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1 Commits

Author SHA1 Message Date
Paul Masurel
790baa7adf Integrated state into TermDict streamer 2019-08-16 10:29:28 +09:00
59 changed files with 320 additions and 355 deletions

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@@ -41,8 +41,8 @@ matrix:
- env: TARGET=x86_64-unknown-linux-gnu CODECOV=1 #UPLOAD_DOCS=1
# - env: TARGET=x86_64-unknown-linux-musl CODECOV=1
# OSX
- env: TARGET=x86_64-apple-darwin
os: osx
#- env: TARGET=x86_64-apple-darwin
# os: osx
before_install:
- set -e

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@@ -7,13 +7,10 @@ Tantivy 0.11.0
- Better handling of whitespaces.
- Closes #498 - add support for Elastic-style unbounded range queries for alphanumeric types eg. "title:>hello", "weight:>=70.5", "height:<200" (@petr-tik)
- API change around `Box<BoxableTokenizer>`. See detail in #629
- Avoid rebuilding Regex automaton whenever a regex query is reused. #630 (@brainlock)
## How to update?
- `Box<dyn BoxableTokenizer>` has been replaced by a `BoxedTokenizer` struct.
- Regex are now compiled when the `RegexQuery` instance is built. As a result, it can now return
an error and handling the `Result` is required.
`Box<dyn BoxableTokenizer>` has been replaced by a `BoxedTokenizer` struct.
Tantivy 0.10.1
=====================

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@@ -15,15 +15,16 @@ edition = "2018"
[dependencies]
base64 = "0.10.0"
byteorder = "1.0"
once_cell = "1.0"
regex ={version = "1.3.0", default-features = false, features = ["std"]}
tantivy-fst = "0.1"
once_cell = "0.2"
regex = "1.0"
tantivy-fst = {git="https://github.com/tantivy-search/fst"}
memmap = {version = "0.7", optional=true}
lz4 = {version="1.20", optional=true}
snap = {version="0.2"}
atomicwrites = {version="0.2.2", optional=true}
tempfile = "3.0"
log = "0.4"
combine = ">=3.6.0,<4.0.0"
serde = "1.0"
serde_derive = "1.0"
serde_json = "1.0"
@@ -41,7 +42,6 @@ owning_ref = "0.4"
stable_deref_trait = "1.0.0"
rust-stemmers = "1.1"
downcast-rs = { version="1.0" }
tantivy-query-grammar = { path="./query-grammar" }
bitpacking = {version="0.8", default-features = false, features=["bitpacker4x"]}
census = "0.2"
fnv = "1.0.6"
@@ -80,14 +80,10 @@ failpoints = ["fail/failpoints"]
unstable = [] # useful for benches.
wasm-bindgen = ["uuid/wasm-bindgen"]
[workspace]
members = ["query-grammar"]
[badges]
travis-ci = { repository = "tantivy-search/tantivy" }
[dev-dependencies.fail]
version = "0.3"
features = ["failpoints"]
# Following the "fail" crate best practises, we isolate

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@@ -1,3 +0,0 @@
test:
echo "Run test only... No examples."
cargo test --tests --lib

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@@ -7,7 +7,7 @@ set -ex
main() {
if [ ! -z $CODECOV ]; then
echo "Codecov"
cargo build --verbose && cargo coverage --verbose --all && bash <(curl -s https://codecov.io/bash) -s target/kcov
cargo build --verbose && cargo coverage --verbose && bash <(curl -s https://codecov.io/bash) -s target/kcov
else
echo "Build"
cross build --target $TARGET
@@ -15,8 +15,7 @@ main() {
return
fi
echo "Test"
cross test --target $TARGET --no-default-features --features mmap
cross test --target $TARGET --no-default-features --features mmap query-grammar
cross test --target $TARGET --no-default-features --features mmap -- --test-threads 1
fi
for example in $(ls examples/*.rs)
do

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@@ -5,17 +5,20 @@
//
// We will :
// - define our schema
// - create an index in a directory
// - index a few documents into our index
// - search for the best document matching a basic query
// - retrieve the best document's original content.
// = create an index in a directory
// - index few documents in our index
// - search for the best document matchings "sea whale"
// - retrieve the best document original content.
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::{doc, Index, ReloadPolicy};
use tantivy::Index;
use tantivy::ReloadPolicy;
use tempfile::TempDir;
fn main() -> tantivy::Result<()> {
@@ -30,7 +33,7 @@ fn main() -> tantivy::Result<()> {
// and for each field, its type and "the way it should
// be indexed".
// First we need to define a schema ...
// first we need to define a schema ...
let mut schema_builder = Schema::builder();
// Our first field is title.
@@ -45,7 +48,7 @@ fn main() -> tantivy::Result<()> {
//
// `STORED` means that the field will also be saved
// in a compressed, row-oriented key-value store.
// This store is useful for reconstructing the
// This store is useful to reconstruct the
// documents that were selected during the search phase.
schema_builder.add_text_field("title", TEXT | STORED);
@@ -54,7 +57,8 @@ fn main() -> tantivy::Result<()> {
// need to be able to be able to retrieve it
// for our application.
//
// We can make our index lighter by omitting the `STORED` flag.
// We can make our index lighter and
// by omitting `STORED` flag.
schema_builder.add_text_field("body", TEXT);
let schema = schema_builder.build();
@@ -67,7 +71,7 @@ fn main() -> tantivy::Result<()> {
// with our schema in the directory.
let index = Index::create_in_dir(&index_path, schema.clone())?;
// To insert a document we will need an index writer.
// To insert document we need an index writer.
// There must be only one writer at a time.
// This single `IndexWriter` is already
// multithreaded.
@@ -145,8 +149,8 @@ fn main() -> tantivy::Result<()> {
// At this point our documents are not searchable.
//
//
// We need to call `.commit()` explicitly to force the
// `index_writer` to finish processing the documents in the queue,
// We need to call .commit() explicitly to force the
// index_writer to finish processing the documents in the queue,
// flush the current index to the disk, and advertise
// the existence of new documents.
//
@@ -158,14 +162,14 @@ fn main() -> tantivy::Result<()> {
// persistently indexed.
//
// In the scenario of a crash or a power failure,
// tantivy behaves as if it has rolled back to its last
// tantivy behaves as if has rolled back to its last
// commit.
// # Searching
//
// ### Searcher
//
// A reader is required first in order to search an index.
// A reader is required to get search the index.
// It acts as a `Searcher` pool that reloads itself,
// depending on a `ReloadPolicy`.
//
@@ -181,7 +185,7 @@ fn main() -> tantivy::Result<()> {
// We now need to acquire a searcher.
//
// A searcher points to a snapshotted, immutable version of the index.
// A searcher points to snapshotted, immutable version of the index.
//
// Some search experience might require more than
// one query. Using the same searcher ensures that all of these queries will run on the
@@ -201,7 +205,7 @@ fn main() -> tantivy::Result<()> {
// in both title and body.
let query_parser = QueryParser::for_index(&index, vec![title, body]);
// `QueryParser` may fail if the query is not in the right
// QueryParser may fail if the query is not in the right
// format. For user facing applications, this can be a problem.
// A ticket has been opened regarding this problem.
let query = query_parser.parse_query("sea whale")?;
@@ -217,7 +221,7 @@ 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` collector.
// is the role of the TopDocs.
// We can now perform our query.
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;

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@@ -9,12 +9,15 @@
// ---
// 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, INDEXED, TEXT};
use tantivy::{doc, Index, SegmentReader, TantivyError};
use tantivy::SegmentReader;
use tantivy::{Index, TantivyError};
#[derive(Default)]
struct Stats {

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@@ -2,11 +2,14 @@
//
// In this example, we'll see how to define a tokenizer pipeline
// by aligning a bunch of `TokenFilter`.
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::tokenizer::NgramTokenizer;
use tantivy::{doc, Index};
use tantivy::Index;
fn main() -> tantivy::Result<()> {
// # Defining the schema

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@@ -8,10 +8,13 @@
//
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::TermQuery;
use tantivy::schema::*;
use tantivy::{doc, Index, IndexReader};
use tantivy::Index;
use tantivy::IndexReader;
// A simple helper function to fetch a single document
// given its id from our index.

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@@ -12,10 +12,12 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::FacetCollector;
use tantivy::query::AllQuery;
use tantivy::schema::*;
use tantivy::{doc, Index};
use tantivy::Index;
use tempfile::TempDir;
fn main() -> tantivy::Result<()> {

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@@ -2,10 +2,14 @@
//
// Below is an example of creating an indexed integer field in your schema
// You can use RangeQuery to get a Count of all occurrences in a given range.
#[macro_use]
extern crate tantivy;
use tantivy::collector::Count;
use tantivy::query::RangeQuery;
use tantivy::schema::{Schema, INDEXED};
use tantivy::{doc, Index, Result};
use tantivy::Index;
use tantivy::Result;
fn run() -> Result<()> {
// For the sake of simplicity, this schema will only have 1 field

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@@ -9,8 +9,11 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::schema::*;
use tantivy::{doc, DocId, DocSet, Index, Postings};
use tantivy::Index;
use tantivy::{DocId, DocSet, Postings};
fn main() -> tantivy::Result<()> {
// We first create a schema for the sake of the

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@@ -25,11 +25,14 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use std::sync::{Arc, RwLock};
use std::thread;
use std::time::Duration;
use tantivy::schema::{Schema, STORED, TEXT};
use tantivy::{doc, Index, IndexWriter, Opstamp};
use tantivy::Opstamp;
use tantivy::{Index, IndexWriter};
fn main() -> tantivy::Result<()> {
// # Defining the schema
@@ -46,9 +49,10 @@ fn main() -> tantivy::Result<()> {
thread::spawn(move || {
// we index 100 times the document... for the sake of the example.
for i in 0..100 {
let opstamp = index_writer_clone_1
.read().unwrap() //< A read lock is sufficient here.
.add_document(
let opstamp = {
// A read lock is sufficient here.
let index_writer_rlock = index_writer_clone_1.read().unwrap();
index_writer_rlock.add_document(
doc!(
title => "Of Mice and Men",
body => "A few miles south of Soledad, the Salinas River drops in close to the hillside \
@@ -59,7 +63,8 @@ fn main() -> tantivy::Result<()> {
fresh and green with every spring, carrying in their lower leaf junctures the \
debris of the winters flooding; and sycamores with mottled, white, recumbent \
limbs and branches that arch over the pool"
));
))
};
println!("add doc {} from thread 1 - opstamp {}", i, opstamp);
thread::sleep(Duration::from_millis(20));
}

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@@ -7,10 +7,13 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::{doc, Index, Snippet, SnippetGenerator};
use tantivy::Index;
use tantivy::{Snippet, SnippetGenerator};
use tempfile::TempDir;
fn main() -> tantivy::Result<()> {

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@@ -11,11 +11,13 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::tokenizer::*;
use tantivy::{doc, Index};
use tantivy::Index;
fn main() -> tantivy::Result<()> {
// this example assumes you understand the content in `basic_search`

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@@ -1,16 +0,0 @@
[package]
name = "tantivy-query-grammar"
version = "0.11.0"
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT"
categories = ["database-implementations", "data-structures"]
description = """Search engine library"""
documentation = "https://tantivy-search.github.io/tantivy/tantivy/index.html"
homepage = "https://github.com/tantivy-search/tantivy"
repository = "https://github.com/tantivy-search/tantivy"
readme = "README.md"
keywords = ["search", "information", "retrieval"]
edition = "2018"
[dependencies]
combine = ">=3.6.0,<4.0.0"

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@@ -1,17 +0,0 @@
#![recursion_limit = "100"]
mod occur;
mod query_grammar;
mod user_input_ast;
use combine::parser::Parser;
pub use crate::occur::Occur;
use crate::query_grammar::parse_to_ast;
pub use crate::user_input_ast::{UserInputAST, UserInputBound, UserInputLeaf, UserInputLiteral};
pub struct Error;
pub fn parse_query(query: &str) -> Result<UserInputAST, Error> {
let (user_input_ast, _remaining) = parse_to_ast().parse(query).map_err(|_| Error)?;
Ok(user_input_ast)
}

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@@ -10,10 +10,12 @@ use crate::SegmentReader;
/// documents match the query.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::Count;
/// use tantivy::query::QueryParser;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

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@@ -81,10 +81,12 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
///
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Facet, Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::FacetCollector;
/// use tantivy::query::AllQuery;
/// use tantivy::schema::{Facet, Schema, TEXT};
/// use tantivy::{doc, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

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@@ -35,6 +35,7 @@ The resulting `Fruit` will then be a typed tuple with each collector's original
in their respective position.
```rust
# extern crate tantivy;
# use tantivy::schema::*;
# use tantivy::*;
# use tantivy::query::*;

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@@ -105,10 +105,12 @@ impl<TFruit: Fruit> FruitHandle<TFruit> {
/// [Combining several collectors section of the collector documentation](./index.html#combining-several-collectors).
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::{Count, TopDocs, MultiCollector};
/// use tantivy::query::QueryParser;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

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@@ -23,10 +23,13 @@ use std::fmt;
/// is `O(n log K)`.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::DocAddress;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::TopDocs;
/// use tantivy::query::QueryParser;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, DocAddress, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {
@@ -84,8 +87,10 @@ impl TopDocs {
/// Set top-K to rank documents by a given fast field.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// # use tantivy::schema::{Schema, FAST, TEXT};
/// # use tantivy::{doc, Index, Result, DocAddress};
/// # use tantivy::{Index, Result, DocAddress};
/// # use tantivy::query::{Query, QueryParser};
/// use tantivy::Searcher;
/// use tantivy::collector::TopDocs;
@@ -123,7 +128,7 @@ impl TopDocs {
/// ///
/// /// `field` is required to be a FAST field.
/// fn docs_sorted_by_rating(searcher: &Searcher,
/// query: &dyn Query,
/// query: &Query,
/// sort_by_field: Field)
/// -> Result<Vec<(u64, DocAddress)>> {
///
@@ -192,8 +197,10 @@ impl TopDocs {
/// learning-to-rank model over various features
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// # use tantivy::schema::{Schema, FAST, TEXT};
/// # use tantivy::{doc, Index, DocAddress, DocId, Score};
/// # use tantivy::{Index, DocAddress, DocId, Score};
/// # use tantivy::query::QueryParser;
/// use tantivy::SegmentReader;
/// use tantivy::collector::TopDocs;
@@ -295,8 +302,10 @@ impl TopDocs {
/// # Example
///
/// ```rust
/// # #[macro_use]
/// # extern crate tantivy;
/// # use tantivy::schema::{Schema, FAST, TEXT};
/// # use tantivy::{doc, Index, DocAddress, DocId};
/// # use tantivy::{Index, DocAddress, DocId};
/// # use tantivy::query::QueryParser;
/// use tantivy::SegmentReader;
/// use tantivy::collector::TopDocs;

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@@ -216,22 +216,8 @@ impl Index {
Index::open(mmap_directory)
}
/// Returns the list of the segment metas tracked by the index.
///
/// Such segments can of course be part of the index,
/// but also they could be segments being currently built or in the middle of a merge
/// operation.
pub fn list_all_segment_metas(&self) -> Vec<SegmentMeta> {
self.inventory.all()
}
/// Creates a new segment_meta (Advanced user only).
///
/// As long as the `SegmentMeta` lives, the files associated with the
/// `SegmentMeta` are guaranteed to not be garbage collected, regardless of
/// whether the segment is recorded as part of the index or not.
pub fn new_segment_meta(&self, segment_id: SegmentId, max_doc: u32) -> SegmentMeta {
self.inventory.new_segment_meta(segment_id, max_doc)
pub(crate) fn inventory(&self) -> &SegmentMetaInventory {
&self.inventory
}
/// Open the index using the provided directory

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@@ -30,6 +30,7 @@ impl SegmentMetaInventory {
.collect::<Vec<_>>()
}
#[doc(hidden)]
pub fn new_segment_meta(&self, segment_id: SegmentId, max_doc: u32) -> SegmentMeta {
let inner = InnerSegmentMeta {
segment_id,

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@@ -4,8 +4,6 @@ use uuid::Uuid;
#[cfg(test)]
use once_cell::sync::Lazy;
use std::error::Error;
use std::str::FromStr;
#[cfg(test)]
use std::sync::atomic;
@@ -54,51 +52,15 @@ impl SegmentId {
/// and the rest is random.
///
/// Picking the first 8 chars is ok to identify
/// segments in a display message (e.g. a5c4dfcb).
/// segments in a display message.
pub fn short_uuid_string(&self) -> String {
(&self.0.to_simple_ref().to_string()[..8]).to_string()
}
/// Returns a segment uuid string.
///
/// It consists in 32 lowercase hexadecimal chars
/// (e.g. a5c4dfcbdfe645089129e308e26d5523)
pub fn uuid_string(&self) -> String {
self.0.to_simple_ref().to_string()
}
/// Build a `SegmentId` string from the full uuid string.
///
/// E.g. "a5c4dfcbdfe645089129e308e26d5523"
pub fn from_uuid_string(uuid_string: &str) -> Result<SegmentId, SegmentIdParseError> {
FromStr::from_str(uuid_string)
}
}
/// Error type used when parsing a `SegmentId` from a string fails.
pub struct SegmentIdParseError(uuid::parser::ParseError);
impl Error for SegmentIdParseError {}
impl fmt::Debug for SegmentIdParseError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
self.0.fmt(f)
}
}
impl fmt::Display for SegmentIdParseError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
self.0.fmt(f)
}
}
impl FromStr for SegmentId {
type Err = SegmentIdParseError;
fn from_str(uuid_string: &str) -> Result<Self, SegmentIdParseError> {
let uuid = Uuid::parse_str(uuid_string).map_err(SegmentIdParseError)?;
Ok(SegmentId(uuid))
}
}
impl fmt::Debug for SegmentId {
@@ -118,18 +80,3 @@ impl Ord for SegmentId {
self.0.as_bytes().cmp(other.0.as_bytes())
}
}
#[cfg(test)]
mod tests {
use super::SegmentId;
#[test]
fn test_to_uuid_string() {
let full_uuid = "a5c4dfcbdfe645089129e308e26d5523";
let segment_id = SegmentId::from_uuid_string(full_uuid).unwrap();
assert_eq!(segment_id.uuid_string(), full_uuid);
assert_eq!(segment_id.short_uuid_string(), "a5c4dfcb");
// one extra char
assert!(SegmentId::from_uuid_string("a5c4dfcbdfe645089129e308e26d5523b").is_err());
}
}

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@@ -265,7 +265,7 @@ impl MmapDirectoryInner {
}
}
if let Some(watch_wrapper) = self.watcher.write().unwrap().as_mut() {
Ok(watch_wrapper.watch(watch_callback))
return Ok(watch_wrapper.watch(watch_callback));
} else {
unreachable!("At this point, watch wrapper is supposed to be initialized");
}

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@@ -5,8 +5,8 @@ use crate::postings::UnorderedTermId;
use crate::schema::{Document, Field};
use crate::termdict::TermOrdinal;
use crate::DocId;
use fnv::FnvHashMap;
use itertools::Itertools;
use std::collections::HashMap;
use std::io;
/// Writer for multi-valued (as in, more than one value per document)
@@ -102,7 +102,7 @@ impl MultiValueIntFastFieldWriter {
pub fn serialize(
&self,
serializer: &mut FastFieldSerializer,
mapping_opt: Option<&FnvHashMap<UnorderedTermId, TermOrdinal>>,
mapping_opt: Option<&HashMap<UnorderedTermId, TermOrdinal>>,
) -> io::Result<()> {
{
// writing the offset index

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@@ -6,7 +6,6 @@ use crate::fastfield::{BytesFastFieldWriter, FastFieldSerializer};
use crate::postings::UnorderedTermId;
use crate::schema::{Cardinality, Document, Field, FieldType, Schema};
use crate::termdict::TermOrdinal;
use fnv::FnvHashMap;
use std::collections::HashMap;
use std::io;
@@ -117,7 +116,7 @@ impl FastFieldsWriter {
pub fn serialize(
&self,
serializer: &mut FastFieldSerializer,
mapping: &HashMap<Field, FnvHashMap<UnorderedTermId, TermOrdinal>>,
mapping: &HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>>,
) -> io::Result<()> {
for field_writer in &self.single_value_writers {
field_writer.serialize(serializer)?;

View File

@@ -209,7 +209,10 @@ fn index_documents(
assert!(num_docs > 0);
let doc_opstamps: Vec<Opstamp> = segment_writer.finalize()?;
let segment_meta = segment.index().new_segment_meta(segment_id, num_docs);
let segment_meta = segment
.index()
.inventory()
.new_segment_meta(segment_id, num_docs);
let last_docstamp: Opstamp = *(doc_opstamps.last().unwrap());
@@ -447,10 +450,12 @@ impl IndexWriter {
/// by clearing and resubmitting necessary documents
///
/// ```rust
/// use tantivy::collector::TopDocs;
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::query::QueryParser;
/// use tantivy::collector::TopDocs;
/// use tantivy::schema::*;
/// use tantivy::{doc, Index};
/// use tantivy::Index;
///
/// fn main() -> tantivy::Result<()> {
/// let mut schema_builder = Schema::builder();

View File

@@ -126,7 +126,9 @@ fn perform_merge(
let num_docs = merger.write(segment_serializer)?;
let segment_meta = index.new_segment_meta(merged_segment.id(), num_docs);
let segment_meta = index
.inventory()
.new_segment_meta(merged_segment.id(), num_docs);
let after_merge_segment_entry = SegmentEntry::new(segment_meta.clone(), delete_cursor, None);
Ok(after_merge_segment_entry)
@@ -280,7 +282,7 @@ impl SegmentUpdater {
fn list_files(&self) -> HashSet<PathBuf> {
let mut files = HashSet::new();
files.insert(META_FILEPATH.to_path_buf());
for segment_meta in self.0.index.list_all_segment_metas() {
for segment_meta in self.0.index.inventory().all() {
files.extend(segment_meta.list_files());
}
files

View File

@@ -1,4 +1,5 @@
#![doc(html_logo_url = "http://fulmicoton.com/tantivy-logo/tantivy-logo.png")]
#![recursion_limit = "100"]
#![cfg_attr(all(feature = "unstable", test), feature(test))]
#![cfg_attr(feature = "cargo-clippy", allow(clippy::module_inception))]
#![doc(test(attr(allow(unused_variables), deny(warnings))))]
@@ -10,12 +11,21 @@
//! Think `Lucene`, but in Rust.
//!
//! ```rust
//! # extern crate tempfile;
//! #
//! #[macro_use]
//! extern crate tantivy;
//!
//! // ...
//!
//! # use std::path::Path;
//! # use tempfile::TempDir;
//! # use tantivy::Index;
//! # use tantivy::schema::*;
//! # use tantivy::{Score, DocAddress};
//! # use tantivy::collector::TopDocs;
//! # use tantivy::query::QueryParser;
//! # use tantivy::schema::*;
//! # use tantivy::{doc, DocAddress, Index, Score};
//! #
//! # fn main() {
//! # // Let's create a temporary directory for the

View File

@@ -22,9 +22,11 @@
///
/// # Example
///
/// ```rust
/// ```
/// #[macro_use]
/// extern crate tantivy;
///
/// use tantivy::schema::{Schema, TEXT, FAST};
/// use tantivy::doc;
///
/// //...
///

View File

@@ -12,7 +12,6 @@ use crate::tokenizer::TokenStream;
use crate::tokenizer::{Token, MAX_TOKEN_LEN};
use crate::DocId;
use crate::Result;
use fnv::FnvHashMap;
use std::collections::HashMap;
use std::io;
use std::marker::PhantomData;
@@ -128,12 +127,12 @@ impl MultiFieldPostingsWriter {
pub fn serialize(
&self,
serializer: &mut InvertedIndexSerializer,
) -> Result<HashMap<Field, FnvHashMap<UnorderedTermId, TermOrdinal>>> {
) -> Result<HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>>> {
let mut term_offsets: Vec<(&[u8], Addr, UnorderedTermId)> =
self.term_index.iter().collect();
term_offsets.sort_unstable_by_key(|&(k, _, _)| k);
let mut unordered_term_mappings: HashMap<Field, FnvHashMap<UnorderedTermId, TermOrdinal>> =
let mut unordered_term_mappings: HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>> =
HashMap::new();
let field_offsets = make_field_partition(&term_offsets);
@@ -148,7 +147,7 @@ impl MultiFieldPostingsWriter {
let unordered_term_ids = term_offsets[start..stop]
.iter()
.map(|&(_, _, bucket)| bucket);
let mapping: FnvHashMap<UnorderedTermId, TermOrdinal> = unordered_term_ids
let mapping: HashMap<UnorderedTermId, TermOrdinal> = unordered_term_ids
.enumerate()
.map(|(term_ord, unord_term_id)| {
(unord_term_id as UnorderedTermId, term_ord as TermOrdinal)

View File

@@ -141,7 +141,10 @@ impl<'a> FieldSerializer<'a> {
FieldType::Str(ref text_options) => {
if let Some(text_indexing_options) = text_options.get_indexing_options() {
let index_option = text_indexing_options.index_option();
(index_option.has_freq(), index_option.has_positions())
(
index_option.is_termfreq_enabled(),
index_option.is_position_enabled(),
)
} else {
(false, false)
}

View File

@@ -8,30 +8,30 @@ use crate::termdict::{TermDictionary, TermStreamer};
use crate::DocId;
use crate::TantivyError;
use crate::{Result, SkipResult};
use std::sync::Arc;
use tantivy_fst::Automaton;
/// A weight struct for Fuzzy Term and Regex Queries
pub struct AutomatonWeight<A> {
pub struct AutomatonWeight<A>
where
A: Automaton + Send + Sync + 'static,
A::State: Clone + Default + Sized,
{
field: Field,
automaton: Arc<A>,
automaton: A,
}
impl<A> AutomatonWeight<A>
where
A: Automaton + Send + Sync + 'static,
A::State: Clone + Default + Sized,
{
/// Create a new AutomationWeight
pub fn new<IntoArcA: Into<Arc<A>>>(field: Field, automaton: IntoArcA) -> AutomatonWeight<A> {
AutomatonWeight {
field,
automaton: automaton.into(),
}
pub fn new(field: Field, automaton: A) -> AutomatonWeight<A> {
AutomatonWeight { field, automaton }
}
fn automaton_stream<'a>(&'a self, term_dict: &'a TermDictionary) -> TermStreamer<'a, &'a A> {
let automaton: &A = &*self.automaton;
let term_stream_builder = term_dict.search(automaton);
let term_stream_builder = term_dict.search(&self.automaton);
term_stream_builder.into_stream()
}
}
@@ -39,6 +39,7 @@ where
impl<A> Weight for AutomatonWeight<A>
where
A: Automaton + Send + Sync + 'static,
A::State: Clone + Default + Sized,
{
fn scorer(&self, reader: &SegmentReader) -> Result<Box<dyn Scorer>> {
let max_doc = reader.max_doc();

View File

@@ -28,10 +28,12 @@ static LEV_BUILDER: Lazy<HashMap<(u8, bool), LevenshteinAutomatonBuilder>> = Laz
/// containing a specific term that is within
/// Levenshtein distance
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result, Term};
/// use tantivy::collector::{Count, TopDocs};
/// use tantivy::query::FuzzyTermQuery;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result, Term};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

View File

@@ -45,7 +45,7 @@ pub fn intersect_scorers(mut scorers: Vec<Box<dyn Scorer>>) -> Box<dyn Scorer> {
})
}
/// Creates a `DocSet` that iterate through the intersection of two or more `DocSet`s.
/// Creates a `DocSet` that iterator through the intersection of two `DocSet`s.
pub struct Intersection<TDocSet: DocSet, TOtherDocSet: DocSet = Box<dyn Scorer>> {
left: TDocSet,
right: TDocSet,

View File

@@ -5,7 +5,7 @@ use Score;
use SkipResult;
/// Creates a `DocSet` that iterate through the intersection of two `DocSet`s.
/// Creates a `DocSet` that iterator through the intersection of two `DocSet`s.
pub struct IntersectionTwoTerms<TDocSet> {
left: TDocSet,
right: TDocSet

View File

@@ -12,6 +12,7 @@ mod exclude;
mod explanation;
mod fuzzy_query;
mod intersection;
mod occur;
mod phrase_query;
mod query;
mod query_parser;
@@ -42,6 +43,7 @@ pub use self::exclude::Exclude;
pub use self::explanation::Explanation;
pub use self::fuzzy_query::FuzzyTermQuery;
pub use self::intersection::intersect_scorers;
pub use self::occur::Occur;
pub use self::phrase_query::PhraseQuery;
pub use self::query::Query;
pub use self::query_parser::QueryParser;
@@ -53,7 +55,6 @@ pub use self::scorer::ConstScorer;
pub use self::scorer::Scorer;
pub use self::term_query::TermQuery;
pub use self::weight::Weight;
pub use tantivy_query_grammar::Occur;
#[cfg(test)]
mod tests {

View File

@@ -1,6 +1,3 @@
use std::fmt;
use std::fmt::Write;
/// Defines whether a term in a query must be present,
/// should be present or must not be present.
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq)]
@@ -21,38 +18,32 @@ impl Occur {
/// - `Should` => '?',
/// - `Must` => '+'
/// - `Not` => '-'
fn to_char(self) -> char {
pub fn to_char(self) -> char {
match self {
Occur::Should => '?',
Occur::Must => '+',
Occur::MustNot => '-',
}
}
}
/// Compose two occur values.
pub fn compose(left: Occur, right: Occur) -> Occur {
match left {
Occur::Should => right,
Occur::Must => {
if right == Occur::MustNot {
Occur::MustNot
} else {
Occur::Must
}
/// Compose two occur values.
pub fn compose_occur(left: Occur, right: Occur) -> Occur {
match left {
Occur::Should => right,
Occur::Must => {
if right == Occur::MustNot {
Occur::MustNot
} else {
Occur::Must
}
Occur::MustNot => {
if right == Occur::MustNot {
Occur::Must
} else {
Occur::MustNot
}
}
Occur::MustNot => {
if right == Occur::MustNot {
Occur::Must
} else {
Occur::MustNot
}
}
}
}
impl fmt::Display for Occur {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
f.write_char(self.to_char())
}
}

View File

@@ -1,4 +1,6 @@
mod query_grammar;
mod query_parser;
mod user_input_ast;
pub mod logical_ast;
pub use self::query_parser::QueryParser;

View File

@@ -1,5 +1,6 @@
use super::user_input_ast::*;
use crate::Occur;
use crate::query::occur::Occur;
use crate::query::query_parser::user_input_ast::UserInputBound;
use combine::char::*;
use combine::error::StreamError;
use combine::stream::StreamErrorFor;

View File

@@ -1,5 +1,9 @@
use super::logical_ast::*;
use super::query_grammar::parse_to_ast;
use super::user_input_ast::*;
use crate::core::Index;
use crate::query::occur::compose_occur;
use crate::query::query_parser::logical_ast::LogicalAST;
use crate::query::AllQuery;
use crate::query::BooleanQuery;
use crate::query::EmptyQuery;
@@ -12,11 +16,11 @@ use crate::schema::IndexRecordOption;
use crate::schema::{Field, Schema};
use crate::schema::{FieldType, Term};
use crate::tokenizer::TokenizerManager;
use combine::Parser;
use std::borrow::Cow;
use std::num::{ParseFloatError, ParseIntError};
use std::ops::Bound;
use std::str::FromStr;
use tantivy_query_grammar::{UserInputAST, UserInputBound, UserInputLeaf};
/// Possible error that may happen when parsing a query.
#[derive(Debug, PartialEq, Eq, Fail)]
@@ -218,8 +222,9 @@ impl QueryParser {
/// Parse the user query into an AST.
fn parse_query_to_logical_ast(&self, query: &str) -> Result<LogicalAST, QueryParserError> {
let user_input_ast =
tantivy_query_grammar::parse_query(query).map_err(|_| QueryParserError::SyntaxError)?;
let (user_input_ast, _remaining) = parse_to_ast()
.parse(query)
.map_err(|_| QueryParserError::SyntaxError)?;
self.compute_logical_ast(user_input_ast)
}
@@ -394,7 +399,7 @@ impl QueryParser {
let mut logical_sub_queries: Vec<(Occur, LogicalAST)> = Vec::new();
for sub_query in sub_queries {
let (occur, sub_ast) = self.compute_logical_ast_with_occur(sub_query)?;
let new_occur = Occur::compose(default_occur, occur);
let new_occur = compose_occur(default_occur, occur);
logical_sub_queries.push((new_occur, sub_ast));
}
Ok((Occur::Should, LogicalAST::Clause(logical_sub_queries)))
@@ -402,7 +407,7 @@ impl QueryParser {
UserInputAST::Unary(left_occur, subquery) => {
let (right_occur, logical_sub_queries) =
self.compute_logical_ast_with_occur(*subquery)?;
Ok((Occur::compose(left_occur, right_occur), logical_sub_queries))
Ok((compose_occur(left_occur, right_occur), logical_sub_queries))
}
UserInputAST::Leaf(leaf) => {
let result_ast = self.compute_logical_ast_from_leaf(*leaf)?;

View File

@@ -1,7 +1,7 @@
use std::fmt;
use std::fmt::{Debug, Formatter};
use crate::Occur;
use crate::query::Occur;
#[derive(PartialEq)]
pub enum UserInputLeaf {
@@ -151,7 +151,7 @@ impl fmt::Debug for UserInputAST {
Ok(())
}
UserInputAST::Unary(ref occur, ref subquery) => {
write!(formatter, "{}({:?})", occur, subquery)
write!(formatter, "{}({:?})", occur.to_char(), subquery)
}
UserInputAST::Leaf(ref subquery) => write!(formatter, "{:?}", subquery),
}

View File

@@ -38,10 +38,14 @@ fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
/// # Example
///
/// ```rust
/// # use tantivy::collector::Count;
/// # use tantivy::query::RangeQuery;
///
/// # #[macro_use]
/// # extern crate tantivy;
/// # use tantivy::Index;
/// # use tantivy::schema::{Schema, INDEXED};
/// # use tantivy::{doc, Index, Result};
/// # use tantivy::collector::Count;
/// # use tantivy::Result;
/// # use tantivy::query::RangeQuery;
/// #
/// # fn run() -> Result<()> {
/// # let mut schema_builder = Schema::builder();

View File

@@ -4,18 +4,22 @@ use crate::schema::Field;
use crate::Result;
use crate::Searcher;
use std::clone::Clone;
use std::sync::Arc;
use tantivy_fst::Regex;
/// A Regex Query matches all of the documents
// A Regex Query matches all of the documents
/// containing a specific term that matches
/// a regex pattern.
/// a regex pattern
/// A Fuzzy Query matches all of the documents
/// containing a specific term that is within
/// Levenshtein distance
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result, Term};
/// use tantivy::collector::Count;
/// use tantivy::query::RegexQuery;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result, Term};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {
@@ -44,7 +48,7 @@ use tantivy_fst::Regex;
/// let searcher = reader.searcher();
///
/// let term = Term::from_field_text(title, "Diary");
/// let query = RegexQuery::from_pattern("d[ai]{2}ry", title)?;
/// let query = RegexQuery::new("d[ai]{2}ry".to_string(), title);
/// let count = searcher.search(&query, &Count)?;
/// assert_eq!(count, 3);
/// Ok(())
@@ -52,34 +56,30 @@ use tantivy_fst::Regex;
/// ```
#[derive(Debug, Clone)]
pub struct RegexQuery {
regex: Arc<Regex>,
regex_pattern: String,
field: Field,
}
impl RegexQuery {
/// Creates a new RegexQuery from a given pattern
pub fn from_pattern(regex_pattern: &str, field: Field) -> Result<Self> {
let regex = Regex::new(&regex_pattern)
.map_err(|_| TantivyError::InvalidArgument(regex_pattern.to_string()))?;
Ok(RegexQuery::from_regex(regex, field))
}
/// Creates a new RegexQuery from a fully built Regex
pub fn from_regex<T: Into<Arc<Regex>>>(regex: T, field: Field) -> Self {
/// Creates a new Fuzzy Query
pub fn new(regex_pattern: String, field: Field) -> RegexQuery {
RegexQuery {
regex: regex.into(),
regex_pattern,
field,
}
}
fn specialized_weight(&self) -> AutomatonWeight<Regex> {
AutomatonWeight::new(self.field, self.regex.clone())
fn specialized_weight(&self) -> Result<AutomatonWeight<Regex>> {
let automaton = Regex::new(&self.regex_pattern)
.map_err(|_| TantivyError::InvalidArgument(self.regex_pattern.clone()))?;
Ok(AutomatonWeight::new(self.field, automaton))
}
}
impl Query for RegexQuery {
fn weight(&self, _searcher: &Searcher, _scoring_enabled: bool) -> Result<Box<dyn Weight>> {
Ok(Box::new(self.specialized_weight()))
Ok(Box::new(self.specialized_weight()?))
}
}
@@ -87,14 +87,13 @@ impl Query for RegexQuery {
mod test {
use super::RegexQuery;
use crate::collector::TopDocs;
use crate::schema::Schema;
use crate::schema::TEXT;
use crate::schema::{Field, Schema};
use crate::tests::assert_nearly_equals;
use crate::{Index, IndexReader};
use std::sync::Arc;
use tantivy_fst::Regex;
use crate::Index;
fn build_test_index() -> (IndexReader, Field) {
#[test]
pub fn test_regex_query() {
let mut schema_builder = Schema::builder();
let country_field = schema_builder.add_text_field("country", TEXT);
let schema = schema_builder.build();
@@ -110,65 +109,20 @@ mod test {
index_writer.commit().unwrap();
}
let reader = index.reader().unwrap();
(reader, country_field)
}
fn verify_regex_query(
query_matching_one: RegexQuery,
query_matching_zero: RegexQuery,
reader: IndexReader,
) {
let searcher = reader.searcher();
{
let regex_query = RegexQuery::new("jap[ao]n".to_string(), country_field);
let scored_docs = searcher
.search(&query_matching_one, &TopDocs::with_limit(2))
.search(&regex_query, &TopDocs::with_limit(2))
.unwrap();
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(&query_matching_zero, &TopDocs::with_limit(2))
.search(&regex_query, &TopDocs::with_limit(2))
.unwrap();
assert!(top_docs.is_empty(), "Expected ZERO document");
}
#[test]
pub fn test_regex_query() {
let (reader, field) = build_test_index();
let matching_one = RegexQuery::from_pattern("jap[ao]n", field).unwrap();
let matching_zero = RegexQuery::from_pattern("jap[A-Z]n", field).unwrap();
verify_regex_query(matching_one, matching_zero, reader);
}
#[test]
pub fn test_construct_from_regex() {
let (reader, field) = build_test_index();
let matching_one = RegexQuery::from_regex(Regex::new("jap[ao]n").unwrap(), field);
let matching_zero = RegexQuery::from_regex(Regex::new("jap[A-Z]n").unwrap(), field);
verify_regex_query(matching_one, matching_zero, reader);
}
#[test]
pub fn test_construct_from_reused_regex() {
let r1 = Arc::new(Regex::new("jap[ao]n").unwrap());
let r2 = Arc::new(Regex::new("jap[A-Z]n").unwrap());
let (reader, field) = build_test_index();
let matching_one = RegexQuery::from_regex(r1.clone(), field);
let matching_zero = RegexQuery::from_regex(r2.clone(), field);
verify_regex_query(matching_one, matching_zero, reader.clone());
let matching_one = RegexQuery::from_regex(r1.clone(), field);
let matching_zero = RegexQuery::from_regex(r2.clone(), field);
verify_regex_query(matching_one, matching_zero, reader.clone());
}
}

View File

@@ -20,10 +20,12 @@ use std::fmt;
/// * `field norm` - number of tokens in the field.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT, IndexRecordOption};
/// use tantivy::{Index, Result, Term};
/// use tantivy::collector::{Count, TopDocs};
/// use tantivy::query::TermQuery;
/// use tantivy::schema::{Schema, TEXT, IndexRecordOption};
/// use tantivy::{doc, Index, Result, Term};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

View File

@@ -28,7 +28,7 @@ where
}
}
/// Creates a `DocSet` that iterate through the union of two or more `DocSet`s.
/// Creates a `DocSet` that iterator through the intersection of two `DocSet`s.
pub struct Union<TScorer, TScoreCombiner = DoNothingCombiner> {
docsets: Vec<TScorer>,
bitsets: Box<[TinySet; HORIZON_NUM_TINYBITSETS]>,

View File

@@ -29,6 +29,22 @@ pub enum IndexRecordOption {
}
impl IndexRecordOption {
/// Returns true iff the term frequency will be encoded.
pub fn is_termfreq_enabled(self) -> bool {
match self {
IndexRecordOption::WithFreqsAndPositions | IndexRecordOption::WithFreqs => true,
_ => false,
}
}
/// Returns true iff the term positions within the document are stored as well.
pub fn is_position_enabled(self) -> bool {
match self {
IndexRecordOption::WithFreqsAndPositions => true,
_ => false,
}
}
/// Returns true iff this option includes encoding
/// term frequencies.
pub fn has_freq(self) -> bool {

View File

@@ -301,26 +301,28 @@ impl Schema {
let mut doc = Document::default();
for (field_name, json_value) in json_obj.iter() {
let field = self
.get_field(field_name)
.ok_or_else(|| DocParsingError::NoSuchFieldInSchema(field_name.clone()))?;
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));
match self.get_field(field_name) {
Some(field) => {
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));
}
}
_ => {
let value = field_type
.value_from_json(json_value)
.map_err(|e| DocParsingError::ValueError(field_name.clone(), e))?;
doc.add(FieldValue::new(field, value));
}
}
}
_ => {
let value = field_type
.value_from_json(json_value)
.map_err(|e| DocParsingError::ValueError(field_name.clone(), e))?;
doc.add(FieldValue::new(field, value));
}
None => return Err(DocParsingError::NoSuchFieldInSchema(field_name.clone())),
}
}
Ok(doc)

View File

@@ -22,10 +22,10 @@ impl Term {
/// Builds a term given a field, and a i64-value
///
/// Assuming the term has a field id of 1, and a i64 value of 3234,
/// the Term will have 12 bytes.
/// the Term will have 8 bytes.
///
/// The first four byte are dedicated to storing the field id as a u64.
/// The 8 following bytes are encoding the u64 value.
/// The 4 following bytes are encoding the u64 value.
pub fn from_field_i64(field: Field, val: i64) -> Term {
let val_u64: u64 = common::i64_to_u64(val);
Term::from_field_u64(field, val_u64)
@@ -33,11 +33,11 @@ impl Term {
/// Builds a term given a field, and a f64-value
///
/// Assuming the term has a field id of 1, and a f64 value of 1.5,
/// the Term will have 12 bytes.
/// Assuming the term has a field id of 1, and a u64 value of 3234,
/// the Term will have 8 bytes. <= this is wrong
///
/// The first four byte are dedicated to storing the field id as a u64.
/// The 8 following bytes are encoding the f64 as a u64 value.
/// The 4 following bytes are encoding the u64 value.
pub fn from_field_f64(field: Field, val: f64) -> Term {
let val_u64: u64 = common::f64_to_u64(val);
Term::from_field_u64(field, val_u64)
@@ -46,10 +46,10 @@ impl Term {
/// Builds a term given a field, and a DateTime value
///
/// Assuming the term has a field id of 1, and a timestamp i64 value of 3234,
/// the Term will have 12 bytes.
/// the Term will have 8 bytes.
///
/// The first four byte are dedicated to storing the field id as a u64.
/// The 8 following bytes are encoding the DateTime as i64 timestamp value.
/// The 4 following bytes are encoding the DateTime as i64 timestamp value.
pub fn from_field_date(field: Field, val: &DateTime) -> Term {
let val_timestamp = val.timestamp();
Term::from_field_i64(field, val_timestamp)
@@ -82,10 +82,10 @@ impl Term {
/// Builds a term given a field, and a u64-value
///
/// Assuming the term has a field id of 1, and a u64 value of 3234,
/// the Term will have 12 bytes.
/// the Term will have 8 bytes.
///
/// The first four byte are dedicated to storing the field id as a u64.
/// The 8 following bytes are encoding the u64 value.
/// The 4 following bytes are encoding the u64 value.
pub fn from_field_u64(field: Field, val: u64) -> Term {
let mut term = Term(vec![0u8; INT_TERM_LEN]);
term.set_field(field);
@@ -182,7 +182,7 @@ where
///
/// # Panics
/// ... or returns an invalid value
/// if the term is not a `f64` field.
/// if the term is not a `i64` field.
pub fn get_f64(&self) -> f64 {
common::u64_to_f64(BigEndian::read_u64(&self.0.as_ref()[4..]))
}

View File

@@ -213,9 +213,11 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
/// # Example
///
/// ```rust
/// # use tantivy::query::QueryParser;
/// # #[macro_use]
/// # extern crate tantivy;
/// # use tantivy::Index;
/// # use tantivy::schema::{Schema, TEXT};
/// # use tantivy::{doc, Index};
/// # use tantivy::query::QueryParser;
/// use tantivy::SnippetGenerator;
///
/// # fn main() -> tantivy::Result<()> {

View File

@@ -2,7 +2,7 @@ use super::TermDictionary;
use crate::postings::TermInfo;
use crate::termdict::TermOrdinal;
use tantivy_fst::automaton::AlwaysMatch;
use tantivy_fst::map::{Stream, StreamBuilder};
use tantivy_fst::map::{Stream, StreamBuilder, StreamWithState};
use tantivy_fst::Automaton;
use tantivy_fst::{IntoStreamer, Streamer};
@@ -11,6 +11,7 @@ use tantivy_fst::{IntoStreamer, Streamer};
pub struct TermStreamerBuilder<'a, A = AlwaysMatch>
where
A: Automaton,
A::State: Clone,
{
fst_map: &'a TermDictionary,
stream_builder: StreamBuilder<'a, A>,
@@ -19,6 +20,7 @@ where
impl<'a, A> TermStreamerBuilder<'a, A>
where
A: Automaton,
A::State: Clone + Default + Sized,
{
pub(crate) fn new(fst_map: &'a TermDictionary, stream_builder: StreamBuilder<'a, A>) -> Self {
TermStreamerBuilder {
@@ -56,10 +58,11 @@ where
pub fn into_stream(self) -> TermStreamer<'a, A> {
TermStreamer {
fst_map: self.fst_map,
stream: self.stream_builder.into_stream(),
stream: self.stream_builder.with_state().into_stream(),
term_ord: 0u64,
current_key: Vec::with_capacity(100),
current_value: TermInfo::default(),
state: Default::default(),
}
}
}
@@ -69,27 +72,31 @@ where
pub struct TermStreamer<'a, A = AlwaysMatch>
where
A: Automaton,
A::State: Clone + Default + Sized,
{
fst_map: &'a TermDictionary,
stream: Stream<'a, A>,
stream: StreamWithState<'a, A>,
term_ord: TermOrdinal,
current_key: Vec<u8>,
current_value: TermInfo,
state: A::State,
}
impl<'a, A> TermStreamer<'a, A>
where
A: Automaton,
A::State: Clone + Default + Sized,
{
/// Advance position the stream on the next item.
/// Before the first call to `.advance()`, the stream
/// is an unitialized state.
pub fn advance(&mut self) -> bool {
if let Some((term, term_ord)) = self.stream.next() {
if let Some((term, term_ord, state)) = self.stream.next() {
self.current_key.clear();
self.current_key.extend_from_slice(term);
self.term_ord = term_ord;
self.current_value = self.fst_map.term_info_from_ord(term_ord);
self.state = state;
true
} else {
false
@@ -118,6 +125,10 @@ where
&self.current_key
}
pub fn state(&self) -> &A::State {
&self.state
}
/// Accesses the current value.
///
/// Calling `.value()` after the end of the stream will return the

View File

@@ -197,7 +197,11 @@ impl TermDictionary {
/// Returns a search builder, to stream all of the terms
/// within the Automaton
pub fn search<'a, A: Automaton + 'a>(&'a self, automaton: A) -> TermStreamerBuilder<'a, A> {
pub fn search<'a, A>(&'a self, automaton: A) -> TermStreamerBuilder<'a, A>
where
A: Automaton + 'a,
A::State: Clone + Default + Sized,
{
let stream_builder = self.fst_index.search(automaton);
TermStreamerBuilder::<A>::new(self, stream_builder)
}

View File

@@ -1,5 +1,6 @@
//! # Example
//! ```rust
//! ```
//! extern crate tantivy;
//! use tantivy::tokenizer::*;
//!
//! # fn main() {

View File

@@ -4,7 +4,8 @@
//! You must define in your schema which tokenizer should be used for
//! each of your fields :
//!
//! ```rust
//! ```
//! extern crate tantivy;
//! use tantivy::schema::*;
//!
//! # fn main() {
@@ -64,6 +65,8 @@
//! For instance, the `en_stem` is defined as follows.
//!
//! ```rust
//! # extern crate tantivy;
//!
//! use tantivy::tokenizer::*;
//!
//! # fn main() {
@@ -77,7 +80,8 @@
//! Once your tokenizer is defined, you need to
//! register it with a name in your index's [`TokenizerManager`](./struct.TokenizerManager.html).
//!
//! ```rust
//! ```
//! # extern crate tantivy;
//! # use tantivy::schema::Schema;
//! # use tantivy::tokenizer::*;
//! # use tantivy::Index;
@@ -97,7 +101,8 @@
//!
//! # Example
//!
//! ```rust
//! ```
//! extern crate tantivy;
//! use tantivy::schema::{Schema, IndexRecordOption, TextOptions, TextFieldIndexing};
//! use tantivy::tokenizer::*;
//! use tantivy::Index;

View File

@@ -29,7 +29,8 @@ use super::{Token, TokenStream, Tokenizer};
///
/// # Example
///
/// ```rust
/// ```
/// # extern crate tantivy;
/// use tantivy::tokenizer::*;
/// # fn main() {
/// let tokenizer = NgramTokenizer::new(2, 3, false);

View File

@@ -1,5 +1,6 @@
//! # Example
//! ```rust
//! ```
//! extern crate tantivy;
//! use tantivy::tokenizer::*;
//!
//! # fn main() {

View File

@@ -1,5 +1,6 @@
//! # Example
//! ```rust
//! ```
//! extern crate tantivy;
//! use tantivy::tokenizer::*;
//!
//! # fn main() {