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...

13 Commits

Author SHA1 Message Date
PSeitz
17d5869ad6 update CHANGELOG, use github API in cliff (#2354)
* update CHANGELOG, use github API in cliff

* reset version to 0.21.1, before release

* chore: Release

* remove unreleased from CHANGELOG
2024-04-15 10:07:20 +02:00
PSeitz
dfa3aed32d check unsupported parameters top_hits (#2351)
* check unsupported parameters top_hits

* move to function
2024-04-10 08:20:52 +02:00
PSeitz
398817ce7b add index sorting deprecation warning (#2353)
* add index sorting deprecation warning

* remove deprecated IntOptions and DatePrecision
2024-04-10 08:09:09 +02:00
PSeitz
74940e9345 clippy (#2349)
* fix clippy

* fix clippy

* fix duplicate imports
2024-04-09 07:54:44 +02:00
PSeitz
1e9fc51535 update ahash (#2344) 2024-04-09 06:35:39 +02:00
PSeitz
92c32979d2 fix postcard compatibility for top_hits, add postcard test (#2346)
* fix postcard compatibility for top_hits, add postcard test

* fix top_hits naming, delay data fetch

closes #2347

* fix import
2024-04-09 06:17:25 +02:00
PSeitz
b644d78a32 fix null byte handling in JSON paths (#2345)
* fix null byte handling in JSON paths

closes https://github.com/quickwit-oss/tantivy/issues/2193
closes https://github.com/quickwit-oss/tantivy/issues/2340

* avoid repeated term truncation

* fix test

* Apply suggestions from code review

Co-authored-by: Paul Masurel <paul@quickwit.io>

* add comment

---------

Co-authored-by: Paul Masurel <paul@quickwit.io>
2024-04-05 09:53:35 +02:00
PSeitz
4e79e11007 add collect_block to BoxableSegmentCollector (#2331) 2024-03-21 09:10:25 +01:00
PSeitz
67ebba3c3c expose collect_block buffer size (#2326)
* expose buffer of collect_block

* flip shard_size segment_size
2024-03-15 08:02:08 +01:00
PSeitz
7ce950f141 add method to fetch block of first vals in columnar (#2330)
* add method to fetch block of first vals in columnar

add method to fetch block of first vals in columnar (this is way faster
than single calls for full columns)
add benchmark
fix import warnings

```
test bench_get_block_first_on_full_column                  ... bench:          56 ns/iter (+/- 26)
test bench_get_block_first_on_full_column_single_calls     ... bench:         311 ns/iter (+/- 6)
test bench_get_block_first_on_multi_column                 ... bench:         378 ns/iter (+/- 15)
test bench_get_block_first_on_multi_column_single_calls    ... bench:         546 ns/iter (+/- 13)
test bench_get_block_first_on_optional_column              ... bench:         291 ns/iter (+/- 6)
test bench_get_block_first_on_optional_column_single_calls ... bench:         362 ns/iter (+/- 8)
```

* use remainder
2024-03-15 08:01:47 +01:00
dependabot[bot]
0cffe5fb09 Update base64 requirement from 0.21.0 to 0.22.0 (#2324)
Updates the requirements on [base64](https://github.com/marshallpierce/rust-base64) to permit the latest version.
- [Changelog](https://github.com/marshallpierce/rust-base64/blob/master/RELEASE-NOTES.md)
- [Commits](https://github.com/marshallpierce/rust-base64/compare/v0.21.0...v0.22.0)

---
updated-dependencies:
- dependency-name: base64
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-03-15 15:50:34 +09:00
PSeitz
b0e65560a1 handle ip adresses in term aggregation (#2319)
* handle ip adresses in term aggregation

Stores IpAdresses during the segment term aggregation via u64 representation
and convert to u128(IpV6Adress) via downcast when converting to intermediate results.

Enable Downcasting on `ColumnValues`
Expose u64 variant for u128 encoded data via `open_u64_lenient` method.
Remove lifetime in VecColumn, to avoid 'static lifetime requirement coming
from downcast trait.

* rename method
2024-03-14 09:41:18 +01:00
PSeitz
ec37295b2f add fast path for full columns in fetch_block (#2328)
Spotted in `range_date_histogram` query in quickwit benchmark:
5% of time copying docs around, which is not needed in the full index case

remove Column to ColumnIndex deref
2024-03-14 04:07:11 +01:00
115 changed files with 1260 additions and 577 deletions

View File

@@ -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

View File

@@ -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 }

View File

@@ -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"

View File

@@ -1,4 +1,3 @@
use std::convert::TryInto;
use std::io;
use std::ops::{Range, RangeInclusive};

View File

@@ -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

View File

@@ -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"

View 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);
}

View File

@@ -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();

View File

@@ -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())
}
}
}

View File

@@ -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)
}

View File

@@ -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());

View File

@@ -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,

View File

@@ -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

View File

@@ -1,4 +1,3 @@
use std::convert::TryInto;
use std::io::{self, Write};
use common::BinarySerializable;

View File

@@ -1,5 +1,4 @@
use proptest::prelude::{any, prop, *};
use proptest::strategy::Strategy;
use proptest::prelude::*;
use proptest::{prop_oneof, proptest};
use super::*;

View File

@@ -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(

View File

@@ -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()

View File

@@ -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()),

View File

@@ -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)
}

View File

@@ -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::*;

View File

@@ -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

View File

@@ -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());

View File

@@ -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)))

View File

@@ -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);

View File

@@ -1,5 +1,4 @@
use proptest::prelude::*;
use proptest::strategy::Strategy;
use proptest::{prop_oneof, proptest};
#[test]

View File

@@ -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
}
}

View File

@@ -1,7 +1,3 @@
use std::collections::BTreeMap;
use itertools::Itertools;
use super::*;
use crate::{Cardinality, ColumnarWriter, HasAssociatedColumnType, RowId};

View File

@@ -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 => {

View File

@@ -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());
}

View File

@@ -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

View File

@@ -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
}

View File

@@ -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"] }

View File

@@ -1,4 +1,3 @@
use std::convert::TryInto;
use std::io::Write;
use std::{fmt, io, u64};

View File

@@ -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,

View File

@@ -15,8 +15,6 @@ 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;

View File

@@ -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();

View File

@@ -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"

View File

@@ -1,4 +1,3 @@
use std::convert::TryInto;
use std::ops::{Deref, Range};
use std::sync::Arc;
use std::{fmt, io};

View File

@@ -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"]

View File

@@ -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()

View File

@@ -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
}

View File

@@ -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]

View File

@@ -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>,

View File

@@ -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(())
}
}

View File

@@ -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())
}
}
}

View File

@@ -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.

View File

@@ -1,6 +1,5 @@
use std::fmt::Debug;
use columnar::ColumnType;
use serde::{Deserialize, Serialize};
use super::*;

View File

@@ -1,4 +1,3 @@
use columnar::ColumnType;
use serde::{Deserialize, Serialize};
use super::*;

View File

@@ -1,7 +1,8 @@
use std::collections::HashMap;
use std::fmt::Formatter;
use std::net::Ipv6Addr;
use columnar::{ColumnarReader, DynamicColumn};
use common::DateTime;
use regex::Regex;
use serde::ser::SerializeMap;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
@@ -12,6 +13,7 @@ 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;
@@ -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" ],

View File

@@ -159,6 +159,10 @@ use itertools::Itertools;
use serde::de::{self, Visitor};
use serde::{Deserialize, Deserializer, Serialize};
pub(crate) fn invalid_agg_request(message: String) -> crate::TantivyError {
crate::TantivyError::AggregationError(AggregationError::InvalidRequest(message))
}
fn parse_str_into_f64<E: de::Error>(value: &str) -> Result<f64, E> {
let parsed = value.parse::<f64>().map_err(|_err| {
de::Error::custom(format!("Failed to parse f64 from string: {:?}", value))
@@ -417,7 +421,6 @@ 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};

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@@ -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,

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@@ -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() {

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@@ -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);

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@@ -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())

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@@ -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,

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@@ -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> {

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@@ -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<()> {

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@@ -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};

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@@ -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 {

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@@ -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;

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@@ -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 {

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@@ -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)
}

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@@ -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;

View File

@@ -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();

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@@ -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

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@@ -1,4 +1,4 @@
use std::cmp::{Ord, Ordering};
use std::cmp::Ordering;
use std::error::Error;
use std::fmt;
use std::str::FromStr;

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@@ -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() {

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@@ -158,8 +158,7 @@ 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::schema::*;
use crate::{DocAddress, Index, IndexSettings, IndexSortByField, Order};
fn create_test_index(

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@@ -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>

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@@ -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;

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@@ -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);

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@@ -39,7 +39,6 @@ impl MergePolicy for NoMergePolicy {
pub mod tests {
use super::*;
use crate::index::{SegmentId, SegmentMeta};
/// `MergePolicy` useful for test purposes.
///

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@@ -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",
)

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@@ -144,6 +144,115 @@ 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.
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);
}
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 = |field_name: &str| {
let query = parse_query.parse_query(field_name).unwrap();
let num_docs = searcher.search(&query, &Count).unwrap();
assert_eq!(num_docs, 1);
};
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() {

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@@ -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> {

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@@ -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.
@@ -391,7 +392,6 @@ 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};

View File

@@ -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,
}
}

View File

@@ -67,10 +67,18 @@ impl<Rec: Recorder> PostingsWriter for JsonPostingsWriter<Rec> {
) -> io::Result<()> {
let mut term_buffer = Term::with_capacity(48);
let mut buffer_lender = BufferLender::default();
term_buffer.clear_with_field_and_type(Type::Json, Field::from_field_id(0));
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.truncate_value_bytes(0);
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_bytes();
prev_term_id = path_id.path_id();
}
term_buffer.truncate_value_bytes(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();

View File

@@ -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;

View File

@@ -1,5 +1,4 @@
use std::io;
use std::iter::ExactSizeIterator;
use std::ops::Range;
use common::{BinarySerializable, FixedSize};

View File

@@ -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);
}

View File

@@ -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) => {

View File

@@ -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)
}

View File

@@ -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)
}

View File

@@ -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<()> {

View File

@@ -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,
}

View File

@@ -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<()> {

View File

@@ -139,7 +139,7 @@ mod tests {
use crate::collector::{Count, TopDocs};
use crate::query::{Query, QueryParser, TermQuery};
use crate::schema::{IndexRecordOption, IntoIpv6Addr, Schema, INDEXED, STORED};
use crate::{doc, Index, IndexWriter, Term};
use crate::{Index, IndexWriter, Term};
#[test]
fn search_ip_test() {

View File

@@ -1,5 +1,5 @@
use super::term_scorer::TermScorer;
use crate::docset::{DocSet, BUFFER_LEN};
use crate::docset::{DocSet, COLLECT_BLOCK_BUFFER_LEN};
use crate::fieldnorm::FieldNormReader;
use crate::index::SegmentReader;
use crate::postings::SegmentPostings;
@@ -64,7 +64,7 @@ impl Weight for TermWeight {
callback: &mut dyn FnMut(&[DocId]),
) -> crate::Result<()> {
let mut scorer = self.specialized_scorer(reader, 1.0)?;
let mut buffer = [0u32; BUFFER_LEN];
let mut buffer = [0u32; COLLECT_BLOCK_BUFFER_LEN];
for_each_docset_buffered(&mut scorer, &mut buffer, callback);
Ok(())
}

View File

@@ -53,8 +53,7 @@ impl HasLen for VecDocSet {
pub mod tests {
use super::*;
use crate::docset::{DocSet, BUFFER_LEN};
use crate::DocId;
use crate::docset::COLLECT_BLOCK_BUFFER_LEN;
#[test]
pub fn test_vec_postings() {
@@ -72,16 +71,16 @@ pub mod tests {
#[test]
pub fn test_fill_buffer() {
let doc_ids: Vec<DocId> = (1u32..=(BUFFER_LEN as u32 * 2 + 9)).collect();
let doc_ids: Vec<DocId> = (1u32..=(COLLECT_BLOCK_BUFFER_LEN as u32 * 2 + 9)).collect();
let mut postings = VecDocSet::from(doc_ids);
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 + 1);
}
assert_eq!(postings.fill_buffer(&mut buffer), BUFFER_LEN);
for i in 0u32..BUFFER_LEN as u32 {
assert_eq!(buffer[i as usize], i + 1 + 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 + 1 + COLLECT_BLOCK_BUFFER_LEN as u32);
}
assert_eq!(postings.fill_buffer(&mut buffer), 9);
}

View File

@@ -1,5 +1,5 @@
use super::Scorer;
use crate::docset::BUFFER_LEN;
use crate::docset::COLLECT_BLOCK_BUFFER_LEN;
use crate::index::SegmentReader;
use crate::query::Explanation;
use crate::{DocId, DocSet, Score, TERMINATED};
@@ -22,7 +22,7 @@ pub(crate) fn for_each_scorer<TScorer: Scorer + ?Sized>(
#[inline]
pub(crate) fn for_each_docset_buffered<T: DocSet + ?Sized>(
docset: &mut T,
buffer: &mut [DocId; BUFFER_LEN],
buffer: &mut [DocId; COLLECT_BLOCK_BUFFER_LEN],
mut callback: impl FnMut(&[DocId]),
) {
loop {
@@ -105,7 +105,7 @@ pub trait Weight: Send + Sync + 'static {
) -> crate::Result<()> {
let mut docset = self.scorer(reader, 1.0)?;
let mut buffer = [0u32; BUFFER_LEN];
let mut buffer = [0u32; COLLECT_BLOCK_BUFFER_LEN];
for_each_docset_buffered(&mut docset, &mut buffer, callback);
Ok(())
}

View File

@@ -1,6 +1,5 @@
mod warming;
use std::convert::TryInto;
use std::sync::atomic::AtomicU64;
use std::sync::{atomic, Arc, Weak};

View File

@@ -1,7 +1,5 @@
use std::ops::BitOr;
#[allow(deprecated)]
pub use common::DatePrecision;
pub use common::DateTimePrecision;
use serde::{Deserialize, Serialize};

View File

@@ -160,7 +160,7 @@ pub enum ValueType {
/// A dynamic object value.
Object,
/// A JSON object value. Deprecated.
#[deprecated]
#[deprecated(note = "We keep this for backwards compatibility, use Object instead")]
JSONObject,
}
@@ -819,7 +819,6 @@ mod tests {
use crate::schema::document::existing_type_impls::JsonObjectIter;
use crate::schema::document::se::BinaryValueSerializer;
use crate::schema::document::{ReferenceValue, ReferenceValueLeaf};
use crate::schema::OwnedValue;
fn serialize_value<'a>(value: ReferenceValue<'a, &'a serde_json::Value>) -> Vec<u8> {
let mut writer = Vec::new();

View File

@@ -256,7 +256,6 @@ impl DocParsingError {
#[cfg(test)]
mod tests {
use crate::schema::document::default_document::TantivyDocument;
use crate::schema::*;
#[test]

View File

@@ -443,9 +443,7 @@ impl<'a> Iterator for ObjectMapIter<'a> {
mod tests {
use super::*;
use crate::schema::{BytesOptions, Schema};
use crate::time::format_description::well_known::Rfc3339;
use crate::time::OffsetDateTime;
use crate::{DateTime, Document, TantivyDocument};
use crate::{Document, TantivyDocument};
#[test]
fn test_parse_bytes_doc() {

View File

@@ -136,7 +136,6 @@ impl FieldEntry {
#[cfg(test)]
mod tests {
use serde_json;
use super::*;
use crate::schema::{Schema, TextFieldIndexing, TEXT};

View File

@@ -130,8 +130,6 @@ mod text_options;
use columnar::ColumnType;
pub use self::bytes_options::BytesOptions;
#[allow(deprecated)]
pub use self::date_time_options::DatePrecision;
pub use self::date_time_options::{DateOptions, DateTimePrecision, DATE_TIME_PRECISION_INDEXED};
pub use self::document::{DocParsingError, Document, OwnedValue, TantivyDocument, Value};
pub(crate) use self::facet::FACET_SEP_BYTE;
@@ -146,8 +144,6 @@ pub use self::index_record_option::IndexRecordOption;
pub use self::ip_options::{IntoIpv6Addr, IpAddrOptions};
pub use self::json_object_options::JsonObjectOptions;
pub use self::named_field_document::NamedFieldDocument;
#[allow(deprecated)]
pub use self::numeric_options::IntOptions;
pub use self::numeric_options::NumericOptions;
pub use self::schema::{Schema, SchemaBuilder};
pub use self::term::{Term, ValueBytes, JSON_END_OF_PATH};

View File

@@ -5,10 +5,6 @@ use serde::{Deserialize, Serialize};
use super::flags::CoerceFlag;
use crate::schema::flags::{FastFlag, IndexedFlag, SchemaFlagList, StoredFlag};
#[deprecated(since = "0.17.0", note = "Use NumericOptions instead.")]
/// Deprecated use [`NumericOptions`] instead.
pub type IntOptions = NumericOptions;
/// Define how an `u64`, `i64`, or `f64` field should be handled by tantivy.
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, Default)]
#[serde(from = "NumericOptionsDeser")]

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