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11 Commits

Author SHA1 Message Date
Paul Masurel
97227a2938 Fixing the construction of the DeleteBitset.
Closes #681
2019-11-04 13:59:37 +09:00
Mathias Svensson
6a8a8557d2 Use slice::iter instead of into_iter to avoid future breakage (#679)
* Use `slice::iter` instead of `into_iter` to avoid future breakage

`an_array.into_iter()` currently just works because of the autoref
feature, which then calls `<[T] as IntoIterator>::into_iter`. But
in the future, arrays will implement `IntoIterator`, too. In order
to avoid problems in the future, the call is replaced by `iter()`
which is shorter and more explicit.

* cargo fmt
2019-10-31 20:59:50 +09:00
Alberto Piai
3a65dc84c8 TopDocs: ensure stable sorting on equal score (#675)
* TopDocs: ensure stable sorting on equal score

When selecting the top K documents by score, we need to ensure stable
sorting. Until now, for documents with the same score, we were relying
on the (arbitrary) order returned by the BinaryHeap used to implement
the collectors.

This patch fixes the problem by explicitly using the doc address when
harvesting the `TopSegmentCollector` and when merging the results in
`TopCollector::merge_fruits()`.

This is important (for example) to implement pagination correctly using
the TopDocs collector. If sorting isn't stable, documents that have the
same score might be ranked in different positions depending on the
specific K that was used, thus appearing in two different pages, or in
none at all.

Fixes gh-671

* TMP: alternative solution (see previous commit)

If we add the constrait that D is also PartialOrd in ComparableDoc<T,
D>, then we can move the comparison by doc address directly in the cmp
implementation of ComparableDoc.

* TMP rebase as first commit: add benchmarks for TopSegmentCollector

* fixup! TMP: alternative solution (see previous commit)

* TMP add changelog entry

* TMP run cargo fmt
2019-10-26 15:27:25 +09:00
dependabot-preview[bot]
ce42bbf5c9 Update base64 requirement from 0.10.0 to 0.11.0 (#676)
Updates the requirements on [base64](https://github.com/marshallpierce/rust-base64) to permit the latest version.
- [Release notes](https://github.com/marshallpierce/rust-base64/releases)
- [Changelog](https://github.com/marshallpierce/rust-base64/blob/master/RELEASE-NOTES.md)
- [Commits](https://github.com/marshallpierce/rust-base64/compare/v0.10.0...v0.11.0)

Signed-off-by: dependabot-preview[bot] <support@dependabot.com>
2019-10-26 15:24:47 +09:00
Paul Masurel
7b21b3f25a Refactoring around Field (#673)
* Refactoring around Field

Removing the contract about the order of the field, and the
field id allocation.

* Update delete_queue.rs

* Update field.rs
2019-10-25 09:06:44 +09:00
Paul Masurel
46caec1040 Updating uuid to 0.8 (#674) 2019-10-25 09:02:00 +09:00
petr-tik
1187a02a3e Fixed #664 (#667)
Removed references to u8 and old documentation
2019-10-22 09:34:10 +09:00
Andrew Banchich
f6c525b19e Fix grammar / punctuation (#668) 2019-10-21 10:50:53 +09:00
petr-tik
4a8f7712f3 Add a doctest to BooleanQuery (#630)
* Add a doctest to BooleanQuery

Closes #446

Mark a function that is only used in tests to be compiled for tests only

Fix doc-comments in a couple of related files

* Minor corrections

remove whitespace, fix typos, add explicit dyn marker

* WIP: BooleanQuery doc test

Trying to nest several BooleanQueries together

* Addressed old review

rust 2018 edition + make function available to everyone

* Box the previous query to resolve the type error

* Rework wording in DocAdress document strings

* Reworded and restructured the docstring
2019-10-07 10:05:12 +09:00
Paul Masurel
2f867aad17 Fix bench (#663)
* fmt

* Fixing bench compilation
2019-10-04 17:07:49 +09:00
Paul Masurel
5c6580eb15 fmt (#661) 2019-10-04 12:10:01 +09:00
32 changed files with 490 additions and 158 deletions

View File

@@ -9,7 +9,9 @@ Tantivy 0.11.0
- API change around `Box<BoxableTokenizer>`. See detail in #629
- Avoid rebuilding Regex automaton whenever a regex query is reused. #639 (@brainlock)
- Add footer with some metadata to index files. #605 (@fdb-hiroshima)
- TopDocs collector: ensure stable sorting on equal score. #671 (@brainlock)
- Fix crash when committing multiple times with deleted documents. #681 (@brainlock)
## How to update?
- `Box<dyn BoxableTokenizer>` has been replaced by a `BoxedTokenizer` struct.

View File

@@ -13,7 +13,7 @@ keywords = ["search", "information", "retrieval"]
edition = "2018"
[dependencies]
base64 = "0.10.0"
base64 = "0.11.0"
byteorder = "1.0"
crc32fast = "1.2.0"
once_cell = "1.0"
@@ -34,7 +34,7 @@ itertools = "0.8"
levenshtein_automata = {version="0.1", features=["fst_automaton"]}
notify = {version="4", optional=true}
bit-set = "0.5"
uuid = { version = "0.7.2", features = ["v4", "serde"] }
uuid = { version = "0.8", features = ["v4", "serde"] }
crossbeam = "0.7"
futures = "0.1"
futures-cpupool = "0.1"

View File

@@ -21,9 +21,9 @@
[![Become a patron](https://c5.patreon.com/external/logo/become_a_patron_button.png)](https://www.patreon.com/fulmicoton)
**Tantivy** is a **full text search engine library** written in rust.
**Tantivy** is a **full text search engine library** written in Rust.
It is closer to [Apache Lucene](https://lucene.apache.org/) than to [Elasticsearch](https://www.elastic.co/products/elasticsearch) and [Apache Solr](https://lucene.apache.org/solr/) in the sense it is not
It is closer to [Apache Lucene](https://lucene.apache.org/) than to [Elasticsearch](https://www.elastic.co/products/elasticsearch) or [Apache Solr](https://lucene.apache.org/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.
@@ -31,7 +31,7 @@ Tantivy is, in fact, strongly inspired by Lucene's design.
# Benchmark
Tantivy is typically faster than Lucene, but the results will depend on
Tantivy is typically faster than Lucene, but the results depend on
the nature of the queries in your workload.
The following [benchmark](https://tantivy-search.github.io/bench/) break downs
@@ -40,19 +40,19 @@ performance for different type of queries / collection.
# Features
- Full-text search
- Configurable tokenizer. (stemming available for 17 latin languages. Third party support for Chinese ([tantivy-jieba](https://crates.io/crates/tantivy-jieba) and [cang-jie](https://crates.io/crates/cang-jie)) and [Japanese](https://crates.io/crates/tantivy-tokenizer-tiny-segmenter)
- Configurable tokenizer (stemming available for 17 Latin languages with third party support for Chinese ([tantivy-jieba](https://crates.io/crates/tantivy-jieba) and [cang-jie](https://crates.io/crates/cang-jie)) and [Japanese](https://crates.io/crates/tantivy-tokenizer-tiny-segmenter))
- Fast (check out the :racehorse: :sparkles: [benchmark](https://tantivy-search.github.io/bench/) :sparkles: :racehorse:)
- Tiny startup time (<10ms), perfect for command line tools
- BM25 scoring (the same as lucene)
- Natural query language `(michael AND jackson) OR "king of pop"`
- Phrase queries search (`"michael jackson"`)
- BM25 scoring (the same as Lucene)
- Natural query language (e.g. `(michael AND jackson) OR "king of pop"`)
- Phrase queries search (e.g. `"michael jackson"`)
- Incremental indexing
- Multithreaded indexing (indexing English Wikipedia takes < 3 minutes on my desktop)
- Mmap directory
- SIMD integer compression when the platform/CPU includes the SSE2 instruction set.
- Single valued and multivalued u64, i64 and f64 fast fields (equivalent of doc values in Lucene)
- SIMD integer compression when the platform/CPU includes the SSE2 instruction set
- Single valued and multivalued u64, i64, and f64 fast fields (equivalent of doc values in Lucene)
- `&[u8]` fast fields
- Text, i64, u64, f64, dates and hierarchical facet fields
- Text, i64, u64, f64, dates, and hierarchical facet fields
- LZ4 compressed document store
- Range queries
- Faceted search
@@ -61,43 +61,42 @@ performance for different type of queries / collection.
# Non-features
- Distributed search is out of the scope of tantivy. That being said, tantivy is meant as a
- Distributed search is out of the scope of Tantivy. That being said, Tantivy is a
library upon which one could build a distributed search. Serializable/mergeable collector state for instance,
are within the scope of tantivy.
are within the scope of Tantivy.
# Supported OS and compiler
Tantivy works on stable rust (>= 1.27) and supports Linux, MacOS and Windows.
Tantivy works on stable Rust (>= 1.27) and supports Linux, MacOS, and Windows.
# Getting started
- [tantivy's simple search example](https://tantivy-search.github.io/examples/basic_search.html)
- [tantivy-cli and its tutorial](https://github.com/tantivy-search/tantivy-cli).
`tantivy-cli` is an actual command line interface that makes it easy for you to create a search engine,
index documents and search via the CLI or a small server with a REST API.
It will walk you through getting a wikipedia search engine up and running in a few minutes.
- [reference doc for the last released version](https://docs.rs/tantivy/)
- [Tantivy's simple search example](https://tantivy-search.github.io/examples/basic_search.html)
- [tantivy-cli and its tutorial](https://github.com/tantivy-search/tantivy-cli) - `tantivy-cli` is an actual command line interface that makes it easy for you to create a search engine,
index documents, and search via the CLI or a small server with a REST API.
It walks you through getting a wikipedia search engine up and running in a few minutes.
- [Reference doc for the last released version](https://docs.rs/tantivy/)
# How can I support this project?
There are many ways to support this project.
- Use tantivy and tell us about your experience on [gitter](https://gitter.im/tantivy-search/tantivy) or by email (paul.masurel@gmail.com)
- Use Tantivy and tell us about your experience on [Gitter](https://gitter.im/tantivy-search/tantivy) or by email (paul.masurel@gmail.com)
- Report bugs
- Write a blog post
- Help with documentation by asking questions or submitting PRs
- Contribute code (you can join [our gitter](https://gitter.im/tantivy-search/tantivy) )
- Talk about tantivy around you
- Contribute code (you can join [our Gitter](https://gitter.im/tantivy-search/tantivy))
- Talk about Tantivy around you
- Drop a word on on [![Say Thanks!](https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg)](https://saythanks.io/to/fulmicoton) or even [![Become a patron](https://c5.patreon.com/external/logo/become_a_patron_button.png)](https://www.patreon.com/fulmicoton)
# Contributing code
We use the GitHub Pull Request workflow - reference a GitHub ticket and/or include a comprehensive commit message when opening a PR.
We use the GitHub Pull Request workflow: reference a GitHub ticket and/or include a comprehensive commit message when opening a PR.
## Clone and build locally
Tantivy compiles on stable rust but requires `Rust >= 1.27`.
To check out and run tests, you can simply run :
Tantivy compiles on stable Rust but requires `Rust >= 1.27`.
To check out and run tests, you can simply run:
```bash
git clone https://github.com/tantivy-search/tantivy.git
@@ -108,7 +107,7 @@ To check out and run tests, you can simply run :
## Run tests
Some tests will not run with just `cargo test` because of `fail-rs`.
To run the tests exhaustively, run `./run-tests.sh`
To run the tests exhaustively, run `./run-tests.sh`.
## Debug
@@ -116,13 +115,13 @@ You might find it useful to step through the programme with a debugger.
### A failing test
Make sure you haven't run `cargo clean` after the most recent `cargo test` or `cargo build` to guarantee that `target/` dir exists. Use this bash script to find the most name of the most recent debug build of tantivy and run it under rust-gdb.
Make sure you haven't run `cargo clean` after the most recent `cargo test` or `cargo build` to guarantee that the `target/` directory exists. Use this bash script to find the name of the most recent debug build of Tantivy and run it under `rust-gdb`:
```bash
find target/debug/ -maxdepth 1 -executable -type f -name "tantivy*" -printf '%TY-%Tm-%Td %TT %p\n' | sort -r | cut -d " " -f 3 | xargs -I RECENT_DBG_TANTIVY rust-gdb RECENT_DBG_TANTIVY
```
Now that you are in rust-gdb, you can set breakpoints on lines and methods that match your source-code and run the debug executable with flags that you normally pass to `cargo test` to like this
Now that you are in `rust-gdb`, you can set breakpoints on lines and methods that match your source code and run the debug executable with flags that you normally pass to `cargo test` like this:
```bash
$gdb run --test-threads 1 --test $NAME_OF_TEST
@@ -130,7 +129,7 @@ $gdb run --test-threads 1 --test $NAME_OF_TEST
### An example
By default, rustc compiles everything in the `examples/` dir in debug mode. This makes it easy for you to make examples to reproduce bugs.
By default, `rustc` compiles everything in the `examples/` directory in debug mode. This makes it easy for you to make examples to reproduce bugs:
```bash
rust-gdb target/debug/examples/$EXAMPLE_NAME

View File

@@ -2,7 +2,7 @@ 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.
/// should be present or must be not present.
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq)]
pub enum Occur {
/// For a given document to be considered for scoring,

View File

@@ -515,7 +515,7 @@ mod tests {
#[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));
let mut facet_collector = FacetCollector::for_field(Field::from_field_id(0));
facet_collector.add_facet(Facet::from("/country"));
facet_collector.add_facet(Facet::from("/country/europe"));
}
@@ -546,7 +546,7 @@ mod tests {
#[test]
fn test_non_used_facet_collector() {
let mut facet_collector = FacetCollector::for_field(Field(0));
let mut facet_collector = FacetCollector::for_field(Field::from_field_id(0));
facet_collector.add_facet(Facet::from("/country"));
facet_collector.add_facet(Facet::from("/countryeurope"));
}

View File

@@ -12,6 +12,9 @@ use std::collections::BinaryHeap;
/// 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.
///
/// Additionally, it guarantees stable sorting: in case of a tie on the feature, the document
/// address is used.
///
/// 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
@@ -21,29 +24,37 @@ struct ComparableDoc<T, D> {
doc: D,
}
impl<T: PartialOrd, D> PartialOrd for ComparableDoc<T, D> {
impl<T: PartialOrd, D: PartialOrd> PartialOrd for ComparableDoc<T, D> {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl<T: PartialOrd, D> Ord for ComparableDoc<T, D> {
impl<T: PartialOrd, D: PartialOrd> Ord for ComparableDoc<T, D> {
#[inline]
fn cmp(&self, other: &Self) -> Ordering {
other
// Reversed to make BinaryHeap work as a min-heap
let by_feature = other
.feature
.partial_cmp(&self.feature)
.unwrap_or_else(|| Ordering::Equal)
.unwrap_or(Ordering::Equal);
let lazy_by_doc_address = || self.doc.partial_cmp(&other.doc).unwrap_or(Ordering::Equal);
// In case of a tie on the feature, we sort by ascending
// `DocAddress` in order to ensure a stable sorting of the
// documents.
by_feature.then_with(lazy_by_doc_address)
}
}
impl<T: PartialOrd, D> PartialEq for ComparableDoc<T, D> {
impl<T: PartialOrd, D: PartialOrd> PartialEq for ComparableDoc<T, D> {
fn eq(&self, other: &Self) -> bool {
self.cmp(other) == Ordering::Equal
}
}
impl<T: PartialOrd, D> Eq for ComparableDoc<T, D> {}
impl<T: PartialOrd, D: PartialOrd> Eq for ComparableDoc<T, D> {}
pub(crate) struct TopCollector<T> {
limit: usize,
@@ -214,4 +225,94 @@ mod tests {
]
);
}
#[test]
fn test_top_segment_collector_stable_ordering_for_equal_feature() {
// given that the documents are collected in ascending doc id order,
// when harvesting we have to guarantee stable sorting in case of a tie
// on the score
let doc_ids_collection = [4, 5, 6];
let score = 3.14;
let mut top_collector_limit_2 = TopSegmentCollector::new(0, 2);
for id in &doc_ids_collection {
top_collector_limit_2.collect(*id, score);
}
let mut top_collector_limit_3 = TopSegmentCollector::new(0, 3);
for id in &doc_ids_collection {
top_collector_limit_3.collect(*id, score);
}
assert_eq!(
top_collector_limit_2.harvest(),
top_collector_limit_3.harvest()[..2].to_vec(),
);
}
}
#[cfg(all(test, feature = "unstable"))]
mod bench {
use super::TopSegmentCollector;
use test::Bencher;
#[bench]
fn bench_top_segment_collector_collect_not_at_capacity(b: &mut Bencher) {
let mut top_collector = TopSegmentCollector::new(0, 400);
b.iter(|| {
for i in 0..100 {
top_collector.collect(i, 0.8);
}
});
}
#[bench]
fn bench_top_segment_collector_collect_at_capacity(b: &mut Bencher) {
let mut top_collector = TopSegmentCollector::new(0, 100);
for i in 0..100 {
top_collector.collect(i, 0.8);
}
b.iter(|| {
for i in 0..100 {
top_collector.collect(i, 0.8);
}
});
}
#[bench]
fn bench_top_segment_collector_collect_and_harvest_many_ties(b: &mut Bencher) {
b.iter(|| {
let mut top_collector = TopSegmentCollector::new(0, 100);
for i in 0..100 {
top_collector.collect(i, 0.8);
}
// it would be nice to be able to do the setup N times but still
// measure only harvest(). We can't since harvest() consumes
// the top_collector.
top_collector.harvest()
});
}
#[bench]
fn bench_top_segment_collector_collect_and_harvest_no_tie(b: &mut Bencher) {
b.iter(|| {
let mut top_collector = TopSegmentCollector::new(0, 100);
let mut score = 1.0;
for i in 0..100 {
score += 1.0;
top_collector.collect(i, score);
}
// it would be nice to be able to do the setup N times but still
// measure only harvest(). We can't since harvest() consumes
// the top_collector.
top_collector.harvest()
});
}
}

View File

@@ -15,13 +15,16 @@ use crate::SegmentLocalId;
use crate::SegmentReader;
use std::fmt;
/// The Top Score Collector keeps track of the K documents
/// The `TopDocs` collector keeps track of the top `K` documents
/// sorted by their score.
///
/// The implementation is based on a `BinaryHeap`.
/// The theorical complexity for collecting the top `K` out of `n` documents
/// is `O(n log K)`.
///
/// This collector guarantees a stable sorting in case of a tie on the
/// document score. As such, it is suitable to implement pagination.
///
/// ```rust
/// use tantivy::collector::TopDocs;
/// use tantivy::query::QueryParser;
@@ -428,12 +431,13 @@ impl SegmentCollector for TopScoreSegmentCollector {
mod tests {
use super::TopDocs;
use crate::collector::Collector;
use crate::query::{Query, QueryParser};
use crate::query::{AllQuery, Query, QueryParser};
use crate::schema::{Field, Schema, FAST, STORED, TEXT};
use crate::DocAddress;
use crate::Index;
use crate::IndexWriter;
use crate::Score;
use itertools::Itertools;
fn make_index() -> Index {
let mut schema_builder = Schema::builder();
@@ -494,6 +498,29 @@ mod tests {
);
}
#[test]
fn test_top_collector_stable_sorting() {
let index = make_index();
// using AllQuery to get a constant score
let searcher = index.reader().unwrap().searcher();
let page_1 = searcher.search(&AllQuery, &TopDocs::with_limit(2)).unwrap();
let page_2 = searcher.search(&AllQuery, &TopDocs::with_limit(3)).unwrap();
// precondition for the test to be meaningful: we did get documents
// with the same score
assert!(page_1.iter().map(|result| result.0).all_equal());
assert!(page_2.iter().map(|result| result.0).all_equal());
// sanity check since we're relying on make_index()
assert_eq!(page_1.len(), 2);
assert_eq!(page_2.len(), 3);
assert_eq!(page_1, &page_2[..page_1.len()]);
}
#[test]
#[should_panic]
fn test_top_0() {
@@ -551,7 +578,7 @@ mod tests {
));
});
let searcher = index.reader().unwrap().searcher();
let top_collector = TopDocs::with_limit(4).order_by_u64_field(Field(2));
let top_collector = TopDocs::with_limit(4).order_by_u64_field(Field::from_field_id(2));
let segment_reader = searcher.segment_reader(0u32);
top_collector
.for_segment(0, segment_reader)

View File

@@ -199,13 +199,13 @@ mod test {
let w = directory.open_write(path).unwrap();
let mut composite_write = CompositeWrite::wrap(w);
{
let mut write_0 = composite_write.for_field(Field(0u32));
let mut write_0 = composite_write.for_field(Field::from_field_id(0u32));
VInt(32431123u64).serialize(&mut write_0).unwrap();
write_0.flush().unwrap();
}
{
let mut write_4 = composite_write.for_field(Field(4u32));
let mut write_4 = composite_write.for_field(Field::from_field_id(4u32));
VInt(2).serialize(&mut write_4).unwrap();
write_4.flush().unwrap();
}
@@ -215,14 +215,18 @@ mod test {
let r = directory.open_read(path).unwrap();
let composite_file = CompositeFile::open(&r).unwrap();
{
let file0 = composite_file.open_read(Field(0u32)).unwrap();
let file0 = composite_file
.open_read(Field::from_field_id(0u32))
.unwrap();
let mut file0_buf = file0.as_slice();
let payload_0 = VInt::deserialize(&mut file0_buf).unwrap().0;
assert_eq!(file0_buf.len(), 0);
assert_eq!(payload_0, 32431123u64);
}
{
let file4 = composite_file.open_read(Field(4u32)).unwrap();
let file4 = composite_file
.open_read(Field::from_field_id(4u32))
.unwrap();
let mut file4_buf = file4.as_slice();
let payload_4 = VInt::deserialize(&mut file4_buf).unwrap().0;
assert_eq!(file4_buf.len(), 0);

View File

@@ -150,6 +150,21 @@ impl SegmentMeta {
self.num_deleted_docs() > 0
}
/// Updates the max_doc value from the `SegmentMeta`.
///
/// This method is only used when updating `max_doc` from 0
/// as we finalize a fresh new segment.
pub(crate) fn with_max_doc(self, max_doc: u32) -> SegmentMeta {
assert_eq!(self.tracked.max_doc, 0);
assert!(self.tracked.deletes.is_none());
let tracked = self.tracked.map(move |inner_meta| InnerSegmentMeta {
segment_id: inner_meta.segment_id,
max_doc,
deletes: None,
});
SegmentMeta { tracked }
}
#[doc(hidden)]
pub fn with_delete_meta(self, num_deleted_docs: u32, opstamp: Opstamp) -> SegmentMeta {
let delete_meta = DeleteMeta {

View File

@@ -50,6 +50,17 @@ impl Segment {
&self.meta
}
/// Updates the max_doc value from the `SegmentMeta`.
///
/// This method is only used when updating `max_doc` from 0
/// as we finalize a fresh new segment.
pub(crate) fn with_max_doc(self, max_doc: u32) -> Segment {
Segment {
index: self.index,
meta: self.meta.with_max_doc(max_doc),
}
}
#[doc(hidden)]
pub fn with_delete_meta(self, num_deleted_docs: u32, opstamp: Opstamp) -> Segment {
Segment {

View File

@@ -76,7 +76,7 @@ impl SegmentId {
}
/// Error type used when parsing a `SegmentId` from a string fails.
pub struct SegmentIdParseError(uuid::parser::ParseError);
pub struct SegmentIdParseError(uuid::Error);
impl Error for SegmentIdParseError {}

View File

@@ -327,8 +327,7 @@ mod tests_mmap_specific {
.unwrap();
assert!(managed_directory.exists(test_path1));
assert!(managed_directory.exists(test_path2));
let living_files: HashSet<PathBuf> =
[test_path1.to_owned()].into_iter().cloned().collect();
let living_files: HashSet<PathBuf> = [test_path1.to_owned()].iter().cloned().collect();
managed_directory.garbage_collect(|| living_files);
assert!(managed_directory.exists(test_path1));
assert!(!managed_directory.exists(test_path2));

View File

@@ -10,11 +10,14 @@ use std::io::Write;
/// Write a delete `BitSet`
///
/// where `delete_bitset` is the set of deleted `DocId`.
pub fn write_delete_bitset(delete_bitset: &BitSet, writer: &mut WritePtr) -> io::Result<()> {
let max_doc = delete_bitset.capacity();
pub fn write_delete_bitset(
delete_bitset: &BitSet,
max_doc: u32,
writer: &mut WritePtr,
) -> io::Result<()> {
let mut byte = 0u8;
let mut shift = 0u8;
for doc in 0..max_doc {
for doc in 0..(max_doc as usize) {
if delete_bitset.contains(doc) {
byte |= 1 << shift;
}
@@ -86,18 +89,17 @@ mod tests {
use bit_set::BitSet;
use std::path::PathBuf;
fn test_delete_bitset_helper(bitset: &BitSet) {
fn test_delete_bitset_helper(bitset: &BitSet, max_doc: u32) {
let test_path = PathBuf::from("test");
let mut directory = RAMDirectory::create();
{
let mut writer = directory.open_write(&*test_path).unwrap();
write_delete_bitset(bitset, &mut writer).unwrap();
write_delete_bitset(bitset, max_doc, &mut writer).unwrap();
}
{
let source = directory.open_read(&test_path).unwrap();
let delete_bitset = DeleteBitSet::open(source);
let n = bitset.capacity();
for doc in 0..n {
for doc in 0..max_doc as usize {
assert_eq!(bitset.contains(doc), delete_bitset.is_deleted(doc as DocId));
}
assert_eq!(delete_bitset.len(), bitset.len());
@@ -110,7 +112,7 @@ mod tests {
let mut bitset = BitSet::with_capacity(10);
bitset.insert(1);
bitset.insert(9);
test_delete_bitset_helper(&bitset);
test_delete_bitset_helper(&bitset, 10);
}
{
let mut bitset = BitSet::with_capacity(8);
@@ -119,7 +121,7 @@ mod tests {
bitset.insert(3);
bitset.insert(5);
bitset.insert(7);
test_delete_bitset_helper(&bitset);
test_delete_bitset_helper(&bitset, 8);
}
}
}

View File

@@ -59,8 +59,7 @@ impl FastFieldReaders {
fast_bytes: Default::default(),
fast_fields_composite: fast_fields_composite.clone(),
};
for (field_id, field_entry) in schema.fields().iter().enumerate() {
let field = Field(field_id as u32);
for (field, field_entry) in schema.fields() {
let field_type = field_entry.field_type();
if field_type == &FieldType::Bytes {
let idx_reader = fast_fields_composite

View File

@@ -24,8 +24,7 @@ impl FastFieldsWriter {
let mut multi_values_writers = Vec::new();
let mut bytes_value_writers = Vec::new();
for (field_id, field_entry) in schema.fields().iter().enumerate() {
let field = Field(field_id as u32);
for (field, field_entry) in schema.fields() {
let default_value = match *field_entry.field_type() {
FieldType::I64(_) => common::i64_to_u64(0i64),
FieldType::F64(_) => common::f64_to_u64(0.0f64),

View File

@@ -22,11 +22,14 @@ impl FieldNormsWriter {
pub(crate) fn fields_with_fieldnorm(schema: &Schema) -> Vec<Field> {
schema
.fields()
.iter()
.enumerate()
.filter(|&(_, field_entry)| field_entry.is_indexed())
.map(|(field, _)| Field(field as u32))
.collect::<Vec<Field>>()
.filter_map(|(field, field_entry)| {
if field_entry.is_indexed() {
Some(field)
} else {
None
}
})
.collect::<Vec<_>>()
}
/// Initialize with state for tracking the field norm fields
@@ -35,7 +38,7 @@ impl FieldNormsWriter {
let fields = FieldNormsWriter::fields_with_fieldnorm(schema);
let max_field = fields
.iter()
.map(|field| field.0)
.map(Field::field_id)
.max()
.map(|max_field_id| max_field_id as usize + 1)
.unwrap_or(0);
@@ -50,8 +53,8 @@ impl FieldNormsWriter {
///
/// Will extend with 0-bytes for documents that have not been seen.
pub fn fill_up_to_max_doc(&mut self, max_doc: DocId) {
for &field in self.fields.iter() {
self.fieldnorms_buffer[field.0 as usize].resize(max_doc as usize, 0u8);
for field in self.fields.iter() {
self.fieldnorms_buffer[field.field_id() as usize].resize(max_doc as usize, 0u8);
}
}
@@ -64,7 +67,7 @@ impl FieldNormsWriter {
/// * field - the field being set
/// * fieldnorm - the number of terms present in document `doc` in field `field`
pub fn record(&mut self, doc: DocId, field: Field, fieldnorm: u32) {
let fieldnorm_buffer: &mut Vec<u8> = &mut self.fieldnorms_buffer[field.0 as usize];
let fieldnorm_buffer: &mut Vec<u8> = &mut self.fieldnorms_buffer[field.field_id() as usize];
assert!(
fieldnorm_buffer.len() <= doc as usize,
"Cannot register a given fieldnorm twice"
@@ -77,7 +80,7 @@ impl FieldNormsWriter {
/// Serialize the seen fieldnorm values to the serializer for all fields.
pub fn serialize(&self, fieldnorms_serializer: &mut FieldNormsSerializer) -> io::Result<()> {
for &field in self.fields.iter() {
let fieldnorm_values: &[u8] = &self.fieldnorms_buffer[field.0 as usize][..];
let fieldnorm_values: &[u8] = &self.fieldnorms_buffer[field.field_id() as usize][..];
fieldnorms_serializer.serialize_field(field, fieldnorm_values)?;
}
Ok(())

View File

@@ -258,7 +258,7 @@ mod tests {
let delete_queue = DeleteQueue::new();
let make_op = |i: usize| {
let field = Field(1u32);
let field = Field::from_field_id(1u32);
DeleteOperation {
opstamp: i as u64,
term: Term::from_field_u64(field, i as u64),

View File

@@ -148,7 +148,6 @@ pub(crate) fn advance_deletes(
};
let delete_cursor = segment_entry.delete_cursor();
compute_deleted_bitset(
&mut delete_bitset,
&segment_reader,
@@ -168,7 +167,7 @@ pub(crate) fn advance_deletes(
if num_deleted_docs > 0 {
segment = segment.with_delete_meta(num_deleted_docs as u32, target_opstamp);
let mut delete_file = segment.open_write(SegmentComponent::DELETE)?;
write_delete_bitset(&delete_bitset, &mut delete_file)?;
write_delete_bitset(&delete_bitset, max_doc, &mut delete_file)?;
delete_file.terminate()?;
}
}
@@ -178,13 +177,13 @@ pub(crate) fn advance_deletes(
fn index_documents(
memory_budget: usize,
segment: &Segment,
segment: Segment,
grouped_document_iterator: &mut dyn Iterator<Item = OperationGroup>,
segment_updater: &mut SegmentUpdater,
mut delete_cursor: DeleteCursor,
) -> Result<bool> {
let schema = segment.schema();
let segment_id = segment.id();
let mut segment_writer = SegmentWriter::for_segment(memory_budget, segment.clone(), &schema)?;
for document_group in grouped_document_iterator {
for doc in document_group {
@@ -204,21 +203,30 @@ fn index_documents(
return Ok(false);
}
let num_docs = segment_writer.max_doc();
let max_doc = segment_writer.max_doc();
// this is ensured by the call to peek before starting
// the worker thread.
assert!(num_docs > 0);
assert!(max_doc > 0);
let doc_opstamps: Vec<Opstamp> = segment_writer.finalize()?;
let segment_meta = segment.index().new_segment_meta(segment_id, num_docs);
let segment_with_max_doc = segment.with_max_doc(max_doc);
let last_docstamp: Opstamp = *(doc_opstamps.last().unwrap());
let delete_bitset_opt =
apply_deletes(&segment, &mut delete_cursor, &doc_opstamps, last_docstamp)?;
let delete_bitset_opt = apply_deletes(
&segment_with_max_doc,
&mut delete_cursor,
&doc_opstamps,
last_docstamp,
)?;
let segment_entry = SegmentEntry::new(segment_meta, delete_cursor, delete_bitset_opt);
let segment_entry = SegmentEntry::new(
segment_with_max_doc.meta().clone(),
delete_cursor,
delete_bitset_opt,
);
Ok(segment_updater.add_segment(segment_entry))
}
@@ -235,7 +243,9 @@ fn apply_deletes(
}
let segment_reader = SegmentReader::open(segment)?;
let doc_to_opstamps = DocToOpstampMapping::from(doc_opstamps);
let mut deleted_bitset = BitSet::with_capacity(segment_reader.max_doc() as usize);
let max_doc = segment.meta().max_doc();
let mut deleted_bitset = BitSet::with_capacity(max_doc as usize);
let may_have_deletes = compute_deleted_bitset(
&mut deleted_bitset,
&segment_reader,
@@ -407,7 +417,7 @@ impl IndexWriter {
let segment = index.new_segment();
index_documents(
mem_budget,
&segment,
segment,
&mut document_iterator,
&mut segment_updater,
delete_cursor.clone(),

View File

@@ -190,8 +190,7 @@ impl IndexMerger {
fast_field_serializer: &mut FastFieldSerializer,
mut term_ord_mappings: HashMap<Field, TermOrdinalMapping>,
) -> Result<()> {
for (field_id, field_entry) in self.schema.fields().iter().enumerate() {
let field = Field(field_id as u32);
for (field, field_entry) in self.schema.fields() {
let field_type = field_entry.field_type();
match *field_type {
FieldType::HierarchicalFacet => {
@@ -649,15 +648,12 @@ impl IndexMerger {
serializer: &mut InvertedIndexSerializer,
) -> Result<HashMap<Field, TermOrdinalMapping>> {
let mut term_ordinal_mappings = HashMap::new();
for (field_ord, field_entry) in self.schema.fields().iter().enumerate() {
for (field, field_entry) in self.schema.fields() {
if field_entry.is_indexed() {
let indexed_field = Field(field_ord as u32);
if let Some(term_ordinal_mapping) = self.write_postings_for_field(
indexed_field,
field_entry.field_type(),
serializer,
)? {
term_ordinal_mappings.insert(indexed_field, term_ordinal_mapping);
if let Some(term_ordinal_mapping) =
self.write_postings_for_field(field, field_entry.field_type(), serializer)?
{
term_ordinal_mappings.insert(field, term_ordinal_mapping);
}
}
}

View File

@@ -28,3 +28,25 @@ pub use self::segment_writer::SegmentWriter;
/// Alias for the default merge policy, which is the `LogMergePolicy`.
pub type DefaultMergePolicy = LogMergePolicy;
#[cfg(test)]
mod tests {
use crate::schema::{self, Schema};
use crate::{Index, Term};
#[test]
fn test_advance_delete_bug() {
let mut schema_builder = Schema::builder();
let text_field = schema_builder.add_text_field("text", schema::TEXT);
let index = Index::create_from_tempdir(schema_builder.build()).unwrap();
let mut index_writer = index.writer_with_num_threads(1, 3_000_000).unwrap();
// there must be one deleted document in the segment
index_writer.add_document(doc!(text_field=>"b"));
index_writer.delete_term(Term::from_field_text(text_field, "b"));
// we need enough data to trigger the bug (at least 32 documents)
for _ in 0..32 {
index_writer.add_document(doc!(text_field=>"c"));
}
index_writer.commit().unwrap();
index_writer.commit().unwrap();
}
}

View File

@@ -6,11 +6,11 @@ use crate::fieldnorm::FieldNormsWriter;
use crate::indexer::segment_serializer::SegmentSerializer;
use crate::postings::compute_table_size;
use crate::postings::MultiFieldPostingsWriter;
use crate::schema::FieldEntry;
use crate::schema::FieldType;
use crate::schema::Schema;
use crate::schema::Term;
use crate::schema::Value;
use crate::schema::{Field, FieldEntry};
use crate::tokenizer::BoxedTokenizer;
use crate::tokenizer::FacetTokenizer;
use crate::tokenizer::{TokenStream, Tokenizer};
@@ -70,12 +70,10 @@ impl SegmentWriter {
let table_num_bits = initial_table_size(memory_budget)?;
let segment_serializer = SegmentSerializer::for_segment(&mut segment)?;
let multifield_postings = MultiFieldPostingsWriter::new(schema, table_num_bits);
let tokenizers =
schema
.fields()
.iter()
.map(FieldEntry::field_type)
.map(|field_type| match *field_type {
let tokenizers = schema
.fields()
.map(
|(_, field_entry): (Field, &FieldEntry)| match field_entry.field_type() {
FieldType::Str(ref text_options) => text_options
.get_indexing_options()
.and_then(|text_index_option| {
@@ -83,8 +81,9 @@ impl SegmentWriter {
segment.index().tokenizers().get(tokenizer_name)
}),
_ => None,
})
.collect();
},
)
.collect();
Ok(SegmentWriter {
max_doc: 0,
multifield_postings,
@@ -160,7 +159,7 @@ impl SegmentWriter {
}
FieldType::Str(_) => {
let num_tokens = if let Some(ref mut tokenizer) =
self.tokenizers[field.0 as usize]
self.tokenizers[field.field_id() as usize]
{
let texts: Vec<&str> = field_values
.iter()

View File

@@ -212,15 +212,13 @@ pub type Score = f32;
pub type SegmentLocalId = u32;
impl DocAddress {
/// Return the segment ordinal.
/// The segment ordinal is an id identifying the segment
/// hosting the document. It is only meaningful, in the context
/// of a searcher.
/// Return the segment ordinal id that identifies the segment
/// hosting the document in the `Searcher` it is called from.
pub fn segment_ord(self) -> SegmentLocalId {
self.0
}
/// Return the segment local `DocId`
/// Return the segment-local `DocId`
pub fn doc(self) -> DocId {
self.1
}
@@ -229,11 +227,11 @@ impl DocAddress {
/// `DocAddress` contains all the necessary information
/// to identify a document given a `Searcher` object.
///
/// It consists in an id identifying its segment, and
/// its segment-local `DocId`.
/// It consists of an id identifying its segment, and
/// a segment-local `DocId`.
///
/// The id used for the segment is actually an ordinal
/// in the list of segment hold by a `Searcher`.
/// in the list of `Segment`s held by a `Searcher`.
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub struct DocAddress(pub SegmentLocalId, pub DocId);

View File

@@ -356,9 +356,9 @@ pub mod tests {
#[test]
fn test_skip_next() {
let term_0 = Term::from_field_u64(Field(0), 0);
let term_1 = Term::from_field_u64(Field(0), 1);
let term_2 = Term::from_field_u64(Field(0), 2);
let term_0 = Term::from_field_u64(Field::from_field_id(0), 0);
let term_1 = Term::from_field_u64(Field::from_field_id(0), 1);
let term_2 = Term::from_field_u64(Field::from_field_id(0), 2);
let num_docs = 300u32;
@@ -511,19 +511,19 @@ pub mod tests {
}
pub static TERM_A: Lazy<Term> = Lazy::new(|| {
let field = Field(0);
let field = Field::from_field_id(0);
Term::from_field_text(field, "a")
});
pub static TERM_B: Lazy<Term> = Lazy::new(|| {
let field = Field(0);
let field = Field::from_field_id(0);
Term::from_field_text(field, "b")
});
pub static TERM_C: Lazy<Term> = Lazy::new(|| {
let field = Field(0);
let field = Field::from_field_id(0);
Term::from_field_text(field, "c")
});
pub static TERM_D: Lazy<Term> = Lazy::new(|| {
let field = Field(0);
let field = Field::from_field_id(0);
Term::from_field_text(field, "d")
});

View File

@@ -61,12 +61,12 @@ fn make_field_partition(
.iter()
.map(|(key, _, _)| Term::wrap(key).field())
.enumerate();
let mut prev_field = Field(u32::max_value());
let mut prev_field_opt = None;
let mut fields = vec![];
let mut offsets = vec![];
for (offset, field) in term_offsets_it {
if field != prev_field {
prev_field = field;
if Some(field) != prev_field_opt {
prev_field_opt = Some(field);
fields.push(field);
offsets.push(offset);
}
@@ -86,8 +86,7 @@ impl MultiFieldPostingsWriter {
let term_index = TermHashMap::new(table_bits);
let per_field_postings_writers: Vec<_> = schema
.fields()
.iter()
.map(|field_entry| posting_from_field_entry(field_entry))
.map(|(_, field_entry)| posting_from_field_entry(field_entry))
.collect();
MultiFieldPostingsWriter {
heap: MemoryArena::new(),
@@ -107,7 +106,8 @@ impl MultiFieldPostingsWriter {
field: Field,
token_stream: &mut dyn TokenStream,
) -> u32 {
let postings_writer = self.per_field_postings_writers[field.0 as usize].deref_mut();
let postings_writer =
self.per_field_postings_writers[field.field_id() as usize].deref_mut();
postings_writer.index_text(
&mut self.term_index,
doc,
@@ -118,7 +118,8 @@ impl MultiFieldPostingsWriter {
}
pub fn subscribe(&mut self, doc: DocId, term: &Term) -> UnorderedTermId {
let postings_writer = self.per_field_postings_writers[term.field().0 as usize].deref_mut();
let postings_writer =
self.per_field_postings_writers[term.field().field_id() as usize].deref_mut();
postings_writer.subscribe(&mut self.term_index, doc, 0u32, term, &mut self.heap)
}
@@ -160,7 +161,7 @@ impl MultiFieldPostingsWriter {
FieldType::Bytes => {}
}
let postings_writer = &self.per_field_postings_writers[field.0 as usize];
let postings_writer = &self.per_field_postings_writers[field.field_id() as usize];
let mut field_serializer =
serializer.new_field(field, postings_writer.total_num_tokens())?;
postings_writer.serialize(

View File

@@ -9,7 +9,8 @@ use crate::Result;
use crate::Searcher;
use std::collections::BTreeSet;
/// The boolean query combines a set of queries
/// 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
@@ -19,6 +20,113 @@ use std::collections::BTreeSet;
/// `MustNot` occurence.
/// * match at least one of the subqueries that is not
/// a `MustNot` occurence.
///
///
/// 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, Result};
///
///fn main() -> 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 = 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",
/// 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().unwrap();
/// }
///
/// 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::from(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::from(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::from(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::from(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>)>,

View File

@@ -40,7 +40,7 @@ impl PhraseQuery {
PhraseQuery::new_with_offset(terms_with_offset)
}
/// Creates a new `PhraseQuery` given a list of terms and there offsets.
/// Creates a new `PhraseQuery` given a list of terms and their offsets.
///
/// Can be used to provide custom offset for each term.
pub fn new_with_offset(mut terms: Vec<(usize, Term)>) -> PhraseQuery {
@@ -73,7 +73,7 @@ impl PhraseQuery {
.collect::<Vec<Term>>()
}
/// Returns the `PhraseWeight` for the given phrase query given a specific `searcher`.
/// Returns the `PhraseWeight` for the given phrase query given a specific `searcher`.
///
/// This function is the same as `.weight(...)` except it returns
/// a specialized type `PhraseWeight` instead of a Boxed trait.

View File

@@ -674,13 +674,19 @@ mod test {
test_parse_query_to_logical_ast_helper(
"signed:-2324",
&format!("{:?}", Term::from_field_i64(Field(2u32), -2324)),
&format!(
"{:?}",
Term::from_field_i64(Field::from_field_id(2u32), -2324)
),
false,
);
test_parse_query_to_logical_ast_helper(
"float:2.5",
&format!("{:?}", Term::from_field_f64(Field(10u32), 2.5)),
&format!(
"{:?}",
Term::from_field_f64(Field::from_field_id(10u32), 2.5)
),
false,
);
}

View File

@@ -118,7 +118,7 @@ mod tests {
#[test]
fn test_term_query_debug() {
let term_query = TermQuery::new(
Term::from_field_text(Field(1), "hello"),
Term::from_field_text(Field::from_field_id(1), "hello"),
IndexRecordOption::WithFreqs,
);
assert_eq!(

View File

@@ -3,14 +3,23 @@ use std::io;
use std::io::Read;
use std::io::Write;
/// `Field` is actually a `u8` identifying a `Field`
/// The schema is in charge of holding mapping between field names
/// to `Field` objects.
///
/// Because the field id is a `u8`, tantivy can only have at most `255` fields.
/// Value 255 is reserved.
/// `Field` is represented by an unsigned 32-bit integer type
/// The schema holds the mapping between field names and `Field` objects.
#[derive(Copy, Clone, Debug, PartialEq, PartialOrd, Eq, Ord, Hash, Serialize, Deserialize)]
pub struct Field(pub u32);
pub struct Field(u32);
impl Field {
/// Create a new field object for the given FieldId.
pub fn from_field_id(field_id: u32) -> Field {
Field(field_id)
}
/// Returns a u32 identifying uniquely a field within a schema.
#[allow(clippy::trivially_copy_pass_by_ref)]
pub fn field_id(&self) -> u32 {
self.0
}
}
impl BinarySerializable for Field {
fn serialize<W: Write>(&self, writer: &mut W) -> io::Result<()> {

View File

@@ -167,7 +167,7 @@ impl SchemaBuilder {
/// Adds a field entry to the schema in build.
fn add_field(&mut self, field_entry: FieldEntry) -> Field {
let field = Field(self.fields.len() as u32);
let field = Field::from_field_id(self.fields.len() as u32);
let field_name = field_entry.name().to_string();
self.fields.push(field_entry);
self.fields_map.insert(field_name, field);
@@ -223,7 +223,7 @@ pub struct Schema(Arc<InnerSchema>);
impl Schema {
/// Return the `FieldEntry` associated to a `Field`.
pub fn get_field_entry(&self, field: Field) -> &FieldEntry {
&self.0.fields[field.0 as usize]
&self.0.fields[field.field_id() as usize]
}
/// Return the field name for a given `Field`.
@@ -232,8 +232,12 @@ impl Schema {
}
/// Return the list of all the `Field`s.
pub fn fields(&self) -> &[FieldEntry] {
&self.0.fields
pub fn fields(&self) -> impl Iterator<Item = (Field, &FieldEntry)> {
self.0
.fields
.iter()
.enumerate()
.map(|(field_id, field_entry)| (Field::from_field_id(field_id as u32), field_entry))
}
/// Creates a new builder.
@@ -485,13 +489,32 @@ mod tests {
let schema: Schema = serde_json::from_str(expected).unwrap();
let mut fields = schema.fields().iter();
assert_eq!("title", fields.next().unwrap().name());
assert_eq!("author", fields.next().unwrap().name());
assert_eq!("count", fields.next().unwrap().name());
assert_eq!("popularity", fields.next().unwrap().name());
assert_eq!("score", fields.next().unwrap().name());
let mut fields = schema.fields();
{
let (field, field_entry) = fields.next().unwrap();
assert_eq!("title", field_entry.name());
assert_eq!(0, field.field_id());
}
{
let (field, field_entry) = fields.next().unwrap();
assert_eq!("author", field_entry.name());
assert_eq!(1, field.field_id());
}
{
let (field, field_entry) = fields.next().unwrap();
assert_eq!("count", field_entry.name());
assert_eq!(2, field.field_id());
}
{
let (field, field_entry) = fields.next().unwrap();
assert_eq!("popularity", field_entry.name());
assert_eq!(3, field.field_id());
}
{
let (field, field_entry) = fields.next().unwrap();
assert_eq!("score", field_entry.name());
assert_eq!(4, field.field_id());
}
assert!(fields.next().is_none());
}

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@@ -105,7 +105,7 @@ impl Term {
if self.0.len() < 4 {
self.0.resize(4, 0u8);
}
BigEndian::write_u32(&mut self.0[0..4], field.0);
BigEndian::write_u32(&mut self.0[0..4], field.field_id());
}
/// Sets a u64 value in the term.
@@ -157,7 +157,7 @@ where
/// Returns the field.
pub fn field(&self) -> Field {
Field(BigEndian::read_u32(&self.0.as_ref()[..4]))
Field::from_field_id(BigEndian::read_u32(&self.0.as_ref()[..4]))
}
/// Returns the `u64` value stored in a term.
@@ -227,7 +227,7 @@ impl fmt::Debug for Term {
write!(
f,
"Term(field={},bytes={:?})",
self.field().0,
self.field().field_id(),
self.value_bytes()
)
}

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@@ -1,5 +1,4 @@
use fail;
use std::io::Write;
use std::path::Path;
use tantivy::directory::{Directory, ManagedDirectory, RAMDirectory, TerminatingWrite};
use tantivy::doc;