Files
tantivy/src/query/boolean_query/boolean_query.rs
Harrison Burt 1c7c6fd591 POC: Tantivy documents as a trait (#2071)
* fix windows build (#1)

* Fix windows build

* Add doc traits

* Add field value iter

* Add value and serialization

* Adjust order

* Fix bug

* Correct type

* Fix generic bugs

* Reformat code

* Add generic to index writer which I forgot about

* Fix missing generics on single segment writer

* Add missing type export

* Add default methods for convenience

* Cleanup

* Fix more-like-this query to use standard types

* Update API and fix tests

* Add doc traits

* Add field value iter

* Add value and serialization

* Adjust order

* Fix bug

* Correct type

* Rebase main and fix conflicts

* Reformat code

* Merge upstream

* Fix missing generics on single segment writer

* Add missing type export

* Add default methods for convenience

* Cleanup

* Fix more-like-this query to use standard types

* Update API and fix tests

* Add tokenizer improvements from previous commits

* Add tokenizer improvements from previous commits

* Reformat

* Fix unit tests

* Fix unit tests

* Use enum in changes

* Stage changes

* Add new deserializer logic

* Add serializer integration

* Add document deserializer

* Implement new (de)serialization api for existing types

* Fix bugs and type errors

* Add helper implementations

* Fix errors

* Reformat code

* Add unit tests and some code organisation for serialization

* Add unit tests to deserializer

* Add some small docs

* Add support for deserializing serde values

* Reformat

* Fix typo

* Fix typo

* Change repr of facet

* Remove unused trait methods

* Add child value type

* Resolve comments

* Fix build

* Fix more build errors

* Fix more build errors

* Fix the tests I missed

* Fix examples

* fix numerical order, serialize PreTok Str

* fix coverage

* rename Document to TantivyDocument, rename DocumentAccess to Document

add Binary prefix to binary de/serialization

* fix coverage

---------

Co-authored-by: Pascal Seitz <pascal.seitz@gmail.com>
2023-10-02 10:01:16 +02:00

324 lines
12 KiB
Rust

use super::boolean_weight::BooleanWeight;
use crate::query::{EnableScoring, Occur, Query, SumWithCoordsCombiner, TermQuery, Weight};
use crate::schema::{IndexRecordOption, Term};
/// The boolean query returns a set of documents
/// that matches the Boolean combination of constituent subqueries.
///
/// The documents matched by the boolean query are
/// those which
/// * match all of the sub queries associated with the
/// `Must` occurrence
/// * match none of the sub queries associated with the
/// `MustNot` occurrence.
/// * match at least one of the sub queries associated
/// with the `Must` or `Should` occurrence.
///
///
/// You can combine other query types and their `Occur`ances into one `BooleanQuery`
///
/// ```rust
/// use tantivy::collector::Count;
/// use tantivy::doc;
/// use tantivy::query::{BooleanQuery, Occur, PhraseQuery, Query, TermQuery};
/// use tantivy::schema::{IndexRecordOption, Schema, TEXT};
/// use tantivy::Term;
/// use tantivy::Index;
/// use tantivy::IndexWriter;
///
/// fn main() -> tantivy::Result<()> {
/// let mut schema_builder = Schema::builder();
/// let title = schema_builder.add_text_field("title", TEXT);
/// let body = schema_builder.add_text_field("body", TEXT);
/// let schema = schema_builder.build();
/// let index = Index::create_in_ram(schema);
/// {
/// let mut index_writer: IndexWriter = index.writer(15_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",
/// body => "hidden",
/// ))?;
/// index_writer.add_document(doc!(
/// title => "A Dairy Cow",
/// body => "found",
/// ))?;
/// index_writer.add_document(doc!(
/// title => "The Diary of a Young Girl",
/// ))?;
/// index_writer.commit()?;
/// }
///
/// let reader = index.reader()?;
/// let searcher = reader.searcher();
///
/// // Make TermQuery's for "girl" and "diary" in the title
/// let girl_term_query: Box<dyn Query> = Box::new(TermQuery::new(
/// Term::from_field_text(title, "girl"),
/// IndexRecordOption::Basic,
/// ));
/// let diary_term_query: Box<dyn Query> = Box::new(TermQuery::new(
/// Term::from_field_text(title, "diary"),
/// IndexRecordOption::Basic,
/// ));
/// // A TermQuery with "found" in the body
/// let body_term_query: Box<dyn Query> = Box::new(TermQuery::new(
/// Term::from_field_text(body, "found"),
/// IndexRecordOption::Basic,
/// ));
/// // TermQuery "diary" must and "girl" must not be present
/// let queries_with_occurs1 = vec![
/// (Occur::Must, diary_term_query.box_clone()),
/// (Occur::MustNot, girl_term_query),
/// ];
/// // Make a BooleanQuery equivalent to
/// // title:+diary title:-girl
/// let diary_must_and_girl_mustnot = BooleanQuery::new(queries_with_occurs1);
/// let count1 = searcher.search(&diary_must_and_girl_mustnot, &Count)?;
/// assert_eq!(count1, 1);
///
/// // TermQuery for "cow" in the title
/// let cow_term_query: Box<dyn Query> = Box::new(TermQuery::new(
/// Term::from_field_text(title, "cow"),
/// IndexRecordOption::Basic,
/// ));
/// // "title:diary OR title:cow"
/// let title_diary_or_cow = BooleanQuery::new(vec![
/// (Occur::Should, diary_term_query.box_clone()),
/// (Occur::Should, cow_term_query),
/// ]);
/// let count2 = searcher.search(&title_diary_or_cow, &Count)?;
/// assert_eq!(count2, 4);
///
/// // Make a `PhraseQuery` from a vector of `Term`s
/// let phrase_query: Box<dyn Query> = Box::new(PhraseQuery::new(vec![
/// Term::from_field_text(title, "dairy"),
/// Term::from_field_text(title, "cow"),
/// ]));
/// // You can combine subqueries of different types into 1 BooleanQuery:
/// // `TermQuery` and `PhraseQuery`
/// // "title:diary OR "dairy cow"
/// let term_of_phrase_query = BooleanQuery::new(vec![
/// (Occur::Should, diary_term_query.box_clone()),
/// (Occur::Should, phrase_query.box_clone()),
/// ]);
/// let count3 = searcher.search(&term_of_phrase_query, &Count)?;
/// assert_eq!(count3, 4);
///
/// // You can nest one BooleanQuery inside another
/// // body:found AND ("title:diary OR "dairy cow")
/// let nested_query = BooleanQuery::new(vec![
/// (Occur::Must, body_term_query),
/// (Occur::Must, Box::new(term_of_phrase_query))
/// ]);
/// let count4 = searcher.search(&nested_query, &Count)?;
/// assert_eq!(count4, 1);
/// Ok(())
/// }
/// ```
#[derive(Debug)]
pub struct BooleanQuery {
subqueries: Vec<(Occur, Box<dyn Query>)>,
}
impl Clone for BooleanQuery {
fn clone(&self) -> Self {
self.subqueries
.iter()
.map(|(occur, subquery)| (*occur, subquery.box_clone()))
.collect::<Vec<_>>()
.into()
}
}
impl From<Vec<(Occur, Box<dyn Query>)>> for BooleanQuery {
fn from(subqueries: Vec<(Occur, Box<dyn Query>)>) -> BooleanQuery {
BooleanQuery::new(subqueries)
}
}
impl Query for BooleanQuery {
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
let sub_weights = self
.subqueries
.iter()
.map(|(occur, subquery)| Ok((*occur, subquery.weight(enable_scoring)?)))
.collect::<crate::Result<_>>()?;
Ok(Box::new(BooleanWeight::new(
sub_weights,
enable_scoring.is_scoring_enabled(),
Box::new(SumWithCoordsCombiner::default),
)))
}
fn query_terms<'a>(&'a self, visitor: &mut dyn FnMut(&'a Term, bool)) {
for (_occur, subquery) in &self.subqueries {
subquery.query_terms(visitor);
}
}
}
impl BooleanQuery {
/// Creates a new boolean query.
pub fn new(subqueries: Vec<(Occur, Box<dyn Query>)>) -> BooleanQuery {
BooleanQuery { subqueries }
}
/// Returns the intersection of the queries.
pub fn intersection(queries: Vec<Box<dyn Query>>) -> BooleanQuery {
let subqueries = queries.into_iter().map(|s| (Occur::Must, s)).collect();
BooleanQuery::new(subqueries)
}
/// Returns the union of the queries.
pub fn union(queries: Vec<Box<dyn Query>>) -> BooleanQuery {
let subqueries = queries.into_iter().map(|s| (Occur::Should, s)).collect();
BooleanQuery::new(subqueries)
}
/// Helper method to create a boolean query matching a given list of terms.
/// The resulting query is a disjunction of the terms.
pub fn new_multiterms_query(terms: Vec<Term>) -> BooleanQuery {
let occur_term_queries: Vec<(Occur, Box<dyn Query>)> = terms
.into_iter()
.map(|term| {
let term_query: Box<dyn Query> =
Box::new(TermQuery::new(term, IndexRecordOption::WithFreqs));
(Occur::Should, term_query)
})
.collect();
BooleanQuery::new(occur_term_queries)
}
/// Deconstructed view of the clauses making up this query.
pub fn clauses(&self) -> &[(Occur, Box<dyn Query>)] {
&self.subqueries[..]
}
}
#[cfg(test)]
mod tests {
use super::BooleanQuery;
use crate::collector::{Count, DocSetCollector};
use crate::query::{QueryClone, QueryParser, TermQuery};
use crate::schema::{IndexRecordOption, Schema, TEXT};
use crate::{DocAddress, Index, Term};
fn create_test_index() -> crate::Result<Index> {
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 writer = index.writer_for_tests()?;
writer.add_document(doc!(text=>"b c"))?;
writer.add_document(doc!(text=>"a c"))?;
writer.add_document(doc!(text=>"a b"))?;
writer.add_document(doc!(text=>"a d"))?;
writer.commit()?;
Ok(index)
}
#[test]
fn test_union() -> crate::Result<()> {
let index = create_test_index()?;
let searcher = index.reader()?.searcher();
let text = index.schema().get_field("text").unwrap();
let term_a = TermQuery::new(Term::from_field_text(text, "a"), IndexRecordOption::Basic);
let term_d = TermQuery::new(Term::from_field_text(text, "d"), IndexRecordOption::Basic);
let union_ad = BooleanQuery::union(vec![term_a.box_clone(), term_d.box_clone()]);
let docs = searcher.search(&union_ad, &DocSetCollector)?;
assert_eq!(
docs,
vec![
DocAddress::new(0u32, 1u32),
DocAddress::new(0u32, 2u32),
DocAddress::new(0u32, 3u32)
]
.into_iter()
.collect()
);
Ok(())
}
#[test]
fn test_intersection() -> crate::Result<()> {
let index = create_test_index()?;
let searcher = index.reader()?.searcher();
let text = index.schema().get_field("text").unwrap();
let term_a = TermQuery::new(Term::from_field_text(text, "a"), IndexRecordOption::Basic);
let term_b = TermQuery::new(Term::from_field_text(text, "b"), IndexRecordOption::Basic);
let term_c = TermQuery::new(Term::from_field_text(text, "c"), IndexRecordOption::Basic);
let intersection_ab =
BooleanQuery::intersection(vec![term_a.box_clone(), term_b.box_clone()]);
let intersection_ac =
BooleanQuery::intersection(vec![term_a.box_clone(), term_c.box_clone()]);
let intersection_bc =
BooleanQuery::intersection(vec![term_b.box_clone(), term_c.box_clone()]);
{
let docs = searcher.search(&intersection_ab, &DocSetCollector)?;
assert_eq!(
docs,
vec![DocAddress::new(0u32, 2u32)].into_iter().collect()
);
}
{
let docs = searcher.search(&intersection_ac, &DocSetCollector)?;
assert_eq!(
docs,
vec![DocAddress::new(0u32, 1u32)].into_iter().collect()
);
}
{
let docs = searcher.search(&intersection_bc, &DocSetCollector)?;
assert_eq!(
docs,
vec![DocAddress::new(0u32, 0u32)].into_iter().collect()
);
}
Ok(())
}
#[test]
pub fn test_json_array_pitfall_bag_of_terms() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let json_field = schema_builder.add_json_field("json", TEXT);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
{
let mut index_writer = index.writer_for_tests()?;
index_writer.add_document(doc!(json_field=>json!({
"cart": [
{"product_type": "sneakers", "attributes": {"color": "white"}},
{"product_type": "t-shirt", "attributes": {"color": "red"}},
{"product_type": "cd", "attributes": {"genre": "blues"}},
]
})))?;
index_writer.commit()?;
}
let searcher = index.reader()?.searcher();
let doc_matches = |query: &str| {
let query_parser = QueryParser::for_index(&index, vec![json_field]);
let query = query_parser.parse_query(query).unwrap();
searcher.search(&query, &Count).unwrap() == 1
};
// As expected
assert!(doc_matches(
r#"cart.product_type:sneakers AND cart.attributes.color:white"#
));
// Unexpected match, due to the fact that array do not act as nested docs.
assert!(doc_matches(
r#"cart.product_type:sneakers AND cart.attributes.color:red"#
));
// However, bviously this works...
assert!(!doc_matches(
r#"cart.product_type:sneakers AND cart.attributes.color:blues"#
));
Ok(())
}
}