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test_parse
| Author | SHA1 | Date | |
|---|---|---|---|
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|
4a9262cd2c |
24
CHANGELOG.md
24
CHANGELOG.md
@@ -1,26 +1,12 @@
|
||||
Tantivy 0.25
|
||||
Tantivy 0.23 - Unreleased
|
||||
================================
|
||||
|
||||
## Bugfixes
|
||||
- fix union performance regression in tantivy 0.24 [#2663](https://github.com/quickwit-oss/tantivy/pull/2663)(@PSeitz-dd)
|
||||
- make zstd optional in sstable [#2633](https://github.com/quickwit-oss/tantivy/pull/2633)(@Parth)
|
||||
|
||||
## Features/Improvements
|
||||
- add docs/example and Vec<u32> values to sstable [#2660](https://github.com/quickwit-oss/tantivy/pull/2660)(@PSeitz)
|
||||
- Add string fast field support to `TopDocs`. [#2642](https://github.com/quickwit-oss/tantivy/pull/2642)(@stuhood)
|
||||
- update edition to 2024 [#2620](https://github.com/quickwit-oss/tantivy/pull/2620)(@PSeitz)
|
||||
|
||||
Tantivy 0.24
|
||||
================================
|
||||
Tantivy 0.24 will be backwards compatible with indices created with v0.22 and v0.21. The new minimum rust version will be 1.75. Tantivy 0.23 will be skipped.
|
||||
Tantivy 0.23 will be backwards compatible with indices created with v0.22 and v0.21. The new minimum rust version will be 1.75.
|
||||
|
||||
#### Bugfixes
|
||||
- fix potential endless loop in merge [#2457](https://github.com/quickwit-oss/tantivy/pull/2457)(@PSeitz)
|
||||
- fix bug that causes out-of-order sstable key. [#2445](https://github.com/quickwit-oss/tantivy/pull/2445)(@fulmicoton)
|
||||
- fix ReferenceValue API flaw [#2372](https://github.com/quickwit-oss/tantivy/pull/2372)(@PSeitz)
|
||||
- fix `OwnedBytes` debug panic [#2512](https://github.com/quickwit-oss/tantivy/pull/2512)(@b41sh)
|
||||
- catch panics during merges [#2582](https://github.com/quickwit-oss/tantivy/pull/2582)(@rdettai)
|
||||
- switch from u32 to usize in bitpacker. This enables multivalued columns larger than 4GB, which crashed during merge before. [#2581](https://github.com/quickwit-oss/tantivy/pull/2581) [#2586](https://github.com/quickwit-oss/tantivy/pull/2586)(@fulmicoton-dd @PSeitz)
|
||||
|
||||
#### Breaking API Changes
|
||||
- remove index sorting [#2434](https://github.com/quickwit-oss/tantivy/pull/2434)(@PSeitz)
|
||||
@@ -38,7 +24,6 @@ Tantivy 0.24 will be backwards compatible with indices created with v0.22 and v0
|
||||
- reduce top hits memory consumption [#2426](https://github.com/quickwit-oss/tantivy/pull/2426)(@PSeitz)
|
||||
- check unsupported parameters top_hits [#2351](https://github.com/quickwit-oss/tantivy/pull/2351)(@PSeitz)
|
||||
- Change AggregationLimits to AggregationLimitsGuard [#2495](https://github.com/quickwit-oss/tantivy/pull/2495)(@PSeitz)
|
||||
- add support for counting non integer in aggregation [#2547](https://github.com/quickwit-oss/tantivy/pull/2547)(@trinity-1686a)
|
||||
- **Range Queries**
|
||||
- Support fast field range queries on json fields [#2456](https://github.com/quickwit-oss/tantivy/pull/2456)(@PSeitz)
|
||||
- Add support for str fast field range query [#2460](https://github.com/quickwit-oss/tantivy/pull/2460) [#2452](https://github.com/quickwit-oss/tantivy/pull/2452) [#2453](https://github.com/quickwit-oss/tantivy/pull/2453)(@PSeitz)
|
||||
@@ -49,8 +34,7 @@ Tantivy 0.24 will be backwards compatible with indices created with v0.22 and v0
|
||||
- add columnar format compatibility tests [#2433](https://github.com/quickwit-oss/tantivy/pull/2433)(@PSeitz)
|
||||
- Improved snippet ranges algorithm [#2474](https://github.com/quickwit-oss/tantivy/pull/2474)(@gezihuzi)
|
||||
- make find_field_with_default return json fields without path [#2476](https://github.com/quickwit-oss/tantivy/pull/2476)(@trinity-1686a)
|
||||
- Make `BooleanQuery` support `minimum_number_should_match` [#2405](https://github.com/quickwit-oss/tantivy/pull/2405)(@LebranceBW)
|
||||
- Make `NUM_MERGE_THREADS` configurable [#2535](https://github.com/quickwit-oss/tantivy/pull/2535)(@Barre)
|
||||
- feat(query): Make `BooleanQuery` support `minimum_number_should_match` [#2405](https://github.com/quickwit-oss/tantivy/pull/2405)(@LebranceBW)
|
||||
|
||||
- **RegexPhraseQuery**
|
||||
`RegexPhraseQuery` supports phrase queries with regex. E.g. query "b.* b.* wolf" matches "big bad wolf". Slop is supported as well: "b.* wolf"~2 matches "big bad wolf" [#2516](https://github.com/quickwit-oss/tantivy/pull/2516)(@PSeitz)
|
||||
@@ -76,9 +60,7 @@ This will slightly increase space and access time. [#2439](https://github.com/qu
|
||||
- fix de-escaping too much in query parser [#2427](https://github.com/quickwit-oss/tantivy/pull/2427)(@trinity-1686a)
|
||||
- improve query parser [#2416](https://github.com/quickwit-oss/tantivy/pull/2416)(@trinity-1686a)
|
||||
- Support field grouping `title:(return AND "pink panther")` [#2333](https://github.com/quickwit-oss/tantivy/pull/2333)(@trinity-1686a)
|
||||
- allow term starting with wildcard [#2568](https://github.com/quickwit-oss/tantivy/pull/2568)(@trinity-1686a)
|
||||
|
||||
- Exist queries match subpath fields [#2558](https://github.com/quickwit-oss/tantivy/pull/2558)(@rdettai)
|
||||
- add access benchmark for columnar [#2432](https://github.com/quickwit-oss/tantivy/pull/2432)(@PSeitz)
|
||||
- extend indexwriter proptests [#2342](https://github.com/quickwit-oss/tantivy/pull/2342)(@PSeitz)
|
||||
- add bench & test for columnar merging [#2428](https://github.com/quickwit-oss/tantivy/pull/2428)(@PSeitz)
|
||||
|
||||
39
Cargo.toml
39
Cargo.toml
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy"
|
||||
version = "0.24.0"
|
||||
version = "0.23.0"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
@@ -11,7 +11,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
|
||||
readme = "README.md"
|
||||
keywords = ["search", "information", "retrieval"]
|
||||
edition = "2021"
|
||||
rust-version = "1.85"
|
||||
rust-version = "1.75"
|
||||
exclude = ["benches/*.json", "benches/*.txt"]
|
||||
|
||||
[dependencies]
|
||||
@@ -31,14 +31,14 @@ lz4_flex = { version = "0.11", default-features = false, optional = true }
|
||||
zstd = { version = "0.13", optional = true, default-features = false }
|
||||
tempfile = { version = "3.12.0", optional = true }
|
||||
log = "0.4.16"
|
||||
serde = { version = "1.0.219", features = ["derive"] }
|
||||
serde_json = "1.0.140"
|
||||
fs4 = { version = "0.13.1", optional = true }
|
||||
serde = { version = "1.0.136", features = ["derive"] }
|
||||
serde_json = "1.0.79"
|
||||
fs4 = { version = "0.8.0", optional = true }
|
||||
levenshtein_automata = "0.2.1"
|
||||
uuid = { version = "1.0.0", features = ["v4", "serde"] }
|
||||
crossbeam-channel = "0.5.4"
|
||||
rust-stemmers = "1.2.0"
|
||||
downcast-rs = "2.0.1"
|
||||
downcast-rs = "1.2.1"
|
||||
bitpacking = { version = "0.9.2", default-features = false, features = [
|
||||
"bitpacker4x",
|
||||
] }
|
||||
@@ -52,22 +52,20 @@ smallvec = "1.8.0"
|
||||
rayon = "1.5.2"
|
||||
lru = "0.12.0"
|
||||
fastdivide = "0.4.0"
|
||||
itertools = "0.14.0"
|
||||
measure_time = "0.9.0"
|
||||
itertools = "0.13.0"
|
||||
measure_time = "0.8.2"
|
||||
arc-swap = "1.5.0"
|
||||
bon = "3.3.1"
|
||||
|
||||
columnar = { version = "0.5", path = "./columnar", package = "tantivy-columnar" }
|
||||
sstable = { version = "0.5", path = "./sstable", package = "tantivy-sstable", optional = true }
|
||||
stacker = { version = "0.5", path = "./stacker", package = "tantivy-stacker" }
|
||||
query-grammar = { version = "0.24.0", path = "./query-grammar", package = "tantivy-query-grammar" }
|
||||
tantivy-bitpacker = { version = "0.8", path = "./bitpacker" }
|
||||
common = { version = "0.9", path = "./common/", package = "tantivy-common" }
|
||||
tokenizer-api = { version = "0.5", 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 = "0.3.0", features = ["use_serde"] }
|
||||
hyperloglogplus = { version = "0.4.1", features = ["const-loop"] }
|
||||
futures-util = { version = "0.3.28", optional = true }
|
||||
futures-channel = { version = "0.3.28", optional = true }
|
||||
fnv = "1.0.7"
|
||||
|
||||
[target.'cfg(windows)'.dependencies]
|
||||
@@ -112,20 +110,17 @@ debug-assertions = true
|
||||
overflow-checks = true
|
||||
|
||||
[features]
|
||||
default = ["mmap", "stopwords", "lz4-compression", "columnar-zstd-compression"]
|
||||
default = ["mmap", "stopwords", "lz4-compression"]
|
||||
mmap = ["fs4", "tempfile", "memmap2"]
|
||||
stopwords = []
|
||||
|
||||
lz4-compression = ["lz4_flex"]
|
||||
zstd-compression = ["zstd"]
|
||||
|
||||
# enable zstd-compression in columnar (and sstable)
|
||||
columnar-zstd-compression = ["columnar/zstd-compression"]
|
||||
|
||||
failpoints = ["fail", "fail/failpoints"]
|
||||
unstable = [] # useful for benches.
|
||||
|
||||
quickwit = ["sstable", "futures-util", "futures-channel"]
|
||||
quickwit = ["sstable", "futures-util"]
|
||||
|
||||
# Compares only the hash of a string when indexing data.
|
||||
# Increases indexing speed, but may lead to extremely rare missing terms, when there's a hash collision.
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
name = "tantivy-bitpacker"
|
||||
version = "0.8.0"
|
||||
edition = "2024"
|
||||
version = "0.6.0"
|
||||
edition = "2021"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = []
|
||||
|
||||
@@ -1,7 +1,3 @@
|
||||
// manual divceil actually generates code that is not optimal (to accept the full range of u32) and
|
||||
// perf matters here.
|
||||
#![allow(clippy::manual_div_ceil)]
|
||||
|
||||
use std::io;
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
|
||||
@@ -69,7 +65,7 @@ impl BitPacker {
|
||||
|
||||
#[derive(Clone, Debug, Default, Copy)]
|
||||
pub struct BitUnpacker {
|
||||
num_bits: usize,
|
||||
num_bits: u32,
|
||||
mask: u64,
|
||||
}
|
||||
|
||||
@@ -87,7 +83,7 @@ impl BitUnpacker {
|
||||
(1u64 << num_bits) - 1u64
|
||||
};
|
||||
BitUnpacker {
|
||||
num_bits: usize::from(num_bits),
|
||||
num_bits: u32::from(num_bits),
|
||||
mask,
|
||||
}
|
||||
}
|
||||
@@ -98,14 +94,14 @@ impl BitUnpacker {
|
||||
|
||||
#[inline]
|
||||
pub fn get(&self, idx: u32, data: &[u8]) -> u64 {
|
||||
let addr_in_bits = idx as usize * self.num_bits;
|
||||
let addr = addr_in_bits >> 3;
|
||||
let addr_in_bits = idx * self.num_bits;
|
||||
let addr = (addr_in_bits >> 3) as usize;
|
||||
if addr + 8 > data.len() {
|
||||
if self.num_bits == 0 {
|
||||
return 0;
|
||||
}
|
||||
let bit_shift = addr_in_bits & 7;
|
||||
return self.get_slow_path(addr, bit_shift as u32, data);
|
||||
return self.get_slow_path(addr, bit_shift, data);
|
||||
}
|
||||
let bit_shift = addr_in_bits & 7;
|
||||
let bytes: [u8; 8] = (&data[addr..addr + 8]).try_into().unwrap();
|
||||
@@ -138,13 +134,12 @@ impl BitUnpacker {
|
||||
"Bitwidth must be <= 32 to use this method."
|
||||
);
|
||||
|
||||
let end_idx: u32 = start_idx + output.len() as u32;
|
||||
let end_idx = start_idx + output.len() as u32;
|
||||
|
||||
// We use `usize` here to avoid overflow issues.
|
||||
let end_bit_read = (end_idx as usize) * self.num_bits;
|
||||
let end_bit_read = end_idx * self.num_bits;
|
||||
let end_byte_read = (end_bit_read + 7) / 8;
|
||||
assert!(
|
||||
end_byte_read <= data.len(),
|
||||
end_byte_read as usize <= data.len(),
|
||||
"Requested index is out of bounds."
|
||||
);
|
||||
|
||||
@@ -164,24 +159,24 @@ impl BitUnpacker {
|
||||
// We want the start of the fast track to start align with bytes.
|
||||
// A sufficient condition is to start with an idx that is a multiple of 8,
|
||||
// so highway start is the closest multiple of 8 that is >= start_idx.
|
||||
let entrance_ramp_len: u32 = 8 - (start_idx % 8) % 8;
|
||||
let entrance_ramp_len = 8 - (start_idx % 8) % 8;
|
||||
|
||||
let highway_start: u32 = start_idx + entrance_ramp_len;
|
||||
|
||||
if highway_start + (BitPacker1x::BLOCK_LEN as u32) > end_idx {
|
||||
if highway_start + BitPacker1x::BLOCK_LEN as u32 > end_idx {
|
||||
// We don't have enough values to have even a single block of highway.
|
||||
// Let's just supply the values the simple way.
|
||||
get_batch_ramp(start_idx, output);
|
||||
return;
|
||||
}
|
||||
|
||||
let num_blocks: usize = (end_idx - highway_start) as usize / BitPacker1x::BLOCK_LEN;
|
||||
let num_blocks: u32 = (end_idx - highway_start) / BitPacker1x::BLOCK_LEN as u32;
|
||||
|
||||
// Entrance ramp
|
||||
get_batch_ramp(start_idx, &mut output[..entrance_ramp_len as usize]);
|
||||
|
||||
// Highway
|
||||
let mut offset = (highway_start as usize * self.num_bits) / 8;
|
||||
let mut offset = (highway_start * self.num_bits) as usize / 8;
|
||||
let mut output_cursor = (highway_start - start_idx) as usize;
|
||||
for _ in 0..num_blocks {
|
||||
offset += BitPacker1x.decompress(
|
||||
@@ -193,7 +188,7 @@ impl BitUnpacker {
|
||||
}
|
||||
|
||||
// Exit ramp
|
||||
let highway_end: u32 = highway_start + (num_blocks * BitPacker1x::BLOCK_LEN) as u32;
|
||||
let highway_end = highway_start + num_blocks * BitPacker1x::BLOCK_LEN as u32;
|
||||
get_batch_ramp(highway_end, &mut output[output_cursor..]);
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use super::bitpacker::BitPacker;
|
||||
use super::compute_num_bits;
|
||||
use crate::{BitUnpacker, minmax};
|
||||
use crate::{minmax, BitUnpacker};
|
||||
|
||||
const BLOCK_SIZE: usize = 128;
|
||||
|
||||
@@ -34,7 +34,7 @@ struct BlockedBitpackerEntryMetaData {
|
||||
|
||||
impl BlockedBitpackerEntryMetaData {
|
||||
fn new(offset: u64, num_bits: u8, base_value: u64) -> Self {
|
||||
let encoded = offset | (u64::from(num_bits) << (64 - 8));
|
||||
let encoded = offset | (num_bits as u64) << (64 - 8);
|
||||
Self {
|
||||
encoded,
|
||||
base_value,
|
||||
@@ -140,9 +140,10 @@ impl BlockedBitpacker {
|
||||
pub fn iter(&self) -> impl Iterator<Item = u64> + '_ {
|
||||
// todo performance: we could decompress a whole block and cache it instead
|
||||
let bitpacked_elems = self.offset_and_bits.len() * BLOCK_SIZE;
|
||||
(0..bitpacked_elems)
|
||||
let iter = (0..bitpacked_elems)
|
||||
.map(move |idx| self.get(idx))
|
||||
.chain(self.buffer.iter().cloned())
|
||||
.chain(self.buffer.iter().cloned());
|
||||
iter
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
// #[allow(clippy::manual_div_ceil)]
|
||||
|
||||
mod bitpacker;
|
||||
mod blocked_bitpacker;
|
||||
mod filter_vec;
|
||||
@@ -35,7 +33,11 @@ pub use crate::blocked_bitpacker::BlockedBitpacker;
|
||||
/// number of bits.
|
||||
pub fn compute_num_bits(n: u64) -> u8 {
|
||||
let amplitude = (64u32 - n.leading_zeros()) as u8;
|
||||
if amplitude <= 64 - 8 { amplitude } else { 64 }
|
||||
if amplitude <= 64 - 8 {
|
||||
amplitude
|
||||
} else {
|
||||
64
|
||||
}
|
||||
}
|
||||
|
||||
/// Computes the (min, max) of an iterator of `PartialOrd` values.
|
||||
|
||||
@@ -16,14 +16,14 @@ body = """
|
||||
|
||||
{%- if version %} in {{ version }}{%- endif -%}
|
||||
{% for commit in commits %}
|
||||
{% if commit.remote.pr_title -%}
|
||||
{%- set commit_message = commit.remote.pr_title -%}
|
||||
{% 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.remote.pr_number %} \
|
||||
[#{{ commit.remote.pr_number }}]({{ self::remote_url() }}/pull/{{ commit.remote.pr_number }}){% if commit.remote.username %}(@{{ commit.remote.username }}){%- endif -%} \
|
||||
{% 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 -%}
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
name = "tantivy-columnar"
|
||||
version = "0.5.0"
|
||||
edition = "2024"
|
||||
version = "0.3.0"
|
||||
edition = "2021"
|
||||
license = "MIT"
|
||||
homepage = "https://github.com/quickwit-oss/tantivy"
|
||||
repository = "https://github.com/quickwit-oss/tantivy"
|
||||
@@ -9,15 +9,15 @@ description = "column oriented storage for tantivy"
|
||||
categories = ["database-implementations", "data-structures", "compression"]
|
||||
|
||||
[dependencies]
|
||||
itertools = "0.14.0"
|
||||
itertools = "0.13.0"
|
||||
fastdivide = "0.4.0"
|
||||
|
||||
stacker = { version= "0.5", path = "../stacker", package="tantivy-stacker"}
|
||||
sstable = { version= "0.5", path = "../sstable", package = "tantivy-sstable" }
|
||||
common = { version= "0.9", path = "../common", package = "tantivy-common" }
|
||||
tantivy-bitpacker = { version= "0.8", 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 = "2.0.1"
|
||||
downcast-rs = "1.2.0"
|
||||
|
||||
[dev-dependencies]
|
||||
proptest = "1"
|
||||
@@ -33,6 +33,6 @@ harness = false
|
||||
name = "bench_access"
|
||||
harness = false
|
||||
|
||||
|
||||
[features]
|
||||
unstable = []
|
||||
zstd-compression = ["sstable/zstd-compression"]
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use binggan::{InputGroup, black_box};
|
||||
use binggan::{black_box, InputGroup};
|
||||
use common::*;
|
||||
use tantivy_columnar::Column;
|
||||
|
||||
|
||||
@@ -4,9 +4,9 @@ extern crate test;
|
||||
use std::sync::Arc;
|
||||
|
||||
use rand::prelude::*;
|
||||
use tantivy_columnar::column_values::{CodecType, serialize_and_load_u64_based_column_values};
|
||||
use tantivy_columnar::column_values::{serialize_and_load_u64_based_column_values, CodecType};
|
||||
use tantivy_columnar::*;
|
||||
use test::{Bencher, black_box};
|
||||
use test::{black_box, Bencher};
|
||||
|
||||
struct Columns {
|
||||
pub optional: Column,
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
pub mod common;
|
||||
|
||||
use binggan::BenchRunner;
|
||||
use common::{Card, generate_columnar_with_name};
|
||||
use common::{generate_columnar_with_name, Card};
|
||||
use tantivy_columnar::*;
|
||||
|
||||
const NUM_DOCS: u32 = 100_000;
|
||||
|
||||
@@ -6,7 +6,7 @@ use std::sync::Arc;
|
||||
use common::OwnedBytes;
|
||||
use rand::rngs::StdRng;
|
||||
use rand::seq::SliceRandom;
|
||||
use rand::{Rng, SeedableRng, random};
|
||||
use rand::{random, Rng, SeedableRng};
|
||||
use tantivy_columnar::ColumnValues;
|
||||
use test::Bencher;
|
||||
extern crate test;
|
||||
|
||||
@@ -5,7 +5,7 @@ use std::ops::RangeInclusive;
|
||||
use std::sync::Arc;
|
||||
|
||||
use rand::prelude::*;
|
||||
use tantivy_columnar::column_values::{CodecType, serialize_and_load_u64_based_column_values};
|
||||
use tantivy_columnar::column_values::{serialize_and_load_u64_based_column_values, CodecType};
|
||||
use tantivy_columnar::*;
|
||||
use test::Bencher;
|
||||
|
||||
|
||||
@@ -1,18 +0,0 @@
|
||||
[package]
|
||||
name = "tantivy-columnar-inspect"
|
||||
version = "0.1.0"
|
||||
edition = "2021"
|
||||
license = "MIT"
|
||||
|
||||
[dependencies]
|
||||
tantivy = {path="../..", package="tantivy"}
|
||||
columnar = {path="../", package="tantivy-columnar"}
|
||||
common = {path="../../common", package="tantivy-common"}
|
||||
|
||||
[workspace]
|
||||
members = []
|
||||
|
||||
[profile.release]
|
||||
debug = true
|
||||
#debug-assertions = true
|
||||
#overflow-checks = true
|
||||
@@ -1,54 +0,0 @@
|
||||
use columnar::ColumnarReader;
|
||||
use common::file_slice::{FileSlice, WrapFile};
|
||||
use std::io;
|
||||
use std::path::Path;
|
||||
use tantivy::directory::footer::Footer;
|
||||
|
||||
fn main() -> io::Result<()> {
|
||||
println!("Opens a columnar file written by tantivy and validates it.");
|
||||
let path = std::env::args().nth(1).unwrap();
|
||||
|
||||
let path = Path::new(&path);
|
||||
println!("Reading {:?}", path);
|
||||
let _reader = open_and_validate_columnar(path.to_str().unwrap())?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub fn validate_columnar_reader(reader: &ColumnarReader) {
|
||||
let num_rows = reader.num_rows();
|
||||
println!("num_rows: {}", num_rows);
|
||||
let columns = reader.list_columns().unwrap();
|
||||
println!("num columns: {:?}", columns.len());
|
||||
for (col_name, dynamic_column_handle) in columns {
|
||||
let col = dynamic_column_handle.open().unwrap();
|
||||
match col {
|
||||
columnar::DynamicColumn::Bool(_)
|
||||
| columnar::DynamicColumn::I64(_)
|
||||
| columnar::DynamicColumn::U64(_)
|
||||
| columnar::DynamicColumn::F64(_)
|
||||
| columnar::DynamicColumn::IpAddr(_)
|
||||
| columnar::DynamicColumn::DateTime(_)
|
||||
| columnar::DynamicColumn::Bytes(_) => {}
|
||||
columnar::DynamicColumn::Str(str_column) => {
|
||||
let num_vals = str_column.ords().values.num_vals();
|
||||
let num_terms_dict = str_column.num_terms() as u64;
|
||||
let max_ord = str_column.ords().values.iter().max().unwrap_or_default();
|
||||
println!("{col_name:35} num_vals {num_vals:10} \t num_terms_dict {num_terms_dict:8} max_ord: {max_ord:8}",);
|
||||
for ord in str_column.ords().values.iter() {
|
||||
assert!(ord < num_terms_dict);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Opens a columnar file that was written by tantivy and validates it.
|
||||
pub fn open_and_validate_columnar(path: &str) -> io::Result<ColumnarReader> {
|
||||
let wrap_file = WrapFile::new(std::fs::File::open(path)?)?;
|
||||
let slice = FileSlice::new(std::sync::Arc::new(wrap_file));
|
||||
let (_footer, slice) = Footer::extract_footer(slice.clone()).unwrap();
|
||||
let reader = ColumnarReader::open(slice).unwrap();
|
||||
validate_columnar_reader(&reader);
|
||||
Ok(reader)
|
||||
}
|
||||
@@ -66,7 +66,7 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
|
||||
&'a self,
|
||||
docs: &'a [u32],
|
||||
accessor: &Column<T>,
|
||||
) -> impl Iterator<Item = (DocId, T)> + 'a + use<'a, T> {
|
||||
) -> impl Iterator<Item = (DocId, T)> + 'a {
|
||||
if accessor.index.get_cardinality().is_full() {
|
||||
docs.iter().cloned().zip(self.val_cache.iter().cloned())
|
||||
} else {
|
||||
@@ -139,7 +139,7 @@ mod tests {
|
||||
missing_docs.push(missing_doc);
|
||||
});
|
||||
|
||||
assert_eq!(missing_docs, Vec::<u32>::new());
|
||||
assert_eq!(missing_docs, vec![]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -4,8 +4,8 @@ use std::{fmt, io};
|
||||
|
||||
use sstable::{Dictionary, VoidSSTable};
|
||||
|
||||
use crate::RowId;
|
||||
use crate::column::Column;
|
||||
use crate::RowId;
|
||||
|
||||
/// Dictionary encoded column.
|
||||
///
|
||||
|
||||
@@ -9,14 +9,13 @@ use std::sync::Arc;
|
||||
use common::BinarySerializable;
|
||||
pub use dictionary_encoded::{BytesColumn, StrColumn};
|
||||
pub use serialize::{
|
||||
open_column_bytes, open_column_str, open_column_u64, open_column_u128,
|
||||
open_column_u128_as_compact_u64, serialize_column_mappable_to_u64,
|
||||
serialize_column_mappable_to_u128,
|
||||
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, Set};
|
||||
use crate::column_values::monotonic_mapping::StrictlyMonotonicMappingToInternal;
|
||||
use crate::column_values::{ColumnValues, monotonic_map_column};
|
||||
use crate::column_values::{monotonic_map_column, ColumnValues};
|
||||
use crate::{Cardinality, DocId, EmptyColumnValues, MonotonicallyMappableToU64, RowId};
|
||||
|
||||
#[derive(Clone)]
|
||||
@@ -114,7 +113,7 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
|
||||
}
|
||||
}
|
||||
|
||||
/// Translates a block of docids to row_ids.
|
||||
/// Translates a block of docis to row_ids.
|
||||
///
|
||||
/// returns the row_ids and the matching docids on the same index
|
||||
/// e.g.
|
||||
|
||||
@@ -6,10 +6,10 @@ use common::OwnedBytes;
|
||||
use sstable::Dictionary;
|
||||
|
||||
use crate::column::{BytesColumn, Column};
|
||||
use crate::column_index::{SerializableColumnIndex, serialize_column_index};
|
||||
use crate::column_index::{serialize_column_index, SerializableColumnIndex};
|
||||
use crate::column_values::{
|
||||
CodecType, MonotonicallyMappableToU64, MonotonicallyMappableToU128,
|
||||
load_u64_based_column_values, serialize_column_values_u128, serialize_u64_based_column_values,
|
||||
CodecType, MonotonicallyMappableToU128, MonotonicallyMappableToU64,
|
||||
};
|
||||
use crate::iterable::Iterable;
|
||||
use crate::{StrColumn, Version};
|
||||
|
||||
@@ -99,9 +99,9 @@ mod tests {
|
||||
|
||||
use crate::column_index::merge::detect_cardinality;
|
||||
use crate::column_index::multivalued_index::{
|
||||
MultiValueIndex, open_multivalued_index, serialize_multivalued_index,
|
||||
open_multivalued_index, serialize_multivalued_index, MultiValueIndex,
|
||||
};
|
||||
use crate::column_index::{OptionalIndex, SerializableColumnIndex, merge_column_index};
|
||||
use crate::column_index::{merge_column_index, OptionalIndex, SerializableColumnIndex};
|
||||
use crate::{
|
||||
Cardinality, ColumnIndex, MergeRowOrder, RowAddr, RowId, ShuffleMergeOrder, StackMergeOrder,
|
||||
};
|
||||
|
||||
@@ -137,8 +137,8 @@ impl Iterable<u32> for ShuffledMultivaluedIndex<'_> {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::RowAddr;
|
||||
use crate::column_index::OptionalIndex;
|
||||
use crate::RowAddr;
|
||||
|
||||
#[test]
|
||||
fn test_integrate_num_vals_empty() {
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
use std::ops::Range;
|
||||
|
||||
use crate::column_index::SerializableColumnIndex;
|
||||
use crate::column_index::multivalued_index::{MultiValueIndex, SerializableMultivalueIndex};
|
||||
use crate::column_index::serialize::SerializableOptionalIndex;
|
||||
use crate::column_index::SerializableColumnIndex;
|
||||
use crate::iterable::Iterable;
|
||||
use crate::{Cardinality, ColumnIndex, RowId, StackMergeOrder};
|
||||
|
||||
@@ -56,7 +56,7 @@ fn get_doc_ids_with_values<'a>(
|
||||
ColumnIndex::Full => Box::new(doc_range),
|
||||
ColumnIndex::Optional(optional_index) => Box::new(
|
||||
optional_index
|
||||
.iter_docs()
|
||||
.iter_rows()
|
||||
.map(move |row| row + doc_range.start),
|
||||
),
|
||||
ColumnIndex::Multivalued(multivalued_index) => match multivalued_index {
|
||||
@@ -73,7 +73,7 @@ fn get_doc_ids_with_values<'a>(
|
||||
MultiValueIndex::MultiValueIndexV2(multivalued_index) => Box::new(
|
||||
multivalued_index
|
||||
.optional_index
|
||||
.iter_docs()
|
||||
.iter_rows()
|
||||
.map(move |row| row + doc_range.start),
|
||||
),
|
||||
},
|
||||
@@ -177,7 +177,7 @@ impl<'a> Iterable<RowId> for StackedOptionalIndex<'a> {
|
||||
ColumnIndex::Full => Box::new(columnar_row_range),
|
||||
ColumnIndex::Optional(optional_index) => Box::new(
|
||||
optional_index
|
||||
.iter_docs()
|
||||
.iter_rows()
|
||||
.map(move |row_id: RowId| columnar_row_range.start + row_id),
|
||||
),
|
||||
ColumnIndex::Multivalued(_) => {
|
||||
|
||||
@@ -14,7 +14,7 @@ pub use merge::merge_column_index;
|
||||
pub(crate) use multivalued_index::SerializableMultivalueIndex;
|
||||
pub use optional_index::{OptionalIndex, Set};
|
||||
pub use serialize::{
|
||||
SerializableColumnIndex, SerializableOptionalIndex, open_column_index, serialize_column_index,
|
||||
open_column_index, serialize_column_index, SerializableColumnIndex, SerializableOptionalIndex,
|
||||
};
|
||||
|
||||
use crate::column_index::multivalued_index::MultiValueIndex;
|
||||
|
||||
@@ -8,7 +8,7 @@ use common::{CountingWriter, OwnedBytes};
|
||||
use super::optional_index::{open_optional_index, serialize_optional_index};
|
||||
use super::{OptionalIndex, SerializableOptionalIndex, Set};
|
||||
use crate::column_values::{
|
||||
CodecType, ColumnValues, load_u64_based_column_values, serialize_u64_based_column_values,
|
||||
load_u64_based_column_values, serialize_u64_based_column_values, CodecType, ColumnValues,
|
||||
};
|
||||
use crate::iterable::Iterable;
|
||||
use crate::{DocId, RowId, Version};
|
||||
|
||||
@@ -7,7 +7,7 @@ mod set_block;
|
||||
use common::{BinarySerializable, OwnedBytes, VInt};
|
||||
pub use set::{SelectCursor, Set, SetCodec};
|
||||
use set_block::{
|
||||
DENSE_BLOCK_NUM_BYTES, DenseBlock, DenseBlockCodec, SparseBlock, SparseBlockCodec,
|
||||
DenseBlock, DenseBlockCodec, SparseBlock, SparseBlockCodec, DENSE_BLOCK_NUM_BYTES,
|
||||
};
|
||||
|
||||
use crate::iterable::Iterable;
|
||||
@@ -80,23 +80,23 @@ impl BlockVariant {
|
||||
/// index is the block index. For each block `byte_start` and `offset` is computed.
|
||||
#[derive(Clone)]
|
||||
pub struct OptionalIndex {
|
||||
num_docs: RowId,
|
||||
num_non_null_docs: RowId,
|
||||
num_rows: RowId,
|
||||
num_non_null_rows: RowId,
|
||||
block_data: OwnedBytes,
|
||||
block_metas: Arc<[BlockMeta]>,
|
||||
}
|
||||
|
||||
impl Iterable<u32> for &OptionalIndex {
|
||||
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
|
||||
Box::new(self.iter_docs())
|
||||
Box::new(self.iter_rows())
|
||||
}
|
||||
}
|
||||
|
||||
impl std::fmt::Debug for OptionalIndex {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
|
||||
f.debug_struct("OptionalIndex")
|
||||
.field("num_docs", &self.num_docs)
|
||||
.field("num_non_null_docs", &self.num_non_null_docs)
|
||||
.field("num_rows", &self.num_rows)
|
||||
.field("num_non_null_rows", &self.num_non_null_rows)
|
||||
.finish_non_exhaustive()
|
||||
}
|
||||
}
|
||||
@@ -259,13 +259,11 @@ impl Set<RowId> for OptionalIndex {
|
||||
|
||||
impl OptionalIndex {
|
||||
pub fn for_test(num_rows: RowId, row_ids: &[RowId]) -> OptionalIndex {
|
||||
assert!(
|
||||
row_ids
|
||||
.last()
|
||||
.copied()
|
||||
.map(|last_row_id| last_row_id < num_rows)
|
||||
.unwrap_or(true)
|
||||
);
|
||||
assert!(row_ids
|
||||
.last()
|
||||
.copied()
|
||||
.map(|last_row_id| last_row_id < num_rows)
|
||||
.unwrap_or(true));
|
||||
let mut buffer = Vec::new();
|
||||
serialize_optional_index(&row_ids, num_rows, &mut buffer).unwrap();
|
||||
let bytes = OwnedBytes::new(buffer);
|
||||
@@ -273,17 +271,17 @@ impl OptionalIndex {
|
||||
}
|
||||
|
||||
pub fn num_docs(&self) -> RowId {
|
||||
self.num_docs
|
||||
self.num_rows
|
||||
}
|
||||
|
||||
pub fn num_non_nulls(&self) -> RowId {
|
||||
self.num_non_null_docs
|
||||
self.num_non_null_rows
|
||||
}
|
||||
|
||||
pub fn iter_docs(&self) -> impl Iterator<Item = RowId> + '_ {
|
||||
pub fn iter_rows(&self) -> impl Iterator<Item = RowId> + '_ {
|
||||
// TODO optimize
|
||||
let mut select_batch = self.select_cursor();
|
||||
(0..self.num_non_null_docs).map(move |rank| select_batch.select(rank))
|
||||
(0..self.num_non_null_rows).map(move |rank| select_batch.select(rank))
|
||||
}
|
||||
pub fn select_batch(&self, ranks: &mut [RowId]) {
|
||||
let mut select_cursor = self.select_cursor();
|
||||
@@ -521,15 +519,15 @@ pub fn open_optional_index(bytes: OwnedBytes) -> io::Result<OptionalIndex> {
|
||||
let (mut bytes, num_non_empty_blocks_bytes) = bytes.rsplit(2);
|
||||
let num_non_empty_block_bytes =
|
||||
u16::from_le_bytes(num_non_empty_blocks_bytes.as_slice().try_into().unwrap());
|
||||
let num_docs = VInt::deserialize_u64(&mut bytes)? as u32;
|
||||
let num_rows = VInt::deserialize_u64(&mut bytes)? as u32;
|
||||
let block_metas_num_bytes =
|
||||
num_non_empty_block_bytes as usize * SERIALIZED_BLOCK_META_NUM_BYTES;
|
||||
let (block_data, block_metas) = bytes.rsplit(block_metas_num_bytes);
|
||||
let (block_metas, num_non_null_docs) =
|
||||
deserialize_optional_index_block_metadatas(block_metas.as_slice(), num_docs);
|
||||
let (block_metas, num_non_null_rows) =
|
||||
deserialize_optional_index_block_metadatas(block_metas.as_slice(), num_rows);
|
||||
let optional_index = OptionalIndex {
|
||||
num_docs,
|
||||
num_non_null_docs,
|
||||
num_rows,
|
||||
num_non_null_rows,
|
||||
block_data,
|
||||
block_metas: block_metas.into(),
|
||||
};
|
||||
|
||||
@@ -2,7 +2,7 @@ use std::io::{self, Write};
|
||||
|
||||
use common::BinarySerializable;
|
||||
|
||||
use crate::column_index::optional_index::{ELEMENTS_PER_BLOCK, SelectCursor, Set, SetCodec};
|
||||
use crate::column_index::optional_index::{SelectCursor, Set, SetCodec, ELEMENTS_PER_BLOCK};
|
||||
|
||||
#[inline(always)]
|
||||
fn get_bit_at(input: u64, n: u16) -> bool {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
mod dense;
|
||||
mod sparse;
|
||||
|
||||
pub use dense::{DENSE_BLOCK_NUM_BYTES, DenseBlock, DenseBlockCodec};
|
||||
pub use dense::{DenseBlock, DenseBlockCodec, DENSE_BLOCK_NUM_BYTES};
|
||||
pub use sparse::{SparseBlock, SparseBlockCodec};
|
||||
|
||||
#[cfg(test)]
|
||||
|
||||
@@ -164,7 +164,7 @@ fn test_optional_index_large() {
|
||||
fn test_optional_index_iter_aux(row_ids: &[RowId], num_rows: RowId) {
|
||||
let optional_index = OptionalIndex::for_test(num_rows, row_ids);
|
||||
assert_eq!(optional_index.num_docs(), num_rows);
|
||||
assert!(optional_index.iter_docs().eq(row_ids.iter().copied()));
|
||||
assert!(optional_index.iter_rows().eq(row_ids.iter().copied()));
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -254,7 +254,11 @@ mod bench {
|
||||
let mut current = start;
|
||||
std::iter::from_fn(move || {
|
||||
current += rng.gen_range(avg_step_size - avg_deviation..=avg_step_size + avg_deviation);
|
||||
if current >= end { None } else { Some(current) }
|
||||
if current >= end {
|
||||
None
|
||||
} else {
|
||||
Some(current)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
@@ -3,11 +3,11 @@ use std::io::Write;
|
||||
|
||||
use common::{CountingWriter, OwnedBytes};
|
||||
|
||||
use super::OptionalIndex;
|
||||
use super::multivalued_index::SerializableMultivalueIndex;
|
||||
use crate::column_index::ColumnIndex;
|
||||
use super::OptionalIndex;
|
||||
use crate::column_index::multivalued_index::serialize_multivalued_index;
|
||||
use crate::column_index::optional_index::serialize_optional_index;
|
||||
use crate::column_index::ColumnIndex;
|
||||
use crate::iterable::Iterable;
|
||||
use crate::{Cardinality, RowId, Version};
|
||||
|
||||
|
||||
@@ -11,7 +11,7 @@ use crate::column_values::u64_based::*;
|
||||
fn get_data() -> Vec<u64> {
|
||||
let mut rng = StdRng::seed_from_u64(2u64);
|
||||
let mut data: Vec<_> = (100..55000_u64)
|
||||
.map(|num| num + rng.r#gen::<u8>() as u64)
|
||||
.map(|num| num + rng.gen::<u8>() as u64)
|
||||
.collect();
|
||||
data.push(99_000);
|
||||
data.insert(1000, 2000);
|
||||
|
||||
@@ -26,13 +26,13 @@ mod monotonic_column;
|
||||
|
||||
pub(crate) use merge::MergedColumnValues;
|
||||
pub use stats::ColumnStats;
|
||||
pub use u64_based::{
|
||||
ALL_U64_CODEC_TYPES, CodecType, load_u64_based_column_values,
|
||||
serialize_and_load_u64_based_column_values, serialize_u64_based_column_values,
|
||||
};
|
||||
pub use u128_based::{
|
||||
CompactSpaceU64Accessor, open_u128_as_compact_u64, open_u128_mapped,
|
||||
serialize_column_values_u128,
|
||||
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,
|
||||
};
|
||||
pub use vec_column::VecColumn;
|
||||
|
||||
|
||||
@@ -2,8 +2,8 @@ use std::fmt::Debug;
|
||||
use std::marker::PhantomData;
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
|
||||
use crate::ColumnValues;
|
||||
use crate::column_values::monotonic_mapping::StrictlyMonotonicFn;
|
||||
use crate::ColumnValues;
|
||||
|
||||
struct MonotonicMappingColumn<C, T, Input> {
|
||||
from_column: C,
|
||||
@@ -99,10 +99,10 @@ where
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::column_values::VecColumn;
|
||||
use crate::column_values::monotonic_mapping::{
|
||||
StrictlyMonotonicMappingInverter, StrictlyMonotonicMappingToInternal,
|
||||
};
|
||||
use crate::column_values::VecColumn;
|
||||
|
||||
#[test]
|
||||
fn test_monotonic_mapping_iter() {
|
||||
|
||||
@@ -24,8 +24,8 @@ use build_compact_space::get_compact_space;
|
||||
use common::{BinarySerializable, CountingWriter, OwnedBytes, VInt, VIntU128};
|
||||
use tantivy_bitpacker::{BitPacker, BitUnpacker};
|
||||
|
||||
use crate::RowId;
|
||||
use crate::column_values::ColumnValues;
|
||||
use crate::RowId;
|
||||
|
||||
/// The cost per blank is quite hard actually, since blanks are delta encoded, the actual cost of
|
||||
/// blanks depends on the number of blanks.
|
||||
@@ -653,14 +653,12 @@ mod tests {
|
||||
),
|
||||
&[3]
|
||||
);
|
||||
assert!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99998u128..=99998u128,
|
||||
complete_range.clone()
|
||||
)
|
||||
.is_empty()
|
||||
);
|
||||
assert!(get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99998u128..=99998u128,
|
||||
complete_range.clone()
|
||||
)
|
||||
.is_empty());
|
||||
assert_eq!(
|
||||
&get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
|
||||
@@ -130,11 +130,11 @@ pub fn open_u128_as_compact_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn Col
|
||||
#[cfg(test)]
|
||||
pub(crate) mod tests {
|
||||
use super::*;
|
||||
use crate::column_values::CodecType;
|
||||
use crate::column_values::u64_based::{
|
||||
ALL_U64_CODEC_TYPES, serialize_and_load_u64_based_column_values,
|
||||
serialize_u64_based_column_values,
|
||||
serialize_and_load_u64_based_column_values, serialize_u64_based_column_values,
|
||||
ALL_U64_CODEC_TYPES,
|
||||
};
|
||||
use crate::column_values::CodecType;
|
||||
|
||||
#[test]
|
||||
fn test_serialize_deserialize_u128_header() {
|
||||
|
||||
@@ -4,7 +4,7 @@ use std::ops::{Range, RangeInclusive};
|
||||
|
||||
use common::{BinarySerializable, OwnedBytes};
|
||||
use fastdivide::DividerU64;
|
||||
use tantivy_bitpacker::{BitPacker, BitUnpacker, compute_num_bits};
|
||||
use tantivy_bitpacker::{compute_num_bits, BitPacker, BitUnpacker};
|
||||
|
||||
use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats};
|
||||
use crate::{ColumnValues, RowId};
|
||||
@@ -23,7 +23,11 @@ const fn div_ceil(n: u64, q: NonZeroU64) -> u64 {
|
||||
// copied from unstable rust standard library.
|
||||
let d = n / q.get();
|
||||
let r = n % q.get();
|
||||
if r > 0 { d + 1 } else { d }
|
||||
if r > 0 {
|
||||
d + 1
|
||||
} else {
|
||||
d
|
||||
}
|
||||
}
|
||||
|
||||
// The bitpacked codec applies a linear transformation `f` over data that are bitpacked.
|
||||
|
||||
@@ -4,12 +4,12 @@ use std::{io, iter};
|
||||
|
||||
use common::{BinarySerializable, CountingWriter, DeserializeFrom, OwnedBytes};
|
||||
use fastdivide::DividerU64;
|
||||
use tantivy_bitpacker::{BitPacker, BitUnpacker, compute_num_bits};
|
||||
use tantivy_bitpacker::{compute_num_bits, BitPacker, BitUnpacker};
|
||||
|
||||
use crate::MonotonicallyMappableToU64;
|
||||
use crate::column_values::u64_based::line::Line;
|
||||
use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats};
|
||||
use crate::column_values::{ColumnValues, VecColumn};
|
||||
use crate::MonotonicallyMappableToU64;
|
||||
|
||||
const BLOCK_SIZE: u32 = 512u32;
|
||||
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
use std::io;
|
||||
|
||||
use common::{BinarySerializable, OwnedBytes};
|
||||
use tantivy_bitpacker::{BitPacker, BitUnpacker, compute_num_bits};
|
||||
use tantivy_bitpacker::{compute_num_bits, BitPacker, BitUnpacker};
|
||||
|
||||
use super::ColumnValues;
|
||||
use super::line::Line;
|
||||
use crate::RowId;
|
||||
use crate::column_values::VecColumn;
|
||||
use super::ColumnValues;
|
||||
use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats};
|
||||
use crate::column_values::VecColumn;
|
||||
use crate::RowId;
|
||||
|
||||
const HALF_SPACE: u64 = u64::MAX / 2;
|
||||
const LINE_ESTIMATION_BLOCK_LEN: usize = 512;
|
||||
|
||||
@@ -17,7 +17,7 @@ pub use crate::column_values::u64_based::bitpacked::BitpackedCodec;
|
||||
pub use crate::column_values::u64_based::blockwise_linear::BlockwiseLinearCodec;
|
||||
pub use crate::column_values::u64_based::linear::LinearCodec;
|
||||
pub use crate::column_values::u64_based::stats_collector::StatsCollector;
|
||||
use crate::column_values::{ColumnStats, monotonic_map_column};
|
||||
use crate::column_values::{monotonic_map_column, ColumnStats};
|
||||
use crate::iterable::Iterable;
|
||||
use crate::{ColumnValues, MonotonicallyMappableToU64};
|
||||
|
||||
|
||||
@@ -2,8 +2,8 @@ use std::num::NonZeroU64;
|
||||
|
||||
use fastdivide::DividerU64;
|
||||
|
||||
use crate::RowId;
|
||||
use crate::column_values::ColumnStats;
|
||||
use crate::RowId;
|
||||
|
||||
/// Compute the gcd of two non null numbers.
|
||||
///
|
||||
@@ -96,8 +96,8 @@ impl StatsCollector {
|
||||
mod tests {
|
||||
use std::num::NonZeroU64;
|
||||
|
||||
use crate::column_values::u64_based::stats_collector::{compute_gcd, StatsCollector};
|
||||
use crate::column_values::u64_based::ColumnStats;
|
||||
use crate::column_values::u64_based::stats_collector::{StatsCollector, compute_gcd};
|
||||
|
||||
fn compute_stats(vals: impl Iterator<Item = u64>) -> ColumnStats {
|
||||
let mut stats_collector = StatsCollector::default();
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
use proptest::prelude::*;
|
||||
use proptest::{prop_oneof, proptest};
|
||||
use rand::Rng;
|
||||
|
||||
#[test]
|
||||
fn test_serialize_and_load_simple() {
|
||||
|
||||
@@ -4,8 +4,8 @@ use std::net::Ipv6Addr;
|
||||
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use crate::InvalidData;
|
||||
use crate::value::NumericalType;
|
||||
use crate::InvalidData;
|
||||
|
||||
/// The column type represents the column type.
|
||||
/// Any changes need to be propagated to `COLUMN_TYPES`.
|
||||
|
||||
@@ -3,7 +3,7 @@ use std::io::{self, Write};
|
||||
use common::{BitSet, CountingWriter, ReadOnlyBitSet};
|
||||
use sstable::{SSTable, Streamer, TermOrdinal, VoidSSTable};
|
||||
|
||||
use super::term_merger::{TermMerger, TermsWithSegmentOrd};
|
||||
use super::term_merger::TermMerger;
|
||||
use crate::column::serialize_column_mappable_to_u64;
|
||||
use crate::column_index::SerializableColumnIndex;
|
||||
use crate::iterable::Iterable;
|
||||
@@ -126,17 +126,14 @@ fn serialize_merged_dict(
|
||||
let mut term_ord_mapping = TermOrdinalMapping::default();
|
||||
|
||||
let mut field_term_streams = Vec::new();
|
||||
for (segment_ord, column_opt) in bytes_columns.iter().enumerate() {
|
||||
for column_opt in bytes_columns.iter() {
|
||||
if let Some(column) = column_opt {
|
||||
term_ord_mapping.add_segment(column.dictionary.num_terms());
|
||||
let terms: Streamer<VoidSSTable> = column.dictionary.stream()?;
|
||||
field_term_streams.push(TermsWithSegmentOrd { terms, segment_ord });
|
||||
field_term_streams.push(terms);
|
||||
} else {
|
||||
term_ord_mapping.add_segment(0);
|
||||
field_term_streams.push(TermsWithSegmentOrd {
|
||||
terms: Streamer::empty(),
|
||||
segment_ord,
|
||||
});
|
||||
field_term_streams.push(Streamer::empty());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -194,7 +191,6 @@ fn serialize_merged_dict(
|
||||
|
||||
#[derive(Default, Debug)]
|
||||
struct TermOrdinalMapping {
|
||||
/// Contains the new term ordinals for each segment.
|
||||
per_segment_new_term_ordinals: Vec<Vec<TermOrdinal>>,
|
||||
}
|
||||
|
||||
@@ -209,6 +205,6 @@ impl TermOrdinalMapping {
|
||||
}
|
||||
|
||||
fn get_segment(&self, segment_ord: u32) -> &[TermOrdinal] {
|
||||
&self.per_segment_new_term_ordinals[segment_ord as usize]
|
||||
&(self.per_segment_new_term_ordinals[segment_ord as usize])[..]
|
||||
}
|
||||
}
|
||||
|
||||
@@ -26,7 +26,7 @@ impl StackMergeOrder {
|
||||
let mut cumulated_row_ids: Vec<RowId> = Vec::with_capacity(columnars.len());
|
||||
let mut cumulated_row_id = 0;
|
||||
for columnar in columnars {
|
||||
cumulated_row_id += columnar.num_docs();
|
||||
cumulated_row_id += columnar.num_rows();
|
||||
cumulated_row_ids.push(cumulated_row_id);
|
||||
}
|
||||
StackMergeOrder { cumulated_row_ids }
|
||||
|
||||
@@ -10,11 +10,11 @@ use std::sync::Arc;
|
||||
pub use merge_mapping::{MergeRowOrder, ShuffleMergeOrder, StackMergeOrder};
|
||||
|
||||
use super::writer::ColumnarSerializer;
|
||||
use crate::column::{serialize_column_mappable_to_u64, serialize_column_mappable_to_u128};
|
||||
use crate::column::{serialize_column_mappable_to_u128, serialize_column_mappable_to_u64};
|
||||
use crate::column_values::MergedColumnValues;
|
||||
use crate::columnar::ColumnarReader;
|
||||
use crate::columnar::merge::merge_dict_column::merge_bytes_or_str_column;
|
||||
use crate::columnar::writer::CompatibleNumericalTypes;
|
||||
use crate::columnar::ColumnarReader;
|
||||
use crate::dynamic_column::DynamicColumn;
|
||||
use crate::{
|
||||
BytesColumn, Column, ColumnIndex, ColumnType, ColumnValues, DynamicColumnHandle, NumericalType,
|
||||
@@ -80,12 +80,13 @@ pub fn merge_columnar(
|
||||
output: &mut impl io::Write,
|
||||
) -> io::Result<()> {
|
||||
let mut serializer = ColumnarSerializer::new(output);
|
||||
let num_docs_per_columnar = columnar_readers
|
||||
let num_rows_per_columnar = columnar_readers
|
||||
.iter()
|
||||
.map(|reader| reader.num_docs())
|
||||
.map(|reader| reader.num_rows())
|
||||
.collect::<Vec<u32>>();
|
||||
|
||||
let columns_to_merge = group_columns_for_merge(columnar_readers, required_columns)?;
|
||||
let columns_to_merge =
|
||||
group_columns_for_merge(columnar_readers, required_columns, &merge_row_order)?;
|
||||
for res in columns_to_merge {
|
||||
let ((column_name, _column_type_category), grouped_columns) = res;
|
||||
let grouped_columns = grouped_columns.open(&merge_row_order)?;
|
||||
@@ -93,18 +94,15 @@ pub fn merge_columnar(
|
||||
continue;
|
||||
}
|
||||
|
||||
let column_type_after_merge = grouped_columns.column_type_after_merge();
|
||||
let column_type = grouped_columns.column_type_after_merge();
|
||||
let mut columns = grouped_columns.columns;
|
||||
// Make sure the number of columns is the same as the number of columnar readers.
|
||||
// Or num_docs_per_columnar would be incorrect.
|
||||
assert_eq!(columns.len(), columnar_readers.len());
|
||||
coerce_columns(column_type_after_merge, &mut columns)?;
|
||||
coerce_columns(column_type, &mut columns)?;
|
||||
|
||||
let mut column_serializer =
|
||||
serializer.start_serialize_column(column_name.as_bytes(), column_type_after_merge);
|
||||
serializer.start_serialize_column(column_name.as_bytes(), column_type);
|
||||
merge_column(
|
||||
column_type_after_merge,
|
||||
&num_docs_per_columnar,
|
||||
column_type,
|
||||
&num_rows_per_columnar,
|
||||
columns,
|
||||
&merge_row_order,
|
||||
&mut column_serializer,
|
||||
@@ -130,7 +128,7 @@ fn dynamic_column_to_u64_monotonic(dynamic_column: DynamicColumn) -> Option<Colu
|
||||
fn merge_column(
|
||||
column_type: ColumnType,
|
||||
num_docs_per_column: &[u32],
|
||||
columns_to_merge: Vec<Option<DynamicColumn>>,
|
||||
columns: Vec<Option<DynamicColumn>>,
|
||||
merge_row_order: &MergeRowOrder,
|
||||
wrt: &mut impl io::Write,
|
||||
) -> io::Result<()> {
|
||||
@@ -140,21 +138,20 @@ fn merge_column(
|
||||
| ColumnType::F64
|
||||
| ColumnType::DateTime
|
||||
| ColumnType::Bool => {
|
||||
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns_to_merge.len());
|
||||
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns.len());
|
||||
let mut column_values: Vec<Option<Arc<dyn ColumnValues>>> =
|
||||
Vec::with_capacity(columns_to_merge.len());
|
||||
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
|
||||
match dynamic_column_opt.and_then(dynamic_column_to_u64_monotonic) {
|
||||
Some(Column { index: idx, values }) => {
|
||||
column_indexes.push(idx);
|
||||
column_values.push(Some(values));
|
||||
}
|
||||
None => {
|
||||
column_indexes.push(ColumnIndex::Empty {
|
||||
num_docs: num_docs_per_column[i],
|
||||
});
|
||||
column_values.push(None);
|
||||
}
|
||||
Vec::with_capacity(columns.len());
|
||||
for (i, dynamic_column_opt) in columns.into_iter().enumerate() {
|
||||
if let Some(Column { index: idx, values }) =
|
||||
dynamic_column_opt.and_then(dynamic_column_to_u64_monotonic)
|
||||
{
|
||||
column_indexes.push(idx);
|
||||
column_values.push(Some(values));
|
||||
} else {
|
||||
column_indexes.push(ColumnIndex::Empty {
|
||||
num_docs: num_docs_per_column[i],
|
||||
});
|
||||
column_values.push(None);
|
||||
}
|
||||
}
|
||||
let merged_column_index =
|
||||
@@ -167,10 +164,10 @@ fn merge_column(
|
||||
serialize_column_mappable_to_u64(merged_column_index, &merge_column_values, wrt)?;
|
||||
}
|
||||
ColumnType::IpAddr => {
|
||||
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns_to_merge.len());
|
||||
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns.len());
|
||||
let mut column_values: Vec<Option<Arc<dyn ColumnValues<Ipv6Addr>>>> =
|
||||
Vec::with_capacity(columns_to_merge.len());
|
||||
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
|
||||
Vec::with_capacity(columns.len());
|
||||
for (i, dynamic_column_opt) in columns.into_iter().enumerate() {
|
||||
if let Some(DynamicColumn::IpAddr(Column { index: idx, values })) =
|
||||
dynamic_column_opt
|
||||
{
|
||||
@@ -195,10 +192,9 @@ fn merge_column(
|
||||
serialize_column_mappable_to_u128(merged_column_index, &merge_column_values, wrt)?;
|
||||
}
|
||||
ColumnType::Bytes | ColumnType::Str => {
|
||||
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns_to_merge.len());
|
||||
let mut bytes_columns: Vec<Option<BytesColumn>> =
|
||||
Vec::with_capacity(columns_to_merge.len());
|
||||
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
|
||||
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns.len());
|
||||
let mut bytes_columns: Vec<Option<BytesColumn>> = Vec::with_capacity(columns.len());
|
||||
for (i, dynamic_column_opt) in columns.into_iter().enumerate() {
|
||||
match dynamic_column_opt {
|
||||
Some(DynamicColumn::Str(str_column)) => {
|
||||
column_indexes.push(str_column.term_ord_column.index.clone());
|
||||
@@ -252,15 +248,13 @@ impl GroupedColumns {
|
||||
if column_type.len() == 1 {
|
||||
return column_type.into_iter().next().unwrap();
|
||||
}
|
||||
// At the moment, only the numerical column type category has more than one possible
|
||||
// At the moment, only the numerical categorical column type has more than one possible
|
||||
// column type.
|
||||
assert!(
|
||||
self.columns
|
||||
.iter()
|
||||
.flatten()
|
||||
.all(|el| ColumnTypeCategory::from(el.column_type())
|
||||
== ColumnTypeCategory::Numerical)
|
||||
);
|
||||
assert!(self
|
||||
.columns
|
||||
.iter()
|
||||
.flatten()
|
||||
.all(|el| ColumnTypeCategory::from(el.column_type()) == ColumnTypeCategory::Numerical));
|
||||
merged_numerical_columns_type(self.columns.iter().flatten()).into()
|
||||
}
|
||||
}
|
||||
@@ -367,7 +361,7 @@ fn is_empty_after_merge(
|
||||
ColumnIndex::Empty { .. } => true,
|
||||
ColumnIndex::Full => alive_bitset.len() == 0,
|
||||
ColumnIndex::Optional(optional_index) => {
|
||||
for doc in optional_index.iter_docs() {
|
||||
for doc in optional_index.iter_rows() {
|
||||
if alive_bitset.contains(doc) {
|
||||
return false;
|
||||
}
|
||||
@@ -397,6 +391,7 @@ fn is_empty_after_merge(
|
||||
fn group_columns_for_merge<'a>(
|
||||
columnar_readers: &'a [&'a ColumnarReader],
|
||||
required_columns: &'a [(String, ColumnType)],
|
||||
_merge_row_order: &'a MergeRowOrder,
|
||||
) -> io::Result<BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle>> {
|
||||
let mut columns: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> = BTreeMap::new();
|
||||
|
||||
|
||||
@@ -5,29 +5,28 @@ use sstable::TermOrdinal;
|
||||
|
||||
use crate::Streamer;
|
||||
|
||||
/// The terms of a column with the ordinal of the segment.
|
||||
pub struct TermsWithSegmentOrd<'a> {
|
||||
pub terms: Streamer<'a>,
|
||||
pub struct HeapItem<'a> {
|
||||
pub streamer: Streamer<'a>,
|
||||
pub segment_ord: usize,
|
||||
}
|
||||
|
||||
impl PartialEq for TermsWithSegmentOrd<'_> {
|
||||
impl PartialEq for HeapItem<'_> {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
self.segment_ord == other.segment_ord
|
||||
}
|
||||
}
|
||||
|
||||
impl Eq for TermsWithSegmentOrd<'_> {}
|
||||
impl Eq for HeapItem<'_> {}
|
||||
|
||||
impl<'a> PartialOrd for TermsWithSegmentOrd<'a> {
|
||||
fn partial_cmp(&self, other: &TermsWithSegmentOrd<'a>) -> Option<Ordering> {
|
||||
impl<'a> PartialOrd for HeapItem<'a> {
|
||||
fn partial_cmp(&self, other: &HeapItem<'a>) -> Option<Ordering> {
|
||||
Some(self.cmp(other))
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Ord for TermsWithSegmentOrd<'a> {
|
||||
fn cmp(&self, other: &TermsWithSegmentOrd<'a>) -> Ordering {
|
||||
(&other.terms.key(), &other.segment_ord).cmp(&(&self.terms.key(), &self.segment_ord))
|
||||
impl<'a> Ord for HeapItem<'a> {
|
||||
fn cmp(&self, other: &HeapItem<'a>) -> Ordering {
|
||||
(&other.streamer.key(), &other.segment_ord).cmp(&(&self.streamer.key(), &self.segment_ord))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -38,32 +37,39 @@ impl<'a> Ord for TermsWithSegmentOrd<'a> {
|
||||
/// - the term
|
||||
/// - a slice with the ordinal of the segments containing the terms.
|
||||
pub struct TermMerger<'a> {
|
||||
heap: BinaryHeap<TermsWithSegmentOrd<'a>>,
|
||||
term_streams_with_segment: Vec<TermsWithSegmentOrd<'a>>,
|
||||
heap: BinaryHeap<HeapItem<'a>>,
|
||||
current_streamers: Vec<HeapItem<'a>>,
|
||||
}
|
||||
|
||||
impl<'a> TermMerger<'a> {
|
||||
/// Stream of merged term dictionary
|
||||
pub fn new(term_streams_with_segment: Vec<TermsWithSegmentOrd<'a>>) -> TermMerger<'a> {
|
||||
pub fn new(streams: Vec<Streamer<'a>>) -> TermMerger<'a> {
|
||||
TermMerger {
|
||||
heap: BinaryHeap::new(),
|
||||
term_streams_with_segment,
|
||||
current_streamers: streams
|
||||
.into_iter()
|
||||
.enumerate()
|
||||
.map(|(ord, streamer)| HeapItem {
|
||||
streamer,
|
||||
segment_ord: ord,
|
||||
})
|
||||
.collect(),
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn matching_segments<'b: 'a>(
|
||||
&'b self,
|
||||
) -> impl 'b + Iterator<Item = (usize, TermOrdinal)> {
|
||||
self.term_streams_with_segment
|
||||
self.current_streamers
|
||||
.iter()
|
||||
.map(|heap_item| (heap_item.segment_ord, heap_item.terms.term_ord()))
|
||||
.map(|heap_item| (heap_item.segment_ord, heap_item.streamer.term_ord()))
|
||||
}
|
||||
|
||||
fn advance_segments(&mut self) {
|
||||
let streamers = &mut self.term_streams_with_segment;
|
||||
let streamers = &mut self.current_streamers;
|
||||
let heap = &mut self.heap;
|
||||
for mut heap_item in streamers.drain(..) {
|
||||
if heap_item.terms.advance() {
|
||||
if heap_item.streamer.advance() {
|
||||
heap.push(heap_item);
|
||||
}
|
||||
}
|
||||
@@ -74,19 +80,18 @@ impl<'a> TermMerger<'a> {
|
||||
/// False if there is none.
|
||||
pub fn advance(&mut self) -> bool {
|
||||
self.advance_segments();
|
||||
match self.heap.pop() {
|
||||
Some(head) => {
|
||||
self.term_streams_with_segment.push(head);
|
||||
while let Some(next_streamer) = self.heap.peek() {
|
||||
if self.term_streams_with_segment[0].terms.key() != next_streamer.terms.key() {
|
||||
break;
|
||||
}
|
||||
let next_heap_it = self.heap.pop().unwrap(); // safe : we peeked beforehand
|
||||
self.term_streams_with_segment.push(next_heap_it);
|
||||
if let Some(head) = self.heap.pop() {
|
||||
self.current_streamers.push(head);
|
||||
while let Some(next_streamer) = self.heap.peek() {
|
||||
if self.current_streamers[0].streamer.key() != next_streamer.streamer.key() {
|
||||
break;
|
||||
}
|
||||
true
|
||||
let next_heap_it = self.heap.pop().unwrap(); // safe : we peeked beforehand
|
||||
self.current_streamers.push(next_heap_it);
|
||||
}
|
||||
_ => false,
|
||||
true
|
||||
} else {
|
||||
false
|
||||
}
|
||||
}
|
||||
|
||||
@@ -96,6 +101,6 @@ impl<'a> TermMerger<'a> {
|
||||
/// if and only if advance() has been called before
|
||||
/// and "true" was returned.
|
||||
pub fn key(&self) -> &[u8] {
|
||||
self.term_streams_with_segment[0].terms.key()
|
||||
self.current_streamers[0].streamer.key()
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,10 +1,7 @@
|
||||
use itertools::Itertools;
|
||||
use proptest::collection::vec;
|
||||
use proptest::prelude::*;
|
||||
|
||||
use super::*;
|
||||
use crate::columnar::{ColumnarReader, MergeRowOrder, StackMergeOrder, merge_columnar};
|
||||
use crate::{Cardinality, ColumnarWriter, DynamicColumn, HasAssociatedColumnType, RowId};
|
||||
use crate::{Cardinality, ColumnarWriter, HasAssociatedColumnType, RowId};
|
||||
|
||||
fn make_columnar<T: Into<NumericalValue> + HasAssociatedColumnType + Copy>(
|
||||
column_name: &str,
|
||||
@@ -29,8 +26,9 @@ fn test_column_coercion_to_u64() {
|
||||
// u64 type
|
||||
let columnar2 = make_columnar("numbers", &[u64::MAX]);
|
||||
let columnars = &[&columnar1, &columnar2];
|
||||
let merge_order = StackMergeOrder::stack(columnars).into();
|
||||
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
|
||||
group_columns_for_merge(columnars, &[]).unwrap();
|
||||
group_columns_for_merge(columnars, &[], &merge_order).unwrap();
|
||||
assert_eq!(column_map.len(), 1);
|
||||
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
|
||||
}
|
||||
@@ -40,8 +38,9 @@ fn test_column_coercion_to_i64() {
|
||||
let columnar1 = make_columnar("numbers", &[-1i64]);
|
||||
let columnar2 = make_columnar("numbers", &[2u64]);
|
||||
let columnars = &[&columnar1, &columnar2];
|
||||
let merge_order = StackMergeOrder::stack(columnars).into();
|
||||
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
|
||||
group_columns_for_merge(columnars, &[]).unwrap();
|
||||
group_columns_for_merge(columnars, &[], &merge_order).unwrap();
|
||||
assert_eq!(column_map.len(), 1);
|
||||
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
|
||||
}
|
||||
@@ -64,8 +63,14 @@ fn test_group_columns_with_required_column() {
|
||||
let columnar1 = make_columnar("numbers", &[1i64]);
|
||||
let columnar2 = make_columnar("numbers", &[2u64]);
|
||||
let columnars = &[&columnar1, &columnar2];
|
||||
let merge_order = StackMergeOrder::stack(columnars).into();
|
||||
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
|
||||
group_columns_for_merge(columnars, &[("numbers".to_string(), ColumnType::U64)]).unwrap();
|
||||
group_columns_for_merge(
|
||||
&[&columnar1, &columnar2],
|
||||
&[("numbers".to_string(), ColumnType::U64)],
|
||||
&merge_order,
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(column_map.len(), 1);
|
||||
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
|
||||
}
|
||||
@@ -75,9 +80,13 @@ fn test_group_columns_required_column_with_no_existing_columns() {
|
||||
let columnar1 = make_columnar("numbers", &[2u64]);
|
||||
let columnar2 = make_columnar("numbers", &[2u64]);
|
||||
let columnars = &[&columnar1, &columnar2];
|
||||
let column_map: BTreeMap<_, _> =
|
||||
group_columns_for_merge(columnars, &[("required_col".to_string(), ColumnType::Str)])
|
||||
.unwrap();
|
||||
let merge_order = StackMergeOrder::stack(columnars).into();
|
||||
let column_map: BTreeMap<_, _> = group_columns_for_merge(
|
||||
columnars,
|
||||
&[("required_col".to_string(), ColumnType::Str)],
|
||||
&merge_order,
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(column_map.len(), 2);
|
||||
let columns = &column_map
|
||||
.get(&("required_col".to_string(), ColumnTypeCategory::Str))
|
||||
@@ -93,8 +102,14 @@ fn test_group_columns_required_column_is_above_all_columns_have_the_same_type_ru
|
||||
let columnar1 = make_columnar("numbers", &[2i64]);
|
||||
let columnar2 = make_columnar("numbers", &[2i64]);
|
||||
let columnars = &[&columnar1, &columnar2];
|
||||
let merge_order = StackMergeOrder::stack(columnars).into();
|
||||
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
|
||||
group_columns_for_merge(columnars, &[("numbers".to_string(), ColumnType::U64)]).unwrap();
|
||||
group_columns_for_merge(
|
||||
columnars,
|
||||
&[("numbers".to_string(), ColumnType::U64)],
|
||||
&merge_order,
|
||||
)
|
||||
.unwrap();
|
||||
assert_eq!(column_map.len(), 1);
|
||||
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
|
||||
}
|
||||
@@ -104,8 +119,9 @@ fn test_missing_column() {
|
||||
let columnar1 = make_columnar("numbers", &[-1i64]);
|
||||
let columnar2 = make_columnar("numbers2", &[2u64]);
|
||||
let columnars = &[&columnar1, &columnar2];
|
||||
let merge_order = StackMergeOrder::stack(columnars).into();
|
||||
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
|
||||
group_columns_for_merge(columnars, &[]).unwrap();
|
||||
group_columns_for_merge(columnars, &[], &merge_order).unwrap();
|
||||
assert_eq!(column_map.len(), 2);
|
||||
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
|
||||
{
|
||||
@@ -208,7 +224,7 @@ fn test_merge_columnar_numbers() {
|
||||
)
|
||||
.unwrap();
|
||||
let columnar_reader = ColumnarReader::open(buffer).unwrap();
|
||||
assert_eq!(columnar_reader.num_docs(), 3);
|
||||
assert_eq!(columnar_reader.num_rows(), 3);
|
||||
assert_eq!(columnar_reader.num_columns(), 1);
|
||||
let cols = columnar_reader.read_columns("numbers").unwrap();
|
||||
let dynamic_column = cols[0].open().unwrap();
|
||||
@@ -236,7 +252,7 @@ fn test_merge_columnar_texts() {
|
||||
)
|
||||
.unwrap();
|
||||
let columnar_reader = ColumnarReader::open(buffer).unwrap();
|
||||
assert_eq!(columnar_reader.num_docs(), 3);
|
||||
assert_eq!(columnar_reader.num_rows(), 3);
|
||||
assert_eq!(columnar_reader.num_columns(), 1);
|
||||
let cols = columnar_reader.read_columns("texts").unwrap();
|
||||
let dynamic_column = cols[0].open().unwrap();
|
||||
@@ -285,7 +301,7 @@ fn test_merge_columnar_byte() {
|
||||
)
|
||||
.unwrap();
|
||||
let columnar_reader = ColumnarReader::open(buffer).unwrap();
|
||||
assert_eq!(columnar_reader.num_docs(), 4);
|
||||
assert_eq!(columnar_reader.num_rows(), 4);
|
||||
assert_eq!(columnar_reader.num_columns(), 1);
|
||||
let cols = columnar_reader.read_columns("bytes").unwrap();
|
||||
let dynamic_column = cols[0].open().unwrap();
|
||||
@@ -341,7 +357,7 @@ fn test_merge_columnar_byte_with_missing() {
|
||||
)
|
||||
.unwrap();
|
||||
let columnar_reader = ColumnarReader::open(buffer).unwrap();
|
||||
assert_eq!(columnar_reader.num_docs(), 3 + 2 + 3);
|
||||
assert_eq!(columnar_reader.num_rows(), 3 + 2 + 3);
|
||||
assert_eq!(columnar_reader.num_columns(), 2);
|
||||
let cols = columnar_reader.read_columns("col").unwrap();
|
||||
let dynamic_column = cols[0].open().unwrap();
|
||||
@@ -393,7 +409,7 @@ fn test_merge_columnar_different_types() {
|
||||
)
|
||||
.unwrap();
|
||||
let columnar_reader = ColumnarReader::open(buffer).unwrap();
|
||||
assert_eq!(columnar_reader.num_docs(), 4);
|
||||
assert_eq!(columnar_reader.num_rows(), 4);
|
||||
assert_eq!(columnar_reader.num_columns(), 2);
|
||||
let cols = columnar_reader.read_columns("mixed").unwrap();
|
||||
|
||||
@@ -403,11 +419,11 @@ fn test_merge_columnar_different_types() {
|
||||
panic!()
|
||||
};
|
||||
assert_eq!(vals.get_cardinality(), Cardinality::Optional);
|
||||
assert_eq!(vals.values_for_doc(0).collect_vec(), Vec::<i64>::new());
|
||||
assert_eq!(vals.values_for_doc(1).collect_vec(), Vec::<i64>::new());
|
||||
assert_eq!(vals.values_for_doc(2).collect_vec(), Vec::<i64>::new());
|
||||
assert_eq!(vals.values_for_doc(0).collect_vec(), vec![]);
|
||||
assert_eq!(vals.values_for_doc(1).collect_vec(), vec![]);
|
||||
assert_eq!(vals.values_for_doc(2).collect_vec(), vec![]);
|
||||
assert_eq!(vals.values_for_doc(3).collect_vec(), vec![1]);
|
||||
assert_eq!(vals.values_for_doc(4).collect_vec(), Vec::<i64>::new());
|
||||
assert_eq!(vals.values_for_doc(4).collect_vec(), vec![]);
|
||||
|
||||
// text column
|
||||
let dynamic_column = cols[1].open().unwrap();
|
||||
@@ -458,7 +474,7 @@ fn test_merge_columnar_different_empty_cardinality() {
|
||||
)
|
||||
.unwrap();
|
||||
let columnar_reader = ColumnarReader::open(buffer).unwrap();
|
||||
assert_eq!(columnar_reader.num_docs(), 2);
|
||||
assert_eq!(columnar_reader.num_rows(), 2);
|
||||
assert_eq!(columnar_reader.num_columns(), 2);
|
||||
let cols = columnar_reader.read_columns("mixed").unwrap();
|
||||
|
||||
@@ -470,119 +486,3 @@ fn test_merge_columnar_different_empty_cardinality() {
|
||||
let dynamic_column = cols[1].open().unwrap();
|
||||
assert_eq!(dynamic_column.get_cardinality(), Cardinality::Optional);
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
struct ColumnSpec {
|
||||
column_name: String,
|
||||
/// (row_id, term)
|
||||
terms: Vec<(RowId, Vec<u8>)>,
|
||||
}
|
||||
|
||||
#[derive(Clone, Debug)]
|
||||
struct ColumnarSpec {
|
||||
columns: Vec<ColumnSpec>,
|
||||
}
|
||||
|
||||
/// Generate a random (row_id, term) pair:
|
||||
/// - row_id in [0..10]
|
||||
/// - term is either from POSSIBLE_TERMS or random bytes
|
||||
fn rowid_and_term_strategy() -> impl Strategy<Value = (RowId, Vec<u8>)> {
|
||||
const POSSIBLE_TERMS: &[&[u8]] = &[b"a", b"b", b"allo"];
|
||||
|
||||
let term_strat = prop_oneof![
|
||||
// pick from the fixed list
|
||||
(0..POSSIBLE_TERMS.len()).prop_map(|i| POSSIBLE_TERMS[i].to_vec()),
|
||||
// or random bytes (length 0..10)
|
||||
prop::collection::vec(any::<u8>(), 0..10),
|
||||
];
|
||||
|
||||
(0u32..11, term_strat)
|
||||
}
|
||||
|
||||
/// Generate one ColumnSpec, with a random name and a random list of (row_id, term).
|
||||
/// We sort it by row_id so that data is in ascending order.
|
||||
fn column_spec_strategy() -> impl Strategy<Value = ColumnSpec> {
|
||||
let column_name = prop_oneof![
|
||||
Just("col".to_string()),
|
||||
Just("col2".to_string()),
|
||||
"col.*".prop_map(|s| s),
|
||||
];
|
||||
|
||||
// We'll produce 0..8 (rowid,term) entries for this column
|
||||
let data_strat = vec(rowid_and_term_strategy(), 0..8).prop_map(|mut pairs| {
|
||||
// Sort by row_id
|
||||
pairs.sort_by_key(|(row_id, _)| *row_id);
|
||||
pairs
|
||||
});
|
||||
|
||||
(column_name, data_strat).prop_map(|(name, data)| ColumnSpec {
|
||||
column_name: name,
|
||||
terms: data,
|
||||
})
|
||||
}
|
||||
|
||||
/// Strategy to generate an ColumnarSpec
|
||||
fn columnar_strategy() -> impl Strategy<Value = ColumnarSpec> {
|
||||
vec(column_spec_strategy(), 0..3).prop_map(|columns| ColumnarSpec { columns })
|
||||
}
|
||||
|
||||
/// Strategy to generate multiple ColumnarSpecs, each of which we will treat
|
||||
/// as one "columnar" to be merged together.
|
||||
fn columnars_strategy() -> impl Strategy<Value = Vec<ColumnarSpec>> {
|
||||
vec(columnar_strategy(), 1..4)
|
||||
}
|
||||
|
||||
/// Build a `ColumnarReader` from a `ColumnarSpec`
|
||||
fn build_columnar(spec: &ColumnarSpec) -> ColumnarReader {
|
||||
let mut writer = ColumnarWriter::default();
|
||||
let mut max_row_id = 0;
|
||||
for col in &spec.columns {
|
||||
for &(row_id, ref term) in &col.terms {
|
||||
writer.record_bytes(row_id, &col.column_name, term);
|
||||
max_row_id = max_row_id.max(row_id);
|
||||
}
|
||||
}
|
||||
|
||||
let mut buffer = Vec::new();
|
||||
writer.serialize(max_row_id + 1, &mut buffer).unwrap();
|
||||
ColumnarReader::open(buffer).unwrap()
|
||||
}
|
||||
|
||||
proptest! {
|
||||
// We just test that the merge_columnar function doesn't crash.
|
||||
#![proptest_config(ProptestConfig::with_cases(256))]
|
||||
#[test]
|
||||
fn test_merge_columnar_bytes_no_crash(columnars in columnars_strategy(), second_merge_columnars in columnars_strategy()) {
|
||||
let columnars: Vec<ColumnarReader> = columnars.iter()
|
||||
.map(build_columnar)
|
||||
.collect();
|
||||
|
||||
let mut out = Vec::new();
|
||||
let columnar_refs: Vec<&ColumnarReader> = columnars.iter().collect();
|
||||
let stack_merge_order = StackMergeOrder::stack(&columnar_refs);
|
||||
merge_columnar(
|
||||
&columnar_refs,
|
||||
&[],
|
||||
MergeRowOrder::Stack(stack_merge_order),
|
||||
&mut out,
|
||||
).unwrap();
|
||||
|
||||
let merged_reader = ColumnarReader::open(out).unwrap();
|
||||
|
||||
// Merge the second set of columnars with the result of the first merge
|
||||
let mut columnars: Vec<ColumnarReader> = second_merge_columnars.iter()
|
||||
.map(build_columnar)
|
||||
.collect();
|
||||
columnars.push(merged_reader);
|
||||
let mut out = Vec::new();
|
||||
let columnar_refs: Vec<&ColumnarReader> = columnars.iter().collect();
|
||||
let stack_merge_order = StackMergeOrder::stack(&columnar_refs);
|
||||
merge_columnar(
|
||||
&columnar_refs,
|
||||
&[],
|
||||
MergeRowOrder::Stack(stack_merge_order),
|
||||
&mut out,
|
||||
).unwrap();
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
#![allow(clippy::manual_div_ceil)]
|
||||
|
||||
mod column_type;
|
||||
mod format_version;
|
||||
mod merge;
|
||||
@@ -7,9 +5,9 @@ mod reader;
|
||||
mod writer;
|
||||
|
||||
pub use column_type::{ColumnType, HasAssociatedColumnType};
|
||||
pub use format_version::{CURRENT_VERSION, Version};
|
||||
pub use format_version::{Version, CURRENT_VERSION};
|
||||
#[cfg(test)]
|
||||
pub(crate) use merge::ColumnTypeCategory;
|
||||
pub use merge::{MergeRowOrder, ShuffleMergeOrder, StackMergeOrder, merge_columnar};
|
||||
pub use merge::{merge_columnar, MergeRowOrder, ShuffleMergeOrder, StackMergeOrder};
|
||||
pub use reader::ColumnarReader;
|
||||
pub use writer::ColumnarWriter;
|
||||
|
||||
@@ -1,11 +1,10 @@
|
||||
use std::{fmt, io, mem};
|
||||
|
||||
use common::BinarySerializable;
|
||||
use common::file_slice::FileSlice;
|
||||
use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
|
||||
use common::BinarySerializable;
|
||||
use sstable::{Dictionary, RangeSSTable};
|
||||
|
||||
use crate::columnar::{ColumnType, format_version};
|
||||
use crate::columnar::{format_version, ColumnType};
|
||||
use crate::dynamic_column::DynamicColumnHandle;
|
||||
use crate::{RowId, Version};
|
||||
|
||||
@@ -19,13 +18,13 @@ fn io_invalid_data(msg: String) -> io::Error {
|
||||
pub struct ColumnarReader {
|
||||
column_dictionary: Dictionary<RangeSSTable>,
|
||||
column_data: FileSlice,
|
||||
num_docs: RowId,
|
||||
num_rows: RowId,
|
||||
format_version: Version,
|
||||
}
|
||||
|
||||
impl fmt::Debug for ColumnarReader {
|
||||
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
|
||||
let num_rows = self.num_docs();
|
||||
let num_rows = self.num_rows();
|
||||
let columns = self.list_columns().unwrap();
|
||||
let num_cols = columns.len();
|
||||
let mut debug_struct = f.debug_struct("Columnar");
|
||||
@@ -77,19 +76,6 @@ fn read_all_columns_in_stream(
|
||||
Ok(results)
|
||||
}
|
||||
|
||||
fn column_dictionary_prefix_for_column_name(column_name: &str) -> String {
|
||||
// Each column is a associated to a given `column_key`,
|
||||
// that starts by `column_name\0column_header`.
|
||||
//
|
||||
// Listing the columns associated to the given column name is therefore equivalent to
|
||||
// listing `column_key` with the prefix `column_name\0`.
|
||||
format!("{}{}", column_name, '\0')
|
||||
}
|
||||
|
||||
fn column_dictionary_prefix_for_subpath(root_path: &str) -> String {
|
||||
format!("{}{}", root_path, JSON_PATH_SEGMENT_SEP as char)
|
||||
}
|
||||
|
||||
impl ColumnarReader {
|
||||
/// Opens a new Columnar file.
|
||||
pub fn open<F>(file_slice: F) -> io::Result<ColumnarReader>
|
||||
@@ -112,13 +98,13 @@ impl ColumnarReader {
|
||||
Ok(ColumnarReader {
|
||||
column_dictionary,
|
||||
column_data,
|
||||
num_docs: num_rows,
|
||||
num_rows,
|
||||
format_version,
|
||||
})
|
||||
}
|
||||
|
||||
pub fn num_docs(&self) -> RowId {
|
||||
self.num_docs
|
||||
pub fn num_rows(&self) -> RowId {
|
||||
self.num_rows
|
||||
}
|
||||
// Iterate over the columns in a sorted way
|
||||
pub fn iter_columns(
|
||||
@@ -158,14 +144,32 @@ impl ColumnarReader {
|
||||
Ok(self.iter_columns()?.collect())
|
||||
}
|
||||
|
||||
fn stream_for_column_range(&self, column_name: &str) -> sstable::StreamerBuilder<RangeSSTable> {
|
||||
// Each column is a associated to a given `column_key`,
|
||||
// that starts by `column_name\0column_header`.
|
||||
//
|
||||
// Listing the columns associated to the given column name is therefore equivalent to
|
||||
// listing `column_key` with the prefix `column_name\0`.
|
||||
//
|
||||
// This is in turn equivalent to searching for the range
|
||||
// `[column_name,\0`..column_name\1)`.
|
||||
// TODO can we get some more generic `prefix(..)` logic in the dictionary.
|
||||
let mut start_key = column_name.to_string();
|
||||
start_key.push('\0');
|
||||
let mut end_key = column_name.to_string();
|
||||
end_key.push(1u8 as char);
|
||||
self.column_dictionary
|
||||
.range()
|
||||
.ge(start_key.as_bytes())
|
||||
.lt(end_key.as_bytes())
|
||||
}
|
||||
|
||||
pub async fn read_columns_async(
|
||||
&self,
|
||||
column_name: &str,
|
||||
) -> io::Result<Vec<DynamicColumnHandle>> {
|
||||
let prefix = column_dictionary_prefix_for_column_name(column_name);
|
||||
let stream = self
|
||||
.column_dictionary
|
||||
.prefix_range(prefix)
|
||||
.stream_for_column_range(column_name)
|
||||
.into_stream_async()
|
||||
.await?;
|
||||
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
|
||||
@@ -176,35 +180,7 @@ impl ColumnarReader {
|
||||
/// There can be more than one column associated to a given column name, provided they have
|
||||
/// different types.
|
||||
pub fn read_columns(&self, column_name: &str) -> io::Result<Vec<DynamicColumnHandle>> {
|
||||
let prefix = column_dictionary_prefix_for_column_name(column_name);
|
||||
let stream = self.column_dictionary.prefix_range(prefix).into_stream()?;
|
||||
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
|
||||
}
|
||||
|
||||
pub async fn read_subpath_columns_async(
|
||||
&self,
|
||||
root_path: &str,
|
||||
) -> io::Result<Vec<DynamicColumnHandle>> {
|
||||
let prefix = column_dictionary_prefix_for_subpath(root_path);
|
||||
let stream = self
|
||||
.column_dictionary
|
||||
.prefix_range(prefix)
|
||||
.into_stream_async()
|
||||
.await?;
|
||||
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
|
||||
}
|
||||
|
||||
/// Get all inner columns for a given JSON prefix, i.e columns for which the name starts
|
||||
/// with the prefix then contain the [`JSON_PATH_SEGMENT_SEP`].
|
||||
///
|
||||
/// There can be more than one column associated to each path within the JSON structure,
|
||||
/// provided they have different types.
|
||||
pub fn read_subpath_columns(&self, root_path: &str) -> io::Result<Vec<DynamicColumnHandle>> {
|
||||
let prefix = column_dictionary_prefix_for_subpath(root_path);
|
||||
let stream = self
|
||||
.column_dictionary
|
||||
.prefix_range(prefix.as_bytes())
|
||||
.into_stream()?;
|
||||
let stream = self.stream_for_column_range(column_name).into_stream()?;
|
||||
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
|
||||
}
|
||||
|
||||
@@ -216,8 +192,6 @@ impl ColumnarReader {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
|
||||
|
||||
use crate::{ColumnType, ColumnarReader, ColumnarWriter};
|
||||
|
||||
#[test]
|
||||
@@ -250,64 +224,6 @@ mod tests {
|
||||
assert_eq!(columns[0].1.column_type(), ColumnType::U64);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_read_columns() {
|
||||
let mut columnar_writer = ColumnarWriter::default();
|
||||
columnar_writer.record_column_type("col", ColumnType::U64, false);
|
||||
columnar_writer.record_numerical(1, "col", 1u64);
|
||||
let mut buffer = Vec::new();
|
||||
columnar_writer.serialize(2, &mut buffer).unwrap();
|
||||
let columnar = ColumnarReader::open(buffer).unwrap();
|
||||
{
|
||||
let columns = columnar.read_columns("col").unwrap();
|
||||
assert_eq!(columns.len(), 1);
|
||||
assert_eq!(columns[0].column_type(), ColumnType::U64);
|
||||
}
|
||||
{
|
||||
let columns = columnar.read_columns("other").unwrap();
|
||||
assert_eq!(columns.len(), 0);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_read_subpath_columns() {
|
||||
let mut columnar_writer = ColumnarWriter::default();
|
||||
columnar_writer.record_str(
|
||||
0,
|
||||
&format!("col1{}subcol1", JSON_PATH_SEGMENT_SEP as char),
|
||||
"hello",
|
||||
);
|
||||
columnar_writer.record_numerical(
|
||||
0,
|
||||
&format!("col1{}subcol2", JSON_PATH_SEGMENT_SEP as char),
|
||||
1i64,
|
||||
);
|
||||
columnar_writer.record_str(1, "col1", "hello");
|
||||
columnar_writer.record_str(0, "col2", "hello");
|
||||
let mut buffer = Vec::new();
|
||||
columnar_writer.serialize(2, &mut buffer).unwrap();
|
||||
|
||||
let columnar = ColumnarReader::open(buffer).unwrap();
|
||||
{
|
||||
let columns = columnar.read_subpath_columns("col1").unwrap();
|
||||
assert_eq!(columns.len(), 2);
|
||||
assert_eq!(columns[0].column_type(), ColumnType::Str);
|
||||
assert_eq!(columns[1].column_type(), ColumnType::I64);
|
||||
}
|
||||
{
|
||||
let columns = columnar.read_subpath_columns("col1.subcol1").unwrap();
|
||||
assert_eq!(columns.len(), 0);
|
||||
}
|
||||
{
|
||||
let columns = columnar.read_subpath_columns("col2").unwrap();
|
||||
assert_eq!(columns.len(), 0);
|
||||
}
|
||||
{
|
||||
let columns = columnar.read_subpath_columns("other").unwrap();
|
||||
assert_eq!(columns.len(), 0);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic(expected = "Input type forbidden")]
|
||||
fn test_list_columns_strict_typing_panics_on_wrong_types() {
|
||||
|
||||
@@ -42,7 +42,7 @@ impl ColumnWriter {
|
||||
&self,
|
||||
arena: &MemoryArena,
|
||||
buffer: &'a mut Vec<u8>,
|
||||
) -> impl Iterator<Item = ColumnOperation<V>> + 'a + use<'a, V> {
|
||||
) -> impl Iterator<Item = ColumnOperation<V>> + 'a {
|
||||
buffer.clear();
|
||||
self.values.read_to_end(arena, buffer);
|
||||
let mut cursor: &[u8] = &buffer[..];
|
||||
@@ -104,10 +104,9 @@ pub(crate) struct NumericalColumnWriter {
|
||||
|
||||
impl NumericalColumnWriter {
|
||||
pub fn force_numerical_type(&mut self, numerical_type: NumericalType) {
|
||||
assert!(
|
||||
self.compatible_numerical_types
|
||||
.is_type_accepted(numerical_type)
|
||||
);
|
||||
assert!(self
|
||||
.compatible_numerical_types
|
||||
.is_type_accepted(numerical_type));
|
||||
self.compatible_numerical_types = CompatibleNumericalTypes::StaticType(numerical_type);
|
||||
}
|
||||
}
|
||||
@@ -212,7 +211,7 @@ impl NumericalColumnWriter {
|
||||
self,
|
||||
arena: &MemoryArena,
|
||||
buffer: &'a mut Vec<u8>,
|
||||
) -> impl Iterator<Item = ColumnOperation<NumericalValue>> + 'a + use<'a> {
|
||||
) -> impl Iterator<Item = ColumnOperation<NumericalValue>> + 'a {
|
||||
self.column_writer.operation_iterator(arena, buffer)
|
||||
}
|
||||
}
|
||||
@@ -256,7 +255,7 @@ impl StrOrBytesColumnWriter {
|
||||
&self,
|
||||
arena: &MemoryArena,
|
||||
byte_buffer: &'a mut Vec<u8>,
|
||||
) -> impl Iterator<Item = ColumnOperation<UnorderedId>> + 'a + use<'a> {
|
||||
) -> impl Iterator<Item = ColumnOperation<UnorderedId>> + 'a {
|
||||
self.column_writer.operation_iterator(arena, byte_buffer)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -8,13 +8,13 @@ use std::net::Ipv6Addr;
|
||||
|
||||
use column_operation::ColumnOperation;
|
||||
pub(crate) use column_writers::CompatibleNumericalTypes;
|
||||
use common::CountingWriter;
|
||||
use common::json_path_writer::JSON_END_OF_PATH;
|
||||
use common::CountingWriter;
|
||||
pub(crate) use serializer::ColumnarSerializer;
|
||||
use stacker::{Addr, ArenaHashMap, MemoryArena};
|
||||
|
||||
use crate::column_index::{SerializableColumnIndex, SerializableOptionalIndex};
|
||||
use crate::column_values::{MonotonicallyMappableToU64, MonotonicallyMappableToU128};
|
||||
use crate::column_values::{MonotonicallyMappableToU128, MonotonicallyMappableToU64};
|
||||
use crate::columnar::column_type::ColumnType;
|
||||
use crate::columnar::writer::column_writers::{
|
||||
ColumnWriter, NumericalColumnWriter, StrOrBytesColumnWriter,
|
||||
@@ -285,6 +285,7 @@ impl ColumnarWriter {
|
||||
.map(|(column_name, addr)| (column_name, ColumnType::DateTime, addr)),
|
||||
);
|
||||
columns.sort_unstable_by_key(|(column_name, col_type, _)| (*column_name, *col_type));
|
||||
|
||||
let (arena, buffers, dictionaries) = (&self.arena, &mut self.buffers, &self.dictionaries);
|
||||
let mut symbol_byte_buffer: Vec<u8> = Vec::new();
|
||||
for (column_name, column_type, addr) in columns {
|
||||
|
||||
@@ -3,11 +3,11 @@ use std::io::Write;
|
||||
|
||||
use common::json_path_writer::JSON_END_OF_PATH;
|
||||
use common::{BinarySerializable, CountingWriter};
|
||||
use sstable::RangeSSTable;
|
||||
use sstable::value::RangeValueWriter;
|
||||
use sstable::RangeSSTable;
|
||||
|
||||
use crate::RowId;
|
||||
use crate::columnar::ColumnType;
|
||||
use crate::RowId;
|
||||
|
||||
pub struct ColumnarSerializer<W: io::Write> {
|
||||
wrt: CountingWriter<W>,
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use crate::RowId;
|
||||
use crate::column_index::{SerializableMultivalueIndex, SerializableOptionalIndex};
|
||||
use crate::iterable::Iterable;
|
||||
use crate::RowId;
|
||||
|
||||
/// The `IndexBuilder` interprets a sequence of
|
||||
/// calls of the form:
|
||||
@@ -31,13 +31,12 @@ pub struct OptionalIndexBuilder {
|
||||
|
||||
impl OptionalIndexBuilder {
|
||||
pub fn finish(&mut self, num_rows: RowId) -> impl Iterable<RowId> + '_ {
|
||||
debug_assert!(
|
||||
self.docs
|
||||
.last()
|
||||
.copied()
|
||||
.map(|last_doc| last_doc < num_rows)
|
||||
.unwrap_or(true)
|
||||
);
|
||||
debug_assert!(self
|
||||
.docs
|
||||
.last()
|
||||
.copied()
|
||||
.map(|last_doc| last_doc < num_rows)
|
||||
.unwrap_or(true));
|
||||
&self.docs[..]
|
||||
}
|
||||
|
||||
@@ -49,13 +48,12 @@ impl OptionalIndexBuilder {
|
||||
impl IndexBuilder for OptionalIndexBuilder {
|
||||
#[inline(always)]
|
||||
fn record_row(&mut self, doc: RowId) {
|
||||
debug_assert!(
|
||||
self.docs
|
||||
.last()
|
||||
.copied()
|
||||
.map(|prev_doc| doc > prev_doc)
|
||||
.unwrap_or(true)
|
||||
);
|
||||
debug_assert!(self
|
||||
.docs
|
||||
.last()
|
||||
.copied()
|
||||
.map(|prev_doc| doc > prev_doc)
|
||||
.unwrap_or(true));
|
||||
self.docs.push(doc);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -3,8 +3,8 @@ use std::path::PathBuf;
|
||||
use itertools::Itertools;
|
||||
|
||||
use crate::{
|
||||
CURRENT_VERSION, Cardinality, Column, ColumnarReader, DynamicColumn, StackMergeOrder,
|
||||
merge_columnar,
|
||||
merge_columnar, Cardinality, Column, ColumnarReader, DynamicColumn, StackMergeOrder,
|
||||
CURRENT_VERSION,
|
||||
};
|
||||
|
||||
const NUM_DOCS: u32 = u16::MAX as u32;
|
||||
|
||||
@@ -6,7 +6,7 @@ use common::file_slice::FileSlice;
|
||||
use common::{ByteCount, DateTime, HasLen, OwnedBytes};
|
||||
|
||||
use crate::column::{BytesColumn, Column, StrColumn};
|
||||
use crate::column_values::{StrictlyMonotonicFn, monotonic_map_column};
|
||||
use crate::column_values::{monotonic_map_column, StrictlyMonotonicFn};
|
||||
use crate::columnar::ColumnType;
|
||||
use crate::{Cardinality, ColumnIndex, ColumnValues, NumericalType, Version};
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
//! column.
|
||||
//! - [column_values]: Stores the values of a column in a dense format.
|
||||
|
||||
// #![cfg_attr(all(feature = "unstable", test), feature(test))]
|
||||
#![cfg_attr(all(feature = "unstable", test), feature(test))]
|
||||
|
||||
#[cfg(test)]
|
||||
#[macro_use]
|
||||
@@ -44,11 +44,11 @@ pub use block_accessor::ColumnBlockAccessor;
|
||||
pub use column::{BytesColumn, Column, StrColumn};
|
||||
pub use column_index::ColumnIndex;
|
||||
pub use column_values::{
|
||||
ColumnValues, EmptyColumnValues, MonotonicallyMappableToU64, MonotonicallyMappableToU128,
|
||||
ColumnValues, EmptyColumnValues, MonotonicallyMappableToU128, MonotonicallyMappableToU64,
|
||||
};
|
||||
pub use columnar::{
|
||||
CURRENT_VERSION, ColumnType, ColumnarReader, ColumnarWriter, HasAssociatedColumnType,
|
||||
MergeRowOrder, ShuffleMergeOrder, StackMergeOrder, Version, merge_columnar,
|
||||
merge_columnar, ColumnType, ColumnarReader, ColumnarWriter, HasAssociatedColumnType,
|
||||
MergeRowOrder, ShuffleMergeOrder, StackMergeOrder, Version, CURRENT_VERSION,
|
||||
};
|
||||
use sstable::VoidSSTable;
|
||||
pub use value::{NumericalType, NumericalValue};
|
||||
|
||||
@@ -380,7 +380,7 @@ fn assert_columnar_eq(
|
||||
right: &ColumnarReader,
|
||||
lenient_on_numerical_value: bool,
|
||||
) {
|
||||
assert_eq!(left.num_docs(), right.num_docs());
|
||||
assert_eq!(left.num_rows(), right.num_rows());
|
||||
let left_columns = left.list_columns().unwrap();
|
||||
let right_columns = right.list_columns().unwrap();
|
||||
assert_eq!(left_columns.len(), right_columns.len());
|
||||
@@ -588,7 +588,7 @@ proptest! {
|
||||
#[test]
|
||||
fn test_single_columnar_builder_proptest(docs in columnar_docs_strategy()) {
|
||||
let columnar = build_columnar(&docs[..]);
|
||||
assert_eq!(columnar.num_docs() as usize, docs.len());
|
||||
assert_eq!(columnar.num_rows() as usize, docs.len());
|
||||
let mut expected_columns: HashMap<(&str, ColumnTypeCategory), HashMap<u32, Vec<&ColumnValue>> > = Default::default();
|
||||
for (doc_id, doc_vals) in docs.iter().enumerate() {
|
||||
for (col_name, col_val) in doc_vals {
|
||||
@@ -715,9 +715,8 @@ fn test_columnar_merging_number_columns() {
|
||||
// TODO test required_columns
|
||||
// TODO document edge case: required_columns incompatible with values.
|
||||
|
||||
#[allow(clippy::type_complexity)]
|
||||
fn columnar_docs_and_remap()
|
||||
-> impl Strategy<Value = (Vec<Vec<Vec<(&'static str, ColumnValue)>>>, Vec<RowAddr>)> {
|
||||
fn columnar_docs_and_remap(
|
||||
) -> impl Strategy<Value = (Vec<Vec<Vec<(&'static str, ColumnValue)>>>, Vec<RowAddr>)> {
|
||||
proptest::collection::vec(columnar_docs_strategy(), 2..=3).prop_flat_map(
|
||||
|columnars_docs: Vec<Vec<Vec<(&str, ColumnValue)>>>| {
|
||||
let row_addrs: Vec<RowAddr> = columnars_docs
|
||||
@@ -820,7 +819,7 @@ fn test_columnar_merge_empty() {
|
||||
)
|
||||
.unwrap();
|
||||
let merged_columnar = ColumnarReader::open(output).unwrap();
|
||||
assert_eq!(merged_columnar.num_docs(), 0);
|
||||
assert_eq!(merged_columnar.num_rows(), 0);
|
||||
assert_eq!(merged_columnar.num_columns(), 0);
|
||||
}
|
||||
|
||||
@@ -846,7 +845,7 @@ fn test_columnar_merge_single_str_column() {
|
||||
)
|
||||
.unwrap();
|
||||
let merged_columnar = ColumnarReader::open(output).unwrap();
|
||||
assert_eq!(merged_columnar.num_docs(), 1);
|
||||
assert_eq!(merged_columnar.num_rows(), 1);
|
||||
assert_eq!(merged_columnar.num_columns(), 1);
|
||||
}
|
||||
|
||||
@@ -878,7 +877,7 @@ fn test_delete_decrease_cardinality() {
|
||||
)
|
||||
.unwrap();
|
||||
let merged_columnar = ColumnarReader::open(output).unwrap();
|
||||
assert_eq!(merged_columnar.num_docs(), 1);
|
||||
assert_eq!(merged_columnar.num_rows(), 1);
|
||||
assert_eq!(merged_columnar.num_columns(), 1);
|
||||
let cols = merged_columnar.read_columns("c").unwrap();
|
||||
assert_eq!(cols.len(), 1);
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
[package]
|
||||
name = "tantivy-common"
|
||||
version = "0.9.0"
|
||||
version = "0.7.0"
|
||||
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
|
||||
license = "MIT"
|
||||
edition = "2024"
|
||||
edition = "2021"
|
||||
description = "common traits and utility functions used by multiple tantivy subcrates"
|
||||
documentation = "https://docs.rs/tantivy_common/"
|
||||
homepage = "https://github.com/quickwit-oss/tantivy"
|
||||
@@ -13,7 +13,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
|
||||
|
||||
[dependencies]
|
||||
byteorder = "1.4.3"
|
||||
ownedbytes = { version= "0.9", path="../ownedbytes" }
|
||||
ownedbytes = { version= "0.7", path="../ownedbytes" }
|
||||
async-trait = "0.1"
|
||||
time = { version = "0.3.10", features = ["serde-well-known"] }
|
||||
serde = { version = "1.0.136", features = ["derive"] }
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use binggan::{BenchRunner, black_box};
|
||||
use binggan::{black_box, BenchRunner};
|
||||
use rand::seq::IteratorRandom;
|
||||
use rand::thread_rng;
|
||||
use tantivy_common::{BitSet, TinySet, serialize_vint_u32};
|
||||
use tantivy_common::{serialize_vint_u32, BitSet, TinySet};
|
||||
|
||||
fn bench_vint() {
|
||||
let mut runner = BenchRunner::new();
|
||||
|
||||
@@ -9,7 +9,7 @@ use crate::ByteCount;
|
||||
pub struct TinySet(u64);
|
||||
|
||||
impl fmt::Debug for TinySet {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
|
||||
self.into_iter().collect::<Vec<u32>>().fmt(f)
|
||||
}
|
||||
}
|
||||
@@ -182,7 +182,6 @@ pub struct BitSet {
|
||||
max_value: u32,
|
||||
}
|
||||
|
||||
#[inline(always)]
|
||||
fn num_buckets(max_val: u32) -> u32 {
|
||||
(max_val + 63u32) / 64u32
|
||||
}
|
||||
|
||||
@@ -65,11 +65,11 @@ pub fn transform_bound_inner_res<TFrom, TTo>(
|
||||
) -> io::Result<Bound<TTo>> {
|
||||
use self::Bound::*;
|
||||
Ok(match bound {
|
||||
Excluded(from_val) => match transform(from_val)? {
|
||||
Excluded(ref from_val) => match transform(from_val)? {
|
||||
TransformBound::NewBound(new_val) => new_val,
|
||||
TransformBound::Existing(new_val) => Excluded(new_val),
|
||||
},
|
||||
Included(from_val) => match transform(from_val)? {
|
||||
Included(ref from_val) => match transform(from_val)? {
|
||||
TransformBound::NewBound(new_val) => new_val,
|
||||
TransformBound::Existing(new_val) => Included(new_val),
|
||||
},
|
||||
@@ -85,11 +85,11 @@ pub fn transform_bound_inner<TFrom, TTo>(
|
||||
) -> Bound<TTo> {
|
||||
use self::Bound::*;
|
||||
match bound {
|
||||
Excluded(from_val) => match transform(from_val) {
|
||||
Excluded(ref from_val) => match transform(from_val) {
|
||||
TransformBound::NewBound(new_val) => new_val,
|
||||
TransformBound::Existing(new_val) => Excluded(new_val),
|
||||
},
|
||||
Included(from_val) => match transform(from_val) {
|
||||
Included(ref from_val) => match transform(from_val) {
|
||||
TransformBound::NewBound(new_val) => new_val,
|
||||
TransformBound::Existing(new_val) => Included(new_val),
|
||||
},
|
||||
@@ -111,8 +111,8 @@ pub fn map_bound<TFrom, TTo>(
|
||||
) -> Bound<TTo> {
|
||||
use self::Bound::*;
|
||||
match bound {
|
||||
Excluded(from_val) => Bound::Excluded(transform(from_val)),
|
||||
Included(from_val) => Bound::Included(transform(from_val)),
|
||||
Excluded(ref from_val) => Bound::Excluded(transform(from_val)),
|
||||
Included(ref from_val) => Bound::Included(transform(from_val)),
|
||||
Unbounded => Unbounded,
|
||||
}
|
||||
}
|
||||
@@ -123,8 +123,8 @@ pub fn map_bound_res<TFrom, TTo, Err>(
|
||||
) -> Result<Bound<TTo>, Err> {
|
||||
use self::Bound::*;
|
||||
Ok(match bound {
|
||||
Excluded(from_val) => Excluded(transform(from_val)?),
|
||||
Included(from_val) => Included(transform(from_val)?),
|
||||
Excluded(ref from_val) => Excluded(transform(from_val)?),
|
||||
Included(ref from_val) => Included(transform(from_val)?),
|
||||
Unbounded => Unbounded,
|
||||
})
|
||||
}
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
use std::fs::File;
|
||||
use std::ops::{Deref, Range, RangeBounds};
|
||||
use std::path::Path;
|
||||
use std::sync::Arc;
|
||||
use std::{fmt, io};
|
||||
|
||||
@@ -74,7 +73,7 @@ impl FileHandle for WrapFile {
|
||||
{
|
||||
use std::io::{Read, Seek};
|
||||
let mut file = self.file.try_clone()?; // Clone the file to read from it separately
|
||||
// Seek to the start position in the file
|
||||
// Seek to the start position in the file
|
||||
file.seek(io::SeekFrom::Start(start as u64))?;
|
||||
// Read the data into the buffer
|
||||
file.read_exact(&mut buffer)?;
|
||||
@@ -178,12 +177,6 @@ fn combine_ranges<R: RangeBounds<usize>>(orig_range: Range<usize>, rel_range: R)
|
||||
}
|
||||
|
||||
impl FileSlice {
|
||||
/// Creates a FileSlice from a path.
|
||||
pub fn open(path: &Path) -> io::Result<FileSlice> {
|
||||
let wrap_file = WrapFile::new(File::open(path)?)?;
|
||||
Ok(FileSlice::new(Arc::new(wrap_file)))
|
||||
}
|
||||
|
||||
/// Wraps a FileHandle.
|
||||
pub fn new(file_handle: Arc<dyn FileHandle>) -> Self {
|
||||
let num_bytes = file_handle.len();
|
||||
@@ -346,8 +339,8 @@ mod tests {
|
||||
use std::sync::Arc;
|
||||
|
||||
use super::{FileHandle, FileSlice};
|
||||
use crate::HasLen;
|
||||
use crate::file_slice::combine_ranges;
|
||||
use crate::HasLen;
|
||||
|
||||
#[test]
|
||||
fn test_file_slice() -> io::Result<()> {
|
||||
|
||||
@@ -1,6 +1,4 @@
|
||||
// manual divceil actually generates code that is not optimal (to accept the full range of u32) and
|
||||
// perf matters here.
|
||||
#![allow(clippy::len_without_is_empty, clippy::manual_div_ceil)]
|
||||
#![allow(clippy::len_without_is_empty)]
|
||||
|
||||
use std::ops::Deref;
|
||||
|
||||
@@ -24,7 +22,7 @@ pub use json_path_writer::JsonPathWriter;
|
||||
pub use ownedbytes::{OwnedBytes, StableDeref};
|
||||
pub use serialize::{BinarySerializable, DeserializeFrom, FixedSize};
|
||||
pub use vint::{
|
||||
VInt, VIntU128, read_u32_vint, read_u32_vint_no_advance, serialize_vint_u32, write_u32_vint,
|
||||
read_u32_vint, read_u32_vint_no_advance, serialize_vint_u32, write_u32_vint, VInt, VIntU128,
|
||||
};
|
||||
pub use writer::{AntiCallToken, CountingWriter, TerminatingWrite};
|
||||
|
||||
@@ -179,10 +177,8 @@ pub(crate) mod test {
|
||||
|
||||
#[test]
|
||||
fn test_f64_order() {
|
||||
assert!(
|
||||
!(f64_to_u64(f64::NEG_INFINITY)..f64_to_u64(f64::INFINITY))
|
||||
.contains(&f64_to_u64(f64::NAN))
|
||||
); // nan is not a number
|
||||
assert!(!(f64_to_u64(f64::NEG_INFINITY)..f64_to_u64(f64::INFINITY))
|
||||
.contains(&f64_to_u64(f64::NAN))); // nan is not a number
|
||||
assert!(f64_to_u64(1.5) > f64_to_u64(1.0)); // same exponent, different mantissa
|
||||
assert!(f64_to_u64(2.0) > f64_to_u64(1.0)); // same mantissa, different exponent
|
||||
assert!(f64_to_u64(2.0) > f64_to_u64(1.5)); // different exponent and mantissa
|
||||
|
||||
@@ -222,7 +222,7 @@ impl BinarySerializable for VInt {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use super::{BinarySerializable, VInt, serialize_vint_u32};
|
||||
use super::{serialize_vint_u32, BinarySerializable, VInt};
|
||||
|
||||
fn aux_test_vint(val: u64) {
|
||||
let mut v = [14u8; 10];
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 7.4 KiB After Width: | Height: | Size: 30 KiB |
@@ -51,7 +51,7 @@ fn main() -> tantivy::Result<()> {
|
||||
|
||||
// Our second field is body.
|
||||
// We want full-text search for it, but we do not
|
||||
// need to be able to retrieve it
|
||||
// need to be able to be able to retrieve it
|
||||
// for our application.
|
||||
//
|
||||
// We can make our index lighter by omitting the `STORED` flag.
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
|
||||
name = "ownedbytes"
|
||||
version = "0.9.0"
|
||||
version = "0.7.0"
|
||||
edition = "2021"
|
||||
description = "Expose data as static slice"
|
||||
license = "MIT"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy-query-grammar"
|
||||
version = "0.24.0"
|
||||
version = "0.22.0"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
@@ -9,9 +9,7 @@ homepage = "https://github.com/quickwit-oss/tantivy"
|
||||
repository = "https://github.com/quickwit-oss/tantivy"
|
||||
readme = "README.md"
|
||||
keywords = ["search", "information", "retrieval"]
|
||||
edition = "2024"
|
||||
edition = "2021"
|
||||
|
||||
[dependencies]
|
||||
nom = "7"
|
||||
serde = { version = "1.0.219", features = ["derive"] }
|
||||
serde_json = "1.0.140"
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
use std::convert::Infallible;
|
||||
|
||||
use nom::{AsChar, IResult, InputLength, InputTakeAtPosition};
|
||||
use serde::Serialize;
|
||||
|
||||
pub(crate) type ErrorList = Vec<LenientErrorInternal>;
|
||||
pub(crate) type JResult<I, O> = IResult<I, (O, ErrorList), Infallible>;
|
||||
@@ -16,8 +15,7 @@ pub(crate) struct LenientErrorInternal {
|
||||
}
|
||||
|
||||
/// A recoverable error and the position it happened at
|
||||
#[derive(Debug, PartialEq, Serialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
#[derive(Debug, PartialEq)]
|
||||
pub struct LenientError {
|
||||
pub pos: usize,
|
||||
pub message: String,
|
||||
@@ -186,19 +184,19 @@ macro_rules! tuple_trait_impl(
|
||||
);
|
||||
|
||||
macro_rules! tuple_trait_inner(
|
||||
($it:tt, $self:expr_2021, $input:expr_2021, (), $error_list:expr_2021, $head:ident $($id:ident)+) => ({
|
||||
($it:tt, $self:expr, $input:expr, (), $error_list:expr, $head:ident $($id:ident)+) => ({
|
||||
let (i, (o, mut err)) = $self.$it.parse($input.clone())?;
|
||||
$error_list.append(&mut err);
|
||||
|
||||
succ!($it, tuple_trait_inner!($self, i, ( o ), $error_list, $($id)+))
|
||||
});
|
||||
($it:tt, $self:expr_2021, $input:expr_2021, ($($parsed:tt)*), $error_list:expr_2021, $head:ident $($id:ident)+) => ({
|
||||
($it:tt, $self:expr, $input:expr, ($($parsed:tt)*), $error_list:expr, $head:ident $($id:ident)+) => ({
|
||||
let (i, (o, mut err)) = $self.$it.parse($input.clone())?;
|
||||
$error_list.append(&mut err);
|
||||
|
||||
succ!($it, tuple_trait_inner!($self, i, ($($parsed)* , o), $error_list, $($id)+))
|
||||
});
|
||||
($it:tt, $self:expr_2021, $input:expr_2021, ($($parsed:tt)*), $error_list:expr_2021, $head:ident) => ({
|
||||
($it:tt, $self:expr, $input:expr, ($($parsed:tt)*), $error_list:expr, $head:ident) => ({
|
||||
let (i, (o, mut err)) = $self.$it.parse($input.clone())?;
|
||||
$error_list.append(&mut err);
|
||||
|
||||
@@ -328,13 +326,13 @@ macro_rules! alt_trait_impl(
|
||||
);
|
||||
|
||||
macro_rules! alt_trait_inner(
|
||||
($it:tt, $self:expr_2021, $input:expr_2021, $head_cond:ident $head:ident, $($id_cond:ident $id:ident),+) => (
|
||||
($it:tt, $self:expr, $input:expr, $head_cond:ident $head:ident, $($id_cond:ident $id:ident),+) => (
|
||||
match $self.$it.0.parse($input.clone()) {
|
||||
Err(_) => succ!($it, alt_trait_inner!($self, $input, $($id_cond $id),+)),
|
||||
Ok((input_left, _)) => Some($self.$it.1.parse(input_left)),
|
||||
}
|
||||
);
|
||||
($it:tt, $self:expr_2021, $input:expr_2021, $head_cond:ident $head:ident) => (
|
||||
($it:tt, $self:expr, $input:expr, $head_cond:ident $head:ident) => (
|
||||
None
|
||||
);
|
||||
);
|
||||
@@ -355,21 +353,3 @@ where
|
||||
{
|
||||
move |i: I| l.choice(i.clone()).unwrap_or_else(|| default.parse(i))
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_lenient_error_serialization() {
|
||||
let error = LenientError {
|
||||
pos: 42,
|
||||
message: "test error message".to_string(),
|
||||
};
|
||||
|
||||
assert_eq!(
|
||||
serde_json::to_string(&error).unwrap(),
|
||||
"{\"pos\":42,\"message\":\"test error message\"}"
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,5 @@
|
||||
#![allow(clippy::derive_partial_eq_without_eq)]
|
||||
|
||||
use serde::Serialize;
|
||||
|
||||
mod infallible;
|
||||
mod occur;
|
||||
mod query_grammar;
|
||||
@@ -14,8 +12,6 @@ pub use crate::user_input_ast::{
|
||||
Delimiter, UserInputAst, UserInputBound, UserInputLeaf, UserInputLiteral,
|
||||
};
|
||||
|
||||
#[derive(Debug, Serialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
pub struct Error;
|
||||
|
||||
/// Parse a query
|
||||
@@ -28,31 +24,3 @@ pub fn parse_query(query: &str) -> Result<UserInputAst, Error> {
|
||||
pub fn parse_query_lenient(query: &str) -> (UserInputAst, Vec<LenientError>) {
|
||||
parse_to_ast_lenient(query)
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate::{parse_query, parse_query_lenient};
|
||||
|
||||
#[test]
|
||||
fn test_parse_query_serialization() {
|
||||
let ast = parse_query("title:hello OR title:x").unwrap();
|
||||
let json = serde_json::to_string(&ast).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"bool","clauses":[["should",{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}],["should",{"type":"literal","field_name":"title","phrase":"x","delimiter":"none","slop":0,"prefix":false}]]}"#
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_parse_query_wrong_query() {
|
||||
assert!(parse_query("title:").is_err());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_parse_query_lenient_wrong_query() {
|
||||
let (_, errors) = parse_query_lenient("title:");
|
||||
assert!(errors.len() == 1);
|
||||
let json = serde_json::to_string(&errors).unwrap();
|
||||
assert_eq!(json, r#"[{"pos":6,"message":"expected word"}]"#);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,12 +1,9 @@
|
||||
use std::fmt;
|
||||
use std::fmt::Write;
|
||||
|
||||
use serde::Serialize;
|
||||
|
||||
/// Defines whether a term in a query must be present,
|
||||
/// should be present or must not be present.
|
||||
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq, Serialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq)]
|
||||
pub enum Occur {
|
||||
/// For a given document to be considered for scoring,
|
||||
/// at least one of the queries with the Should or the Must
|
||||
|
||||
@@ -1,26 +1,26 @@
|
||||
use std::borrow::Cow;
|
||||
use std::iter::once;
|
||||
|
||||
use nom::IResult;
|
||||
use nom::branch::alt;
|
||||
use nom::bytes::complete::tag;
|
||||
use nom::character::complete::{
|
||||
anychar, char, digit1, multispace0, multispace1, none_of, one_of, satisfy, u32,
|
||||
};
|
||||
use nom::combinator::{eof, map, map_res, opt, peek, recognize, value, verify};
|
||||
use nom::combinator::{eof, map, map_res, not, opt, peek, recognize, value, verify};
|
||||
use nom::error::{Error, ErrorKind};
|
||||
use nom::multi::{many0, many1, separated_list0};
|
||||
use nom::sequence::{delimited, preceded, separated_pair, terminated, tuple};
|
||||
use nom::IResult;
|
||||
|
||||
use super::user_input_ast::{UserInputAst, UserInputBound, UserInputLeaf, UserInputLiteral};
|
||||
use crate::Occur;
|
||||
use crate::infallible::*;
|
||||
use crate::user_input_ast::Delimiter;
|
||||
use crate::Occur;
|
||||
|
||||
// Note: '-' char is only forbidden at the beginning of a field name, would be clearer to add it to
|
||||
// special characters.
|
||||
const SPECIAL_CHARS: &[char] = &[
|
||||
'+', '^', '`', ':', '{', '}', '"', '\'', '[', ']', '(', ')', '!', '\\', '*', ' ',
|
||||
'+', '^', '`', ':', '{', '}', '"', '\'', '[', ']', '(', ')', '!', '\\', ' ',
|
||||
];
|
||||
|
||||
/// consume a field name followed by colon. Return the field name with escape sequence
|
||||
@@ -305,14 +305,15 @@ fn term_group_infallible(inp: &str) -> JResult<&str, UserInputAst> {
|
||||
let (inp, (field_name, _, _, _)) =
|
||||
tuple((field_name, multispace0, char('('), multispace0))(inp).expect("precondition failed");
|
||||
|
||||
delimited_infallible(
|
||||
let res = delimited_infallible(
|
||||
nothing,
|
||||
map(ast_infallible, |(mut ast, errors)| {
|
||||
ast.set_default_field(field_name.to_string());
|
||||
(ast, errors)
|
||||
}),
|
||||
opt_i_err(char(')'), "expected ')'"),
|
||||
)(inp)
|
||||
)(inp);
|
||||
res
|
||||
}
|
||||
|
||||
fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
|
||||
@@ -320,17 +321,7 @@ fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
|
||||
UserInputLeaf::Exists {
|
||||
field: String::new(),
|
||||
},
|
||||
tuple((
|
||||
multispace0,
|
||||
char('*'),
|
||||
peek(alt((
|
||||
value(
|
||||
"",
|
||||
satisfy(|c: char| c.is_whitespace() || ESCAPE_IN_WORD.contains(&c)),
|
||||
),
|
||||
eof,
|
||||
))),
|
||||
)),
|
||||
tuple((multispace0, char('*'))),
|
||||
)(inp)
|
||||
}
|
||||
|
||||
@@ -340,14 +331,7 @@ fn exists_precond(inp: &str) -> IResult<&str, (), ()> {
|
||||
peek(tuple((
|
||||
field_name,
|
||||
multispace0,
|
||||
char('*'),
|
||||
peek(alt((
|
||||
value(
|
||||
"",
|
||||
satisfy(|c: char| c.is_whitespace() || ESCAPE_IN_WORD.contains(&c)),
|
||||
),
|
||||
eof,
|
||||
))), // we need to check this isn't a wildcard query
|
||||
char('*'), // when we are here, we know it can't be anything but a exists
|
||||
))),
|
||||
)(inp)
|
||||
.map_err(|e| e.map(|_| ()))
|
||||
@@ -695,7 +679,10 @@ fn negate(expr: UserInputAst) -> UserInputAst {
|
||||
fn leaf(inp: &str) -> IResult<&str, UserInputAst> {
|
||||
alt((
|
||||
delimited(char('('), ast, char(')')),
|
||||
map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)),
|
||||
preceded(
|
||||
peek(not(tag("*:"))),
|
||||
map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)),
|
||||
),
|
||||
map(preceded(tuple((tag("NOT"), multispace1)), leaf), negate),
|
||||
literal,
|
||||
))(inp)
|
||||
@@ -716,7 +703,13 @@ fn leaf_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>> {
|
||||
),
|
||||
),
|
||||
(
|
||||
value((), char('*')),
|
||||
value(
|
||||
(),
|
||||
preceded(
|
||||
peek(not(tag("*:"))), // Fail if `*:` is detected
|
||||
char('*'), // Match standalone `*`
|
||||
),
|
||||
),
|
||||
map(nothing, |_| {
|
||||
(Some(UserInputAst::from(UserInputLeaf::All)), Vec::new())
|
||||
}),
|
||||
@@ -1029,7 +1022,7 @@ fn rewrite_ast(mut input: UserInputAst) -> UserInputAst {
|
||||
|
||||
fn rewrite_ast_clause(input: &mut (Option<Occur>, UserInputAst)) {
|
||||
match input {
|
||||
(None, UserInputAst::Clause(clauses)) if clauses.len() == 1 => {
|
||||
(None, UserInputAst::Clause(ref mut clauses)) if clauses.len() == 1 => {
|
||||
*input = clauses.pop().unwrap(); // safe because clauses.len() == 1
|
||||
}
|
||||
_ => {}
|
||||
@@ -1238,6 +1231,7 @@ mod test {
|
||||
|
||||
#[test]
|
||||
fn test_field_name() {
|
||||
assert_eq!(super::field_name("*:a"), Ok(("a", "*".to_string())));
|
||||
assert_eq!(
|
||||
super::field_name(".my.field.name:a"),
|
||||
Ok(("a", ".my.field.name".to_string()))
|
||||
@@ -1375,7 +1369,7 @@ mod test {
|
||||
|
||||
#[test]
|
||||
fn test_range_parser_lenient() {
|
||||
let literal = |query| literal_infallible(query).unwrap().1.0.unwrap();
|
||||
let literal = |query| literal_infallible(query).unwrap().1 .0.unwrap();
|
||||
|
||||
// same tests as non-lenient
|
||||
let res = literal("title: <hello");
|
||||
@@ -1543,6 +1537,11 @@ mod test {
|
||||
test_parse_query_to_ast_helper("abc:toto", "\"abc\":toto");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn all_field_star() {
|
||||
test_parse_query_to_ast_helper("*:toto", "\"*\":toto");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_phrase_with_field() {
|
||||
test_parse_query_to_ast_helper("abc:\"happy tax payer\"", "\"abc\":\"happy tax payer\"");
|
||||
@@ -1640,19 +1639,13 @@ mod test {
|
||||
|
||||
#[test]
|
||||
fn test_exist_query() {
|
||||
test_parse_query_to_ast_helper("a:*", "$exists(\"a\")");
|
||||
test_parse_query_to_ast_helper("a: *", "$exists(\"a\")");
|
||||
test_parse_query_to_ast_helper("a:*", "\"a\":*");
|
||||
test_parse_query_to_ast_helper("a: *", "\"a\":*");
|
||||
// an exist followed by default term being b
|
||||
test_is_parse_err("a:*b", "(*\"a\":* *b)");
|
||||
|
||||
test_parse_query_to_ast_helper(
|
||||
"(hello AND toto:*) OR happy",
|
||||
"(?(+hello +$exists(\"toto\")) ?happy)",
|
||||
);
|
||||
test_parse_query_to_ast_helper("(a:*)", "$exists(\"a\")");
|
||||
|
||||
// these are term/wildcard query (not a phrase prefix)
|
||||
// this is a term query (not a phrase prefix)
|
||||
test_parse_query_to_ast_helper("a:b*", "\"a\":b*");
|
||||
test_parse_query_to_ast_helper("a:*b", "\"a\":*b");
|
||||
test_parse_query_to_ast_helper(r#"a:*def*"#, "\"a\":*def*");
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -1,13 +1,9 @@
|
||||
use std::fmt;
|
||||
use std::fmt::{Debug, Formatter};
|
||||
|
||||
use serde::Serialize;
|
||||
|
||||
use crate::Occur;
|
||||
|
||||
#[derive(PartialEq, Clone, Serialize)]
|
||||
#[serde(tag = "type")]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
#[derive(PartialEq, Clone)]
|
||||
pub enum UserInputLeaf {
|
||||
Literal(UserInputLiteral),
|
||||
All,
|
||||
@@ -51,7 +47,7 @@ impl UserInputLeaf {
|
||||
|
||||
pub(crate) fn set_default_field(&mut self, default_field: String) {
|
||||
match self {
|
||||
UserInputLeaf::Literal(literal) if literal.field_name.is_none() => {
|
||||
UserInputLeaf::Literal(ref mut literal) if literal.field_name.is_none() => {
|
||||
literal.field_name = Some(default_field)
|
||||
}
|
||||
UserInputLeaf::All => {
|
||||
@@ -59,8 +55,12 @@ impl UserInputLeaf {
|
||||
field: default_field,
|
||||
}
|
||||
}
|
||||
UserInputLeaf::Range { field, .. } if field.is_none() => *field = Some(default_field),
|
||||
UserInputLeaf::Set { field, .. } if field.is_none() => *field = Some(default_field),
|
||||
UserInputLeaf::Range { ref mut field, .. } if field.is_none() => {
|
||||
*field = Some(default_field)
|
||||
}
|
||||
UserInputLeaf::Set { ref mut field, .. } if field.is_none() => {
|
||||
*field = Some(default_field)
|
||||
}
|
||||
_ => (), // field was already set, do nothing
|
||||
}
|
||||
}
|
||||
@@ -71,11 +71,11 @@ impl Debug for UserInputLeaf {
|
||||
match self {
|
||||
UserInputLeaf::Literal(literal) => literal.fmt(formatter),
|
||||
UserInputLeaf::Range {
|
||||
field,
|
||||
lower,
|
||||
upper,
|
||||
ref field,
|
||||
ref lower,
|
||||
ref upper,
|
||||
} => {
|
||||
if let Some(field) = field {
|
||||
if let Some(ref field) = field {
|
||||
// TODO properly escape field (in case of \")
|
||||
write!(formatter, "\"{field}\":")?;
|
||||
}
|
||||
@@ -85,7 +85,7 @@ impl Debug for UserInputLeaf {
|
||||
Ok(())
|
||||
}
|
||||
UserInputLeaf::Set { field, elements } => {
|
||||
if let Some(field) = field {
|
||||
if let Some(ref field) = field {
|
||||
// TODO properly escape field (in case of \")
|
||||
write!(formatter, "\"{field}\": ")?;
|
||||
}
|
||||
@@ -101,22 +101,20 @@ impl Debug for UserInputLeaf {
|
||||
}
|
||||
UserInputLeaf::All => write!(formatter, "*"),
|
||||
UserInputLeaf::Exists { field } => {
|
||||
write!(formatter, "$exists(\"{field}\")")
|
||||
write!(formatter, "\"{field}\":*")
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Copy, Clone, Eq, PartialEq, Debug, Serialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
#[derive(Copy, Clone, Eq, PartialEq, Debug)]
|
||||
pub enum Delimiter {
|
||||
SingleQuotes,
|
||||
DoubleQuotes,
|
||||
None,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Clone, Serialize)]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
#[derive(PartialEq, Clone)]
|
||||
pub struct UserInputLiteral {
|
||||
pub field_name: Option<String>,
|
||||
pub phrase: String,
|
||||
@@ -154,9 +152,7 @@ impl fmt::Debug for UserInputLiteral {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Debug, Clone, Serialize)]
|
||||
#[serde(tag = "type", content = "value")]
|
||||
#[serde(rename_all = "snake_case")]
|
||||
#[derive(PartialEq, Debug, Clone)]
|
||||
pub enum UserInputBound {
|
||||
Inclusive(String),
|
||||
Exclusive(String),
|
||||
@@ -191,38 +187,11 @@ impl UserInputBound {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Clone, Serialize)]
|
||||
#[serde(into = "UserInputAstSerde")]
|
||||
#[derive(PartialEq, Clone)]
|
||||
pub enum UserInputAst {
|
||||
Clause(Vec<(Option<Occur>, UserInputAst)>),
|
||||
Leaf(Box<UserInputLeaf>),
|
||||
Boost(Box<UserInputAst>, f64),
|
||||
Leaf(Box<UserInputLeaf>),
|
||||
}
|
||||
|
||||
#[derive(Serialize)]
|
||||
#[serde(tag = "type", rename_all = "snake_case")]
|
||||
enum UserInputAstSerde {
|
||||
Bool {
|
||||
clauses: Vec<(Option<Occur>, UserInputAst)>,
|
||||
},
|
||||
Boost {
|
||||
underlying: Box<UserInputAst>,
|
||||
boost: f64,
|
||||
},
|
||||
#[serde(untagged)]
|
||||
Leaf(Box<UserInputLeaf>),
|
||||
}
|
||||
|
||||
impl From<UserInputAst> for UserInputAstSerde {
|
||||
fn from(ast: UserInputAst) -> Self {
|
||||
match ast {
|
||||
UserInputAst::Clause(clause) => UserInputAstSerde::Bool { clauses: clause },
|
||||
UserInputAst::Boost(underlying, boost) => {
|
||||
UserInputAstSerde::Boost { underlying, boost }
|
||||
}
|
||||
UserInputAst::Leaf(leaf) => UserInputAstSerde::Leaf(leaf),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl UserInputAst {
|
||||
@@ -263,7 +232,7 @@ impl UserInputAst {
|
||||
.iter_mut()
|
||||
.for_each(|(_, ast)| ast.set_default_field(field.clone())),
|
||||
UserInputAst::Leaf(leaf) => leaf.set_default_field(field),
|
||||
UserInputAst::Boost(ast, _) => ast.set_default_field(field),
|
||||
UserInputAst::Boost(ref mut ast, _) => ast.set_default_field(field),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -316,126 +285,3 @@ impl fmt::Debug for UserInputAst {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_all_leaf_serialization() {
|
||||
let ast = UserInputAst::Leaf(Box::new(UserInputLeaf::All));
|
||||
let json = serde_json::to_string(&ast).unwrap();
|
||||
assert_eq!(json, r#"{"type":"all"}"#);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_literal_leaf_serialization() {
|
||||
let literal = UserInputLiteral {
|
||||
field_name: Some("title".to_string()),
|
||||
phrase: "hello".to_string(),
|
||||
delimiter: Delimiter::None,
|
||||
slop: 0,
|
||||
prefix: false,
|
||||
};
|
||||
let ast = UserInputAst::Leaf(Box::new(UserInputLeaf::Literal(literal)));
|
||||
let json = serde_json::to_string(&ast).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}"#
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_range_leaf_serialization() {
|
||||
let range = UserInputLeaf::Range {
|
||||
field: Some("price".to_string()),
|
||||
lower: UserInputBound::Inclusive("10".to_string()),
|
||||
upper: UserInputBound::Exclusive("100".to_string()),
|
||||
};
|
||||
let ast = UserInputAst::Leaf(Box::new(range));
|
||||
let json = serde_json::to_string(&ast).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"range","field":"price","lower":{"type":"inclusive","value":"10"},"upper":{"type":"exclusive","value":"100"}}"#
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_range_leaf_unbounded_serialization() {
|
||||
let range = UserInputLeaf::Range {
|
||||
field: Some("price".to_string()),
|
||||
lower: UserInputBound::Inclusive("10".to_string()),
|
||||
upper: UserInputBound::Unbounded,
|
||||
};
|
||||
let ast = UserInputAst::Leaf(Box::new(range));
|
||||
let json = serde_json::to_string(&ast).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"range","field":"price","lower":{"type":"inclusive","value":"10"},"upper":{"type":"unbounded"}}"#
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_boost_serialization() {
|
||||
let inner_ast = UserInputAst::Leaf(Box::new(UserInputLeaf::All));
|
||||
let boost_ast = UserInputAst::Boost(Box::new(inner_ast), 2.5);
|
||||
let json = serde_json::to_string(&boost_ast).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"boost","underlying":{"type":"all"},"boost":2.5}"#
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_boost_serialization2() {
|
||||
let boost_ast = UserInputAst::Boost(
|
||||
Box::new(UserInputAst::Clause(vec![
|
||||
(
|
||||
Some(Occur::Must),
|
||||
UserInputAst::Leaf(Box::new(UserInputLeaf::All)),
|
||||
),
|
||||
(
|
||||
Some(Occur::Should),
|
||||
UserInputAst::Leaf(Box::new(UserInputLeaf::Literal(UserInputLiteral {
|
||||
field_name: Some("title".to_string()),
|
||||
phrase: "hello".to_string(),
|
||||
delimiter: Delimiter::None,
|
||||
slop: 0,
|
||||
prefix: false,
|
||||
}))),
|
||||
),
|
||||
])),
|
||||
2.5,
|
||||
);
|
||||
let json = serde_json::to_string(&boost_ast).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"boost","underlying":{"type":"bool","clauses":[["must",{"type":"all"}],["should",{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}]]},"boost":2.5}"#
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_clause_serialization() {
|
||||
let clause = UserInputAst::Clause(vec![
|
||||
(
|
||||
Some(Occur::Must),
|
||||
UserInputAst::Leaf(Box::new(UserInputLeaf::All)),
|
||||
),
|
||||
(
|
||||
Some(Occur::Should),
|
||||
UserInputAst::Leaf(Box::new(UserInputLeaf::Literal(UserInputLiteral {
|
||||
field_name: Some("title".to_string()),
|
||||
phrase: "hello".to_string(),
|
||||
delimiter: Delimiter::None,
|
||||
slop: 0,
|
||||
prefix: false,
|
||||
}))),
|
||||
),
|
||||
]);
|
||||
let json = serde_json::to_string(&clause).unwrap();
|
||||
assert_eq!(
|
||||
json,
|
||||
r#"{"type":"bool","clauses":[["must",{"type":"all"}],["should",{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}]]}"#
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -271,6 +271,10 @@ impl AggregationWithAccessor {
|
||||
field: ref field_name,
|
||||
..
|
||||
})
|
||||
| Count(CountAggregation {
|
||||
field: ref field_name,
|
||||
..
|
||||
})
|
||||
| Max(MaxAggregation {
|
||||
field: ref field_name,
|
||||
..
|
||||
@@ -295,24 +299,6 @@ impl AggregationWithAccessor {
|
||||
get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?;
|
||||
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?;
|
||||
}
|
||||
Count(CountAggregation {
|
||||
field: ref field_name,
|
||||
..
|
||||
}) => {
|
||||
let allowed_column_types = [
|
||||
ColumnType::I64,
|
||||
ColumnType::U64,
|
||||
ColumnType::F64,
|
||||
ColumnType::Str,
|
||||
ColumnType::DateTime,
|
||||
ColumnType::Bool,
|
||||
ColumnType::IpAddr,
|
||||
// ColumnType::Bytes Unsupported
|
||||
];
|
||||
let (accessor, column_type) =
|
||||
get_ff_reader(reader, field_name, Some(&allowed_column_types))?;
|
||||
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?;
|
||||
}
|
||||
Percentiles(ref percentiles) => {
|
||||
let (accessor, column_type) = get_ff_reader(
|
||||
reader,
|
||||
|
||||
@@ -34,10 +34,10 @@ use crate::aggregation::*;
|
||||
pub struct DateHistogramAggregationReq {
|
||||
#[doc(hidden)]
|
||||
/// Only for validation
|
||||
pub interval: Option<String>,
|
||||
interval: Option<String>,
|
||||
#[doc(hidden)]
|
||||
/// Only for validation
|
||||
pub calendar_interval: Option<String>,
|
||||
calendar_interval: Option<String>,
|
||||
/// The field to aggregate on.
|
||||
pub field: String,
|
||||
/// The format to format dates. Unsupported currently.
|
||||
|
||||
@@ -518,7 +518,7 @@ impl SegmentTermCollector {
|
||||
|term| {
|
||||
let entry = entries[idx];
|
||||
let intermediate_entry = into_intermediate_bucket_entry(entry.0, entry.1)
|
||||
.map_err(io::Error::other)?;
|
||||
.map_err(|err| io::Error::new(io::ErrorKind::Other, err))?;
|
||||
dict.insert(
|
||||
IntermediateKey::Str(
|
||||
String::from_utf8(term.to_vec()).expect("could not convert to String"),
|
||||
|
||||
@@ -220,23 +220,9 @@ impl SegmentStatsCollector {
|
||||
.column_block_accessor
|
||||
.fetch_block(docs, &agg_accessor.accessor);
|
||||
}
|
||||
if [
|
||||
ColumnType::I64,
|
||||
ColumnType::U64,
|
||||
ColumnType::F64,
|
||||
ColumnType::DateTime,
|
||||
]
|
||||
.contains(&self.field_type)
|
||||
{
|
||||
for val in agg_accessor.column_block_accessor.iter_vals() {
|
||||
let val1 = f64_from_fastfield_u64(val, &self.field_type);
|
||||
self.stats.collect(val1);
|
||||
}
|
||||
} else {
|
||||
for _val in agg_accessor.column_block_accessor.iter_vals() {
|
||||
// we ignore the value and simply record that we got something
|
||||
self.stats.collect(0.0);
|
||||
}
|
||||
for val in agg_accessor.column_block_accessor.iter_vals() {
|
||||
let val1 = f64_from_fastfield_u64(val, &self.field_type);
|
||||
self.stats.collect(val1);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -449,11 +435,6 @@ mod tests {
|
||||
"field": "score",
|
||||
},
|
||||
},
|
||||
"count_str": {
|
||||
"value_count": {
|
||||
"field": "text",
|
||||
},
|
||||
},
|
||||
"range": range_agg
|
||||
}))
|
||||
.unwrap();
|
||||
@@ -519,13 +500,6 @@ mod tests {
|
||||
})
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
res["count_str"],
|
||||
json!({
|
||||
"value": 7.0,
|
||||
})
|
||||
);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
|
||||
@@ -229,7 +229,6 @@ impl TopHitsAggregationReq {
|
||||
self.sort
|
||||
.iter()
|
||||
.map(|KeyOrder { field, .. }| field.as_str())
|
||||
.chain(self.doc_value_fields.iter().map(|s| s.as_str()))
|
||||
.collect()
|
||||
}
|
||||
|
||||
|
||||
@@ -366,12 +366,8 @@ impl PartialEq for Key {
|
||||
fn eq(&self, other: &Self) -> bool {
|
||||
match (self, other) {
|
||||
(Self::Str(l), Self::Str(r)) => l == r,
|
||||
(Self::F64(l), Self::F64(r)) => l.to_bits() == r.to_bits(),
|
||||
(Self::I64(l), Self::I64(r)) => l == r,
|
||||
(Self::U64(l), Self::U64(r)) => l == r,
|
||||
// we list all variant of left operand to make sure this gets updated when we add
|
||||
// variants to the enum
|
||||
(Self::Str(_) | Self::F64(_) | Self::I64(_) | Self::U64(_), _) => false,
|
||||
(Self::F64(l), Self::F64(r)) => l == r,
|
||||
_ => false,
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -582,7 +578,7 @@ mod tests {
|
||||
.set_indexing_options(
|
||||
TextFieldIndexing::default().set_index_option(IndexRecordOption::WithFreqs),
|
||||
)
|
||||
.set_fast(Some("raw"))
|
||||
.set_fast(None)
|
||||
.set_stored();
|
||||
let text_field = schema_builder.add_text_field("text", text_fieldtype);
|
||||
let date_field = schema_builder.add_date_field("date", FAST);
|
||||
|
||||
@@ -484,6 +484,7 @@ impl FacetCounts {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::collections::BTreeSet;
|
||||
use std::iter;
|
||||
|
||||
use columnar::Dictionary;
|
||||
use rand::distributions::Uniform;
|
||||
@@ -738,7 +739,7 @@ mod tests {
|
||||
.flat_map(|(c, count)| {
|
||||
let facet = Facet::from(&format!("/facet/{c}"));
|
||||
let doc = doc!(facet_field => facet);
|
||||
std::iter::repeat_n(doc, count)
|
||||
iter::repeat(doc).take(count)
|
||||
})
|
||||
.map(|mut doc| {
|
||||
doc.add_facet(
|
||||
@@ -786,7 +787,7 @@ mod tests {
|
||||
.flat_map(|(c, count)| {
|
||||
let facet = Facet::from(&format!("/facet/{c}"));
|
||||
let doc = doc!(facet_field => facet);
|
||||
std::iter::repeat_n(doc, count)
|
||||
iter::repeat(doc).take(count)
|
||||
})
|
||||
.collect();
|
||||
|
||||
|
||||
@@ -2,13 +2,11 @@ use std::fmt;
|
||||
use std::marker::PhantomData;
|
||||
use std::sync::Arc;
|
||||
|
||||
use columnar::{ColumnValues, StrColumn};
|
||||
use columnar::ColumnValues;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::Collector;
|
||||
use crate::collector::custom_score_top_collector::{
|
||||
CustomScoreTopCollector, CustomScoreTopSegmentCollector,
|
||||
};
|
||||
use crate::collector::custom_score_top_collector::CustomScoreTopCollector;
|
||||
use crate::collector::top_collector::{ComparableDoc, TopCollector, TopSegmentCollector};
|
||||
use crate::collector::tweak_score_top_collector::TweakedScoreTopCollector;
|
||||
use crate::collector::{
|
||||
@@ -16,7 +14,6 @@ use crate::collector::{
|
||||
};
|
||||
use crate::fastfield::{FastFieldNotAvailableError, FastValue};
|
||||
use crate::query::Weight;
|
||||
use crate::termdict::TermOrdinal;
|
||||
use crate::{DocAddress, DocId, Order, Score, SegmentOrdinal, SegmentReader, TantivyError};
|
||||
|
||||
struct FastFieldConvertCollector<
|
||||
@@ -86,163 +83,6 @@ where
|
||||
}
|
||||
}
|
||||
|
||||
struct StringConvertCollector {
|
||||
pub collector: CustomScoreTopCollector<ScorerByField, u64>,
|
||||
pub field: String,
|
||||
order: Order,
|
||||
limit: usize,
|
||||
offset: usize,
|
||||
}
|
||||
|
||||
impl Collector for StringConvertCollector {
|
||||
type Fruit = Vec<(String, DocAddress)>;
|
||||
|
||||
type Child = StringConvertSegmentCollector;
|
||||
|
||||
fn for_segment(
|
||||
&self,
|
||||
segment_local_id: crate::SegmentOrdinal,
|
||||
segment: &SegmentReader,
|
||||
) -> crate::Result<Self::Child> {
|
||||
let schema = segment.schema();
|
||||
let field = schema.get_field(&self.field)?;
|
||||
let field_entry = schema.get_field_entry(field);
|
||||
if !field_entry.is_fast() {
|
||||
return Err(TantivyError::SchemaError(format!(
|
||||
"Field {:?} is not a fast field.",
|
||||
field_entry.name()
|
||||
)));
|
||||
}
|
||||
let requested_type = crate::schema::Type::Str;
|
||||
let schema_type = field_entry.field_type().value_type();
|
||||
if schema_type != requested_type {
|
||||
return Err(TantivyError::SchemaError(format!(
|
||||
"Field {:?} is of type {schema_type:?}!={requested_type:?}",
|
||||
field_entry.name()
|
||||
)));
|
||||
}
|
||||
let ff = segment
|
||||
.fast_fields()
|
||||
.str(&self.field)?
|
||||
.expect("ff should be a str field");
|
||||
Ok(StringConvertSegmentCollector {
|
||||
collector: self.collector.for_segment(segment_local_id, segment)?,
|
||||
ff,
|
||||
order: self.order.clone(),
|
||||
})
|
||||
}
|
||||
|
||||
fn requires_scoring(&self) -> bool {
|
||||
self.collector.requires_scoring()
|
||||
}
|
||||
|
||||
fn merge_fruits(
|
||||
&self,
|
||||
child_fruits: Vec<<Self::Child as SegmentCollector>::Fruit>,
|
||||
) -> crate::Result<Self::Fruit> {
|
||||
if self.limit == 0 {
|
||||
return Ok(Vec::new());
|
||||
}
|
||||
if self.order.is_desc() {
|
||||
let mut top_collector: TopNComputer<_, _, true> =
|
||||
TopNComputer::new(self.limit + self.offset);
|
||||
for child_fruit in child_fruits {
|
||||
for (feature, doc) in child_fruit {
|
||||
top_collector.push(feature, doc);
|
||||
}
|
||||
}
|
||||
Ok(top_collector
|
||||
.into_sorted_vec()
|
||||
.into_iter()
|
||||
.skip(self.offset)
|
||||
.map(|cdoc| (cdoc.feature, cdoc.doc))
|
||||
.collect())
|
||||
} else {
|
||||
let mut top_collector: TopNComputer<_, _, false> =
|
||||
TopNComputer::new(self.limit + self.offset);
|
||||
for child_fruit in child_fruits {
|
||||
for (feature, doc) in child_fruit {
|
||||
top_collector.push(feature, doc);
|
||||
}
|
||||
}
|
||||
|
||||
Ok(top_collector
|
||||
.into_sorted_vec()
|
||||
.into_iter()
|
||||
.skip(self.offset)
|
||||
.map(|cdoc| (cdoc.feature, cdoc.doc))
|
||||
.collect())
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct StringConvertSegmentCollector {
|
||||
pub collector: CustomScoreTopSegmentCollector<ScorerByFastFieldReader, u64>,
|
||||
ff: StrColumn,
|
||||
order: Order,
|
||||
}
|
||||
|
||||
impl SegmentCollector for StringConvertSegmentCollector {
|
||||
type Fruit = Vec<(String, DocAddress)>;
|
||||
|
||||
fn collect(&mut self, doc: DocId, score: Score) {
|
||||
self.collector.collect(doc, score);
|
||||
}
|
||||
|
||||
fn harvest(self) -> Vec<(String, DocAddress)> {
|
||||
let top_ordinals: Vec<(TermOrdinal, DocAddress)> = self.collector.harvest();
|
||||
|
||||
// Collect terms.
|
||||
let mut terms: Vec<String> = Vec::with_capacity(top_ordinals.len());
|
||||
let result = if self.order.is_asc() {
|
||||
self.ff.dictionary().sorted_ords_to_term_cb(
|
||||
top_ordinals.iter().map(|(term_ord, _)| u64::MAX - term_ord),
|
||||
|term| {
|
||||
terms.push(
|
||||
std::str::from_utf8(term)
|
||||
.expect("Failed to decode term as unicode")
|
||||
.to_owned(),
|
||||
);
|
||||
Ok(())
|
||||
},
|
||||
)
|
||||
} else {
|
||||
self.ff.dictionary().sorted_ords_to_term_cb(
|
||||
top_ordinals.iter().rev().map(|(term_ord, _)| *term_ord),
|
||||
|term| {
|
||||
terms.push(
|
||||
std::str::from_utf8(term)
|
||||
.expect("Failed to decode term as unicode")
|
||||
.to_owned(),
|
||||
);
|
||||
Ok(())
|
||||
},
|
||||
)
|
||||
};
|
||||
|
||||
assert!(
|
||||
result.expect("Failed to read terms from term dictionary"),
|
||||
"Not all terms were matched in segment."
|
||||
);
|
||||
|
||||
// Zip them back with their docs.
|
||||
if self.order.is_asc() {
|
||||
terms
|
||||
.into_iter()
|
||||
.zip(top_ordinals)
|
||||
.map(|(term, (_, doc))| (term, doc))
|
||||
.collect()
|
||||
} else {
|
||||
terms
|
||||
.into_iter()
|
||||
.rev()
|
||||
.zip(top_ordinals)
|
||||
.map(|(term, (_, doc))| (term, doc))
|
||||
.collect()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// The `TopDocs` collector keeps track of the top `K` documents
|
||||
/// sorted by their score.
|
||||
///
|
||||
@@ -570,30 +410,6 @@ impl TopDocs {
|
||||
}
|
||||
}
|
||||
|
||||
/// Like `order_by_fast_field`, but for a `String` fast field.
|
||||
pub fn order_by_string_fast_field(
|
||||
self,
|
||||
fast_field: impl ToString,
|
||||
order: Order,
|
||||
) -> impl Collector<Fruit = Vec<(String, DocAddress)>> {
|
||||
let limit = self.0.limit;
|
||||
let offset = self.0.offset;
|
||||
let u64_collector = CustomScoreTopCollector::new(
|
||||
ScorerByField {
|
||||
field: fast_field.to_string(),
|
||||
order: order.clone(),
|
||||
},
|
||||
self.0.into_tscore(),
|
||||
);
|
||||
StringConvertCollector {
|
||||
collector: u64_collector,
|
||||
field: fast_field.to_string(),
|
||||
order,
|
||||
limit,
|
||||
offset,
|
||||
}
|
||||
}
|
||||
|
||||
/// Ranks the documents using a custom score.
|
||||
///
|
||||
/// This method offers a convenient way to tweak or replace
|
||||
@@ -970,7 +786,7 @@ impl<Score, D, const R: bool> From<TopNComputerDeser<Score, D, R>> for TopNCompu
|
||||
}
|
||||
}
|
||||
|
||||
impl<Score, D, const REVERSE_ORDER: bool> TopNComputer<Score, D, REVERSE_ORDER>
|
||||
impl<Score, D, const R: bool> TopNComputer<Score, D, R>
|
||||
where
|
||||
Score: PartialOrd + Clone,
|
||||
D: Ord,
|
||||
@@ -991,10 +807,7 @@ where
|
||||
#[inline]
|
||||
pub fn push(&mut self, feature: Score, doc: D) {
|
||||
if let Some(last_median) = self.threshold.clone() {
|
||||
if !REVERSE_ORDER && feature > last_median {
|
||||
return;
|
||||
}
|
||||
if REVERSE_ORDER && feature < last_median {
|
||||
if feature < last_median {
|
||||
return;
|
||||
}
|
||||
}
|
||||
@@ -1029,7 +842,7 @@ where
|
||||
}
|
||||
|
||||
/// Returns the top n elements in sorted order.
|
||||
pub fn into_sorted_vec(mut self) -> Vec<ComparableDoc<Score, D, REVERSE_ORDER>> {
|
||||
pub fn into_sorted_vec(mut self) -> Vec<ComparableDoc<Score, D, R>> {
|
||||
if self.buffer.len() > self.top_n {
|
||||
self.truncate_top_n();
|
||||
}
|
||||
@@ -1040,7 +853,7 @@ where
|
||||
/// Returns the top n elements in stored order.
|
||||
/// Useful if you do not need the elements in sorted order,
|
||||
/// for example when merging the results of multiple segments.
|
||||
pub fn into_vec(mut self) -> Vec<ComparableDoc<Score, D, REVERSE_ORDER>> {
|
||||
pub fn into_vec(mut self) -> Vec<ComparableDoc<Score, D, R>> {
|
||||
if self.buffer.len() > self.top_n {
|
||||
self.truncate_top_n();
|
||||
}
|
||||
@@ -1050,11 +863,9 @@ where
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use proptest::prelude::*;
|
||||
|
||||
use super::{TopDocs, TopNComputer};
|
||||
use crate::collector::top_collector::ComparableDoc;
|
||||
use crate::collector::{Collector, DocSetCollector};
|
||||
use crate::collector::Collector;
|
||||
use crate::query::{AllQuery, Query, QueryParser};
|
||||
use crate::schema::{Field, Schema, FAST, STORED, TEXT};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
@@ -1149,44 +960,6 @@ mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
proptest! {
|
||||
#[test]
|
||||
fn test_topn_computer_asc_prop(
|
||||
limit in 0..10_usize,
|
||||
docs in proptest::collection::vec((0..100_u64, 0..100_u64), 0..100_usize),
|
||||
) {
|
||||
let mut computer: TopNComputer<_, _, false> = TopNComputer::new(limit);
|
||||
for (feature, doc) in &docs {
|
||||
computer.push(*feature, *doc);
|
||||
}
|
||||
let mut comparable_docs = docs.into_iter().map(|(feature, doc)| ComparableDoc { feature, doc }).collect::<Vec<_>>();
|
||||
comparable_docs.sort();
|
||||
comparable_docs.truncate(limit);
|
||||
prop_assert_eq!(
|
||||
computer.into_sorted_vec(),
|
||||
comparable_docs,
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_topn_computer_desc_prop(
|
||||
limit in 0..10_usize,
|
||||
docs in proptest::collection::vec((0..100_u64, 0..100_u64), 0..100_usize),
|
||||
) {
|
||||
let mut computer: TopNComputer<_, _, true> = TopNComputer::new(limit);
|
||||
for (feature, doc) in &docs {
|
||||
computer.push(*feature, *doc);
|
||||
}
|
||||
let mut comparable_docs = docs.into_iter().map(|(feature, doc)| ComparableDoc { feature, doc }).collect::<Vec<_>>();
|
||||
comparable_docs.sort();
|
||||
comparable_docs.truncate(limit);
|
||||
prop_assert_eq!(
|
||||
computer.into_sorted_vec(),
|
||||
comparable_docs,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_top_collector_not_at_capacity_without_offset() -> crate::Result<()> {
|
||||
let index = make_index()?;
|
||||
@@ -1441,160 +1214,6 @@ mod tests {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_top_field_collector_string() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let city = schema_builder.add_text_field("city", TEXT | FAST);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
index_writer.add_document(doc!(
|
||||
city => "austin",
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
city => "greenville",
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
city => "tokyo",
|
||||
))?;
|
||||
index_writer.commit()?;
|
||||
|
||||
fn query(
|
||||
index: &Index,
|
||||
order: Order,
|
||||
limit: usize,
|
||||
offset: usize,
|
||||
) -> crate::Result<Vec<(String, DocAddress)>> {
|
||||
let searcher = index.reader()?.searcher();
|
||||
let top_collector = TopDocs::with_limit(limit)
|
||||
.and_offset(offset)
|
||||
.order_by_string_fast_field("city", order);
|
||||
searcher.search(&AllQuery, &top_collector)
|
||||
}
|
||||
|
||||
assert_eq!(
|
||||
&query(&index, Order::Desc, 3, 0)?,
|
||||
&[
|
||||
("tokyo".to_owned(), DocAddress::new(0, 2)),
|
||||
("greenville".to_owned(), DocAddress::new(0, 1)),
|
||||
("austin".to_owned(), DocAddress::new(0, 0)),
|
||||
]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
&query(&index, Order::Desc, 2, 0)?,
|
||||
&[
|
||||
("tokyo".to_owned(), DocAddress::new(0, 2)),
|
||||
("greenville".to_owned(), DocAddress::new(0, 1)),
|
||||
]
|
||||
);
|
||||
|
||||
assert_eq!(&query(&index, Order::Desc, 3, 3)?, &[]);
|
||||
|
||||
assert_eq!(
|
||||
&query(&index, Order::Desc, 2, 1)?,
|
||||
&[
|
||||
("greenville".to_owned(), DocAddress::new(0, 1)),
|
||||
("austin".to_owned(), DocAddress::new(0, 0)),
|
||||
]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
&query(&index, Order::Asc, 3, 0)?,
|
||||
&[
|
||||
("austin".to_owned(), DocAddress::new(0, 0)),
|
||||
("greenville".to_owned(), DocAddress::new(0, 1)),
|
||||
("tokyo".to_owned(), DocAddress::new(0, 2)),
|
||||
]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
&query(&index, Order::Asc, 2, 1)?,
|
||||
&[
|
||||
("greenville".to_owned(), DocAddress::new(0, 1)),
|
||||
("tokyo".to_owned(), DocAddress::new(0, 2)),
|
||||
]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
&query(&index, Order::Asc, 2, 0)?,
|
||||
&[
|
||||
("austin".to_owned(), DocAddress::new(0, 0)),
|
||||
("greenville".to_owned(), DocAddress::new(0, 1)),
|
||||
]
|
||||
);
|
||||
|
||||
assert_eq!(&query(&index, Order::Asc, 3, 3)?, &[]);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
proptest! {
|
||||
#[test]
|
||||
fn test_top_field_collect_string_prop(
|
||||
order in prop_oneof!(Just(Order::Desc), Just(Order::Asc)),
|
||||
limit in 1..256_usize,
|
||||
offset in 0..256_usize,
|
||||
segments_terms in
|
||||
proptest::collection::vec(
|
||||
proptest::collection::vec(0..32_u8, 1..32_usize),
|
||||
0..8_usize,
|
||||
)
|
||||
) {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let city = schema_builder.add_text_field("city", TEXT | FAST);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
|
||||
// A Vec<Vec<u8>>, where the outer Vec represents segments, and the inner Vec
|
||||
// represents terms.
|
||||
for segment_terms in segments_terms.into_iter() {
|
||||
for term in segment_terms.into_iter() {
|
||||
let term = format!("{term:0>3}");
|
||||
index_writer.add_document(doc!(
|
||||
city => term,
|
||||
))?;
|
||||
}
|
||||
index_writer.commit()?;
|
||||
}
|
||||
|
||||
let searcher = index.reader()?.searcher();
|
||||
let top_n_results = searcher.search(&AllQuery, &TopDocs::with_limit(limit)
|
||||
.and_offset(offset)
|
||||
.order_by_string_fast_field("city", order.clone()))?;
|
||||
let all_results = searcher.search(&AllQuery, &DocSetCollector)?.into_iter().map(|doc_address| {
|
||||
// Get the term for this address.
|
||||
// NOTE: We can't determine the SegmentIds that will be generated for Segments
|
||||
// ahead of time, so we can't pre-compute the expected `DocAddress`es.
|
||||
let column = searcher.segment_readers()[doc_address.segment_ord as usize].fast_fields().str("city").unwrap().unwrap();
|
||||
let term_ord = column.term_ords(doc_address.doc_id).next().unwrap();
|
||||
let mut city = Vec::new();
|
||||
column.dictionary().ord_to_term(term_ord, &mut city).unwrap();
|
||||
(String::try_from(city).unwrap(), doc_address)
|
||||
});
|
||||
|
||||
// Using the TopDocs collector should always be equivalent to sorting, skipping the
|
||||
// offset, and then taking the limit.
|
||||
let sorted_docs: Vec<_> = if order.is_desc() {
|
||||
let mut comparable_docs: Vec<ComparableDoc<_, _, true>> =
|
||||
all_results.into_iter().map(|(feature, doc)| ComparableDoc { feature, doc}).collect();
|
||||
comparable_docs.sort();
|
||||
comparable_docs.into_iter().map(|cd| (cd.feature, cd.doc)).collect()
|
||||
} else {
|
||||
let mut comparable_docs: Vec<ComparableDoc<_, _, false>> =
|
||||
all_results.into_iter().map(|(feature, doc)| ComparableDoc { feature, doc}).collect();
|
||||
comparable_docs.sort();
|
||||
comparable_docs.into_iter().map(|cd| (cd.feature, cd.doc)).collect()
|
||||
};
|
||||
let expected_docs = sorted_docs.into_iter().skip(offset).take(limit).collect::<Vec<_>>();
|
||||
prop_assert_eq!(
|
||||
expected_docs,
|
||||
top_n_results
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[should_panic]
|
||||
fn test_field_does_not_exist() {
|
||||
@@ -1754,29 +1373,4 @@ mod tests {
|
||||
);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_topn_computer_asc() {
|
||||
let mut computer: TopNComputer<u32, u32, false> = TopNComputer::new(2);
|
||||
|
||||
computer.push(1u32, 1u32);
|
||||
computer.push(2u32, 2u32);
|
||||
computer.push(3u32, 3u32);
|
||||
computer.push(2u32, 4u32);
|
||||
computer.push(4u32, 5u32);
|
||||
computer.push(1u32, 6u32);
|
||||
assert_eq!(
|
||||
computer.into_sorted_vec(),
|
||||
&[
|
||||
ComparableDoc {
|
||||
feature: 1u32,
|
||||
doc: 1u32,
|
||||
},
|
||||
ComparableDoc {
|
||||
feature: 1u32,
|
||||
doc: 6u32,
|
||||
}
|
||||
]
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -30,7 +30,7 @@ fn create_format() {
|
||||
}
|
||||
|
||||
fn path_for_version(version: &str) -> String {
|
||||
format!("./tests/compat_tests_data/index_v{version}/")
|
||||
format!("./tests/compat_tests_data/index_v{}/", version)
|
||||
}
|
||||
|
||||
/// feature flag quickwit uses a different dictionary type
|
||||
|
||||
@@ -41,12 +41,16 @@ impl Executor {
|
||||
///
|
||||
/// Regardless of the executor (`SingleThread` or `ThreadPool`), panics in the task
|
||||
/// will propagate to the caller.
|
||||
pub fn map<A, R, F>(&self, f: F, args: impl Iterator<Item = A>) -> crate::Result<Vec<R>>
|
||||
where
|
||||
pub fn map<
|
||||
A: Send,
|
||||
R: Send,
|
||||
AIterator: Iterator<Item = A>,
|
||||
F: Sized + Sync + Fn(A) -> crate::Result<R>,
|
||||
{
|
||||
>(
|
||||
&self,
|
||||
f: F,
|
||||
args: AIterator,
|
||||
) -> crate::Result<Vec<R>> {
|
||||
match self {
|
||||
Executor::SingleThread => args.map(f).collect::<crate::Result<_>>(),
|
||||
Executor::ThreadPool(pool) => {
|
||||
@@ -65,7 +69,8 @@ impl Executor {
|
||||
if let Err(err) = fruit_sender_ref.send((idx, fruit)) {
|
||||
error!(
|
||||
"Failed to send search task. It probably means all search \
|
||||
threads have panicked. {err:?}"
|
||||
threads have panicked. {:?}",
|
||||
err
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
@@ -214,7 +214,7 @@ impl Searcher {
|
||||
/// It is powerless at making search faster if your index consists in
|
||||
/// one large segment.
|
||||
///
|
||||
/// Also, keep in mind multithreading a single query on several
|
||||
/// Also, keep in my multithreading a single query on several
|
||||
/// threads will not improve your throughput. It can actually
|
||||
/// hurt it. It will however, decrease the average response time.
|
||||
pub fn search_with_executor<C: Collector>(
|
||||
|
||||
@@ -56,7 +56,7 @@ impl<T: Send + Sync + 'static> From<Box<T>> for DirectoryLock {
|
||||
impl Drop for DirectoryLockGuard {
|
||||
fn drop(&mut self) {
|
||||
if let Err(e) = self.directory.delete(&self.path) {
|
||||
error!("Failed to remove the lock file. {e:?}");
|
||||
error!("Failed to remove the lock file. {:?}", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -51,7 +51,7 @@ impl FileWatcher {
|
||||
.map(|current_checksum| current_checksum != checksum)
|
||||
.unwrap_or(true);
|
||||
if metafile_has_changed {
|
||||
info!("Meta file {path:?} was modified");
|
||||
info!("Meta file {:?} was modified", path);
|
||||
current_checksum_opt = Some(checksum);
|
||||
// We actually ignore callbacks failing here.
|
||||
// We just wait for the end of their execution.
|
||||
@@ -75,7 +75,7 @@ impl FileWatcher {
|
||||
let reader = match fs::File::open(path) {
|
||||
Ok(f) => io::BufReader::new(f),
|
||||
Err(e) => {
|
||||
warn!("Failed to open meta file {path:?}: {e:?}");
|
||||
warn!("Failed to open meta file {:?}: {:?}", path, e);
|
||||
return Err(e);
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,9 +1,3 @@
|
||||
//! The footer is a small metadata structure that is appended at the end of every file.
|
||||
//!
|
||||
//! The footer is used to store a checksum of the file content.
|
||||
//! The footer also stores the version of the index format.
|
||||
//! This version is used to detect incompatibility between the index and the library version.
|
||||
|
||||
use std::io;
|
||||
use std::io::Write;
|
||||
|
||||
@@ -26,22 +20,20 @@ type CrcHashU32 = u32;
|
||||
/// A Footer is appended to every file
|
||||
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
|
||||
pub struct Footer {
|
||||
/// The version of the index format
|
||||
pub version: Version,
|
||||
/// The crc32 hash of the body
|
||||
pub crc: CrcHashU32,
|
||||
}
|
||||
|
||||
impl Footer {
|
||||
pub(crate) fn new(crc: CrcHashU32) -> Self {
|
||||
pub fn new(crc: CrcHashU32) -> Self {
|
||||
let version = crate::VERSION.clone();
|
||||
Footer { version, crc }
|
||||
}
|
||||
|
||||
pub(crate) fn crc(&self) -> CrcHashU32 {
|
||||
pub fn crc(&self) -> CrcHashU32 {
|
||||
self.crc
|
||||
}
|
||||
pub(crate) fn append_footer<W: io::Write>(&self, mut write: &mut W) -> io::Result<()> {
|
||||
pub fn append_footer<W: io::Write>(&self, mut write: &mut W) -> io::Result<()> {
|
||||
let mut counting_write = CountingWriter::wrap(&mut write);
|
||||
counting_write.write_all(serde_json::to_string(&self)?.as_ref())?;
|
||||
let footer_payload_len = counting_write.written_bytes();
|
||||
@@ -50,7 +42,6 @@ impl Footer {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Extracts the tantivy Footer from the file and returns the footer and the rest of the file
|
||||
pub fn extract_footer(file: FileSlice) -> io::Result<(Footer, FileSlice)> {
|
||||
if file.len() < 4 {
|
||||
return Err(io::Error::new(
|
||||
|
||||
@@ -157,7 +157,7 @@ impl ManagedDirectory {
|
||||
for file_to_delete in files_to_delete {
|
||||
match self.delete(&file_to_delete) {
|
||||
Ok(_) => {
|
||||
info!("Deleted {file_to_delete:?}");
|
||||
info!("Deleted {:?}", file_to_delete);
|
||||
deleted_files.push(file_to_delete);
|
||||
}
|
||||
Err(file_error) => {
|
||||
@@ -170,7 +170,7 @@ impl ManagedDirectory {
|
||||
if !cfg!(target_os = "windows") {
|
||||
// On windows, delete is expected to fail if the file
|
||||
// is mmapped.
|
||||
error!("Failed to delete {file_to_delete:?}");
|
||||
error!("Failed to delete {:?}", file_to_delete);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -7,7 +7,7 @@ use std::path::{Path, PathBuf};
|
||||
use std::sync::{Arc, RwLock, Weak};
|
||||
|
||||
use common::StableDeref;
|
||||
use fs4::fs_std::FileExt;
|
||||
use fs4::FileExt;
|
||||
#[cfg(all(feature = "mmap", unix))]
|
||||
pub use memmap2::Advice;
|
||||
use memmap2::Mmap;
|
||||
@@ -29,7 +29,7 @@ pub type WeakArcBytes = Weak<dyn Deref<Target = [u8]> + Send + Sync + 'static>;
|
||||
|
||||
/// Create a default io error given a string.
|
||||
pub(crate) fn make_io_err(msg: String) -> io::Error {
|
||||
io::Error::other(msg)
|
||||
io::Error::new(io::ErrorKind::Other, msg)
|
||||
}
|
||||
|
||||
/// Returns `None` iff the file exists, can be read, but is empty (and hence
|
||||
@@ -369,7 +369,7 @@ pub(crate) fn atomic_write(path: &Path, content: &[u8]) -> io::Result<()> {
|
||||
|
||||
impl Directory for MmapDirectory {
|
||||
fn get_file_handle(&self, path: &Path) -> Result<Arc<dyn FileHandle>, OpenReadError> {
|
||||
debug!("Open Read {path:?}");
|
||||
debug!("Open Read {:?}", path);
|
||||
let full_path = self.resolve_path(path);
|
||||
|
||||
let mut mmap_cache = self.inner.mmap_cache.write().map_err(|_| {
|
||||
@@ -414,7 +414,7 @@ impl Directory for MmapDirectory {
|
||||
}
|
||||
|
||||
fn open_write(&self, path: &Path) -> Result<WritePtr, OpenWriteError> {
|
||||
debug!("Open Write {path:?}");
|
||||
debug!("Open Write {:?}", path);
|
||||
let full_path = self.resolve_path(path);
|
||||
|
||||
let open_res = OpenOptions::new()
|
||||
@@ -467,7 +467,7 @@ impl Directory for MmapDirectory {
|
||||
}
|
||||
|
||||
fn atomic_write(&self, path: &Path, content: &[u8]) -> io::Result<()> {
|
||||
debug!("Atomic Write {path:?}");
|
||||
debug!("Atomic Write {:?}", path);
|
||||
let full_path = self.resolve_path(path);
|
||||
atomic_write(&full_path, content)?;
|
||||
Ok(())
|
||||
@@ -485,9 +485,7 @@ impl Directory for MmapDirectory {
|
||||
if lock.is_blocking {
|
||||
file.lock_exclusive().map_err(LockError::wrap_io_error)?;
|
||||
} else {
|
||||
if !file.try_lock_exclusive().map_err(|_| LockError::LockBusy)? {
|
||||
return Err(LockError::LockBusy);
|
||||
}
|
||||
file.try_lock_exclusive().map_err(|_| LockError::LockBusy)?
|
||||
}
|
||||
// dropping the file handle will release the lock.
|
||||
Ok(DirectoryLock::from(Box::new(ReleaseLockFile {
|
||||
|
||||
@@ -6,7 +6,7 @@ mod mmap_directory;
|
||||
mod directory;
|
||||
mod directory_lock;
|
||||
mod file_watcher;
|
||||
pub mod footer;
|
||||
mod footer;
|
||||
mod managed_directory;
|
||||
mod ram_directory;
|
||||
mod watch_event_router;
|
||||
|
||||
@@ -191,7 +191,7 @@ impl Directory for RamDirectory {
|
||||
.fs
|
||||
.read()
|
||||
.map_err(|e| OpenReadError::IoError {
|
||||
io_error: Arc::new(io::Error::other(e.to_string())),
|
||||
io_error: Arc::new(io::Error::new(io::ErrorKind::Other, e.to_string())),
|
||||
filepath: path.to_path_buf(),
|
||||
})?
|
||||
.exists(path))
|
||||
|
||||
@@ -90,7 +90,10 @@ impl WatchCallbackList {
|
||||
let _ = sender.send(Ok(()));
|
||||
});
|
||||
if let Err(err) = spawn_res {
|
||||
error!("Failed to spawn thread to call watch callbacks. Cause: {err:?}");
|
||||
error!(
|
||||
"Failed to spawn thread to call watch callbacks. Cause: {:?}",
|
||||
err
|
||||
);
|
||||
}
|
||||
result
|
||||
}
|
||||
|
||||
@@ -942,7 +942,7 @@ mod tests {
|
||||
|
||||
let numbers = [100, 200, 300];
|
||||
let test_range = |range: RangeInclusive<u64>| {
|
||||
let expected_count = numbers.iter().filter(|num| range.contains(*num)).count();
|
||||
let expected_count = numbers.iter().filter(|num| range.contains(num)).count();
|
||||
let mut vec = vec![];
|
||||
field.get_row_ids_for_value_range(range, 0..u32::MAX, &mut vec);
|
||||
assert_eq!(vec.len(), expected_count);
|
||||
@@ -1020,7 +1020,7 @@ mod tests {
|
||||
|
||||
let numbers = [1000, 1001, 1003];
|
||||
let test_range = |range: RangeInclusive<u64>| {
|
||||
let expected_count = numbers.iter().filter(|num| range.contains(*num)).count();
|
||||
let expected_count = numbers.iter().filter(|num| range.contains(num)).count();
|
||||
let mut vec = vec![];
|
||||
field.get_row_ids_for_value_range(range, 0..u32::MAX, &mut vec);
|
||||
assert_eq!(vec.len(), expected_count);
|
||||
|
||||
@@ -217,7 +217,7 @@ impl FastFieldReaders {
|
||||
Ok(dynamic_column.into())
|
||||
}
|
||||
|
||||
/// Returns a `dynamic_column_handle`.
|
||||
/// Returning a `dynamic_column_handle`.
|
||||
pub fn dynamic_column_handle(
|
||||
&self,
|
||||
field_name: &str,
|
||||
@@ -234,7 +234,7 @@ impl FastFieldReaders {
|
||||
Ok(dynamic_column_handle_opt)
|
||||
}
|
||||
|
||||
/// Returns all `dynamic_column_handle` that match the given field name.
|
||||
/// Returning all `dynamic_column_handle`.
|
||||
pub fn dynamic_column_handles(
|
||||
&self,
|
||||
field_name: &str,
|
||||
@@ -250,22 +250,6 @@ impl FastFieldReaders {
|
||||
Ok(dynamic_column_handles)
|
||||
}
|
||||
|
||||
/// Returns all `dynamic_column_handle` that are inner fields of the provided JSON path.
|
||||
pub fn dynamic_subpath_column_handles(
|
||||
&self,
|
||||
root_path: &str,
|
||||
) -> crate::Result<Vec<DynamicColumnHandle>> {
|
||||
let Some(resolved_field_name) = self.resolve_field(root_path)? else {
|
||||
return Ok(Vec::new());
|
||||
};
|
||||
let dynamic_column_handles = self
|
||||
.columnar
|
||||
.read_subpath_columns(&resolved_field_name)?
|
||||
.into_iter()
|
||||
.collect();
|
||||
Ok(dynamic_column_handles)
|
||||
}
|
||||
|
||||
#[doc(hidden)]
|
||||
pub async fn list_dynamic_column_handles(
|
||||
&self,
|
||||
@@ -281,21 +265,6 @@ impl FastFieldReaders {
|
||||
Ok(columns)
|
||||
}
|
||||
|
||||
#[doc(hidden)]
|
||||
pub async fn list_subpath_dynamic_column_handles(
|
||||
&self,
|
||||
root_path: &str,
|
||||
) -> crate::Result<Vec<DynamicColumnHandle>> {
|
||||
let Some(resolved_field_name) = self.resolve_field(root_path)? else {
|
||||
return Ok(Vec::new());
|
||||
};
|
||||
let columns = self
|
||||
.columnar
|
||||
.read_subpath_columns_async(&resolved_field_name)
|
||||
.await?;
|
||||
Ok(columns)
|
||||
}
|
||||
|
||||
/// Returns the `u64` column used to represent any `u64`-mapped typed (String/Bytes term ids,
|
||||
/// i64, u64, f64, DateTime).
|
||||
///
|
||||
@@ -507,15 +476,6 @@ mod tests {
|
||||
.iter()
|
||||
.any(|column| column.column_type() == ColumnType::Str));
|
||||
|
||||
let json_columns = fast_fields.dynamic_column_handles("json").unwrap();
|
||||
assert_eq!(json_columns.len(), 0);
|
||||
|
||||
let json_subcolumns = fast_fields.dynamic_subpath_column_handles("json").unwrap();
|
||||
assert_eq!(json_subcolumns.len(), 3);
|
||||
|
||||
let foo_subcolumns = fast_fields
|
||||
.dynamic_subpath_column_handles("json.foo")
|
||||
.unwrap();
|
||||
assert_eq!(foo_subcolumns.len(), 0);
|
||||
println!("*** {:?}", fast_fields.columnar().list_columns());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -15,9 +15,7 @@ use crate::directory::MmapDirectory;
|
||||
use crate::directory::{Directory, ManagedDirectory, RamDirectory, INDEX_WRITER_LOCK};
|
||||
use crate::error::{DataCorruption, TantivyError};
|
||||
use crate::index::{IndexMeta, SegmentId, SegmentMeta, SegmentMetaInventory};
|
||||
use crate::indexer::index_writer::{
|
||||
IndexWriterOptions, MAX_NUM_THREAD, MEMORY_BUDGET_NUM_BYTES_MIN,
|
||||
};
|
||||
use crate::indexer::index_writer::{MAX_NUM_THREAD, MEMORY_BUDGET_NUM_BYTES_MIN};
|
||||
use crate::indexer::segment_updater::save_metas;
|
||||
use crate::indexer::{IndexWriter, SingleSegmentIndexWriter};
|
||||
use crate::reader::{IndexReader, IndexReaderBuilder};
|
||||
@@ -521,43 +519,6 @@ impl Index {
|
||||
load_metas(self.directory(), &self.inventory)
|
||||
}
|
||||
|
||||
/// Open a new index writer with the given options. Attempts to acquire a lockfile.
|
||||
///
|
||||
/// The lockfile should be deleted on drop, but it is possible
|
||||
/// that due to a panic or other error, a stale lockfile will be
|
||||
/// left in the index directory. If you are sure that no other
|
||||
/// `IndexWriter` on the system is accessing the index directory,
|
||||
/// it is safe to manually delete the lockfile.
|
||||
///
|
||||
/// - `options` defines the writer configuration which includes things like buffer sizes,
|
||||
/// indexer threads, etc...
|
||||
///
|
||||
/// # Errors
|
||||
/// If the lockfile already exists, returns `TantivyError::LockFailure`.
|
||||
/// If the memory arena per thread is too small or too big, returns
|
||||
/// `TantivyError::InvalidArgument`
|
||||
pub fn writer_with_options<D: Document>(
|
||||
&self,
|
||||
options: IndexWriterOptions,
|
||||
) -> crate::Result<IndexWriter<D>> {
|
||||
let directory_lock = self
|
||||
.directory
|
||||
.acquire_lock(&INDEX_WRITER_LOCK)
|
||||
.map_err(|err| {
|
||||
TantivyError::LockFailure(
|
||||
err,
|
||||
Some(
|
||||
"Failed to acquire index lock. If you are using a regular directory, this \
|
||||
means there is already an `IndexWriter` working on this `Directory`, in \
|
||||
this process or in a different process."
|
||||
.to_string(),
|
||||
),
|
||||
)
|
||||
})?;
|
||||
|
||||
IndexWriter::new(self, options, directory_lock)
|
||||
}
|
||||
|
||||
/// Open a new index writer. Attempts to acquire a lockfile.
|
||||
///
|
||||
/// The lockfile should be deleted on drop, but it is possible
|
||||
@@ -582,12 +543,27 @@ impl Index {
|
||||
num_threads: usize,
|
||||
overall_memory_budget_in_bytes: usize,
|
||||
) -> crate::Result<IndexWriter<D>> {
|
||||
let directory_lock = self
|
||||
.directory
|
||||
.acquire_lock(&INDEX_WRITER_LOCK)
|
||||
.map_err(|err| {
|
||||
TantivyError::LockFailure(
|
||||
err,
|
||||
Some(
|
||||
"Failed to acquire index lock. If you are using a regular directory, this \
|
||||
means there is already an `IndexWriter` working on this `Directory`, in \
|
||||
this process or in a different process."
|
||||
.to_string(),
|
||||
),
|
||||
)
|
||||
})?;
|
||||
let memory_arena_in_bytes_per_thread = overall_memory_budget_in_bytes / num_threads;
|
||||
let options = IndexWriterOptions::builder()
|
||||
.num_worker_threads(num_threads)
|
||||
.memory_budget_per_thread(memory_arena_in_bytes_per_thread)
|
||||
.build();
|
||||
self.writer_with_options(options)
|
||||
IndexWriter::new(
|
||||
self,
|
||||
num_threads,
|
||||
memory_arena_in_bytes_per_thread,
|
||||
directory_lock,
|
||||
)
|
||||
}
|
||||
|
||||
/// Helper to create an index writer for tests.
|
||||
|
||||
@@ -3,12 +3,6 @@ use std::io;
|
||||
use common::json_path_writer::JSON_END_OF_PATH;
|
||||
use common::BinarySerializable;
|
||||
use fnv::FnvHashSet;
|
||||
#[cfg(feature = "quickwit")]
|
||||
use futures_util::{FutureExt, StreamExt, TryStreamExt};
|
||||
#[cfg(feature = "quickwit")]
|
||||
use itertools::Itertools;
|
||||
#[cfg(feature = "quickwit")]
|
||||
use tantivy_fst::automaton::{AlwaysMatch, Automaton};
|
||||
|
||||
use crate::directory::FileSlice;
|
||||
use crate::positions::PositionReader;
|
||||
@@ -225,18 +219,13 @@ impl InvertedIndexReader {
|
||||
self.termdict.get_async(term.serialized_value_bytes()).await
|
||||
}
|
||||
|
||||
async fn get_term_range_async<'a, A: Automaton + 'a>(
|
||||
&'a self,
|
||||
async fn get_term_range_async(
|
||||
&self,
|
||||
terms: impl std::ops::RangeBounds<Term>,
|
||||
automaton: A,
|
||||
limit: Option<u64>,
|
||||
merge_holes_under_bytes: usize,
|
||||
) -> io::Result<impl Iterator<Item = TermInfo> + 'a>
|
||||
where
|
||||
A::State: Clone,
|
||||
{
|
||||
) -> io::Result<impl Iterator<Item = TermInfo> + '_> {
|
||||
use std::ops::Bound;
|
||||
let range_builder = self.termdict.search(automaton);
|
||||
let range_builder = self.termdict.range();
|
||||
let range_builder = match terms.start_bound() {
|
||||
Bound::Included(bound) => range_builder.ge(bound.serialized_value_bytes()),
|
||||
Bound::Excluded(bound) => range_builder.gt(bound.serialized_value_bytes()),
|
||||
@@ -253,9 +242,7 @@ impl InvertedIndexReader {
|
||||
range_builder
|
||||
};
|
||||
|
||||
let mut stream = range_builder
|
||||
.into_stream_async_merging_holes(merge_holes_under_bytes)
|
||||
.await?;
|
||||
let mut stream = range_builder.into_stream_async().await?;
|
||||
|
||||
let iter = std::iter::from_fn(move || stream.next().map(|(_k, v)| v.clone()));
|
||||
|
||||
@@ -301,9 +288,7 @@ impl InvertedIndexReader {
|
||||
limit: Option<u64>,
|
||||
with_positions: bool,
|
||||
) -> io::Result<bool> {
|
||||
let mut term_info = self
|
||||
.get_term_range_async(terms, AlwaysMatch, limit, 0)
|
||||
.await?;
|
||||
let mut term_info = self.get_term_range_async(terms, limit).await?;
|
||||
|
||||
let Some(first_terminfo) = term_info.next() else {
|
||||
// no key matches, nothing more to load
|
||||
@@ -330,84 +315,6 @@ impl InvertedIndexReader {
|
||||
Ok(true)
|
||||
}
|
||||
|
||||
/// Warmup a block postings given a range of `Term`s.
|
||||
/// This method is for an advanced usage only.
|
||||
///
|
||||
/// returns a boolean, whether a term matching the range was found in the dictionary
|
||||
pub async fn warm_postings_automaton<
|
||||
A: Automaton + Clone + Send + 'static,
|
||||
E: FnOnce(Box<dyn FnOnce() -> io::Result<()> + Send>) -> F,
|
||||
F: std::future::Future<Output = io::Result<()>>,
|
||||
>(
|
||||
&self,
|
||||
automaton: A,
|
||||
// with_positions: bool, at the moment we have no use for it, and supporting it would add
|
||||
// complexity to the coalesce
|
||||
executor: E,
|
||||
) -> io::Result<bool>
|
||||
where
|
||||
A::State: Clone,
|
||||
{
|
||||
// merge holes under 4MiB, that's how many bytes we can hope to receive during a TTFB from
|
||||
// S3 (~80MiB/s, and 50ms latency)
|
||||
const MERGE_HOLES_UNDER_BYTES: usize = (80 * 1024 * 1024 * 50) / 1000;
|
||||
// we build a first iterator to download everything. Simply calling the function already
|
||||
// download everything we need from the sstable, but doesn't start iterating over it.
|
||||
let _term_info_iter = self
|
||||
.get_term_range_async(.., automaton.clone(), None, MERGE_HOLES_UNDER_BYTES)
|
||||
.await?;
|
||||
|
||||
let (sender, posting_ranges_to_load_stream) = futures_channel::mpsc::unbounded();
|
||||
let termdict = self.termdict.clone();
|
||||
let cpu_bound_task = move || {
|
||||
// then we build a 2nd iterator, this one with no holes, so we don't go through blocks
|
||||
// we can't match.
|
||||
// This makes the assumption there is a caching layer below us, which gives sync read
|
||||
// for free after the initial async access. This might not always be true, but is in
|
||||
// Quickwit.
|
||||
// We build things from this closure otherwise we get into lifetime issues that can only
|
||||
// be solved with self referential strucs. Returning an io::Result from here is a bit
|
||||
// more leaky abstraction-wise, but a lot better than the alternative
|
||||
let mut stream = termdict.search(automaton).into_stream()?;
|
||||
|
||||
// we could do without an iterator, but this allows us access to coalesce which simplify
|
||||
// things
|
||||
let posting_ranges_iter =
|
||||
std::iter::from_fn(move || stream.next().map(|(_k, v)| v.postings_range.clone()));
|
||||
|
||||
let merged_posting_ranges_iter = posting_ranges_iter.coalesce(|range1, range2| {
|
||||
if range1.end + MERGE_HOLES_UNDER_BYTES >= range2.start {
|
||||
Ok(range1.start..range2.end)
|
||||
} else {
|
||||
Err((range1, range2))
|
||||
}
|
||||
});
|
||||
|
||||
for posting_range in merged_posting_ranges_iter {
|
||||
if let Err(_) = sender.unbounded_send(posting_range) {
|
||||
// this should happen only when search is cancelled
|
||||
return Err(io::Error::other("failed to send posting range back"));
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
};
|
||||
let task_handle = executor(Box::new(cpu_bound_task));
|
||||
|
||||
let posting_downloader = posting_ranges_to_load_stream
|
||||
.map(|posting_slice| {
|
||||
self.postings_file_slice
|
||||
.read_bytes_slice_async(posting_slice)
|
||||
.map(|result| result.map(|_slice| ()))
|
||||
})
|
||||
.buffer_unordered(5)
|
||||
.try_collect::<Vec<()>>();
|
||||
|
||||
let (_, slices_downloaded) =
|
||||
futures_util::future::try_join(task_handle, posting_downloader).await?;
|
||||
|
||||
Ok(!slices_downloaded.is_empty())
|
||||
}
|
||||
|
||||
/// Warmup the block postings for all terms.
|
||||
/// This method is for an advanced usage only.
|
||||
///
|
||||
|
||||
@@ -45,23 +45,6 @@ fn error_in_index_worker_thread(context: &str) -> TantivyError {
|
||||
))
|
||||
}
|
||||
|
||||
#[derive(Clone, bon::Builder)]
|
||||
/// A builder for creating a new [IndexWriter] for an index.
|
||||
pub struct IndexWriterOptions {
|
||||
#[builder(default = MEMORY_BUDGET_NUM_BYTES_MIN)]
|
||||
/// The memory budget per indexer thread.
|
||||
///
|
||||
/// When an indexer thread has buffered this much data in memory
|
||||
/// it will flush the segment to disk (although this is not searchable until commit is called.)
|
||||
memory_budget_per_thread: usize,
|
||||
#[builder(default = 1)]
|
||||
/// The number of indexer worker threads to use.
|
||||
num_worker_threads: usize,
|
||||
#[builder(default = 4)]
|
||||
/// Defines the number of merger threads to use.
|
||||
num_merge_threads: usize,
|
||||
}
|
||||
|
||||
/// `IndexWriter` is the user entry-point to add document to an index.
|
||||
///
|
||||
/// It manages a small number of indexing thread, as well as a shared
|
||||
@@ -75,7 +58,8 @@ pub struct IndexWriter<D: Document = TantivyDocument> {
|
||||
|
||||
index: Index,
|
||||
|
||||
options: IndexWriterOptions,
|
||||
// The memory budget per thread, after which a commit is triggered.
|
||||
memory_budget_in_bytes_per_thread: usize,
|
||||
|
||||
workers_join_handle: Vec<JoinHandle<crate::Result<()>>>,
|
||||
|
||||
@@ -86,6 +70,8 @@ pub struct IndexWriter<D: Document = TantivyDocument> {
|
||||
|
||||
worker_id: usize,
|
||||
|
||||
num_threads: usize,
|
||||
|
||||
delete_queue: DeleteQueue,
|
||||
|
||||
stamper: Stamper,
|
||||
@@ -279,27 +265,23 @@ impl<D: Document> IndexWriter<D> {
|
||||
/// `TantivyError::InvalidArgument`
|
||||
pub(crate) fn new(
|
||||
index: &Index,
|
||||
options: IndexWriterOptions,
|
||||
num_threads: usize,
|
||||
memory_budget_in_bytes_per_thread: usize,
|
||||
directory_lock: DirectoryLock,
|
||||
) -> crate::Result<Self> {
|
||||
if options.memory_budget_per_thread < MEMORY_BUDGET_NUM_BYTES_MIN {
|
||||
if memory_budget_in_bytes_per_thread < MEMORY_BUDGET_NUM_BYTES_MIN {
|
||||
let err_msg = format!(
|
||||
"The memory arena in bytes per thread needs to be at least \
|
||||
{MEMORY_BUDGET_NUM_BYTES_MIN}."
|
||||
);
|
||||
return Err(TantivyError::InvalidArgument(err_msg));
|
||||
}
|
||||
if options.memory_budget_per_thread >= MEMORY_BUDGET_NUM_BYTES_MAX {
|
||||
if memory_budget_in_bytes_per_thread >= MEMORY_BUDGET_NUM_BYTES_MAX {
|
||||
let err_msg = format!(
|
||||
"The memory arena in bytes per thread cannot exceed {MEMORY_BUDGET_NUM_BYTES_MAX}"
|
||||
);
|
||||
return Err(TantivyError::InvalidArgument(err_msg));
|
||||
}
|
||||
if options.num_worker_threads == 0 {
|
||||
let err_msg = "At least one worker thread is required, got 0".to_string();
|
||||
return Err(TantivyError::InvalidArgument(err_msg));
|
||||
}
|
||||
|
||||
let (document_sender, document_receiver) =
|
||||
crossbeam_channel::bounded(PIPELINE_MAX_SIZE_IN_DOCS);
|
||||
|
||||
@@ -309,17 +291,13 @@ impl<D: Document> IndexWriter<D> {
|
||||
|
||||
let stamper = Stamper::new(current_opstamp);
|
||||
|
||||
let segment_updater = SegmentUpdater::create(
|
||||
index.clone(),
|
||||
stamper.clone(),
|
||||
&delete_queue.cursor(),
|
||||
options.num_merge_threads,
|
||||
)?;
|
||||
let segment_updater =
|
||||
SegmentUpdater::create(index.clone(), stamper.clone(), &delete_queue.cursor())?;
|
||||
|
||||
let mut index_writer = Self {
|
||||
_directory_lock: Some(directory_lock),
|
||||
|
||||
options: options.clone(),
|
||||
memory_budget_in_bytes_per_thread,
|
||||
index: index.clone(),
|
||||
index_writer_status: IndexWriterStatus::from(document_receiver),
|
||||
operation_sender: document_sender,
|
||||
@@ -327,6 +305,7 @@ impl<D: Document> IndexWriter<D> {
|
||||
segment_updater,
|
||||
|
||||
workers_join_handle: vec![],
|
||||
num_threads,
|
||||
|
||||
delete_queue,
|
||||
|
||||
@@ -370,7 +349,7 @@ impl<D: Document> IndexWriter<D> {
|
||||
.map_err(|_| error_in_index_worker_thread("Failed to join merging thread."));
|
||||
|
||||
if let Err(ref e) = result {
|
||||
error!("Some merging thread failed {e:?}");
|
||||
error!("Some merging thread failed {:?}", e);
|
||||
}
|
||||
|
||||
result
|
||||
@@ -419,7 +398,7 @@ impl<D: Document> IndexWriter<D> {
|
||||
|
||||
let mut delete_cursor = self.delete_queue.cursor();
|
||||
|
||||
let mem_budget = self.options.memory_budget_per_thread;
|
||||
let mem_budget = self.memory_budget_in_bytes_per_thread;
|
||||
let index = self.index.clone();
|
||||
let join_handle: JoinHandle<crate::Result<()>> = thread::Builder::new()
|
||||
.name(format!("thrd-tantivy-index{}", self.worker_id))
|
||||
@@ -472,7 +451,7 @@ impl<D: Document> IndexWriter<D> {
|
||||
}
|
||||
|
||||
fn start_workers(&mut self) -> crate::Result<()> {
|
||||
for _ in 0..self.options.num_worker_threads {
|
||||
for _ in 0..self.num_threads {
|
||||
self.add_indexing_worker()?;
|
||||
}
|
||||
Ok(())
|
||||
@@ -574,7 +553,12 @@ impl<D: Document> IndexWriter<D> {
|
||||
.take()
|
||||
.expect("The IndexWriter does not have any lock. This is a bug, please report.");
|
||||
|
||||
let new_index_writer = IndexWriter::new(&self.index, self.options.clone(), directory_lock)?;
|
||||
let new_index_writer = IndexWriter::new(
|
||||
&self.index,
|
||||
self.num_threads,
|
||||
self.memory_budget_in_bytes_per_thread,
|
||||
directory_lock,
|
||||
)?;
|
||||
|
||||
// the current `self` is dropped right away because of this call.
|
||||
//
|
||||
@@ -644,7 +628,7 @@ impl<D: Document> IndexWriter<D> {
|
||||
|
||||
let commit_opstamp = self.stamper.stamp();
|
||||
let prepared_commit = PreparedCommit::new(self, commit_opstamp);
|
||||
info!("Prepared commit {commit_opstamp}");
|
||||
info!("Prepared commit {}", commit_opstamp);
|
||||
Ok(prepared_commit)
|
||||
}
|
||||
|
||||
@@ -828,7 +812,7 @@ mod tests {
|
||||
use crate::directory::error::LockError;
|
||||
use crate::error::*;
|
||||
use crate::indexer::index_writer::MEMORY_BUDGET_NUM_BYTES_MIN;
|
||||
use crate::indexer::{IndexWriterOptions, NoMergePolicy};
|
||||
use crate::indexer::NoMergePolicy;
|
||||
use crate::query::{QueryParser, TermQuery};
|
||||
use crate::schema::{
|
||||
self, Facet, FacetOptions, IndexRecordOption, IpAddrOptions, JsonObjectOptions,
|
||||
@@ -2549,36 +2533,4 @@ mod tests {
|
||||
index_writer.commit().unwrap();
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_writer_options_validation() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let _field = schema_builder.add_bool_field("example", STORED);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
let opt_wo_threads = IndexWriterOptions::builder().num_worker_threads(0).build();
|
||||
let result = index.writer_with_options::<TantivyDocument>(opt_wo_threads);
|
||||
assert!(result.is_err(), "Writer should reject 0 thread count");
|
||||
assert!(matches!(result, Err(TantivyError::InvalidArgument(_))));
|
||||
|
||||
let opt_with_low_memory = IndexWriterOptions::builder()
|
||||
.memory_budget_per_thread(10 << 10)
|
||||
.build();
|
||||
let result = index.writer_with_options::<TantivyDocument>(opt_with_low_memory);
|
||||
assert!(
|
||||
result.is_err(),
|
||||
"Writer should reject options with too low memory size"
|
||||
);
|
||||
assert!(matches!(result, Err(TantivyError::InvalidArgument(_))));
|
||||
|
||||
let opt_with_low_memory = IndexWriterOptions::builder()
|
||||
.memory_budget_per_thread(5 << 30)
|
||||
.build();
|
||||
let result = index.writer_with_options::<TantivyDocument>(opt_with_low_memory);
|
||||
assert!(
|
||||
result.is_err(),
|
||||
"Writer should reject options with too high memory size"
|
||||
);
|
||||
assert!(matches!(result, Err(TantivyError::InvalidArgument(_))));
|
||||
}
|
||||
}
|
||||
|
||||
@@ -31,7 +31,7 @@ mod stamper;
|
||||
use crossbeam_channel as channel;
|
||||
use smallvec::SmallVec;
|
||||
|
||||
pub use self::index_writer::{IndexWriter, IndexWriterOptions};
|
||||
pub use self::index_writer::IndexWriter;
|
||||
pub use self::log_merge_policy::LogMergePolicy;
|
||||
pub use self::merge_operation::MergeOperation;
|
||||
pub use self::merge_policy::{MergeCandidate, MergePolicy, NoMergePolicy};
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
use std::any::Any;
|
||||
use std::borrow::BorrowMut;
|
||||
use std::collections::HashSet;
|
||||
use std::io::Write;
|
||||
@@ -24,9 +23,9 @@ use crate::indexer::{
|
||||
DefaultMergePolicy, MergeCandidate, MergeOperation, MergePolicy, SegmentEntry,
|
||||
SegmentSerializer,
|
||||
};
|
||||
use crate::{FutureResult, Opstamp, TantivyError};
|
||||
use crate::{FutureResult, Opstamp};
|
||||
|
||||
const PANIC_CAUGHT: &str = "Panic caught in merge thread";
|
||||
const NUM_MERGE_THREADS: usize = 4;
|
||||
|
||||
/// Save the index meta file.
|
||||
/// This operation is atomic:
|
||||
@@ -274,7 +273,6 @@ impl SegmentUpdater {
|
||||
index: Index,
|
||||
stamper: Stamper,
|
||||
delete_cursor: &DeleteCursor,
|
||||
num_merge_threads: usize,
|
||||
) -> crate::Result<SegmentUpdater> {
|
||||
let segments = index.searchable_segment_metas()?;
|
||||
let segment_manager = SegmentManager::from_segments(segments, delete_cursor);
|
||||
@@ -289,16 +287,7 @@ impl SegmentUpdater {
|
||||
})?;
|
||||
let merge_thread_pool = ThreadPoolBuilder::new()
|
||||
.thread_name(|i| format!("merge_thread_{i}"))
|
||||
.num_threads(num_merge_threads)
|
||||
.panic_handler(move |panic| {
|
||||
// We don't print the panic content itself,
|
||||
// it is already printed during the unwinding
|
||||
if let Some(message) = panic.downcast_ref::<&str>() {
|
||||
if *message != PANIC_CAUGHT {
|
||||
error!("uncaught merge panic")
|
||||
}
|
||||
}
|
||||
})
|
||||
.num_threads(NUM_MERGE_THREADS)
|
||||
.build()
|
||||
.map_err(|_| {
|
||||
crate::TantivyError::SystemError(
|
||||
@@ -501,7 +490,8 @@ impl SegmentUpdater {
|
||||
Ok(segment_entries) => segment_entries,
|
||||
Err(err) => {
|
||||
warn!(
|
||||
"Starting the merge failed for the following reason. This is not fatal. {err}"
|
||||
"Starting the merge failed for the following reason. This is not fatal. {}",
|
||||
err
|
||||
);
|
||||
return err.into();
|
||||
}
|
||||
@@ -517,34 +507,11 @@ impl SegmentUpdater {
|
||||
// Its lifetime is used to track how many merging thread are currently running,
|
||||
// as well as which segment is currently in merge and therefore should not be
|
||||
// candidate for another merge.
|
||||
let merge_panic_res = std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| {
|
||||
merge(
|
||||
&segment_updater.index,
|
||||
segment_entries,
|
||||
merge_operation.target_opstamp(),
|
||||
)
|
||||
}));
|
||||
let merge_res = match merge_panic_res {
|
||||
Ok(merge_res) => merge_res,
|
||||
Err(panic_err) => {
|
||||
let panic_str = if let Some(msg) = panic_err.downcast_ref::<&str>() {
|
||||
*msg
|
||||
} else if let Some(msg) = panic_err.downcast_ref::<String>() {
|
||||
msg.as_str()
|
||||
} else {
|
||||
"UNKNOWN"
|
||||
};
|
||||
let _send_result = merging_future_send.send(Err(TantivyError::SystemError(
|
||||
format!("Merge thread panicked: {panic_str}"),
|
||||
)));
|
||||
// Resume unwinding because we forced unwind safety with
|
||||
// `std::panic::AssertUnwindSafe` Use a specific message so
|
||||
// the panic_handler can double check that we properly caught the panic.
|
||||
let boxed_panic_message: Box<dyn Any + Send> = Box::new(PANIC_CAUGHT);
|
||||
std::panic::resume_unwind(boxed_panic_message);
|
||||
}
|
||||
};
|
||||
match merge_res {
|
||||
match merge(
|
||||
&segment_updater.index,
|
||||
segment_entries,
|
||||
merge_operation.target_opstamp(),
|
||||
) {
|
||||
Ok(after_merge_segment_entry) => {
|
||||
let res = segment_updater.end_merge(merge_operation, after_merge_segment_entry);
|
||||
let _send_result = merging_future_send.send(res);
|
||||
|
||||
@@ -422,7 +422,6 @@ mod tests {
|
||||
use std::collections::BTreeMap;
|
||||
use std::path::{Path, PathBuf};
|
||||
|
||||
use columnar::ColumnType;
|
||||
use tempfile::TempDir;
|
||||
|
||||
use crate::collector::{Count, TopDocs};
|
||||
@@ -432,15 +431,15 @@ mod tests {
|
||||
use crate::query::{PhraseQuery, QueryParser};
|
||||
use crate::schema::{
|
||||
Document, IndexRecordOption, OwnedValue, Schema, TextFieldIndexing, TextOptions, Value,
|
||||
DATE_TIME_PRECISION_INDEXED, FAST, STORED, STRING, TEXT,
|
||||
DATE_TIME_PRECISION_INDEXED, STORED, STRING, TEXT,
|
||||
};
|
||||
use crate::store::{Compressor, StoreReader, StoreWriter};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
use crate::time::OffsetDateTime;
|
||||
use crate::tokenizer::{PreTokenizedString, Token};
|
||||
use crate::{
|
||||
DateTime, Directory, DocAddress, DocSet, Index, IndexWriter, SegmentReader,
|
||||
TantivyDocument, Term, TERMINATED,
|
||||
DateTime, Directory, DocAddress, DocSet, Index, IndexWriter, TantivyDocument, Term,
|
||||
TERMINATED,
|
||||
};
|
||||
|
||||
#[test]
|
||||
@@ -842,75 +841,6 @@ mod tests {
|
||||
assert_eq!(searcher.search(&phrase_query, &Count).unwrap(), 0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_fast() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let json_field = schema_builder.add_json_field("json", FAST);
|
||||
let schema = schema_builder.build();
|
||||
let json_val: serde_json::Value = serde_json::from_str(
|
||||
r#"{
|
||||
"toto": "titi",
|
||||
"float": -0.2,
|
||||
"bool": true,
|
||||
"unsigned": 1,
|
||||
"signed": -2,
|
||||
"complexobject": {
|
||||
"field.with.dot": 1
|
||||
},
|
||||
"date": "1985-04-12T23:20:50.52Z",
|
||||
"my_arr": [2, 3, {"my_key": "two tokens"}, 4]
|
||||
}"#,
|
||||
)
|
||||
.unwrap();
|
||||
let doc = doc!(json_field=>json_val.clone());
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
let mut writer = index.writer_for_tests().unwrap();
|
||||
writer.add_document(doc).unwrap();
|
||||
writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
|
||||
fn assert_type(reader: &SegmentReader, field: &str, typ: ColumnType) {
|
||||
let cols = reader.fast_fields().dynamic_column_handles(field).unwrap();
|
||||
assert_eq!(cols.len(), 1, "{field}");
|
||||
assert_eq!(cols[0].column_type(), typ, "{field}");
|
||||
}
|
||||
assert_type(segment_reader, "json.toto", ColumnType::Str);
|
||||
assert_type(segment_reader, "json.float", ColumnType::F64);
|
||||
assert_type(segment_reader, "json.bool", ColumnType::Bool);
|
||||
assert_type(segment_reader, "json.unsigned", ColumnType::I64);
|
||||
assert_type(segment_reader, "json.signed", ColumnType::I64);
|
||||
assert_type(
|
||||
segment_reader,
|
||||
"json.complexobject.field\\.with\\.dot",
|
||||
ColumnType::I64,
|
||||
);
|
||||
assert_type(segment_reader, "json.date", ColumnType::DateTime);
|
||||
assert_type(segment_reader, "json.my_arr", ColumnType::I64);
|
||||
assert_type(segment_reader, "json.my_arr.my_key", ColumnType::Str);
|
||||
|
||||
fn assert_empty(reader: &SegmentReader, field: &str) {
|
||||
let cols = reader.fast_fields().dynamic_column_handles(field).unwrap();
|
||||
assert_eq!(cols.len(), 0);
|
||||
}
|
||||
assert_empty(segment_reader, "unknown");
|
||||
assert_empty(segment_reader, "json");
|
||||
assert_empty(segment_reader, "json.toto.titi");
|
||||
|
||||
let sub_columns = segment_reader
|
||||
.fast_fields()
|
||||
.dynamic_subpath_column_handles("json")
|
||||
.unwrap();
|
||||
assert_eq!(sub_columns.len(), 9);
|
||||
|
||||
let subsub_columns = segment_reader
|
||||
.fast_fields()
|
||||
.dynamic_subpath_column_handles("json.complexobject")
|
||||
.unwrap();
|
||||
assert_eq!(subsub_columns.len(), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_term_with_numeric_merge_panic_regression_bug_2283() {
|
||||
// https://github.com/quickwit-oss/tantivy/issues/2283
|
||||
|
||||
@@ -1,19 +1,79 @@
|
||||
use std::ops::Range;
|
||||
use std::sync::atomic::{AtomicU64, Ordering};
|
||||
use std::sync::atomic::Ordering;
|
||||
use std::sync::Arc;
|
||||
|
||||
use crate::Opstamp;
|
||||
|
||||
#[cfg(not(target_arch = "arm"))]
|
||||
mod atomic_impl {
|
||||
|
||||
use std::sync::atomic::{AtomicU64, Ordering};
|
||||
|
||||
use crate::Opstamp;
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct AtomicU64Wrapper(AtomicU64);
|
||||
|
||||
impl AtomicU64Wrapper {
|
||||
pub fn new(first_opstamp: Opstamp) -> AtomicU64Wrapper {
|
||||
AtomicU64Wrapper(AtomicU64::new(first_opstamp))
|
||||
}
|
||||
|
||||
pub fn fetch_add(&self, val: u64, order: Ordering) -> u64 {
|
||||
self.0.fetch_add(val, order)
|
||||
}
|
||||
|
||||
pub fn revert(&self, val: u64, order: Ordering) -> u64 {
|
||||
self.0.store(val, order);
|
||||
val
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(target_arch = "arm")]
|
||||
mod atomic_impl {
|
||||
|
||||
/// Under other architecture, we rely on a mutex.
|
||||
use std::sync::atomic::Ordering;
|
||||
use std::sync::RwLock;
|
||||
|
||||
use crate::Opstamp;
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct AtomicU64Wrapper(RwLock<u64>);
|
||||
|
||||
impl AtomicU64Wrapper {
|
||||
pub fn new(first_opstamp: Opstamp) -> AtomicU64Wrapper {
|
||||
AtomicU64Wrapper(RwLock::new(first_opstamp))
|
||||
}
|
||||
|
||||
pub fn fetch_add(&self, incr: u64, _order: Ordering) -> u64 {
|
||||
let mut lock = self.0.write().unwrap();
|
||||
let previous_val = *lock;
|
||||
*lock = previous_val + incr;
|
||||
previous_val
|
||||
}
|
||||
|
||||
pub fn revert(&self, val: u64, _order: Ordering) -> u64 {
|
||||
let mut lock = self.0.write().unwrap();
|
||||
*lock = val;
|
||||
val
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
use self::atomic_impl::AtomicU64Wrapper;
|
||||
|
||||
/// Stamper provides Opstamps, which is just an auto-increment id to label
|
||||
/// an operation.
|
||||
///
|
||||
/// Cloning does not "fork" the stamp generation. The stamper actually wraps an `Arc`.
|
||||
#[derive(Clone, Default)]
|
||||
pub struct Stamper(Arc<AtomicU64>);
|
||||
pub struct Stamper(Arc<AtomicU64Wrapper>);
|
||||
|
||||
impl Stamper {
|
||||
pub fn new(first_opstamp: Opstamp) -> Stamper {
|
||||
Stamper(Arc::new(AtomicU64::new(first_opstamp)))
|
||||
Stamper(Arc::new(AtomicU64Wrapper::new(first_opstamp)))
|
||||
}
|
||||
|
||||
pub fn stamp(&self) -> Opstamp {
|
||||
@@ -32,8 +92,7 @@ impl Stamper {
|
||||
|
||||
/// Reverts the stamper to a given `Opstamp` value and returns it
|
||||
pub fn revert(&self, to_opstamp: Opstamp) -> Opstamp {
|
||||
self.0.store(to_opstamp, Ordering::SeqCst);
|
||||
to_opstamp
|
||||
self.0.revert(to_opstamp, Ordering::SeqCst)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
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Reference in New Issue
Block a user