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62
CHANGELOG.md
62
CHANGELOG.md
@@ -1,3 +1,65 @@
|
||||
Tantivy 0.22
|
||||
================================
|
||||
|
||||
Tantivy 0.22 will be able to read indices created with Tantivy 0.21.
|
||||
|
||||
#### Bugfixes
|
||||
- Fix null byte handling in JSON paths (null bytes in json keys caused panic during indexing) [#2345](https://github.com/quickwit-oss/tantivy/pull/2345)(@PSeitz)
|
||||
- Fix bug that can cause `get_docids_for_value_range` to panic. [#2295](https://github.com/quickwit-oss/tantivy/pull/2295)(@fulmicoton)
|
||||
- Avoid 1 document indices by increase min memory to 15MB for indexing [#2176](https://github.com/quickwit-oss/tantivy/pull/2176)(@PSeitz)
|
||||
- Fix merge panic for JSON fields [#2284](https://github.com/quickwit-oss/tantivy/pull/2284)(@PSeitz)
|
||||
- Fix bug occuring when merging JSON object indexed with positions. [#2253](https://github.com/quickwit-oss/tantivy/pull/2253)(@fulmicoton)
|
||||
- Fix empty DateHistogram gap bug [#2183](https://github.com/quickwit-oss/tantivy/pull/2183)(@PSeitz)
|
||||
- Fix range query end check (fields with less than 1 value per doc are affected) [#2226](https://github.com/quickwit-oss/tantivy/pull/2226)(@PSeitz)
|
||||
- Handle exclusive out of bounds ranges on fastfield range queries [#2174](https://github.com/quickwit-oss/tantivy/pull/2174)(@PSeitz)
|
||||
|
||||
#### Breaking API Changes
|
||||
- rename ReloadPolicy onCommit to onCommitWithDelay [#2235](https://github.com/quickwit-oss/tantivy/pull/2235)(@giovannicuccu)
|
||||
- Move exports from the root into modules [#2220](https://github.com/quickwit-oss/tantivy/pull/2220)(@PSeitz)
|
||||
- Accept field name instead of `Field` in FilterCollector [#2196](https://github.com/quickwit-oss/tantivy/pull/2196)(@PSeitz)
|
||||
- remove deprecated IntOptions and DateTime [#2353](https://github.com/quickwit-oss/tantivy/pull/2353)(@PSeitz)
|
||||
|
||||
#### Features/Improvements
|
||||
- Tantivy documents as a trait: Index data directly without converting to tantivy types first [#2071](https://github.com/quickwit-oss/tantivy/pull/2071)(@ChillFish8)
|
||||
- encode some part of posting list as -1 instead of direct values (smaller inverted indices) [#2185](https://github.com/quickwit-oss/tantivy/pull/2185)(@trinity-1686a)
|
||||
- **Aggregation**
|
||||
- Support to deserialize f64 from string [#2311](https://github.com/quickwit-oss/tantivy/pull/2311)(@PSeitz)
|
||||
- Add a top_hits aggregator [#2198](https://github.com/quickwit-oss/tantivy/pull/2198)(@ditsuke)
|
||||
- Support bool type in term aggregation [#2318](https://github.com/quickwit-oss/tantivy/pull/2318)(@PSeitz)
|
||||
- Support ip adresses in term aggregation [#2319](https://github.com/quickwit-oss/tantivy/pull/2319)(@PSeitz)
|
||||
- Support date type in term aggregation [#2172](https://github.com/quickwit-oss/tantivy/pull/2172)(@PSeitz)
|
||||
- Support escaped dot when addressing field [#2250](https://github.com/quickwit-oss/tantivy/pull/2250)(@PSeitz)
|
||||
|
||||
- Add ExistsQuery to check documents that have a value [#2160](https://github.com/quickwit-oss/tantivy/pull/2160)(@imotov)
|
||||
- Expose TopDocs::order_by_u64_field again [#2282](https://github.com/quickwit-oss/tantivy/pull/2282)(@ditsuke)
|
||||
|
||||
- **Memory/Performance**
|
||||
- Faster TopN: replace BinaryHeap with TopNComputer [#2186](https://github.com/quickwit-oss/tantivy/pull/2186)(@PSeitz)
|
||||
- reduce number of allocations during indexing [#2257](https://github.com/quickwit-oss/tantivy/pull/2257)(@PSeitz)
|
||||
- Less Memory while indexing: docid deltas while indexing [#2249](https://github.com/quickwit-oss/tantivy/pull/2249)(@PSeitz)
|
||||
- Faster indexing: use term hashmap in fastfield [#2243](https://github.com/quickwit-oss/tantivy/pull/2243)(@PSeitz)
|
||||
- term hashmap remove copy in is_empty, unused unordered_id [#2229](https://github.com/quickwit-oss/tantivy/pull/2229)(@PSeitz)
|
||||
- add method to fetch block of first values in columnar [#2330](https://github.com/quickwit-oss/tantivy/pull/2330)(@PSeitz)
|
||||
- Faster aggregations: add fast path for full columns in fetch_block [#2328](https://github.com/quickwit-oss/tantivy/pull/2328)(@PSeitz)
|
||||
- Faster sstable loading: use fst for sstable index [#2268](https://github.com/quickwit-oss/tantivy/pull/2268)(@trinity-1686a)
|
||||
|
||||
- **QueryParser**
|
||||
- allow newline where we allow space in query parser [#2302](https://github.com/quickwit-oss/tantivy/pull/2302)(@trinity-1686a)
|
||||
- allow some mixing of occur and bool in strict query parser [#2323](https://github.com/quickwit-oss/tantivy/pull/2323)(@trinity-1686a)
|
||||
- handle * inside term in lenient query parser [#2228](https://github.com/quickwit-oss/tantivy/pull/2228)(@trinity-1686a)
|
||||
- add support for exists query syntax in query parser [#2170](https://github.com/quickwit-oss/tantivy/pull/2170)(@trinity-1686a)
|
||||
- Add shared search executor [#2312](https://github.com/quickwit-oss/tantivy/pull/2312)(@MochiXu)
|
||||
- Truncate keys to u16::MAX in term hashmap [#2299](https://github.com/quickwit-oss/tantivy/pull/2299)(@PSeitz)
|
||||
- report if a term matched when warming up posting list [#2309](https://github.com/quickwit-oss/tantivy/pull/2309)(@trinity-1686a)
|
||||
- Support json fields in FuzzyTermQuery [#2173](https://github.com/quickwit-oss/tantivy/pull/2173)(@PingXia-at)
|
||||
- Read list of fields encoded in term dictionary for JSON fields [#2184](https://github.com/quickwit-oss/tantivy/pull/2184)(@PSeitz)
|
||||
- add collect_block to BoxableSegmentCollector [#2331](https://github.com/quickwit-oss/tantivy/pull/2331)(@PSeitz)
|
||||
- expose collect_block buffer size [#2326](https://github.com/quickwit-oss/tantivy/pull/2326)(@PSeitz)
|
||||
- Forward regex parser errors [#2288](https://github.com/quickwit-oss/tantivy/pull/2288)(@adamreichold)
|
||||
- Make FacetCounts defaultable and cloneable. [#2322](https://github.com/quickwit-oss/tantivy/pull/2322)(@adamreichold)
|
||||
- Derive Debug for SchemaBuilder [#2254](https://github.com/quickwit-oss/tantivy/pull/2254)(@GodTamIt)
|
||||
- add missing inlines to tantivy options [#2245](https://github.com/quickwit-oss/tantivy/pull/2245)(@PSeitz)
|
||||
|
||||
Tantivy 0.21.1
|
||||
================================
|
||||
#### Bugfixes
|
||||
|
||||
23
Cargo.toml
23
Cargo.toml
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy"
|
||||
version = "0.22.0-dev"
|
||||
version = "0.22.0"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
@@ -11,12 +11,12 @@ repository = "https://github.com/quickwit-oss/tantivy"
|
||||
readme = "README.md"
|
||||
keywords = ["search", "information", "retrieval"]
|
||||
edition = "2021"
|
||||
rust-version = "1.62"
|
||||
rust-version = "1.63"
|
||||
exclude = ["benches/*.json", "benches/*.txt"]
|
||||
|
||||
[dependencies]
|
||||
oneshot = "0.1.5"
|
||||
base64 = "0.21.0"
|
||||
base64 = "0.22.0"
|
||||
byteorder = "1.4.3"
|
||||
crc32fast = "1.3.2"
|
||||
once_cell = "1.10.0"
|
||||
@@ -52,13 +52,13 @@ itertools = "0.12.0"
|
||||
measure_time = "0.8.2"
|
||||
arc-swap = "1.5.0"
|
||||
|
||||
columnar = { version= "0.2", path="./columnar", package ="tantivy-columnar" }
|
||||
sstable = { version= "0.2", path="./sstable", package ="tantivy-sstable", optional = true }
|
||||
stacker = { version= "0.2", path="./stacker", package ="tantivy-stacker" }
|
||||
query-grammar = { version= "0.21.0", path="./query-grammar", package = "tantivy-query-grammar" }
|
||||
tantivy-bitpacker = { version= "0.5", path="./bitpacker" }
|
||||
common = { version= "0.6", path = "./common/", package = "tantivy-common" }
|
||||
tokenizer-api = { version= "0.2", path="./tokenizer-api", package="tantivy-tokenizer-api" }
|
||||
columnar = { version= "0.3", path="./columnar", package ="tantivy-columnar" }
|
||||
sstable = { version= "0.3", path="./sstable", package ="tantivy-sstable", optional = true }
|
||||
stacker = { version= "0.3", path="./stacker", package ="tantivy-stacker" }
|
||||
query-grammar = { version= "0.22.0", path="./query-grammar", package = "tantivy-query-grammar" }
|
||||
tantivy-bitpacker = { version= "0.6", path="./bitpacker" }
|
||||
common = { version= "0.7", path = "./common/", package = "tantivy-common" }
|
||||
tokenizer-api = { version= "0.3", path="./tokenizer-api", package="tantivy-tokenizer-api" }
|
||||
sketches-ddsketch = { version = "0.2.1", features = ["use_serde"] }
|
||||
futures-util = { version = "0.3.28", optional = true }
|
||||
fnv = "1.0.7"
|
||||
@@ -78,6 +78,9 @@ paste = "1.0.11"
|
||||
more-asserts = "0.3.1"
|
||||
rand_distr = "0.4.3"
|
||||
time = { version = "0.3.10", features = ["serde-well-known", "macros"] }
|
||||
postcard = { version = "1.0.4", features = [
|
||||
"use-std",
|
||||
], default-features = false }
|
||||
|
||||
[target.'cfg(not(windows))'.dev-dependencies]
|
||||
criterion = { version = "0.5", default-features = false }
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy-bitpacker"
|
||||
version = "0.5.0"
|
||||
version = "0.6.0"
|
||||
edition = "2021"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use std::convert::TryInto;
|
||||
use std::io;
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
|
||||
|
||||
83
cliff.toml
83
cliff.toml
@@ -1,6 +1,10 @@
|
||||
# configuration file for git-cliff{ pattern = "foo", replace = "bar"}
|
||||
# see https://github.com/orhun/git-cliff#configuration-file
|
||||
|
||||
[remote.github]
|
||||
owner = "quickwit-oss"
|
||||
repo = "tantivy"
|
||||
|
||||
[changelog]
|
||||
# changelog header
|
||||
header = """
|
||||
@@ -8,15 +12,43 @@ header = """
|
||||
# template for the changelog body
|
||||
# https://tera.netlify.app/docs/#introduction
|
||||
body = """
|
||||
{% if version %}\
|
||||
{{ version | trim_start_matches(pat="v") }} ({{ timestamp | date(format="%Y-%m-%d") }})
|
||||
==================
|
||||
{% else %}\
|
||||
## [unreleased]
|
||||
{% endif %}\
|
||||
## What's Changed
|
||||
|
||||
{%- if version %} in {{ version }}{%- endif -%}
|
||||
{% for commit in commits %}
|
||||
- {% if commit.breaking %}[**breaking**] {% endif %}{{ commit.message | split(pat="\n") | first | trim | upper_first }}(@{{ commit.author.name }})\
|
||||
{% endfor %}
|
||||
{% if commit.github.pr_title -%}
|
||||
{%- set commit_message = commit.github.pr_title -%}
|
||||
{%- else -%}
|
||||
{%- set commit_message = commit.message -%}
|
||||
{%- endif -%}
|
||||
- {{ commit_message | split(pat="\n") | first | trim }}\
|
||||
{% if commit.github.pr_number %} \
|
||||
[#{{ commit.github.pr_number }}]({{ self::remote_url() }}/pull/{{ commit.github.pr_number }}){% if commit.github.username %}(@{{ commit.github.username }}){%- endif -%} \
|
||||
{%- endif %}
|
||||
{%- endfor -%}
|
||||
|
||||
{% if github.contributors | filter(attribute="is_first_time", value=true) | length != 0 %}
|
||||
{% raw %}\n{% endraw -%}
|
||||
## New Contributors
|
||||
{%- endif %}\
|
||||
{% for contributor in github.contributors | filter(attribute="is_first_time", value=true) %}
|
||||
* @{{ contributor.username }} made their first contribution
|
||||
{%- if contributor.pr_number %} in \
|
||||
[#{{ contributor.pr_number }}]({{ self::remote_url() }}/pull/{{ contributor.pr_number }}) \
|
||||
{%- endif %}
|
||||
{%- endfor -%}
|
||||
|
||||
{% if version %}
|
||||
{% if previous.version %}
|
||||
**Full Changelog**: {{ self::remote_url() }}/compare/{{ previous.version }}...{{ version }}
|
||||
{% endif %}
|
||||
{% else -%}
|
||||
{% raw %}\n{% endraw %}
|
||||
{% endif %}
|
||||
|
||||
{%- macro remote_url() -%}
|
||||
https://github.com/{{ remote.github.owner }}/{{ remote.github.repo }}
|
||||
{%- endmacro -%}
|
||||
"""
|
||||
# remove the leading and trailing whitespace from the template
|
||||
trim = true
|
||||
@@ -25,53 +57,24 @@ footer = """
|
||||
"""
|
||||
|
||||
postprocessors = [
|
||||
{ pattern = 'Paul Masurel', replace = "fulmicoton"}, # replace with github user
|
||||
{ pattern = 'PSeitz', replace = "PSeitz"}, # replace with github user
|
||||
{ pattern = 'Adam Reichold', replace = "adamreichold"}, # replace with github user
|
||||
{ pattern = 'trinity-1686a', replace = "trinity-1686a"}, # replace with github user
|
||||
{ pattern = 'Michael Kleen', replace = "mkleen"}, # replace with github user
|
||||
{ pattern = 'Adrien Guillo', replace = "guilload"}, # replace with github user
|
||||
{ pattern = 'François Massot', replace = "fmassot"}, # replace with github user
|
||||
{ pattern = 'Naveen Aiathurai', replace = "naveenann"}, # replace with github user
|
||||
{ pattern = '', replace = ""}, # replace with github user
|
||||
]
|
||||
|
||||
[git]
|
||||
# parse the commits based on https://www.conventionalcommits.org
|
||||
# This is required or commit.message contains the whole commit message and not just the title
|
||||
conventional_commits = true
|
||||
conventional_commits = false
|
||||
# filter out the commits that are not conventional
|
||||
filter_unconventional = false
|
||||
filter_unconventional = true
|
||||
# process each line of a commit as an individual commit
|
||||
split_commits = false
|
||||
# regex for preprocessing the commit messages
|
||||
commit_preprocessors = [
|
||||
{ pattern = '\((\w+\s)?#([0-9]+)\)', replace = "[#${2}](https://github.com/quickwit-oss/tantivy/issues/${2})"}, # replace issue numbers
|
||||
{ pattern = '\((\w+\s)?#([0-9]+)\)', replace = ""},
|
||||
]
|
||||
#link_parsers = [
|
||||
#{ pattern = "#(\\d+)", href = "https://github.com/quickwit-oss/tantivy/pulls/$1"},
|
||||
#]
|
||||
# regex for parsing and grouping commits
|
||||
commit_parsers = [
|
||||
{ message = "^feat", group = "Features"},
|
||||
{ message = "^fix", group = "Bug Fixes"},
|
||||
{ message = "^doc", group = "Documentation"},
|
||||
{ message = "^perf", group = "Performance"},
|
||||
{ message = "^refactor", group = "Refactor"},
|
||||
{ message = "^style", group = "Styling"},
|
||||
{ message = "^test", group = "Testing"},
|
||||
{ message = "^chore\\(release\\): prepare for", skip = true},
|
||||
{ message = "(?i)clippy", skip = true},
|
||||
{ message = "(?i)dependabot", skip = true},
|
||||
{ message = "(?i)fmt", skip = true},
|
||||
{ message = "(?i)bump", skip = true},
|
||||
{ message = "(?i)readme", skip = true},
|
||||
{ message = "(?i)comment", skip = true},
|
||||
{ message = "(?i)spelling", skip = true},
|
||||
{ message = "^chore", group = "Miscellaneous Tasks"},
|
||||
{ body = ".*security", group = "Security"},
|
||||
{ message = ".*", group = "Other", default_scope = "other"},
|
||||
]
|
||||
# protect breaking changes from being skipped due to matching a skipping commit_parser
|
||||
protect_breaking_commits = false
|
||||
# filter out the commits that are not matched by commit parsers
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy-columnar"
|
||||
version = "0.2.0"
|
||||
version = "0.3.0"
|
||||
edition = "2021"
|
||||
license = "MIT"
|
||||
homepage = "https://github.com/quickwit-oss/tantivy"
|
||||
@@ -12,11 +12,12 @@ categories = ["database-implementations", "data-structures", "compression"]
|
||||
itertools = "0.12.0"
|
||||
fastdivide = "0.4.0"
|
||||
|
||||
stacker = { version= "0.2", path = "../stacker", package="tantivy-stacker"}
|
||||
sstable = { version= "0.2", path = "../sstable", package = "tantivy-sstable" }
|
||||
common = { version= "0.6", path = "../common", package = "tantivy-common" }
|
||||
tantivy-bitpacker = { version= "0.5", path = "../bitpacker/" }
|
||||
stacker = { version= "0.3", path = "../stacker", package="tantivy-stacker"}
|
||||
sstable = { version= "0.3", path = "../sstable", package = "tantivy-sstable" }
|
||||
common = { version= "0.7", path = "../common", package = "tantivy-common" }
|
||||
tantivy-bitpacker = { version= "0.6", path = "../bitpacker/" }
|
||||
serde = "1.0.152"
|
||||
downcast-rs = "1.2.0"
|
||||
|
||||
[dev-dependencies]
|
||||
proptest = "1"
|
||||
|
||||
155
columnar/benches/bench_first_vals.rs
Normal file
155
columnar/benches/bench_first_vals.rs
Normal file
@@ -0,0 +1,155 @@
|
||||
#![feature(test)]
|
||||
extern crate test;
|
||||
|
||||
use std::sync::Arc;
|
||||
|
||||
use rand::prelude::*;
|
||||
use tantivy_columnar::column_values::{serialize_and_load_u64_based_column_values, CodecType};
|
||||
use tantivy_columnar::*;
|
||||
use test::{black_box, Bencher};
|
||||
|
||||
struct Columns {
|
||||
pub optional: Column,
|
||||
pub full: Column,
|
||||
pub multi: Column,
|
||||
}
|
||||
|
||||
fn get_test_columns() -> Columns {
|
||||
let data = generate_permutation();
|
||||
let mut dataframe_writer = ColumnarWriter::default();
|
||||
for (idx, val) in data.iter().enumerate() {
|
||||
dataframe_writer.record_numerical(idx as u32, "full_values", NumericalValue::U64(*val));
|
||||
if idx % 2 == 0 {
|
||||
dataframe_writer.record_numerical(
|
||||
idx as u32,
|
||||
"optional_values",
|
||||
NumericalValue::U64(*val),
|
||||
);
|
||||
}
|
||||
dataframe_writer.record_numerical(idx as u32, "multi_values", NumericalValue::U64(*val));
|
||||
dataframe_writer.record_numerical(idx as u32, "multi_values", NumericalValue::U64(*val));
|
||||
}
|
||||
let mut buffer: Vec<u8> = Vec::new();
|
||||
dataframe_writer
|
||||
.serialize(data.len() as u32, None, &mut buffer)
|
||||
.unwrap();
|
||||
let columnar = ColumnarReader::open(buffer).unwrap();
|
||||
|
||||
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("optional_values").unwrap();
|
||||
assert_eq!(cols.len(), 1);
|
||||
let optional = cols[0].open_u64_lenient().unwrap().unwrap();
|
||||
assert_eq!(optional.index.get_cardinality(), Cardinality::Optional);
|
||||
|
||||
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("full_values").unwrap();
|
||||
assert_eq!(cols.len(), 1);
|
||||
let column_full = cols[0].open_u64_lenient().unwrap().unwrap();
|
||||
assert_eq!(column_full.index.get_cardinality(), Cardinality::Full);
|
||||
|
||||
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("multi_values").unwrap();
|
||||
assert_eq!(cols.len(), 1);
|
||||
let multi = cols[0].open_u64_lenient().unwrap().unwrap();
|
||||
assert_eq!(multi.index.get_cardinality(), Cardinality::Multivalued);
|
||||
|
||||
Columns {
|
||||
optional,
|
||||
full: column_full,
|
||||
multi,
|
||||
}
|
||||
}
|
||||
|
||||
const NUM_VALUES: u64 = 100_000;
|
||||
fn generate_permutation() -> Vec<u64> {
|
||||
let mut permutation: Vec<u64> = (0u64..NUM_VALUES).collect();
|
||||
permutation.shuffle(&mut StdRng::from_seed([1u8; 32]));
|
||||
permutation
|
||||
}
|
||||
|
||||
pub fn serialize_and_load(column: &[u64], codec_type: CodecType) -> Arc<dyn ColumnValues<u64>> {
|
||||
serialize_and_load_u64_based_column_values(&column, &[codec_type])
|
||||
}
|
||||
|
||||
fn run_bench_on_column_full_scan(b: &mut Bencher, column: Column) {
|
||||
let num_iter = black_box(NUM_VALUES);
|
||||
b.iter(|| {
|
||||
let mut sum = 0u64;
|
||||
for i in 0..num_iter as u32 {
|
||||
let val = column.first(i);
|
||||
sum += val.unwrap_or(0);
|
||||
}
|
||||
sum
|
||||
});
|
||||
}
|
||||
fn run_bench_on_column_block_fetch(b: &mut Bencher, column: Column) {
|
||||
let mut block: Vec<Option<u64>> = vec![None; 64];
|
||||
let fetch_docids = (0..64).collect::<Vec<_>>();
|
||||
b.iter(move || {
|
||||
column.first_vals(&fetch_docids, &mut block);
|
||||
block[0]
|
||||
});
|
||||
}
|
||||
fn run_bench_on_column_block_single_calls(b: &mut Bencher, column: Column) {
|
||||
let mut block: Vec<Option<u64>> = vec![None; 64];
|
||||
let fetch_docids = (0..64).collect::<Vec<_>>();
|
||||
b.iter(move || {
|
||||
for i in 0..fetch_docids.len() {
|
||||
block[i] = column.first(fetch_docids[i]);
|
||||
}
|
||||
block[0]
|
||||
});
|
||||
}
|
||||
|
||||
/// Column first method
|
||||
#[bench]
|
||||
fn bench_get_first_on_full_column_full_scan(b: &mut Bencher) {
|
||||
let column = get_test_columns().full;
|
||||
run_bench_on_column_full_scan(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_first_on_optional_column_full_scan(b: &mut Bencher) {
|
||||
let column = get_test_columns().optional;
|
||||
run_bench_on_column_full_scan(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_first_on_multi_column_full_scan(b: &mut Bencher) {
|
||||
let column = get_test_columns().multi;
|
||||
run_bench_on_column_full_scan(b, column);
|
||||
}
|
||||
|
||||
/// Block fetch column accessor
|
||||
#[bench]
|
||||
fn bench_get_block_first_on_optional_column(b: &mut Bencher) {
|
||||
let column = get_test_columns().optional;
|
||||
run_bench_on_column_block_fetch(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_block_first_on_multi_column(b: &mut Bencher) {
|
||||
let column = get_test_columns().multi;
|
||||
run_bench_on_column_block_fetch(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_block_first_on_full_column(b: &mut Bencher) {
|
||||
let column = get_test_columns().full;
|
||||
run_bench_on_column_block_fetch(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_block_first_on_optional_column_single_calls(b: &mut Bencher) {
|
||||
let column = get_test_columns().optional;
|
||||
run_bench_on_column_block_single_calls(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_block_first_on_multi_column_single_calls(b: &mut Bencher) {
|
||||
let column = get_test_columns().multi;
|
||||
run_bench_on_column_block_single_calls(b, column);
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_get_block_first_on_full_column_single_calls(b: &mut Bencher) {
|
||||
let column = get_test_columns().full;
|
||||
run_bench_on_column_block_single_calls(b, column);
|
||||
}
|
||||
@@ -16,14 +16,6 @@ fn generate_permutation() -> Vec<u64> {
|
||||
permutation
|
||||
}
|
||||
|
||||
fn generate_random() -> Vec<u64> {
|
||||
let mut permutation: Vec<u64> = (0u64..100_000u64)
|
||||
.map(|el| el + random::<u16>() as u64)
|
||||
.collect();
|
||||
permutation.shuffle(&mut StdRng::from_seed([1u8; 32]));
|
||||
permutation
|
||||
}
|
||||
|
||||
// Warning: this generates the same permutation at each call
|
||||
fn generate_permutation_gcd() -> Vec<u64> {
|
||||
let mut permutation: Vec<u64> = (1u64..100_000u64).map(|el| el * 1000).collect();
|
||||
@@ -14,20 +14,32 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
|
||||
ColumnBlockAccessor<T>
|
||||
{
|
||||
#[inline]
|
||||
pub fn fetch_block(&mut self, docs: &[u32], accessor: &Column<T>) {
|
||||
self.docid_cache.clear();
|
||||
self.row_id_cache.clear();
|
||||
accessor.row_ids_for_docs(docs, &mut self.docid_cache, &mut self.row_id_cache);
|
||||
self.val_cache.resize(self.row_id_cache.len(), T::default());
|
||||
accessor
|
||||
.values
|
||||
.get_vals(&self.row_id_cache, &mut self.val_cache);
|
||||
pub fn fetch_block<'a>(&'a mut self, docs: &'a [u32], accessor: &Column<T>) {
|
||||
if accessor.index.get_cardinality().is_full() {
|
||||
self.val_cache.resize(docs.len(), T::default());
|
||||
accessor.values.get_vals(docs, &mut self.val_cache);
|
||||
} else {
|
||||
self.docid_cache.clear();
|
||||
self.row_id_cache.clear();
|
||||
accessor.row_ids_for_docs(docs, &mut self.docid_cache, &mut self.row_id_cache);
|
||||
self.val_cache.resize(self.row_id_cache.len(), T::default());
|
||||
accessor
|
||||
.values
|
||||
.get_vals(&self.row_id_cache, &mut self.val_cache);
|
||||
}
|
||||
}
|
||||
#[inline]
|
||||
pub fn fetch_block_with_missing(&mut self, docs: &[u32], accessor: &Column<T>, missing: T) {
|
||||
self.fetch_block(docs, accessor);
|
||||
// We can compare docid_cache with docs to find missing docs
|
||||
if docs.len() != self.docid_cache.len() || accessor.index.is_multivalue() {
|
||||
// no missing values
|
||||
if accessor.index.get_cardinality().is_full() {
|
||||
return;
|
||||
}
|
||||
|
||||
// We can compare docid_cache length with docs to find missing docs
|
||||
// For multi value columns we can't rely on the length and always need to scan
|
||||
if accessor.index.get_cardinality().is_multivalue() || docs.len() != self.docid_cache.len()
|
||||
{
|
||||
self.missing_docids_cache.clear();
|
||||
find_missing_docs(docs, &self.docid_cache, |doc| {
|
||||
self.missing_docids_cache.push(doc);
|
||||
@@ -44,11 +56,25 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub fn iter_docid_vals(&self) -> impl Iterator<Item = (DocId, T)> + '_ {
|
||||
self.docid_cache
|
||||
.iter()
|
||||
.cloned()
|
||||
.zip(self.val_cache.iter().cloned())
|
||||
/// Returns an iterator over the docids and values
|
||||
/// The passed in `docs` slice needs to be the same slice that was passed to `fetch_block` or
|
||||
/// `fetch_block_with_missing`.
|
||||
///
|
||||
/// The docs is used if the column is full (each docs has exactly one value), otherwise the
|
||||
/// internal docid vec is used for the iterator, which e.g. may contain duplicate docs.
|
||||
pub fn iter_docid_vals<'a>(
|
||||
&'a self,
|
||||
docs: &'a [u32],
|
||||
accessor: &Column<T>,
|
||||
) -> impl Iterator<Item = (DocId, T)> + '_ {
|
||||
if accessor.index.get_cardinality().is_full() {
|
||||
docs.iter().cloned().zip(self.val_cache.iter().cloned())
|
||||
} else {
|
||||
self.docid_cache
|
||||
.iter()
|
||||
.cloned()
|
||||
.zip(self.val_cache.iter().cloned())
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -3,17 +3,17 @@ mod serialize;
|
||||
|
||||
use std::fmt::{self, Debug};
|
||||
use std::io::Write;
|
||||
use std::ops::{Deref, Range, RangeInclusive};
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
use std::sync::Arc;
|
||||
|
||||
use common::BinarySerializable;
|
||||
pub use dictionary_encoded::{BytesColumn, StrColumn};
|
||||
pub use serialize::{
|
||||
open_column_bytes, open_column_str, open_column_u128, open_column_u64,
|
||||
serialize_column_mappable_to_u128, serialize_column_mappable_to_u64,
|
||||
open_column_bytes, open_column_str, open_column_u128, open_column_u128_as_compact_u64,
|
||||
open_column_u64, serialize_column_mappable_to_u128, serialize_column_mappable_to_u64,
|
||||
};
|
||||
|
||||
use crate::column_index::ColumnIndex;
|
||||
use crate::column_index::{ColumnIndex, Set};
|
||||
use crate::column_values::monotonic_mapping::StrictlyMonotonicMappingToInternal;
|
||||
use crate::column_values::{monotonic_map_column, ColumnValues};
|
||||
use crate::{Cardinality, DocId, EmptyColumnValues, MonotonicallyMappableToU64, RowId};
|
||||
@@ -83,10 +83,36 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
|
||||
self.values.max_value()
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub fn first(&self, row_id: RowId) -> Option<T> {
|
||||
self.values_for_doc(row_id).next()
|
||||
}
|
||||
|
||||
/// Load the first value for each docid in the provided slice.
|
||||
#[inline]
|
||||
pub fn first_vals(&self, docids: &[DocId], output: &mut [Option<T>]) {
|
||||
match &self.index {
|
||||
ColumnIndex::Empty { .. } => {}
|
||||
ColumnIndex::Full => self.values.get_vals_opt(docids, output),
|
||||
ColumnIndex::Optional(optional_index) => {
|
||||
for (i, docid) in docids.iter().enumerate() {
|
||||
output[i] = optional_index
|
||||
.rank_if_exists(*docid)
|
||||
.map(|rowid| self.values.get_val(rowid));
|
||||
}
|
||||
}
|
||||
ColumnIndex::Multivalued(multivalued_index) => {
|
||||
for (i, docid) in docids.iter().enumerate() {
|
||||
let range = multivalued_index.range(*docid);
|
||||
let is_empty = range.start == range.end;
|
||||
if !is_empty {
|
||||
output[i] = Some(self.values.get_val(range.start));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Translates a block of docis to row_ids.
|
||||
///
|
||||
/// returns the row_ids and the matching docids on the same index
|
||||
@@ -105,7 +131,8 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
|
||||
}
|
||||
|
||||
pub fn values_for_doc(&self, doc_id: DocId) -> impl Iterator<Item = T> + '_ {
|
||||
self.value_row_ids(doc_id)
|
||||
self.index
|
||||
.value_row_ids(doc_id)
|
||||
.map(|value_row_id: RowId| self.values.get_val(value_row_id))
|
||||
}
|
||||
|
||||
@@ -147,14 +174,6 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
|
||||
}
|
||||
}
|
||||
|
||||
impl<T> Deref for Column<T> {
|
||||
type Target = ColumnIndex;
|
||||
|
||||
fn deref(&self) -> &Self::Target {
|
||||
&self.index
|
||||
}
|
||||
}
|
||||
|
||||
impl BinarySerializable for Cardinality {
|
||||
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> std::io::Result<()> {
|
||||
self.to_code().serialize(writer)
|
||||
@@ -176,6 +195,7 @@ struct FirstValueWithDefault<T: Copy> {
|
||||
impl<T: PartialOrd + Debug + Send + Sync + Copy + 'static> ColumnValues<T>
|
||||
for FirstValueWithDefault<T>
|
||||
{
|
||||
#[inline(always)]
|
||||
fn get_val(&self, idx: u32) -> T {
|
||||
self.column.first(idx).unwrap_or(self.default_value)
|
||||
}
|
||||
|
||||
@@ -76,6 +76,26 @@ pub fn open_column_u128<T: MonotonicallyMappableToU128>(
|
||||
})
|
||||
}
|
||||
|
||||
/// Open the column as u64.
|
||||
///
|
||||
/// See [`open_u128_as_compact_u64`] for more details.
|
||||
pub fn open_column_u128_as_compact_u64(bytes: OwnedBytes) -> io::Result<Column<u64>> {
|
||||
let (body, column_index_num_bytes_payload) = bytes.rsplit(4);
|
||||
let column_index_num_bytes = u32::from_le_bytes(
|
||||
column_index_num_bytes_payload
|
||||
.as_slice()
|
||||
.try_into()
|
||||
.unwrap(),
|
||||
);
|
||||
let (column_index_data, column_values_data) = body.split(column_index_num_bytes as usize);
|
||||
let column_index = crate::column_index::open_column_index(column_index_data)?;
|
||||
let column_values = crate::column_values::open_u128_as_compact_u64(column_values_data)?;
|
||||
Ok(Column {
|
||||
index: column_index,
|
||||
values: column_values,
|
||||
})
|
||||
}
|
||||
|
||||
pub fn open_column_bytes(data: OwnedBytes) -> io::Result<BytesColumn> {
|
||||
let (body, dictionary_len_bytes) = data.rsplit(4);
|
||||
let dictionary_len = u32::from_le_bytes(dictionary_len_bytes.as_slice().try_into().unwrap());
|
||||
|
||||
@@ -140,7 +140,7 @@ mod tests {
|
||||
#[test]
|
||||
fn test_merge_column_index_optional_shuffle() {
|
||||
let optional_index: ColumnIndex = OptionalIndex::for_test(2, &[0]).into();
|
||||
let column_indexes = vec![optional_index, ColumnIndex::Full];
|
||||
let column_indexes = [optional_index, ColumnIndex::Full];
|
||||
let row_addrs = vec![
|
||||
RowAddr {
|
||||
segment_ord: 0u32,
|
||||
|
||||
@@ -42,10 +42,6 @@ impl From<MultiValueIndex> for ColumnIndex {
|
||||
}
|
||||
|
||||
impl ColumnIndex {
|
||||
#[inline]
|
||||
pub fn is_multivalue(&self) -> bool {
|
||||
matches!(self, ColumnIndex::Multivalued(_))
|
||||
}
|
||||
/// Returns the cardinality of the column index.
|
||||
///
|
||||
/// By convention, if the column contains no docs, we consider that it is
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use std::convert::TryInto;
|
||||
use std::io::{self, Write};
|
||||
|
||||
use common::BinarySerializable;
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
use proptest::prelude::{any, prop, *};
|
||||
use proptest::strategy::Strategy;
|
||||
use proptest::prelude::*;
|
||||
use proptest::{prop_oneof, proptest};
|
||||
|
||||
use super::*;
|
||||
|
||||
@@ -10,7 +10,7 @@ pub(crate) struct MergedColumnValues<'a, T> {
|
||||
pub(crate) merge_row_order: &'a MergeRowOrder,
|
||||
}
|
||||
|
||||
impl<'a, T: Copy + PartialOrd + Debug> Iterable<T> for MergedColumnValues<'a, T> {
|
||||
impl<'a, T: Copy + PartialOrd + Debug + 'static> Iterable<T> for MergedColumnValues<'a, T> {
|
||||
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
|
||||
match self.merge_row_order {
|
||||
MergeRowOrder::Stack(_) => Box::new(
|
||||
|
||||
@@ -10,6 +10,7 @@ use std::fmt::Debug;
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
use std::sync::Arc;
|
||||
|
||||
use downcast_rs::DowncastSync;
|
||||
pub use monotonic_mapping::{MonotonicallyMappableToU64, StrictlyMonotonicFn};
|
||||
pub use monotonic_mapping_u128::MonotonicallyMappableToU128;
|
||||
|
||||
@@ -25,7 +26,10 @@ mod monotonic_column;
|
||||
|
||||
pub(crate) use merge::MergedColumnValues;
|
||||
pub use stats::ColumnStats;
|
||||
pub use u128_based::{open_u128_mapped, serialize_column_values_u128};
|
||||
pub use u128_based::{
|
||||
open_u128_as_compact_u64, open_u128_mapped, serialize_column_values_u128,
|
||||
CompactSpaceU64Accessor,
|
||||
};
|
||||
pub use u64_based::{
|
||||
load_u64_based_column_values, serialize_and_load_u64_based_column_values,
|
||||
serialize_u64_based_column_values, CodecType, ALL_U64_CODEC_TYPES,
|
||||
@@ -41,7 +45,7 @@ use crate::RowId;
|
||||
///
|
||||
/// Any methods with a default and specialized implementation need to be called in the
|
||||
/// wrappers that implement the trait: Arc and MonotonicMappingColumn
|
||||
pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
|
||||
pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync + DowncastSync {
|
||||
/// Return the value associated with the given idx.
|
||||
///
|
||||
/// This accessor should return as fast as possible.
|
||||
@@ -68,11 +72,40 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
|
||||
out_x4[3] = self.get_val(idx_x4[3]);
|
||||
}
|
||||
|
||||
let step_size = 4;
|
||||
let cutoff = indexes.len() - indexes.len() % step_size;
|
||||
let out_and_idx_chunks = output
|
||||
.chunks_exact_mut(4)
|
||||
.into_remainder()
|
||||
.iter_mut()
|
||||
.zip(indexes.chunks_exact(4).remainder());
|
||||
for (out, idx) in out_and_idx_chunks {
|
||||
*out = self.get_val(*idx);
|
||||
}
|
||||
}
|
||||
|
||||
for idx in cutoff..indexes.len() {
|
||||
output[idx] = self.get_val(indexes[idx]);
|
||||
/// Allows to push down multiple fetch calls, to avoid dynamic dispatch overhead.
|
||||
/// The slightly weird `Option<T>` in output allows pushdown to full columns.
|
||||
///
|
||||
/// idx and output should have the same length
|
||||
///
|
||||
/// # Panics
|
||||
///
|
||||
/// May panic if `idx` is greater than the column length.
|
||||
fn get_vals_opt(&self, indexes: &[u32], output: &mut [Option<T>]) {
|
||||
assert!(indexes.len() == output.len());
|
||||
let out_and_idx_chunks = output.chunks_exact_mut(4).zip(indexes.chunks_exact(4));
|
||||
for (out_x4, idx_x4) in out_and_idx_chunks {
|
||||
out_x4[0] = Some(self.get_val(idx_x4[0]));
|
||||
out_x4[1] = Some(self.get_val(idx_x4[1]));
|
||||
out_x4[2] = Some(self.get_val(idx_x4[2]));
|
||||
out_x4[3] = Some(self.get_val(idx_x4[3]));
|
||||
}
|
||||
let out_and_idx_chunks = output
|
||||
.chunks_exact_mut(4)
|
||||
.into_remainder()
|
||||
.iter_mut()
|
||||
.zip(indexes.chunks_exact(4).remainder());
|
||||
for (out, idx) in out_and_idx_chunks {
|
||||
*out = Some(self.get_val(*idx));
|
||||
}
|
||||
}
|
||||
|
||||
@@ -139,6 +172,7 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
|
||||
Box::new((0..self.num_vals()).map(|idx| self.get_val(idx)))
|
||||
}
|
||||
}
|
||||
downcast_rs::impl_downcast!(sync ColumnValues<T> where T: PartialOrd);
|
||||
|
||||
/// Empty column of values.
|
||||
pub struct EmptyColumnValues;
|
||||
@@ -161,12 +195,17 @@ impl<T: PartialOrd + Default> ColumnValues<T> for EmptyColumnValues {
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: Copy + PartialOrd + Debug> ColumnValues<T> for Arc<dyn ColumnValues<T>> {
|
||||
impl<T: Copy + PartialOrd + Debug + 'static> ColumnValues<T> for Arc<dyn ColumnValues<T>> {
|
||||
#[inline(always)]
|
||||
fn get_val(&self, idx: u32) -> T {
|
||||
self.as_ref().get_val(idx)
|
||||
}
|
||||
|
||||
#[inline(always)]
|
||||
fn get_vals_opt(&self, indexes: &[u32], output: &mut [Option<T>]) {
|
||||
self.as_ref().get_vals_opt(indexes, output)
|
||||
}
|
||||
|
||||
#[inline(always)]
|
||||
fn min_value(&self) -> T {
|
||||
self.as_ref().min_value()
|
||||
|
||||
@@ -31,10 +31,10 @@ pub fn monotonic_map_column<C, T, Input, Output>(
|
||||
monotonic_mapping: T,
|
||||
) -> impl ColumnValues<Output>
|
||||
where
|
||||
C: ColumnValues<Input>,
|
||||
T: StrictlyMonotonicFn<Input, Output> + Send + Sync,
|
||||
Input: PartialOrd + Debug + Send + Sync + Clone,
|
||||
Output: PartialOrd + Debug + Send + Sync + Clone,
|
||||
C: ColumnValues<Input> + 'static,
|
||||
T: StrictlyMonotonicFn<Input, Output> + Send + Sync + 'static,
|
||||
Input: PartialOrd + Debug + Send + Sync + Clone + 'static,
|
||||
Output: PartialOrd + Debug + Send + Sync + Clone + 'static,
|
||||
{
|
||||
MonotonicMappingColumn {
|
||||
from_column,
|
||||
@@ -45,10 +45,10 @@ where
|
||||
|
||||
impl<C, T, Input, Output> ColumnValues<Output> for MonotonicMappingColumn<C, T, Input>
|
||||
where
|
||||
C: ColumnValues<Input>,
|
||||
T: StrictlyMonotonicFn<Input, Output> + Send + Sync,
|
||||
Input: PartialOrd + Send + Debug + Sync + Clone,
|
||||
Output: PartialOrd + Send + Debug + Sync + Clone,
|
||||
C: ColumnValues<Input> + 'static,
|
||||
T: StrictlyMonotonicFn<Input, Output> + Send + Sync + 'static,
|
||||
Input: PartialOrd + Send + Debug + Sync + Clone + 'static,
|
||||
Output: PartialOrd + Send + Debug + Sync + Clone + 'static,
|
||||
{
|
||||
#[inline(always)]
|
||||
fn get_val(&self, idx: u32) -> Output {
|
||||
@@ -107,7 +107,7 @@ mod tests {
|
||||
#[test]
|
||||
fn test_monotonic_mapping_iter() {
|
||||
let vals: Vec<u64> = (0..100u64).map(|el| el * 10).collect();
|
||||
let col = VecColumn::from(&vals);
|
||||
let col = VecColumn::from(vals);
|
||||
let mapped = monotonic_map_column(
|
||||
col,
|
||||
StrictlyMonotonicMappingInverter::from(StrictlyMonotonicMappingToInternal::<i64>::new()),
|
||||
|
||||
@@ -22,7 +22,7 @@ mod build_compact_space;
|
||||
|
||||
use build_compact_space::get_compact_space;
|
||||
use common::{BinarySerializable, CountingWriter, OwnedBytes, VInt, VIntU128};
|
||||
use tantivy_bitpacker::{self, BitPacker, BitUnpacker};
|
||||
use tantivy_bitpacker::{BitPacker, BitUnpacker};
|
||||
|
||||
use crate::column_values::ColumnValues;
|
||||
use crate::RowId;
|
||||
@@ -148,7 +148,7 @@ impl CompactSpace {
|
||||
.binary_search_by_key(&compact, |range_mapping| range_mapping.compact_start)
|
||||
// Correctness: Overflow. The first range starts at compact space 0, the error from
|
||||
// binary search can never be 0
|
||||
.map_or_else(|e| e - 1, |v| v);
|
||||
.unwrap_or_else(|e| e - 1);
|
||||
|
||||
let range_mapping = &self.ranges_mapping[pos];
|
||||
let diff = compact - range_mapping.compact_start;
|
||||
@@ -292,6 +292,63 @@ impl BinarySerializable for IPCodecParams {
|
||||
}
|
||||
}
|
||||
|
||||
/// Exposes the compact space compressed values as u64.
|
||||
///
|
||||
/// This allows faster access to the values, as u64 is faster to work with than u128.
|
||||
/// It also allows to handle u128 values like u64, via the `open_u64_lenient` as a uniform
|
||||
/// access interface.
|
||||
///
|
||||
/// When converting from the internal u64 to u128 `compact_to_u128` can be used.
|
||||
pub struct CompactSpaceU64Accessor(CompactSpaceDecompressor);
|
||||
impl CompactSpaceU64Accessor {
|
||||
pub(crate) fn open(data: OwnedBytes) -> io::Result<CompactSpaceU64Accessor> {
|
||||
let decompressor = CompactSpaceU64Accessor(CompactSpaceDecompressor::open(data)?);
|
||||
Ok(decompressor)
|
||||
}
|
||||
/// Convert a compact space value to u128
|
||||
pub fn compact_to_u128(&self, compact: u32) -> u128 {
|
||||
self.0.compact_to_u128(compact)
|
||||
}
|
||||
}
|
||||
|
||||
impl ColumnValues<u64> for CompactSpaceU64Accessor {
|
||||
#[inline]
|
||||
fn get_val(&self, doc: u32) -> u64 {
|
||||
let compact = self.0.get_compact(doc);
|
||||
compact as u64
|
||||
}
|
||||
|
||||
fn min_value(&self) -> u64 {
|
||||
self.0.u128_to_compact(self.0.min_value()).unwrap() as u64
|
||||
}
|
||||
|
||||
fn max_value(&self) -> u64 {
|
||||
self.0.u128_to_compact(self.0.max_value()).unwrap() as u64
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.0.params.num_vals
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
|
||||
Box::new(self.0.iter_compact().map(|el| el as u64))
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn get_row_ids_for_value_range(
|
||||
&self,
|
||||
value_range: RangeInclusive<u64>,
|
||||
position_range: Range<u32>,
|
||||
positions: &mut Vec<u32>,
|
||||
) {
|
||||
let value_range = self.0.compact_to_u128(*value_range.start() as u32)
|
||||
..=self.0.compact_to_u128(*value_range.end() as u32);
|
||||
self.0
|
||||
.get_row_ids_for_value_range(value_range, position_range, positions)
|
||||
}
|
||||
}
|
||||
|
||||
impl ColumnValues<u128> for CompactSpaceDecompressor {
|
||||
#[inline]
|
||||
fn get_val(&self, doc: u32) -> u128 {
|
||||
@@ -402,9 +459,14 @@ impl CompactSpaceDecompressor {
|
||||
.map(|compact| self.compact_to_u128(compact))
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub fn get_compact(&self, idx: u32) -> u32 {
|
||||
self.params.bit_unpacker.get(idx, &self.data) as u32
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub fn get(&self, idx: u32) -> u128 {
|
||||
let compact = self.params.bit_unpacker.get(idx, &self.data) as u32;
|
||||
let compact = self.get_compact(idx);
|
||||
self.compact_to_u128(compact)
|
||||
}
|
||||
|
||||
|
||||
@@ -6,7 +6,9 @@ use std::sync::Arc;
|
||||
mod compact_space;
|
||||
|
||||
use common::{BinarySerializable, OwnedBytes, VInt};
|
||||
use compact_space::{CompactSpaceCompressor, CompactSpaceDecompressor};
|
||||
pub use compact_space::{
|
||||
CompactSpaceCompressor, CompactSpaceDecompressor, CompactSpaceU64Accessor,
|
||||
};
|
||||
|
||||
use crate::column_values::monotonic_map_column;
|
||||
use crate::column_values::monotonic_mapping::{
|
||||
@@ -108,6 +110,23 @@ pub fn open_u128_mapped<T: MonotonicallyMappableToU128 + Debug>(
|
||||
StrictlyMonotonicMappingToInternal::<T>::new().into();
|
||||
Ok(Arc::new(monotonic_map_column(reader, inverted)))
|
||||
}
|
||||
|
||||
/// Returns the u64 representation of the u128 data.
|
||||
/// The internal representation of the data as u64 is useful for faster processing.
|
||||
///
|
||||
/// In order to convert to u128 back cast to `CompactSpaceU64Accessor` and call
|
||||
/// `compact_to_u128`.
|
||||
///
|
||||
/// # Notice
|
||||
/// In case there are new codecs added, check for usages of `CompactSpaceDecompressorU64` and
|
||||
/// also handle the new codecs.
|
||||
pub fn open_u128_as_compact_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn ColumnValues<u64>>> {
|
||||
let header = U128Header::deserialize(&mut bytes)?;
|
||||
assert_eq!(header.codec_type, U128FastFieldCodecType::CompactSpace);
|
||||
let reader = CompactSpaceU64Accessor::open(bytes)?;
|
||||
Ok(Arc::new(reader))
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
pub mod tests {
|
||||
use super::*;
|
||||
|
||||
@@ -63,7 +63,6 @@ impl ColumnValues for BitpackedReader {
|
||||
fn get_val(&self, doc: u32) -> u64 {
|
||||
self.stats.min_value + self.stats.gcd.get() * self.bit_unpacker.get(doc, &self.data)
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn min_value(&self) -> u64 {
|
||||
self.stats.min_value
|
||||
|
||||
@@ -63,7 +63,10 @@ impl BlockwiseLinearEstimator {
|
||||
if self.block.is_empty() {
|
||||
return;
|
||||
}
|
||||
let line = Line::train(&VecColumn::from(&self.block));
|
||||
let column = VecColumn::from(std::mem::take(&mut self.block));
|
||||
let line = Line::train(&column);
|
||||
self.block = column.into();
|
||||
|
||||
let mut max_value = 0u64;
|
||||
for (i, buffer_val) in self.block.iter().enumerate() {
|
||||
let interpolated_val = line.eval(i as u32);
|
||||
@@ -125,7 +128,7 @@ impl ColumnCodecEstimator for BlockwiseLinearEstimator {
|
||||
*buffer_val = gcd_divider.divide(*buffer_val - stats.min_value);
|
||||
}
|
||||
|
||||
let line = Line::train(&VecColumn::from(&buffer));
|
||||
let line = Line::train(&VecColumn::from(buffer.to_vec()));
|
||||
|
||||
assert!(!buffer.is_empty());
|
||||
|
||||
|
||||
@@ -184,7 +184,7 @@ mod tests {
|
||||
}
|
||||
|
||||
fn test_eval_max_err(ys: &[u64]) -> Option<u64> {
|
||||
let line = Line::train(&VecColumn::from(&ys));
|
||||
let line = Line::train(&VecColumn::from(ys.to_vec()));
|
||||
ys.iter()
|
||||
.enumerate()
|
||||
.map(|(x, y)| y.wrapping_sub(line.eval(x as u32)))
|
||||
|
||||
@@ -173,7 +173,9 @@ impl LinearCodecEstimator {
|
||||
fn collect_before_line_estimation(&mut self, value: u64) {
|
||||
self.block.push(value);
|
||||
if self.block.len() == LINE_ESTIMATION_BLOCK_LEN {
|
||||
let line = Line::train(&VecColumn::from(&self.block));
|
||||
let column = VecColumn::from(std::mem::take(&mut self.block));
|
||||
let line = Line::train(&column);
|
||||
self.block = column.into();
|
||||
let block = std::mem::take(&mut self.block);
|
||||
for val in block {
|
||||
self.collect_after_line_estimation(&line, val);
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
use proptest::prelude::*;
|
||||
use proptest::strategy::Strategy;
|
||||
use proptest::{prop_oneof, proptest};
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -4,14 +4,14 @@ use tantivy_bitpacker::minmax;
|
||||
|
||||
use crate::ColumnValues;
|
||||
|
||||
/// VecColumn provides `Column` over a slice.
|
||||
pub struct VecColumn<'a, T = u64> {
|
||||
pub(crate) values: &'a [T],
|
||||
/// VecColumn provides `Column` over a `Vec<T>`.
|
||||
pub struct VecColumn<T = u64> {
|
||||
pub(crate) values: Vec<T>,
|
||||
pub(crate) min_value: T,
|
||||
pub(crate) max_value: T,
|
||||
}
|
||||
|
||||
impl<'a, T: Copy + PartialOrd + Send + Sync + Debug> ColumnValues<T> for VecColumn<'a, T> {
|
||||
impl<T: Copy + PartialOrd + Send + Sync + Debug + 'static> ColumnValues<T> for VecColumn<T> {
|
||||
fn get_val(&self, position: u32) -> T {
|
||||
self.values[position as usize]
|
||||
}
|
||||
@@ -37,11 +37,8 @@ impl<'a, T: Copy + PartialOrd + Send + Sync + Debug> ColumnValues<T> for VecColu
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, T: Copy + PartialOrd + Default, V> From<&'a V> for VecColumn<'a, T>
|
||||
where V: AsRef<[T]> + ?Sized
|
||||
{
|
||||
fn from(values: &'a V) -> Self {
|
||||
let values = values.as_ref();
|
||||
impl<T: Copy + PartialOrd + Default> From<Vec<T>> for VecColumn<T> {
|
||||
fn from(values: Vec<T>) -> Self {
|
||||
let (min_value, max_value) = minmax(values.iter().copied()).unwrap_or_default();
|
||||
Self {
|
||||
values,
|
||||
@@ -50,3 +47,8 @@ where V: AsRef<[T]> + ?Sized
|
||||
}
|
||||
}
|
||||
}
|
||||
impl From<VecColumn> for Vec<u64> {
|
||||
fn from(column: VecColumn) -> Self {
|
||||
column.values
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,3 @@
|
||||
use std::collections::BTreeMap;
|
||||
|
||||
use itertools::Itertools;
|
||||
|
||||
use super::*;
|
||||
use crate::{Cardinality, ColumnarWriter, HasAssociatedColumnType, RowId};
|
||||
|
||||
|
||||
@@ -13,9 +13,7 @@ pub(crate) use serializer::ColumnarSerializer;
|
||||
use stacker::{Addr, ArenaHashMap, MemoryArena};
|
||||
|
||||
use crate::column_index::SerializableColumnIndex;
|
||||
use crate::column_values::{
|
||||
ColumnValues, MonotonicallyMappableToU128, MonotonicallyMappableToU64, VecColumn,
|
||||
};
|
||||
use crate::column_values::{MonotonicallyMappableToU128, MonotonicallyMappableToU64};
|
||||
use crate::columnar::column_type::ColumnType;
|
||||
use crate::columnar::writer::column_writers::{
|
||||
ColumnWriter, NumericalColumnWriter, StrOrBytesColumnWriter,
|
||||
@@ -645,10 +643,7 @@ fn send_to_serialize_column_mappable_to_u128<
|
||||
value_index_builders: &mut PreallocatedIndexBuilders,
|
||||
values: &mut Vec<T>,
|
||||
mut wrt: impl io::Write,
|
||||
) -> io::Result<()>
|
||||
where
|
||||
for<'a> VecColumn<'a, T>: ColumnValues<T>,
|
||||
{
|
||||
) -> io::Result<()> {
|
||||
values.clear();
|
||||
// TODO: split index and values
|
||||
let serializable_column_index = match cardinality {
|
||||
@@ -701,10 +696,7 @@ fn send_to_serialize_column_mappable_to_u64(
|
||||
value_index_builders: &mut PreallocatedIndexBuilders,
|
||||
values: &mut Vec<u64>,
|
||||
mut wrt: impl io::Write,
|
||||
) -> io::Result<()>
|
||||
where
|
||||
for<'a> VecColumn<'a, u64>: ColumnValues<u64>,
|
||||
{
|
||||
) -> io::Result<()> {
|
||||
values.clear();
|
||||
let serializable_column_index = match cardinality {
|
||||
Cardinality::Full => {
|
||||
|
||||
@@ -18,7 +18,12 @@ pub struct ColumnarSerializer<W: io::Write> {
|
||||
/// code.
|
||||
fn prepare_key(key: &[u8], column_type: ColumnType, buffer: &mut Vec<u8>) {
|
||||
buffer.clear();
|
||||
buffer.extend_from_slice(key);
|
||||
// Convert 0 bytes to '0' string, as 0 bytes are reserved for the end of the path.
|
||||
if key.contains(&0u8) {
|
||||
buffer.extend(key.iter().map(|&b| if b == 0 { b'0' } else { b }));
|
||||
} else {
|
||||
buffer.extend_from_slice(key);
|
||||
}
|
||||
buffer.push(0u8);
|
||||
buffer.push(column_type.to_code());
|
||||
}
|
||||
@@ -96,14 +101,13 @@ impl<'a, W: io::Write> io::Write for ColumnSerializer<'a, W> {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::columnar::column_type::ColumnType;
|
||||
|
||||
#[test]
|
||||
fn test_prepare_key_bytes() {
|
||||
let mut buffer: Vec<u8> = b"somegarbage".to_vec();
|
||||
prepare_key(b"root\0child", ColumnType::Str, &mut buffer);
|
||||
assert_eq!(buffer.len(), 12);
|
||||
assert_eq!(&buffer[..10], b"root\0child");
|
||||
assert_eq!(&buffer[..10], b"root0child");
|
||||
assert_eq!(buffer[10], 0u8);
|
||||
assert_eq!(buffer[11], ColumnType::Str.to_code());
|
||||
}
|
||||
|
||||
@@ -8,7 +8,7 @@ use common::{ByteCount, DateTime, HasLen, OwnedBytes};
|
||||
use crate::column::{BytesColumn, Column, StrColumn};
|
||||
use crate::column_values::{monotonic_map_column, StrictlyMonotonicFn};
|
||||
use crate::columnar::ColumnType;
|
||||
use crate::{Cardinality, ColumnIndex, NumericalType};
|
||||
use crate::{Cardinality, ColumnIndex, ColumnValues, NumericalType};
|
||||
|
||||
#[derive(Clone)]
|
||||
pub enum DynamicColumn {
|
||||
@@ -247,7 +247,12 @@ impl DynamicColumnHandle {
|
||||
}
|
||||
|
||||
/// Returns the `u64` fast field reader reader associated with `fields` of types
|
||||
/// Str, u64, i64, f64, bool, or datetime.
|
||||
/// Str, u64, i64, f64, bool, ip, or datetime.
|
||||
///
|
||||
/// Notice that for IpAddr, the fastfield reader will return the u64 representation of the
|
||||
/// IpAddr.
|
||||
/// In order to convert to u128 back cast to `CompactSpaceU64Accessor` and call
|
||||
/// `compact_to_u128`.
|
||||
///
|
||||
/// If not, the fastfield reader will returns the u64-value associated with the original
|
||||
/// FastValue.
|
||||
@@ -258,7 +263,10 @@ impl DynamicColumnHandle {
|
||||
let column: BytesColumn = crate::column::open_column_bytes(column_bytes)?;
|
||||
Ok(Some(column.term_ord_column))
|
||||
}
|
||||
ColumnType::IpAddr => Ok(None),
|
||||
ColumnType::IpAddr => {
|
||||
let column = crate::column::open_column_u128_as_compact_u64(column_bytes)?;
|
||||
Ok(Some(column))
|
||||
}
|
||||
ColumnType::Bool
|
||||
| ColumnType::I64
|
||||
| ColumnType::U64
|
||||
|
||||
@@ -113,6 +113,9 @@ impl Cardinality {
|
||||
pub fn is_multivalue(&self) -> bool {
|
||||
matches!(self, Cardinality::Multivalued)
|
||||
}
|
||||
pub fn is_full(&self) -> bool {
|
||||
matches!(self, Cardinality::Full)
|
||||
}
|
||||
pub(crate) fn to_code(self) -> u8 {
|
||||
self as u8
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy-common"
|
||||
version = "0.6.0"
|
||||
version = "0.7.0"
|
||||
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
|
||||
license = "MIT"
|
||||
edition = "2021"
|
||||
@@ -14,7 +14,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
|
||||
|
||||
[dependencies]
|
||||
byteorder = "1.4.3"
|
||||
ownedbytes = { version= "0.6", path="../ownedbytes" }
|
||||
ownedbytes = { version= "0.7", path="../ownedbytes" }
|
||||
async-trait = "0.1"
|
||||
time = { version = "0.3.10", features = ["serde-well-known"] }
|
||||
serde = { version = "1.0.136", features = ["derive"] }
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
use std::convert::TryInto;
|
||||
use std::io::Write;
|
||||
use std::{fmt, io, u64};
|
||||
use std::{fmt, io};
|
||||
|
||||
use ownedbytes::OwnedBytes;
|
||||
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
#![allow(deprecated)]
|
||||
|
||||
use std::fmt;
|
||||
use std::io::{Read, Write};
|
||||
|
||||
@@ -27,9 +25,6 @@ pub enum DateTimePrecision {
|
||||
Nanoseconds,
|
||||
}
|
||||
|
||||
#[deprecated(since = "0.20.0", note = "Use `DateTimePrecision` instead")]
|
||||
pub type DatePrecision = DateTimePrecision;
|
||||
|
||||
/// A date/time value with nanoseconds precision.
|
||||
///
|
||||
/// This timestamp does not carry any explicit time zone information.
|
||||
@@ -40,7 +35,7 @@ pub type DatePrecision = DateTimePrecision;
|
||||
/// All constructors and conversions are provided as explicit
|
||||
/// functions and not by implementing any `From`/`Into` traits
|
||||
/// to prevent unintended usage.
|
||||
#[derive(Clone, Default, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
|
||||
#[derive(Clone, Default, Copy, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
|
||||
pub struct DateTime {
|
||||
// Timestamp in nanoseconds.
|
||||
pub(crate) timestamp_nanos: i64,
|
||||
|
||||
@@ -5,6 +5,12 @@ pub const JSON_PATH_SEGMENT_SEP: u8 = 1u8;
|
||||
pub const JSON_PATH_SEGMENT_SEP_STR: &str =
|
||||
unsafe { std::str::from_utf8_unchecked(&[JSON_PATH_SEGMENT_SEP]) };
|
||||
|
||||
/// Separates the json path and the value in
|
||||
/// a JSON term binary representation.
|
||||
pub const JSON_END_OF_PATH: u8 = 0u8;
|
||||
pub const JSON_END_OF_PATH_STR: &str =
|
||||
unsafe { std::str::from_utf8_unchecked(&[JSON_END_OF_PATH]) };
|
||||
|
||||
/// Create a new JsonPathWriter, that creates flattened json paths for tantivy.
|
||||
#[derive(Clone, Debug, Default)]
|
||||
pub struct JsonPathWriter {
|
||||
@@ -14,6 +20,14 @@ pub struct JsonPathWriter {
|
||||
}
|
||||
|
||||
impl JsonPathWriter {
|
||||
pub fn with_expand_dots(expand_dots: bool) -> Self {
|
||||
JsonPathWriter {
|
||||
path: String::new(),
|
||||
indices: Vec::new(),
|
||||
expand_dots,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn new() -> Self {
|
||||
JsonPathWriter {
|
||||
path: String::new(),
|
||||
@@ -39,8 +53,8 @@ impl JsonPathWriter {
|
||||
pub fn push(&mut self, segment: &str) {
|
||||
let len_path = self.path.len();
|
||||
self.indices.push(len_path);
|
||||
if !self.path.is_empty() {
|
||||
self.path.push_str(JSON_PATH_SEGMENT_SEP_STR);
|
||||
if self.indices.len() > 1 {
|
||||
self.path.push(JSON_PATH_SEGMENT_SEP as char);
|
||||
}
|
||||
self.path.push_str(segment);
|
||||
if self.expand_dots {
|
||||
@@ -55,6 +69,12 @@ impl JsonPathWriter {
|
||||
}
|
||||
}
|
||||
|
||||
/// Set the end of JSON path marker.
|
||||
#[inline]
|
||||
pub fn set_end(&mut self) {
|
||||
self.path.push_str(JSON_END_OF_PATH_STR);
|
||||
}
|
||||
|
||||
/// Remove the last segment. Does nothing if the path is empty.
|
||||
#[inline]
|
||||
pub fn pop(&mut self) {
|
||||
@@ -91,6 +111,7 @@ mod tests {
|
||||
#[test]
|
||||
fn json_path_writer_test() {
|
||||
let mut writer = JsonPathWriter::new();
|
||||
writer.set_expand_dots(false);
|
||||
|
||||
writer.push("root");
|
||||
assert_eq!(writer.as_str(), "root");
|
||||
@@ -109,4 +130,15 @@ mod tests {
|
||||
writer.push("k8s.node.id");
|
||||
assert_eq!(writer.as_str(), "root\u{1}k8s\u{1}node\u{1}id");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_enabled_pop_segment() {
|
||||
let mut json_writer = JsonPathWriter::with_expand_dots(true);
|
||||
json_writer.push("hello");
|
||||
assert_eq!(json_writer.as_str(), "hello");
|
||||
json_writer.push("color.hue");
|
||||
assert_eq!(json_writer.as_str(), "hello\x01color\x01hue");
|
||||
json_writer.pop();
|
||||
assert_eq!(json_writer.as_str(), "hello");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,14 +9,12 @@ mod byte_count;
|
||||
mod datetime;
|
||||
pub mod file_slice;
|
||||
mod group_by;
|
||||
mod json_path_writer;
|
||||
pub mod json_path_writer;
|
||||
mod serialize;
|
||||
mod vint;
|
||||
mod writer;
|
||||
pub use bitset::*;
|
||||
pub use byte_count::ByteCount;
|
||||
#[allow(deprecated)]
|
||||
pub use datetime::DatePrecision;
|
||||
pub use datetime::{DateTime, DateTimePrecision};
|
||||
pub use group_by::GroupByIteratorExtended;
|
||||
pub use json_path_writer::JsonPathWriter;
|
||||
|
||||
@@ -290,8 +290,7 @@ impl<'a> BinarySerializable for Cow<'a, [u8]> {
|
||||
#[cfg(test)]
|
||||
pub mod test {
|
||||
|
||||
use super::{VInt, *};
|
||||
use crate::serialize::BinarySerializable;
|
||||
use super::*;
|
||||
pub fn fixed_size_test<O: BinarySerializable + FixedSize + Default>() {
|
||||
let mut buffer = Vec::new();
|
||||
O::default().serialize(&mut buffer).unwrap();
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
|
||||
name = "ownedbytes"
|
||||
version = "0.6.0"
|
||||
version = "0.7.0"
|
||||
edition = "2021"
|
||||
description = "Expose data as static slice"
|
||||
license = "MIT"
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use std::convert::TryInto;
|
||||
use std::ops::{Deref, Range};
|
||||
use std::sync::Arc;
|
||||
use std::{fmt, io};
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy-query-grammar"
|
||||
version = "0.21.0"
|
||||
version = "0.22.0"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
|
||||
@@ -218,27 +218,14 @@ fn term_or_phrase_infallible(inp: &str) -> JResult<&str, Option<UserInputLeaf>>
|
||||
}
|
||||
|
||||
fn term_group(inp: &str) -> IResult<&str, UserInputAst> {
|
||||
let occur_symbol = alt((
|
||||
value(Occur::MustNot, char('-')),
|
||||
value(Occur::Must, char('+')),
|
||||
));
|
||||
|
||||
map(
|
||||
tuple((
|
||||
terminated(field_name, multispace0),
|
||||
delimited(
|
||||
tuple((char('('), multispace0)),
|
||||
separated_list0(multispace1, tuple((opt(occur_symbol), term_or_phrase))),
|
||||
char(')'),
|
||||
),
|
||||
delimited(tuple((char('('), multispace0)), ast, char(')')),
|
||||
)),
|
||||
|(field_name, terms)| {
|
||||
UserInputAst::Clause(
|
||||
terms
|
||||
.into_iter()
|
||||
.map(|(occur, leaf)| (occur, leaf.set_field(Some(field_name.clone())).into()))
|
||||
.collect(),
|
||||
)
|
||||
|(field_name, mut ast)| {
|
||||
ast.set_default_field(field_name);
|
||||
ast
|
||||
},
|
||||
)(inp)
|
||||
}
|
||||
@@ -258,46 +245,18 @@ fn term_group_precond(inp: &str) -> IResult<&str, (), ()> {
|
||||
}
|
||||
|
||||
fn term_group_infallible(inp: &str) -> JResult<&str, UserInputAst> {
|
||||
let (mut inp, (field_name, _, _, _)) =
|
||||
let (inp, (field_name, _, _, _)) =
|
||||
tuple((field_name, multispace0, char('('), multispace0))(inp).expect("precondition failed");
|
||||
|
||||
let mut terms = Vec::new();
|
||||
let mut errs = Vec::new();
|
||||
|
||||
let mut first_round = true;
|
||||
loop {
|
||||
let mut space_error = if first_round {
|
||||
first_round = false;
|
||||
Vec::new()
|
||||
} else {
|
||||
let (rest, (_, err)) = space1_infallible(inp)?;
|
||||
inp = rest;
|
||||
err
|
||||
};
|
||||
if inp.is_empty() {
|
||||
errs.push(LenientErrorInternal {
|
||||
pos: inp.len(),
|
||||
message: "missing )".to_string(),
|
||||
});
|
||||
break Ok((inp, (UserInputAst::Clause(terms), errs)));
|
||||
}
|
||||
if let Some(inp) = inp.strip_prefix(')') {
|
||||
break Ok((inp, (UserInputAst::Clause(terms), errs)));
|
||||
}
|
||||
// only append missing space error if we did not reach the end of group
|
||||
errs.append(&mut space_error);
|
||||
|
||||
// here we do the assumption term_or_phrase_infallible always consume something if the
|
||||
// first byte is not `)` or ' '. If it did not, we would end up looping.
|
||||
|
||||
let (rest, ((occur, leaf), mut err)) =
|
||||
tuple_infallible((occur_symbol, term_or_phrase_infallible))(inp)?;
|
||||
errs.append(&mut err);
|
||||
if let Some(leaf) = leaf {
|
||||
terms.push((occur, leaf.set_field(Some(field_name.clone())).into()));
|
||||
}
|
||||
inp = rest;
|
||||
}
|
||||
let res = delimited_infallible(
|
||||
nothing,
|
||||
map(ast_infallible, |(mut ast, errors)| {
|
||||
ast.set_default_field(field_name.to_string());
|
||||
(ast, errors)
|
||||
}),
|
||||
opt_i_err(char(')'), "expected ')'"),
|
||||
)(inp);
|
||||
res
|
||||
}
|
||||
|
||||
fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
|
||||
@@ -1468,8 +1427,18 @@ mod test {
|
||||
|
||||
#[test]
|
||||
fn test_parse_query_term_group() {
|
||||
test_parse_query_to_ast_helper(r#"field:(abc)"#, r#"(*"field":abc)"#);
|
||||
test_parse_query_to_ast_helper(r#"field:(abc)"#, r#""field":abc"#);
|
||||
test_parse_query_to_ast_helper(r#"field:(+a -"b c")"#, r#"(+"field":a -"field":"b c")"#);
|
||||
test_parse_query_to_ast_helper(r#"field:(a AND "b c")"#, r#"(+"field":a +"field":"b c")"#);
|
||||
test_parse_query_to_ast_helper(r#"field:(a OR "b c")"#, r#"(?"field":a ?"field":"b c")"#);
|
||||
test_parse_query_to_ast_helper(
|
||||
r#"field:(a OR (b AND c))"#,
|
||||
r#"(?"field":a ?(+"field":b +"field":c))"#,
|
||||
);
|
||||
test_parse_query_to_ast_helper(
|
||||
r#"field:(a [b TO c])"#,
|
||||
r#"(*"field":a *"field":["b" TO "c"])"#,
|
||||
);
|
||||
|
||||
test_is_parse_err(r#"field:(+a -"b c""#, r#"(+"field":a -"field":"b c")"#);
|
||||
}
|
||||
|
||||
@@ -44,6 +44,26 @@ impl UserInputLeaf {
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn set_default_field(&mut self, default_field: String) {
|
||||
match self {
|
||||
UserInputLeaf::Literal(ref mut literal) if literal.field_name.is_none() => {
|
||||
literal.field_name = Some(default_field)
|
||||
}
|
||||
UserInputLeaf::All => {
|
||||
*self = UserInputLeaf::Exists {
|
||||
field: default_field,
|
||||
}
|
||||
}
|
||||
UserInputLeaf::Range { ref mut field, .. } if field.is_none() => {
|
||||
*field = Some(default_field)
|
||||
}
|
||||
UserInputLeaf::Set { ref mut field, .. } if field.is_none() => {
|
||||
*field = Some(default_field)
|
||||
}
|
||||
_ => (), // field was already set, do nothing
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Debug for UserInputLeaf {
|
||||
@@ -205,6 +225,16 @@ impl UserInputAst {
|
||||
pub fn or(asts: Vec<UserInputAst>) -> UserInputAst {
|
||||
UserInputAst::compose(Occur::Should, asts)
|
||||
}
|
||||
|
||||
pub(crate) fn set_default_field(&mut self, field: String) {
|
||||
match self {
|
||||
UserInputAst::Clause(clauses) => clauses
|
||||
.iter_mut()
|
||||
.for_each(|(_, ast)| ast.set_default_field(field.clone())),
|
||||
UserInputAst::Leaf(leaf) => leaf.set_default_field(field),
|
||||
UserInputAst::Boost(ref mut ast, _) => ast.set_default_field(field),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl From<UserInputLiteral> for UserInputLeaf {
|
||||
|
||||
@@ -170,8 +170,8 @@ impl AggregationWithAccessor {
|
||||
ColumnType::Str,
|
||||
ColumnType::DateTime,
|
||||
ColumnType::Bool,
|
||||
ColumnType::IpAddr,
|
||||
// ColumnType::Bytes Unsupported
|
||||
// ColumnType::IpAddr Unsupported
|
||||
];
|
||||
|
||||
// In case the column is empty we want the shim column to match the missing type
|
||||
@@ -292,7 +292,7 @@ impl AggregationWithAccessor {
|
||||
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?;
|
||||
}
|
||||
TopHits(ref mut top_hits) => {
|
||||
top_hits.validate_and_resolve(reader.fast_fields().columnar())?;
|
||||
top_hits.validate_and_resolve_field_names(reader.fast_fields().columnar())?;
|
||||
let accessors: Vec<(Column<u64>, ColumnType)> = top_hits
|
||||
.field_names()
|
||||
.iter()
|
||||
|
||||
@@ -4,6 +4,7 @@ use crate::aggregation::agg_req::{Aggregation, Aggregations};
|
||||
use crate::aggregation::agg_result::AggregationResults;
|
||||
use crate::aggregation::buf_collector::DOC_BLOCK_SIZE;
|
||||
use crate::aggregation::collector::AggregationCollector;
|
||||
use crate::aggregation::intermediate_agg_result::IntermediateAggregationResults;
|
||||
use crate::aggregation::segment_agg_result::AggregationLimits;
|
||||
use crate::aggregation::tests::{get_test_index_2_segments, get_test_index_from_values_and_terms};
|
||||
use crate::aggregation::DistributedAggregationCollector;
|
||||
@@ -66,6 +67,22 @@ fn test_aggregation_flushing(
|
||||
}
|
||||
}
|
||||
},
|
||||
"top_hits_test":{
|
||||
"terms": {
|
||||
"field": "string_id"
|
||||
},
|
||||
"aggs": {
|
||||
"bucketsL2": {
|
||||
"top_hits": {
|
||||
"size": 2,
|
||||
"sort": [
|
||||
{ "score": "asc" }
|
||||
],
|
||||
"docvalue_fields": ["score"]
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"histogram_test":{
|
||||
"histogram": {
|
||||
"field": "score",
|
||||
@@ -108,6 +125,16 @@ fn test_aggregation_flushing(
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let intermediate_agg_result = searcher.search(&AllQuery, &collector).unwrap();
|
||||
|
||||
// Test postcard roundtrip serialization
|
||||
let intermediate_agg_result_bytes = postcard::to_allocvec(&intermediate_agg_result).expect(
|
||||
"Postcard Serialization failed, flatten etc. is not supported in the intermediate \
|
||||
result",
|
||||
);
|
||||
let intermediate_agg_result: IntermediateAggregationResults =
|
||||
postcard::from_bytes(&intermediate_agg_result_bytes)
|
||||
.expect("Post deserialization failed");
|
||||
|
||||
intermediate_agg_result
|
||||
.into_final_result(agg_req, &Default::default())
|
||||
.unwrap()
|
||||
@@ -816,38 +843,38 @@ fn test_aggregation_on_json_object_mixed_types() {
|
||||
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
|
||||
// => Segment with all values numeric
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": 10.0})))
|
||||
.add_document(doc!(json => json!({"mixed_type": 10.0, "mixed_price": 10.0})))
|
||||
.unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
// => Segment with all values text
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": "blue"})))
|
||||
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": "blue"})))
|
||||
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": "blue"})))
|
||||
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
|
||||
.unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
// => Segment with all boolen
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": true})))
|
||||
.add_document(doc!(json => json!({"mixed_type": true, "mixed_price": "no_price"})))
|
||||
.unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
|
||||
// => Segment with mixed values
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": "red"})))
|
||||
.add_document(doc!(json => json!({"mixed_type": "red", "mixed_price": 1.0})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": "red"})))
|
||||
.add_document(doc!(json => json!({"mixed_type": "red", "mixed_price": 1.0})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": -20.5})))
|
||||
.add_document(doc!(json => json!({"mixed_type": -20.5, "mixed_price": -20.5})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(json => json!({"mixed_type": true})))
|
||||
.add_document(doc!(json => json!({"mixed_type": true, "mixed_price": "no_price"})))
|
||||
.unwrap();
|
||||
|
||||
index_writer.commit().unwrap();
|
||||
@@ -861,7 +888,7 @@ fn test_aggregation_on_json_object_mixed_types() {
|
||||
"order": { "min_price": "desc" }
|
||||
},
|
||||
"aggs": {
|
||||
"min_price": { "min": { "field": "json.mixed_type" } }
|
||||
"min_price": { "min": { "field": "json.mixed_price" } }
|
||||
}
|
||||
},
|
||||
"rangeagg": {
|
||||
@@ -885,7 +912,6 @@ fn test_aggregation_on_json_object_mixed_types() {
|
||||
|
||||
let aggregation_results = searcher.search(&AllQuery, &aggregation_collector).unwrap();
|
||||
let aggregation_res_json = serde_json::to_value(aggregation_results).unwrap();
|
||||
// pretty print as json
|
||||
use pretty_assertions::assert_eq;
|
||||
assert_eq!(
|
||||
&aggregation_res_json,
|
||||
@@ -901,10 +927,10 @@ fn test_aggregation_on_json_object_mixed_types() {
|
||||
"termagg": {
|
||||
"buckets": [
|
||||
{ "doc_count": 1, "key": 10.0, "min_price": { "value": 10.0 } },
|
||||
{ "doc_count": 3, "key": "blue", "min_price": { "value": 5.0 } },
|
||||
{ "doc_count": 2, "key": "red", "min_price": { "value": 1.0 } },
|
||||
{ "doc_count": 1, "key": -20.5, "min_price": { "value": -20.5 } },
|
||||
{ "doc_count": 2, "key": "red", "min_price": { "value": null } },
|
||||
{ "doc_count": 2, "key": 1.0, "key_as_string": "true", "min_price": { "value": null } },
|
||||
{ "doc_count": 3, "key": "blue", "min_price": { "value": null } },
|
||||
],
|
||||
"sum_other_doc_count": 0
|
||||
}
|
||||
|
||||
@@ -1,8 +1,5 @@
|
||||
use std::cmp::Ordering;
|
||||
use std::fmt::Display;
|
||||
|
||||
use columnar::ColumnType;
|
||||
use itertools::Itertools;
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use tantivy_bitpacker::minmax;
|
||||
@@ -18,7 +15,7 @@ use crate::aggregation::intermediate_agg_result::{
|
||||
IntermediateHistogramBucketEntry,
|
||||
};
|
||||
use crate::aggregation::segment_agg_result::{
|
||||
build_segment_agg_collector, AggregationLimits, SegmentAggregationCollector,
|
||||
build_segment_agg_collector, SegmentAggregationCollector,
|
||||
};
|
||||
use crate::aggregation::*;
|
||||
use crate::TantivyError;
|
||||
@@ -310,7 +307,10 @@ impl SegmentAggregationCollector for SegmentHistogramCollector {
|
||||
.column_block_accessor
|
||||
.fetch_block(docs, &bucket_agg_accessor.accessor);
|
||||
|
||||
for (doc, val) in bucket_agg_accessor.column_block_accessor.iter_docid_vals() {
|
||||
for (doc, val) in bucket_agg_accessor
|
||||
.column_block_accessor
|
||||
.iter_docid_vals(docs, &bucket_agg_accessor.accessor)
|
||||
{
|
||||
let val = self.f64_from_fastfield_u64(val);
|
||||
|
||||
let bucket_pos = get_bucket_pos(val);
|
||||
@@ -597,13 +597,11 @@ mod tests {
|
||||
use serde_json::Value;
|
||||
|
||||
use super::*;
|
||||
use crate::aggregation::agg_req::Aggregations;
|
||||
use crate::aggregation::agg_result::AggregationResults;
|
||||
use crate::aggregation::tests::{
|
||||
exec_request, exec_request_with_query, exec_request_with_query_and_memory_limit,
|
||||
get_test_index_2_segments, get_test_index_from_values, get_test_index_with_num_docs,
|
||||
};
|
||||
use crate::aggregation::AggregationCollector;
|
||||
use crate::query::AllQuery;
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -28,6 +28,7 @@ mod term_agg;
|
||||
mod term_missing_agg;
|
||||
|
||||
use std::collections::HashMap;
|
||||
use std::fmt;
|
||||
|
||||
pub use histogram::*;
|
||||
pub use range::*;
|
||||
@@ -72,12 +73,12 @@ impl From<&str> for OrderTarget {
|
||||
}
|
||||
}
|
||||
|
||||
impl ToString for OrderTarget {
|
||||
fn to_string(&self) -> String {
|
||||
impl fmt::Display for OrderTarget {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
match self {
|
||||
OrderTarget::Key => "_key".to_string(),
|
||||
OrderTarget::Count => "_count".to_string(),
|
||||
OrderTarget::SubAggregation(agg) => agg.to_string(),
|
||||
OrderTarget::Key => f.write_str("_key"),
|
||||
OrderTarget::Count => f.write_str("_count"),
|
||||
OrderTarget::SubAggregation(agg) => agg.fmt(f),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
use std::fmt::Debug;
|
||||
use std::ops::Range;
|
||||
|
||||
use columnar::{ColumnType, MonotonicallyMappableToU64};
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
@@ -236,7 +235,10 @@ impl SegmentAggregationCollector for SegmentRangeCollector {
|
||||
.column_block_accessor
|
||||
.fetch_block(docs, &bucket_agg_accessor.accessor);
|
||||
|
||||
for (doc, val) in bucket_agg_accessor.column_block_accessor.iter_docid_vals() {
|
||||
for (doc, val) in bucket_agg_accessor
|
||||
.column_block_accessor
|
||||
.iter_docid_vals(docs, &bucket_agg_accessor.accessor)
|
||||
{
|
||||
let bucket_pos = self.get_bucket_pos(val);
|
||||
|
||||
let bucket = &mut self.buckets[bucket_pos];
|
||||
@@ -447,7 +449,6 @@ pub(crate) fn range_to_key(range: &Range<u64>, field_type: &ColumnType) -> crate
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use columnar::MonotonicallyMappableToU64;
|
||||
use serde_json::Value;
|
||||
|
||||
use super::*;
|
||||
@@ -456,7 +457,6 @@ mod tests {
|
||||
exec_request, exec_request_with_query, get_test_index_2_segments,
|
||||
get_test_index_with_num_docs,
|
||||
};
|
||||
use crate::aggregation::AggregationLimits;
|
||||
|
||||
pub fn get_collector_from_ranges(
|
||||
ranges: Vec<RangeAggregationRange>,
|
||||
|
||||
@@ -1,6 +1,10 @@
|
||||
use std::fmt::Debug;
|
||||
use std::net::Ipv6Addr;
|
||||
|
||||
use columnar::{BytesColumn, ColumnType, MonotonicallyMappableToU64, StrColumn};
|
||||
use columnar::column_values::CompactSpaceU64Accessor;
|
||||
use columnar::{
|
||||
BytesColumn, ColumnType, MonotonicallyMappableToU128, MonotonicallyMappableToU64, StrColumn,
|
||||
};
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
@@ -105,9 +109,9 @@ pub struct TermsAggregation {
|
||||
///
|
||||
/// Defaults to 10 * size.
|
||||
#[serde(skip_serializing_if = "Option::is_none", default)]
|
||||
#[serde(alias = "segment_size")]
|
||||
#[serde(alias = "shard_size")]
|
||||
#[serde(alias = "split_size")]
|
||||
pub shard_size: Option<u32>,
|
||||
pub segment_size: Option<u32>,
|
||||
|
||||
/// If you set the `show_term_doc_count_error` parameter to true, the terms aggregation will
|
||||
/// include doc_count_error_upper_bound, which is an upper bound to the error on the
|
||||
@@ -196,7 +200,7 @@ impl TermsAggregationInternal {
|
||||
pub(crate) fn from_req(req: &TermsAggregation) -> Self {
|
||||
let size = req.size.unwrap_or(10);
|
||||
|
||||
let mut segment_size = req.shard_size.unwrap_or(size * 10);
|
||||
let mut segment_size = req.segment_size.unwrap_or(size * 10);
|
||||
|
||||
let order = req.order.clone().unwrap_or_default();
|
||||
segment_size = segment_size.max(size);
|
||||
@@ -306,7 +310,10 @@ impl SegmentAggregationCollector for SegmentTermCollector {
|
||||
}
|
||||
// has subagg
|
||||
if let Some(blueprint) = self.blueprint.as_ref() {
|
||||
for (doc, term_id) in bucket_agg_accessor.column_block_accessor.iter_docid_vals() {
|
||||
for (doc, term_id) in bucket_agg_accessor
|
||||
.column_block_accessor
|
||||
.iter_docid_vals(docs, &bucket_agg_accessor.accessor)
|
||||
{
|
||||
let sub_aggregations = self
|
||||
.term_buckets
|
||||
.sub_aggs
|
||||
@@ -535,6 +542,27 @@ impl SegmentTermCollector {
|
||||
let val = bool::from_u64(val);
|
||||
dict.insert(IntermediateKey::Bool(val), intermediate_entry);
|
||||
}
|
||||
} else if self.column_type == ColumnType::IpAddr {
|
||||
let compact_space_accessor = agg_with_accessor
|
||||
.accessor
|
||||
.values
|
||||
.clone()
|
||||
.downcast_arc::<CompactSpaceU64Accessor>()
|
||||
.map_err(|_| {
|
||||
TantivyError::AggregationError(
|
||||
crate::aggregation::AggregationError::InternalError(
|
||||
"Type mismatch: Could not downcast to CompactSpaceU64Accessor"
|
||||
.to_string(),
|
||||
),
|
||||
)
|
||||
})?;
|
||||
|
||||
for (val, doc_count) in entries {
|
||||
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
|
||||
let val: u128 = compact_space_accessor.compact_to_u128(val as u32);
|
||||
let val = Ipv6Addr::from_u128(val);
|
||||
dict.insert(IntermediateKey::IpAddr(val), intermediate_entry);
|
||||
}
|
||||
} else {
|
||||
for (val, doc_count) in entries {
|
||||
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
|
||||
@@ -587,6 +615,9 @@ pub(crate) fn cut_off_buckets<T: GetDocCount + Debug>(
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::net::IpAddr;
|
||||
use std::str::FromStr;
|
||||
|
||||
use common::DateTime;
|
||||
use time::{Date, Month};
|
||||
|
||||
@@ -597,7 +628,7 @@ mod tests {
|
||||
};
|
||||
use crate::aggregation::AggregationLimits;
|
||||
use crate::indexer::NoMergePolicy;
|
||||
use crate::schema::{Schema, FAST, STRING};
|
||||
use crate::schema::{IntoIpv6Addr, Schema, FAST, STRING};
|
||||
use crate::{Index, IndexWriter};
|
||||
|
||||
#[test]
|
||||
@@ -1179,9 +1210,9 @@ mod tests {
|
||||
|
||||
assert_eq!(res["my_texts"]["buckets"][0]["key"], "terma");
|
||||
assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 4);
|
||||
assert_eq!(res["my_texts"]["buckets"][1]["key"], "termc");
|
||||
assert_eq!(res["my_texts"]["buckets"][1]["key"], "termb");
|
||||
assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 0);
|
||||
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termb");
|
||||
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termc");
|
||||
assert_eq!(res["my_texts"]["buckets"][2]["doc_count"], 0);
|
||||
assert_eq!(res["my_texts"]["sum_other_doc_count"], 0);
|
||||
assert_eq!(res["my_texts"]["doc_count_error_upper_bound"], 0);
|
||||
@@ -1927,4 +1958,44 @@ mod tests {
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn terms_aggregation_ip_addr() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let field = schema_builder.add_ip_addr_field("ip_field", FAST);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
let mut writer = index.writer_with_num_threads(1, 15_000_000)?;
|
||||
// IpV6 loopback
|
||||
writer.add_document(doc!(field=>IpAddr::from_str("::1").unwrap().into_ipv6_addr()))?;
|
||||
writer.add_document(doc!(field=>IpAddr::from_str("::1").unwrap().into_ipv6_addr()))?;
|
||||
// IpV4
|
||||
writer.add_document(
|
||||
doc!(field=>IpAddr::from_str("127.0.0.1").unwrap().into_ipv6_addr()),
|
||||
)?;
|
||||
writer.commit()?;
|
||||
}
|
||||
|
||||
let agg_req: Aggregations = serde_json::from_value(json!({
|
||||
"my_bool": {
|
||||
"terms": {
|
||||
"field": "ip_field"
|
||||
},
|
||||
}
|
||||
}))
|
||||
.unwrap();
|
||||
|
||||
let res = exec_request_with_query(agg_req, &index, None)?;
|
||||
// print as json
|
||||
// println!("{}", serde_json::to_string_pretty(&res).unwrap());
|
||||
|
||||
assert_eq!(res["my_bool"]["buckets"][0]["key"], "::1");
|
||||
assert_eq!(res["my_bool"]["buckets"][0]["doc_count"], 2);
|
||||
assert_eq!(res["my_bool"]["buckets"][1]["key"], "127.0.0.1");
|
||||
assert_eq!(res["my_bool"]["buckets"][1]["doc_count"], 1);
|
||||
assert_eq!(res["my_bool"]["buckets"][2]["key"], serde_json::Value::Null);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,6 +5,7 @@
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::hash_map::Entry;
|
||||
use std::hash::Hash;
|
||||
use std::net::Ipv6Addr;
|
||||
|
||||
use columnar::ColumnType;
|
||||
use itertools::Itertools;
|
||||
@@ -19,7 +20,7 @@ use super::bucket::{
|
||||
};
|
||||
use super::metric::{
|
||||
IntermediateAverage, IntermediateCount, IntermediateMax, IntermediateMin, IntermediateStats,
|
||||
IntermediateSum, PercentilesCollector, TopHitsCollector,
|
||||
IntermediateSum, PercentilesCollector, TopHitsTopNComputer,
|
||||
};
|
||||
use super::segment_agg_result::AggregationLimits;
|
||||
use super::{format_date, AggregationError, Key, SerializedKey};
|
||||
@@ -41,6 +42,8 @@ pub struct IntermediateAggregationResults {
|
||||
/// This might seem redundant with `Key`, but the point is to have a different
|
||||
/// Serialize implementation.
|
||||
pub enum IntermediateKey {
|
||||
/// Ip Addr key
|
||||
IpAddr(Ipv6Addr),
|
||||
/// Bool key
|
||||
Bool(bool),
|
||||
/// String key
|
||||
@@ -60,6 +63,14 @@ impl From<IntermediateKey> for Key {
|
||||
fn from(value: IntermediateKey) -> Self {
|
||||
match value {
|
||||
IntermediateKey::Str(s) => Self::Str(s),
|
||||
IntermediateKey::IpAddr(s) => {
|
||||
// Prefer to use the IPv4 representation if possible
|
||||
if let Some(ip) = s.to_ipv4_mapped() {
|
||||
Self::Str(ip.to_string())
|
||||
} else {
|
||||
Self::Str(s.to_string())
|
||||
}
|
||||
}
|
||||
IntermediateKey::F64(f) => Self::F64(f),
|
||||
IntermediateKey::Bool(f) => Self::F64(f as u64 as f64),
|
||||
}
|
||||
@@ -75,6 +86,7 @@ impl std::hash::Hash for IntermediateKey {
|
||||
IntermediateKey::Str(text) => text.hash(state),
|
||||
IntermediateKey::F64(val) => val.to_bits().hash(state),
|
||||
IntermediateKey::Bool(val) => val.hash(state),
|
||||
IntermediateKey::IpAddr(val) => val.hash(state),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -209,9 +221,9 @@ pub(crate) fn empty_from_req(req: &Aggregation) -> IntermediateAggregationResult
|
||||
Percentiles(_) => IntermediateAggregationResult::Metric(
|
||||
IntermediateMetricResult::Percentiles(PercentilesCollector::default()),
|
||||
),
|
||||
TopHits(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::TopHits(
|
||||
TopHitsCollector::default(),
|
||||
)),
|
||||
TopHits(ref req) => IntermediateAggregationResult::Metric(
|
||||
IntermediateMetricResult::TopHits(TopHitsTopNComputer::new(req.clone())),
|
||||
),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -273,7 +285,7 @@ pub enum IntermediateMetricResult {
|
||||
/// Intermediate sum result.
|
||||
Sum(IntermediateSum),
|
||||
/// Intermediate top_hits result
|
||||
TopHits(TopHitsCollector),
|
||||
TopHits(TopHitsTopNComputer),
|
||||
}
|
||||
|
||||
impl IntermediateMetricResult {
|
||||
@@ -302,7 +314,7 @@ impl IntermediateMetricResult {
|
||||
.into_final_result(req.agg.as_percentile().expect("unexpected metric type")),
|
||||
),
|
||||
IntermediateMetricResult::TopHits(top_hits) => {
|
||||
MetricResult::TopHits(top_hits.finalize())
|
||||
MetricResult::TopHits(top_hits.into_final_result())
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -25,6 +25,8 @@ mod stats;
|
||||
mod sum;
|
||||
mod top_hits;
|
||||
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub use average::*;
|
||||
pub use count::*;
|
||||
pub use max::*;
|
||||
@@ -36,6 +38,8 @@ pub use stats::*;
|
||||
pub use sum::*;
|
||||
pub use top_hits::*;
|
||||
|
||||
use crate::schema::OwnedValue;
|
||||
|
||||
/// Single-metric aggregations use this common result structure.
|
||||
///
|
||||
/// Main reason to wrap it in value is to match elasticsearch output structure.
|
||||
@@ -92,8 +96,9 @@ pub struct TopHitsVecEntry {
|
||||
|
||||
/// Search results, for queries that include field retrieval requests
|
||||
/// (`docvalue_fields`).
|
||||
#[serde(flatten)]
|
||||
pub search_results: FieldRetrivalResult,
|
||||
#[serde(rename = "docvalue_fields")]
|
||||
#[serde(skip_serializing_if = "HashMap::is_empty")]
|
||||
pub doc_value_fields: HashMap<String, OwnedValue>,
|
||||
}
|
||||
|
||||
/// The top_hits metric aggregation results a list of top hits by sort criteria.
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
use std::fmt::Debug;
|
||||
|
||||
use columnar::ColumnType;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::*;
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use columnar::ColumnType;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::*;
|
||||
|
||||
@@ -1,7 +1,9 @@
|
||||
use std::collections::HashMap;
|
||||
use std::fmt::Formatter;
|
||||
use std::net::Ipv6Addr;
|
||||
|
||||
use columnar::{ColumnarReader, DynamicColumn};
|
||||
use common::json_path_writer::JSON_PATH_SEGMENT_SEP_STR;
|
||||
use common::DateTime;
|
||||
use regex::Regex;
|
||||
use serde::ser::SerializeMap;
|
||||
use serde::{Deserialize, Deserializer, Serialize, Serializer};
|
||||
@@ -12,8 +14,8 @@ use crate::aggregation::intermediate_agg_result::{
|
||||
IntermediateAggregationResult, IntermediateMetricResult,
|
||||
};
|
||||
use crate::aggregation::segment_agg_result::SegmentAggregationCollector;
|
||||
use crate::aggregation::AggregationError;
|
||||
use crate::collector::TopNComputer;
|
||||
use crate::schema::term::JSON_PATH_SEGMENT_SEP_STR;
|
||||
use crate::schema::OwnedValue;
|
||||
use crate::{DocAddress, DocId, SegmentOrdinal};
|
||||
|
||||
@@ -92,53 +94,106 @@ pub struct TopHitsAggregation {
|
||||
size: usize,
|
||||
from: Option<usize>,
|
||||
|
||||
#[serde(flatten)]
|
||||
retrieval: RetrievalFields,
|
||||
}
|
||||
|
||||
const fn default_doc_value_fields() -> Vec<String> {
|
||||
Vec::new()
|
||||
}
|
||||
|
||||
/// Search query spec for each matched document
|
||||
/// TODO: move this to a common module
|
||||
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
|
||||
pub struct RetrievalFields {
|
||||
/// The fast fields to return for each hit.
|
||||
/// This is the only variant supported for now.
|
||||
/// TODO: support the {field, format} variant for custom formatting.
|
||||
#[serde(rename = "docvalue_fields")]
|
||||
#[serde(default = "default_doc_value_fields")]
|
||||
pub doc_value_fields: Vec<String>,
|
||||
#[serde(default)]
|
||||
doc_value_fields: Vec<String>,
|
||||
|
||||
// Not supported
|
||||
_source: Option<serde_json::Value>,
|
||||
fields: Option<serde_json::Value>,
|
||||
script_fields: Option<serde_json::Value>,
|
||||
highlight: Option<serde_json::Value>,
|
||||
explain: Option<serde_json::Value>,
|
||||
version: Option<serde_json::Value>,
|
||||
}
|
||||
|
||||
/// Search query result for each matched document
|
||||
/// TODO: move this to a common module
|
||||
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
|
||||
pub struct FieldRetrivalResult {
|
||||
/// The fast fields returned for each hit.
|
||||
#[serde(rename = "docvalue_fields")]
|
||||
#[serde(skip_serializing_if = "HashMap::is_empty")]
|
||||
pub doc_value_fields: HashMap<String, OwnedValue>,
|
||||
#[derive(Debug, Clone, PartialEq, Default)]
|
||||
struct KeyOrder {
|
||||
field: String,
|
||||
order: Order,
|
||||
}
|
||||
|
||||
impl RetrievalFields {
|
||||
fn get_field_names(&self) -> Vec<&str> {
|
||||
self.doc_value_fields.iter().map(|s| s.as_str()).collect()
|
||||
impl Serialize for KeyOrder {
|
||||
fn serialize<S: Serializer>(&self, serializer: S) -> Result<S::Ok, S::Error> {
|
||||
let KeyOrder { field, order } = self;
|
||||
let mut map = serializer.serialize_map(Some(1))?;
|
||||
map.serialize_entry(field, order)?;
|
||||
map.end()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'de> Deserialize<'de> for KeyOrder {
|
||||
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
|
||||
where D: Deserializer<'de> {
|
||||
let mut key_order = <HashMap<String, Order>>::deserialize(deserializer)?.into_iter();
|
||||
let (field, order) = key_order.next().ok_or(serde::de::Error::custom(
|
||||
"Expected exactly one key-value pair in sort parameter of top_hits, found none",
|
||||
))?;
|
||||
if key_order.next().is_some() {
|
||||
return Err(serde::de::Error::custom(format!(
|
||||
"Expected exactly one key-value pair in sort parameter of top_hits, found {:?}",
|
||||
key_order
|
||||
)));
|
||||
}
|
||||
Ok(Self { field, order })
|
||||
}
|
||||
}
|
||||
|
||||
// Tranform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
|
||||
fn globbed_string_to_regex(glob: &str) -> Result<Regex, crate::TantivyError> {
|
||||
// Replace `*` glob with `.*` regex
|
||||
let sanitized = format!("^{}$", regex::escape(glob).replace(r"\*", ".*"));
|
||||
Regex::new(&sanitized.replace('*', ".*")).map_err(|e| {
|
||||
crate::TantivyError::SchemaError(format!(
|
||||
"Invalid regex '{}' in docvalue_fields: {}",
|
||||
glob, e
|
||||
))
|
||||
})
|
||||
}
|
||||
|
||||
fn use_doc_value_fields_err(parameter: &str) -> crate::Result<()> {
|
||||
Err(crate::TantivyError::AggregationError(
|
||||
AggregationError::InvalidRequest(format!(
|
||||
"The `{}` parameter is not supported, only `docvalue_fields` is supported in \
|
||||
`top_hits` aggregation",
|
||||
parameter
|
||||
)),
|
||||
))
|
||||
}
|
||||
fn unsupported_err(parameter: &str) -> crate::Result<()> {
|
||||
Err(crate::TantivyError::AggregationError(
|
||||
AggregationError::InvalidRequest(format!(
|
||||
"The `{}` parameter is not supported in the `top_hits` aggregation",
|
||||
parameter
|
||||
)),
|
||||
))
|
||||
}
|
||||
|
||||
impl TopHitsAggregation {
|
||||
/// Validate and resolve field retrieval parameters
|
||||
pub fn validate_and_resolve_field_names(
|
||||
&mut self,
|
||||
reader: &ColumnarReader,
|
||||
) -> crate::Result<()> {
|
||||
if self._source.is_some() {
|
||||
use_doc_value_fields_err("_source")?;
|
||||
}
|
||||
if self.fields.is_some() {
|
||||
use_doc_value_fields_err("fields")?;
|
||||
}
|
||||
if self.script_fields.is_some() {
|
||||
use_doc_value_fields_err("script_fields")?;
|
||||
}
|
||||
if self.explain.is_some() {
|
||||
unsupported_err("explain")?;
|
||||
}
|
||||
if self.highlight.is_some() {
|
||||
unsupported_err("highlight")?;
|
||||
}
|
||||
if self.version.is_some() {
|
||||
unsupported_err("version")?;
|
||||
}
|
||||
|
||||
fn resolve_field_names(&mut self, reader: &ColumnarReader) -> crate::Result<()> {
|
||||
// Tranform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
|
||||
let globbed_string_to_regex = |glob: &str| {
|
||||
// Replace `*` glob with `.*` regex
|
||||
let sanitized = format!("^{}$", regex::escape(glob).replace(r"\*", ".*"));
|
||||
Regex::new(&sanitized.replace('*', ".*")).map_err(|e| {
|
||||
crate::TantivyError::SchemaError(format!(
|
||||
"Invalid regex '{}' in docvalue_fields: {}",
|
||||
glob, e
|
||||
))
|
||||
})
|
||||
};
|
||||
self.doc_value_fields = self
|
||||
.doc_value_fields
|
||||
.iter()
|
||||
@@ -175,12 +230,25 @@ impl RetrievalFields {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Return fields accessed by the aggregator, in order.
|
||||
pub fn field_names(&self) -> Vec<&str> {
|
||||
self.sort
|
||||
.iter()
|
||||
.map(|KeyOrder { field, .. }| field.as_str())
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Return fields accessed by the aggregator's value retrieval.
|
||||
pub fn value_field_names(&self) -> Vec<&str> {
|
||||
self.doc_value_fields.iter().map(|s| s.as_str()).collect()
|
||||
}
|
||||
|
||||
fn get_document_field_data(
|
||||
&self,
|
||||
accessors: &HashMap<String, Vec<DynamicColumn>>,
|
||||
doc_id: DocId,
|
||||
) -> FieldRetrivalResult {
|
||||
let dvf = self
|
||||
) -> HashMap<String, FastFieldValue> {
|
||||
let doc_value_fields = self
|
||||
.doc_value_fields
|
||||
.iter()
|
||||
.map(|field| {
|
||||
@@ -188,20 +256,20 @@ impl RetrievalFields {
|
||||
.get(field)
|
||||
.unwrap_or_else(|| panic!("field '{}' not found in accessors", field));
|
||||
|
||||
let values: Vec<OwnedValue> = accessors
|
||||
let values: Vec<FastFieldValue> = accessors
|
||||
.iter()
|
||||
.flat_map(|accessor| match accessor {
|
||||
DynamicColumn::U64(accessor) => accessor
|
||||
.values_for_doc(doc_id)
|
||||
.map(OwnedValue::U64)
|
||||
.map(FastFieldValue::U64)
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::I64(accessor) => accessor
|
||||
.values_for_doc(doc_id)
|
||||
.map(OwnedValue::I64)
|
||||
.map(FastFieldValue::I64)
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::F64(accessor) => accessor
|
||||
.values_for_doc(doc_id)
|
||||
.map(OwnedValue::F64)
|
||||
.map(FastFieldValue::F64)
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::Bytes(accessor) => accessor
|
||||
.term_ords(doc_id)
|
||||
@@ -213,7 +281,7 @@ impl RetrievalFields {
|
||||
.expect("could not read term dictionary"),
|
||||
"term corresponding to term_ord does not exist"
|
||||
);
|
||||
OwnedValue::Bytes(buffer)
|
||||
FastFieldValue::Bytes(buffer)
|
||||
})
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::Str(accessor) => accessor
|
||||
@@ -226,94 +294,82 @@ impl RetrievalFields {
|
||||
.expect("could not read term dictionary"),
|
||||
"term corresponding to term_ord does not exist"
|
||||
);
|
||||
OwnedValue::Str(String::from_utf8(buffer).unwrap())
|
||||
FastFieldValue::Str(String::from_utf8(buffer).unwrap())
|
||||
})
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::Bool(accessor) => accessor
|
||||
.values_for_doc(doc_id)
|
||||
.map(OwnedValue::Bool)
|
||||
.map(FastFieldValue::Bool)
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::IpAddr(accessor) => accessor
|
||||
.values_for_doc(doc_id)
|
||||
.map(OwnedValue::IpAddr)
|
||||
.map(FastFieldValue::IpAddr)
|
||||
.collect::<Vec<_>>(),
|
||||
DynamicColumn::DateTime(accessor) => accessor
|
||||
.values_for_doc(doc_id)
|
||||
.map(OwnedValue::Date)
|
||||
.map(FastFieldValue::Date)
|
||||
.collect::<Vec<_>>(),
|
||||
})
|
||||
.collect();
|
||||
|
||||
(field.to_owned(), OwnedValue::Array(values))
|
||||
(field.to_owned(), FastFieldValue::Array(values))
|
||||
})
|
||||
.collect();
|
||||
FieldRetrivalResult {
|
||||
doc_value_fields: dvf,
|
||||
doc_value_fields
|
||||
}
|
||||
}
|
||||
|
||||
/// A retrieved value from a fast field.
|
||||
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
|
||||
pub enum FastFieldValue {
|
||||
/// The str type is used for any text information.
|
||||
Str(String),
|
||||
/// Unsigned 64-bits Integer `u64`
|
||||
U64(u64),
|
||||
/// Signed 64-bits Integer `i64`
|
||||
I64(i64),
|
||||
/// 64-bits Float `f64`
|
||||
F64(f64),
|
||||
/// Bool value
|
||||
Bool(bool),
|
||||
/// Date/time with nanoseconds precision
|
||||
Date(DateTime),
|
||||
/// Arbitrarily sized byte array
|
||||
Bytes(Vec<u8>),
|
||||
/// IpV6 Address. Internally there is no IpV4, it needs to be converted to `Ipv6Addr`.
|
||||
IpAddr(Ipv6Addr),
|
||||
/// A list of values.
|
||||
Array(Vec<Self>),
|
||||
}
|
||||
|
||||
impl From<FastFieldValue> for OwnedValue {
|
||||
fn from(value: FastFieldValue) -> Self {
|
||||
match value {
|
||||
FastFieldValue::Str(s) => OwnedValue::Str(s),
|
||||
FastFieldValue::U64(u) => OwnedValue::U64(u),
|
||||
FastFieldValue::I64(i) => OwnedValue::I64(i),
|
||||
FastFieldValue::F64(f) => OwnedValue::F64(f),
|
||||
FastFieldValue::Bool(b) => OwnedValue::Bool(b),
|
||||
FastFieldValue::Date(d) => OwnedValue::Date(d),
|
||||
FastFieldValue::Bytes(b) => OwnedValue::Bytes(b),
|
||||
FastFieldValue::IpAddr(ip) => OwnedValue::IpAddr(ip),
|
||||
FastFieldValue::Array(a) => {
|
||||
OwnedValue::Array(a.into_iter().map(OwnedValue::from).collect())
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, PartialEq, Default)]
|
||||
struct KeyOrder {
|
||||
field: String,
|
||||
order: Order,
|
||||
}
|
||||
|
||||
impl Serialize for KeyOrder {
|
||||
fn serialize<S: Serializer>(&self, serializer: S) -> Result<S::Ok, S::Error> {
|
||||
let KeyOrder { field, order } = self;
|
||||
let mut map = serializer.serialize_map(Some(1))?;
|
||||
map.serialize_entry(field, order)?;
|
||||
map.end()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'de> Deserialize<'de> for KeyOrder {
|
||||
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
|
||||
where D: Deserializer<'de> {
|
||||
let mut k_o = <HashMap<String, Order>>::deserialize(deserializer)?.into_iter();
|
||||
let (k, v) = k_o.next().ok_or(serde::de::Error::custom(
|
||||
"Expected exactly one key-value pair in KeyOrder, found none",
|
||||
))?;
|
||||
if k_o.next().is_some() {
|
||||
return Err(serde::de::Error::custom(
|
||||
"Expected exactly one key-value pair in KeyOrder, found more",
|
||||
));
|
||||
}
|
||||
Ok(Self { field: k, order: v })
|
||||
}
|
||||
}
|
||||
|
||||
impl TopHitsAggregation {
|
||||
/// Validate and resolve field retrieval parameters
|
||||
pub fn validate_and_resolve(&mut self, reader: &ColumnarReader) -> crate::Result<()> {
|
||||
self.retrieval.resolve_field_names(reader)
|
||||
}
|
||||
|
||||
/// Return fields accessed by the aggregator, in order.
|
||||
pub fn field_names(&self) -> Vec<&str> {
|
||||
self.sort
|
||||
.iter()
|
||||
.map(|KeyOrder { field, .. }| field.as_str())
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Return fields accessed by the aggregator's value retrieval.
|
||||
pub fn value_field_names(&self) -> Vec<&str> {
|
||||
self.retrieval.get_field_names()
|
||||
}
|
||||
}
|
||||
|
||||
/// Holds a single comparable doc feature, and the order in which it should be sorted.
|
||||
/// Holds a fast field value in its u64 representation, and the order in which it should be sorted.
|
||||
#[derive(Clone, Serialize, Deserialize, Debug)]
|
||||
struct ComparableDocFeature {
|
||||
/// Stores any u64-mappable feature.
|
||||
struct DocValueAndOrder {
|
||||
/// A fast field value in its u64 representation.
|
||||
value: Option<u64>,
|
||||
/// Sort order for the doc feature
|
||||
/// Sort order for the value
|
||||
order: Order,
|
||||
}
|
||||
|
||||
impl Ord for ComparableDocFeature {
|
||||
impl Ord for DocValueAndOrder {
|
||||
fn cmp(&self, other: &Self) -> std::cmp::Ordering {
|
||||
let invert = |cmp: std::cmp::Ordering| match self.order {
|
||||
Order::Asc => cmp,
|
||||
@@ -329,26 +385,32 @@ impl Ord for ComparableDocFeature {
|
||||
}
|
||||
}
|
||||
|
||||
impl PartialOrd for ComparableDocFeature {
|
||||
impl PartialOrd for DocValueAndOrder {
|
||||
fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
|
||||
Some(self.cmp(other))
|
||||
}
|
||||
}
|
||||
|
||||
impl PartialEq for ComparableDocFeature {
|
||||
impl PartialEq for DocValueAndOrder {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
self.value.cmp(&other.value) == std::cmp::Ordering::Equal
|
||||
}
|
||||
}
|
||||
|
||||
impl Eq for ComparableDocFeature {}
|
||||
impl Eq for DocValueAndOrder {}
|
||||
|
||||
#[derive(Clone, Serialize, Deserialize, Debug)]
|
||||
struct ComparableDocFeatures(Vec<ComparableDocFeature>, FieldRetrivalResult);
|
||||
struct DocSortValuesAndFields {
|
||||
sorts: Vec<DocValueAndOrder>,
|
||||
|
||||
impl Ord for ComparableDocFeatures {
|
||||
#[serde(rename = "docvalue_fields")]
|
||||
#[serde(skip_serializing_if = "HashMap::is_empty")]
|
||||
doc_value_fields: HashMap<String, FastFieldValue>,
|
||||
}
|
||||
|
||||
impl Ord for DocSortValuesAndFields {
|
||||
fn cmp(&self, other: &Self) -> std::cmp::Ordering {
|
||||
for (self_feature, other_feature) in self.0.iter().zip(other.0.iter()) {
|
||||
for (self_feature, other_feature) in self.sorts.iter().zip(other.sorts.iter()) {
|
||||
let cmp = self_feature.cmp(other_feature);
|
||||
if cmp != std::cmp::Ordering::Equal {
|
||||
return cmp;
|
||||
@@ -358,53 +420,43 @@ impl Ord for ComparableDocFeatures {
|
||||
}
|
||||
}
|
||||
|
||||
impl PartialOrd for ComparableDocFeatures {
|
||||
impl PartialOrd for DocSortValuesAndFields {
|
||||
fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
|
||||
Some(self.cmp(other))
|
||||
}
|
||||
}
|
||||
|
||||
impl PartialEq for ComparableDocFeatures {
|
||||
impl PartialEq for DocSortValuesAndFields {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
self.cmp(other) == std::cmp::Ordering::Equal
|
||||
}
|
||||
}
|
||||
|
||||
impl Eq for ComparableDocFeatures {}
|
||||
impl Eq for DocSortValuesAndFields {}
|
||||
|
||||
/// The TopHitsCollector used for collecting over segments and merging results.
|
||||
#[derive(Clone, Serialize, Deserialize)]
|
||||
pub struct TopHitsCollector {
|
||||
#[derive(Clone, Serialize, Deserialize, Debug)]
|
||||
pub struct TopHitsTopNComputer {
|
||||
req: TopHitsAggregation,
|
||||
top_n: TopNComputer<ComparableDocFeatures, DocAddress, false>,
|
||||
top_n: TopNComputer<DocSortValuesAndFields, DocAddress, false>,
|
||||
}
|
||||
|
||||
impl Default for TopHitsCollector {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
req: TopHitsAggregation::default(),
|
||||
top_n: TopNComputer::new(1),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl std::fmt::Debug for TopHitsCollector {
|
||||
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
|
||||
f.debug_struct("TopHitsCollector")
|
||||
.field("req", &self.req)
|
||||
.field("top_n_threshold", &self.top_n.threshold)
|
||||
.finish()
|
||||
}
|
||||
}
|
||||
|
||||
impl std::cmp::PartialEq for TopHitsCollector {
|
||||
impl std::cmp::PartialEq for TopHitsTopNComputer {
|
||||
fn eq(&self, _other: &Self) -> bool {
|
||||
false
|
||||
}
|
||||
}
|
||||
|
||||
impl TopHitsCollector {
|
||||
fn collect(&mut self, features: ComparableDocFeatures, doc: DocAddress) {
|
||||
impl TopHitsTopNComputer {
|
||||
/// Create a new TopHitsCollector
|
||||
pub fn new(req: TopHitsAggregation) -> Self {
|
||||
Self {
|
||||
top_n: TopNComputer::new(req.size + req.from.unwrap_or(0)),
|
||||
req,
|
||||
}
|
||||
}
|
||||
|
||||
fn collect(&mut self, features: DocSortValuesAndFields, doc: DocAddress) {
|
||||
self.top_n.push(features, doc);
|
||||
}
|
||||
|
||||
@@ -416,14 +468,19 @@ impl TopHitsCollector {
|
||||
}
|
||||
|
||||
/// Finalize by converting self into the final result form
|
||||
pub fn finalize(self) -> TopHitsMetricResult {
|
||||
pub fn into_final_result(self) -> TopHitsMetricResult {
|
||||
let mut hits: Vec<TopHitsVecEntry> = self
|
||||
.top_n
|
||||
.into_sorted_vec()
|
||||
.into_iter()
|
||||
.map(|doc| TopHitsVecEntry {
|
||||
sort: doc.feature.0.iter().map(|f| f.value).collect(),
|
||||
search_results: doc.feature.1,
|
||||
sort: doc.feature.sorts.iter().map(|f| f.value).collect(),
|
||||
doc_value_fields: doc
|
||||
.feature
|
||||
.doc_value_fields
|
||||
.into_iter()
|
||||
.map(|(k, v)| (k, v.into()))
|
||||
.collect(),
|
||||
})
|
||||
.collect();
|
||||
|
||||
@@ -436,48 +493,63 @@ impl TopHitsCollector {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
pub(crate) struct SegmentTopHitsCollector {
|
||||
#[derive(Clone, Debug)]
|
||||
pub(crate) struct TopHitsSegmentCollector {
|
||||
segment_ordinal: SegmentOrdinal,
|
||||
accessor_idx: usize,
|
||||
inner_collector: TopHitsCollector,
|
||||
req: TopHitsAggregation,
|
||||
top_n: TopNComputer<Vec<DocValueAndOrder>, DocAddress, false>,
|
||||
}
|
||||
|
||||
impl SegmentTopHitsCollector {
|
||||
impl TopHitsSegmentCollector {
|
||||
pub fn from_req(
|
||||
req: &TopHitsAggregation,
|
||||
accessor_idx: usize,
|
||||
segment_ordinal: SegmentOrdinal,
|
||||
) -> Self {
|
||||
Self {
|
||||
inner_collector: TopHitsCollector {
|
||||
req: req.clone(),
|
||||
top_n: TopNComputer::new(req.size + req.from.unwrap_or(0)),
|
||||
},
|
||||
req: req.clone(),
|
||||
top_n: TopNComputer::new(req.size + req.from.unwrap_or(0)),
|
||||
segment_ordinal,
|
||||
accessor_idx,
|
||||
}
|
||||
}
|
||||
}
|
||||
fn into_top_hits_collector(
|
||||
self,
|
||||
value_accessors: &HashMap<String, Vec<DynamicColumn>>,
|
||||
) -> TopHitsTopNComputer {
|
||||
let mut top_hits_computer = TopHitsTopNComputer::new(self.req.clone());
|
||||
let top_results = self.top_n.into_vec();
|
||||
|
||||
impl std::fmt::Debug for SegmentTopHitsCollector {
|
||||
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
|
||||
f.debug_struct("SegmentTopHitsCollector")
|
||||
.field("segment_id", &self.segment_ordinal)
|
||||
.field("accessor_idx", &self.accessor_idx)
|
||||
.field("inner_collector", &self.inner_collector)
|
||||
.finish()
|
||||
for res in top_results {
|
||||
let doc_value_fields = self
|
||||
.req
|
||||
.get_document_field_data(value_accessors, res.doc.doc_id);
|
||||
top_hits_computer.collect(
|
||||
DocSortValuesAndFields {
|
||||
sorts: res.feature,
|
||||
doc_value_fields,
|
||||
},
|
||||
res.doc,
|
||||
);
|
||||
}
|
||||
|
||||
top_hits_computer
|
||||
}
|
||||
}
|
||||
|
||||
impl SegmentAggregationCollector for SegmentTopHitsCollector {
|
||||
impl SegmentAggregationCollector for TopHitsSegmentCollector {
|
||||
fn add_intermediate_aggregation_result(
|
||||
self: Box<Self>,
|
||||
agg_with_accessor: &crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor,
|
||||
results: &mut crate::aggregation::intermediate_agg_result::IntermediateAggregationResults,
|
||||
) -> crate::Result<()> {
|
||||
let name = agg_with_accessor.aggs.keys[self.accessor_idx].to_string();
|
||||
let intermediate_result = IntermediateMetricResult::TopHits(self.inner_collector);
|
||||
|
||||
let value_accessors = &agg_with_accessor.aggs.values[self.accessor_idx].value_accessors;
|
||||
|
||||
let intermediate_result =
|
||||
IntermediateMetricResult::TopHits(self.into_top_hits_collector(value_accessors));
|
||||
results.push(
|
||||
name,
|
||||
IntermediateAggregationResult::Metric(intermediate_result),
|
||||
@@ -490,9 +562,7 @@ impl SegmentAggregationCollector for SegmentTopHitsCollector {
|
||||
agg_with_accessor: &mut crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor,
|
||||
) -> crate::Result<()> {
|
||||
let accessors = &agg_with_accessor.aggs.values[self.accessor_idx].accessors;
|
||||
let value_accessors = &agg_with_accessor.aggs.values[self.accessor_idx].value_accessors;
|
||||
let features: Vec<ComparableDocFeature> = self
|
||||
.inner_collector
|
||||
let sorts: Vec<DocValueAndOrder> = self
|
||||
.req
|
||||
.sort
|
||||
.iter()
|
||||
@@ -505,18 +575,12 @@ impl SegmentAggregationCollector for SegmentTopHitsCollector {
|
||||
.0
|
||||
.values_for_doc(doc_id)
|
||||
.next();
|
||||
ComparableDocFeature { value, order }
|
||||
DocValueAndOrder { value, order }
|
||||
})
|
||||
.collect();
|
||||
|
||||
let retrieval_result = self
|
||||
.inner_collector
|
||||
.req
|
||||
.retrieval
|
||||
.get_document_field_data(value_accessors, doc_id);
|
||||
|
||||
self.inner_collector.collect(
|
||||
ComparableDocFeatures(features, retrieval_result),
|
||||
self.top_n.push(
|
||||
sorts,
|
||||
DocAddress {
|
||||
segment_ord: self.segment_ordinal,
|
||||
doc_id,
|
||||
@@ -530,11 +594,7 @@ impl SegmentAggregationCollector for SegmentTopHitsCollector {
|
||||
docs: &[crate::DocId],
|
||||
agg_with_accessor: &mut crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor,
|
||||
) -> crate::Result<()> {
|
||||
// TODO: Consider getting fields with the column block accessor and refactor this.
|
||||
// ---
|
||||
// Would the additional complexity of getting fields with the column_block_accessor
|
||||
// make sense here? Probably yes, but I want to get a first-pass review first
|
||||
// before proceeding.
|
||||
// TODO: Consider getting fields with the column block accessor.
|
||||
for doc in docs {
|
||||
self.collect(*doc, agg_with_accessor)?;
|
||||
}
|
||||
@@ -549,7 +609,7 @@ mod tests {
|
||||
use serde_json::Value;
|
||||
use time::macros::datetime;
|
||||
|
||||
use super::{ComparableDocFeature, ComparableDocFeatures, Order};
|
||||
use super::{DocSortValuesAndFields, DocValueAndOrder, Order};
|
||||
use crate::aggregation::agg_req::Aggregations;
|
||||
use crate::aggregation::agg_result::AggregationResults;
|
||||
use crate::aggregation::bucket::tests::get_test_index_from_docs;
|
||||
@@ -557,44 +617,44 @@ mod tests {
|
||||
use crate::aggregation::AggregationCollector;
|
||||
use crate::collector::ComparableDoc;
|
||||
use crate::query::AllQuery;
|
||||
use crate::schema::OwnedValue as SchemaValue;
|
||||
use crate::schema::OwnedValue;
|
||||
|
||||
fn invert_order(cmp_feature: ComparableDocFeature) -> ComparableDocFeature {
|
||||
let ComparableDocFeature { value, order } = cmp_feature;
|
||||
fn invert_order(cmp_feature: DocValueAndOrder) -> DocValueAndOrder {
|
||||
let DocValueAndOrder { value, order } = cmp_feature;
|
||||
let order = match order {
|
||||
Order::Asc => Order::Desc,
|
||||
Order::Desc => Order::Asc,
|
||||
};
|
||||
ComparableDocFeature { value, order }
|
||||
DocValueAndOrder { value, order }
|
||||
}
|
||||
|
||||
fn collector_with_capacity(capacity: usize) -> super::TopHitsCollector {
|
||||
super::TopHitsCollector {
|
||||
fn collector_with_capacity(capacity: usize) -> super::TopHitsTopNComputer {
|
||||
super::TopHitsTopNComputer {
|
||||
top_n: super::TopNComputer::new(capacity),
|
||||
..Default::default()
|
||||
req: Default::default(),
|
||||
}
|
||||
}
|
||||
|
||||
fn invert_order_features(cmp_features: ComparableDocFeatures) -> ComparableDocFeatures {
|
||||
let ComparableDocFeatures(cmp_features, search_results) = cmp_features;
|
||||
let cmp_features = cmp_features
|
||||
fn invert_order_features(mut cmp_features: DocSortValuesAndFields) -> DocSortValuesAndFields {
|
||||
cmp_features.sorts = cmp_features
|
||||
.sorts
|
||||
.into_iter()
|
||||
.map(invert_order)
|
||||
.collect::<Vec<_>>();
|
||||
ComparableDocFeatures(cmp_features, search_results)
|
||||
cmp_features
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_comparable_doc_feature() -> crate::Result<()> {
|
||||
let small = ComparableDocFeature {
|
||||
let small = DocValueAndOrder {
|
||||
value: Some(1),
|
||||
order: Order::Asc,
|
||||
};
|
||||
let big = ComparableDocFeature {
|
||||
let big = DocValueAndOrder {
|
||||
value: Some(2),
|
||||
order: Order::Asc,
|
||||
};
|
||||
let none = ComparableDocFeature {
|
||||
let none = DocValueAndOrder {
|
||||
value: None,
|
||||
order: Order::Asc,
|
||||
};
|
||||
@@ -616,21 +676,21 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_comparable_doc_features() -> crate::Result<()> {
|
||||
let features_1 = ComparableDocFeatures(
|
||||
vec![ComparableDocFeature {
|
||||
let features_1 = DocSortValuesAndFields {
|
||||
sorts: vec![DocValueAndOrder {
|
||||
value: Some(1),
|
||||
order: Order::Asc,
|
||||
}],
|
||||
Default::default(),
|
||||
);
|
||||
doc_value_fields: Default::default(),
|
||||
};
|
||||
|
||||
let features_2 = ComparableDocFeatures(
|
||||
vec![ComparableDocFeature {
|
||||
let features_2 = DocSortValuesAndFields {
|
||||
sorts: vec![DocValueAndOrder {
|
||||
value: Some(2),
|
||||
order: Order::Asc,
|
||||
}],
|
||||
Default::default(),
|
||||
);
|
||||
doc_value_fields: Default::default(),
|
||||
};
|
||||
|
||||
assert!(features_1 < features_2);
|
||||
|
||||
@@ -689,39 +749,39 @@ mod tests {
|
||||
segment_ord: 0,
|
||||
doc_id: 0,
|
||||
},
|
||||
feature: ComparableDocFeatures(
|
||||
vec![ComparableDocFeature {
|
||||
feature: DocSortValuesAndFields {
|
||||
sorts: vec![DocValueAndOrder {
|
||||
value: Some(1),
|
||||
order: Order::Asc,
|
||||
}],
|
||||
Default::default(),
|
||||
),
|
||||
doc_value_fields: Default::default(),
|
||||
},
|
||||
},
|
||||
ComparableDoc {
|
||||
doc: crate::DocAddress {
|
||||
segment_ord: 0,
|
||||
doc_id: 2,
|
||||
},
|
||||
feature: ComparableDocFeatures(
|
||||
vec![ComparableDocFeature {
|
||||
feature: DocSortValuesAndFields {
|
||||
sorts: vec![DocValueAndOrder {
|
||||
value: Some(3),
|
||||
order: Order::Asc,
|
||||
}],
|
||||
Default::default(),
|
||||
),
|
||||
doc_value_fields: Default::default(),
|
||||
},
|
||||
},
|
||||
ComparableDoc {
|
||||
doc: crate::DocAddress {
|
||||
segment_ord: 0,
|
||||
doc_id: 1,
|
||||
},
|
||||
feature: ComparableDocFeatures(
|
||||
vec![ComparableDocFeature {
|
||||
feature: DocSortValuesAndFields {
|
||||
sorts: vec![DocValueAndOrder {
|
||||
value: Some(5),
|
||||
order: Order::Asc,
|
||||
}],
|
||||
Default::default(),
|
||||
),
|
||||
doc_value_fields: Default::default(),
|
||||
},
|
||||
},
|
||||
];
|
||||
|
||||
@@ -730,23 +790,23 @@ mod tests {
|
||||
collector.collect(doc.feature, doc.doc);
|
||||
}
|
||||
|
||||
let res = collector.finalize();
|
||||
let res = collector.into_final_result();
|
||||
|
||||
assert_eq!(
|
||||
res,
|
||||
super::TopHitsMetricResult {
|
||||
hits: vec![
|
||||
super::TopHitsVecEntry {
|
||||
sort: vec![docs[0].feature.0[0].value],
|
||||
search_results: Default::default(),
|
||||
sort: vec![docs[0].feature.sorts[0].value],
|
||||
doc_value_fields: Default::default(),
|
||||
},
|
||||
super::TopHitsVecEntry {
|
||||
sort: vec![docs[1].feature.0[0].value],
|
||||
search_results: Default::default(),
|
||||
sort: vec![docs[1].feature.sorts[0].value],
|
||||
doc_value_fields: Default::default(),
|
||||
},
|
||||
super::TopHitsVecEntry {
|
||||
sort: vec![docs[2].feature.0[0].value],
|
||||
search_results: Default::default(),
|
||||
sort: vec![docs[2].feature.sorts[0].value],
|
||||
doc_value_fields: Default::default(),
|
||||
},
|
||||
]
|
||||
}
|
||||
@@ -803,7 +863,7 @@ mod tests {
|
||||
{
|
||||
"sort": [common::i64_to_u64(date_2017.unix_timestamp_nanos() as i64)],
|
||||
"docvalue_fields": {
|
||||
"date": [ SchemaValue::Date(DateTime::from_utc(date_2017)) ],
|
||||
"date": [ OwnedValue::Date(DateTime::from_utc(date_2017)) ],
|
||||
"text": [ "ccc" ],
|
||||
"text2": [ "ddd" ],
|
||||
"mixed.dyn_arr": [ 3, "4" ],
|
||||
@@ -812,7 +872,7 @@ mod tests {
|
||||
{
|
||||
"sort": [common::i64_to_u64(date_2016.unix_timestamp_nanos() as i64)],
|
||||
"docvalue_fields": {
|
||||
"date": [ SchemaValue::Date(DateTime::from_utc(date_2016)) ],
|
||||
"date": [ OwnedValue::Date(DateTime::from_utc(date_2016)) ],
|
||||
"text": [ "aaa" ],
|
||||
"text2": [ "bbb" ],
|
||||
"mixed.dyn_arr": [ 6, "7" ],
|
||||
|
||||
@@ -417,7 +417,6 @@ mod tests {
|
||||
use time::OffsetDateTime;
|
||||
|
||||
use super::agg_req::Aggregations;
|
||||
use super::segment_agg_result::AggregationLimits;
|
||||
use super::*;
|
||||
use crate::indexer::NoMergePolicy;
|
||||
use crate::query::{AllQuery, TermQuery};
|
||||
|
||||
@@ -16,7 +16,7 @@ use super::metric::{
|
||||
SumAggregation,
|
||||
};
|
||||
use crate::aggregation::bucket::TermMissingAgg;
|
||||
use crate::aggregation::metric::SegmentTopHitsCollector;
|
||||
use crate::aggregation::metric::TopHitsSegmentCollector;
|
||||
|
||||
pub(crate) trait SegmentAggregationCollector: CollectorClone + Debug {
|
||||
fn add_intermediate_aggregation_result(
|
||||
@@ -161,7 +161,7 @@ pub(crate) fn build_single_agg_segment_collector(
|
||||
accessor_idx,
|
||||
)?,
|
||||
)),
|
||||
TopHits(top_hits_req) => Ok(Box::new(SegmentTopHitsCollector::from_req(
|
||||
TopHits(top_hits_req) => Ok(Box::new(TopHitsSegmentCollector::from_req(
|
||||
top_hits_req,
|
||||
accessor_idx,
|
||||
req.segment_ordinal,
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::{btree_map, BTreeMap, BTreeSet, BinaryHeap};
|
||||
use std::io;
|
||||
use std::ops::Bound;
|
||||
use std::{io, u64, usize};
|
||||
|
||||
use crate::collector::{Collector, SegmentCollector};
|
||||
use crate::fastfield::FacetReader;
|
||||
|
||||
@@ -160,7 +160,7 @@ mod tests {
|
||||
use super::{add_vecs, HistogramCollector, HistogramComputer};
|
||||
use crate::schema::{Schema, FAST};
|
||||
use crate::time::{Date, Month};
|
||||
use crate::{doc, query, DateTime, Index};
|
||||
use crate::{query, DateTime, Index};
|
||||
|
||||
#[test]
|
||||
fn test_add_histograms_simple() {
|
||||
|
||||
@@ -274,6 +274,10 @@ pub trait SegmentCollector: 'static {
|
||||
fn collect(&mut self, doc: DocId, score: Score);
|
||||
|
||||
/// The query pushes the scored document to the collector via this method.
|
||||
/// This method is used when the collector does not require scoring.
|
||||
///
|
||||
/// See [`COLLECT_BLOCK_BUFFER_LEN`](crate::COLLECT_BLOCK_BUFFER_LEN) for the
|
||||
/// buffer size passed to the collector.
|
||||
fn collect_block(&mut self, docs: &[DocId]) {
|
||||
for doc in docs {
|
||||
self.collect(*doc, 0.0);
|
||||
|
||||
@@ -52,10 +52,16 @@ impl<TCollector: Collector> Collector for CollectorWrapper<TCollector> {
|
||||
impl SegmentCollector for Box<dyn BoxableSegmentCollector> {
|
||||
type Fruit = Box<dyn Fruit>;
|
||||
|
||||
#[inline]
|
||||
fn collect(&mut self, doc: u32, score: Score) {
|
||||
self.as_mut().collect(doc, score);
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn collect_block(&mut self, docs: &[DocId]) {
|
||||
self.as_mut().collect_block(docs);
|
||||
}
|
||||
|
||||
fn harvest(self) -> Box<dyn Fruit> {
|
||||
BoxableSegmentCollector::harvest_from_box(self)
|
||||
}
|
||||
@@ -63,6 +69,11 @@ impl SegmentCollector for Box<dyn BoxableSegmentCollector> {
|
||||
|
||||
pub trait BoxableSegmentCollector {
|
||||
fn collect(&mut self, doc: u32, score: Score);
|
||||
fn collect_block(&mut self, docs: &[DocId]) {
|
||||
for &doc in docs {
|
||||
self.collect(doc, 0.0);
|
||||
}
|
||||
}
|
||||
fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit>;
|
||||
}
|
||||
|
||||
@@ -71,9 +82,14 @@ pub struct SegmentCollectorWrapper<TSegmentCollector: SegmentCollector>(TSegment
|
||||
impl<TSegmentCollector: SegmentCollector> BoxableSegmentCollector
|
||||
for SegmentCollectorWrapper<TSegmentCollector>
|
||||
{
|
||||
#[inline]
|
||||
fn collect(&mut self, doc: u32, score: Score) {
|
||||
self.0.collect(doc, score);
|
||||
}
|
||||
#[inline]
|
||||
fn collect_block(&mut self, docs: &[DocId]) {
|
||||
self.0.collect_block(docs);
|
||||
}
|
||||
|
||||
fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit> {
|
||||
Box::new(self.0.harvest())
|
||||
|
||||
@@ -1,15 +1,11 @@
|
||||
use columnar::{BytesColumn, Column};
|
||||
|
||||
use super::*;
|
||||
use crate::collector::{Count, FilterCollector, TopDocs};
|
||||
use crate::index::SegmentReader;
|
||||
use crate::query::{AllQuery, QueryParser};
|
||||
use crate::schema::{Schema, FAST, TEXT};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
use crate::time::OffsetDateTime;
|
||||
use crate::{
|
||||
doc, DateTime, DocAddress, DocId, Index, Score, Searcher, SegmentOrdinal, TantivyDocument,
|
||||
};
|
||||
use crate::{DateTime, DocAddress, Index, Searcher, TantivyDocument};
|
||||
|
||||
pub const TEST_COLLECTOR_WITH_SCORE: TestCollector = TestCollector {
|
||||
compute_score: true,
|
||||
|
||||
@@ -732,6 +732,19 @@ pub struct TopNComputer<Score, D, const REVERSE_ORDER: bool = true> {
|
||||
top_n: usize,
|
||||
pub(crate) threshold: Option<Score>,
|
||||
}
|
||||
|
||||
impl<Score: std::fmt::Debug, D, const REVERSE_ORDER: bool> std::fmt::Debug
|
||||
for TopNComputer<Score, D, REVERSE_ORDER>
|
||||
{
|
||||
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
f.debug_struct("TopNComputer")
|
||||
.field("buffer_len", &self.buffer.len())
|
||||
.field("top_n", &self.top_n)
|
||||
.field("current_threshold", &self.threshold)
|
||||
.finish()
|
||||
}
|
||||
}
|
||||
|
||||
// Intermediate struct for TopNComputer for deserialization, to keep vec capacity
|
||||
#[derive(Deserialize)]
|
||||
struct TopNComputerDeser<Score, D, const REVERSE_ORDER: bool> {
|
||||
|
||||
@@ -1,12 +1,11 @@
|
||||
use columnar::MonotonicallyMappableToU64;
|
||||
use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
|
||||
use common::{replace_in_place, JsonPathWriter};
|
||||
use rustc_hash::FxHashMap;
|
||||
|
||||
use crate::fastfield::FastValue;
|
||||
use crate::postings::{IndexingContext, IndexingPosition, PostingsWriter};
|
||||
use crate::schema::document::{ReferenceValue, ReferenceValueLeaf, Value};
|
||||
use crate::schema::term::JSON_PATH_SEGMENT_SEP;
|
||||
use crate::schema::{Field, Type, DATE_TIME_PRECISION_INDEXED};
|
||||
use crate::schema::indexing_term::IndexingTerm;
|
||||
use crate::schema::{Field, Type};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
use crate::time::{OffsetDateTime, UtcOffset};
|
||||
use crate::tokenizer::TextAnalyzer;
|
||||
@@ -76,7 +75,7 @@ pub(crate) fn index_json_values<'a, V: Value<'a>>(
|
||||
json_visitors: impl Iterator<Item = crate::Result<V::ObjectIter>>,
|
||||
text_analyzer: &mut TextAnalyzer,
|
||||
expand_dots_enabled: bool,
|
||||
term_buffer: &mut Term,
|
||||
term_buffer: &mut IndexingTerm,
|
||||
postings_writer: &mut dyn PostingsWriter,
|
||||
json_path_writer: &mut JsonPathWriter,
|
||||
ctx: &mut IndexingContext,
|
||||
@@ -105,7 +104,7 @@ fn index_json_object<'a, V: Value<'a>>(
|
||||
doc: DocId,
|
||||
json_visitor: V::ObjectIter,
|
||||
text_analyzer: &mut TextAnalyzer,
|
||||
term_buffer: &mut Term,
|
||||
term_buffer: &mut IndexingTerm,
|
||||
json_path_writer: &mut JsonPathWriter,
|
||||
postings_writer: &mut dyn PostingsWriter,
|
||||
ctx: &mut IndexingContext,
|
||||
@@ -132,19 +131,16 @@ fn index_json_value<'a, V: Value<'a>>(
|
||||
doc: DocId,
|
||||
json_value: V,
|
||||
text_analyzer: &mut TextAnalyzer,
|
||||
term_buffer: &mut Term,
|
||||
term_buffer: &mut IndexingTerm,
|
||||
json_path_writer: &mut JsonPathWriter,
|
||||
postings_writer: &mut dyn PostingsWriter,
|
||||
ctx: &mut IndexingContext,
|
||||
positions_per_path: &mut IndexingPositionsPerPath,
|
||||
) {
|
||||
let set_path_id = |term_buffer: &mut Term, unordered_id: u32| {
|
||||
let set_path_id = |term_buffer: &mut IndexingTerm, unordered_id: u32| {
|
||||
term_buffer.truncate_value_bytes(0);
|
||||
term_buffer.append_bytes(&unordered_id.to_be_bytes());
|
||||
};
|
||||
let set_type = |term_buffer: &mut Term, typ: Type| {
|
||||
term_buffer.append_bytes(&[typ.to_code()]);
|
||||
};
|
||||
|
||||
match json_value.as_value() {
|
||||
ReferenceValue::Leaf(leaf) => match leaf {
|
||||
@@ -157,7 +153,7 @@ fn index_json_value<'a, V: Value<'a>>(
|
||||
|
||||
// TODO: make sure the chain position works out.
|
||||
set_path_id(term_buffer, unordered_id);
|
||||
set_type(term_buffer, Type::Str);
|
||||
term_buffer.append_bytes(&[Type::Str.to_code()]);
|
||||
let indexing_position = positions_per_path.get_position_from_id(unordered_id);
|
||||
postings_writer.index_text(
|
||||
doc,
|
||||
@@ -213,18 +209,16 @@ fn index_json_value<'a, V: Value<'a>>(
|
||||
postings_writer.subscribe(doc, 0u32, term_buffer, ctx);
|
||||
}
|
||||
ReferenceValueLeaf::PreTokStr(_) => {
|
||||
unimplemented!(
|
||||
"Pre-tokenized string support in dynamic fields is not yet implemented"
|
||||
)
|
||||
unimplemented!("Pre-tokenized string support in JSON fields is not yet implemented")
|
||||
}
|
||||
ReferenceValueLeaf::Bytes(_) => {
|
||||
unimplemented!("Bytes support in dynamic fields is not yet implemented")
|
||||
unimplemented!("Bytes support in JSON fields is not yet implemented")
|
||||
}
|
||||
ReferenceValueLeaf::Facet(_) => {
|
||||
unimplemented!("Facet support in dynamic fields is not yet implemented")
|
||||
unimplemented!("Facet support in JSON fields is not yet implemented")
|
||||
}
|
||||
ReferenceValueLeaf::IpAddr(_) => {
|
||||
unimplemented!("IP address support in dynamic fields is not yet implemented")
|
||||
unimplemented!("IP address support in JSON fields is not yet implemented")
|
||||
}
|
||||
},
|
||||
ReferenceValue::Array(elements) => {
|
||||
@@ -256,71 +250,43 @@ fn index_json_value<'a, V: Value<'a>>(
|
||||
}
|
||||
}
|
||||
|
||||
// Tries to infer a JSON type from a string.
|
||||
pub fn convert_to_fast_value_and_get_term(
|
||||
json_term_writer: &mut JsonTermWriter,
|
||||
phrase: &str,
|
||||
) -> Option<Term> {
|
||||
/// Tries to infer a JSON type from a string and append it to the term.
|
||||
///
|
||||
/// The term must be json + JSON path.
|
||||
pub fn convert_to_fast_value_and_append_to_json_term(mut term: Term, phrase: &str) -> Option<Term> {
|
||||
assert_eq!(
|
||||
term.value()
|
||||
.as_json()
|
||||
.expect("expecting a Term with a json type and json path")
|
||||
.1
|
||||
.as_serialized()
|
||||
.len(),
|
||||
0,
|
||||
"JSON value bytes should be empty"
|
||||
);
|
||||
if let Ok(dt) = OffsetDateTime::parse(phrase, &Rfc3339) {
|
||||
let dt_utc = dt.to_offset(UtcOffset::UTC);
|
||||
return Some(set_fastvalue_and_get_term(
|
||||
json_term_writer,
|
||||
DateTime::from_utc(dt_utc),
|
||||
));
|
||||
term.append_type_and_fast_value(DateTime::from_utc(dt_utc));
|
||||
return Some(term);
|
||||
}
|
||||
if let Ok(i64_val) = str::parse::<i64>(phrase) {
|
||||
return Some(set_fastvalue_and_get_term(json_term_writer, i64_val));
|
||||
term.append_type_and_fast_value(i64_val);
|
||||
return Some(term);
|
||||
}
|
||||
if let Ok(u64_val) = str::parse::<u64>(phrase) {
|
||||
return Some(set_fastvalue_and_get_term(json_term_writer, u64_val));
|
||||
term.append_type_and_fast_value(u64_val);
|
||||
return Some(term);
|
||||
}
|
||||
if let Ok(f64_val) = str::parse::<f64>(phrase) {
|
||||
return Some(set_fastvalue_and_get_term(json_term_writer, f64_val));
|
||||
term.append_type_and_fast_value(f64_val);
|
||||
return Some(term);
|
||||
}
|
||||
if let Ok(bool_val) = str::parse::<bool>(phrase) {
|
||||
return Some(set_fastvalue_and_get_term(json_term_writer, bool_val));
|
||||
term.append_type_and_fast_value(bool_val);
|
||||
return Some(term);
|
||||
}
|
||||
None
|
||||
}
|
||||
// helper function to generate a Term from a json fastvalue
|
||||
pub(crate) fn set_fastvalue_and_get_term<T: FastValue>(
|
||||
json_term_writer: &mut JsonTermWriter,
|
||||
value: T,
|
||||
) -> Term {
|
||||
json_term_writer.set_fast_value(value);
|
||||
json_term_writer.term().clone()
|
||||
}
|
||||
|
||||
// helper function to generate a list of terms with their positions from a textual json value
|
||||
pub(crate) fn set_string_and_get_terms(
|
||||
json_term_writer: &mut JsonTermWriter,
|
||||
value: &str,
|
||||
text_analyzer: &mut TextAnalyzer,
|
||||
) -> Vec<(usize, Term)> {
|
||||
let mut positions_and_terms = Vec::<(usize, Term)>::new();
|
||||
json_term_writer.close_path_and_set_type(Type::Str);
|
||||
let term_num_bytes = json_term_writer.term_buffer.len_bytes();
|
||||
let mut token_stream = text_analyzer.token_stream(value);
|
||||
token_stream.process(&mut |token| {
|
||||
json_term_writer
|
||||
.term_buffer
|
||||
.truncate_value_bytes(term_num_bytes);
|
||||
json_term_writer
|
||||
.term_buffer
|
||||
.append_bytes(token.text.as_bytes());
|
||||
positions_and_terms.push((token.position, json_term_writer.term().clone()));
|
||||
});
|
||||
positions_and_terms
|
||||
}
|
||||
|
||||
/// Writes a value of a JSON field to a `Term`.
|
||||
/// The Term format is as follows:
|
||||
/// `[JSON_TYPE][JSON_PATH][JSON_END_OF_PATH][VALUE_BYTES]`
|
||||
pub struct JsonTermWriter<'a> {
|
||||
term_buffer: &'a mut Term,
|
||||
path_stack: Vec<usize>,
|
||||
expand_dots_enabled: bool,
|
||||
}
|
||||
|
||||
/// Splits a json path supplied to the query parser in such a way that
|
||||
/// `.` can be escaped.
|
||||
@@ -377,275 +343,106 @@ pub(crate) fn encode_column_name(
|
||||
path.into()
|
||||
}
|
||||
|
||||
impl<'a> JsonTermWriter<'a> {
|
||||
pub fn from_field_and_json_path(
|
||||
field: Field,
|
||||
json_path: &str,
|
||||
expand_dots_enabled: bool,
|
||||
term_buffer: &'a mut Term,
|
||||
) -> Self {
|
||||
term_buffer.set_field_and_type(field, Type::Json);
|
||||
let mut json_term_writer = Self::wrap(term_buffer, expand_dots_enabled);
|
||||
for segment in split_json_path(json_path) {
|
||||
json_term_writer.push_path_segment(&segment);
|
||||
}
|
||||
json_term_writer
|
||||
pub fn term_from_json_paths<'a>(
|
||||
json_field: Field,
|
||||
paths: impl Iterator<Item = &'a str>,
|
||||
expand_dots_enabled: bool,
|
||||
) -> Term {
|
||||
let mut json_path = JsonPathWriter::with_expand_dots(expand_dots_enabled);
|
||||
for path in paths {
|
||||
json_path.push(path);
|
||||
}
|
||||
json_path.set_end();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
|
||||
pub fn wrap(term_buffer: &'a mut Term, expand_dots_enabled: bool) -> Self {
|
||||
term_buffer.clear_with_type(Type::Json);
|
||||
let mut path_stack = Vec::with_capacity(10);
|
||||
path_stack.push(0);
|
||||
Self {
|
||||
term_buffer,
|
||||
path_stack,
|
||||
expand_dots_enabled,
|
||||
}
|
||||
}
|
||||
|
||||
fn trim_to_end_of_path(&mut self) {
|
||||
let end_of_path = *self.path_stack.last().unwrap();
|
||||
self.term_buffer.truncate_value_bytes(end_of_path);
|
||||
}
|
||||
|
||||
pub fn close_path_and_set_type(&mut self, typ: Type) {
|
||||
self.trim_to_end_of_path();
|
||||
self.term_buffer.set_json_path_end();
|
||||
self.term_buffer.append_bytes(&[typ.to_code()]);
|
||||
}
|
||||
|
||||
// TODO: Remove this function and use JsonPathWriter instead.
|
||||
pub fn push_path_segment(&mut self, segment: &str) {
|
||||
// the path stack should never be empty.
|
||||
self.trim_to_end_of_path();
|
||||
|
||||
if self.path_stack.len() > 1 {
|
||||
self.term_buffer.set_json_path_separator();
|
||||
}
|
||||
let appended_segment = self.term_buffer.append_bytes(segment.as_bytes());
|
||||
if self.expand_dots_enabled {
|
||||
// We need to replace `.` by JSON_PATH_SEGMENT_SEP.
|
||||
replace_in_place(b'.', JSON_PATH_SEGMENT_SEP, appended_segment);
|
||||
}
|
||||
self.term_buffer.add_json_path_separator();
|
||||
self.path_stack.push(self.term_buffer.len_bytes());
|
||||
}
|
||||
|
||||
pub fn pop_path_segment(&mut self) {
|
||||
self.path_stack.pop();
|
||||
assert!(!self.path_stack.is_empty());
|
||||
self.trim_to_end_of_path();
|
||||
}
|
||||
|
||||
/// Returns the json path of the term being currently built.
|
||||
#[cfg(test)]
|
||||
pub(crate) fn path(&self) -> &[u8] {
|
||||
let end_of_path = self.path_stack.last().cloned().unwrap_or(1);
|
||||
&self.term().serialized_value_bytes()[..end_of_path - 1]
|
||||
}
|
||||
|
||||
pub(crate) fn set_fast_value<T: FastValue>(&mut self, val: T) {
|
||||
self.close_path_and_set_type(T::to_type());
|
||||
let value = if T::to_type() == Type::Date {
|
||||
DateTime::from_u64(val.to_u64())
|
||||
.truncate(DATE_TIME_PRECISION_INDEXED)
|
||||
.to_u64()
|
||||
} else {
|
||||
val.to_u64()
|
||||
};
|
||||
self.term_buffer
|
||||
.append_bytes(value.to_be_bytes().as_slice());
|
||||
}
|
||||
|
||||
pub fn set_str(&mut self, text: &str) {
|
||||
self.close_path_and_set_type(Type::Str);
|
||||
self.term_buffer.append_bytes(text.as_bytes());
|
||||
}
|
||||
|
||||
pub fn term(&self) -> &Term {
|
||||
self.term_buffer
|
||||
}
|
||||
term.append_bytes(json_path.as_str().as_bytes());
|
||||
term
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::{split_json_path, JsonTermWriter};
|
||||
use crate::schema::{Field, Type};
|
||||
use crate::Term;
|
||||
use super::split_json_path;
|
||||
use crate::json_utils::term_from_json_paths;
|
||||
use crate::schema::Field;
|
||||
|
||||
#[test]
|
||||
fn test_json_writer() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("attributes");
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_str("red");
|
||||
|
||||
let mut term = term_from_json_paths(field, ["attributes", "color"].into_iter(), false);
|
||||
term.append_type_and_str("red");
|
||||
assert_eq!(
|
||||
format!("{:?}", json_writer.term()),
|
||||
format!("{:?}", term),
|
||||
"Term(field=1, type=Json, path=attributes.color, type=Str, \"red\")"
|
||||
);
|
||||
json_writer.set_str("blue");
|
||||
assert_eq!(
|
||||
format!("{:?}", json_writer.term()),
|
||||
"Term(field=1, type=Json, path=attributes.color, type=Str, \"blue\")"
|
||||
|
||||
let mut term = term_from_json_paths(
|
||||
field,
|
||||
["attributes", "dimensions", "width"].into_iter(),
|
||||
false,
|
||||
);
|
||||
json_writer.pop_path_segment();
|
||||
json_writer.push_path_segment("dimensions");
|
||||
json_writer.push_path_segment("width");
|
||||
json_writer.set_fast_value(400i64);
|
||||
term.append_type_and_fast_value(400i64);
|
||||
assert_eq!(
|
||||
format!("{:?}", json_writer.term()),
|
||||
format!("{:?}", term),
|
||||
"Term(field=1, type=Json, path=attributes.dimensions.width, type=I64, 400)"
|
||||
);
|
||||
json_writer.pop_path_segment();
|
||||
json_writer.push_path_segment("height");
|
||||
json_writer.set_fast_value(300i64);
|
||||
assert_eq!(
|
||||
format!("{:?}", json_writer.term()),
|
||||
"Term(field=1, type=Json, path=attributes.dimensions.height, type=I64, 300)"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_string_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_str("red");
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jcolor\x00sred"
|
||||
)
|
||||
let mut term = term_from_json_paths(field, ["color"].into_iter(), false);
|
||||
term.append_type_and_str("red");
|
||||
|
||||
assert_eq!(term.serialized_term(), b"\x00\x00\x00\x01jcolor\x00sred")
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_i64_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(-4i64);
|
||||
let mut term = term_from_json_paths(field, ["color"].into_iter(), false);
|
||||
term.append_type_and_fast_value(-4i64);
|
||||
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jcolor\x00i\x7f\xff\xff\xff\xff\xff\xff\xfc"
|
||||
term.value().as_serialized(),
|
||||
b"jcolor\x00i\x7f\xff\xff\xff\xff\xff\xff\xfc"
|
||||
)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_u64_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(4u64);
|
||||
let mut term = term_from_json_paths(field, ["color"].into_iter(), false);
|
||||
term.append_type_and_fast_value(4u64);
|
||||
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jcolor\x00u\x00\x00\x00\x00\x00\x00\x00\x04"
|
||||
term.value().as_serialized(),
|
||||
b"jcolor\x00u\x00\x00\x00\x00\x00\x00\x00\x04"
|
||||
)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_f64_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(4.0f64);
|
||||
let mut term = term_from_json_paths(field, ["color"].into_iter(), false);
|
||||
term.append_type_and_fast_value(4.0f64);
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jcolor\x00f\xc0\x10\x00\x00\x00\x00\x00\x00"
|
||||
term.value().as_serialized(),
|
||||
b"jcolor\x00f\xc0\x10\x00\x00\x00\x00\x00\x00"
|
||||
)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_bool_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(true);
|
||||
let mut term = term_from_json_paths(field, ["color"].into_iter(), false);
|
||||
term.append_type_and_fast_value(true);
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jcolor\x00o\x00\x00\x00\x00\x00\x00\x00\x01"
|
||||
term.value().as_serialized(),
|
||||
b"jcolor\x00o\x00\x00\x00\x00\x00\x00\x00\x01"
|
||||
)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_push_after_set_path_segment() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("attribute");
|
||||
json_writer.set_str("something");
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_str("red");
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jattribute\x01color\x00sred"
|
||||
)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_pop_segment() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.push_path_segment("hue");
|
||||
json_writer.pop_path_segment();
|
||||
json_writer.set_str("red");
|
||||
assert_eq!(
|
||||
json_writer.term().serialized_term(),
|
||||
b"\x00\x00\x00\x01jcolor\x00sred"
|
||||
)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_writer_path() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
assert_eq!(json_writer.path(), b"color");
|
||||
json_writer.push_path_segment("hue");
|
||||
assert_eq!(json_writer.path(), b"color\x01hue");
|
||||
json_writer.set_str("pink");
|
||||
assert_eq!(json_writer.path(), b"color\x01hue");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_disabled() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color.hue");
|
||||
assert_eq!(json_writer.path(), b"color.hue");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_enabled() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, true);
|
||||
json_writer.push_path_segment("color.hue");
|
||||
assert_eq!(json_writer.path(), b"color\x01hue");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_enabled_pop_segment() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, true);
|
||||
json_writer.push_path_segment("hello");
|
||||
assert_eq!(json_writer.path(), b"hello");
|
||||
json_writer.push_path_segment("color.hue");
|
||||
assert_eq!(json_writer.path(), b"hello\x01color\x01hue");
|
||||
json_writer.pop_path_segment();
|
||||
assert_eq!(json_writer.path(), b"hello");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_simple() {
|
||||
let json_path = split_json_path("titi.toto");
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
use crate::collector::Count;
|
||||
use crate::directory::{RamDirectory, WatchCallback};
|
||||
use crate::indexer::{LogMergePolicy, NoMergePolicy};
|
||||
use crate::json_utils::JsonTermWriter;
|
||||
use crate::json_utils::term_from_json_paths;
|
||||
use crate::query::TermQuery;
|
||||
use crate::schema::{Field, IndexRecordOption, Schema, Type, INDEXED, STRING, TEXT};
|
||||
use crate::schema::{Field, IndexRecordOption, Schema, INDEXED, STRING, TEXT};
|
||||
use crate::tokenizer::TokenizerManager;
|
||||
use crate::{
|
||||
Directory, DocSet, Index, IndexBuilder, IndexReader, IndexSettings, IndexWriter, Postings,
|
||||
@@ -137,7 +137,6 @@ mod mmap_specific {
|
||||
use tempfile::TempDir;
|
||||
|
||||
use super::*;
|
||||
use crate::Directory;
|
||||
|
||||
#[test]
|
||||
fn test_index_on_commit_reload_policy_mmap() -> crate::Result<()> {
|
||||
@@ -417,16 +416,12 @@ fn test_non_text_json_term_freq() {
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let inv_idx = segment_reader.inverted_index(field).unwrap();
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("tenant_id");
|
||||
json_term_writer.close_path_and_set_type(Type::U64);
|
||||
json_term_writer.set_fast_value(75u64);
|
||||
|
||||
let mut term = term_from_json_paths(field, ["tenant_id"].iter().cloned(), false);
|
||||
term.append_type_and_fast_value(75u64);
|
||||
|
||||
let postings = inv_idx
|
||||
.read_postings(
|
||||
json_term_writer.term(),
|
||||
IndexRecordOption::WithFreqsAndPositions,
|
||||
)
|
||||
.read_postings(&term, IndexRecordOption::WithFreqsAndPositions)
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0);
|
||||
@@ -455,16 +450,12 @@ fn test_non_text_json_term_freq_bitpacked() {
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let inv_idx = segment_reader.inverted_index(field).unwrap();
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("tenant_id");
|
||||
json_term_writer.close_path_and_set_type(Type::U64);
|
||||
json_term_writer.set_fast_value(75u64);
|
||||
|
||||
let mut term = term_from_json_paths(field, ["tenant_id"].iter().cloned(), false);
|
||||
term.append_type_and_fast_value(75u64);
|
||||
|
||||
let mut postings = inv_idx
|
||||
.read_postings(
|
||||
json_term_writer.term(),
|
||||
IndexRecordOption::WithFreqsAndPositions,
|
||||
)
|
||||
.read_postings(&term, IndexRecordOption::WithFreqsAndPositions)
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0);
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
use std::collections::HashMap;
|
||||
use std::io::{self, Read, Write};
|
||||
use std::iter::ExactSizeIterator;
|
||||
use std::ops::Range;
|
||||
|
||||
use common::{BinarySerializable, CountingWriter, HasLen, VInt};
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
use std::io::Write;
|
||||
use std::marker::{Send, Sync};
|
||||
use std::path::{Path, PathBuf};
|
||||
use std::sync::Arc;
|
||||
use std::time::Duration;
|
||||
@@ -40,6 +39,7 @@ impl RetryPolicy {
|
||||
/// The `DirectoryLock` is an object that represents a file lock.
|
||||
///
|
||||
/// It is associated with a lock file, that gets deleted on `Drop.`
|
||||
#[allow(dead_code)]
|
||||
pub struct DirectoryLock(Box<dyn Send + Sync + 'static>);
|
||||
|
||||
struct DirectoryLockGuard {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use std::io::Write;
|
||||
use std::mem;
|
||||
use std::path::{Path, PathBuf};
|
||||
use std::path::Path;
|
||||
use std::sync::atomic::Ordering::SeqCst;
|
||||
use std::sync::atomic::{AtomicBool, AtomicUsize};
|
||||
use std::sync::Arc;
|
||||
|
||||
@@ -32,6 +32,7 @@ pub struct WatchCallbackList {
|
||||
/// file change is detected.
|
||||
#[must_use = "This `WatchHandle` controls the lifetime of the watch and should therefore be used."]
|
||||
#[derive(Clone)]
|
||||
#[allow(dead_code)]
|
||||
pub struct WatchHandle(Arc<WatchCallback>);
|
||||
|
||||
impl WatchHandle {
|
||||
|
||||
@@ -9,7 +9,10 @@ use crate::DocId;
|
||||
/// to compare `[u32; 4]`.
|
||||
pub const TERMINATED: DocId = i32::MAX as u32;
|
||||
|
||||
pub const BUFFER_LEN: usize = 64;
|
||||
/// The collect_block method on `SegmentCollector` uses a buffer of this size.
|
||||
/// Passed results to `collect_block` will not exceed this size and will be
|
||||
/// exactly this size as long as we can fill the buffer.
|
||||
pub const COLLECT_BLOCK_BUFFER_LEN: usize = 64;
|
||||
|
||||
/// Represents an iterable set of sorted doc ids.
|
||||
pub trait DocSet: Send {
|
||||
@@ -61,7 +64,7 @@ pub trait DocSet: Send {
|
||||
/// This method is only here for specific high-performance
|
||||
/// use case where batching. The normal way to
|
||||
/// go through the `DocId`'s is to call `.advance()`.
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; BUFFER_LEN]) -> usize {
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN]) -> usize {
|
||||
if self.doc() == TERMINATED {
|
||||
return 0;
|
||||
}
|
||||
@@ -151,7 +154,7 @@ impl<TDocSet: DocSet + ?Sized> DocSet for Box<TDocSet> {
|
||||
unboxed.seek(target)
|
||||
}
|
||||
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; BUFFER_LEN]) -> usize {
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN]) -> usize {
|
||||
let unboxed: &mut TDocSet = self.borrow_mut();
|
||||
unboxed.fill_buffer(buffer)
|
||||
}
|
||||
|
||||
@@ -79,7 +79,7 @@ mod tests {
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
use std::path::Path;
|
||||
|
||||
use columnar::{Column, MonotonicallyMappableToU64, StrColumn};
|
||||
use columnar::StrColumn;
|
||||
use common::{ByteCount, HasLen, TerminatingWrite};
|
||||
use once_cell::sync::Lazy;
|
||||
use rand::prelude::SliceRandom;
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
#![allow(deprecated)] // Remove with index sorting
|
||||
|
||||
use std::collections::HashSet;
|
||||
|
||||
use rand::{thread_rng, Rng};
|
||||
|
||||
@@ -20,7 +20,7 @@ use crate::indexer::segment_updater::save_metas;
|
||||
use crate::indexer::{IndexWriter, SingleSegmentIndexWriter};
|
||||
use crate::reader::{IndexReader, IndexReaderBuilder};
|
||||
use crate::schema::document::Document;
|
||||
use crate::schema::{Field, FieldType, Schema};
|
||||
use crate::schema::{Field, FieldType, Schema, Type};
|
||||
use crate::tokenizer::{TextAnalyzer, TokenizerManager};
|
||||
use crate::SegmentReader;
|
||||
|
||||
@@ -83,7 +83,7 @@ fn save_new_metas(
|
||||
///
|
||||
/// ```
|
||||
/// use tantivy::schema::*;
|
||||
/// use tantivy::{Index, IndexSettings, IndexSortByField, Order};
|
||||
/// use tantivy::{Index, IndexSettings};
|
||||
///
|
||||
/// let mut schema_builder = Schema::builder();
|
||||
/// let id_field = schema_builder.add_text_field("id", STRING);
|
||||
@@ -96,10 +96,7 @@ fn save_new_metas(
|
||||
///
|
||||
/// let schema = schema_builder.build();
|
||||
/// let settings = IndexSettings{
|
||||
/// sort_by_field: Some(IndexSortByField{
|
||||
/// field: "number".to_string(),
|
||||
/// order: Order::Asc
|
||||
/// }),
|
||||
/// docstore_blocksize: 100_000,
|
||||
/// ..Default::default()
|
||||
/// };
|
||||
/// let index = Index::builder().schema(schema).settings(settings).create_in_ram();
|
||||
@@ -251,6 +248,15 @@ impl IndexBuilder {
|
||||
sort_by_field.field
|
||||
)));
|
||||
}
|
||||
let supported_field_types = [Type::I64, Type::U64, Type::F64, Type::Date];
|
||||
let field_type = entry.field_type().value_type();
|
||||
if !supported_field_types.contains(&field_type) {
|
||||
return Err(TantivyError::InvalidArgument(format!(
|
||||
"Unsupported field type in sort_by_field: {:?}. Supported field types: \
|
||||
{:?} ",
|
||||
field_type, supported_field_types,
|
||||
)));
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
} else {
|
||||
|
||||
@@ -288,6 +288,10 @@ impl Default for IndexSettings {
|
||||
/// Presorting documents can greatly improve performance
|
||||
/// in some scenarios, by applying top n
|
||||
/// optimizations.
|
||||
#[deprecated(
|
||||
since = "0.22.0",
|
||||
note = "We plan to remove index sorting in `0.23`. If you need index sorting, please comment on the related issue https://github.com/quickwit-oss/tantivy/issues/2352 and explain your use case."
|
||||
)]
|
||||
#[derive(Clone, Debug, Serialize, Deserialize, Eq, PartialEq)]
|
||||
pub struct IndexSortByField {
|
||||
/// The field to sort the documents by
|
||||
|
||||
@@ -1,12 +1,13 @@
|
||||
use std::io;
|
||||
|
||||
use common::json_path_writer::JSON_END_OF_PATH;
|
||||
use common::BinarySerializable;
|
||||
use fnv::FnvHashSet;
|
||||
|
||||
use crate::directory::FileSlice;
|
||||
use crate::positions::PositionReader;
|
||||
use crate::postings::{BlockSegmentPostings, SegmentPostings, TermInfo};
|
||||
use crate::schema::{IndexRecordOption, Term, Type, JSON_END_OF_PATH};
|
||||
use crate::schema::{IndexRecordOption, Term, Type};
|
||||
use crate::termdict::TermDictionary;
|
||||
|
||||
/// The inverted index reader is in charge of accessing
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use std::cmp::{Ord, Ordering};
|
||||
use std::cmp::Ordering;
|
||||
use std::error::Error;
|
||||
use std::fmt;
|
||||
use std::str::FromStr;
|
||||
|
||||
@@ -406,7 +406,7 @@ impl SegmentReader {
|
||||
}
|
||||
|
||||
/// Returns an iterator that will iterate over the alive document ids
|
||||
pub fn doc_ids_alive(&self) -> Box<dyn Iterator<Item = DocId> + '_> {
|
||||
pub fn doc_ids_alive(&self) -> Box<dyn Iterator<Item = DocId> + Send + '_> {
|
||||
if let Some(alive_bitset) = &self.alive_bitset_opt {
|
||||
Box::new(alive_bitset.iter_alive())
|
||||
} else {
|
||||
@@ -516,8 +516,8 @@ impl fmt::Debug for SegmentReader {
|
||||
mod test {
|
||||
use super::*;
|
||||
use crate::index::Index;
|
||||
use crate::schema::{Schema, SchemaBuilder, Term, STORED, TEXT};
|
||||
use crate::{DocId, IndexWriter};
|
||||
use crate::schema::{SchemaBuilder, Term, STORED, TEXT};
|
||||
use crate::IndexWriter;
|
||||
|
||||
#[test]
|
||||
fn test_merge_field_meta_data_same() {
|
||||
|
||||
@@ -158,9 +158,8 @@ mod tests_indexsorting {
|
||||
use crate::indexer::doc_id_mapping::DocIdMapping;
|
||||
use crate::indexer::NoMergePolicy;
|
||||
use crate::query::QueryParser;
|
||||
use crate::schema::document::Value;
|
||||
use crate::schema::{Schema, *};
|
||||
use crate::{DocAddress, Index, IndexSettings, IndexSortByField, Order};
|
||||
use crate::schema::*;
|
||||
use crate::{DocAddress, Index, IndexBuilder, IndexSettings, IndexSortByField, Order};
|
||||
|
||||
fn create_test_index(
|
||||
index_settings: Option<IndexSettings>,
|
||||
@@ -558,4 +557,28 @@ mod tests_indexsorting {
|
||||
&[2000, 8000, 3000]
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_text_sort() -> crate::Result<()> {
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
schema_builder.add_text_field("id", STRING | FAST | STORED);
|
||||
schema_builder.add_text_field("name", TEXT | STORED);
|
||||
|
||||
let resp = IndexBuilder::new()
|
||||
.schema(schema_builder.build())
|
||||
.settings(IndexSettings {
|
||||
sort_by_field: Some(IndexSortByField {
|
||||
field: "id".to_string(),
|
||||
order: Order::Asc,
|
||||
}),
|
||||
..Default::default()
|
||||
})
|
||||
.create_in_ram();
|
||||
assert!(resp
|
||||
.unwrap_err()
|
||||
.to_string()
|
||||
.contains("Unsupported field type"));
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -22,6 +22,7 @@ where
|
||||
}
|
||||
}
|
||||
|
||||
#[allow(dead_code)]
|
||||
pub trait FlatMapWithBufferIter: Iterator {
|
||||
/// Function similar to `flat_map`, but allows reusing a shared `Vec`.
|
||||
fn flat_map_with_buffer<F, T>(self, fill_buffer: F) -> FlatMapWithBuffer<T, F, Self>
|
||||
|
||||
@@ -806,7 +806,6 @@ mod tests {
|
||||
use columnar::{Cardinality, Column, MonotonicallyMappableToU128};
|
||||
use itertools::Itertools;
|
||||
use proptest::prop_oneof;
|
||||
use proptest::strategy::Strategy;
|
||||
|
||||
use super::super::operation::UserOperation;
|
||||
use crate::collector::TopDocs;
|
||||
|
||||
@@ -144,10 +144,9 @@ mod tests {
|
||||
use once_cell::sync::Lazy;
|
||||
|
||||
use super::*;
|
||||
use crate::index::{SegmentId, SegmentMeta, SegmentMetaInventory};
|
||||
use crate::indexer::merge_policy::MergePolicy;
|
||||
use crate::schema;
|
||||
use crate::index::SegmentMetaInventory;
|
||||
use crate::schema::INDEXED;
|
||||
use crate::{schema, SegmentId};
|
||||
|
||||
static INVENTORY: Lazy<SegmentMetaInventory> = Lazy::new(SegmentMetaInventory::default);
|
||||
|
||||
|
||||
@@ -39,7 +39,6 @@ impl MergePolicy for NoMergePolicy {
|
||||
pub mod tests {
|
||||
|
||||
use super::*;
|
||||
use crate::index::{SegmentId, SegmentMeta};
|
||||
|
||||
/// `MergePolicy` useful for test purposes.
|
||||
///
|
||||
|
||||
@@ -576,7 +576,7 @@ impl IndexMerger {
|
||||
//
|
||||
// Overall the reliable way to know if we have actual frequencies loaded or not
|
||||
// is to check whether the actual decoded array is empty or not.
|
||||
if has_term_freq != !postings.block_cursor.freqs().is_empty() {
|
||||
if has_term_freq == postings.block_cursor.freqs().is_empty() {
|
||||
return Err(DataCorruption::comment_only(
|
||||
"Term freqs are inconsistent across segments",
|
||||
)
|
||||
|
||||
@@ -144,6 +144,123 @@ mod tests_mmap {
|
||||
assert_eq!(num_docs, 256);
|
||||
}
|
||||
}
|
||||
#[test]
|
||||
fn test_json_field_null_byte() {
|
||||
// Test when field name contains a zero byte, which has special meaning in tantivy.
|
||||
// As a workaround, we convert the zero byte to the ASCII character '0'.
|
||||
// https://github.com/quickwit-oss/tantivy/issues/2340
|
||||
// https://github.com/quickwit-oss/tantivy/issues/2193
|
||||
let field_name_in = "\u{0000}";
|
||||
let field_name_out = "0";
|
||||
test_json_field_name(field_name_in, field_name_out);
|
||||
}
|
||||
#[test]
|
||||
fn test_json_field_1byte() {
|
||||
// Test when field name contains a '1' byte, which has special meaning in tantivy.
|
||||
// The 1 byte can be addressed as '1' byte or '.'.
|
||||
let field_name_in = "\u{0001}";
|
||||
let field_name_out = "\u{0001}";
|
||||
test_json_field_name(field_name_in, field_name_out);
|
||||
|
||||
// Test when field name contains a '1' byte, which has special meaning in tantivy.
|
||||
let field_name_in = "\u{0001}";
|
||||
let field_name_out = ".";
|
||||
test_json_field_name(field_name_in, field_name_out);
|
||||
}
|
||||
#[test]
|
||||
fn test_json_field_dot() {
|
||||
// Test when field name contains a '.'
|
||||
let field_name_in = ".";
|
||||
let field_name_out = ".";
|
||||
test_json_field_name(field_name_in, field_name_out);
|
||||
}
|
||||
fn test_json_field_name(field_name_in: &str, field_name_out: &str) {
|
||||
let mut schema_builder = Schema::builder();
|
||||
|
||||
let options = JsonObjectOptions::from(TEXT | FAST).set_expand_dots_enabled();
|
||||
let field = schema_builder.add_json_field("json", options);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(field=>json!({format!("{field_name_in}"): "test1"})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(field=>json!({format!("a{field_name_in}"): "test2"})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(field=>json!({format!("a{field_name_in}a"): "test3"})))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(
|
||||
doc!(field=>json!({format!("a{field_name_in}a{field_name_in}"): "test4"})),
|
||||
)
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(
|
||||
doc!(field=>json!({format!("a{field_name_in}.ab{field_name_in}"): "test5"})),
|
||||
)
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(
|
||||
doc!(field=>json!({format!("a{field_name_in}"): json!({format!("a{field_name_in}"): "test6"}) })),
|
||||
)
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(field=>json!({format!("{field_name_in}a" ): "test7"})))
|
||||
.unwrap();
|
||||
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let parse_query = QueryParser::for_index(&index, Vec::new());
|
||||
let test_query = |query_str: &str| {
|
||||
let query = parse_query.parse_query(query_str).unwrap();
|
||||
let num_docs = searcher.search(&query, &Count).unwrap();
|
||||
assert_eq!(num_docs, 1, "{}", query_str);
|
||||
};
|
||||
test_query(format!("json.{field_name_out}:test1").as_str());
|
||||
test_query(format!("json.a{field_name_out}:test2").as_str());
|
||||
test_query(format!("json.a{field_name_out}a:test3").as_str());
|
||||
test_query(format!("json.a{field_name_out}a{field_name_out}:test4").as_str());
|
||||
test_query(format!("json.a{field_name_out}.ab{field_name_out}:test5").as_str());
|
||||
test_query(format!("json.a{field_name_out}.a{field_name_out}:test6").as_str());
|
||||
test_query(format!("json.{field_name_out}a:test7").as_str());
|
||||
|
||||
let test_agg = |field_name: &str, expected: &str| {
|
||||
let agg_req_str = json!(
|
||||
{
|
||||
"termagg": {
|
||||
"terms": {
|
||||
"field": field_name,
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
let agg_req: Aggregations = serde_json::from_value(agg_req_str).unwrap();
|
||||
let collector = AggregationCollector::from_aggs(agg_req, Default::default());
|
||||
let agg_res: AggregationResults = searcher.search(&AllQuery, &collector).unwrap();
|
||||
let res = serde_json::to_value(agg_res).unwrap();
|
||||
assert_eq!(res["termagg"]["buckets"][0]["doc_count"], 1);
|
||||
assert_eq!(res["termagg"]["buckets"][0]["key"], expected);
|
||||
};
|
||||
|
||||
test_agg(format!("json.{field_name_out}").as_str(), "test1");
|
||||
test_agg(format!("json.a{field_name_out}").as_str(), "test2");
|
||||
test_agg(format!("json.a{field_name_out}a").as_str(), "test3");
|
||||
test_agg(
|
||||
format!("json.a{field_name_out}a{field_name_out}").as_str(),
|
||||
"test4",
|
||||
);
|
||||
test_agg(
|
||||
format!("json.a{field_name_out}.ab{field_name_out}").as_str(),
|
||||
"test5",
|
||||
);
|
||||
test_agg(
|
||||
format!("json.a{field_name_out}.a{field_name_out}").as_str(),
|
||||
"test6",
|
||||
);
|
||||
test_agg(format!("json.{field_name_out}a").as_str(), "test7");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_field_expand_dots_enabled_dot_escape_not_required() {
|
||||
|
||||
@@ -103,7 +103,7 @@ impl SegmentRegister {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::index::{SegmentId, SegmentMetaInventory};
|
||||
use crate::index::SegmentMetaInventory;
|
||||
use crate::indexer::delete_queue::*;
|
||||
|
||||
fn segment_ids(segment_register: &SegmentRegister) -> Vec<SegmentId> {
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use columnar::MonotonicallyMappableToU64;
|
||||
use common::JsonPathWriter;
|
||||
use itertools::Itertools;
|
||||
use tokenizer_api::BoxTokenStream;
|
||||
@@ -15,7 +14,8 @@ use crate::postings::{
|
||||
PerFieldPostingsWriter, PostingsWriter,
|
||||
};
|
||||
use crate::schema::document::{Document, ReferenceValue, Value};
|
||||
use crate::schema::{FieldEntry, FieldType, Schema, Term, DATE_TIME_PRECISION_INDEXED};
|
||||
use crate::schema::indexing_term::IndexingTerm;
|
||||
use crate::schema::{FieldEntry, FieldType, Schema};
|
||||
use crate::store::{StoreReader, StoreWriter};
|
||||
use crate::tokenizer::{FacetTokenizer, PreTokenizedStream, TextAnalyzer, Tokenizer};
|
||||
use crate::{DocId, Opstamp, SegmentComponent, TantivyError};
|
||||
@@ -70,7 +70,7 @@ pub struct SegmentWriter {
|
||||
pub(crate) json_path_writer: JsonPathWriter,
|
||||
pub(crate) doc_opstamps: Vec<Opstamp>,
|
||||
per_field_text_analyzers: Vec<TextAnalyzer>,
|
||||
term_buffer: Term,
|
||||
term_buffer: IndexingTerm,
|
||||
schema: Schema,
|
||||
}
|
||||
|
||||
@@ -126,7 +126,7 @@ impl SegmentWriter {
|
||||
)?,
|
||||
doc_opstamps: Vec::with_capacity(1_000),
|
||||
per_field_text_analyzers,
|
||||
term_buffer: Term::with_capacity(16),
|
||||
term_buffer: IndexingTerm::new(),
|
||||
schema,
|
||||
})
|
||||
}
|
||||
@@ -195,7 +195,7 @@ impl SegmentWriter {
|
||||
let (term_buffer, ctx) = (&mut self.term_buffer, &mut self.ctx);
|
||||
let postings_writer: &mut dyn PostingsWriter =
|
||||
self.per_field_postings_writers.get_for_field_mut(field);
|
||||
term_buffer.clear_with_field_and_type(field_entry.field_type().value_type(), field);
|
||||
term_buffer.clear_with_field(field);
|
||||
|
||||
match field_entry.field_type() {
|
||||
FieldType::Facet(_) => {
|
||||
@@ -271,8 +271,7 @@ impl SegmentWriter {
|
||||
|
||||
num_vals += 1;
|
||||
let date_val = value.as_datetime().ok_or_else(make_schema_error)?;
|
||||
term_buffer
|
||||
.set_u64(date_val.truncate(DATE_TIME_PRECISION_INDEXED).to_u64());
|
||||
term_buffer.set_date(date_val);
|
||||
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
|
||||
}
|
||||
if field_entry.has_fieldnorms() {
|
||||
@@ -332,7 +331,7 @@ impl SegmentWriter {
|
||||
|
||||
num_vals += 1;
|
||||
let bytes = value.as_bytes().ok_or_else(make_schema_error)?;
|
||||
term_buffer.set_bytes(bytes);
|
||||
term_buffer.set_value_bytes(bytes);
|
||||
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
|
||||
}
|
||||
if field_entry.has_fieldnorms() {
|
||||
@@ -496,14 +495,14 @@ mod tests {
|
||||
use tempfile::TempDir;
|
||||
|
||||
use crate::collector::{Count, TopDocs};
|
||||
use crate::core::json_utils::JsonTermWriter;
|
||||
use crate::directory::RamDirectory;
|
||||
use crate::fastfield::FastValue;
|
||||
use crate::json_utils::term_from_json_paths;
|
||||
use crate::postings::TermInfo;
|
||||
use crate::query::{PhraseQuery, QueryParser};
|
||||
use crate::schema::document::Value;
|
||||
use crate::schema::{
|
||||
Document, IndexRecordOption, Schema, TextFieldIndexing, TextOptions, Type, STORED, STRING,
|
||||
TEXT,
|
||||
Document, IndexRecordOption, Schema, TextFieldIndexing, TextOptions, STORED, STRING, TEXT,
|
||||
};
|
||||
use crate::store::{Compressor, StoreReader, StoreWriter};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
@@ -645,115 +644,117 @@ mod tests {
|
||||
let inv_idx = segment_reader.inverted_index(json_field).unwrap();
|
||||
let term_dict = inv_idx.terms();
|
||||
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut term_stream = term_dict.stream().unwrap();
|
||||
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
let term_from_path = |paths: &[&str]| -> Term {
|
||||
term_from_json_paths(json_field, paths.iter().cloned(), false)
|
||||
};
|
||||
|
||||
json_term_writer.push_path_segment("bool");
|
||||
json_term_writer.set_fast_value(true);
|
||||
fn set_fast_val<T: FastValue>(val: T, mut term: Term) -> Term {
|
||||
term.append_type_and_fast_value(val);
|
||||
term
|
||||
}
|
||||
fn set_str(val: &str, mut term: Term) -> Term {
|
||||
term.append_type_and_str(val);
|
||||
term
|
||||
}
|
||||
|
||||
let term = term_from_path(&["bool"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(true, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("complexobject");
|
||||
json_term_writer.push_path_segment("field.with.dot");
|
||||
json_term_writer.set_fast_value(1i64);
|
||||
let term = term_from_path(&["complexobject", "field.with.dot"]);
|
||||
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(1i64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("date");
|
||||
json_term_writer.set_fast_value(DateTime::from_utc(
|
||||
OffsetDateTime::parse("1985-04-12T23:20:50.52Z", &Rfc3339).unwrap(),
|
||||
));
|
||||
// Date
|
||||
let term = term_from_path(&["date"]);
|
||||
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(
|
||||
DateTime::from_utc(
|
||||
OffsetDateTime::parse("1985-04-12T23:20:50.52Z", &Rfc3339).unwrap(),
|
||||
),
|
||||
term
|
||||
)
|
||||
.serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("float");
|
||||
json_term_writer.set_fast_value(-0.2f64);
|
||||
// Float
|
||||
let term = term_from_path(&["float"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(-0.2f64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("my_arr");
|
||||
json_term_writer.set_fast_value(2i64);
|
||||
// Number In Array
|
||||
let term = term_from_path(&["my_arr"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(2i64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.set_fast_value(3i64);
|
||||
let term = term_from_path(&["my_arr"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(3i64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.set_fast_value(4i64);
|
||||
let term = term_from_path(&["my_arr"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(4i64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.push_path_segment("my_key");
|
||||
json_term_writer.set_str("tokens");
|
||||
// El in Array
|
||||
let term = term_from_path(&["my_arr", "my_key"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_str("tokens", term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.set_str("two");
|
||||
let term = term_from_path(&["my_arr", "my_key"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_str("two", term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("signed");
|
||||
json_term_writer.set_fast_value(-2i64);
|
||||
// Signed
|
||||
let term = term_from_path(&["signed"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(-2i64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("toto");
|
||||
json_term_writer.set_str("titi");
|
||||
let term = term_from_path(&["toto"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_str("titi", term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
json_term_writer.pop_path_segment();
|
||||
json_term_writer.push_path_segment("unsigned");
|
||||
json_term_writer.set_fast_value(1i64);
|
||||
// Unsigned
|
||||
let term = term_from_path(&["unsigned"]);
|
||||
assert!(term_stream.advance());
|
||||
assert_eq!(
|
||||
term_stream.key(),
|
||||
json_term_writer.term().serialized_value_bytes()
|
||||
set_fast_val(1i64, term).serialized_value_bytes()
|
||||
);
|
||||
|
||||
assert!(!term_stream.advance());
|
||||
}
|
||||
|
||||
@@ -774,14 +775,9 @@ mod tests {
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let inv_index = segment_reader.inverted_index(json_field).unwrap();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("mykey");
|
||||
json_term_writer.set_str("token");
|
||||
let term_info = inv_index
|
||||
.get_term_info(json_term_writer.term())
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
let mut term = term_from_json_paths(json_field, ["mykey"].into_iter(), false);
|
||||
term.append_type_and_str("token");
|
||||
let term_info = inv_index.get_term_info(&term).unwrap().unwrap();
|
||||
assert_eq!(
|
||||
term_info,
|
||||
TermInfo {
|
||||
@@ -818,14 +814,9 @@ mod tests {
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let inv_index = segment_reader.inverted_index(json_field).unwrap();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("mykey");
|
||||
json_term_writer.set_str("two tokens");
|
||||
let term_info = inv_index
|
||||
.get_term_info(json_term_writer.term())
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
let mut term = term_from_json_paths(json_field, ["mykey"].into_iter(), false);
|
||||
term.append_type_and_str("two tokens");
|
||||
let term_info = inv_index.get_term_info(&term).unwrap().unwrap();
|
||||
assert_eq!(
|
||||
term_info,
|
||||
TermInfo {
|
||||
@@ -863,16 +854,18 @@ mod tests {
|
||||
writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("mykey");
|
||||
json_term_writer.push_path_segment("field");
|
||||
json_term_writer.set_str("hello");
|
||||
let hello_term = json_term_writer.term().clone();
|
||||
json_term_writer.set_str("nothello");
|
||||
let nothello_term = json_term_writer.term().clone();
|
||||
json_term_writer.set_str("happy");
|
||||
let happy_term = json_term_writer.term().clone();
|
||||
|
||||
let term = term_from_json_paths(json_field, ["mykey", "field"].into_iter(), false);
|
||||
|
||||
let mut hello_term = term.clone();
|
||||
hello_term.append_type_and_str("hello");
|
||||
|
||||
let mut nothello_term = term.clone();
|
||||
nothello_term.append_type_and_str("nothello");
|
||||
|
||||
let mut happy_term = term.clone();
|
||||
happy_term.append_type_and_str("happy");
|
||||
|
||||
let phrase_query = PhraseQuery::new(vec![hello_term, happy_term.clone()]);
|
||||
assert_eq!(searcher.search(&phrase_query, &Count).unwrap(), 1);
|
||||
let phrase_query = PhraseQuery::new(vec![nothello_term, happy_term]);
|
||||
|
||||
17
src/lib.rs
17
src/lib.rs
@@ -178,6 +178,7 @@ pub use crate::future_result::FutureResult;
|
||||
pub type Result<T> = std::result::Result<T, TantivyError>;
|
||||
|
||||
mod core;
|
||||
#[allow(deprecated)] // Remove with index sorting
|
||||
pub mod indexer;
|
||||
|
||||
#[allow(unused_doc_comments)]
|
||||
@@ -189,6 +190,7 @@ pub mod collector;
|
||||
pub mod directory;
|
||||
pub mod fastfield;
|
||||
pub mod fieldnorm;
|
||||
#[allow(deprecated)] // Remove with index sorting
|
||||
pub mod index;
|
||||
pub mod positions;
|
||||
pub mod postings;
|
||||
@@ -213,7 +215,7 @@ pub use common::{f64_to_u64, i64_to_u64, u64_to_f64, u64_to_i64, HasLen};
|
||||
use once_cell::sync::Lazy;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
pub use self::docset::{DocSet, TERMINATED};
|
||||
pub use self::docset::{DocSet, COLLECT_BLOCK_BUFFER_LEN, TERMINATED};
|
||||
#[deprecated(
|
||||
since = "0.22.0",
|
||||
note = "Will be removed in tantivy 0.23. Use export from snippet module instead"
|
||||
@@ -223,6 +225,7 @@ pub use self::snippet::{Snippet, SnippetGenerator};
|
||||
pub use crate::core::json_utils;
|
||||
pub use crate::core::{Executor, Searcher, SearcherGeneration};
|
||||
pub use crate::directory::Directory;
|
||||
#[allow(deprecated)] // Remove with index sorting
|
||||
pub use crate::index::{
|
||||
Index, IndexBuilder, IndexMeta, IndexSettings, IndexSortByField, InvertedIndexReader, Order,
|
||||
Segment, SegmentComponent, SegmentId, SegmentMeta, SegmentReader,
|
||||
@@ -234,8 +237,6 @@ pub use crate::index::{
|
||||
pub use crate::indexer::PreparedCommit;
|
||||
pub use crate::indexer::{IndexWriter, SingleSegmentIndexWriter};
|
||||
pub use crate::postings::Postings;
|
||||
#[allow(deprecated)]
|
||||
pub use crate::schema::DatePrecision;
|
||||
pub use crate::schema::{DateOptions, DateTimePrecision, Document, TantivyDocument, Term};
|
||||
|
||||
/// Index format version.
|
||||
@@ -254,7 +255,7 @@ pub struct Version {
|
||||
|
||||
impl fmt::Debug for Version {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{}", self.to_string())
|
||||
fmt::Display::fmt(self, f)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -265,9 +266,10 @@ static VERSION: Lazy<Version> = Lazy::new(|| Version {
|
||||
index_format_version: INDEX_FORMAT_VERSION,
|
||||
});
|
||||
|
||||
impl ToString for Version {
|
||||
fn to_string(&self) -> String {
|
||||
format!(
|
||||
impl fmt::Display for Version {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(
|
||||
f,
|
||||
"tantivy v{}.{}.{}, index_format v{}",
|
||||
self.major, self.minor, self.patch, self.index_format_version
|
||||
)
|
||||
@@ -391,7 +393,6 @@ pub mod tests {
|
||||
use crate::index::SegmentReader;
|
||||
use crate::merge_policy::NoMergePolicy;
|
||||
use crate::query::BooleanQuery;
|
||||
use crate::schema::document::Value;
|
||||
use crate::schema::*;
|
||||
use crate::{DateTime, DocAddress, Index, IndexWriter, Postings, ReloadPolicy};
|
||||
|
||||
|
||||
@@ -14,7 +14,6 @@ pub fn compressed_block_size(num_bits: u8) -> usize {
|
||||
pub struct BlockEncoder {
|
||||
bitpacker: BitPacker4x,
|
||||
pub output: [u8; COMPRESSED_BLOCK_MAX_SIZE],
|
||||
pub output_len: usize,
|
||||
}
|
||||
|
||||
impl Default for BlockEncoder {
|
||||
@@ -28,7 +27,6 @@ impl BlockEncoder {
|
||||
BlockEncoder {
|
||||
bitpacker: BitPacker4x::new(),
|
||||
output: [0u8; COMPRESSED_BLOCK_MAX_SIZE],
|
||||
output_len: 0,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
use std::io;
|
||||
|
||||
use common::json_path_writer::JSON_END_OF_PATH;
|
||||
use stacker::Addr;
|
||||
|
||||
use crate::indexer::doc_id_mapping::DocIdMapping;
|
||||
@@ -7,9 +8,10 @@ use crate::indexer::path_to_unordered_id::OrderedPathId;
|
||||
use crate::postings::postings_writer::SpecializedPostingsWriter;
|
||||
use crate::postings::recorder::{BufferLender, DocIdRecorder, Recorder};
|
||||
use crate::postings::{FieldSerializer, IndexingContext, IndexingPosition, PostingsWriter};
|
||||
use crate::schema::{Field, Type, JSON_END_OF_PATH};
|
||||
use crate::schema::indexing_term::IndexingTerm;
|
||||
use crate::schema::{Field, Type, ValueBytes};
|
||||
use crate::tokenizer::TokenStream;
|
||||
use crate::{DocId, Term};
|
||||
use crate::DocId;
|
||||
|
||||
/// The `JsonPostingsWriter` is odd in that it relies on a hidden contract:
|
||||
///
|
||||
@@ -33,7 +35,7 @@ impl<Rec: Recorder> PostingsWriter for JsonPostingsWriter<Rec> {
|
||||
&mut self,
|
||||
doc: crate::DocId,
|
||||
pos: u32,
|
||||
term: &crate::Term,
|
||||
term: &IndexingTerm,
|
||||
ctx: &mut IndexingContext,
|
||||
) {
|
||||
self.non_str_posting_writer.subscribe(doc, pos, term, ctx);
|
||||
@@ -43,7 +45,7 @@ impl<Rec: Recorder> PostingsWriter for JsonPostingsWriter<Rec> {
|
||||
&mut self,
|
||||
doc_id: DocId,
|
||||
token_stream: &mut dyn TokenStream,
|
||||
term_buffer: &mut Term,
|
||||
term_buffer: &mut IndexingTerm,
|
||||
ctx: &mut IndexingContext,
|
||||
indexing_position: &mut IndexingPosition,
|
||||
) {
|
||||
@@ -65,34 +67,40 @@ impl<Rec: Recorder> PostingsWriter for JsonPostingsWriter<Rec> {
|
||||
ctx: &IndexingContext,
|
||||
serializer: &mut FieldSerializer,
|
||||
) -> io::Result<()> {
|
||||
let mut term_buffer = Term::with_capacity(48);
|
||||
let mut term_buffer = JsonTermSerializer(Vec::with_capacity(48));
|
||||
let mut buffer_lender = BufferLender::default();
|
||||
let mut prev_term_id = u32::MAX;
|
||||
let mut term_path_len = 0; // this will be set in the first iteration
|
||||
for (_field, path_id, term, addr) in term_addrs {
|
||||
term_buffer.clear_with_field_and_type(Type::Json, Field::from_field_id(0));
|
||||
term_buffer.append_bytes(ordered_id_to_path[path_id.path_id() as usize].as_bytes());
|
||||
term_buffer.append_bytes(&[JSON_END_OF_PATH]);
|
||||
if prev_term_id != path_id.path_id() {
|
||||
term_buffer.clear();
|
||||
term_buffer.append_path(ordered_id_to_path[path_id.path_id() as usize].as_bytes());
|
||||
term_buffer.append_bytes(&[JSON_END_OF_PATH]);
|
||||
term_path_len = term_buffer.len();
|
||||
prev_term_id = path_id.path_id();
|
||||
}
|
||||
term_buffer.truncate(term_path_len);
|
||||
term_buffer.append_bytes(term);
|
||||
if let Some(json_value) = term_buffer.value().as_json_value_bytes() {
|
||||
let typ = json_value.typ();
|
||||
if typ == Type::Str {
|
||||
SpecializedPostingsWriter::<Rec>::serialize_one_term(
|
||||
term_buffer.serialized_value_bytes(),
|
||||
*addr,
|
||||
doc_id_map,
|
||||
&mut buffer_lender,
|
||||
ctx,
|
||||
serializer,
|
||||
)?;
|
||||
} else {
|
||||
SpecializedPostingsWriter::<DocIdRecorder>::serialize_one_term(
|
||||
term_buffer.serialized_value_bytes(),
|
||||
*addr,
|
||||
doc_id_map,
|
||||
&mut buffer_lender,
|
||||
ctx,
|
||||
serializer,
|
||||
)?;
|
||||
}
|
||||
let json_value = ValueBytes::wrap(term);
|
||||
let typ = json_value.typ();
|
||||
if typ == Type::Str {
|
||||
SpecializedPostingsWriter::<Rec>::serialize_one_term(
|
||||
term_buffer.as_bytes(),
|
||||
*addr,
|
||||
doc_id_map,
|
||||
&mut buffer_lender,
|
||||
ctx,
|
||||
serializer,
|
||||
)?;
|
||||
} else {
|
||||
SpecializedPostingsWriter::<DocIdRecorder>::serialize_one_term(
|
||||
term_buffer.as_bytes(),
|
||||
*addr,
|
||||
doc_id_map,
|
||||
&mut buffer_lender,
|
||||
ctx,
|
||||
serializer,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
@@ -102,3 +110,40 @@ impl<Rec: Recorder> PostingsWriter for JsonPostingsWriter<Rec> {
|
||||
self.str_posting_writer.total_num_tokens() + self.non_str_posting_writer.total_num_tokens()
|
||||
}
|
||||
}
|
||||
|
||||
struct JsonTermSerializer(Vec<u8>);
|
||||
impl JsonTermSerializer {
|
||||
#[inline]
|
||||
pub fn append_path(&mut self, bytes: &[u8]) {
|
||||
if bytes.contains(&0u8) {
|
||||
self.0
|
||||
.extend(bytes.iter().map(|&b| if b == 0 { b'0' } else { b }));
|
||||
} else {
|
||||
self.0.extend_from_slice(bytes);
|
||||
}
|
||||
}
|
||||
|
||||
/// Appends value bytes to the Term.
|
||||
///
|
||||
/// This function returns the segment that has just been added.
|
||||
#[inline]
|
||||
pub fn append_bytes(&mut self, bytes: &[u8]) -> &mut [u8] {
|
||||
let len_before = self.0.len();
|
||||
self.0.extend_from_slice(bytes);
|
||||
&mut self.0[len_before..]
|
||||
}
|
||||
|
||||
fn clear(&mut self) {
|
||||
self.0.clear();
|
||||
}
|
||||
fn truncate(&mut self, len: usize) {
|
||||
self.0.truncate(len);
|
||||
}
|
||||
fn len(&self) -> usize {
|
||||
self.0.len()
|
||||
}
|
||||
|
||||
fn as_bytes(&self) -> &[u8] {
|
||||
&self.0
|
||||
}
|
||||
}
|
||||
|
||||
@@ -11,7 +11,8 @@ use crate::postings::recorder::{BufferLender, Recorder};
|
||||
use crate::postings::{
|
||||
FieldSerializer, IndexingContext, InvertedIndexSerializer, PerFieldPostingsWriter,
|
||||
};
|
||||
use crate::schema::{Field, Schema, Term, Type};
|
||||
use crate::schema::indexing_term::{get_field_from_indexing_term, IndexingTerm};
|
||||
use crate::schema::{Field, Schema, Type};
|
||||
use crate::tokenizer::{Token, TokenStream, MAX_TOKEN_LEN};
|
||||
use crate::DocId;
|
||||
|
||||
@@ -60,14 +61,14 @@ pub(crate) fn serialize_postings(
|
||||
let mut term_offsets: Vec<(Field, OrderedPathId, &[u8], Addr)> =
|
||||
Vec::with_capacity(ctx.term_index.len());
|
||||
term_offsets.extend(ctx.term_index.iter().map(|(key, addr)| {
|
||||
let field = Term::wrap(key).field();
|
||||
let field = get_field_from_indexing_term(key);
|
||||
if schema.get_field_entry(field).field_type().value_type() == Type::Json {
|
||||
let byte_range_path = 5..5 + 4;
|
||||
let byte_range_path = 4..4 + 4;
|
||||
let unordered_id = u32::from_be_bytes(key[byte_range_path.clone()].try_into().unwrap());
|
||||
let path_id = unordered_id_to_ordered_id[unordered_id as usize];
|
||||
(field, path_id, &key[byte_range_path.end..], addr)
|
||||
} else {
|
||||
(field, 0.into(), &key[5..], addr)
|
||||
(field, 0.into(), &key[4..], addr)
|
||||
}
|
||||
}));
|
||||
// Sort by field, path, and term
|
||||
@@ -114,7 +115,7 @@ pub(crate) trait PostingsWriter: Send + Sync {
|
||||
/// * term - the term
|
||||
/// * ctx - Contains a term hashmap and a memory arena to store all necessary posting list
|
||||
/// information.
|
||||
fn subscribe(&mut self, doc: DocId, pos: u32, term: &Term, ctx: &mut IndexingContext);
|
||||
fn subscribe(&mut self, doc: DocId, pos: u32, term: &IndexingTerm, ctx: &mut IndexingContext);
|
||||
|
||||
/// Serializes the postings on disk.
|
||||
/// The actual serialization format is handled by the `PostingsSerializer`.
|
||||
@@ -132,7 +133,7 @@ pub(crate) trait PostingsWriter: Send + Sync {
|
||||
&mut self,
|
||||
doc_id: DocId,
|
||||
token_stream: &mut dyn TokenStream,
|
||||
term_buffer: &mut Term,
|
||||
term_buffer: &mut IndexingTerm,
|
||||
ctx: &mut IndexingContext,
|
||||
indexing_position: &mut IndexingPosition,
|
||||
) {
|
||||
@@ -203,26 +204,35 @@ impl<Rec: Recorder> SpecializedPostingsWriter<Rec> {
|
||||
|
||||
impl<Rec: Recorder> PostingsWriter for SpecializedPostingsWriter<Rec> {
|
||||
#[inline]
|
||||
fn subscribe(&mut self, doc: DocId, position: u32, term: &Term, ctx: &mut IndexingContext) {
|
||||
debug_assert!(term.serialized_term().len() >= 4);
|
||||
fn subscribe(
|
||||
&mut self,
|
||||
doc: DocId,
|
||||
position: u32,
|
||||
term: &IndexingTerm,
|
||||
ctx: &mut IndexingContext,
|
||||
) {
|
||||
debug_assert!(term.serialized_for_hashmap().len() >= 4);
|
||||
self.total_num_tokens += 1;
|
||||
let (term_index, arena) = (&mut ctx.term_index, &mut ctx.arena);
|
||||
term_index.mutate_or_create(term.serialized_term(), |opt_recorder: Option<Rec>| {
|
||||
if let Some(mut recorder) = opt_recorder {
|
||||
let current_doc = recorder.current_doc();
|
||||
if current_doc != doc {
|
||||
recorder.close_doc(arena);
|
||||
term_index.mutate_or_create(
|
||||
term.serialized_for_hashmap(),
|
||||
|opt_recorder: Option<Rec>| {
|
||||
if let Some(mut recorder) = opt_recorder {
|
||||
let current_doc = recorder.current_doc();
|
||||
if current_doc != doc {
|
||||
recorder.close_doc(arena);
|
||||
recorder.new_doc(doc, arena);
|
||||
}
|
||||
recorder.record_position(position, arena);
|
||||
recorder
|
||||
} else {
|
||||
let mut recorder = Rec::default();
|
||||
recorder.new_doc(doc, arena);
|
||||
recorder.record_position(position, arena);
|
||||
recorder
|
||||
}
|
||||
recorder.record_position(position, arena);
|
||||
recorder
|
||||
} else {
|
||||
let mut recorder = Rec::default();
|
||||
recorder.new_doc(doc, arena);
|
||||
recorder.record_position(position, arena);
|
||||
recorder
|
||||
}
|
||||
});
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
fn serialize(
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
use std::convert::TryInto;
|
||||
|
||||
use crate::directory::OwnedBytes;
|
||||
use crate::postings::compression::{compressed_block_size, COMPRESSION_BLOCK_SIZE};
|
||||
use crate::query::Bm25Weight;
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
use std::io;
|
||||
use std::iter::ExactSizeIterator;
|
||||
use std::ops::Range;
|
||||
|
||||
use common::{BinarySerializable, FixedSize};
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use crate::docset::{DocSet, BUFFER_LEN, TERMINATED};
|
||||
use crate::docset::{DocSet, COLLECT_BLOCK_BUFFER_LEN, TERMINATED};
|
||||
use crate::index::SegmentReader;
|
||||
use crate::query::boost_query::BoostScorer;
|
||||
use crate::query::explanation::does_not_match;
|
||||
@@ -54,7 +54,7 @@ impl DocSet for AllScorer {
|
||||
self.doc
|
||||
}
|
||||
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; BUFFER_LEN]) -> usize {
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN]) -> usize {
|
||||
if self.doc() == TERMINATED {
|
||||
return 0;
|
||||
}
|
||||
@@ -96,7 +96,7 @@ impl Scorer for AllScorer {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::AllQuery;
|
||||
use crate::docset::{DocSet, BUFFER_LEN, TERMINATED};
|
||||
use crate::docset::{DocSet, COLLECT_BLOCK_BUFFER_LEN, TERMINATED};
|
||||
use crate::query::{AllScorer, EnableScoring, Query};
|
||||
use crate::schema::{Schema, TEXT};
|
||||
use crate::{Index, IndexWriter};
|
||||
@@ -162,16 +162,16 @@ mod tests {
|
||||
pub fn test_fill_buffer() {
|
||||
let mut postings = AllScorer {
|
||||
doc: 0u32,
|
||||
max_doc: BUFFER_LEN as u32 * 2 + 9,
|
||||
max_doc: COLLECT_BLOCK_BUFFER_LEN as u32 * 2 + 9,
|
||||
};
|
||||
let mut buffer = [0u32; BUFFER_LEN];
|
||||
assert_eq!(postings.fill_buffer(&mut buffer), BUFFER_LEN);
|
||||
for i in 0u32..BUFFER_LEN as u32 {
|
||||
let mut buffer = [0u32; COLLECT_BLOCK_BUFFER_LEN];
|
||||
assert_eq!(postings.fill_buffer(&mut buffer), COLLECT_BLOCK_BUFFER_LEN);
|
||||
for i in 0u32..COLLECT_BLOCK_BUFFER_LEN as u32 {
|
||||
assert_eq!(buffer[i as usize], i);
|
||||
}
|
||||
assert_eq!(postings.fill_buffer(&mut buffer), BUFFER_LEN);
|
||||
for i in 0u32..BUFFER_LEN as u32 {
|
||||
assert_eq!(buffer[i as usize], i + BUFFER_LEN as u32);
|
||||
assert_eq!(postings.fill_buffer(&mut buffer), COLLECT_BLOCK_BUFFER_LEN);
|
||||
for i in 0u32..COLLECT_BLOCK_BUFFER_LEN as u32 {
|
||||
assert_eq!(buffer[i as usize], i + COLLECT_BLOCK_BUFFER_LEN as u32);
|
||||
}
|
||||
assert_eq!(postings.fill_buffer(&mut buffer), 9);
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use std::collections::HashMap;
|
||||
|
||||
use crate::docset::BUFFER_LEN;
|
||||
use crate::docset::COLLECT_BLOCK_BUFFER_LEN;
|
||||
use crate::index::SegmentReader;
|
||||
use crate::postings::FreqReadingOption;
|
||||
use crate::query::explanation::does_not_match;
|
||||
@@ -228,7 +228,7 @@ impl<TScoreCombiner: ScoreCombiner + Sync> Weight for BooleanWeight<TScoreCombin
|
||||
callback: &mut dyn FnMut(&[DocId]),
|
||||
) -> crate::Result<()> {
|
||||
let scorer = self.complex_scorer(reader, 1.0, || DoNothingCombiner)?;
|
||||
let mut buffer = [0u32; BUFFER_LEN];
|
||||
let mut buffer = [0u32; COLLECT_BLOCK_BUFFER_LEN];
|
||||
|
||||
match scorer {
|
||||
SpecializedScorer::TermUnion(term_scorers) => {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use std::fmt;
|
||||
|
||||
use crate::docset::BUFFER_LEN;
|
||||
use crate::docset::COLLECT_BLOCK_BUFFER_LEN;
|
||||
use crate::fastfield::AliveBitSet;
|
||||
use crate::query::{EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, SegmentReader, Term};
|
||||
@@ -105,7 +105,7 @@ impl<S: Scorer> DocSet for BoostScorer<S> {
|
||||
self.underlying.seek(target)
|
||||
}
|
||||
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; BUFFER_LEN]) -> usize {
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN]) -> usize {
|
||||
self.underlying.fill_buffer(buffer)
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use std::fmt;
|
||||
|
||||
use crate::docset::BUFFER_LEN;
|
||||
use crate::docset::COLLECT_BLOCK_BUFFER_LEN;
|
||||
use crate::query::{EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, SegmentReader, TantivyError, Term};
|
||||
|
||||
@@ -119,7 +119,7 @@ impl<TDocSet: DocSet> DocSet for ConstScorer<TDocSet> {
|
||||
self.docset.seek(target)
|
||||
}
|
||||
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; BUFFER_LEN]) -> usize {
|
||||
fn fill_buffer(&mut self, buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN]) -> usize {
|
||||
self.docset.fill_buffer(buffer)
|
||||
}
|
||||
|
||||
|
||||
@@ -149,7 +149,7 @@ mod tests {
|
||||
use crate::query::exist_query::ExistsQuery;
|
||||
use crate::query::{BooleanQuery, RangeQuery};
|
||||
use crate::schema::{Facet, FacetOptions, Schema, FAST, INDEXED, STRING, TEXT};
|
||||
use crate::{doc, Index, Searcher};
|
||||
use crate::{Index, Searcher};
|
||||
|
||||
#[test]
|
||||
fn test_exists_query_simple() -> crate::Result<()> {
|
||||
|
||||
@@ -3,7 +3,7 @@ use once_cell::sync::OnceCell;
|
||||
use tantivy_fst::Automaton;
|
||||
|
||||
use crate::query::{AutomatonWeight, EnableScoring, Query, Weight};
|
||||
use crate::schema::{Term, Type};
|
||||
use crate::schema::Term;
|
||||
use crate::TantivyError::InvalidArgument;
|
||||
|
||||
pub(crate) struct DfaWrapper(pub DFA);
|
||||
@@ -84,7 +84,7 @@ pub struct FuzzyTermQuery {
|
||||
distance: u8,
|
||||
/// Should a transposition cost 1 or 2?
|
||||
transposition_cost_one: bool,
|
||||
///
|
||||
/// is a starts with query
|
||||
prefix: bool,
|
||||
}
|
||||
|
||||
@@ -133,40 +133,33 @@ impl FuzzyTermQuery {
|
||||
|
||||
let term_value = self.term.value();
|
||||
|
||||
let term_text = if term_value.typ() == Type::Json {
|
||||
if let Some(json_path_type) = term_value.json_path_type() {
|
||||
if json_path_type != Type::Str {
|
||||
return Err(InvalidArgument(format!(
|
||||
"The fuzzy term query requires a string path type for a json term. Found \
|
||||
{:?}",
|
||||
json_path_type
|
||||
)));
|
||||
}
|
||||
let get_automaton = |term_text: &str| {
|
||||
if self.prefix {
|
||||
automaton_builder.build_prefix_dfa(term_text)
|
||||
} else {
|
||||
automaton_builder.build_dfa(term_text)
|
||||
}
|
||||
|
||||
std::str::from_utf8(self.term.serialized_value_bytes()).map_err(|_| {
|
||||
InvalidArgument(
|
||||
"Failed to convert json term value bytes to utf8 string.".to_string(),
|
||||
)
|
||||
})?
|
||||
} else {
|
||||
term_value.as_str().ok_or_else(|| {
|
||||
InvalidArgument("The fuzzy term query requires a string term.".to_string())
|
||||
})?
|
||||
};
|
||||
let automaton = if self.prefix {
|
||||
automaton_builder.build_prefix_dfa(term_text)
|
||||
} else {
|
||||
automaton_builder.build_dfa(term_text)
|
||||
};
|
||||
|
||||
if let Some((json_path_bytes, _)) = term_value.as_json() {
|
||||
if let Some((json_path_bytes, _term_value)) = term_value.as_json() {
|
||||
let term_text =
|
||||
std::str::from_utf8(self.term.serialized_value_bytes()).map_err(|_| {
|
||||
InvalidArgument(
|
||||
"Failed to convert json term value bytes to utf8 string.".to_string(),
|
||||
)
|
||||
})?;
|
||||
|
||||
let automaton = get_automaton(term_text);
|
||||
Ok(AutomatonWeight::new_for_json_path(
|
||||
self.term.field(),
|
||||
DfaWrapper(automaton),
|
||||
json_path_bytes,
|
||||
))
|
||||
} else {
|
||||
let term_text = term_value.as_str().ok_or_else(|| {
|
||||
InvalidArgument("The fuzzy term query requires a string term.".to_string())
|
||||
})?;
|
||||
let automaton = get_automaton(term_text);
|
||||
Ok(AutomatonWeight::new(
|
||||
self.term.field(),
|
||||
DfaWrapper(automaton),
|
||||
|
||||
@@ -137,7 +137,7 @@ impl Query for PhrasePrefixQuery {
|
||||
// There are no prefix. Let's just match the suffix.
|
||||
let end_term =
|
||||
if let Some(end_value) = prefix_end(self.prefix.1.serialized_value_bytes()) {
|
||||
let mut end_term = Term::with_capacity(end_value.len());
|
||||
let mut end_term = Term::new();
|
||||
end_term.set_field_and_type(self.field, self.prefix.1.typ());
|
||||
end_term.append_bytes(&end_value);
|
||||
Bound::Excluded(end_term)
|
||||
|
||||
@@ -10,10 +10,10 @@ use query_grammar::{UserInputAst, UserInputBound, UserInputLeaf, UserInputLitera
|
||||
use rustc_hash::FxHashMap;
|
||||
|
||||
use super::logical_ast::*;
|
||||
use crate::core::json_utils::{
|
||||
convert_to_fast_value_and_get_term, set_string_and_get_terms, JsonTermWriter,
|
||||
};
|
||||
use crate::index::Index;
|
||||
use crate::json_utils::{
|
||||
convert_to_fast_value_and_append_to_json_term, split_json_path, term_from_json_paths,
|
||||
};
|
||||
use crate::query::range_query::{is_type_valid_for_fastfield_range_query, RangeQuery};
|
||||
use crate::query::{
|
||||
AllQuery, BooleanQuery, BoostQuery, EmptyQuery, FuzzyTermQuery, Occur, PhrasePrefixQuery,
|
||||
@@ -965,20 +965,33 @@ fn generate_literals_for_json_object(
|
||||
})?;
|
||||
let index_record_option = text_options.index_option();
|
||||
let mut logical_literals = Vec::new();
|
||||
let mut term = Term::with_capacity(100);
|
||||
let mut json_term_writer = JsonTermWriter::from_field_and_json_path(
|
||||
field,
|
||||
json_path,
|
||||
json_options.is_expand_dots_enabled(),
|
||||
&mut term,
|
||||
);
|
||||
if let Some(term) = convert_to_fast_value_and_get_term(&mut json_term_writer, phrase) {
|
||||
|
||||
let paths = split_json_path(json_path);
|
||||
let get_term_with_path = || {
|
||||
term_from_json_paths(
|
||||
field,
|
||||
paths.iter().map(|el| el.as_str()),
|
||||
json_options.is_expand_dots_enabled(),
|
||||
)
|
||||
};
|
||||
|
||||
// Try to convert the phrase to a fast value
|
||||
if let Some(term) = convert_to_fast_value_and_append_to_json_term(get_term_with_path(), phrase)
|
||||
{
|
||||
logical_literals.push(LogicalLiteral::Term(term));
|
||||
}
|
||||
let terms = set_string_and_get_terms(&mut json_term_writer, phrase, &mut text_analyzer);
|
||||
drop(json_term_writer);
|
||||
if terms.len() <= 1 {
|
||||
for (_, term) in terms {
|
||||
|
||||
// Try to tokenize the phrase and create Terms.
|
||||
let mut positions_and_terms = Vec::<(usize, Term)>::new();
|
||||
let mut token_stream = text_analyzer.token_stream(phrase);
|
||||
token_stream.process(&mut |token| {
|
||||
let mut term = get_term_with_path();
|
||||
term.append_type_and_str(&token.text);
|
||||
positions_and_terms.push((token.position, term.clone()));
|
||||
});
|
||||
|
||||
if positions_and_terms.len() <= 1 {
|
||||
for (_, term) in positions_and_terms {
|
||||
logical_literals.push(LogicalLiteral::Term(term));
|
||||
}
|
||||
return Ok(logical_literals);
|
||||
@@ -989,7 +1002,7 @@ fn generate_literals_for_json_object(
|
||||
));
|
||||
}
|
||||
logical_literals.push(LogicalLiteral::Phrase {
|
||||
terms,
|
||||
terms: positions_and_terms,
|
||||
slop: 0,
|
||||
prefix: false,
|
||||
});
|
||||
|
||||
@@ -477,7 +477,7 @@ mod tests {
|
||||
use crate::schema::{
|
||||
Field, IntoIpv6Addr, Schema, TantivyDocument, FAST, INDEXED, STORED, TEXT,
|
||||
};
|
||||
use crate::{doc, Index, IndexWriter};
|
||||
use crate::{Index, IndexWriter};
|
||||
|
||||
#[test]
|
||||
fn test_range_query_simple() -> crate::Result<()> {
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user