a `Scorer` object associated for this segment
|
||||
/// - iterate through the matched documents and push them to the segment collector.
|
||||
///
|
||||
/// Finally, the Collector merges each of the child collectors into itself for result usability
|
||||
/// by the caller.
|
||||
pub fn search<C: Collector>(&self, query: &Query, collector: &C) -> Result<C::Fruit> {
|
||||
let executor = self.index.search_executor();
|
||||
self.search_with_executor(query, collector, executor)
|
||||
}
|
||||
|
||||
/// Same as [`search(...)`](#method.search) but multithreaded.
|
||||
///
|
||||
/// The current implementation is rather naive :
|
||||
/// multithreading is by splitting search into as many task
|
||||
/// as there are segments.
|
||||
///
|
||||
/// It is powerless at making search faster if your index consists in
|
||||
/// one large segment.
|
||||
///
|
||||
/// Also, keep in my multithreading a single query on several
|
||||
/// threads will not improve your throughput. It can actually
|
||||
/// hurt it. It will however, decrease the average response time.
|
||||
pub fn search_with_executor<C: Collector>(
|
||||
&self,
|
||||
query: &Query,
|
||||
collector: &C,
|
||||
executor: &Executor,
|
||||
) -> Result<C::Fruit> {
|
||||
let scoring_enabled = collector.requires_scoring();
|
||||
let weight = query.weight(self, scoring_enabled)?;
|
||||
let segment_readers = self.segment_readers();
|
||||
let fruits = executor.map(
|
||||
|(segment_ord, segment_reader)| {
|
||||
collect_segment(
|
||||
collector,
|
||||
weight.as_ref(),
|
||||
segment_ord as u32,
|
||||
segment_reader,
|
||||
)
|
||||
},
|
||||
segment_readers.iter().enumerate(),
|
||||
)?;
|
||||
collector.merge_fruits(fruits)
|
||||
/// Runs a query on the segment readers wrapped by the searcher
|
||||
pub fn search<C: Collector>(&self, query: &Query, collector: &mut C) -> Result<()> {
|
||||
query.search(self, collector)
|
||||
}
|
||||
|
||||
/// Return the field searcher associated to a `Field`.
|
||||
@@ -181,15 +99,6 @@ impl Searcher {
|
||||
.collect::<Vec<_>>();
|
||||
FieldSearcher::new(inv_index_readers)
|
||||
}
|
||||
|
||||
/// Summarize total space usage of this searcher.
|
||||
pub fn space_usage(&self) -> SearcherSpaceUsage {
|
||||
let mut space_usage = SearcherSpaceUsage::new();
|
||||
for segment_reader in self.segment_readers.iter() {
|
||||
space_usage.add_segment(segment_reader.space_usage());
|
||||
}
|
||||
space_usage
|
||||
}
|
||||
}
|
||||
|
||||
pub struct FieldSearcher {
|
||||
|
||||
@@ -4,7 +4,6 @@ use core::InvertedIndexReader;
|
||||
use core::Segment;
|
||||
use core::SegmentComponent;
|
||||
use core::SegmentId;
|
||||
use directory::ReadOnlySource;
|
||||
use error::TantivyError;
|
||||
use fastfield::DeleteBitSet;
|
||||
use fastfield::FacetReader;
|
||||
@@ -13,10 +12,10 @@ use fastfield::{self, FastFieldNotAvailableError};
|
||||
use fastfield::{BytesFastFieldReader, FastValue, MultiValueIntFastFieldReader};
|
||||
use fieldnorm::FieldNormReader;
|
||||
use schema::Cardinality;
|
||||
use schema::Document;
|
||||
use schema::Field;
|
||||
use schema::FieldType;
|
||||
use schema::Schema;
|
||||
use space_usage::SegmentSpaceUsage;
|
||||
use std::collections::HashMap;
|
||||
use std::fmt;
|
||||
use std::sync::Arc;
|
||||
@@ -54,7 +53,7 @@ pub struct SegmentReader {
|
||||
fast_fields_composite: CompositeFile,
|
||||
fieldnorms_composite: CompositeFile,
|
||||
|
||||
store_source: ReadOnlySource,
|
||||
store_reader: StoreReader,
|
||||
delete_bitset_opt: Option<DeleteBitSet>,
|
||||
schema: Schema,
|
||||
}
|
||||
@@ -197,7 +196,8 @@ impl SegmentReader {
|
||||
/// Accessor to the segment's `Field norms`'s reader.
|
||||
///
|
||||
/// Field norms are the length (in tokens) of the fields.
|
||||
/// It is used in the computation of the [TfIdf](https://fulmicoton.gitbooks.io/tantivy-doc/content/tfidf.html).
|
||||
/// It is used in the computation of the [TfIdf]
|
||||
/// (https://fulmicoton.gitbooks.io/tantivy-doc/content/tfidf.html).
|
||||
///
|
||||
/// They are simply stored as a fast field, serialized in
|
||||
/// the `.fieldnorm` file of the segment.
|
||||
@@ -215,8 +215,8 @@ impl SegmentReader {
|
||||
}
|
||||
|
||||
/// Accessor to the segment's `StoreReader`.
|
||||
pub fn get_store_reader(&self) -> StoreReader {
|
||||
StoreReader::from_source(self.store_source.clone())
|
||||
pub fn get_store_reader(&self) -> &StoreReader {
|
||||
&self.store_reader
|
||||
}
|
||||
|
||||
/// Open a new segment for reading.
|
||||
@@ -225,6 +225,7 @@ impl SegmentReader {
|
||||
let termdict_composite = CompositeFile::open(&termdict_source)?;
|
||||
|
||||
let store_source = segment.open_read(SegmentComponent::STORE)?;
|
||||
let store_reader = StoreReader::from_source(store_source);
|
||||
|
||||
fail_point!("SegmentReader::open#middle");
|
||||
|
||||
@@ -270,7 +271,7 @@ impl SegmentReader {
|
||||
fast_fields_composite,
|
||||
fieldnorms_composite,
|
||||
segment_id: segment.id(),
|
||||
store_source,
|
||||
store_reader,
|
||||
delete_bitset_opt,
|
||||
positions_composite,
|
||||
positions_idx_composite,
|
||||
@@ -349,6 +350,14 @@ impl SegmentReader {
|
||||
inv_idx_reader
|
||||
}
|
||||
|
||||
/// Returns the document (or to be accurate, its stored field)
|
||||
/// bearing the given doc id.
|
||||
/// This method is slow and should seldom be called from
|
||||
/// within a collector.
|
||||
pub fn doc(&self, doc_id: DocId) -> Result<Document> {
|
||||
self.store_reader.get(doc_id)
|
||||
}
|
||||
|
||||
/// Returns the segment id
|
||||
pub fn segment_id(&self) -> SegmentId {
|
||||
self.segment_id
|
||||
@@ -372,24 +381,6 @@ impl SegmentReader {
|
||||
pub fn doc_ids_alive(&self) -> SegmentReaderAliveDocsIterator {
|
||||
SegmentReaderAliveDocsIterator::new(&self)
|
||||
}
|
||||
|
||||
/// Summarize total space usage of this segment.
|
||||
pub fn space_usage(&self) -> SegmentSpaceUsage {
|
||||
SegmentSpaceUsage::new(
|
||||
self.num_docs(),
|
||||
self.termdict_composite.space_usage(),
|
||||
self.postings_composite.space_usage(),
|
||||
self.positions_composite.space_usage(),
|
||||
self.positions_idx_composite.space_usage(),
|
||||
self.fast_fields_composite.space_usage(),
|
||||
self.fieldnorms_composite.space_usage(),
|
||||
self.get_store_reader().space_usage(),
|
||||
self.delete_bitset_opt
|
||||
.as_ref()
|
||||
.map(|x| x.space_usage())
|
||||
.unwrap_or(0),
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Debug for SegmentReader {
|
||||
@@ -447,12 +438,12 @@ impl<'a> Iterator for SegmentReaderAliveDocsIterator<'a> {
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use core::Index;
|
||||
use schema::{Schema, Term, STORED, TEXT};
|
||||
use schema::{SchemaBuilder, Term, STORED, TEXT};
|
||||
use DocId;
|
||||
|
||||
#[test]
|
||||
fn test_alive_docs_iterator() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
schema_builder.add_text_field("name", TEXT | STORED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
@@ -59,7 +59,7 @@ fn save_managed_paths(
|
||||
|
||||
impl ManagedDirectory {
|
||||
/// Wraps a directory as managed directory.
|
||||
pub fn wrap<Dir: Directory>(directory: Dir) -> Result<ManagedDirectory> {
|
||||
pub fn new<Dir: Directory>(directory: Dir) -> Result<ManagedDirectory> {
|
||||
match directory.atomic_read(&MANAGED_FILEPATH) {
|
||||
Ok(data) => {
|
||||
let managed_files_json = String::from_utf8_lossy(&data);
|
||||
@@ -260,7 +260,7 @@ mod tests {
|
||||
let tempdir_path = PathBuf::from(tempdir.path());
|
||||
{
|
||||
let mmap_directory = MmapDirectory::open(&tempdir_path).unwrap();
|
||||
let mut managed_directory = ManagedDirectory::wrap(mmap_directory).unwrap();
|
||||
let mut managed_directory = ManagedDirectory::new(mmap_directory).unwrap();
|
||||
{
|
||||
let mut write_file = managed_directory.open_write(*TEST_PATH1).unwrap();
|
||||
write_file.flush().unwrap();
|
||||
@@ -286,7 +286,7 @@ mod tests {
|
||||
}
|
||||
{
|
||||
let mmap_directory = MmapDirectory::open(&tempdir_path).unwrap();
|
||||
let mut managed_directory = ManagedDirectory::wrap(mmap_directory).unwrap();
|
||||
let mut managed_directory = ManagedDirectory::new(mmap_directory).unwrap();
|
||||
{
|
||||
assert!(managed_directory.exists(*TEST_PATH1));
|
||||
assert!(!managed_directory.exists(*TEST_PATH2));
|
||||
@@ -310,7 +310,7 @@ mod tests {
|
||||
let living_files = HashSet::new();
|
||||
|
||||
let mmap_directory = MmapDirectory::open(&tempdir_path).unwrap();
|
||||
let mut managed_directory = ManagedDirectory::wrap(mmap_directory).unwrap();
|
||||
let mut managed_directory = ManagedDirectory::new(mmap_directory).unwrap();
|
||||
managed_directory
|
||||
.atomic_write(*TEST_PATH1, &vec![0u8, 1u8])
|
||||
.unwrap();
|
||||
|
||||
@@ -364,11 +364,6 @@ mod tests {
|
||||
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_open_non_existant_path() {
|
||||
assert!(MmapDirectory::open(PathBuf::from("./nowhere")).is_err());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_open_empty() {
|
||||
// empty file is actually an edge case because those
|
||||
|
||||
@@ -12,6 +12,7 @@ mod managed_directory;
|
||||
mod ram_directory;
|
||||
mod read_only_source;
|
||||
mod shared_vec_slice;
|
||||
mod static_dictionnary;
|
||||
|
||||
/// Errors specific to the directory module.
|
||||
pub mod error;
|
||||
@@ -21,6 +22,7 @@ use std::io::{BufWriter, Seek, Write};
|
||||
pub use self::directory::{Directory, DirectoryClone};
|
||||
pub use self::ram_directory::RAMDirectory;
|
||||
pub use self::read_only_source::ReadOnlySource;
|
||||
pub use self::static_dictionnary::StaticDirectory;
|
||||
|
||||
#[cfg(feature = "mmap")]
|
||||
pub use self::mmap_directory::MmapDirectory;
|
||||
|
||||
@@ -100,8 +100,7 @@ impl InnerDirectory {
|
||||
);
|
||||
let io_err = make_io_err(msg);
|
||||
OpenReadError::IOError(IOError::with_path(path.to_owned(), io_err))
|
||||
})
|
||||
.and_then(|readable_map| {
|
||||
}).and_then(|readable_map| {
|
||||
readable_map
|
||||
.get(path)
|
||||
.ok_or_else(|| OpenReadError::FileDoesNotExist(PathBuf::from(path)))
|
||||
@@ -121,8 +120,7 @@ impl InnerDirectory {
|
||||
);
|
||||
let io_err = make_io_err(msg);
|
||||
DeleteError::IOError(IOError::with_path(path.to_owned(), io_err))
|
||||
})
|
||||
.and_then(|mut writable_map| match writable_map.remove(path) {
|
||||
}).and_then(|mut writable_map| match writable_map.remove(path) {
|
||||
Some(_) => Ok(()),
|
||||
None => Err(DeleteError::FileDoesNotExist(PathBuf::from(path))),
|
||||
})
|
||||
|
||||
@@ -5,6 +5,9 @@ use fst::raw::MmapReadOnly;
|
||||
use stable_deref_trait::{CloneStableDeref, StableDeref};
|
||||
use std::ops::Deref;
|
||||
|
||||
|
||||
const EMPTY_SLICE: [u8; 0] = [];
|
||||
|
||||
/// Read object that represents files in tantivy.
|
||||
///
|
||||
/// These read objects are only in charge to deliver
|
||||
@@ -17,6 +20,8 @@ pub enum ReadOnlySource {
|
||||
Mmap(MmapReadOnly),
|
||||
/// Wrapping a `Vec<u8>`
|
||||
Anonymous(SharedVecSlice),
|
||||
/// Wrapping a static slice
|
||||
Static(&'static [u8])
|
||||
}
|
||||
|
||||
unsafe impl StableDeref for ReadOnlySource {}
|
||||
@@ -33,7 +38,7 @@ impl Deref for ReadOnlySource {
|
||||
impl ReadOnlySource {
|
||||
/// Creates an empty ReadOnlySource
|
||||
pub fn empty() -> ReadOnlySource {
|
||||
ReadOnlySource::Anonymous(SharedVecSlice::empty())
|
||||
ReadOnlySource::Static(&EMPTY_SLICE)
|
||||
}
|
||||
|
||||
/// Returns the data underlying the ReadOnlySource object.
|
||||
@@ -42,6 +47,7 @@ impl ReadOnlySource {
|
||||
#[cfg(feature = "mmap")]
|
||||
ReadOnlySource::Mmap(ref mmap_read_only) => mmap_read_only.as_slice(),
|
||||
ReadOnlySource::Anonymous(ref shared_vec) => shared_vec.as_slice(),
|
||||
ReadOnlySource::Static(data) => data,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -79,6 +85,9 @@ impl ReadOnlySource {
|
||||
ReadOnlySource::Anonymous(ref shared_vec) => {
|
||||
ReadOnlySource::Anonymous(shared_vec.slice(from_offset, to_offset))
|
||||
}
|
||||
ReadOnlySource::Static(data) => {
|
||||
ReadOnlySource::Static(&data[from_offset..to_offset])
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -118,3 +127,9 @@ impl From<Vec<u8>> for ReadOnlySource {
|
||||
ReadOnlySource::Anonymous(shared_data)
|
||||
}
|
||||
}
|
||||
|
||||
impl From<&'static [u8]> for ReadOnlySource {
|
||||
fn from(data: &'static [u8]) -> ReadOnlySource {
|
||||
ReadOnlySource::Static(data)
|
||||
}
|
||||
}
|
||||
|
||||
26
src/error.rs
26
src/error.rs
@@ -15,14 +15,11 @@ use std::sync::PoisonError;
|
||||
#[derive(Debug, Fail)]
|
||||
pub enum TantivyError {
|
||||
/// Path does not exist.
|
||||
#[fail(display = "Path does not exist: '{:?}'", _0)]
|
||||
#[fail(display = "path does not exist: '{:?}'", _0)]
|
||||
PathDoesNotExist(PathBuf),
|
||||
/// File already exists, this is a problem when we try to write into a new file.
|
||||
#[fail(display = "File already exists: '{:?}'", _0)]
|
||||
#[fail(display = "file already exists: '{:?}'", _0)]
|
||||
FileAlreadyExists(PathBuf),
|
||||
/// Index already exists in this directory
|
||||
#[fail(display = "Index already exists")]
|
||||
IndexAlreadyExists,
|
||||
/// Failed to acquire file lock
|
||||
#[fail(
|
||||
display = "Failed to acquire Lockfile: {:?}. Possible causes: another IndexWriter instance or panic during previous lock drop.",
|
||||
@@ -30,29 +27,28 @@ pub enum TantivyError {
|
||||
)]
|
||||
LockFailure(LockType),
|
||||
/// IO Error.
|
||||
#[fail(display = "An IO error occurred: '{}'", _0)]
|
||||
#[fail(display = "an IO error occurred: '{}'", _0)]
|
||||
IOError(#[cause] IOError),
|
||||
/// Data corruption.
|
||||
#[fail(display = "File contains corrupted data: '{:?}'", _0)]
|
||||
/// The data within is corrupted.
|
||||
///
|
||||
/// For instance, it contains invalid JSON.
|
||||
#[fail(display = "file contains corrupted data: '{:?}'", _0)]
|
||||
CorruptedFile(PathBuf),
|
||||
/// A thread holding the locked panicked and poisoned the lock.
|
||||
#[fail(display = "A thread holding the locked panicked and poisoned the lock")]
|
||||
#[fail(display = "a thread holding the locked panicked and poisoned the lock")]
|
||||
Poisoned,
|
||||
/// Invalid argument was passed by the user.
|
||||
#[fail(display = "An invalid argument was passed: '{}'", _0)]
|
||||
#[fail(display = "an invalid argument was passed: '{}'", _0)]
|
||||
InvalidArgument(String),
|
||||
/// An Error happened in one of the thread.
|
||||
#[fail(display = "An error occurred in a thread: '{}'", _0)]
|
||||
#[fail(display = "an error occurred in a thread: '{}'", _0)]
|
||||
ErrorInThread(String),
|
||||
/// An Error appeared related to the schema.
|
||||
#[fail(display = "Schema error: '{}'", _0)]
|
||||
SchemaError(String),
|
||||
/// Tried to access a fastfield reader for a field not configured accordingly.
|
||||
#[fail(display = "Fast field not available: '{:?}'", _0)]
|
||||
#[fail(display = "fast field not available: '{:?}'", _0)]
|
||||
FastFieldError(#[cause] FastFieldNotAvailableError),
|
||||
/// System error. (e.g.: We failed spawning a new thread)
|
||||
#[fail(display = "System error.'{}'", _0)]
|
||||
SystemError(String),
|
||||
}
|
||||
|
||||
impl From<FastFieldNotAvailableError> for TantivyError {
|
||||
|
||||
@@ -6,12 +6,12 @@ pub use self::writer::BytesFastFieldWriter;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use schema::Schema;
|
||||
use schema::SchemaBuilder;
|
||||
use Index;
|
||||
|
||||
#[test]
|
||||
fn test_bytes() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_bytes_field("bytesfield");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
@@ -2,7 +2,6 @@ use bit_set::BitSet;
|
||||
use common::HasLen;
|
||||
use directory::ReadOnlySource;
|
||||
use directory::WritePtr;
|
||||
use space_usage::ByteCount;
|
||||
use std::io;
|
||||
use std::io::Write;
|
||||
use DocId;
|
||||
@@ -64,11 +63,6 @@ impl DeleteBitSet {
|
||||
b & (1u8 << shift) != 0
|
||||
}
|
||||
}
|
||||
|
||||
/// Summarize total space usage of this bitset.
|
||||
pub fn space_usage(&self) -> ByteCount {
|
||||
self.data.len()
|
||||
}
|
||||
}
|
||||
|
||||
impl HasLen for DeleteBitSet {
|
||||
|
||||
@@ -127,19 +127,19 @@ mod tests {
|
||||
use common::CompositeFile;
|
||||
use directory::{Directory, RAMDirectory, WritePtr};
|
||||
use fastfield::FastFieldReader;
|
||||
use rand::prelude::SliceRandom;
|
||||
use rand::rngs::StdRng;
|
||||
use rand::Rng;
|
||||
use rand::SeedableRng;
|
||||
use rand::XorShiftRng;
|
||||
use schema::Document;
|
||||
use schema::Field;
|
||||
use schema::Schema;
|
||||
use schema::FAST;
|
||||
use schema::{Schema, SchemaBuilder};
|
||||
use std::collections::HashMap;
|
||||
use std::path::Path;
|
||||
|
||||
lazy_static! {
|
||||
pub static ref SCHEMA: Schema = {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
schema_builder.add_u64_field("field", FAST);
|
||||
schema_builder.build()
|
||||
};
|
||||
@@ -298,7 +298,7 @@ mod tests {
|
||||
fn test_signed_intfastfield() {
|
||||
let path = Path::new("test");
|
||||
let mut directory: RAMDirectory = RAMDirectory::create();
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
|
||||
let i64_field = schema_builder.add_i64_field("field", FAST);
|
||||
let schema = schema_builder.build();
|
||||
@@ -342,7 +342,7 @@ mod tests {
|
||||
fn test_signed_intfastfield_default_val() {
|
||||
let path = Path::new("test");
|
||||
let mut directory: RAMDirectory = RAMDirectory::create();
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let i64_field = schema_builder.add_i64_field("field", FAST);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
@@ -367,10 +367,11 @@ mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
// Warning: this generates the same permutation at each call
|
||||
pub fn generate_permutation() -> Vec<u64> {
|
||||
let seed: [u8; 16] = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
|
||||
let mut rng = XorShiftRng::from_seed(seed);
|
||||
let mut permutation: Vec<u64> = (0u64..100_000u64).collect();
|
||||
permutation.shuffle(&mut StdRng::from_seed([1u8; 32]));
|
||||
rng.shuffle(&mut permutation);
|
||||
permutation
|
||||
}
|
||||
|
||||
|
||||
@@ -9,12 +9,12 @@ mod tests {
|
||||
|
||||
use schema::Cardinality;
|
||||
use schema::IntOptions;
|
||||
use schema::Schema;
|
||||
use schema::SchemaBuilder;
|
||||
use Index;
|
||||
|
||||
#[test]
|
||||
fn test_multivalued_u64() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_u64_field(
|
||||
"multifield",
|
||||
IntOptions::default().set_fast(Cardinality::MultiValues),
|
||||
@@ -49,7 +49,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_multivalued_i64() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_i64_field(
|
||||
"multifield",
|
||||
IntOptions::default().set_fast(Cardinality::MultiValues),
|
||||
|
||||
@@ -47,11 +47,11 @@ impl<Item: FastValue> MultiValueIntFastFieldReader<Item> {
|
||||
mod tests {
|
||||
|
||||
use core::Index;
|
||||
use schema::{Document, Facet, Schema};
|
||||
use schema::{Document, Facet, SchemaBuilder};
|
||||
|
||||
#[test]
|
||||
fn test_multifastfield_reader() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let facet_field = schema_builder.add_facet_field("facets");
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
@@ -7,7 +7,7 @@ use directory::ReadOnlySource;
|
||||
use directory::{Directory, RAMDirectory, WritePtr};
|
||||
use fastfield::{FastFieldSerializer, FastFieldsWriter};
|
||||
use owning_ref::OwningRef;
|
||||
use schema::Schema;
|
||||
use schema::SchemaBuilder;
|
||||
use schema::FAST;
|
||||
use std::collections::HashMap;
|
||||
use std::marker::PhantomData;
|
||||
@@ -108,7 +108,7 @@ impl<Item: FastValue> FastFieldReader<Item> {
|
||||
|
||||
impl<Item: FastValue> From<Vec<Item>> for FastFieldReader<Item> {
|
||||
fn from(vals: Vec<Item>) -> FastFieldReader<Item> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_u64_field("field", FAST);
|
||||
let schema = schema_builder.build();
|
||||
let path = Path::new("__dummy__");
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
//! precompute computationally expensive functions of the fieldnorm
|
||||
//! in a very short array.
|
||||
//!
|
||||
//! This trick is used by the BM25 similarity.
|
||||
//! This trick is used by the [BM25 similarity]().
|
||||
mod code;
|
||||
mod reader;
|
||||
mod serializer;
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
use rand::thread_rng;
|
||||
use std::collections::HashSet;
|
||||
|
||||
use rand::distributions::Range;
|
||||
use rand::Rng;
|
||||
use schema::*;
|
||||
use Index;
|
||||
@@ -15,7 +16,7 @@ fn check_index_content(searcher: &Searcher, vals: &HashSet<u64>) {
|
||||
#[ignore]
|
||||
#[cfg(feature = "mmap")]
|
||||
fn test_indexing() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
|
||||
let id_field = schema_builder.add_u64_field("id", INT_INDEXED);
|
||||
let multiples_field = schema_builder.add_u64_field("multiples", INT_INDEXED);
|
||||
@@ -23,6 +24,7 @@ fn test_indexing() {
|
||||
|
||||
let index = Index::create_from_tempdir(schema).unwrap();
|
||||
|
||||
let universe = Range::new(0u64, 20u64);
|
||||
let mut rng = thread_rng();
|
||||
|
||||
let mut index_writer = index.writer_with_num_threads(3, 120_000_000).unwrap();
|
||||
@@ -31,7 +33,7 @@ fn test_indexing() {
|
||||
let mut uncommitted_docs: HashSet<u64> = HashSet::new();
|
||||
|
||||
for _ in 0..200 {
|
||||
let random_val = rng.gen_range(0, 20);
|
||||
let random_val = rng.sample(&universe);
|
||||
if random_val == 0 {
|
||||
index_writer.commit().expect("Commit failed");
|
||||
committed_docs.extend(&uncommitted_docs);
|
||||
|
||||
@@ -191,7 +191,10 @@ impl DeleteCursor {
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg_attr(feature = "cargo-clippy", allow(clippy::wrong_self_convention))]
|
||||
#[cfg_attr(
|
||||
feature = "cargo-clippy",
|
||||
allow(clippy::wrong_self_convention)
|
||||
)]
|
||||
fn is_behind_opstamp(&mut self, target_opstamp: u64) -> bool {
|
||||
self.get()
|
||||
.map(|operation| operation.opstamp < target_opstamp)
|
||||
|
||||
@@ -8,7 +8,7 @@ use core::SegmentComponent;
|
||||
use core::SegmentId;
|
||||
use core::SegmentMeta;
|
||||
use core::SegmentReader;
|
||||
use crossbeam::channel;
|
||||
use crossbeam_channel as channel;
|
||||
use docset::DocSet;
|
||||
use error::TantivyError;
|
||||
use fastfield::write_delete_bitset;
|
||||
@@ -61,8 +61,7 @@ fn initial_table_size(per_thread_memory_budget: usize) -> usize {
|
||||
"Per thread memory is too small: {}",
|
||||
per_thread_memory_budget
|
||||
)
|
||||
})
|
||||
.min(19) // we cap it at 512K
|
||||
}).min(19) // we cap it at 512K
|
||||
}
|
||||
|
||||
/// `IndexWriter` is the user entry-point to add document to an index.
|
||||
@@ -140,7 +139,7 @@ pub fn open_index_writer(
|
||||
let stamper = Stamper::new(current_opstamp);
|
||||
|
||||
let segment_updater =
|
||||
SegmentUpdater::create(index.clone(), stamper.clone(), &delete_queue.cursor())?;
|
||||
SegmentUpdater::new(index.clone(), stamper.clone(), &delete_queue.cursor())?;
|
||||
|
||||
let mut index_writer = IndexWriter {
|
||||
_directory_lock: Some(directory_lock),
|
||||
@@ -389,13 +388,11 @@ impl IndexWriter {
|
||||
let mem_budget = self.heap_size_in_bytes_per_thread;
|
||||
let join_handle: JoinHandle<Result<()>> = thread::Builder::new()
|
||||
.name(format!(
|
||||
"thrd-tantivy-index{}-gen{}",
|
||||
"indexing thread {} for gen {}",
|
||||
self.worker_id, generation
|
||||
))
|
||||
.spawn(move || {
|
||||
)).spawn(move || {
|
||||
loop {
|
||||
let mut document_iterator =
|
||||
document_receiver_clone.clone().into_iter().peekable();
|
||||
let mut document_iterator = document_receiver_clone.clone().peekable();
|
||||
|
||||
// the peeking here is to avoid
|
||||
// creating a new segment's files
|
||||
@@ -467,8 +464,10 @@ impl IndexWriter {
|
||||
///
|
||||
/// Returns the former segment_ready channel.
|
||||
fn recreate_document_channel(&mut self) -> DocumentReceiver {
|
||||
let (mut document_sender, mut document_receiver): (DocumentSender, DocumentReceiver) =
|
||||
channel::bounded(PIPELINE_MAX_SIZE_IN_DOCS);
|
||||
let (mut document_sender, mut document_receiver): (
|
||||
DocumentSender,
|
||||
DocumentReceiver,
|
||||
) = channel::bounded(PIPELINE_MAX_SIZE_IN_DOCS);
|
||||
swap(&mut self.document_sender, &mut document_sender);
|
||||
swap(&mut self.document_receiver, &mut document_receiver);
|
||||
document_receiver
|
||||
@@ -641,10 +640,7 @@ impl IndexWriter {
|
||||
pub fn add_document(&mut self, document: Document) -> u64 {
|
||||
let opstamp = self.stamper.stamp();
|
||||
let add_operation = AddOperation { opstamp, document };
|
||||
let send_result = self.document_sender.send(add_operation);
|
||||
if let Err(e) = send_result {
|
||||
panic!("Failed to index document. Sending to indexing channel failed. This probably means all of the indexing threads have panicked. {:?}", e);
|
||||
}
|
||||
self.document_sender.send(add_operation);
|
||||
opstamp
|
||||
}
|
||||
}
|
||||
@@ -661,7 +657,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_lockfile_stops_duplicates() {
|
||||
let schema_builder = schema::Schema::builder();
|
||||
let schema_builder = schema::SchemaBuilder::default();
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let _index_writer = index.writer(40_000_000).unwrap();
|
||||
match index.writer(40_000_000) {
|
||||
@@ -672,7 +668,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_lockfile_already_exists_error_msg() {
|
||||
let schema_builder = schema::Schema::builder();
|
||||
let schema_builder = schema::SchemaBuilder::default();
|
||||
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) {
|
||||
@@ -687,7 +683,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_set_merge_policy() {
|
||||
let schema_builder = schema::Schema::builder();
|
||||
let schema_builder = schema::SchemaBuilder::default();
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let index_writer = index.writer(40_000_000).unwrap();
|
||||
assert_eq!(
|
||||
@@ -705,7 +701,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_lockfile_released_on_drop() {
|
||||
let schema_builder = schema::Schema::builder();
|
||||
let schema_builder = schema::SchemaBuilder::default();
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
{
|
||||
let _index_writer = index.writer(40_000_000).unwrap();
|
||||
@@ -717,7 +713,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_commit_and_rollback() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
@@ -751,7 +747,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_with_merges() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let num_docs_containing = |s: &str| {
|
||||
@@ -788,7 +784,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_prepare_with_commit_message() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
@@ -822,7 +818,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_prepare_but_rollback() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
@@ -870,7 +866,7 @@ mod tests {
|
||||
#[test]
|
||||
fn test_write_commit_fails() {
|
||||
use fail;
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
|
||||
@@ -40,15 +40,13 @@ fn compute_total_num_tokens(readers: &[SegmentReader], field: Field) -> u64 {
|
||||
total_tokens += reader.inverted_index(field).total_num_tokens();
|
||||
}
|
||||
}
|
||||
total_tokens
|
||||
+ count
|
||||
.iter()
|
||||
.cloned()
|
||||
.enumerate()
|
||||
.map(|(fieldnorm_ord, count)| {
|
||||
count as u64 * u64::from(FieldNormReader::id_to_fieldnorm(fieldnorm_ord as u8))
|
||||
})
|
||||
.sum::<u64>()
|
||||
total_tokens + count
|
||||
.iter()
|
||||
.cloned()
|
||||
.enumerate()
|
||||
.map(|(fieldnorm_ord, count)| {
|
||||
count as u64 * u64::from(FieldNormReader::id_to_fieldnorm(fieldnorm_ord as u8))
|
||||
}).sum::<u64>()
|
||||
}
|
||||
|
||||
pub struct IndexMerger {
|
||||
@@ -525,8 +523,7 @@ impl IndexMerger {
|
||||
}
|
||||
}
|
||||
None
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
|
||||
// At this point, `segment_postings` contains the posting list
|
||||
// of all of the segments containing the given term.
|
||||
@@ -617,7 +614,7 @@ impl IndexMerger {
|
||||
store_writer.store(&doc)?;
|
||||
}
|
||||
} else {
|
||||
store_writer.stack(&store_reader)?;
|
||||
store_writer.stack(store_reader)?;
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
@@ -638,9 +635,10 @@ impl SerializableSegment for IndexMerger {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use byteorder::{BigEndian, ReadBytesExt, WriteBytesExt};
|
||||
use collector::chain;
|
||||
use collector::tests::TestCollector;
|
||||
use collector::tests::{BytesFastFieldTestCollector, FastFieldTestCollector};
|
||||
use collector::{Count, FacetCollector};
|
||||
use collector::FacetCollector;
|
||||
use core::Index;
|
||||
use futures::Future;
|
||||
use query::AllQuery;
|
||||
@@ -649,7 +647,6 @@ mod tests {
|
||||
use schema;
|
||||
use schema::Cardinality;
|
||||
use schema::Document;
|
||||
use schema::Facet;
|
||||
use schema::IndexRecordOption;
|
||||
use schema::IntOptions;
|
||||
use schema::Term;
|
||||
@@ -661,14 +658,13 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_index_merger_no_deletes() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_fieldtype = schema::TextOptions::default()
|
||||
.set_indexing_options(
|
||||
TextFieldIndexing::default()
|
||||
.set_tokenizer("default")
|
||||
.set_index_option(IndexRecordOption::WithFreqs),
|
||||
)
|
||||
.set_stored();
|
||||
).set_stored();
|
||||
let text_field = schema_builder.add_text_field("text", text_fieldtype);
|
||||
let score_fieldtype = schema::IntOptions::default().set_fast(Cardinality::SingleValue);
|
||||
let score_field = schema_builder.add_u64_field("score", score_fieldtype);
|
||||
@@ -746,32 +742,27 @@ mod tests {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let get_doc_ids = |terms: Vec<Term>| {
|
||||
let mut collector = TestCollector::default();
|
||||
let query = BooleanQuery::new_multiterms_query(terms);
|
||||
let top_docs = searcher.search(&query, &TestCollector).unwrap();
|
||||
top_docs.docs().to_vec()
|
||||
assert!(searcher.search(&query, &mut collector).is_ok());
|
||||
collector.docs()
|
||||
};
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "a")]),
|
||||
vec![DocAddress(0, 1), DocAddress(0, 2), DocAddress(0, 4)]
|
||||
vec![1, 2, 4]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "af")]),
|
||||
vec![DocAddress(0, 0), DocAddress(0, 3)]
|
||||
vec![0, 3]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "g")]),
|
||||
vec![DocAddress(0, 4)]
|
||||
vec![4]
|
||||
);
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "b")]),
|
||||
vec![
|
||||
DocAddress(0, 0),
|
||||
DocAddress(0, 1),
|
||||
DocAddress(0, 2),
|
||||
DocAddress(0, 3),
|
||||
DocAddress(0, 4)
|
||||
]
|
||||
vec![0, 1, 2, 3, 4]
|
||||
);
|
||||
}
|
||||
{
|
||||
@@ -797,18 +788,17 @@ mod tests {
|
||||
{
|
||||
let get_fast_vals = |terms: Vec<Term>| {
|
||||
let query = BooleanQuery::new_multiterms_query(terms);
|
||||
searcher
|
||||
.search(&query, &FastFieldTestCollector::for_field(score_field))
|
||||
.unwrap()
|
||||
let mut collector = FastFieldTestCollector::for_field(score_field);
|
||||
assert!(searcher.search(&query, &mut collector).is_ok());
|
||||
collector.vals()
|
||||
};
|
||||
let get_fast_vals_bytes = |terms: Vec<Term>| {
|
||||
let query = BooleanQuery::new_multiterms_query(terms);
|
||||
let mut collector = BytesFastFieldTestCollector::for_field(bytes_score_field);
|
||||
searcher
|
||||
.search(
|
||||
&query,
|
||||
&BytesFastFieldTestCollector::for_field(bytes_score_field),
|
||||
)
|
||||
.expect("failed to search")
|
||||
.search(&query, &mut collector)
|
||||
.expect("failed to search");
|
||||
collector.vals()
|
||||
};
|
||||
assert_eq!(
|
||||
get_fast_vals(vec![Term::from_field_text(text_field, "a")]),
|
||||
@@ -824,12 +814,11 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_index_merger_with_deletes() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let text_fieldtype = schema::TextOptions::default()
|
||||
.set_indexing_options(
|
||||
TextFieldIndexing::default().set_index_option(IndexRecordOption::WithFreqs),
|
||||
)
|
||||
.set_stored();
|
||||
).set_stored();
|
||||
let text_field = schema_builder.add_text_field("text", text_fieldtype);
|
||||
let score_fieldtype = schema::IntOptions::default().set_fast(Cardinality::SingleValue);
|
||||
let score_field = schema_builder.add_u64_field("score", score_fieldtype);
|
||||
@@ -838,13 +827,21 @@ mod tests {
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
|
||||
let search_term = |searcher: &Searcher, term: Term| {
|
||||
let collector = FastFieldTestCollector::for_field(score_field);
|
||||
let bytes_collector = BytesFastFieldTestCollector::for_field(bytes_score_field);
|
||||
let mut collector = FastFieldTestCollector::for_field(score_field);
|
||||
let mut bytes_collector = BytesFastFieldTestCollector::for_field(bytes_score_field);
|
||||
let term_query = TermQuery::new(term, IndexRecordOption::Basic);
|
||||
let (scores, bytes) = searcher
|
||||
.search(&term_query, &(collector, bytes_collector))
|
||||
.unwrap();
|
||||
let mut score_bytes = Cursor::new(bytes);
|
||||
|
||||
{
|
||||
let mut combined_collector =
|
||||
chain().push(&mut collector).push(&mut bytes_collector);
|
||||
searcher
|
||||
.search(&term_query, &mut combined_collector)
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
let scores = collector.vals();
|
||||
|
||||
let mut score_bytes = Cursor::new(bytes_collector.vals());
|
||||
for &score in &scores {
|
||||
assert_eq!(score as u32, score_bytes.read_u32::<BigEndian>().unwrap());
|
||||
}
|
||||
@@ -857,21 +854,21 @@ mod tests {
|
||||
{
|
||||
// a first commit
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "a b d",
|
||||
score_field => 1u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 1],
|
||||
));
|
||||
text_field => "a b d",
|
||||
score_field => 1u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 1],
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "b c",
|
||||
score_field => 2u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 2],
|
||||
));
|
||||
text_field => "b c",
|
||||
score_field => 2u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 2],
|
||||
));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "c d",
|
||||
score_field => 3u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 3],
|
||||
));
|
||||
text_field => "c d",
|
||||
score_field => 3u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 3],
|
||||
));
|
||||
index_writer.commit().expect("committed");
|
||||
index.load_searchers().unwrap();
|
||||
let ref searcher = *index.searcher();
|
||||
@@ -898,37 +895,37 @@ mod tests {
|
||||
{
|
||||
// a second commit
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "a d e",
|
||||
score_field => 4_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 4],
|
||||
));
|
||||
text_field => "a d e",
|
||||
score_field => 4_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 4],
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "e f",
|
||||
score_field => 5_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 5],
|
||||
));
|
||||
text_field => "e f",
|
||||
score_field => 5_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 0, 5],
|
||||
));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "a"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "f"));
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "f g",
|
||||
score_field => 6_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 23, 112],
|
||||
));
|
||||
text_field => "f g",
|
||||
score_field => 6_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 23, 112],
|
||||
));
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "g h",
|
||||
score_field => 7_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 27, 88],
|
||||
));
|
||||
text_field => "g h",
|
||||
score_field => 7_000u64,
|
||||
bytes_score_field => vec![0u8, 0, 27, 88],
|
||||
));
|
||||
index_writer.commit().expect("committed");
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
|
||||
assert_eq!(searcher.segment_readers().len(), 2);
|
||||
assert_eq!(searcher.num_docs(), 3);
|
||||
assert_eq!(searcher.segment_readers()[0].num_docs(), 2);
|
||||
assert_eq!(searcher.segment_readers()[0].max_doc(), 4);
|
||||
assert_eq!(searcher.segment_readers()[1].num_docs(), 1);
|
||||
assert_eq!(searcher.segment_readers()[1].max_doc(), 3);
|
||||
assert_eq!(searcher.segment_readers()[0].num_docs(), 1);
|
||||
assert_eq!(searcher.segment_readers()[0].max_doc(), 3);
|
||||
assert_eq!(searcher.segment_readers()[1].num_docs(), 2);
|
||||
assert_eq!(searcher.segment_readers()[1].max_doc(), 4);
|
||||
assert_eq!(
|
||||
search_term(&searcher, Term::from_field_text(text_field, "a")),
|
||||
empty_vec
|
||||
@@ -962,15 +959,15 @@ mod tests {
|
||||
.segment_reader(0)
|
||||
.fast_field_reader::<u64>(score_field)
|
||||
.unwrap();
|
||||
assert_eq!(score_field_reader.min_value(), 4000);
|
||||
assert_eq!(score_field_reader.max_value(), 7000);
|
||||
assert_eq!(score_field_reader.min_value(), 1);
|
||||
assert_eq!(score_field_reader.max_value(), 3);
|
||||
|
||||
let score_field_reader = searcher
|
||||
.segment_reader(1)
|
||||
.fast_field_reader::<u64>(score_field)
|
||||
.unwrap();
|
||||
assert_eq!(score_field_reader.min_value(), 1);
|
||||
assert_eq!(score_field_reader.max_value(), 3);
|
||||
assert_eq!(score_field_reader.min_value(), 4000);
|
||||
assert_eq!(score_field_reader.max_value(), 7000);
|
||||
}
|
||||
{
|
||||
// merging the segments
|
||||
@@ -1143,9 +1140,10 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_merge_facets() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let facet_field = schema_builder.add_facet_field("facet");
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
use schema::Facet;
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
let index_doc = |index_writer: &mut IndexWriter, doc_facets: &[&str]| {
|
||||
@@ -1174,16 +1172,20 @@ mod tests {
|
||||
index_doc(&mut index_writer, &["/top/e", "/top/f"]);
|
||||
index_writer.commit().expect("committed");
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
let test_searcher = |expected_num_docs: usize, expected: &[(&str, u64)]| {
|
||||
let searcher = index.searcher();
|
||||
let mut facet_collector = FacetCollector::for_field(facet_field);
|
||||
facet_collector.add_facet(Facet::from("/top"));
|
||||
let (count, facet_counts) = searcher
|
||||
.search(&AllQuery, &(Count, facet_collector))
|
||||
.unwrap();
|
||||
assert_eq!(count, expected_num_docs);
|
||||
use collector::{CountCollector, MultiCollector};
|
||||
let mut count_collector = CountCollector::default();
|
||||
{
|
||||
let mut multi_collectors =
|
||||
MultiCollector::from(vec![&mut count_collector, &mut facet_collector]);
|
||||
searcher.search(&AllQuery, &mut multi_collectors).unwrap();
|
||||
}
|
||||
assert_eq!(count_collector.count(), expected_num_docs);
|
||||
let facet_counts = facet_collector.harvest();
|
||||
let facets: Vec<(String, u64)> = facet_counts
|
||||
.get("/top")
|
||||
.map(|(facet, count)| (facet.to_string(), count))
|
||||
@@ -1207,6 +1209,7 @@ mod tests {
|
||||
("/top/f", 1),
|
||||
],
|
||||
);
|
||||
|
||||
// Merging the segments
|
||||
{
|
||||
let segment_ids = index
|
||||
@@ -1219,6 +1222,7 @@ mod tests {
|
||||
.wait()
|
||||
.expect("Merging failed");
|
||||
index_writer.wait_merging_threads().unwrap();
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
test_searcher(
|
||||
11,
|
||||
@@ -1257,7 +1261,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_merge_multivalued_int_fields_all_deleted() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let int_options = IntOptions::default()
|
||||
.set_fast(Cardinality::MultiValues)
|
||||
.set_indexed();
|
||||
@@ -1298,7 +1302,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_merge_multivalued_int_fields() {
|
||||
let mut schema_builder = schema::Schema::builder();
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let int_options = IntOptions::default()
|
||||
.set_fast(Cardinality::MultiValues)
|
||||
.set_indexed();
|
||||
@@ -1364,30 +1368,21 @@ mod tests {
|
||||
assert_eq!(&vals, &[17]);
|
||||
}
|
||||
|
||||
println!(
|
||||
"{:?}",
|
||||
searcher
|
||||
.segment_readers()
|
||||
.iter()
|
||||
.map(|reader| reader.max_doc())
|
||||
.collect::<Vec<_>>()
|
||||
);
|
||||
|
||||
{
|
||||
let segment = searcher.segment_reader(1u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
ff_reader.get_vals(0, &mut vals);
|
||||
assert_eq!(&vals, &[28, 27]);
|
||||
|
||||
ff_reader.get_vals(1, &mut vals);
|
||||
assert_eq!(&vals, &[1_000]);
|
||||
assert_eq!(&vals, &[20]);
|
||||
}
|
||||
|
||||
{
|
||||
let segment = searcher.segment_reader(2u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
ff_reader.get_vals(0, &mut vals);
|
||||
assert_eq!(&vals, &[20]);
|
||||
assert_eq!(&vals, &[28, 27]);
|
||||
|
||||
ff_reader.get_vals(1, &mut vals);
|
||||
assert_eq!(&vals, &[1_000]);
|
||||
}
|
||||
|
||||
// Merging the segments
|
||||
@@ -1408,14 +1403,6 @@ mod tests {
|
||||
|
||||
{
|
||||
let searcher = index.searcher();
|
||||
println!(
|
||||
"{:?}",
|
||||
searcher
|
||||
.segment_readers()
|
||||
.iter()
|
||||
.map(|reader| reader.max_doc())
|
||||
.collect::<Vec<_>>()
|
||||
);
|
||||
let segment = searcher.segment_reader(0u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
|
||||
@@ -1441,13 +1428,13 @@ mod tests {
|
||||
assert_eq!(&vals, &[17]);
|
||||
|
||||
ff_reader.get_vals(7, &mut vals);
|
||||
assert_eq!(&vals, &[28, 27]);
|
||||
assert_eq!(&vals, &[20]);
|
||||
|
||||
ff_reader.get_vals(8, &mut vals);
|
||||
assert_eq!(&vals, &[1_000]);
|
||||
assert_eq!(&vals, &[28, 27]);
|
||||
|
||||
ff_reader.get_vals(9, &mut vals);
|
||||
assert_eq!(&vals, &[20]);
|
||||
assert_eq!(&vals, &[1_000]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -138,7 +138,7 @@ struct InnerSegmentUpdater {
|
||||
}
|
||||
|
||||
impl SegmentUpdater {
|
||||
pub fn create(
|
||||
pub fn new(
|
||||
index: Index,
|
||||
stamper: Stamper,
|
||||
delete_cursor: &DeleteCursor,
|
||||
@@ -195,8 +195,7 @@ impl SegmentUpdater {
|
||||
segment_updater.0.segment_manager.add_segment(segment_entry);
|
||||
segment_updater.consider_merge_options();
|
||||
true
|
||||
})
|
||||
.forget();
|
||||
}).forget();
|
||||
true
|
||||
} else {
|
||||
false
|
||||
@@ -228,38 +227,20 @@ impl SegmentUpdater {
|
||||
if self.is_alive() {
|
||||
let index = &self.0.index;
|
||||
let directory = index.directory();
|
||||
let mut commited_segment_metas = self.0.segment_manager.committed_segment_metas();
|
||||
|
||||
// We sort segment_readers by number of documents.
|
||||
// This is an heuristic to make multithreading more efficient.
|
||||
//
|
||||
// This is not done at the searcher level because I had a strange
|
||||
// use case in which I was dealing with a large static index,
|
||||
// dispatched over 5 SSD drives.
|
||||
//
|
||||
// A `UnionDirectory` makes it possible to read from these
|
||||
// 5 different drives and creates a meta.json on the fly.
|
||||
// In order to optimize the throughput, it creates a lasagna of segments
|
||||
// from the different drives.
|
||||
//
|
||||
// Segment 1 from disk 1, Segment 1 from disk 2, etc.
|
||||
commited_segment_metas.sort_by_key(|segment_meta| -(segment_meta.max_doc() as i32));
|
||||
save_metas(
|
||||
commited_segment_metas,
|
||||
self.0.segment_manager.committed_segment_metas(),
|
||||
index.schema(),
|
||||
opstamp,
|
||||
commit_message,
|
||||
directory.box_clone().borrow_mut(),
|
||||
)
|
||||
.expect("Could not save metas.");
|
||||
).expect("Could not save metas.");
|
||||
}
|
||||
}
|
||||
|
||||
pub fn garbage_collect_files(&self) -> Result<()> {
|
||||
self.run_async(move |segment_updater| {
|
||||
segment_updater.garbage_collect_files_exec();
|
||||
})
|
||||
.wait()
|
||||
}).wait()
|
||||
}
|
||||
|
||||
fn garbage_collect_files_exec(&self) {
|
||||
@@ -281,8 +262,7 @@ impl SegmentUpdater {
|
||||
segment_updater.garbage_collect_files_exec();
|
||||
segment_updater.consider_merge_options();
|
||||
}
|
||||
})
|
||||
.wait()
|
||||
}).wait()
|
||||
}
|
||||
|
||||
pub fn start_merge(&self, segment_ids: &[SegmentId]) -> Result<Receiver<SegmentMeta>> {
|
||||
@@ -290,8 +270,7 @@ impl SegmentUpdater {
|
||||
let segment_ids_vec = segment_ids.to_vec();
|
||||
self.run_async(move |segment_updater| {
|
||||
segment_updater.start_merge_impl(&segment_ids_vec[..])
|
||||
})
|
||||
.wait()?
|
||||
}).wait()?
|
||||
}
|
||||
|
||||
// `segment_ids` is required to be non-empty.
|
||||
@@ -357,8 +336,7 @@ impl SegmentUpdater {
|
||||
.unwrap()
|
||||
.remove(&merging_thread_id);
|
||||
Ok(())
|
||||
})
|
||||
.expect("Failed to spawn a thread.");
|
||||
}).expect("Failed to spawn a thread.");
|
||||
self.0
|
||||
.merging_threads
|
||||
.write()
|
||||
@@ -449,8 +427,7 @@ impl SegmentUpdater {
|
||||
let previous_metas = segment_updater.0.index.load_metas().unwrap();
|
||||
segment_updater.save_metas(previous_metas.opstamp, previous_metas.payload);
|
||||
segment_updater.garbage_collect_files_exec();
|
||||
})
|
||||
.wait()
|
||||
}).wait()
|
||||
}
|
||||
|
||||
/// Wait for current merging threads.
|
||||
@@ -507,7 +484,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_delete_during_merge() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
|
||||
@@ -62,8 +62,7 @@ impl SegmentWriter {
|
||||
segment.index().tokenizers().get(tokenizer_name)
|
||||
}),
|
||||
_ => None,
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
Ok(SegmentWriter {
|
||||
max_doc: 0,
|
||||
multifield_postings,
|
||||
@@ -118,8 +117,7 @@ impl SegmentWriter {
|
||||
_ => {
|
||||
panic!("Expected hierarchical facet");
|
||||
}
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
let mut term = Term::for_field(field); // we set the Term
|
||||
for facet_bytes in facets {
|
||||
let mut unordered_term_id_opt = None;
|
||||
@@ -147,8 +145,7 @@ impl SegmentWriter {
|
||||
.flat_map(|field_value| match *field_value.value() {
|
||||
Value::Str(ref text) => Some(text.as_str()),
|
||||
_ => None,
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
if texts.is_empty() {
|
||||
0
|
||||
} else {
|
||||
|
||||
266
src/lib.rs
266
src/lib.rs
@@ -1,5 +1,6 @@
|
||||
#![doc(html_logo_url = "http://fulmicoton.com/tantivy-logo/tantivy-logo.png")]
|
||||
#![cfg_attr(all(feature = "unstable", test), feature(test))]
|
||||
#![cfg_attr(feature = "cargo-clippy", feature(tool_lints))]
|
||||
#![cfg_attr(feature = "cargo-clippy", allow(clippy::module_inception))]
|
||||
#![doc(test(attr(allow(unused_variables), deny(warnings))))]
|
||||
#![warn(missing_docs)]
|
||||
@@ -23,8 +24,7 @@
|
||||
//! # use tempdir::TempDir;
|
||||
//! # use tantivy::Index;
|
||||
//! # use tantivy::schema::*;
|
||||
//! # use tantivy::{Score, DocAddress};
|
||||
//! # use tantivy::collector::TopDocs;
|
||||
//! # use tantivy::collector::TopCollector;
|
||||
//! # use tantivy::query::QueryParser;
|
||||
//! #
|
||||
//! # fn main() {
|
||||
@@ -46,7 +46,7 @@
|
||||
//! // in a compressed, row-oriented key-value store.
|
||||
//! // This store is useful to reconstruct the
|
||||
//! // documents that were selected during the search phase.
|
||||
//! let mut schema_builder = Schema::builder();
|
||||
//! let mut schema_builder = SchemaBuilder::default();
|
||||
//! let title = schema_builder.add_text_field("title", TEXT | STORED);
|
||||
//! let body = schema_builder.add_text_field("body", TEXT);
|
||||
//! let schema = schema_builder.build();
|
||||
@@ -86,13 +86,13 @@
|
||||
//! // A ticket has been opened regarding this problem.
|
||||
//! let query = query_parser.parse_query("sea whale")?;
|
||||
//!
|
||||
//! // Perform search.
|
||||
//! // `topdocs` contains the 10 most relevant doc ids, sorted by decreasing scores...
|
||||
//! let top_docs: Vec<(Score, DocAddress)> =
|
||||
//! searcher.search(&query, &TopDocs::with_limit(10))?;
|
||||
//! let mut top_collector = TopCollector::with_limit(10);
|
||||
//! searcher.search(&*query, &mut top_collector)?;
|
||||
//!
|
||||
//! for (_score, doc_address) in top_docs {
|
||||
//! // Retrieve the actual content of documents given its `doc_address`.
|
||||
//! // Our top collector now contains the 10
|
||||
//! // most relevant doc ids...
|
||||
//! let doc_addresses = top_collector.docs();
|
||||
//! for doc_address in doc_addresses {
|
||||
//! let retrieved_doc = searcher.doc(doc_address)?;
|
||||
//! println!("{}", schema.to_json(&retrieved_doc));
|
||||
//! }
|
||||
@@ -129,14 +129,14 @@ extern crate base64;
|
||||
extern crate bit_set;
|
||||
extern crate bitpacking;
|
||||
extern crate byteorder;
|
||||
extern crate scoped_pool;
|
||||
|
||||
extern crate combine;
|
||||
|
||||
extern crate crossbeam;
|
||||
extern crate crossbeam_channel;
|
||||
extern crate fnv;
|
||||
extern crate fst;
|
||||
extern crate fst_regex;
|
||||
|
||||
extern crate futures;
|
||||
extern crate futures_cpupool;
|
||||
extern crate htmlescape;
|
||||
@@ -152,6 +152,8 @@ extern crate tempdir;
|
||||
extern crate tempfile;
|
||||
extern crate uuid;
|
||||
|
||||
|
||||
|
||||
#[cfg(test)]
|
||||
#[macro_use]
|
||||
extern crate matches;
|
||||
@@ -183,7 +185,10 @@ mod macros;
|
||||
|
||||
pub use error::TantivyError;
|
||||
|
||||
#[deprecated(since = "0.7.0", note = "please use `tantivy::TantivyError` instead")]
|
||||
#[deprecated(
|
||||
since = "0.7.0",
|
||||
note = "please use `tantivy::TantivyError` instead"
|
||||
)]
|
||||
pub use error::TantivyError as Error;
|
||||
|
||||
extern crate census;
|
||||
@@ -208,12 +213,11 @@ pub(crate) mod positions;
|
||||
pub mod postings;
|
||||
pub mod query;
|
||||
pub mod schema;
|
||||
pub mod space_usage;
|
||||
pub mod store;
|
||||
pub mod termdict;
|
||||
|
||||
mod snippet;
|
||||
pub use self::snippet::{Snippet, SnippetGenerator};
|
||||
pub use self::snippet::SnippetGenerator;
|
||||
|
||||
mod docset;
|
||||
pub use self::docset::{DocSet, SkipResult};
|
||||
@@ -296,11 +300,9 @@ mod tests {
|
||||
use docset::DocSet;
|
||||
use query::BooleanQuery;
|
||||
use rand::distributions::Bernoulli;
|
||||
use rand::distributions::Uniform;
|
||||
use rand::rngs::StdRng;
|
||||
use rand::{Rng, SeedableRng};
|
||||
use rand::distributions::Range;
|
||||
use rand::{Rng, SeedableRng, XorShiftRng};
|
||||
use schema::*;
|
||||
use DocAddress;
|
||||
use Index;
|
||||
use IndexWriter;
|
||||
use Postings;
|
||||
@@ -319,15 +321,16 @@ mod tests {
|
||||
}
|
||||
|
||||
pub fn generate_nonunique_unsorted(max_value: u32, n_elems: usize) -> Vec<u32> {
|
||||
let seed: [u8; 32] = [1; 32];
|
||||
StdRng::from_seed(seed)
|
||||
.sample_iter(&Uniform::new(0u32, max_value))
|
||||
let seed: [u8; 16] = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
|
||||
XorShiftRng::from_seed(seed)
|
||||
.sample_iter(&Range::new(0u32, max_value))
|
||||
.take(n_elems)
|
||||
.collect::<Vec<u32>>()
|
||||
}
|
||||
|
||||
pub fn sample_with_seed(n: u32, ratio: f64, seed_val: u8) -> Vec<u32> {
|
||||
StdRng::from_seed([seed_val; 32])
|
||||
let seed: [u8; 16] = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, seed_val];
|
||||
XorShiftRng::from_seed(seed)
|
||||
.sample_iter(&Bernoulli::new(ratio))
|
||||
.take(n as usize)
|
||||
.enumerate()
|
||||
@@ -342,7 +345,7 @@ mod tests {
|
||||
#[test]
|
||||
#[cfg(feature = "mmap")]
|
||||
fn test_indexing() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_from_tempdir(schema).unwrap();
|
||||
@@ -367,7 +370,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_docfreq1() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
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, 40_000_000).unwrap();
|
||||
@@ -407,7 +410,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_fieldnorm_no_docs_with_field() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
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());
|
||||
@@ -436,7 +439,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_fieldnorm() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
{
|
||||
@@ -477,7 +480,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_delete_postings1() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let term_abcd = Term::from_field_text(text_field, "abcd");
|
||||
let term_a = Term::from_field_text(text_field, "a");
|
||||
@@ -488,21 +491,42 @@ mod tests {
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
// 0
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
// 1
|
||||
index_writer.add_document(doc!(text_field=>" a c"));
|
||||
// 2
|
||||
index_writer.add_document(doc!(text_field=>" b c"));
|
||||
// 3
|
||||
index_writer.add_document(doc!(text_field=>" b d"));
|
||||
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "a"));
|
||||
// 4
|
||||
index_writer.add_document(doc!(text_field=>" b c"));
|
||||
// 5
|
||||
index_writer.add_document(doc!(text_field=>" a"));
|
||||
{
|
||||
// 0
|
||||
let doc = doc!(text_field=>"a b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 1
|
||||
let doc = doc!(text_field=>" a c");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 2
|
||||
let doc = doc!(text_field=>" b c");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 3
|
||||
let doc = doc!(text_field=>" b d");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
}
|
||||
{
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "a"));
|
||||
}
|
||||
{
|
||||
// 4
|
||||
let doc = doc!(text_field=>" b c");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 5
|
||||
let doc = doc!(text_field=>" a");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
{
|
||||
@@ -510,9 +534,11 @@ mod tests {
|
||||
let searcher = index.searcher();
|
||||
let reader = searcher.segment_reader(0);
|
||||
let inverted_index = reader.inverted_index(text_field);
|
||||
assert!(inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none());
|
||||
assert!(
|
||||
inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none()
|
||||
);
|
||||
{
|
||||
let mut postings = inverted_index
|
||||
.read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions)
|
||||
@@ -535,10 +561,15 @@ mod tests {
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
// 0
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
// 1
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
{
|
||||
// 0
|
||||
let doc = doc!(text_field=>"a b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 1
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
}
|
||||
index_writer.rollback().unwrap();
|
||||
}
|
||||
{
|
||||
@@ -547,9 +578,11 @@ mod tests {
|
||||
let reader = searcher.segment_reader(0);
|
||||
let inverted_index = reader.inverted_index(term_abcd.field());
|
||||
|
||||
assert!(inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none());
|
||||
assert!(
|
||||
inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none()
|
||||
);
|
||||
{
|
||||
let mut postings = inverted_index
|
||||
.read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions)
|
||||
@@ -572,8 +605,13 @@ mod tests {
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"a b"));
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
{
|
||||
let doc = doc!(text_field=>"a b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "c"));
|
||||
}
|
||||
index_writer.rollback().unwrap();
|
||||
index_writer.delete_term(Term::from_field_text(text_field, "a"));
|
||||
index_writer.commit().unwrap();
|
||||
@@ -583,9 +621,11 @@ mod tests {
|
||||
let searcher = index.searcher();
|
||||
let reader = searcher.segment_reader(0);
|
||||
let inverted_index = reader.inverted_index(term_abcd.field());
|
||||
assert!(inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none());
|
||||
assert!(
|
||||
inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none()
|
||||
);
|
||||
{
|
||||
let mut postings = inverted_index
|
||||
.read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions)
|
||||
@@ -615,7 +655,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_indexed_u64() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_u64_field("value", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
@@ -638,7 +678,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_indexed_i64() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let value_field = schema_builder.add_i64_field("value", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
@@ -662,7 +702,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_indexedfield_not_in_documents() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
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();
|
||||
@@ -678,7 +718,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_delete_postings2() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -714,7 +754,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_termfreq() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -733,9 +773,11 @@ mod tests {
|
||||
let reader = searcher.segment_reader(0);
|
||||
let inverted_index = reader.inverted_index(text_field);
|
||||
let term_abcd = Term::from_field_text(text_field, "abcd");
|
||||
assert!(inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none());
|
||||
assert!(
|
||||
inverted_index
|
||||
.read_postings(&term_abcd, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none()
|
||||
);
|
||||
let term_af = Term::from_field_text(text_field, "af");
|
||||
let mut postings = inverted_index
|
||||
.read_postings(&term_af, IndexRecordOption::WithFreqsAndPositions)
|
||||
@@ -749,7 +791,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_searcher_1() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -757,9 +799,18 @@ mod tests {
|
||||
{
|
||||
// writing the segment
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_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"));
|
||||
{
|
||||
let doc = doc!(text_field=>"af af af b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
let doc = doc!(text_field=>"a b c");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
let doc = doc!(text_field=>"a b c d");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
{
|
||||
@@ -767,42 +818,55 @@ mod tests {
|
||||
let searcher = index.searcher();
|
||||
let get_doc_ids = |terms: Vec<Term>| {
|
||||
let query = BooleanQuery::new_multiterms_query(terms);
|
||||
let topdocs = searcher.search(&query, &TestCollector).unwrap();
|
||||
topdocs.docs().to_vec()
|
||||
let mut collector = TestCollector::default();
|
||||
assert!(searcher.search(&query, &mut collector).is_ok());
|
||||
collector.docs()
|
||||
};
|
||||
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)]
|
||||
);
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "a")]),
|
||||
vec![1, 2]
|
||||
);
|
||||
}
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "af")]),
|
||||
vec![0]
|
||||
);
|
||||
}
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "b")]),
|
||||
vec![0, 1, 2]
|
||||
);
|
||||
}
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "c")]),
|
||||
vec![1, 2]
|
||||
);
|
||||
}
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![Term::from_field_text(text_field, "d")]),
|
||||
vec![2]
|
||||
);
|
||||
}
|
||||
{
|
||||
assert_eq!(
|
||||
get_doc_ids(vec![
|
||||
Term::from_field_text(text_field, "b"),
|
||||
Term::from_field_text(text_field, "a"),
|
||||
]),
|
||||
vec![0, 1, 2]
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_searcher_2() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -829,7 +893,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_doc_macro() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let other_text_field = schema_builder.add_text_field("text2", TEXT);
|
||||
let document = doc!(text_field => "tantivy",
|
||||
@@ -847,7 +911,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_wrong_fast_field_type() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let fast_field_unsigned = schema_builder.add_u64_field("unsigned", FAST);
|
||||
let fast_field_signed = schema_builder.add_i64_field("signed", FAST);
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
|
||||
@@ -26,12 +26,12 @@
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
///
|
||||
/// use tantivy::schema::{Schema, TEXT, FAST};
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT, FAST};
|
||||
///
|
||||
/// //...
|
||||
///
|
||||
/// # fn main() {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let author = schema_builder.add_text_field("text", TEXT);
|
||||
/// let likes = schema_builder.add_u64_field("num_u64", FAST);
|
||||
@@ -67,33 +67,33 @@ macro_rules! doc(
|
||||
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use schema::{Schema, FAST, TEXT};
|
||||
use schema::{SchemaBuilder, FAST, TEXT};
|
||||
|
||||
#[test]
|
||||
fn test_doc_basic() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let author = schema_builder.add_text_field("text", TEXT);
|
||||
let likes = schema_builder.add_u64_field("num_u64", FAST);
|
||||
let _schema = schema_builder.build();
|
||||
let _doc = doc!(
|
||||
title => "Life Aquatic",
|
||||
author => "Wes Anderson",
|
||||
likes => 4u64
|
||||
);
|
||||
title => "Life Aquatic",
|
||||
author => "Wes Anderson",
|
||||
likes => 4u64
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_doc_trailing_comma() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let author = schema_builder.add_text_field("text", TEXT);
|
||||
let likes = schema_builder.add_u64_field("num_u64", FAST);
|
||||
let _schema = schema_builder.build();
|
||||
let _doc = doc!(
|
||||
title => "Life Aquatic",
|
||||
author => "Wes Anderson",
|
||||
likes => 4u64,
|
||||
);
|
||||
title => "Life Aquatic",
|
||||
author => "Wes Anderson",
|
||||
likes => 4u64,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -266,17 +266,21 @@ pub mod tests {
|
||||
mod bench {
|
||||
|
||||
use super::*;
|
||||
use rand::Rng;
|
||||
use rand::SeedableRng;
|
||||
use rand::{Rng, XorShiftRng};
|
||||
use rand::XorShiftRng;
|
||||
use test::Bencher;
|
||||
|
||||
fn generate_array_with_seed(n: usize, ratio: f64, seed_val: u8) -> Vec<u32> {
|
||||
let seed: &[u8; 16] = &[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, seed_val];
|
||||
fn generate_array_with_seed(n: usize, ratio: f32, seed_val: u32) -> Vec<u32> {
|
||||
let seed: &[u32; 4] = &[1, 2, 3, seed_val];
|
||||
let mut rng: XorShiftRng = XorShiftRng::from_seed(*seed);
|
||||
(0u32..).filter(|_| rng.gen_bool(ratio)).take(n).collect()
|
||||
(0..u32::max_value())
|
||||
.filter(|_| rng.next_f32() < ratio)
|
||||
.take(n)
|
||||
.collect()
|
||||
}
|
||||
|
||||
pub fn generate_array(n: usize, ratio: f64) -> Vec<u32> {
|
||||
pub fn generate_array(n: usize, ratio: f32) -> Vec<u32> {
|
||||
generate_array_with_seed(n, ratio, 4)
|
||||
}
|
||||
|
||||
@@ -293,23 +297,24 @@ mod bench {
|
||||
fn bench_uncompress(b: &mut Bencher) {
|
||||
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 (_, compressed) = encoder.compress_block_sorted(&data, 0u32);
|
||||
let mut decoder = BlockDecoder::new();
|
||||
b.iter(|| {
|
||||
decoder.uncompress_block_sorted(compressed, 0u32, num_bits);
|
||||
decoder.uncompress_block_sorted(compressed, 0u32);
|
||||
});
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_all_docs_compression_numbits() {
|
||||
for expected_num_bits in 0u8.. {
|
||||
for num_bits in 0..33 {
|
||||
let mut data = [0u32; 128];
|
||||
if expected_num_bits > 0 {
|
||||
data[0] = (1u64 << (expected_num_bits as usize) - 1) as u32;
|
||||
if num_bits > 0 {
|
||||
data[0] = 1 << (num_bits - 1);
|
||||
}
|
||||
let mut encoder = BlockEncoder::new();
|
||||
let (num_bits, compressed) = encoder.compress_block_unsorted(&data);
|
||||
assert_eq!(compressed.len(), compressed_block_size(num_bits));
|
||||
let compressed = encoder.compress_block_unsorted(&data);
|
||||
assert_eq!(compressed[0] as usize, num_bits);
|
||||
assert_eq!(compressed.len(), compressed_block_size(compressed[0]));
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -54,18 +54,17 @@ pub mod tests {
|
||||
use indexer::operation::AddOperation;
|
||||
use indexer::SegmentWriter;
|
||||
use query::Scorer;
|
||||
use rand::rngs::StdRng;
|
||||
use rand::{Rng, SeedableRng};
|
||||
use rand::{Rng, SeedableRng, XorShiftRng};
|
||||
use schema::Field;
|
||||
use schema::IndexRecordOption;
|
||||
use schema::{Document, Schema, Term, INT_INDEXED, STRING, TEXT};
|
||||
use schema::{Document, SchemaBuilder, Term, INT_INDEXED, STRING, TEXT};
|
||||
use std::iter;
|
||||
use DocId;
|
||||
use Score;
|
||||
|
||||
#[test]
|
||||
pub fn test_position_write() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -89,7 +88,7 @@ pub mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_skip_positions() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -164,7 +163,7 @@ pub mod tests {
|
||||
#[test]
|
||||
pub fn test_position_and_fieldnorm1() {
|
||||
let mut positions = Vec::new();
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
@@ -221,10 +220,12 @@ pub mod tests {
|
||||
}
|
||||
{
|
||||
let term_a = Term::from_field_text(text_field, "abcdef");
|
||||
assert!(segment_reader
|
||||
.inverted_index(term_a.field())
|
||||
.read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none());
|
||||
assert!(
|
||||
segment_reader
|
||||
.inverted_index(term_a.field())
|
||||
.read_postings(&term_a, IndexRecordOption::WithFreqsAndPositions)
|
||||
.is_none()
|
||||
);
|
||||
}
|
||||
{
|
||||
let term_a = Term::from_field_text(text_field, "a");
|
||||
@@ -275,7 +276,7 @@ pub mod tests {
|
||||
#[test]
|
||||
pub fn test_position_and_fieldnorm2() {
|
||||
let mut positions: Vec<u32> = Vec::new();
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -316,7 +317,7 @@ pub mod tests {
|
||||
let num_docs = 300u32;
|
||||
|
||||
let index = {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let value_field = schema_builder.add_u64_field("value", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
@@ -497,11 +498,12 @@ pub mod tests {
|
||||
Term::from_field_text(field, "d")
|
||||
};
|
||||
pub static ref INDEX: Index = {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", STRING);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let mut rng: StdRng = StdRng::from_seed([1u8; 32]);
|
||||
let seed: [u8; 16] = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
|
||||
let mut rng: XorShiftRng = XorShiftRng::from_seed(seed);
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
let posting_list_size = 1_000_000;
|
||||
@@ -652,7 +654,7 @@ mod bench {
|
||||
});
|
||||
}
|
||||
|
||||
fn bench_skip_next(p: f64, b: &mut Bencher) {
|
||||
fn bench_skip_next(p: f32, b: &mut Bencher) {
|
||||
let searcher = INDEX.searcher();
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let docs = tests::sample(segment_reader.num_docs(), p);
|
||||
|
||||
@@ -29,8 +29,7 @@ fn posting_from_field_entry(field_entry: &FieldEntry) -> Box<PostingsWriter> {
|
||||
IndexRecordOption::WithFreqsAndPositions => {
|
||||
SpecializedPostingsWriter::<TFAndPositionRecorder>::new_boxed()
|
||||
}
|
||||
})
|
||||
.unwrap_or_else(|| SpecializedPostingsWriter::<NothingRecorder>::new_boxed()),
|
||||
}).unwrap_or_else(|| SpecializedPostingsWriter::<NothingRecorder>::new_boxed()),
|
||||
FieldType::U64(_) | FieldType::I64(_) | FieldType::HierarchicalFacet => {
|
||||
SpecializedPostingsWriter::<NothingRecorder>::new_boxed()
|
||||
}
|
||||
@@ -108,8 +107,10 @@ impl MultiFieldPostingsWriter {
|
||||
.map(|(key, _, _)| Term::wrap(key).field())
|
||||
.enumerate();
|
||||
|
||||
let mut unordered_term_mappings: HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>> =
|
||||
HashMap::new();
|
||||
let mut unordered_term_mappings: HashMap<
|
||||
Field,
|
||||
HashMap<UnorderedTermId, TermOrdinal>,
|
||||
> = HashMap::new();
|
||||
|
||||
let mut prev_field = Field(u32::max_value());
|
||||
for (offset, field) in term_offsets_it {
|
||||
@@ -137,8 +138,7 @@ impl MultiFieldPostingsWriter {
|
||||
.enumerate()
|
||||
.map(|(term_ord, unord_term_id)| {
|
||||
(unord_term_id as UnorderedTermId, term_ord as TermOrdinal)
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
unordered_term_mappings.insert(field, mapping);
|
||||
}
|
||||
FieldType::U64(_) | FieldType::I64(_) => {}
|
||||
|
||||
@@ -533,8 +533,7 @@ impl BlockSegmentPostings {
|
||||
} else {
|
||||
BlockSegmentPostingsSkipResult::Terminated
|
||||
}
|
||||
})
|
||||
.unwrap_or(BlockSegmentPostingsSkipResult::Terminated);
|
||||
}).unwrap_or(BlockSegmentPostingsSkipResult::Terminated);
|
||||
}
|
||||
BlockSegmentPostingsSkipResult::Terminated
|
||||
}
|
||||
@@ -631,7 +630,7 @@ mod tests {
|
||||
use docset::DocSet;
|
||||
use fst::Streamer;
|
||||
use schema::IndexRecordOption;
|
||||
use schema::Schema;
|
||||
use schema::SchemaBuilder;
|
||||
use schema::Term;
|
||||
use schema::INT_INDEXED;
|
||||
use DocId;
|
||||
@@ -708,7 +707,7 @@ mod tests {
|
||||
}
|
||||
|
||||
fn build_block_postings(docs: Vec<DocId>) -> BlockSegmentPostings {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let int_field = schema_builder.add_u64_field("id", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -779,7 +778,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_reset_block_segment_postings() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let int_field = schema_builder.add_u64_field("id", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
@@ -55,7 +55,7 @@ pub struct InvertedIndexSerializer {
|
||||
|
||||
impl InvertedIndexSerializer {
|
||||
/// Open a new `PostingsSerializer` for the given segment
|
||||
fn create(
|
||||
fn new(
|
||||
terms_write: CompositeWrite<WritePtr>,
|
||||
postings_write: CompositeWrite<WritePtr>,
|
||||
positions_write: CompositeWrite<WritePtr>,
|
||||
@@ -74,7 +74,7 @@ impl InvertedIndexSerializer {
|
||||
/// Open a new `PostingsSerializer` for the given segment
|
||||
pub fn open(segment: &mut Segment) -> Result<InvertedIndexSerializer> {
|
||||
use SegmentComponent::{POSITIONS, POSITIONSSKIP, POSTINGS, TERMS};
|
||||
InvertedIndexSerializer::create(
|
||||
InvertedIndexSerializer::new(
|
||||
CompositeWrite::wrap(segment.open_write(TERMS)?),
|
||||
CompositeWrite::wrap(segment.open_write(POSTINGS)?),
|
||||
CompositeWrite::wrap(segment.open_write(POSITIONS)?),
|
||||
@@ -99,7 +99,7 @@ impl InvertedIndexSerializer {
|
||||
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(
|
||||
FieldSerializer::new(
|
||||
&field_type,
|
||||
term_dictionary_write,
|
||||
postings_write,
|
||||
@@ -130,7 +130,7 @@ pub struct FieldSerializer<'a> {
|
||||
}
|
||||
|
||||
impl<'a> FieldSerializer<'a> {
|
||||
fn create(
|
||||
fn new(
|
||||
field_type: &FieldType,
|
||||
term_dictionary_write: &'a mut CountingWriter<WritePtr>,
|
||||
postings_write: &'a mut CountingWriter<WritePtr>,
|
||||
@@ -152,7 +152,7 @@ impl<'a> FieldSerializer<'a> {
|
||||
_ => (false, false),
|
||||
};
|
||||
let term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(term_dictionary_write, &field_type)?;
|
||||
TermDictionaryBuilder::new(term_dictionary_write, &field_type)?;
|
||||
let postings_serializer =
|
||||
PostingsSerializer::new(postings_write, term_freq_enabled, position_enabled);
|
||||
let positions_serializer_opt = if position_enabled {
|
||||
|
||||
@@ -174,8 +174,8 @@ mod tests {
|
||||
|
||||
#[cfg(all(test, feature = "unstable"))]
|
||||
mod bench {
|
||||
use super::super::MemoryArena;
|
||||
use super::ExpUnrolledLinkedList;
|
||||
use tantivy_memory_arena::MemoryArena;
|
||||
use test::Bencher;
|
||||
|
||||
const NUM_STACK: usize = 10_000;
|
||||
@@ -199,19 +199,20 @@ mod bench {
|
||||
|
||||
#[bench]
|
||||
fn bench_push_stack(bench: &mut Bencher) {
|
||||
let heap = MemoryArena::new();
|
||||
bench.iter(|| {
|
||||
let mut heap = MemoryArena::new();
|
||||
let mut stacks = Vec::with_capacity(100);
|
||||
for _ in 0..NUM_STACK {
|
||||
let mut stack = ExpUnrolledLinkedList::new(&mut heap);
|
||||
let (_, stack) = heap.allocate_object::<ExpUnrolledLinkedList>();
|
||||
stacks.push(stack);
|
||||
}
|
||||
for s in 0..NUM_STACK {
|
||||
for i in 0u32..STACK_SIZE {
|
||||
let t = s * 392017 % NUM_STACK;
|
||||
stacks[t].push(i, &mut heap);
|
||||
stacks[t].push(i, &heap);
|
||||
}
|
||||
}
|
||||
heap.clear();
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -86,12 +86,12 @@ mod tests {
|
||||
|
||||
use super::AllQuery;
|
||||
use query::Query;
|
||||
use schema::{Schema, TEXT};
|
||||
use schema::{SchemaBuilder, TEXT};
|
||||
use Index;
|
||||
|
||||
#[test]
|
||||
fn test_all_query() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
@@ -11,7 +11,7 @@ use Result;
|
||||
/// A weight struct for Fuzzy Term and Regex Queries
|
||||
pub struct AutomatonWeight<A>
|
||||
where
|
||||
A: Automaton + Send + Sync + 'static,
|
||||
A: Automaton,
|
||||
{
|
||||
field: Field,
|
||||
automaton: A,
|
||||
@@ -19,7 +19,7 @@ where
|
||||
|
||||
impl<A> AutomatonWeight<A>
|
||||
where
|
||||
A: Automaton + Send + Sync + 'static,
|
||||
A: Automaton,
|
||||
{
|
||||
/// Create a new AutomationWeight
|
||||
pub fn new(field: Field, automaton: A) -> AutomatonWeight<A> {
|
||||
@@ -34,7 +34,7 @@ where
|
||||
|
||||
impl<A> Weight for AutomatonWeight<A>
|
||||
where
|
||||
A: Automaton + Send + Sync + 'static,
|
||||
A: Automaton,
|
||||
{
|
||||
fn scorer(&self, reader: &SegmentReader) -> Result<Box<Scorer>> {
|
||||
let max_doc = reader.max_doc();
|
||||
|
||||
@@ -63,8 +63,7 @@ impl BM25Weight {
|
||||
.map(|term| {
|
||||
let term_doc_freq = searcher.doc_freq(term);
|
||||
idf(term_doc_freq, total_num_docs)
|
||||
})
|
||||
.sum::<f32>();
|
||||
}).sum::<f32>();
|
||||
BM25Weight::new(idf, average_fieldnorm)
|
||||
}
|
||||
|
||||
|
||||
@@ -47,8 +47,7 @@ impl Query for BooleanQuery {
|
||||
.iter()
|
||||
.map(|&(ref occur, ref subquery)| {
|
||||
Ok((*occur, subquery.weight(searcher, scoring_enabled)?))
|
||||
})
|
||||
.collect::<Result<_>>()?;
|
||||
}).collect::<Result<_>>()?;
|
||||
Ok(Box::new(BooleanWeight::new(sub_weights, scoring_enabled)))
|
||||
}
|
||||
|
||||
@@ -69,8 +68,7 @@ impl BooleanQuery {
|
||||
let term_query: Box<Query> =
|
||||
Box::new(TermQuery::new(term, IndexRecordOption::WithFreqs));
|
||||
(Occur::Should, term_query)
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
BooleanQuery::from(occur_term_queries)
|
||||
}
|
||||
|
||||
|
||||
@@ -19,11 +19,10 @@ mod tests {
|
||||
use query::Scorer;
|
||||
use query::TermQuery;
|
||||
use schema::*;
|
||||
use DocId;
|
||||
use Index;
|
||||
|
||||
fn aux_test_helper() -> (Index, Field) {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -131,13 +130,9 @@ mod tests {
|
||||
|
||||
let matching_docs = |boolean_query: &Query| {
|
||||
let searcher = index.searcher();
|
||||
let test_docs = searcher.search(boolean_query, &TestCollector).unwrap();
|
||||
test_docs
|
||||
.docs()
|
||||
.iter()
|
||||
.cloned()
|
||||
.map(|doc| doc.1)
|
||||
.collect::<Vec<DocId>>()
|
||||
let mut test_collector = TestCollector::default();
|
||||
searcher.search(boolean_query, &mut test_collector).unwrap();
|
||||
test_collector.docs()
|
||||
};
|
||||
|
||||
{
|
||||
@@ -191,8 +186,9 @@ mod tests {
|
||||
|
||||
let score_docs = |boolean_query: &Query| {
|
||||
let searcher = index.searcher();
|
||||
let fruit = searcher.search(boolean_query, &TestCollector).unwrap();
|
||||
fruit.scores().to_vec()
|
||||
let mut test_collector = TestCollector::default();
|
||||
searcher.search(boolean_query, &mut test_collector).unwrap();
|
||||
test_collector.scores()
|
||||
};
|
||||
|
||||
{
|
||||
|
||||
@@ -25,14 +25,14 @@ lazy_static! {
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{Schema, TEXT};
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result, Term};
|
||||
/// use tantivy::collector::{Count, TopDocs};
|
||||
/// use tantivy::collector::{CountCollector, TopCollector, chain};
|
||||
/// use tantivy::query::FuzzyTermQuery;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
@@ -57,12 +57,16 @@ lazy_static! {
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// {
|
||||
///
|
||||
/// let term = Term::from_field_text(title, "Diary");
|
||||
/// let query = FuzzyTermQuery::new(term, 1, true);
|
||||
/// let (top_docs, count) = searcher.search(&query, &(TopDocs::with_limit(2), Count)).unwrap();
|
||||
/// assert_eq!(count, 2);
|
||||
/// assert_eq!(top_docs.len(), 2);
|
||||
/// let mut top_collector = TopCollector::with_limit(2);
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// {
|
||||
/// let mut collectors = chain().push(&mut top_collector).push(&mut count_collector);
|
||||
/// let term = Term::from_field_text(title, "Diary");
|
||||
/// let query = FuzzyTermQuery::new(term, 1, true);
|
||||
/// searcher.search(&query, &mut collectors).unwrap();
|
||||
/// }
|
||||
/// assert_eq!(count_collector.count(), 2);
|
||||
/// assert!(top_collector.at_capacity());
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
@@ -118,8 +122,8 @@ impl Query for FuzzyTermQuery {
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use super::FuzzyTermQuery;
|
||||
use collector::TopDocs;
|
||||
use schema::Schema;
|
||||
use collector::TopCollector;
|
||||
use schema::SchemaBuilder;
|
||||
use schema::TEXT;
|
||||
use tests::assert_nearly_equals;
|
||||
use Index;
|
||||
@@ -127,7 +131,7 @@ mod test {
|
||||
|
||||
#[test]
|
||||
pub fn test_fuzzy_term() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let country_field = schema_builder.add_text_field("country", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -144,14 +148,14 @@ mod test {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
{
|
||||
let mut collector = TopCollector::with_limit(2);
|
||||
let term = Term::from_field_text(country_field, "japon");
|
||||
|
||||
let fuzzy_query = FuzzyTermQuery::new(term, 1, true);
|
||||
let top_docs = searcher
|
||||
.search(&fuzzy_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
assert_eq!(top_docs.len(), 1, "Expected only 1 document");
|
||||
let (score, _) = top_docs[0];
|
||||
searcher.search(&fuzzy_query, &mut collector).unwrap();
|
||||
let scored_docs = collector.top_docs();
|
||||
assert_eq!(scored_docs.len(), 1, "Expected only 1 document");
|
||||
let (score, _) = scored_docs[0];
|
||||
assert_nearly_equals(1f32, score);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -16,7 +16,10 @@ mod phrase_query;
|
||||
mod query;
|
||||
mod query_parser;
|
||||
mod range_query;
|
||||
|
||||
#[cfg(feature="regex_query")]
|
||||
mod regex_query;
|
||||
|
||||
mod reqopt_scorer;
|
||||
mod scorer;
|
||||
mod term_query;
|
||||
@@ -47,7 +50,10 @@ pub use self::query::Query;
|
||||
pub use self::query_parser::QueryParser;
|
||||
pub use self::query_parser::QueryParserError;
|
||||
pub use self::range_query::RangeQuery;
|
||||
|
||||
#[cfg(feature="regex_query")]
|
||||
pub use self::regex_query::RegexQuery;
|
||||
|
||||
pub use self::reqopt_scorer::RequiredOptionalScorer;
|
||||
pub use self::scorer::ConstScorer;
|
||||
pub use self::scorer::Scorer;
|
||||
@@ -56,15 +62,15 @@ pub use self::weight::Weight;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use query::QueryParser;
|
||||
use schema::{Schema, TEXT};
|
||||
use std::collections::BTreeSet;
|
||||
use Index;
|
||||
use schema::{SchemaBuilder, TEXT};
|
||||
use query::QueryParser;
|
||||
use Term;
|
||||
use std::collections::BTreeSet;
|
||||
|
||||
#[test]
|
||||
fn test_query_terms() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -73,48 +79,33 @@ mod tests {
|
||||
let term_b = Term::from_field_text(text_field, "b");
|
||||
{
|
||||
let mut terms_set: BTreeSet<Term> = BTreeSet::new();
|
||||
query_parser
|
||||
.parse_query("a")
|
||||
.unwrap()
|
||||
.query_terms(&mut terms_set);
|
||||
query_parser.parse_query("a").unwrap().query_terms(&mut terms_set);
|
||||
let terms: Vec<&Term> = terms_set.iter().collect();
|
||||
assert_eq!(vec![&term_a], terms);
|
||||
}
|
||||
{
|
||||
let mut terms_set: BTreeSet<Term> = BTreeSet::new();
|
||||
query_parser
|
||||
.parse_query("a b")
|
||||
.unwrap()
|
||||
.query_terms(&mut terms_set);
|
||||
query_parser.parse_query("a b").unwrap().query_terms(&mut terms_set);
|
||||
let terms: Vec<&Term> = terms_set.iter().collect();
|
||||
assert_eq!(vec![&term_a, &term_b], terms);
|
||||
}
|
||||
{
|
||||
let mut terms_set: BTreeSet<Term> = BTreeSet::new();
|
||||
query_parser
|
||||
.parse_query("\"a b\"")
|
||||
.unwrap()
|
||||
.query_terms(&mut terms_set);
|
||||
query_parser.parse_query("\"a b\"").unwrap().query_terms(&mut terms_set);
|
||||
let terms: Vec<&Term> = terms_set.iter().collect();
|
||||
assert_eq!(vec![&term_a, &term_b], terms);
|
||||
}
|
||||
{
|
||||
let mut terms_set: BTreeSet<Term> = BTreeSet::new();
|
||||
query_parser
|
||||
.parse_query("a a a a a")
|
||||
.unwrap()
|
||||
.query_terms(&mut terms_set);
|
||||
query_parser.parse_query("a a a a a").unwrap().query_terms(&mut terms_set);
|
||||
let terms: Vec<&Term> = terms_set.iter().collect();
|
||||
assert_eq!(vec![&term_a], terms);
|
||||
}
|
||||
{
|
||||
let mut terms_set: BTreeSet<Term> = BTreeSet::new();
|
||||
query_parser
|
||||
.parse_query("a -b")
|
||||
.unwrap()
|
||||
.query_terms(&mut terms_set);
|
||||
query_parser.parse_query("a -b").unwrap().query_terms(&mut terms_set);
|
||||
let terms: Vec<&Term> = terms_set.iter().collect();
|
||||
assert_eq!(vec![&term_a, &term_b], terms);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -13,13 +13,11 @@ mod tests {
|
||||
use collector::tests::TestCollector;
|
||||
use core::Index;
|
||||
use error::TantivyError;
|
||||
use schema::{Schema, Term, TEXT};
|
||||
use schema::{SchemaBuilder, Term, TEXT};
|
||||
use tests::assert_nearly_equals;
|
||||
use DocAddress;
|
||||
use DocId;
|
||||
|
||||
fn create_index(texts: &[&'static str]) -> Index {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -49,19 +47,16 @@ mod tests {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let mut test_collector = TestCollector::default();
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new(terms);
|
||||
let test_fruits = searcher
|
||||
.search(&phrase_query, &TestCollector)
|
||||
searcher
|
||||
.search(&phrase_query, &mut test_collector)
|
||||
.expect("search should succeed");
|
||||
test_fruits
|
||||
.docs()
|
||||
.iter()
|
||||
.map(|docaddr| docaddr.1)
|
||||
.collect::<Vec<_>>()
|
||||
test_collector.docs()
|
||||
};
|
||||
assert_eq!(test_query(vec!["a", "b", "c"]), vec![2, 4]);
|
||||
assert_eq!(test_query(vec!["a", "b"]), vec![1, 2, 3, 4]);
|
||||
@@ -72,7 +67,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_phrase_query_no_positions() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
use schema::IndexRecordOption;
|
||||
use schema::TextFieldIndexing;
|
||||
use schema::TextOptions;
|
||||
@@ -96,9 +91,9 @@ mod tests {
|
||||
Term::from_field_text(text_field, "a"),
|
||||
Term::from_field_text(text_field, "b"),
|
||||
]);
|
||||
let mut test_collector = TestCollector::default();
|
||||
if let TantivyError::SchemaError(ref msg) = searcher
|
||||
.search(&phrase_query, &TestCollector)
|
||||
.map(|_| ())
|
||||
.search(&phrase_query, &mut test_collector)
|
||||
.unwrap_err()
|
||||
{
|
||||
assert_eq!(
|
||||
@@ -118,16 +113,16 @@ mod tests {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let mut test_collector = TestCollector::default();
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new(terms);
|
||||
searcher
|
||||
.search(&phrase_query, &TestCollector)
|
||||
.expect("search should succeed")
|
||||
.scores()
|
||||
.to_vec()
|
||||
.search(&phrase_query, &mut test_collector)
|
||||
.expect("search should succeed");
|
||||
test_collector.scores()
|
||||
};
|
||||
let scores = test_query(vec!["a", "b"]);
|
||||
assert_nearly_equals(scores[0], 0.40618482);
|
||||
@@ -136,39 +131,51 @@ mod tests {
|
||||
|
||||
#[test] // motivated by #234
|
||||
pub fn test_phrase_query_docfreq_order() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
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, 40_000_000).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"));
|
||||
{
|
||||
// 0
|
||||
let doc = doc!(text_field=>"b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 1
|
||||
let doc = doc!(text_field=>"a b");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
{
|
||||
// 2
|
||||
let doc = doc!(text_field=>"b a");
|
||||
index_writer.add_document(doc);
|
||||
}
|
||||
assert!(index_writer.commit().is_ok());
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let mut test_collector = TestCollector::default();
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new(terms);
|
||||
searcher
|
||||
.search(&phrase_query, &TestCollector)
|
||||
.expect("search should succeed")
|
||||
.docs()
|
||||
.to_vec()
|
||||
.search(&phrase_query, &mut test_collector)
|
||||
.expect("search should succeed");
|
||||
test_collector.docs()
|
||||
};
|
||||
assert_eq!(test_query(vec!["a", "b"]), vec![DocAddress(0, 1)]);
|
||||
assert_eq!(test_query(vec!["b", "a"]), vec![DocAddress(0, 2)]);
|
||||
assert_eq!(test_query(vec!["a", "b"]), vec![1]);
|
||||
assert_eq!(test_query(vec!["b", "a"]), vec![2]);
|
||||
}
|
||||
|
||||
#[test] // motivated by #234
|
||||
pub fn test_phrase_query_non_trivial_offsets() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -180,18 +187,16 @@ mod tests {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let test_query = |texts: Vec<(usize, &str)>| {
|
||||
let mut test_collector = TestCollector::default();
|
||||
let terms: Vec<(usize, Term)> = texts
|
||||
.iter()
|
||||
.map(|(offset, text)| (*offset, Term::from_field_text(text_field, text)))
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new_with_offset(terms);
|
||||
searcher
|
||||
.search(&phrase_query, &TestCollector)
|
||||
.expect("search should succeed")
|
||||
.docs()
|
||||
.iter()
|
||||
.map(|doc_address| doc_address.1)
|
||||
.collect::<Vec<DocId>>()
|
||||
.search(&phrase_query, &mut test_collector)
|
||||
.expect("search should succeed");
|
||||
test_collector.docs()
|
||||
};
|
||||
assert_eq!(test_query(vec![(0, "a"), (1, "b")]), vec![0]);
|
||||
assert_eq!(test_query(vec![(1, "b"), (0, "a")]), vec![0]);
|
||||
|
||||
@@ -134,8 +134,7 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
.into_iter()
|
||||
.map(|(offset, postings)| {
|
||||
PostingsWithOffset::new(postings, (max_offset - offset) as u32)
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
}).collect::<Vec<_>>();
|
||||
PhraseScorer {
|
||||
intersection_docset: Intersection::new(postings_with_offsets),
|
||||
num_docsets,
|
||||
|
||||
@@ -1,9 +1,11 @@
|
||||
use super::Weight;
|
||||
use collector::Collector;
|
||||
use core::searcher::Searcher;
|
||||
use downcast;
|
||||
use std::collections::BTreeSet;
|
||||
use std::fmt;
|
||||
use Result;
|
||||
use SegmentLocalId;
|
||||
use Term;
|
||||
|
||||
/// The `Query` trait defines a set of documents and a scoring method
|
||||
@@ -61,6 +63,26 @@ pub trait Query: QueryClone + downcast::Any + fmt::Debug {
|
||||
/// Extract all of the terms associated to the query and insert them in the
|
||||
/// term set given in arguments.
|
||||
fn query_terms(&self, _term_set: &mut BTreeSet<Term>) {}
|
||||
|
||||
/// Search works as follows :
|
||||
///
|
||||
/// First the weight object associated to the query is created.
|
||||
///
|
||||
/// Then, the query loops over the segments and for each segment :
|
||||
/// - setup the collector and informs it that the segment being processed has changed.
|
||||
/// - creates a `Scorer` object associated for this segment
|
||||
/// - iterate throw the matched documents and push them to the collector.
|
||||
///
|
||||
fn search(&self, searcher: &Searcher, collector: &mut Collector) -> Result<()> {
|
||||
let scoring_enabled = collector.requires_scoring();
|
||||
let weight = self.weight(searcher, scoring_enabled)?;
|
||||
for (segment_ord, segment_reader) in searcher.segment_readers().iter().enumerate() {
|
||||
collector.set_segment(segment_ord as SegmentLocalId, segment_reader)?;
|
||||
let mut scorer = weight.scorer(segment_reader)?;
|
||||
scorer.collect(collector, segment_reader.delete_bitset());
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
pub trait QueryClone {
|
||||
@@ -76,26 +98,6 @@ where
|
||||
}
|
||||
}
|
||||
|
||||
impl Query for Box<Query> {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> Result<Box<Weight>> {
|
||||
self.as_ref().weight(searcher, scoring_enabled)
|
||||
}
|
||||
|
||||
fn count(&self, searcher: &Searcher) -> Result<usize> {
|
||||
self.as_ref().count(searcher)
|
||||
}
|
||||
|
||||
fn query_terms(&self, term_set: &mut BTreeSet<Term<Vec<u8>>>) {
|
||||
self.as_ref().query_terms(term_set);
|
||||
}
|
||||
}
|
||||
|
||||
impl QueryClone for Box<Query> {
|
||||
fn box_clone(&self) -> Box<Query> {
|
||||
self.as_ref().box_clone()
|
||||
}
|
||||
}
|
||||
|
||||
#[allow(missing_docs)]
|
||||
mod downcast_impl {
|
||||
downcast!(super::Query);
|
||||
|
||||
@@ -68,8 +68,7 @@ fn trim_ast(logical_ast: LogicalAST) -> Option<LogicalAST> {
|
||||
.into_iter()
|
||||
.flat_map(|(occur, child)| {
|
||||
trim_ast(child).map(|trimmed_child| (occur, trimmed_child))
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
}).collect::<Vec<_>>();
|
||||
if trimmed_children.is_empty() {
|
||||
None
|
||||
} else {
|
||||
@@ -129,7 +128,6 @@ fn trim_ast(logical_ast: LogicalAST) -> Option<LogicalAST> {
|
||||
///
|
||||
/// * all docs query: A plain `*` will match all documents in the index.
|
||||
///
|
||||
#[derive(Clone)]
|
||||
pub struct QueryParser {
|
||||
schema: Schema,
|
||||
default_fields: Vec<Field>,
|
||||
@@ -423,8 +421,7 @@ impl QueryParser {
|
||||
lower: self.resolve_bound(field, &lower)?,
|
||||
upper: self.resolve_bound(field, &upper)?,
|
||||
})))
|
||||
})
|
||||
.collect::<Result<Vec<_>, QueryParserError>>()?;
|
||||
}).collect::<Result<Vec<_>, QueryParserError>>()?;
|
||||
let result_ast = if clauses.len() == 1 {
|
||||
clauses.pop().unwrap()
|
||||
} else {
|
||||
@@ -487,12 +484,12 @@ mod test {
|
||||
use query::Query;
|
||||
use schema::Field;
|
||||
use schema::{IndexRecordOption, TextFieldIndexing, TextOptions};
|
||||
use schema::{Schema, Term, INT_INDEXED, STORED, STRING, TEXT};
|
||||
use schema::{SchemaBuilder, Term, INT_INDEXED, STORED, STRING, TEXT};
|
||||
use tokenizer::{LowerCaser, SimpleTokenizer, StopWordFilter, Tokenizer, TokenizerManager};
|
||||
use Index;
|
||||
|
||||
fn make_query_parser() -> QueryParser {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field_indexing = TextFieldIndexing::default()
|
||||
.set_tokenizer("en_with_stop_words")
|
||||
.set_index_option(IndexRecordOption::WithFreqsAndPositions);
|
||||
@@ -600,19 +597,25 @@ mod test {
|
||||
assert!(query_parser.parse_query("signed:2324").is_ok());
|
||||
assert!(query_parser.parse_query("signed:\"22\"").is_ok());
|
||||
assert!(query_parser.parse_query("signed:\"-2234\"").is_ok());
|
||||
assert!(query_parser
|
||||
.parse_query("signed:\"-9999999999999\"")
|
||||
.is_ok());
|
||||
assert!(
|
||||
query_parser
|
||||
.parse_query("signed:\"-9999999999999\"")
|
||||
.is_ok()
|
||||
);
|
||||
assert!(query_parser.parse_query("signed:\"a\"").is_err());
|
||||
assert!(query_parser.parse_query("signed:\"2a\"").is_err());
|
||||
assert!(query_parser
|
||||
.parse_query("signed:\"18446744073709551615\"")
|
||||
.is_err());
|
||||
assert!(
|
||||
query_parser
|
||||
.parse_query("signed:\"18446744073709551615\"")
|
||||
.is_err()
|
||||
);
|
||||
assert!(query_parser.parse_query("unsigned:\"2\"").is_ok());
|
||||
assert!(query_parser.parse_query("unsigned:\"-2\"").is_err());
|
||||
assert!(query_parser
|
||||
.parse_query("unsigned:\"18446744073709551615\"")
|
||||
.is_ok());
|
||||
assert!(
|
||||
query_parser
|
||||
.parse_query("unsigned:\"18446744073709551615\"")
|
||||
.is_ok()
|
||||
);
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
"unsigned:2324",
|
||||
"Term([0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 9, 20])",
|
||||
@@ -717,7 +720,7 @@ mod test {
|
||||
|
||||
#[test]
|
||||
pub fn test_unknown_tokenizer() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field_indexing = TextFieldIndexing::default()
|
||||
.set_tokenizer("nonexistingtokenizer")
|
||||
.set_index_option(IndexRecordOption::Basic);
|
||||
@@ -735,7 +738,7 @@ mod test {
|
||||
|
||||
#[test]
|
||||
pub fn test_query_parser_no_positions() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field_indexing = TextFieldIndexing::default()
|
||||
.set_tokenizer("customtokenizer")
|
||||
.set_index_option(IndexRecordOption::Basic);
|
||||
|
||||
@@ -40,13 +40,14 @@ fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
|
||||
/// # #[macro_use]
|
||||
/// # extern crate tantivy;
|
||||
/// # use tantivy::Index;
|
||||
/// # use tantivy::schema::{Schema, INT_INDEXED};
|
||||
/// # use tantivy::collector::Count;
|
||||
/// # use tantivy::schema::{SchemaBuilder, INT_INDEXED};
|
||||
/// # use tantivy::collector::CountCollector;
|
||||
/// # use tantivy::query::Query;
|
||||
/// # use tantivy::Result;
|
||||
/// # use tantivy::query::RangeQuery;
|
||||
/// #
|
||||
/// # fn run() -> Result<()> {
|
||||
/// # let mut schema_builder = Schema::builder();
|
||||
/// # let mut schema_builder = SchemaBuilder::new();
|
||||
/// # let year_field = schema_builder.add_u64_field("year", INT_INDEXED);
|
||||
/// # let schema = schema_builder.build();
|
||||
/// #
|
||||
@@ -66,7 +67,10 @@ fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
|
||||
///
|
||||
/// let docs_in_the_sixties = RangeQuery::new_u64(year_field, 1960..1970);
|
||||
///
|
||||
/// let num_60s_books = searcher.search(&docs_in_the_sixties, &Count)?;
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// docs_in_the_sixties.search(&searcher, &mut count_collector)?;
|
||||
///
|
||||
/// let num_60s_books = count_collector.count();
|
||||
///
|
||||
/// # assert_eq!(num_60s_books, 2285);
|
||||
/// # Ok(())
|
||||
@@ -292,8 +296,9 @@ impl Weight for RangeWeight {
|
||||
mod tests {
|
||||
|
||||
use super::RangeQuery;
|
||||
use collector::Count;
|
||||
use schema::{Document, Field, Schema, INT_INDEXED};
|
||||
use collector::CountCollector;
|
||||
use query::Query;
|
||||
use schema::{Document, Field, SchemaBuilder, INT_INDEXED};
|
||||
use std::collections::Bound;
|
||||
use Index;
|
||||
use Result;
|
||||
@@ -301,7 +306,7 @@ mod tests {
|
||||
#[test]
|
||||
fn test_range_query_simple() {
|
||||
fn run() -> Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let year_field = schema_builder.add_u64_field("year", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
@@ -322,8 +327,9 @@ mod tests {
|
||||
let docs_in_the_sixties = RangeQuery::new_u64(year_field, 1960u64..1970u64);
|
||||
|
||||
// ... or `1960..=1969` if inclusive range is enabled.
|
||||
let count = searcher.search(&docs_in_the_sixties, &Count)?;
|
||||
assert_eq!(count, 2285);
|
||||
let mut count_collector = CountCollector::default();
|
||||
docs_in_the_sixties.search(&searcher, &mut count_collector)?;
|
||||
assert_eq!(count_collector.count(), 2285);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -334,7 +340,7 @@ mod tests {
|
||||
fn test_range_query() {
|
||||
let int_field: Field;
|
||||
let schema = {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
int_field = schema_builder.add_i64_field("intfield", INT_INDEXED);
|
||||
schema_builder.build()
|
||||
};
|
||||
@@ -357,8 +363,11 @@ mod tests {
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let count_multiples =
|
||||
|range_query: RangeQuery| searcher.search(&range_query, &Count).unwrap();
|
||||
let count_multiples = |range_query: RangeQuery| {
|
||||
let mut count_collector = CountCollector::default();
|
||||
range_query.search(&searcher, &mut count_collector).unwrap();
|
||||
count_collector.count()
|
||||
};
|
||||
|
||||
assert_eq!(count_multiples(RangeQuery::new_i64(int_field, 10..11)), 9);
|
||||
assert_eq!(
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
extern crate fst_regex;
|
||||
|
||||
use error::TantivyError;
|
||||
use fst_regex::Regex;
|
||||
use self::fst_regex::Regex;
|
||||
use query::{AutomatonWeight, Query, Weight};
|
||||
use schema::Field;
|
||||
use std::clone::Clone;
|
||||
@@ -16,14 +18,14 @@ use Searcher;
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{Schema, TEXT};
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// use tantivy::{Index, Result, Term};
|
||||
/// use tantivy::collector::Count;
|
||||
/// use tantivy::collector::{CountCollector, TopCollector, chain};
|
||||
/// use tantivy::query::RegexQuery;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
@@ -47,10 +49,19 @@ use Searcher;
|
||||
/// index.load_searchers()?;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// let term = Term::from_field_text(title, "Diary");
|
||||
/// let query = RegexQuery::new("d[ai]{2}ry".to_string(), title);
|
||||
/// let count = searcher.search(&query, &Count)?;
|
||||
/// assert_eq!(count, 3);
|
||||
/// {
|
||||
/// let mut top_collector = TopCollector::with_limit(2);
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// {
|
||||
/// let mut collectors = chain().push(&mut top_collector).push(&mut count_collector);
|
||||
/// let term = Term::from_field_text(title, "Diary");
|
||||
/// let query = RegexQuery::new("d[ai]{2}ry".to_string(), title);
|
||||
/// searcher.search(&query, &mut collectors).unwrap();
|
||||
/// }
|
||||
/// assert_eq!(count_collector.count(), 3);
|
||||
/// assert!(top_collector.at_capacity());
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
/// ```
|
||||
@@ -86,15 +97,15 @@ impl Query for RegexQuery {
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use super::RegexQuery;
|
||||
use collector::TopDocs;
|
||||
use schema::Schema;
|
||||
use collector::TopCollector;
|
||||
use schema::SchemaBuilder;
|
||||
use schema::TEXT;
|
||||
use tests::assert_nearly_equals;
|
||||
use Index;
|
||||
|
||||
#[test]
|
||||
pub fn test_regex_query() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let country_field = schema_builder.add_text_field("country", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -111,18 +122,20 @@ mod test {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
{
|
||||
let mut collector = TopCollector::with_limit(2);
|
||||
let regex_query = RegexQuery::new("jap[ao]n".to_string(), country_field);
|
||||
let scored_docs = searcher
|
||||
.search(®ex_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
searcher.search(®ex_query, &mut collector).unwrap();
|
||||
let scored_docs = collector.top_docs();
|
||||
assert_eq!(scored_docs.len(), 1, "Expected only 1 document");
|
||||
let (score, _) = scored_docs[0];
|
||||
assert_nearly_equals(1f32, score);
|
||||
}
|
||||
let regex_query = RegexQuery::new("jap[A-Z]n".to_string(), country_field);
|
||||
let top_docs = searcher
|
||||
.search(®ex_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
assert!(top_docs.is_empty(), "Expected ZERO document");
|
||||
{
|
||||
let mut collector = TopCollector::with_limit(2);
|
||||
let regex_query = RegexQuery::new("jap[A-Z]n".to_string(), country_field);
|
||||
searcher.search(®ex_query, &mut collector).unwrap();
|
||||
let scored_docs = collector.top_docs();
|
||||
assert_eq!(scored_docs.len(), 0, "Expected ZERO document");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
use collector::Collector;
|
||||
use common::BitSet;
|
||||
use docset::{DocSet, SkipResult};
|
||||
use downcast;
|
||||
use fastfield::DeleteBitSet;
|
||||
use std::ops::DerefMut;
|
||||
use DocId;
|
||||
use Score;
|
||||
@@ -14,11 +16,20 @@ pub trait Scorer: downcast::Any + DocSet + 'static {
|
||||
/// This method will perform a bit of computation and is not cached.
|
||||
fn score(&mut self) -> Score;
|
||||
|
||||
/// Iterates through all of the document matched by the DocSet
|
||||
/// `DocSet` and push the scored documents to the collector.
|
||||
fn for_each(&mut self, callback: &mut FnMut(DocId, Score)) {
|
||||
while self.advance() {
|
||||
callback(self.doc(), self.score());
|
||||
/// Consumes the complete `DocSet` and
|
||||
/// push the scored documents to the collector.
|
||||
fn collect(&mut self, collector: &mut Collector, delete_bitset_opt: Option<&DeleteBitSet>) {
|
||||
if let Some(delete_bitset) = delete_bitset_opt {
|
||||
while self.advance() {
|
||||
let doc = self.doc();
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
collector.collect(doc, self.score());
|
||||
}
|
||||
}
|
||||
} else {
|
||||
while self.advance() {
|
||||
collector.collect(self.doc(), self.score());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -33,9 +44,9 @@ impl Scorer for Box<Scorer> {
|
||||
self.deref_mut().score()
|
||||
}
|
||||
|
||||
fn for_each(&mut self, callback: &mut FnMut(DocId, Score)) {
|
||||
fn collect(&mut self, collector: &mut Collector, delete_bitset: Option<&DeleteBitSet>) {
|
||||
let scorer = self.deref_mut();
|
||||
scorer.for_each(callback);
|
||||
scorer.collect(collector, delete_bitset);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -9,17 +9,17 @@ pub use self::term_weight::TermWeight;
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use collector::TopDocs;
|
||||
use collector::TopCollector;
|
||||
use docset::DocSet;
|
||||
use query::{Query, QueryParser, Scorer, TermQuery};
|
||||
use schema::{IndexRecordOption, Schema, STRING, TEXT};
|
||||
use schema::{IndexRecordOption, SchemaBuilder, STRING, TEXT};
|
||||
use tests::assert_nearly_equals;
|
||||
use Index;
|
||||
use Term;
|
||||
|
||||
#[test]
|
||||
pub fn test_term_query_no_freq() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", STRING);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -49,7 +49,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_term_weight() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let left_field = schema_builder.add_text_field("left", TEXT);
|
||||
let right_field = schema_builder.add_text_field("right", TEXT);
|
||||
let large_field = schema_builder.add_text_field("large", TEXT);
|
||||
@@ -68,35 +68,37 @@ mod tests {
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
{
|
||||
let mut collector = TopCollector::with_limit(2);
|
||||
let term = Term::from_field_text(left_field, "left2");
|
||||
let term_query = TermQuery::new(term, IndexRecordOption::WithFreqs);
|
||||
let topdocs = searcher
|
||||
.search(&term_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
assert_eq!(topdocs.len(), 1);
|
||||
let (score, _) = topdocs[0];
|
||||
searcher.search(&term_query, &mut collector).unwrap();
|
||||
let scored_docs = collector.top_docs();
|
||||
assert_eq!(scored_docs.len(), 1);
|
||||
let (score, _) = scored_docs[0];
|
||||
assert_nearly_equals(0.77802235, score);
|
||||
}
|
||||
{
|
||||
let mut collector = TopCollector::with_limit(2);
|
||||
let term = Term::from_field_text(left_field, "left1");
|
||||
let term_query = TermQuery::new(term, IndexRecordOption::WithFreqs);
|
||||
let top_docs = searcher
|
||||
.search(&term_query, &TopDocs::with_limit(2))
|
||||
.unwrap();
|
||||
assert_eq!(top_docs.len(), 2);
|
||||
let (score1, _) = top_docs[0];
|
||||
searcher.search(&term_query, &mut collector).unwrap();
|
||||
let scored_docs = collector.top_docs();
|
||||
assert_eq!(scored_docs.len(), 2);
|
||||
let (score1, _) = scored_docs[0];
|
||||
assert_nearly_equals(0.27101856, score1);
|
||||
let (score2, _) = top_docs[1];
|
||||
let (score2, _) = scored_docs[1];
|
||||
assert_nearly_equals(0.13736556, score2);
|
||||
}
|
||||
{
|
||||
let query_parser = QueryParser::for_index(&index, vec![]);
|
||||
let query = query_parser.parse_query("left:left2 left:left1").unwrap();
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(2)).unwrap();
|
||||
assert_eq!(top_docs.len(), 2);
|
||||
let (score1, _) = top_docs[0];
|
||||
let mut collector = TopCollector::with_limit(2);
|
||||
searcher.search(&*query, &mut collector).unwrap();
|
||||
let scored_docs = collector.top_docs();
|
||||
assert_eq!(scored_docs.len(), 2);
|
||||
let (score1, _) = scored_docs[0];
|
||||
assert_nearly_equals(0.9153879, score1);
|
||||
let (score2, _) = top_docs[1];
|
||||
let (score2, _) = scored_docs[1];
|
||||
assert_nearly_equals(0.27101856, score2);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -21,14 +21,14 @@ use Term;
|
||||
/// ```rust
|
||||
/// #[macro_use]
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::schema::{Schema, TEXT, IndexRecordOption};
|
||||
/// use tantivy::schema::{SchemaBuilder, TEXT, IndexRecordOption};
|
||||
/// use tantivy::{Index, Result, Term};
|
||||
/// use tantivy::collector::{Count, TopDocs};
|
||||
/// use tantivy::collector::{CountCollector, TopCollector, chain};
|
||||
/// use tantivy::query::TermQuery;
|
||||
///
|
||||
/// # fn main() { example().unwrap(); }
|
||||
/// fn example() -> Result<()> {
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::new();
|
||||
/// let title = schema_builder.add_text_field("title", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
/// let index = Index::create_in_ram(schema);
|
||||
@@ -52,12 +52,20 @@ use Term;
|
||||
/// index.load_searchers()?;
|
||||
/// let searcher = index.searcher();
|
||||
///
|
||||
/// let query = TermQuery::new(
|
||||
/// Term::from_field_text(title, "diary"),
|
||||
/// IndexRecordOption::Basic,
|
||||
/// );
|
||||
/// let (top_docs, count) = searcher.search(&query, &(TopDocs::with_limit(2), Count)).unwrap();
|
||||
/// assert_eq!(count, 2);
|
||||
/// {
|
||||
/// let mut top_collector = TopCollector::with_limit(2);
|
||||
/// let mut count_collector = CountCollector::default();
|
||||
/// {
|
||||
/// let mut collectors = chain().push(&mut top_collector).push(&mut count_collector);
|
||||
/// let query = TermQuery::new(
|
||||
/// Term::from_field_text(title, "diary"),
|
||||
/// IndexRecordOption::Basic,
|
||||
/// );
|
||||
/// searcher.search(&query, &mut collectors).unwrap();
|
||||
/// }
|
||||
/// assert_eq!(count_collector.count(), 2);
|
||||
/// assert!(top_collector.at_capacity());
|
||||
/// }
|
||||
///
|
||||
/// Ok(())
|
||||
/// }
|
||||
|
||||
@@ -55,8 +55,7 @@ where
|
||||
None
|
||||
}
|
||||
},
|
||||
)
|
||||
.collect();
|
||||
).collect();
|
||||
Union {
|
||||
docsets: non_empty_docsets,
|
||||
bitsets: Box::new([TinySet::empty(); HORIZON_NUM_TINYBITSETS]),
|
||||
@@ -215,7 +214,10 @@ where
|
||||
|
||||
// The target is outside of the buffered horizon.
|
||||
// advance all docsets to a doc >= to the target.
|
||||
#[cfg_attr(feature = "cargo-clippy", allow(clippy::clippy::collapsible_if))]
|
||||
#[cfg_attr(
|
||||
feature = "cargo-clippy",
|
||||
allow(clippy::clippy::collapsible_if)
|
||||
)]
|
||||
unordered_drain_filter(&mut self.docsets, |docset| {
|
||||
if docset.doc() < target {
|
||||
if docset.skip_next(target) == SkipResult::End {
|
||||
|
||||
@@ -6,7 +6,7 @@ use Result;
|
||||
/// for a given set of segments.
|
||||
///
|
||||
/// See [`Query`](./trait.Query.html).
|
||||
pub trait Weight: Send + Sync + 'static {
|
||||
pub trait Weight {
|
||||
/// Returns the scorer for the given segment.
|
||||
/// See [`Query`](./trait.Query.html).
|
||||
fn scorer(&self, reader: &SegmentReader) -> Result<Box<Scorer>>;
|
||||
|
||||
@@ -161,7 +161,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_doc() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("title", TEXT);
|
||||
let mut doc = Document::default();
|
||||
doc.add_text(text_field, "My title");
|
||||
|
||||
@@ -14,7 +14,7 @@ use std::fmt;
|
||||
/// - a field name
|
||||
/// - a field type, itself wrapping up options describing
|
||||
/// how the field should be indexed.
|
||||
#[derive(Clone, Debug, Eq, PartialEq)]
|
||||
#[derive(Clone, Debug)]
|
||||
pub struct FieldEntry {
|
||||
name: String,
|
||||
field_type: FieldType,
|
||||
|
||||
@@ -27,7 +27,7 @@ directory.
|
||||
|
||||
```
|
||||
use tantivy::schema::*;
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let title_options = TextOptions::default()
|
||||
.set_stored()
|
||||
.set_indexing_options(TextFieldIndexing::default()
|
||||
@@ -44,11 +44,11 @@ We can split the problem of generating a search result page into two phases :
|
||||
the search results page. (`doc_ids[] -> Document[]`)
|
||||
|
||||
In the first phase, the ability to search for documents by the given field is determined by the
|
||||
[`TextIndexingOptions`](enum.TextIndexingOptions.html) of our
|
||||
[`TextOptions`](struct.TextOptions.html).
|
||||
[`TextIndexingOptions`](enum.TextIndexingOptions.html) of our [`TextOptions`]
|
||||
(struct.TextOptions.html).
|
||||
|
||||
The effect of each possible setting is described more in detail
|
||||
[`TextIndexingOptions`](enum.TextIndexingOptions.html).
|
||||
The effect of each possible setting is described more in detail [`TextIndexingOptions`]
|
||||
(enum.TextIndexingOptions.html).
|
||||
|
||||
On the other hand setting the field as stored or not determines whether the field should be returned
|
||||
when [`searcher.doc(doc_address)`](../struct.Searcher.html#method.doc) is called.
|
||||
@@ -62,7 +62,7 @@ The example can be rewritten :
|
||||
|
||||
```
|
||||
use tantivy::schema::*;
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
schema_builder.add_text_field("title_options", TEXT | STORED);
|
||||
let schema = schema_builder.build();
|
||||
```
|
||||
@@ -75,7 +75,7 @@ let schema = schema_builder.build();
|
||||
|
||||
```
|
||||
use tantivy::schema::*;
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let num_stars_options = IntOptions::default()
|
||||
.set_stored()
|
||||
.set_indexed();
|
||||
|
||||
@@ -23,14 +23,13 @@ use std::fmt;
|
||||
/// ```
|
||||
/// use tantivy::schema::*;
|
||||
///
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::default();
|
||||
/// let id_field = schema_builder.add_text_field("id", STRING);
|
||||
/// let title_field = schema_builder.add_text_field("title", TEXT);
|
||||
/// let body_field = schema_builder.add_text_field("body", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
///
|
||||
/// ```
|
||||
#[derive(Default)]
|
||||
pub struct SchemaBuilder {
|
||||
fields: Vec<FieldEntry>,
|
||||
fields_map: HashMap<String, Field>,
|
||||
@@ -121,19 +120,20 @@ impl SchemaBuilder {
|
||||
}
|
||||
}
|
||||
|
||||
impl Default for SchemaBuilder {
|
||||
fn default() -> SchemaBuilder {
|
||||
SchemaBuilder {
|
||||
fields: Vec::new(),
|
||||
fields_map: HashMap::new(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct InnerSchema {
|
||||
fields: Vec<FieldEntry>,
|
||||
fields_map: HashMap<String, Field>, // transient
|
||||
}
|
||||
|
||||
impl PartialEq for InnerSchema {
|
||||
fn eq(&self, other: &InnerSchema) -> bool {
|
||||
self.fields == other.fields
|
||||
}
|
||||
}
|
||||
|
||||
impl Eq for InnerSchema {}
|
||||
|
||||
/// Tantivy has a very strict schema.
|
||||
/// You need to specify in advance, whether a field is indexed or not,
|
||||
/// stored or not, and RAM-based or not.
|
||||
@@ -147,14 +147,14 @@ impl Eq for InnerSchema {}
|
||||
/// ```
|
||||
/// use tantivy::schema::*;
|
||||
///
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let mut schema_builder = SchemaBuilder::default();
|
||||
/// let id_field = schema_builder.add_text_field("id", STRING);
|
||||
/// let title_field = schema_builder.add_text_field("title", TEXT);
|
||||
/// let body_field = schema_builder.add_text_field("body", TEXT);
|
||||
/// let schema = schema_builder.build();
|
||||
///
|
||||
/// ```
|
||||
#[derive(Clone, Eq, PartialEq)]
|
||||
#[derive(Clone)]
|
||||
pub struct Schema(Arc<InnerSchema>);
|
||||
|
||||
impl Schema {
|
||||
@@ -173,11 +173,6 @@ impl Schema {
|
||||
&self.0.fields
|
||||
}
|
||||
|
||||
/// Creates a new builder.
|
||||
pub fn builder() -> SchemaBuilder {
|
||||
SchemaBuilder::default()
|
||||
}
|
||||
|
||||
/// Returns the field options associated with a given name.
|
||||
///
|
||||
/// # Panics
|
||||
@@ -232,14 +227,12 @@ impl Schema {
|
||||
let field_entry = self.get_field_entry(field);
|
||||
let field_type = field_entry.field_type();
|
||||
match *json_value {
|
||||
JsonValue::Array(ref json_items) => {
|
||||
for json_item in json_items {
|
||||
let value = field_type.value_from_json(json_item).map_err(|e| {
|
||||
DocParsingError::ValueError(field_name.clone(), e)
|
||||
})?;
|
||||
doc.add(FieldValue::new(field, value));
|
||||
}
|
||||
}
|
||||
JsonValue::Array(ref json_items) => for json_item in json_items {
|
||||
let value = field_type
|
||||
.value_from_json(json_item)
|
||||
.map_err(|e| DocParsingError::ValueError(field_name.clone(), e))?;
|
||||
doc.add(FieldValue::new(field, value));
|
||||
},
|
||||
_ => {
|
||||
let value = field_type
|
||||
.value_from_json(json_value)
|
||||
@@ -325,7 +318,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn is_indexed_test() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field_str = schema_builder.add_text_field("field_str", STRING);
|
||||
let schema = schema_builder.build();
|
||||
assert!(schema.get_field_entry(field_str).is_indexed());
|
||||
@@ -333,7 +326,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_schema_serialization() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let count_options = IntOptions::default()
|
||||
.set_stored()
|
||||
.set_fast(Cardinality::SingleValue);
|
||||
@@ -402,7 +395,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_document_to_json() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let count_options = IntOptions::default()
|
||||
.set_stored()
|
||||
.set_fast(Cardinality::SingleValue);
|
||||
@@ -423,7 +416,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_parse_document() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let count_options = IntOptions::default()
|
||||
.set_stored()
|
||||
.set_fast(Cardinality::SingleValue);
|
||||
@@ -448,8 +441,7 @@ mod tests {
|
||||
"count": 4,
|
||||
"popularity": 10
|
||||
}"#,
|
||||
)
|
||||
.unwrap();
|
||||
).unwrap();
|
||||
assert_eq!(doc.get_first(title_field).unwrap().text(), Some("my title"));
|
||||
assert_eq!(
|
||||
doc.get_first(author_field).unwrap().text(),
|
||||
|
||||
@@ -201,7 +201,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_term() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
schema_builder.add_text_field("text", STRING);
|
||||
let title_field = schema_builder.add_text_field("title", STRING);
|
||||
let count_field = schema_builder.add_text_field("count", STRING);
|
||||
|
||||
@@ -141,7 +141,7 @@ mod tests {
|
||||
assert!(field_options.get_indexing_options().is_some());
|
||||
}
|
||||
{
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
schema_builder.add_text_field("body", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let field = schema.get_field("body").unwrap();
|
||||
|
||||
@@ -22,11 +22,6 @@ impl HighlightSection {
|
||||
fn new(start: usize, stop: usize) -> HighlightSection {
|
||||
HighlightSection { start, stop }
|
||||
}
|
||||
|
||||
/// Returns the bounds of the `HighlightSection`.
|
||||
pub fn bounds(&self) -> (usize, usize) {
|
||||
(self.start, self.stop)
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug)]
|
||||
@@ -70,8 +65,6 @@ impl FragmentCandidate {
|
||||
}
|
||||
}
|
||||
|
||||
/// `Snippet`
|
||||
/// Contains a fragment of a document, and some highlighed parts inside it.
|
||||
#[derive(Debug)]
|
||||
pub struct Snippet {
|
||||
fragments: String,
|
||||
@@ -82,7 +75,6 @@ const HIGHLIGHTEN_PREFIX: &str = "<b>";
|
||||
const HIGHLIGHTEN_POSTFIX: &str = "</b>";
|
||||
|
||||
impl Snippet {
|
||||
/// Create a new, empty, `Snippet`
|
||||
pub fn empty() -> Snippet {
|
||||
Snippet {
|
||||
fragments: String::new(),
|
||||
@@ -107,16 +99,6 @@ impl Snippet {
|
||||
));
|
||||
html
|
||||
}
|
||||
|
||||
/// Returns a fragment from the `Snippet`.
|
||||
pub fn fragments(&self) -> &str {
|
||||
&self.fragments
|
||||
}
|
||||
|
||||
/// Returns a list of higlighted positions from the `Snippet`.
|
||||
pub fn highlighted(&self) -> &[HighlightSection] {
|
||||
&self.highlighted
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns a non-empty list of "good" fragments.
|
||||
@@ -192,8 +174,7 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
|
||||
item.start - fragment.start_offset,
|
||||
item.stop - fragment.start_offset,
|
||||
)
|
||||
})
|
||||
.collect();
|
||||
}).collect();
|
||||
Snippet {
|
||||
fragments: fragment_text.to_string(),
|
||||
highlighted,
|
||||
@@ -216,12 +197,12 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
|
||||
/// # #[macro_use]
|
||||
/// # extern crate tantivy;
|
||||
/// # use tantivy::Index;
|
||||
/// # use tantivy::schema::{Schema, TEXT};
|
||||
/// # use tantivy::schema::{SchemaBuilder, TEXT};
|
||||
/// # use tantivy::query::QueryParser;
|
||||
/// use tantivy::SnippetGenerator;
|
||||
///
|
||||
/// # fn main() -> tantivy::Result<()> {
|
||||
/// # let mut schema_builder = Schema::builder();
|
||||
/// # let mut schema_builder = SchemaBuilder::default();
|
||||
/// # let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
/// # let schema = schema_builder.build();
|
||||
/// # let index = Index::create_in_ram(schema);
|
||||
@@ -243,7 +224,7 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
|
||||
/// let query = query_parser.parse_query("haleurs flamands").unwrap();
|
||||
/// # index.load_searchers()?;
|
||||
/// # let searcher = index.searcher();
|
||||
/// let mut snippet_generator = SnippetGenerator::create(&searcher, &*query, text_field)?;
|
||||
/// let mut snippet_generator = SnippetGenerator::new(&searcher, &*query, text_field)?;
|
||||
/// snippet_generator.set_max_num_chars(100);
|
||||
/// let snippet = snippet_generator.snippet_from_doc(&doc);
|
||||
/// let snippet_html: String = snippet.to_html();
|
||||
@@ -260,7 +241,7 @@ pub struct SnippetGenerator {
|
||||
|
||||
impl SnippetGenerator {
|
||||
/// Creates a new snippet generator
|
||||
pub fn create(searcher: &Searcher, query: &Query, field: Field) -> Result<SnippetGenerator> {
|
||||
pub fn new(searcher: &Searcher, query: &Query, field: Field) -> Result<SnippetGenerator> {
|
||||
let mut terms = BTreeSet::new();
|
||||
query.query_terms(&mut terms);
|
||||
let terms_text: BTreeMap<String, f32> = terms
|
||||
@@ -325,7 +306,7 @@ impl SnippetGenerator {
|
||||
mod tests {
|
||||
use super::{search_fragments, select_best_fragment_combination};
|
||||
use query::QueryParser;
|
||||
use schema::{IndexRecordOption, Schema, TextFieldIndexing, TextOptions, TEXT};
|
||||
use schema::{IndexRecordOption, SchemaBuilder, TextFieldIndexing, TextOptions, TEXT};
|
||||
use std::collections::BTreeMap;
|
||||
use std::iter::Iterator;
|
||||
use tokenizer::{box_tokenizer, SimpleTokenizer};
|
||||
@@ -347,6 +328,8 @@ to the project are from community members.[15]
|
||||
Rust won first place for "most loved programming language" in the Stack Overflow Developer
|
||||
Survey in 2016, 2017, and 2018."#;
|
||||
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_snippet() {
|
||||
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
|
||||
@@ -362,18 +345,13 @@ Survey in 2016, 2017, and 2018."#;
|
||||
assert_eq!(first.stop_offset, 89);
|
||||
}
|
||||
let snippet = select_best_fragment_combination(&fragments[..], &TEST_TEXT);
|
||||
assert_eq!(
|
||||
snippet.fragments,
|
||||
"Rust is a systems programming language sponsored by \
|
||||
Mozilla which\ndescribes it as a \"safe"
|
||||
);
|
||||
assert_eq!(
|
||||
snippet.to_html(),
|
||||
"<b>Rust</b> is a systems programming <b>language</b> \
|
||||
sponsored by Mozilla which\ndescribes it as a "safe"
|
||||
)
|
||||
assert_eq!(snippet.fragments, "Rust is a systems programming language sponsored by \
|
||||
Mozilla which\ndescribes it as a \"safe");
|
||||
assert_eq!(snippet.to_html(), "<b>Rust</b> is a systems programming <b>language</b> \
|
||||
sponsored by Mozilla which\ndescribes it as a "safe")
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_snippet_scored_fragment() {
|
||||
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
|
||||
@@ -407,8 +385,10 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let snippet = select_best_fragment_combination(&fragments[..], &TEST_TEXT);
|
||||
assert_eq!(snippet.to_html(), "programming <b>language</b>")
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_snippet_in_second_fragment() {
|
||||
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
|
||||
@@ -515,9 +495,10 @@ Survey in 2016, 2017, and 2018."#;
|
||||
assert_eq!(snippet.to_html(), "");
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_snippet_generator_term_score() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -534,42 +515,29 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let query_parser = QueryParser::for_index(&index, vec![text_field]);
|
||||
{
|
||||
let query = query_parser.parse_query("e").unwrap();
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
let snippet_generator = SnippetGenerator::new(&searcher, &*query, text_field).unwrap();
|
||||
assert!(snippet_generator.terms_text().is_empty());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("a").unwrap();
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(
|
||||
&btreemap!("a".to_string() => 0.25f32),
|
||||
snippet_generator.terms_text()
|
||||
);
|
||||
let snippet_generator = SnippetGenerator::new(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(&btreemap!("a".to_string() => 0.25f32), snippet_generator.terms_text());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("a b").unwrap();
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(
|
||||
&btreemap!("a".to_string() => 0.25f32, "b".to_string() => 0.5),
|
||||
snippet_generator.terms_text()
|
||||
);
|
||||
let snippet_generator = SnippetGenerator::new(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(&btreemap!("a".to_string() => 0.25f32, "b".to_string() => 0.5), snippet_generator.terms_text());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("a b c").unwrap();
|
||||
let snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(
|
||||
&btreemap!("a".to_string() => 0.25f32, "b".to_string() => 0.5),
|
||||
snippet_generator.terms_text()
|
||||
);
|
||||
let snippet_generator = SnippetGenerator::new(&searcher, &*query, text_field).unwrap();
|
||||
assert_eq!(&btreemap!("a".to_string() => 0.25f32, "b".to_string() => 0.5), snippet_generator.terms_text());
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_snippet_generator() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_options = TextOptions::default().set_indexing_options(
|
||||
TextFieldIndexing::default()
|
||||
.set_tokenizer("en_stem")
|
||||
@@ -591,8 +559,7 @@ Survey in 2016, 2017, and 2018."#;
|
||||
let searcher = index.searcher();
|
||||
let query_parser = QueryParser::for_index(&index, vec![text_field]);
|
||||
let query = query_parser.parse_query("rust design").unwrap();
|
||||
let mut snippet_generator =
|
||||
SnippetGenerator::create(&searcher, &*query, text_field).unwrap();
|
||||
let mut snippet_generator = SnippetGenerator::new(&searcher, &*query, text_field).unwrap();
|
||||
{
|
||||
let snippet = snippet_generator.snippet(TEST_TEXT);
|
||||
assert_eq!(snippet.to_html(), "imperative-procedural paradigms. <b>Rust</b> is syntactically similar to C++[according to whom?],\nbut its <b>designers</b> intend it to provide better memory safety");
|
||||
|
||||
@@ -1,497 +0,0 @@
|
||||
/*!
|
||||
Representations for the space usage of various parts of a Tantivy index.
|
||||
|
||||
This can be used programmatically, and will also be exposed in a human readable fashion in
|
||||
tantivy-cli.
|
||||
|
||||
One important caveat for all of this functionality is that none of it currently takes storage-level
|
||||
details into consideration. For example, if your file system block size is 4096 bytes, we can
|
||||
under-count actual resultant space usage by up to 4095 bytes per file.
|
||||
*/
|
||||
|
||||
use schema::Field;
|
||||
use std::collections::HashMap;
|
||||
use SegmentComponent;
|
||||
|
||||
/// Indicates space usage in bytes
|
||||
pub type ByteCount = usize;
|
||||
|
||||
/// Enum containing any of the possible space usage results for segment components.
|
||||
pub enum ComponentSpaceUsage {
|
||||
/// Data is stored per field in a uniform way
|
||||
PerField(PerFieldSpaceUsage),
|
||||
/// Data is stored in separate pieces in the store
|
||||
Store(StoreSpaceUsage),
|
||||
/// Some sort of raw byte count
|
||||
Basic(ByteCount),
|
||||
}
|
||||
|
||||
/// Represents combined space usage of an entire searcher and its component segments.
|
||||
#[derive(Clone, Debug, Serialize, Deserialize)]
|
||||
pub struct SearcherSpaceUsage {
|
||||
segments: Vec<SegmentSpaceUsage>,
|
||||
total: ByteCount,
|
||||
}
|
||||
|
||||
impl SearcherSpaceUsage {
|
||||
pub(crate) fn new() -> SearcherSpaceUsage {
|
||||
SearcherSpaceUsage {
|
||||
segments: Vec::new(),
|
||||
total: 0,
|
||||
}
|
||||
}
|
||||
|
||||
/// Add a segment, to `self`.
|
||||
/// Performs no deduplication or other intelligence.
|
||||
pub(crate) fn add_segment(&mut self, segment: SegmentSpaceUsage) {
|
||||
self.total += segment.total();
|
||||
self.segments.push(segment);
|
||||
}
|
||||
|
||||
/// Per segment space usage
|
||||
pub fn segments(&self) -> &[SegmentSpaceUsage] {
|
||||
&self.segments[..]
|
||||
}
|
||||
|
||||
/// Returns total byte usage of this searcher, including all large subcomponents.
|
||||
/// Does not account for smaller things like `meta.json`.
|
||||
pub fn total(&self) -> ByteCount {
|
||||
self.total
|
||||
}
|
||||
}
|
||||
|
||||
/// Represents combined space usage for all of the large components comprising a segment.
|
||||
#[derive(Clone, Debug, Serialize, Deserialize)]
|
||||
pub struct SegmentSpaceUsage {
|
||||
num_docs: u32,
|
||||
|
||||
termdict: PerFieldSpaceUsage,
|
||||
postings: PerFieldSpaceUsage,
|
||||
positions: PerFieldSpaceUsage,
|
||||
positions_idx: PerFieldSpaceUsage,
|
||||
fast_fields: PerFieldSpaceUsage,
|
||||
fieldnorms: PerFieldSpaceUsage,
|
||||
|
||||
store: StoreSpaceUsage,
|
||||
|
||||
deletes: ByteCount,
|
||||
|
||||
total: ByteCount,
|
||||
}
|
||||
|
||||
impl SegmentSpaceUsage {
|
||||
#[allow(clippy::too_many_arguments)]
|
||||
pub(crate) fn new(
|
||||
num_docs: u32,
|
||||
termdict: PerFieldSpaceUsage,
|
||||
postings: PerFieldSpaceUsage,
|
||||
positions: PerFieldSpaceUsage,
|
||||
positions_idx: PerFieldSpaceUsage,
|
||||
fast_fields: PerFieldSpaceUsage,
|
||||
fieldnorms: PerFieldSpaceUsage,
|
||||
store: StoreSpaceUsage,
|
||||
deletes: ByteCount,
|
||||
) -> SegmentSpaceUsage {
|
||||
let total = termdict.total()
|
||||
+ postings.total()
|
||||
+ positions.total()
|
||||
+ fast_fields.total()
|
||||
+ fieldnorms.total()
|
||||
+ store.total()
|
||||
+ deletes;
|
||||
SegmentSpaceUsage {
|
||||
num_docs,
|
||||
termdict,
|
||||
postings,
|
||||
positions,
|
||||
positions_idx,
|
||||
fast_fields,
|
||||
fieldnorms,
|
||||
store,
|
||||
deletes,
|
||||
total,
|
||||
}
|
||||
}
|
||||
|
||||
/// Space usage for the given component
|
||||
///
|
||||
/// 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 SegmentComponent::*;
|
||||
match component {
|
||||
POSTINGS => PerField(self.postings().clone()),
|
||||
POSITIONS => PerField(self.positions().clone()),
|
||||
POSITIONSSKIP => PerField(self.positions_skip_idx().clone()),
|
||||
FASTFIELDS => PerField(self.fast_fields().clone()),
|
||||
FIELDNORMS => PerField(self.fieldnorms().clone()),
|
||||
TERMS => PerField(self.termdict().clone()),
|
||||
STORE => Store(self.store().clone()),
|
||||
DELETE => Basic(self.deletes()),
|
||||
}
|
||||
}
|
||||
|
||||
/// Num docs in segment
|
||||
pub fn num_docs(&self) -> u32 {
|
||||
self.num_docs
|
||||
}
|
||||
|
||||
/// Space usage for term dictionary
|
||||
pub fn termdict(&self) -> &PerFieldSpaceUsage {
|
||||
&self.termdict
|
||||
}
|
||||
|
||||
/// Space usage for postings list
|
||||
pub fn postings(&self) -> &PerFieldSpaceUsage {
|
||||
&self.postings
|
||||
}
|
||||
|
||||
/// Space usage for positions
|
||||
pub fn positions(&self) -> &PerFieldSpaceUsage {
|
||||
&self.positions
|
||||
}
|
||||
|
||||
/// Space usage for positions skip idx
|
||||
pub fn positions_skip_idx(&self) -> &PerFieldSpaceUsage {
|
||||
&self.positions_idx
|
||||
}
|
||||
|
||||
/// Space usage for fast fields
|
||||
pub fn fast_fields(&self) -> &PerFieldSpaceUsage {
|
||||
&self.fast_fields
|
||||
}
|
||||
|
||||
/// Space usage for field norms
|
||||
pub fn fieldnorms(&self) -> &PerFieldSpaceUsage {
|
||||
&self.fieldnorms
|
||||
}
|
||||
|
||||
/// Space usage for stored documents
|
||||
pub fn store(&self) -> &StoreSpaceUsage {
|
||||
&self.store
|
||||
}
|
||||
|
||||
/// Space usage for document deletions
|
||||
pub fn deletes(&self) -> ByteCount {
|
||||
self.deletes
|
||||
}
|
||||
|
||||
/// Total space usage in bytes for this segment.
|
||||
pub fn total(&self) -> ByteCount {
|
||||
self.total
|
||||
}
|
||||
}
|
||||
|
||||
/// Represents space usage for the Store for this segment.
|
||||
///
|
||||
/// This is composed of two parts.
|
||||
/// `data` represents the compressed data itself.
|
||||
/// `offsets` represents a lookup to find the start of a block
|
||||
#[derive(Clone, Debug, Serialize, Deserialize)]
|
||||
pub struct StoreSpaceUsage {
|
||||
data: ByteCount,
|
||||
offsets: ByteCount,
|
||||
}
|
||||
|
||||
impl StoreSpaceUsage {
|
||||
pub(crate) fn new(data: ByteCount, offsets: ByteCount) -> StoreSpaceUsage {
|
||||
StoreSpaceUsage { data, offsets }
|
||||
}
|
||||
|
||||
/// Space usage for the data part of the store
|
||||
pub fn data_usage(&self) -> ByteCount {
|
||||
self.data
|
||||
}
|
||||
|
||||
/// Space usage for the offsets part of the store (doc ID -> offset)
|
||||
pub fn offsets_usage(&self) -> ByteCount {
|
||||
self.offsets
|
||||
}
|
||||
|
||||
/// Total space usage in bytes for this Store
|
||||
pub fn total(&self) -> ByteCount {
|
||||
self.data + self.offsets
|
||||
}
|
||||
}
|
||||
|
||||
/// Represents space usage for all of the (field, index) pairs that appear in a CompositeFile.
|
||||
///
|
||||
/// A field can appear with a single index (typically 0) or with multiple indexes.
|
||||
/// Multiple indexes are used to handle variable length things, where
|
||||
#[derive(Clone, Debug, Serialize, Deserialize)]
|
||||
pub struct PerFieldSpaceUsage {
|
||||
fields: HashMap<Field, FieldUsage>,
|
||||
total: ByteCount,
|
||||
}
|
||||
|
||||
impl PerFieldSpaceUsage {
|
||||
pub(crate) fn new(fields: HashMap<Field, FieldUsage>) -> PerFieldSpaceUsage {
|
||||
let total = fields.values().map(|x| x.total()).sum();
|
||||
PerFieldSpaceUsage { fields, total }
|
||||
}
|
||||
|
||||
/// Per field space usage
|
||||
pub fn fields(&self) -> impl Iterator<Item = (&Field, &FieldUsage)> {
|
||||
self.fields.iter()
|
||||
}
|
||||
|
||||
/// Bytes used by the represented file
|
||||
pub fn total(&self) -> ByteCount {
|
||||
self.total
|
||||
}
|
||||
}
|
||||
|
||||
/// Represents space usage of a given field, breaking it down into the (field, index) pairs that
|
||||
/// comprise it.
|
||||
///
|
||||
/// See documentation for PerFieldSpaceUsage for slightly more information.
|
||||
#[derive(Clone, Debug, Serialize, Deserialize)]
|
||||
pub struct FieldUsage {
|
||||
field: Field,
|
||||
num_bytes: ByteCount,
|
||||
/// A field can be composed of more than one piece.
|
||||
/// These pieces are indexed by arbitrary numbers starting at zero.
|
||||
/// `self.num_bytes` includes all of `self.sub_num_bytes`.
|
||||
sub_num_bytes: Vec<Option<ByteCount>>,
|
||||
}
|
||||
|
||||
impl FieldUsage {
|
||||
pub(crate) fn empty(field: Field) -> FieldUsage {
|
||||
FieldUsage {
|
||||
field,
|
||||
num_bytes: 0,
|
||||
sub_num_bytes: Vec::new(),
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn add_field_idx(&mut self, idx: usize, size: ByteCount) {
|
||||
if self.sub_num_bytes.len() < idx + 1 {
|
||||
self.sub_num_bytes.resize(idx + 1, None);
|
||||
}
|
||||
assert!(self.sub_num_bytes[idx].is_none());
|
||||
self.sub_num_bytes[idx] = Some(size);
|
||||
self.num_bytes += size
|
||||
}
|
||||
|
||||
/// Field
|
||||
pub fn field(&self) -> Field {
|
||||
self.field
|
||||
}
|
||||
|
||||
/// Space usage for each index
|
||||
pub fn sub_num_bytes(&self) -> &[Option<ByteCount>] {
|
||||
&self.sub_num_bytes[..]
|
||||
}
|
||||
|
||||
/// Total bytes used for this field in this context
|
||||
pub fn total(&self) -> ByteCount {
|
||||
self.num_bytes
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use core::Index;
|
||||
use schema::Field;
|
||||
use schema::Schema;
|
||||
use schema::STORED;
|
||||
use schema::{FAST, INT_INDEXED, TEXT};
|
||||
use space_usage::ByteCount;
|
||||
use space_usage::PerFieldSpaceUsage;
|
||||
use Term;
|
||||
|
||||
#[test]
|
||||
fn test_empty() {
|
||||
let schema = Schema::builder().build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let searcher_space_usage = searcher.space_usage();
|
||||
assert_eq!(0, searcher_space_usage.total());
|
||||
}
|
||||
|
||||
fn expect_single_field(
|
||||
field_space: &PerFieldSpaceUsage,
|
||||
field: &Field,
|
||||
min_size: ByteCount,
|
||||
max_size: ByteCount,
|
||||
) {
|
||||
assert!(field_space.total() >= min_size);
|
||||
assert!(field_space.total() <= max_size);
|
||||
assert_eq!(
|
||||
vec![(field, field_space.total())],
|
||||
field_space
|
||||
.fields()
|
||||
.map(|(x, y)| (x, y.total()))
|
||||
.collect::<Vec<_>>()
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_fast_indexed() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let name = schema_builder.add_u64_field("name", FAST | INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(name => 1u64));
|
||||
index_writer.add_document(doc!(name => 2u64));
|
||||
index_writer.add_document(doc!(name => 10u64));
|
||||
index_writer.add_document(doc!(name => 20u64));
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let searcher_space_usage = searcher.space_usage();
|
||||
assert!(searcher_space_usage.total() > 0);
|
||||
assert_eq!(1, searcher_space_usage.segments().len());
|
||||
|
||||
let segment = &searcher_space_usage.segments()[0];
|
||||
assert!(segment.total() > 0);
|
||||
|
||||
assert_eq!(4, segment.num_docs());
|
||||
|
||||
expect_single_field(segment.termdict(), &name, 1, 512);
|
||||
expect_single_field(segment.postings(), &name, 1, 512);
|
||||
assert_eq!(0, segment.positions().total());
|
||||
assert_eq!(0, segment.positions_skip_idx().total());
|
||||
expect_single_field(segment.fast_fields(), &name, 1, 512);
|
||||
expect_single_field(segment.fieldnorms(), &name, 1, 512);
|
||||
// TODO: understand why the following fails
|
||||
// assert_eq!(0, segment.store().total());
|
||||
assert_eq!(0, segment.deletes());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_text() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let name = schema_builder.add_text_field("name", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(name => "hi"));
|
||||
index_writer.add_document(doc!(name => "this is a test"));
|
||||
index_writer.add_document(
|
||||
doc!(name => "some more documents with some word overlap with the other test"),
|
||||
);
|
||||
index_writer.add_document(doc!(name => "hello hi goodbye"));
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let searcher_space_usage = searcher.space_usage();
|
||||
assert!(searcher_space_usage.total() > 0);
|
||||
assert_eq!(1, searcher_space_usage.segments().len());
|
||||
|
||||
let segment = &searcher_space_usage.segments()[0];
|
||||
assert!(segment.total() > 0);
|
||||
|
||||
assert_eq!(4, segment.num_docs());
|
||||
|
||||
expect_single_field(segment.termdict(), &name, 1, 512);
|
||||
expect_single_field(segment.postings(), &name, 1, 512);
|
||||
expect_single_field(segment.positions(), &name, 1, 512);
|
||||
expect_single_field(segment.positions_skip_idx(), &name, 1, 512);
|
||||
assert_eq!(0, segment.fast_fields().total());
|
||||
expect_single_field(segment.fieldnorms(), &name, 1, 512);
|
||||
// TODO: understand why the following fails
|
||||
// assert_eq!(0, segment.store().total());
|
||||
assert_eq!(0, segment.deletes());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_store() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let name = schema_builder.add_text_field("name", STORED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(name => "hi"));
|
||||
index_writer.add_document(doc!(name => "this is a test"));
|
||||
index_writer.add_document(
|
||||
doc!(name => "some more documents with some word overlap with the other test"),
|
||||
);
|
||||
index_writer.add_document(doc!(name => "hello hi goodbye"));
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
let searcher_space_usage = searcher.space_usage();
|
||||
assert!(searcher_space_usage.total() > 0);
|
||||
assert_eq!(1, searcher_space_usage.segments().len());
|
||||
|
||||
let segment = &searcher_space_usage.segments()[0];
|
||||
assert!(segment.total() > 0);
|
||||
|
||||
assert_eq!(4, segment.num_docs());
|
||||
|
||||
assert_eq!(0, segment.termdict().total());
|
||||
assert_eq!(0, segment.postings().total());
|
||||
assert_eq!(0, segment.positions().total());
|
||||
assert_eq!(0, segment.positions_skip_idx().total());
|
||||
assert_eq!(0, segment.fast_fields().total());
|
||||
assert_eq!(0, segment.fieldnorms().total());
|
||||
assert!(segment.store().total() > 0);
|
||||
assert!(segment.store().total() < 512);
|
||||
assert_eq!(0, segment.deletes());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_deletes() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let name = schema_builder.add_u64_field("name", INT_INDEXED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
|
||||
index_writer.add_document(doc!(name => 1u64));
|
||||
index_writer.add_document(doc!(name => 2u64));
|
||||
index_writer.add_document(doc!(name => 3u64));
|
||||
index_writer.add_document(doc!(name => 4u64));
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
|
||||
{
|
||||
let mut index_writer2 = index.writer(50_000_000).unwrap();
|
||||
index_writer2.delete_term(Term::from_field_u64(name, 2u64));
|
||||
index_writer2.delete_term(Term::from_field_u64(name, 3u64));
|
||||
|
||||
// ok, now we should have a deleted doc
|
||||
index_writer2.commit().unwrap();
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
|
||||
let searcher = index.searcher();
|
||||
let searcher_space_usage = searcher.space_usage();
|
||||
assert!(searcher_space_usage.total() > 0);
|
||||
assert_eq!(1, searcher_space_usage.segments().len());
|
||||
|
||||
let segment = &searcher_space_usage.segments()[0];
|
||||
assert!(segment.total() > 0);
|
||||
|
||||
assert_eq!(2, segment.num_docs());
|
||||
|
||||
expect_single_field(segment.termdict(), &name, 1, 512);
|
||||
expect_single_field(segment.postings(), &name, 1, 512);
|
||||
assert_eq!(0, segment.positions().total());
|
||||
assert_eq!(0, segment.positions_skip_idx().total());
|
||||
assert_eq!(0, segment.fast_fields().total());
|
||||
expect_single_field(segment.fieldnorms(), &name, 1, 512);
|
||||
// TODO: understand why the following fails
|
||||
// assert_eq!(0, segment.store().total());
|
||||
assert!(segment.deletes() > 0);
|
||||
}
|
||||
}
|
||||
@@ -56,12 +56,12 @@ pub mod tests {
|
||||
use directory::{Directory, RAMDirectory, WritePtr};
|
||||
use schema::Document;
|
||||
use schema::FieldValue;
|
||||
use schema::Schema;
|
||||
use schema::TextOptions;
|
||||
use schema::{Schema, SchemaBuilder};
|
||||
use std::path::Path;
|
||||
|
||||
pub fn write_lorem_ipsum_store(writer: WritePtr, num_docs: usize) -> Schema {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field_body = schema_builder.add_text_field("body", TextOptions::default().set_stored());
|
||||
let field_title =
|
||||
schema_builder.add_text_field("title", TextOptions::default().set_stored());
|
||||
|
||||
@@ -6,7 +6,6 @@ use common::BinarySerializable;
|
||||
use common::VInt;
|
||||
use directory::ReadOnlySource;
|
||||
use schema::Document;
|
||||
use space_usage::StoreSpaceUsage;
|
||||
use std::cell::RefCell;
|
||||
use std::io;
|
||||
use std::mem::size_of;
|
||||
@@ -88,14 +87,12 @@ impl StoreReader {
|
||||
cursor = &cursor[..doc_length];
|
||||
Ok(Document::deserialize(&mut cursor)?)
|
||||
}
|
||||
|
||||
/// Summarize total space usage of this store reader.
|
||||
pub fn space_usage(&self) -> StoreSpaceUsage {
|
||||
StoreSpaceUsage::new(self.data.len(), self.offset_index_source.len())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg_attr(feature = "cargo-clippy", allow(clippy::needless_pass_by_value))]
|
||||
#[cfg_attr(
|
||||
feature = "cargo-clippy",
|
||||
allow(clippy::needless_pass_by_value)
|
||||
)]
|
||||
fn split_source(data: ReadOnlySource) -> (ReadOnlySource, ReadOnlySource, DocId) {
|
||||
let data_len = data.len();
|
||||
let footer_offset = data_len - size_of::<u64>() - size_of::<u32>();
|
||||
|
||||
@@ -53,8 +53,7 @@ impl<'a> TermMerger<'a> {
|
||||
.map(|(ord, streamer)| HeapItem {
|
||||
streamer,
|
||||
segment_ord: ord,
|
||||
})
|
||||
.collect(),
|
||||
}).collect(),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -123,7 +122,10 @@ impl<'a> TermMerger<'a> {
|
||||
}
|
||||
|
||||
/// Iterates through terms
|
||||
#[cfg_attr(feature = "cargo-clippy", allow(clippy::should_implement_trait))]
|
||||
#[cfg_attr(
|
||||
feature = "cargo-clippy",
|
||||
allow(clippy::should_implement_trait)
|
||||
)]
|
||||
pub fn next(&mut self) -> Option<Term<&[u8]>> {
|
||||
if self.advance() {
|
||||
Some(Term::wrap(self.current_streamers[0].streamer.key()))
|
||||
|
||||
@@ -35,7 +35,7 @@ mod tests {
|
||||
use core::Index;
|
||||
use directory::{Directory, RAMDirectory, ReadOnlySource};
|
||||
use postings::TermInfo;
|
||||
use schema::{Document, FieldType, Schema, TEXT};
|
||||
use schema::{Document, FieldType, SchemaBuilder, TEXT};
|
||||
use std::path::PathBuf;
|
||||
use std::str;
|
||||
|
||||
@@ -66,7 +66,7 @@ mod tests {
|
||||
let write = directory.open_write(&path).unwrap();
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(write, &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(write, &field_type).unwrap();
|
||||
for term in COUNTRIES.iter() {
|
||||
term_dictionary_builder
|
||||
.insert(term.as_bytes(), &make_term_info(0u64))
|
||||
@@ -92,7 +92,7 @@ mod tests {
|
||||
let write = directory.open_write(&path).unwrap();
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(write, &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(write, &field_type).unwrap();
|
||||
term_dictionary_builder
|
||||
.insert("abc".as_bytes(), &make_term_info(34u64))
|
||||
.unwrap();
|
||||
@@ -129,7 +129,7 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_term_iterator() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
{
|
||||
@@ -180,7 +180,7 @@ mod tests {
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let buffer: Vec<u8> = {
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(vec![], &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(vec![], &field_type).unwrap();
|
||||
for &(ref id, ref i) in &ids {
|
||||
term_dictionary_builder
|
||||
.insert(id.as_bytes(), &make_term_info(*i as u64))
|
||||
@@ -210,7 +210,7 @@ mod tests {
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let buffer: Vec<u8> = {
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(vec![], &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(vec![], &field_type).unwrap();
|
||||
// term requires more than 16bits
|
||||
term_dictionary_builder
|
||||
.insert("abcdefghijklmnopqrstuvwxy", &make_term_info(1))
|
||||
@@ -245,7 +245,7 @@ mod tests {
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let buffer: Vec<u8> = {
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(vec![], &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(vec![], &field_type).unwrap();
|
||||
for &(ref id, ref i) in &ids {
|
||||
term_dictionary_builder
|
||||
.insert(id.as_bytes(), &make_term_info(*i as u64))
|
||||
@@ -314,7 +314,7 @@ mod tests {
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let buffer: Vec<u8> = {
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(vec![], &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(vec![], &field_type).unwrap();
|
||||
term_dictionary_builder
|
||||
.insert(&[], &make_term_info(1 as u64))
|
||||
.unwrap();
|
||||
@@ -338,7 +338,7 @@ mod tests {
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let buffer: Vec<u8> = {
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(vec![], &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(vec![], &field_type).unwrap();
|
||||
for i in 0u8..10u8 {
|
||||
let number_arr = [i; 1];
|
||||
term_dictionary_builder
|
||||
@@ -408,7 +408,7 @@ mod tests {
|
||||
let write = directory.open_write(&path).unwrap();
|
||||
let field_type = FieldType::Str(TEXT);
|
||||
let mut term_dictionary_builder =
|
||||
TermDictionaryBuilder::create(write, &field_type).unwrap();
|
||||
TermDictionaryBuilder::new(write, &field_type).unwrap();
|
||||
for term in COUNTRIES.iter() {
|
||||
term_dictionary_builder
|
||||
.insert(term.as_bytes(), &make_term_info(0u64))
|
||||
|
||||
@@ -132,7 +132,10 @@ where
|
||||
}
|
||||
|
||||
/// Return the next `(key, value)` pair.
|
||||
#[cfg_attr(feature = "cargo-clippy", allow(clippy::should_implement_trait))]
|
||||
#[cfg_attr(
|
||||
feature = "cargo-clippy",
|
||||
allow(clippy::should_implement_trait)
|
||||
)]
|
||||
pub fn next(&mut self) -> Option<(&[u8], &TermInfo)> {
|
||||
if self.advance() {
|
||||
Some((self.key(), self.value()))
|
||||
|
||||
@@ -29,7 +29,7 @@ where
|
||||
W: Write,
|
||||
{
|
||||
/// Creates a new `TermDictionaryBuilder`
|
||||
pub fn create(w: W, _field_type: &FieldType) -> io::Result<Self> {
|
||||
pub fn new(w: W, _field_type: &FieldType) -> io::Result<Self> {
|
||||
let fst_builder = fst::MapBuilder::new(w).map_err(convert_fst_error)?;
|
||||
Ok(TermDictionaryBuilder {
|
||||
fst_builder,
|
||||
@@ -96,6 +96,9 @@ fn open_fst_index(source: ReadOnlySource) -> fst::Map {
|
||||
ReadOnlySource::Mmap(mmap_readonly) => {
|
||||
Fst::from_mmap(mmap_readonly).expect("FST data is corrupted")
|
||||
}
|
||||
ReadOnlySource::Static(data) => {
|
||||
Fst::from_static_slice(data).expect("FST data is corrupted")
|
||||
}
|
||||
};
|
||||
fst::Map::from(fst)
|
||||
}
|
||||
@@ -132,7 +135,7 @@ impl TermDictionary {
|
||||
/// Creates an empty term dictionary which contains no terms.
|
||||
pub fn empty(field_type: &FieldType) -> Self {
|
||||
let term_dictionary_data: Vec<u8> =
|
||||
TermDictionaryBuilder::create(Vec::<u8>::new(), &field_type)
|
||||
TermDictionaryBuilder::new(Vec::<u8>::new(), &field_type)
|
||||
.expect("Creating a TermDictionaryBuilder in a Vec<u8> should never fail")
|
||||
.finish()
|
||||
.expect("Writing in a Vec<u8> should never fail");
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
//! use tantivy::schema::*;
|
||||
//!
|
||||
//! # fn main() {
|
||||
//! let mut schema_builder = Schema::builder();
|
||||
//! let mut schema_builder = SchemaBuilder::new();
|
||||
//!
|
||||
//! let text_options = TextOptions::default()
|
||||
//! .set_indexing_options(
|
||||
@@ -82,12 +82,12 @@
|
||||
//!
|
||||
//! ```
|
||||
//! # extern crate tantivy;
|
||||
//! # use tantivy::schema::Schema;
|
||||
//! # use tantivy::schema::SchemaBuilder;
|
||||
//! # use tantivy::tokenizer::*;
|
||||
//! # use tantivy::Index;
|
||||
//! # fn main() {
|
||||
//! # let custom_en_tokenizer = SimpleTokenizer;
|
||||
//! # let schema = Schema::builder().build();
|
||||
//! # let schema = SchemaBuilder::new().build();
|
||||
//! let index = Index::create_in_ram(schema);
|
||||
//! index.tokenizers()
|
||||
//! .register("custom_en", custom_en_tokenizer);
|
||||
@@ -101,12 +101,12 @@
|
||||
//!
|
||||
//! ```
|
||||
//! extern crate tantivy;
|
||||
//! use tantivy::schema::{Schema, IndexRecordOption, TextOptions, TextFieldIndexing};
|
||||
//! use tantivy::schema::{SchemaBuilder, IndexRecordOption, TextOptions, TextFieldIndexing};
|
||||
//! use tantivy::tokenizer::*;
|
||||
//! use tantivy::Index;
|
||||
//!
|
||||
//! # fn main() {
|
||||
//! let mut schema_builder = Schema::builder();
|
||||
//! let mut schema_builder = SchemaBuilder::new();
|
||||
//! let text_field_indexing = TextFieldIndexing::default()
|
||||
//! .set_tokenizer("custom_en")
|
||||
//! .set_index_option(IndexRecordOption::WithFreqsAndPositions);
|
||||
@@ -157,32 +157,35 @@ pub use self::tokenizer::BoxedTokenizer;
|
||||
pub use self::tokenizer::{Token, TokenFilter, TokenStream, Tokenizer};
|
||||
pub use self::tokenizer_manager::TokenizerManager;
|
||||
|
||||
/// This is a function that can be used in tests and doc tests
|
||||
/// to assert a token's correctness.
|
||||
/// TODO: can this be wrapped in #[cfg(test)] so as not to be in the
|
||||
/// public api?
|
||||
pub fn assert_token(token: &Token, position: usize, text: &str, from: usize, to: usize) {
|
||||
assert_eq!(
|
||||
token.position, position,
|
||||
"expected position {} but {:?}",
|
||||
position, token
|
||||
);
|
||||
assert_eq!(token.text, text, "expected text {} but {:?}", text, token);
|
||||
assert_eq!(
|
||||
token.offset_from, from,
|
||||
"expected offset_from {} but {:?}",
|
||||
from, token
|
||||
);
|
||||
assert_eq!(
|
||||
token.offset_to, to,
|
||||
"expected offset_to {} but {:?}",
|
||||
to, token
|
||||
);
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
pub mod tests {
|
||||
pub mod test {
|
||||
use super::assert_token;
|
||||
use super::Token;
|
||||
use super::TokenizerManager;
|
||||
|
||||
/// This is a function that can be used in tests and doc tests
|
||||
/// to assert a token's correctness.
|
||||
pub fn assert_token(token: &Token, position: usize, text: &str, from: usize, to: usize) {
|
||||
assert_eq!(
|
||||
token.position, position,
|
||||
"expected position {} but {:?}",
|
||||
position, token
|
||||
);
|
||||
assert_eq!(token.text, text, "expected text {} but {:?}", text, token);
|
||||
assert_eq!(
|
||||
token.offset_from, from,
|
||||
"expected offset_from {} but {:?}",
|
||||
from, token
|
||||
);
|
||||
assert_eq!(
|
||||
token.offset_to, to,
|
||||
"expected offset_to {} but {:?}",
|
||||
to, token
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_raw_tokenizer() {
|
||||
let tokenizer_manager = TokenizerManager::default();
|
||||
@@ -221,6 +224,72 @@ pub mod tests {
|
||||
assert_token(&tokens[3], 3, "payer", 17, 22);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_tokenizer() {
|
||||
use super::{LowerCaser, NgramTokenizer};
|
||||
use tokenizer::tokenizer::TokenStream;
|
||||
use tokenizer::tokenizer::Tokenizer;
|
||||
|
||||
let tokenizer_manager = TokenizerManager::default();
|
||||
tokenizer_manager.register("ngram12", NgramTokenizer::new(1, 2, false));
|
||||
tokenizer_manager.register(
|
||||
"ngram3",
|
||||
NgramTokenizer::new(3, 3, false).filter(LowerCaser),
|
||||
);
|
||||
tokenizer_manager.register(
|
||||
"edgegram5",
|
||||
NgramTokenizer::new(2, 5, true).filter(LowerCaser),
|
||||
);
|
||||
|
||||
let tokenizer = NgramTokenizer::new(1, 2, false);
|
||||
let mut tokens: Vec<Token> = vec![];
|
||||
{
|
||||
let mut add_token = |token: &Token| {
|
||||
tokens.push(token.clone());
|
||||
};
|
||||
tokenizer.token_stream("hello").process(&mut add_token);
|
||||
}
|
||||
assert_eq!(tokens.len(), 9);
|
||||
assert_token(&tokens[0], 0, "h", 0, 1);
|
||||
assert_token(&tokens[1], 0, "he", 0, 2);
|
||||
assert_token(&tokens[2], 1, "e", 1, 2);
|
||||
assert_token(&tokens[3], 1, "el", 1, 3);
|
||||
assert_token(&tokens[4], 2, "l", 2, 3);
|
||||
assert_token(&tokens[5], 2, "ll", 2, 4);
|
||||
assert_token(&tokens[6], 3, "l", 3, 4);
|
||||
assert_token(&tokens[7], 3, "lo", 3, 5);
|
||||
assert_token(&tokens[8], 4, "o", 4, 5);
|
||||
|
||||
let tokenizer = tokenizer_manager.get("ngram3").unwrap();
|
||||
let mut tokens: Vec<Token> = vec![];
|
||||
{
|
||||
let mut add_token = |token: &Token| {
|
||||
tokens.push(token.clone());
|
||||
};
|
||||
tokenizer.token_stream("Hello").process(&mut add_token);
|
||||
}
|
||||
assert_eq!(tokens.len(), 3);
|
||||
assert_token(&tokens[0], 0, "hel", 0, 3);
|
||||
assert_token(&tokens[1], 1, "ell", 1, 4);
|
||||
assert_token(&tokens[2], 2, "llo", 2, 5);
|
||||
|
||||
let tokenizer = tokenizer_manager.get("edgegram5").unwrap();
|
||||
let mut tokens: Vec<Token> = vec![];
|
||||
{
|
||||
let mut add_token = |token: &Token| {
|
||||
tokens.push(token.clone());
|
||||
};
|
||||
tokenizer
|
||||
.token_stream("Frankenstein")
|
||||
.process(&mut add_token);
|
||||
}
|
||||
assert_eq!(tokens.len(), 4);
|
||||
assert_token(&tokens[0], 0, "fr", 0, 2);
|
||||
assert_token(&tokens[1], 0, "fra", 0, 3);
|
||||
assert_token(&tokens[2], 0, "fran", 0, 4);
|
||||
assert_token(&tokens[3], 0, "frank", 0, 5);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_tokenizer_empty() {
|
||||
let tokenizer_manager = TokenizerManager::default();
|
||||
|
||||
@@ -2,15 +2,14 @@ use super::{Token, TokenStream, Tokenizer};
|
||||
|
||||
/// Tokenize the text by splitting words into n-grams of the given size(s)
|
||||
///
|
||||
/// With this tokenizer, the `position` is always 0.
|
||||
/// Beware however, in presence of multiple value for the same field,
|
||||
/// the position will be `POSITION_GAP * index of value`.
|
||||
/// With this tokenizer, the `position` field expresses the starting offset of the ngram
|
||||
/// rather than the `token` offset.
|
||||
///
|
||||
/// Example 1: `hello` would be tokenized as (min_gram: 2, max_gram: 3, prefix_only: false)
|
||||
///
|
||||
/// | Term | he | hel | el | ell | ll | llo | lo |
|
||||
/// |----------|-----|-----|-----|-----|-----|-----|----|
|
||||
/// | Position | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
||||
/// | Position | 0 | 0 | 1 | 1 | 2 | 2 | 3 |
|
||||
/// | Offsets | 0,2 | 0,3 | 1,3 | 1,4 | 2,4 | 2,5 | 3,5|
|
||||
///
|
||||
/// Example 2: `hello` would be tokenized as (min_gram: 2, max_gram: 5, prefix_only: **true**)
|
||||
@@ -20,63 +19,24 @@ use super::{Token, TokenStream, Tokenizer};
|
||||
/// | Position | 0 | 0 | 0 | 0 |
|
||||
/// | Offsets | 0,2 | 0,3 | 0,4 | 0,5 |
|
||||
///
|
||||
/// Example 3: `hεllo` (non-ascii) would be tokenized as (min_gram: 2, max_gram: 5, prefix_only: **true**)
|
||||
///
|
||||
/// | Term | hε | hεl | hεll | hεllo |
|
||||
/// |----------|-----|-----|-------|-------|
|
||||
/// | Position | 0 | 0 | 0 | 0 |
|
||||
/// | Offsets | 0,3 | 0,4 | 0,5 | 0,6 |
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// ```
|
||||
/// # extern crate tantivy;
|
||||
/// extern crate tantivy;
|
||||
/// use tantivy::tokenizer::*;
|
||||
/// use tantivy::tokenizer::assert_token;
|
||||
///
|
||||
/// # fn main() {
|
||||
/// let tokenizer = NgramTokenizer::new(2, 3, false);
|
||||
/// let mut stream = tokenizer.token_stream("hello");
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "he");
|
||||
/// assert_eq!(token.offset_from, 0);
|
||||
/// assert_eq!(token.offset_to, 2);
|
||||
/// }
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "hel");
|
||||
/// assert_eq!(token.offset_from, 0);
|
||||
/// assert_eq!(token.offset_to, 3);
|
||||
/// }
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "el");
|
||||
/// assert_eq!(token.offset_from, 1);
|
||||
/// assert_eq!(token.offset_to, 3);
|
||||
/// }
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "ell");
|
||||
/// assert_eq!(token.offset_from, 1);
|
||||
/// assert_eq!(token.offset_to, 4);
|
||||
/// }
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "ll");
|
||||
/// assert_eq!(token.offset_from, 2);
|
||||
/// assert_eq!(token.offset_to, 4);
|
||||
/// }
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "llo");
|
||||
/// assert_eq!(token.offset_from, 2);
|
||||
/// assert_eq!(token.offset_to, 5);
|
||||
/// }
|
||||
/// {
|
||||
/// let token = stream.next().unwrap();
|
||||
/// assert_eq!(token.text, "lo");
|
||||
/// assert_eq!(token.offset_from, 3);
|
||||
/// assert_eq!(token.offset_to, 5);
|
||||
/// }
|
||||
///
|
||||
/// assert_token(stream.next().unwrap(), 0, "he", 0, 2);
|
||||
/// assert_token(stream.next().unwrap(), 0, "hel", 0, 3);
|
||||
/// assert_token(stream.next().unwrap(), 1, "el", 1, 3);
|
||||
/// assert_token(stream.next().unwrap(), 1, "ell", 1, 4);
|
||||
/// assert_token(stream.next().unwrap(), 2, "ll", 2, 4);
|
||||
/// assert_token(stream.next().unwrap(), 2, "llo", 2, 5);
|
||||
/// assert_token(stream.next().unwrap(), 3, "lo", 3, 5);
|
||||
/// assert!(stream.next().is_none());
|
||||
/// # }
|
||||
/// ```
|
||||
@@ -98,37 +58,23 @@ impl NgramTokenizer {
|
||||
min_gram <= max_gram,
|
||||
"min_gram must not be greater than max_gram"
|
||||
);
|
||||
|
||||
NgramTokenizer {
|
||||
min_gram,
|
||||
max_gram,
|
||||
prefix_only,
|
||||
}
|
||||
}
|
||||
|
||||
/// Create a `NGramTokenizer` which generates tokens for all inner ngrams.
|
||||
///
|
||||
/// This is as opposed to only prefix ngrams .
|
||||
pub fn all_ngrams(min_gram: usize, max_gram: usize) -> NgramTokenizer {
|
||||
Self::new(min_gram, max_gram, false)
|
||||
}
|
||||
|
||||
/// Create a `NGramTokenizer` which only generates tokens for the
|
||||
/// prefix ngrams.
|
||||
pub fn prefix_only(min_gram: usize, max_gram: usize) -> NgramTokenizer {
|
||||
Self::new(min_gram, max_gram, true)
|
||||
}
|
||||
}
|
||||
|
||||
/// TokenStream associate to the `NgramTokenizer`
|
||||
pub struct NgramTokenStream<'a> {
|
||||
/// parameters
|
||||
ngram_charidx_iterator: StutteringIterator<CodepointFrontiers<'a>>,
|
||||
/// true if the NgramTokenStream is in prefix mode.
|
||||
prefix_only: bool,
|
||||
/// input
|
||||
text: &'a str,
|
||||
/// output
|
||||
position: usize,
|
||||
text_length: usize,
|
||||
token: Token,
|
||||
min_gram: usize,
|
||||
max_gram: usize,
|
||||
gram_size: usize,
|
||||
prefix_only: bool,
|
||||
}
|
||||
|
||||
impl<'a> Tokenizer<'a> for NgramTokenizer {
|
||||
@@ -136,29 +82,65 @@ impl<'a> Tokenizer<'a> for NgramTokenizer {
|
||||
|
||||
fn token_stream(&self, text: &'a str) -> Self::TokenStreamImpl {
|
||||
NgramTokenStream {
|
||||
ngram_charidx_iterator: StutteringIterator::new(
|
||||
CodepointFrontiers::for_str(text),
|
||||
self.min_gram,
|
||||
self.max_gram,
|
||||
),
|
||||
prefix_only: self.prefix_only,
|
||||
text,
|
||||
position: 0,
|
||||
text_length: text.len(),
|
||||
token: Token::default(),
|
||||
min_gram: self.min_gram,
|
||||
max_gram: self.max_gram,
|
||||
prefix_only: self.prefix_only,
|
||||
gram_size: self.min_gram,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> NgramTokenStream<'a> {
|
||||
/// Get the next set of token options
|
||||
/// cycle through 1,2 (min..=max)
|
||||
/// returning None if processing should stop
|
||||
fn chomp(&mut self) -> Option<(usize, usize)> {
|
||||
// Have we exceeded the bounds of the text we are indexing?
|
||||
if self.gram_size > self.max_gram {
|
||||
if self.prefix_only {
|
||||
return None;
|
||||
}
|
||||
|
||||
// since we aren't just processing edges
|
||||
// we need to reset the gram size
|
||||
self.gram_size = self.min_gram;
|
||||
|
||||
// and move down the chain of letters
|
||||
self.position += 1;
|
||||
}
|
||||
|
||||
let result = if (self.position + self.gram_size) <= self.text_length {
|
||||
Some((self.position, self.gram_size))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
// increase the gram size for the next pass
|
||||
self.gram_size += 1;
|
||||
|
||||
result
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> TokenStream for NgramTokenStream<'a> {
|
||||
fn advance(&mut self) -> bool {
|
||||
if let Some((offset_from, offset_to)) = self.ngram_charidx_iterator.next() {
|
||||
if self.prefix_only && offset_from > 0 {
|
||||
return false;
|
||||
}
|
||||
self.token.position = 0;
|
||||
// clear out working token text
|
||||
self.token.text.clear();
|
||||
|
||||
if let Some((position, size)) = self.chomp() {
|
||||
self.token.position = position;
|
||||
let offset_from = position;
|
||||
let offset_to = offset_from + size;
|
||||
|
||||
self.token.offset_from = offset_from;
|
||||
self.token.offset_to = offset_to;
|
||||
self.token.text.clear();
|
||||
|
||||
self.token.text.push_str(&self.text[offset_from..offset_to]);
|
||||
|
||||
true
|
||||
} else {
|
||||
false
|
||||
@@ -168,298 +150,8 @@ impl<'a> TokenStream for NgramTokenStream<'a> {
|
||||
fn token(&self) -> &Token {
|
||||
&self.token
|
||||
}
|
||||
|
||||
fn token_mut(&mut self) -> &mut Token {
|
||||
&mut self.token
|
||||
}
|
||||
}
|
||||
|
||||
/// This iterator takes an underlying Iterator
|
||||
/// and emits all of the pairs `(a,b)` such that
|
||||
/// a and b are items emitted by the iterator at
|
||||
/// an interval between `min_gram` and `max_gram`.
|
||||
///
|
||||
/// The elements are emitted in the order of appearance
|
||||
/// of `a` first, `b` then.
|
||||
///
|
||||
/// See `test_stutterring_iterator` for an example of its
|
||||
/// output.
|
||||
struct StutteringIterator<T> {
|
||||
underlying: T,
|
||||
min_gram: usize,
|
||||
max_gram: usize,
|
||||
|
||||
memory: Vec<usize>,
|
||||
cursor: usize,
|
||||
gram_len: usize,
|
||||
}
|
||||
|
||||
impl<T> StutteringIterator<T>
|
||||
where
|
||||
T: Iterator<Item = usize>,
|
||||
{
|
||||
pub fn new(mut underlying: T, min_gram: usize, max_gram: usize) -> StutteringIterator<T> {
|
||||
assert!(min_gram > 0);
|
||||
let memory: Vec<usize> = (&mut underlying).take(max_gram + 1).collect();
|
||||
if memory.len() <= min_gram {
|
||||
// returns an empty iterator
|
||||
StutteringIterator {
|
||||
underlying,
|
||||
min_gram: 1,
|
||||
max_gram: 0,
|
||||
memory,
|
||||
cursor: 0,
|
||||
gram_len: 0,
|
||||
}
|
||||
} else {
|
||||
StutteringIterator {
|
||||
underlying,
|
||||
min_gram,
|
||||
max_gram: memory.len() - 1,
|
||||
memory,
|
||||
cursor: 0,
|
||||
gram_len: min_gram,
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<T> Iterator for StutteringIterator<T>
|
||||
where
|
||||
T: Iterator<Item = usize>,
|
||||
{
|
||||
type Item = (usize, usize);
|
||||
|
||||
fn next(&mut self) -> Option<(usize, usize)> {
|
||||
if self.gram_len > self.max_gram {
|
||||
// we have exhausted all options
|
||||
// starting at `self.memory[self.cursor]`.
|
||||
//
|
||||
// Time to advance.
|
||||
self.gram_len = self.min_gram;
|
||||
if let Some(next_val) = self.underlying.next() {
|
||||
self.memory[self.cursor] = next_val;
|
||||
} else {
|
||||
self.max_gram -= 1;
|
||||
}
|
||||
self.cursor += 1;
|
||||
if self.cursor >= self.memory.len() {
|
||||
self.cursor = 0;
|
||||
}
|
||||
}
|
||||
if self.max_gram < self.min_gram {
|
||||
return None;
|
||||
}
|
||||
let start = self.memory[self.cursor % self.memory.len()];
|
||||
let stop = self.memory[(self.cursor + self.gram_len) % self.memory.len()];
|
||||
self.gram_len += 1;
|
||||
Some((start, stop))
|
||||
}
|
||||
}
|
||||
|
||||
/// Emits all of the offsets where a codepoint starts
|
||||
/// or a codepoint ends.
|
||||
///
|
||||
/// By convention, we emit [0] for the empty string.
|
||||
struct CodepointFrontiers<'a> {
|
||||
s: &'a str,
|
||||
next_el: Option<usize>,
|
||||
}
|
||||
|
||||
impl<'a> CodepointFrontiers<'a> {
|
||||
fn for_str(s: &'a str) -> Self {
|
||||
CodepointFrontiers {
|
||||
s,
|
||||
next_el: Some(0),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Iterator for CodepointFrontiers<'a> {
|
||||
type Item = usize;
|
||||
|
||||
fn next(&mut self) -> Option<usize> {
|
||||
self.next_el.map(|offset| {
|
||||
if self.s.is_empty() {
|
||||
self.next_el = None;
|
||||
} else {
|
||||
let first_codepoint_width = utf8_codepoint_width(self.s.as_bytes()[0]);
|
||||
self.s = &self.s[first_codepoint_width..];
|
||||
self.next_el = Some(offset + first_codepoint_width);
|
||||
}
|
||||
offset
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
const CODEPOINT_UTF8_WIDTH: [u8; 16] = [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 4];
|
||||
|
||||
// Number of bytes to encode a codepoint in UTF-8 given
|
||||
// the first byte.
|
||||
//
|
||||
// To do that we count the number of higher significant bits set to `1`.
|
||||
fn utf8_codepoint_width(b: u8) -> usize {
|
||||
let higher_4_bits = (b as usize) >> 4;
|
||||
CODEPOINT_UTF8_WIDTH[higher_4_bits] as usize
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use super::utf8_codepoint_width;
|
||||
use super::CodepointFrontiers;
|
||||
use super::NgramTokenizer;
|
||||
use super::StutteringIterator;
|
||||
use tokenizer::tests::assert_token;
|
||||
use tokenizer::tokenizer::{TokenStream, Tokenizer};
|
||||
use tokenizer::Token;
|
||||
|
||||
fn test_helper<T: TokenStream>(mut tokenizer: T) -> Vec<Token> {
|
||||
let mut tokens: Vec<Token> = vec![];
|
||||
tokenizer.process(&mut |token: &Token| tokens.push(token.clone()));
|
||||
tokens
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_utf8_codepoint_width() {
|
||||
// 0xxx
|
||||
for i in 0..128 {
|
||||
assert_eq!(utf8_codepoint_width(i), 1);
|
||||
}
|
||||
// 110xx
|
||||
for i in (128 | 64)..(128 | 64 | 32) {
|
||||
assert_eq!(utf8_codepoint_width(i), 2);
|
||||
}
|
||||
// 1110xx
|
||||
for i in (128 | 64 | 32)..(128 | 64 | 32 | 16) {
|
||||
assert_eq!(utf8_codepoint_width(i), 3);
|
||||
}
|
||||
// 1111xx
|
||||
for i in (128 | 64 | 32 | 16)..256 {
|
||||
assert_eq!(utf8_codepoint_width(i as u8), 4);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_codepoint_frontiers() {
|
||||
assert_eq!(CodepointFrontiers::for_str("").collect::<Vec<_>>(), vec![0]);
|
||||
assert_eq!(
|
||||
CodepointFrontiers::for_str("abcd").collect::<Vec<_>>(),
|
||||
vec![0, 1, 2, 3, 4]
|
||||
);
|
||||
assert_eq!(
|
||||
CodepointFrontiers::for_str("aあ").collect::<Vec<_>>(),
|
||||
vec![0, 1, 4]
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_tokenizer_1_2_false() {
|
||||
let tokens = test_helper(NgramTokenizer::all_ngrams(1, 2).token_stream("hello"));
|
||||
assert_eq!(tokens.len(), 9);
|
||||
assert_token(&tokens[0], 0, "h", 0, 1);
|
||||
assert_token(&tokens[1], 0, "he", 0, 2);
|
||||
assert_token(&tokens[2], 0, "e", 1, 2);
|
||||
assert_token(&tokens[3], 0, "el", 1, 3);
|
||||
assert_token(&tokens[4], 0, "l", 2, 3);
|
||||
assert_token(&tokens[5], 0, "ll", 2, 4);
|
||||
assert_token(&tokens[6], 0, "l", 3, 4);
|
||||
assert_token(&tokens[7], 0, "lo", 3, 5);
|
||||
assert_token(&tokens[8], 0, "o", 4, 5);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_tokenizer_min_max_equal() {
|
||||
let tokens = test_helper(NgramTokenizer::all_ngrams(3, 3).token_stream("hello"));
|
||||
assert_eq!(tokens.len(), 3);
|
||||
assert_token(&tokens[0], 0, "hel", 0, 3);
|
||||
assert_token(&tokens[1], 0, "ell", 1, 4);
|
||||
assert_token(&tokens[2], 0, "llo", 2, 5);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_tokenizer_2_5_prefix() {
|
||||
let tokens = test_helper(NgramTokenizer::prefix_only(2, 5).token_stream("frankenstein"));
|
||||
assert_eq!(tokens.len(), 4);
|
||||
assert_token(&tokens[0], 0, "fr", 0, 2);
|
||||
assert_token(&tokens[1], 0, "fra", 0, 3);
|
||||
assert_token(&tokens[2], 0, "fran", 0, 4);
|
||||
assert_token(&tokens[3], 0, "frank", 0, 5);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_non_ascii_1_2() {
|
||||
let tokens = test_helper(NgramTokenizer::all_ngrams(1, 2).token_stream("hεllo"));
|
||||
assert_eq!(tokens.len(), 9);
|
||||
assert_token(&tokens[0], 0, "h", 0, 1);
|
||||
assert_token(&tokens[1], 0, "hε", 0, 3);
|
||||
assert_token(&tokens[2], 0, "ε", 1, 3);
|
||||
assert_token(&tokens[3], 0, "εl", 1, 4);
|
||||
assert_token(&tokens[4], 0, "l", 3, 4);
|
||||
assert_token(&tokens[5], 0, "ll", 3, 5);
|
||||
assert_token(&tokens[6], 0, "l", 4, 5);
|
||||
assert_token(&tokens[7], 0, "lo", 4, 6);
|
||||
assert_token(&tokens[8], 0, "o", 5, 6);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_non_ascii_2_5_prefix() {
|
||||
let tokens = test_helper(NgramTokenizer::prefix_only(2, 5).token_stream("hεllo"));
|
||||
assert_eq!(tokens.len(), 4);
|
||||
assert_token(&tokens[0], 0, "hε", 0, 3);
|
||||
assert_token(&tokens[1], 0, "hεl", 0, 4);
|
||||
assert_token(&tokens[2], 0, "hεll", 0, 5);
|
||||
assert_token(&tokens[3], 0, "hεllo", 0, 6);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ngram_empty() {
|
||||
let tokens = test_helper(NgramTokenizer::all_ngrams(1, 5).token_stream(""));
|
||||
assert!(tokens.is_empty());
|
||||
let tokens = test_helper(NgramTokenizer::all_ngrams(2, 5).token_stream(""));
|
||||
assert!(tokens.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic(expected = "min_gram must be greater than 0")]
|
||||
fn test_ngram_min_max_interval_empty() {
|
||||
test_helper(NgramTokenizer::all_ngrams(0, 2).token_stream("hellossss"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic(expected = "min_gram must not be greater than max_gram")]
|
||||
fn test_invalid_interval_should_panic_if_smaller() {
|
||||
NgramTokenizer::all_ngrams(2, 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_stutterring_iterator_empty() {
|
||||
let rg: Vec<usize> = vec![0];
|
||||
let mut it = StutteringIterator::new(rg.into_iter(), 1, 2);
|
||||
assert_eq!(it.next(), None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_stutterring_iterator() {
|
||||
let rg: Vec<usize> = (0..10).collect();
|
||||
let mut it = StutteringIterator::new(rg.into_iter(), 1, 2);
|
||||
assert_eq!(it.next(), Some((0, 1)));
|
||||
assert_eq!(it.next(), Some((0, 2)));
|
||||
assert_eq!(it.next(), Some((1, 2)));
|
||||
assert_eq!(it.next(), Some((1, 3)));
|
||||
assert_eq!(it.next(), Some((2, 3)));
|
||||
assert_eq!(it.next(), Some((2, 4)));
|
||||
assert_eq!(it.next(), Some((3, 4)));
|
||||
assert_eq!(it.next(), Some((3, 5)));
|
||||
assert_eq!(it.next(), Some((4, 5)));
|
||||
assert_eq!(it.next(), Some((4, 6)));
|
||||
assert_eq!(it.next(), Some((5, 6)));
|
||||
assert_eq!(it.next(), Some((5, 7)));
|
||||
assert_eq!(it.next(), Some((6, 7)));
|
||||
assert_eq!(it.next(), Some((6, 8)));
|
||||
assert_eq!(it.next(), Some((7, 8)));
|
||||
assert_eq!(it.next(), Some((7, 9)));
|
||||
assert_eq!(it.next(), Some((8, 9)));
|
||||
assert_eq!(it.next(), None);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user