mirror of
https://github.com/quickwit-oss/tantivy.git
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2 Commits
0.13.3
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githubacti
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6eb7c7f419 | ||
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e37ca8178a |
28
.github/workflows/ci.yml
vendored
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28
.github/workflows/ci.yml
vendored
Normal file
@@ -0,0 +1,28 @@
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name: Tantivy CI
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on: [push]
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jobs:
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test:
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name: Test Suite
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions-rs/toolchain@v1
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with:
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profile: minimal
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toolchain: stable
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override: true
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- uses: actions-rs/cargo@v1
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with:
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command: test
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- uses: actions-rs/cargo@v1
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with:
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command: fmt
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args: --all -- --check
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- run: rustup component add clippy
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- uses: actions-rs/cargo@v1
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with:
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command: clippy
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args: -- -D warnings
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66
.github/workflows/coveralls.yml
vendored
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66
.github/workflows/coveralls.yml
vendored
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@@ -0,0 +1,66 @@
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on: [push]
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name: Code coverage with grcov
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jobs:
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grcov:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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os:
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- ubuntu-latest
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#- macOS-latest
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#- windows-latest
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steps:
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- uses: actions/checkout@v2
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- name: Install toolchain
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uses: actions-rs/toolchain@v1
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with:
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toolchain: nightly
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override: true
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profile: minimal
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- name: Execute tests
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uses: actions-rs/cargo@v1
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with:
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command: test
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args: --all --lib
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env:
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CARGO_INCREMENTAL: 0
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RUSTFLAGS: "-Zprofile -Ccodegen-units=1 -Cinline-threshold=0 -Clink-dead-code -Coverflow-checks=off -Cpanic=abort -Zpanic_abort_tests"
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# Note that `actions-rs/grcov` Action can install `grcov` too,
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# but can't use faster installation methods yet.
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# As a temporary experiment `actions-rs/install` Action plugged in here.
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# Consider **NOT** to copy that into your workflow,
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# but use `actions-rs/grcov` only
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- name: Pre-installing grcov
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uses: actions-rs/install@v0.1
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with:
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crate: grcov
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use-tool-cache: true
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- name: Gather coverage data
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id: coverage
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uses: actions-rs/grcov@v0.1
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with:
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coveralls-token: ${{ secrets.COVERALLS_TOKEN }}
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- name: Coveralls upload
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uses: coverallsapp/github-action@master
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with:
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github-token: ${{ secrets.GITHUB_TOKEN }}
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parallel: true
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path-to-lcov: ${{ steps.coverage.outputs.report }}
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grcov_finalize:
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runs-on: ubuntu-latest
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needs: grcov
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steps:
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- name: Coveralls finalization
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uses: coverallsapp/github-action@master
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with:
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github-token: ${{ secrets.GITHUB_TOKEN }}
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parallel-finished: true
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15
CHANGELOG.md
15
CHANGELOG.md
@@ -1,18 +1,3 @@
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Tantivy 0.13.3
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======================
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Bugfix. Avoid relying on serde's reexport of PhantomData. (#975)
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Tantivy 0.13.2
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===================
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Bugfix. Acquiring a facet reader on a segment that does not contain any
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doc with this facet returns `None`. (#896)
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Tantivy 0.13.1
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======================
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Made `Query` and `Collector` `Send + Sync`.
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Updated misc dependency versions.
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Tantivy 0.13.0
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======================
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Tantivy 0.13 introduce a change in the index format that will require
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36
Cargo.toml
36
Cargo.toml
@@ -1,6 +1,6 @@
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[package]
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name = "tantivy"
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version = "0.13.3"
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version = "0.13.0"
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authors = ["Paul Masurel <paul.masurel@gmail.com>"]
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license = "MIT"
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categories = ["database-implementations", "data-structures"]
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@@ -13,21 +13,21 @@ keywords = ["search", "information", "retrieval"]
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edition = "2018"
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[dependencies]
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base64 = "0.12"
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byteorder = "1"
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crc32fast = "1"
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once_cell = "1"
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regex ={version = "1", default-features = false, features = ["std"]}
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base64 = "0.12.0"
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byteorder = "1.0"
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crc32fast = "1.2.0"
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once_cell = "1.0"
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regex ={version = "1.3.0", default-features = false, features = ["std"]}
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tantivy-fst = "0.3"
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memmap = {version = "0.7", optional=true}
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lz4 = {version="1", optional=true}
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lz4 = {version="1.20", optional=true}
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snap = "1"
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atomicwrites = {version="0.2", optional=true}
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tempfile = "3"
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atomicwrites = {version="0.2.2", optional=true}
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tempfile = "3.0"
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log = "0.4"
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serde = {version="1", features=["derive"]}
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serde_json = "1"
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num_cpus = "1"
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serde = {version="1.0", features=["derive"]}
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serde_json = "1.0"
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num_cpus = "1.2"
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fs2={version="0.4", optional=true}
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levenshtein_automata = "0.2"
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notify = {version="4", optional=true}
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@@ -35,20 +35,20 @@ uuid = { version = "0.8", features = ["v4", "serde"] }
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crossbeam = "0.7"
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futures = {version = "0.3", features=["thread-pool"] }
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owning_ref = "0.4"
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stable_deref_trait = "1"
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rust-stemmers = "1"
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downcast-rs = "1"
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stable_deref_trait = "1.0.0"
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rust-stemmers = "1.2"
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downcast-rs = { version="1.0" }
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tantivy-query-grammar = { version="0.13", path="./query-grammar" }
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bitpacking = {version="0.8", default-features = false, features=["bitpacker4x"]}
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census = "0.4"
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fnv = "1"
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fnv = "1.0.6"
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owned-read = "0.4"
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failure = "0.1"
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htmlescape = "0.3"
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htmlescape = "0.3.1"
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fail = "0.4"
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murmurhash32 = "0.2"
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chrono = "0.4"
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smallvec = "1"
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smallvec = "1.0"
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rayon = "1"
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[target.'cfg(windows)'.dependencies]
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@@ -56,7 +56,7 @@ fn main() -> tantivy::Result<()> {
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);
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let top_docs_by_custom_score =
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TopDocs::with_limit(2).tweak_score(move |segment_reader: &SegmentReader| {
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let ingredient_reader = segment_reader.facet_reader(ingredient).unwrap();
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let mut ingredient_reader = segment_reader.facet_reader(ingredient).unwrap();
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let facet_dict = ingredient_reader.facet_dict();
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let query_ords: HashSet<u64> = facets
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@@ -46,7 +46,7 @@ pub trait CustomScorer<TScore>: Sync {
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impl<TCustomScorer, TScore> Collector for CustomScoreTopCollector<TCustomScorer, TScore>
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where
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TCustomScorer: CustomScorer<TScore> + Send + Sync,
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TCustomScorer: CustomScorer<TScore>,
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TScore: 'static + PartialOrd + Clone + Send + Sync,
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{
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type Fruit = Vec<(TScore, DocAddress)>;
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@@ -133,7 +133,7 @@ impl<T> Fruit for T where T: Send + downcast_rs::Downcast {}
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/// The collection logic itself is in the `SegmentCollector`.
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///
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/// Segments are not guaranteed to be visited in any specific order.
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pub trait Collector: Sync + Send {
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pub trait Collector: Sync {
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/// `Fruit` is the type for the result of our collection.
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/// e.g. `usize` for the `Count` collector.
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type Fruit: Fruit;
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@@ -2,7 +2,7 @@ use crate::DocAddress;
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use crate::DocId;
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use crate::SegmentLocalId;
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use crate::SegmentReader;
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use std::marker::PhantomData;
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use serde::export::PhantomData;
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use std::cmp::Ordering;
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use std::collections::BinaryHeap;
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@@ -324,7 +324,7 @@ impl TopDocs {
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where
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TScore: 'static + Send + Sync + Clone + PartialOrd,
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TScoreSegmentTweaker: ScoreSegmentTweaker<TScore> + 'static,
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TScoreTweaker: ScoreTweaker<TScore, Child = TScoreSegmentTweaker> + Send + Sync,
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TScoreTweaker: ScoreTweaker<TScore, Child = TScoreSegmentTweaker>,
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{
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TweakedScoreTopCollector::new(score_tweaker, self.0.into_tscore())
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}
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@@ -438,7 +438,7 @@ impl TopDocs {
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where
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TScore: 'static + Send + Sync + Clone + PartialOrd,
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TCustomSegmentScorer: CustomSegmentScorer<TScore> + 'static,
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TCustomScorer: CustomScorer<TScore, Child = TCustomSegmentScorer> + Send + Sync,
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TCustomScorer: CustomScorer<TScore, Child = TCustomSegmentScorer>,
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{
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CustomScoreTopCollector::new(custom_score, self.0.into_tscore())
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}
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@@ -49,7 +49,7 @@ pub trait ScoreTweaker<TScore>: Sync {
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impl<TScoreTweaker, TScore> Collector for TweakedScoreTopCollector<TScoreTweaker, TScore>
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where
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TScoreTweaker: ScoreTweaker<TScore> + Send + Sync,
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TScoreTweaker: ScoreTweaker<TScore>,
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TScore: 'static + PartialOrd + Clone + Send + Sync,
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{
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type Fruit = Vec<(TScore, DocAddress)>;
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@@ -112,10 +112,8 @@ impl SegmentReader {
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return None;
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}
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let term_ords_reader = self.fast_fields().u64s(field)?;
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let termdict = self.termdict_composite
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.open_read(field)
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.map(|source| TermDictionary::from_source(&source))
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.unwrap_or_else(TermDictionary::empty);
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let termdict_source = self.termdict_composite.open_read(field)?;
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let termdict = TermDictionary::from_source(&termdict_source);
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let facet_reader = FacetReader::new(term_ords_reader, termdict);
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Some(facet_reader)
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}
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@@ -73,52 +73,7 @@ impl FacetReader {
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}
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/// Return the list of facet ordinals associated to a document.
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pub fn facet_ords(&self, doc: DocId, output: &mut Vec<u64>) {
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pub fn facet_ords(&mut self, doc: DocId, output: &mut Vec<u64>) {
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self.term_ords.get_vals(doc, output);
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}
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}
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#[cfg(test)]
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mod tests {
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use crate::{Document, schema::{Facet, SchemaBuilder}};
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use crate::Index;
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#[test]
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fn test_facet_not_populated_for_all_docs() -> crate::Result<()> {
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let mut schema_builder = SchemaBuilder::default();
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let facet_field = schema_builder.add_facet_field("facet");
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let schema = schema_builder.build();
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let index = Index::create_in_ram(schema);
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let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
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index_writer.add_document(doc!(facet_field=>Facet::from_text("/a/b")));
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index_writer.add_document(Document::default());
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index_writer.commit()?;
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let searcher = index.reader()?.searcher();
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let facet_reader = searcher.segment_reader(0u32).facet_reader(facet_field).unwrap();
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let mut facet_ords = Vec::new();
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facet_reader.facet_ords(0u32, &mut facet_ords);
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assert_eq!(&facet_ords, &[2u64]);
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facet_reader.facet_ords(1u32, &mut facet_ords);
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assert!(facet_ords.is_empty());
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Ok(())
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}
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#[test]
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fn test_facet_not_populated_for_any_docs() -> crate::Result<()> {
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let mut schema_builder = SchemaBuilder::default();
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let facet_field = schema_builder.add_facet_field("facet");
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let schema = schema_builder.build();
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let index = Index::create_in_ram(schema);
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let mut index_writer = index.writer_with_num_threads(1, 10_000_000)?;
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index_writer.add_document(Document::default());
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index_writer.add_document(Document::default());
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index_writer.commit()?;
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let searcher = index.reader()?.searcher();
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let facet_reader = searcher.segment_reader(0u32).facet_reader(facet_field).unwrap();
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let mut facet_ords = Vec::new();
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facet_reader.facet_ords(0u32, &mut facet_ords);
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assert!(facet_ords.is_empty());
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facet_reader.facet_ords(1u32, &mut facet_ords);
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assert!(facet_ords.is_empty());
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Ok(())
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}
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}
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@@ -126,7 +126,6 @@ impl FastFieldsWriter {
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for field_writer in &self.single_value_writers {
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field_writer.serialize(serializer)?;
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}
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for field_writer in &self.multi_values_writers {
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let field = field_writer.field();
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field_writer.serialize(serializer, mapping.get(&field))?;
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@@ -151,7 +151,7 @@ impl SegmentWriter {
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if let Some(unordered_term_id) = unordered_term_id_opt {
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self.fast_field_writers
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.get_multivalue_writer(field)
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.expect("writer for facet missing")
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.expect("multified writer for facet missing")
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.add_val(unordered_term_id);
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}
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}
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@@ -40,7 +40,7 @@ use std::fmt;
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///
|
||||
/// When implementing a new type of `Query`, it is normal to implement a
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||||
/// dedicated `Query`, `Weight` and `Scorer`.
|
||||
pub trait Query: QueryClone + Send + Sync + downcast_rs::Downcast + fmt::Debug {
|
||||
pub trait Query: QueryClone + downcast_rs::Downcast + fmt::Debug {
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/// Create the weight associated to a query.
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///
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||||
/// If scoring is not required, setting `scoring_enabled` to `false`
|
||||
|
||||
Reference in New Issue
Block a user