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53 Commits

Author SHA1 Message Date
trinity-1686a
45dbc46ef1 add conversion for f32 and fixed precision number 2022-10-05 18:01:26 +02:00
Bruce Mitchener
c2f1c250f9 doc: Remove reference to Searcher pool. (#1598)
The pool of searchers was removed in 23fe73a6 as part of #1411.
2022-10-06 00:04:11 +09:00
PSeitz
2063f1717f Merge pull request #1591 from quickwit-oss/ff_refact
disable linear codec for multivalue values
2022-10-05 19:39:36 +08:00
Pascal Seitz
d742275048 renames 2022-10-05 19:16:49 +08:00
PSeitz
b9f06bc287 Update src/fastfield/multivalued/mod.rs
Co-authored-by: Paul Masurel <paul@quickwit.io>
2022-10-05 19:09:19 +08:00
Pascal Seitz
8b42c4c126 disable linear codec for multivalue value index
don't materialize index column on merge
use simpler chain() variant
2022-10-05 19:09:17 +08:00
PSeitz
7905965800 Merge pull request #1594 from quickwit-oss/flat_map_with_buffer
Removing alloc on all .next() in MultiValueColumn
2022-10-05 18:34:15 +08:00
Pascal Seitz
f60a551890 add flat_map_with_buffer to Iterator trait 2022-10-05 17:44:26 +08:00
Paul Masurel
7baa6e3ec5 Removing alloc on all .next() in MultiValueColumn 2022-10-05 17:12:06 +09:00
PSeitz
2100ec5d26 Merge pull request #1593 from waywardmonkeys/doc-improvements
Documentation improvements.
2022-10-05 15:50:08 +08:00
Bruce Mitchener
b3bf9a5716 Documentation improvements. 2022-10-05 14:18:10 +07:00
Paul Masurel
0dc8c458e0 Flaky unit test. (#1592) 2022-10-05 16:15:48 +09:00
trinity-1686a
5945dbf0bd change format for store to make it faster with small documents (#1569)
* use new format for docstore blocks

* move index to end of block

it makes writing the block faster due to one less memcopy
2022-10-04 09:58:55 +02:00
PSeitz
4cf911d56a Merge pull request #1587 from quickwit-oss/no_get_val_in_serialize
remove get_val in serialization
2022-10-04 12:56:48 +08:00
Pascal Seitz
0f5cff762f move enumerate and remove computation 2022-10-04 12:30:19 +08:00
Pascal Seitz
6d9a123cf2 remove get_val in serialization
remove get_val in serialization and mark as unimplemented!()
replace get_val with iter in linear codec
remove MultivalueStartIndexRandomSeeker
replace MultivalueStartIndexIter with closure
Sample 100 values in linear codec
2022-10-04 12:01:25 +08:00
PSeitz
0f4a47816a Merge pull request #1582 from quickwit-oss/faster_sorted_field_values
use groupby instead of vec allocation
2022-10-04 09:36:24 +08:00
Pascal Seitz
b062ab2196 use groupby instead of vec allocation 2022-10-04 09:26:26 +08:00
Bruce Mitchener
a9d2f3db23 Tantivy requires Rust 1.62 or later. (#1583)
Tantivy needs the `total_cmp` feature to compile, which was stabilized
in Rust 1.62.
2022-10-03 18:31:07 +09:00
Bruce Mitchener
44e03791f9 Fix warnings when doc'ing private items. (#1579)
This also fixes a couple of typos, but plenty remain!
2022-10-03 14:24:00 +09:00
Bruce Mitchener
2d23763e9f Use u64::from boolean more. (#1580)
This case is inverted from the previous cases fixed.

This is from nightly clippy.
2022-10-03 14:17:50 +09:00
Bruce Mitchener
a24ae8d924 clippy: Fix needless-borrow warnings. (#1581)
These show on nightly clippy.
2022-10-03 14:15:09 +09:00
PSeitz
927dff5262 Merge pull request #1578 from quickwit-oss/dead_code
remove dead indexing code
2022-10-03 11:25:10 +08:00
Pascal Seitz
a695edcc95 remove dead indexing code 2022-10-03 09:44:02 +08:00
Paul Masurel
b4b4f3fa73 Removing default features for zstd (#1574) 2022-09-30 13:02:46 +09:00
PSeitz
b50e4b7c20 Merge pull request #1566 from quickwit-oss/fix_docstore_sorting
fix docstore settings for temp docstore
2022-09-30 10:10:36 +08:00
PSeitz
f8686ab1ec improve comments
Co-authored-by: Paul Masurel <paul@quickwit.io>
2022-09-30 10:06:34 +08:00
PSeitz
2fe42719d8 Merge pull request #1570 from quickwit-oss/no_sort_on_multi
validate index settings on create
2022-09-30 09:17:03 +08:00
PSeitz
fadd784a25 log improvements (#1564) 2022-09-30 09:39:26 +09:00
Pascal Seitz
0e94213af0 validate index settings on create 2022-09-29 18:58:09 +08:00
PSeitz
0da2a2e70d Merge pull request #1567 from quickwit-oss/dependabot/cargo/tantivy-fst-0.4.0
Update tantivy-fst requirement from 0.3.0 to 0.4.0
2022-09-29 10:00:16 +08:00
dependabot[bot]
0bcdf3cbbf Update tantivy-fst requirement from 0.3.0 to 0.4.0
Updates the requirements on [tantivy-fst](https://github.com/tantivy-search/fst) to permit the latest version.
- [Release notes](https://github.com/tantivy-search/fst/releases)
- [Commits](https://github.com/tantivy-search/fst/commits)

---
updated-dependencies:
- dependency-name: tantivy-fst
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
2022-09-28 20:50:43 +00:00
Pascal Seitz
8f647b817f fix docstore settings for temp docstore
fixes #1565
2022-09-28 17:53:59 +08:00
trinity-1686a
a86b0df6f4 Add query matching terms in a set (#1539) 2022-09-28 09:43:18 +02:00
Bruce Mitchener
f842da758c Move ArcBytes,WeakArcBytes to mmap_directory. (#1555)
When building without default features (so without mmap, etc),
there are some warnings about unused things. This fixes the
ones related to `ArcBytes` and `WeakArcBytes`, which are only
used with the `mmap_directory` code.
2022-09-27 09:57:28 +09:00
Bruce Mitchener
97ccd6d712 Avoid slicing a string in DocParsingError. (#1559)
Fixes #1339.
2022-09-26 20:27:15 +09:00
Bruce Mitchener
cb252a42af docs: "associated to" -> "associated with" (#1557)
This reads better this way.
2022-09-26 20:23:37 +09:00
Bruce Mitchener
d9609dd6b6 POLLING_INTERVAL needn't be pub. (#1556)
This is only used within the file watcher and is const, so it
can't be configured.
2022-09-26 20:22:55 +09:00
Bruce Mitchener
f03667d967 Remove references to /cpp directory. (#1560)
This was removed in 2018, so these should be fine to remove now.
2022-09-26 20:22:28 +09:00
PSeitz
10f10a322f Merge pull request #1554 from quickwit-oss/prepare_ip_field
prepare for ip field
2022-09-26 16:34:24 +08:00
Pascal Seitz
f757471077 prepare for ip field 2022-09-26 16:27:35 +08:00
PSeitz
21e0adefda use binary search instead of linear for get_val in merge (#1548)
* use binary search instead of linear for get_val in merge

* use partition_point
2022-09-26 09:42:33 +09:00
Bruce Mitchener
ea8e6d7b1d Tidy up clippy config. (#1547)
* Checking cfg_attr is no longer necessary.
* Don't need multiple `clippy::` prefixes on a name.
2022-09-26 09:37:55 +09:00
PSeitz
dac7da780e Merge pull request #1545 from waywardmonkeys/remove-some-refs
clippy: Remove borrows that the compiler will do.
2022-09-23 15:33:23 +08:00
PSeitz
20c87903b2 fix multivalue ff index creation regression (#1543)
fixes multivalue ff regression by avoiding using `get_val`. Line::train calls repeatedly get_val, but get_val implementation on Column for multivalues is very slow. The fix is to use the iterator instead. Longterm fix should be to remove get_val access in serialization.

Old Code

test fastfield::bench::bench_multi_value_ff_merge_few_segments                                                           ... bench:  46,103,960 ns/iter (+/- 2,066,083)
test fastfield::bench::bench_multi_value_ff_merge_many_segments                                                          ... bench:  83,073,036 ns/iter (+/- 4,373,615)
est fastfield::bench::bench_multi_value_ff_merge_many_segments_log_merge                                                ... bench:  64,178,576 ns/iter (+/- 1,466,700)

Current

running 3 tests
test fastfield::multivalued::bench::bench_multi_value_ff_merge_few_segments                                              ... bench:  57,379,523 ns/iter (+/- 3,220,787)
test fastfield::multivalued::bench::bench_multi_value_ff_merge_many_segments                                             ... bench:  90,831,688 ns/iter (+/- 1,445,486)
test fastfield::multivalued::bench::bench_multi_value_ff_merge_many_segments_log_merge                                   ... bench: 158,313,264 ns/iter (+/- 28,823,250)

With Fix

running 3 tests
test fastfield::multivalued::bench::bench_multi_value_ff_merge_few_segments                                              ... bench:  57,635,671 ns/iter (+/- 2,707,361)
test fastfield::multivalued::bench::bench_multi_value_ff_merge_many_segments                                             ... bench:  91,468,712 ns/iter (+/- 11,393,581)
test fastfield::multivalued::bench::bench_multi_value_ff_merge_many_segments_log_merge                                   ... bench:  73,909,138 ns/iter (+/- 15,846,097)
2022-09-23 15:36:29 +09:00
PSeitz
f9c3947803 Merge pull request #1546 from waywardmonkeys/use-ux-from-bool
Use u8::from(bool), u64::from(bool).
2022-09-23 09:06:24 +08:00
Bruce Mitchener
e9a384bb15 Use u8::from(bool), u64::from(bool). 2022-09-22 22:44:53 +07:00
Bruce Mitchener
d231671fe2 clippy: Remove borrows that the compiler will do.
This started showing up with clippy in rust 1.64.
2022-09-22 22:38:23 +07:00
trinity-1686a
fa3d786a2f Add support for deleting all documents matching query (#1535)
* add support for deleting all documents matching query

#1494
2022-09-22 21:26:09 +09:00
Paul Masurel
75aafeeb9b Added a function to deep clone RamDirectory. (#1544) 2022-09-22 12:04:02 +02:00
PSeitz
6f066c7f65 Merge pull request #1541 from quickwit-oss/add_bench
add benchmarks for multivalued fastfield merge
2022-09-22 15:28:00 +08:00
Pascal Seitz
22e56aaee3 add benchmarks for multivalued fastfield merge 2022-09-22 11:25:41 +08:00
Paul Masurel
d641979127 Minor refactor of fast fields (#1538) 2022-09-21 12:55:03 +09:00
105 changed files with 1645 additions and 762 deletions

1
.gitattributes vendored
View File

@@ -1 +0,0 @@
cpp/* linguist-vendored

1
.gitignore vendored
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@@ -9,7 +9,6 @@ target/release
Cargo.lock
benchmark
.DS_Store
cpp/simdcomp/bitpackingbenchmark
*.bk
.idea
trace.dat

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@@ -11,6 +11,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
readme = "README.md"
keywords = ["search", "information", "retrieval"]
edition = "2021"
rust-version = "1.62"
[dependencies]
oneshot = "0.1.3"
@@ -19,11 +20,11 @@ byteorder = "1.4.3"
crc32fast = "1.3.2"
once_cell = "1.10.0"
regex = { version = "1.5.5", default-features = false, features = ["std", "unicode"] }
tantivy-fst = "0.3.0"
tantivy-fst = "0.4.0"
memmap2 = { version = "0.5.3", optional = true }
lz4_flex = { version = "0.9.2", default-features = false, features = ["checked-decode"], optional = true }
brotli = { version = "3.3.4", optional = true }
zstd = { version = "0.11", optional = true }
zstd = { version = "0.11", optional = true, default-features = false }
snap = { version = "1.0.5", optional = true }
tempfile = { version = "3.3.0", optional = true }
log = "0.4.16"

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@@ -58,7 +58,7 @@ Distributed search is out of the scope of Tantivy, but if you are looking for th
# Getting started
Tantivy works on stable Rust (>= 1.27) and supports Linux, macOS, and Windows.
Tantivy works on stable Rust and supports Linux, macOS, and Windows.
- [Tantivy's simple search example](https://tantivy-search.github.io/examples/basic_search.html)
- [tantivy-cli and its tutorial](https://github.com/quickwit-oss/tantivy-cli) - `tantivy-cli` is an actual command-line interface that makes it easy for you to create a search engine,
@@ -81,9 +81,13 @@ There are many ways to support this project.
We use the GitHub Pull Request workflow: reference a GitHub ticket and/or include a comprehensive commit message when opening a PR.
## Minimum supported Rust version
Tantivy currently requires at least Rust 1.62 or later to compile.
## Clone and build locally
Tantivy compiles on stable Rust but requires `Rust >= 1.27`.
Tantivy compiles on stable Rust.
To check out and run tests, you can simply run:
```bash

View File

@@ -259,11 +259,7 @@ impl BitSet {
// we do not check saturated els.
let higher = el / 64u32;
let lower = el % 64u32;
self.len += if self.tinysets[higher as usize].insert_mut(lower) {
1
} else {
0
};
self.len += u64::from(self.tinysets[higher as usize].insert_mut(lower));
}
/// Inserts an element in the `BitSet`
@@ -272,11 +268,7 @@ impl BitSet {
// we do not check saturated els.
let higher = el / 64u32;
let lower = el % 64u32;
self.len -= if self.tinysets[higher as usize].remove_mut(lower) {
1
} else {
0
};
self.len -= u64::from(self.tinysets[higher as usize].remove_mut(lower));
}
/// Returns true iff the elements is in the `BitSet`.
@@ -285,7 +277,7 @@ impl BitSet {
self.tinyset(el / 64u32).contains(el % 64)
}
/// Returns the first non-empty `TinySet` associated to a bucket lower
/// Returns the first non-empty `TinySet` associated with a bucket lower
/// or greater than bucket.
///
/// Reminder: the tiny set with the bucket `bucket`, represents the

View File

@@ -34,7 +34,8 @@ impl<T: Deref<Target = [u8]>> HasLen for T {
}
}
const HIGHEST_BIT: u64 = 1 << 63;
const HIGHEST_BIT_64: u64 = 1 << 63;
const HIGHEST_BIT_32: u32 = 1 << 31;
/// Maps a `i64` to `u64`
///
@@ -58,13 +59,13 @@ const HIGHEST_BIT: u64 = 1 << 63;
/// The reverse mapping is [`u64_to_i64()`].
#[inline]
pub fn i64_to_u64(val: i64) -> u64 {
(val as u64) ^ HIGHEST_BIT
(val as u64) ^ HIGHEST_BIT_64
}
/// Reverse the mapping given by [`i64_to_u64()`].
#[inline]
pub fn u64_to_i64(val: u64) -> i64 {
(val ^ HIGHEST_BIT) as i64
(val ^ HIGHEST_BIT_64) as i64
}
/// Maps a `f64` to `u64`
@@ -88,7 +89,7 @@ pub fn u64_to_i64(val: u64) -> i64 {
pub fn f64_to_u64(val: f64) -> u64 {
let bits = val.to_bits();
if val.is_sign_positive() {
bits ^ HIGHEST_BIT
bits ^ HIGHEST_BIT_64
} else {
!bits
}
@@ -97,26 +98,148 @@ pub fn f64_to_u64(val: f64) -> u64 {
/// Reverse the mapping given by [`f64_to_u64()`].
#[inline]
pub fn u64_to_f64(val: u64) -> f64 {
f64::from_bits(if val & HIGHEST_BIT != 0 {
val ^ HIGHEST_BIT
f64::from_bits(if val & HIGHEST_BIT_64 != 0 {
val ^ HIGHEST_BIT_64
} else {
!val
})
}
/// Maps a `f32` to `u64`
///
/// # See also
/// Similar mapping for f64 [`u64_to_f64()`].
#[inline]
pub fn f32_to_u64(val: f32) -> u64 {
let bits = val.to_bits();
let res32 = if val.is_sign_positive() {
bits ^ HIGHEST_BIT_32
} else {
!bits
};
res32 as u64
}
/// Reverse the mapping given by [`f32_to_u64()`].
#[inline]
pub fn u64_to_f32(val: u64) -> f32 {
debug_assert!(val <= 1 << 32);
let val = val as u32;
f32::from_bits(if val & HIGHEST_BIT_32 != 0 {
val ^ HIGHEST_BIT_32
} else {
!val
})
}
/// Maps a `f64` to a fixed point representation.
/// Lower bound is inclusive, upper bound is exclusive.
/// `precision` is the number of bits used to represent the number.
///
/// This is a lossy, affine transformation. All provided values must be finite and non-NaN.
/// Care should be taken to not provide values which would cause loss of precision such as values
/// low enough to get sub-normal numbers, value high enough rounding would cause ±Inf to appear, or
/// a precision larger than 50b.
///
/// # See also
/// The reverse mapping is [`fixed_point_to_f64()`].
#[inline]
pub fn f64_to_fixed_point(val: f64, min: f64, max: f64, precision: u8) -> u64 {
debug_assert!((1..53).contains(&precision));
debug_assert!(min < max);
let delta = max - min;
let mult = (1u64 << precision) as f64;
let bucket_size = delta / mult;
let upper_bound = f64_next_down(max).min(max - bucket_size);
// due to different cases of rounding error, we need to enforce upper_bound to be
// max-bucket_size, but also that upper_bound < max, which is not given for small enough
// bucket_size.
let val = val.clamp(min, upper_bound);
let res = (val - min) / bucket_size;
if res.fract() == 0.5 {
res as u64
} else {
// round down when getting x.5
res.round() as u64
}
}
/// Reverse the mapping given by [`f64_to_fixed_point()`].
#[inline]
pub fn fixed_point_to_f64(val: u64, min: f64, max: f64, precision: u8) -> f64 {
let delta = max - min;
let mult = (1u64 << precision) as f64;
let bucket_size = delta / mult;
bucket_size.mul_add(val as f64, min)
}
// taken from rfc/3173-float-next-up-down, commented out part about nan in infinity as it is not
// needed.
fn f64_next_down(this: f64) -> f64 {
const NEG_TINY_BITS: u64 = 0x8000_0000_0000_0001;
const CLEAR_SIGN_MASK: u64 = 0x7fff_ffff_ffff_ffff;
let bits = this.to_bits();
// if this.is_nan() || bits == f64::NEG_INFINITY.to_bits() {
// return this;
// }
let abs = bits & CLEAR_SIGN_MASK;
let next_bits = if abs == 0 {
NEG_TINY_BITS
} else if bits == abs {
bits - 1
} else {
bits + 1
};
f64::from_bits(next_bits)
}
#[cfg(test)]
pub mod test {
use std::cmp::Ordering;
use proptest::prelude::*;
use super::{f64_to_u64, i64_to_u64, u64_to_f64, u64_to_i64, BinarySerializable, FixedSize};
use super::{
f32_to_u64, f64_to_fixed_point, f64_to_u64, fixed_point_to_f64, i64_to_u64, u64_to_f32,
u64_to_f64, u64_to_i64, BinarySerializable, FixedSize,
};
fn test_i64_converter_helper(val: i64) {
assert_eq!(u64_to_i64(i64_to_u64(val)), val);
}
fn test_f64_converter_helper(val: f64) {
assert_eq!(u64_to_f64(f64_to_u64(val)), val);
assert_eq!(u64_to_f64(f64_to_u64(val)).total_cmp(&val), Ordering::Equal);
}
fn test_f32_converter_helper(val: f32) {
assert_eq!(u64_to_f32(f32_to_u64(val)).total_cmp(&val), Ordering::Equal);
}
fn test_fixed_point_converter_helper(val: f64, min: f64, max: f64, precision: u8) {
let bucket_count = 1 << precision;
let packed = f64_to_fixed_point(val, min, max, precision);
assert!(packed < bucket_count, "used to much bits");
let depacked = fixed_point_to_f64(packed, min, max, precision);
let repacked = f64_to_fixed_point(depacked, min, max, precision);
assert_eq!(packed, repacked, "generational loss");
let error = (val.clamp(min, crate::f64_next_down(max)) - depacked).abs();
let expected = (max - min) / (bucket_count as f64);
assert!(
error <= (max - min) / (bucket_count as f64) * 2.0,
"error larger than expected"
);
}
pub fn fixed_size_test<O: BinarySerializable + FixedSize + Default>() {
@@ -125,12 +248,75 @@ pub mod test {
assert_eq!(buffer.len(), O::SIZE_IN_BYTES);
}
fn fixed_point_bound() -> proptest::num::f64::Any {
proptest::num::f64::POSITIVE
| proptest::num::f64::NEGATIVE
| proptest::num::f64::NORMAL
| proptest::num::f64::ZERO
}
proptest! {
#[test]
fn test_f64_converter_monotonicity_proptest((left, right) in (proptest::num::f64::NORMAL, proptest::num::f64::NORMAL)) {
fn test_f64_converter_monotonicity_proptest((left, right) in (proptest::num::f64::ANY, proptest::num::f64::ANY)) {
test_f64_converter_helper(left);
test_f64_converter_helper(right);
let left_u64 = f64_to_u64(left);
let right_u64 = f64_to_u64(right);
assert_eq!(left_u64 < right_u64, left < right);
assert_eq!(left_u64.cmp(&right_u64), left.total_cmp(&right));
}
#[test]
fn test_f32_converter_monotonicity_proptest((left, right) in (proptest::num::f32::ANY, proptest::num::f32::ANY)) {
test_f32_converter_helper(left);
test_f32_converter_helper(right);
let left_u64 = f32_to_u64(left);
let right_u64 = f32_to_u64(right);
assert_eq!(left_u64.cmp(&right_u64), left.total_cmp(&right));
}
#[test]
fn test_fixed_point_converter_proptest((left, right, min, max, precision) in
(fixed_point_bound(), fixed_point_bound(),
fixed_point_bound(), fixed_point_bound(),
proptest::num::u8::ANY)) {
// convert so all input are legal
let (min, max) = if min < max {
(min, max)
} else if min > max {
(max, min)
} else {
return Ok(()); // equals
};
if 1 > precision || precision >= 50 {
return Ok(());
}
let max_full_precision = 53.0 - precision as f64;
if (max / min).abs().log2().abs() > max_full_precision {
return Ok(());
}
// we will go in subnormal territories => loss of precision
if (((max - min).log2() - precision as f64) as i32) < f64::MIN_EXP {
return Ok(());
}
if (max - min).is_infinite() {
return Ok(());
}
test_fixed_point_converter_helper(left, min, max, precision);
test_fixed_point_converter_helper(right, min, max, precision);
let left_u64 = f64_to_fixed_point(left, min, max, precision);
let right_u64 = f64_to_fixed_point(right, min, max, precision);
if left < right {
assert!(left_u64 <= right_u64);
} else if left > right {
assert!(left_u64 >= right_u64)
}
}
}
@@ -168,4 +354,27 @@ pub mod test {
assert!(f64_to_u64(-2.0) < f64_to_u64(1.0));
assert!(f64_to_u64(-2.0) < f64_to_u64(-1.5));
}
#[test]
fn test_f32_converter() {
test_f32_converter_helper(f32::INFINITY);
test_f32_converter_helper(f32::NEG_INFINITY);
test_f32_converter_helper(0.0);
test_f32_converter_helper(-0.0);
test_f32_converter_helper(1.0);
test_f32_converter_helper(-1.0);
}
#[test]
fn test_f32_order() {
assert!(!(f32_to_u64(f32::NEG_INFINITY)..f32_to_u64(f32::INFINITY))
.contains(&f32_to_u64(f32::NAN))); // nan is not a number
assert!(f32_to_u64(1.5) > f32_to_u64(1.0)); // same exponent, different mantissa
assert!(f32_to_u64(2.0) > f32_to_u64(1.0)); // same mantissa, different exponent
assert!(f32_to_u64(2.0) > f32_to_u64(1.5)); // different exponent and mantissa
assert!(f32_to_u64(1.0) > f32_to_u64(-1.0)); // pos > neg
assert!(f32_to_u64(-1.5) < f32_to_u64(-1.0));
assert!(f32_to_u64(-2.0) < f32_to_u64(1.0));
assert!(f32_to_u64(-2.0) < f32_to_u64(-1.5));
}
}

View File

@@ -161,8 +161,7 @@ impl FixedSize for u8 {
impl BinarySerializable for bool {
fn serialize<W: Write>(&self, writer: &mut W) -> io::Result<()> {
let val = if *self { 1 } else { 0 };
writer.write_u8(val)
writer.write_u8(u8::from(*self))
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<bool> {
let val = reader.read_u8()?;

View File

@@ -50,7 +50,7 @@ to get tantivy to fit your use case:
*Example 1* You could for instance use hadoop to build a very large search index in a timely manner, copy all of the resulting segment files in the same directory and edit the `meta.json` to get a functional index.[^2]
*Example 2* You could also disable your merge policy and enforce daily segments. Removing data after one week can then be done very efficiently by just editing the `meta.json` and deleting the files associated to segment `D-7`.
*Example 2* You could also disable your merge policy and enforce daily segments. Removing data after one week can then be done very efficiently by just editing the `meta.json` and deleting the files associated with segment `D-7`.
## Merging

View File

@@ -113,7 +113,7 @@ fn main() -> tantivy::Result<()> {
// on its id.
//
// Note that `tantivy` does nothing to enforce the idea that
// there is only one document associated to this id.
// there is only one document associated with this id.
//
// Also you might have noticed that we apply the delete before
// having committed. This does not matter really...

View File

@@ -44,7 +44,7 @@ fn main() -> tantivy::Result<()> {
// A segment contains different data structure.
// Inverted index stands for the combination of
// - the term dictionary
// - the inverted lists associated to each terms and their positions
// - the inverted lists associated with each terms and their positions
let inverted_index = segment_reader.inverted_index(title)?;
// A `Term` is a text token associated with a field.
@@ -105,7 +105,7 @@ fn main() -> tantivy::Result<()> {
// A segment contains different data structure.
// Inverted index stands for the combination of
// - the term dictionary
// - the inverted lists associated to each terms and their positions
// - the inverted lists associated with each terms and their positions
let inverted_index = segment_reader.inverted_index(title)?;
// This segment posting object is like a cursor over the documents matching the term.

View File

@@ -75,7 +75,7 @@ impl FastFieldCodec for BitpackedCodec {
Ok(())
}
fn estimate(column: &impl Column) -> Option<f32> {
fn estimate(column: &dyn Column) -> Option<f32> {
let num_bits = compute_num_bits(column.max_value());
let num_bits_uncompressed = 64;
Some(num_bits as f32 / num_bits_uncompressed as f32)

View File

@@ -71,7 +71,7 @@ impl FastFieldCodec for BlockwiseLinearCodec {
}
// Estimate first_chunk and extrapolate
fn estimate(column: &impl crate::Column) -> Option<f32> {
fn estimate(column: &dyn crate::Column) -> Option<f32> {
if column.num_vals() < 10 * CHUNK_SIZE as u64 {
return None;
}
@@ -100,7 +100,7 @@ impl FastFieldCodec for BlockwiseLinearCodec {
Some(num_bits as f32 / num_bits_uncompressed as f32)
}
fn serialize(column: &dyn crate::Column, wrt: &mut impl io::Write) -> io::Result<()> {
fn serialize(column: &dyn Column, wrt: &mut impl io::Write) -> io::Result<()> {
// The BitpackedReader assumes a normalized vector.
assert_eq!(column.min_value(), 0);
let mut buffer = Vec::with_capacity(CHUNK_SIZE);

View File

@@ -4,20 +4,13 @@ use std::ops::RangeInclusive;
use tantivy_bitpacker::minmax;
pub trait Column<T: PartialOrd = u64>: Send + Sync {
/// Return a `ColumnReader`.
fn reader(&self) -> Box<dyn ColumnReader<T> + '_> {
Box::new(ColumnReaderAdapter { column: self })
}
/// Return the value associated to the given idx.
/// Return the value associated with the given idx.
///
/// This accessor should return as fast as possible.
///
/// # Panics
///
/// May panic if `idx` is greater than the column length.
///
/// TODO remove to force people to use `.reader()`.
fn get_val(&self, idx: u64) -> T;
/// Fills an output buffer with the fast field values
@@ -67,40 +60,11 @@ pub trait Column<T: PartialOrd = u64>: Send + Sync {
fn num_vals(&self) -> u64;
/// Returns a iterator over the data
///
/// TODO get rid of `.iter()` and extend ColumnReader instead.
fn iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = T> + 'a> {
Box::new((0..self.num_vals()).map(|idx| self.get_val(idx)))
}
}
/// `ColumnReader` makes it possible to read forward through a column.
///
/// TODO add methods to make it possible to scan the column and replace `.iter()`
pub trait ColumnReader<T = u64> {
fn seek(&mut self, idx: u64) -> T;
}
pub(crate) struct ColumnReaderAdapter<'a, C: ?Sized> {
column: &'a C,
}
impl<'a, C: ?Sized> From<&'a C> for ColumnReaderAdapter<'a, C> {
fn from(column: &'a C) -> Self {
ColumnReaderAdapter { column }
}
}
impl<'a, T, C: ?Sized> ColumnReader<T> for ColumnReaderAdapter<'a, C>
where
C: Column<T>,
T: PartialOrd<T>,
{
fn seek(&mut self, idx: u64) -> T {
self.column.get_val(idx)
}
}
pub struct VecColumn<'a, T = u64> {
values: &'a [T],
min_value: T,
@@ -124,11 +88,7 @@ impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
(*self).num_vals()
}
fn reader(&self) -> Box<dyn ColumnReader<T> + '_> {
(*self).reader()
}
fn iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
fn iter<'b>(&'b self) -> Box<dyn Iterator<Item = T> + 'b> {
(*self).iter()
}
@@ -233,36 +193,10 @@ where
Box::new(self.from_column.iter().map(&self.monotonic_mapping))
}
fn reader(&self) -> Box<dyn ColumnReader<Output> + '_> {
Box::new(MonotonicMappingColumnReader {
col_reader: ColumnReaderAdapter::from(&self.from_column),
monotonic_mapping: &self.monotonic_mapping,
intermdiary_type: PhantomData,
})
}
// We voluntarily do not implement get_range as it yields a regression,
// and we do not have any specialized implementation anyway.
}
struct MonotonicMappingColumnReader<'a, ColR, Transform, U> {
col_reader: ColR,
monotonic_mapping: &'a Transform,
intermdiary_type: PhantomData<U>,
}
impl<'a, U, V, ColR, Transform> ColumnReader<V>
for MonotonicMappingColumnReader<'a, ColR, Transform, U>
where
ColR: ColumnReader<U> + 'a,
Transform: Fn(U) -> V,
{
fn seek(&mut self, idx: u64) -> V {
let intermediary_value = self.col_reader.seek(idx);
(*self.monotonic_mapping)(intermediary_value)
}
}
pub struct IterColumn<T>(T);
impl<T> From<T> for IterColumn<T>

View File

@@ -29,7 +29,7 @@ mod serialize;
use self::bitpacked::BitpackedCodec;
use self::blockwise_linear::BlockwiseLinearCodec;
pub use self::column::{monotonic_map_column, Column, ColumnReader, VecColumn};
pub use self::column::{monotonic_map_column, Column, VecColumn};
use self::linear::LinearCodec;
pub use self::monotonic_mapping::MonotonicallyMappableToU64;
pub use self::serialize::{
@@ -123,7 +123,7 @@ trait FastFieldCodec: 'static {
///
/// The column iterator should be preferred over using column `get_val` method for
/// performance reasons.
fn serialize(column: &dyn Column<u64>, write: &mut impl Write) -> io::Result<()>;
fn serialize(column: &dyn Column, write: &mut impl Write) -> io::Result<()>;
/// Returns an estimate of the compression ratio.
/// If the codec is not applicable, returns `None`.
@@ -132,7 +132,7 @@ trait FastFieldCodec: 'static {
///
/// It could make sense to also return a value representing
/// computational complexity.
fn estimate(column: &impl Column) -> Option<f32>;
fn estimate(column: &dyn Column) -> Option<f32>;
}
pub const ALL_CODEC_TYPES: [FastFieldCodecType; 3] = [
@@ -312,7 +312,7 @@ mod tests {
#[test]
fn estimation_test_bad_interpolation_case_monotonically_increasing() {
let mut data: Vec<u64> = (200..=20000_u64).collect();
let mut data: Vec<u64> = (201..=20000_u64).collect();
data.push(1_000_000);
let data: VecColumn = data.as_slice().into();

View File

@@ -68,24 +68,37 @@ impl Line {
}
// Same as train, but the intercept is only estimated from provided sample positions
pub fn estimate(ys: &dyn Column, sample_positions: &[u64]) -> Self {
Self::train_from(ys, sample_positions.iter().cloned())
pub fn estimate(sample_positions_and_values: &[(u64, u64)]) -> Self {
let first_val = sample_positions_and_values[0].1;
let last_val = sample_positions_and_values[sample_positions_and_values.len() - 1].1;
let num_vals = sample_positions_and_values[sample_positions_and_values.len() - 1].0 + 1;
Self::train_from(
first_val,
last_val,
num_vals,
sample_positions_and_values.iter().cloned(),
)
}
// Intercept is only computed from provided positions
fn train_from(ys: &dyn Column, positions: impl Iterator<Item = u64>) -> Self {
let last_idx = if let Some(last_idx) = NonZeroU64::new(ys.num_vals() - 1) {
last_idx
fn train_from(
first_val: u64,
last_val: u64,
num_vals: u64,
positions_and_values: impl Iterator<Item = (u64, u64)>,
) -> Self {
// TODO replace with let else
let idx_last_val = if let Some(idx_last_val) = NonZeroU64::new(num_vals - 1) {
idx_last_val
} else {
return Line::default();
};
let mut ys_reader = ys.reader();
let y0 = ys_reader.seek(0);
let y1 = ys_reader.seek(last_idx.get());
let y0 = first_val;
let y1 = last_val;
// We first independently pick our slope.
let slope = compute_slope(y0, y1, last_idx);
let slope = compute_slope(y0, y1, idx_last_val);
// We picked our slope. Note that it does not have to be perfect.
// Now we need to compute the best intercept.
@@ -115,12 +128,8 @@ impl Line {
intercept: 0,
};
let heuristic_shift = y0.wrapping_sub(MID_POINT);
let mut ys_reader = ys.reader();
line.intercept = positions
.map(|pos| {
let y = ys_reader.seek(pos);
y.wrapping_sub(line.eval(pos))
})
line.intercept = positions_and_values
.map(|(pos, y)| y.wrapping_sub(line.eval(pos)))
.min_by_key(|&val| val.wrapping_sub(heuristic_shift))
.unwrap_or(0u64); //< Never happens.
line
@@ -137,7 +146,14 @@ impl Line {
/// This function is only invariable by translation if all of the
/// `ys` are packaged into half of the space. (See heuristic below)
pub fn train(ys: &dyn Column) -> Self {
Self::train_from(ys, 0..ys.num_vals())
let first_val = ys.iter().next().unwrap();
let last_val = ys.iter().nth(ys.num_vals() as usize - 1).unwrap();
Self::train_from(
first_val,
last_val,
ys.num_vals(),
ys.iter().enumerate().map(|(pos, val)| (pos as u64, val)),
)
}
}

View File

@@ -121,24 +121,25 @@ impl FastFieldCodec for LinearCodec {
/// where the local maxima for the deviation of the calculated value are and
/// the offset to shift all values to >=0 is also unknown.
#[allow(clippy::question_mark)]
fn estimate(column: &impl Column) -> Option<f32> {
fn estimate(column: &dyn Column) -> Option<f32> {
if column.num_vals() < 3 {
return None; // disable compressor for this case
}
// let's sample at 0%, 5%, 10% .. 95%, 100%
let num_vals = column.num_vals() as f32 / 100.0;
let sample_positions = (0..20)
.map(|pos| (num_vals * pos as f32 * 5.0) as u64)
.collect::<Vec<_>>();
let limit_num_vals = column.num_vals().min(100_000);
let line = Line::estimate(column, &sample_positions);
let num_samples = 100;
let step_size = (limit_num_vals / num_samples).max(1); // 20 samples
let mut sample_positions_and_values: Vec<_> = Vec::new();
for (pos, val) in column.iter().enumerate().step_by(step_size as usize) {
sample_positions_and_values.push((pos as u64, val));
}
let mut column_reader = column.reader();
let estimated_bit_width = sample_positions
let line = Line::estimate(&sample_positions_and_values);
let estimated_bit_width = sample_positions_and_values
.into_iter()
.map(|pos| {
let actual_value = column_reader.seek(pos);
.map(|(pos, actual_value)| {
let interpolated_val = line.eval(pos as u64);
actual_value.wrapping_sub(interpolated_val)
})
@@ -147,6 +148,7 @@ impl FastFieldCodec for LinearCodec {
.max()
.unwrap_or(0);
// Extrapolate to whole column
let num_bits = (estimated_bit_width as u64 * column.num_vals() as u64) + 64;
let num_bits_uncompressed = 64 * column.num_vals();
Some(num_bits as f32 / num_bits_uncompressed as f32)

View File

@@ -36,11 +36,7 @@ impl MonotonicallyMappableToU64 for i64 {
impl MonotonicallyMappableToU64 for bool {
#[inline(always)]
fn to_u64(self) -> u64 {
if self {
1
} else {
0
}
u64::from(self)
}
#[inline(always)]

View File

@@ -0,0 +1,42 @@
use std::net::{IpAddr, Ipv6Addr};
pub trait MonotonicallyMappableToU128: 'static + PartialOrd + Copy + Send + Sync {
/// Converts a value to u128.
///
/// Internally all fast field values are encoded as u64.
fn to_u128(self) -> u128;
/// Converts a value from u128
///
/// Internally all fast field values are encoded as u64.
/// **Note: To be used for converting encoded Term, Posting values.**
fn from_u128(val: u128) -> Self;
}
impl MonotonicallyMappableToU128 for u128 {
fn to_u128(self) -> u128 {
self
}
fn from_u128(val: u128) -> Self {
val
}
}
impl MonotonicallyMappableToU128 for IpAddr {
fn to_u128(self) -> u128 {
ip_to_u128(self)
}
fn from_u128(val: u128) -> Self {
IpAddr::from(val.to_be_bytes())
}
}
fn ip_to_u128(ip_addr: IpAddr) -> u128 {
let ip_addr_v6: Ipv6Addr = match ip_addr {
IpAddr::V4(v4) => v4.to_ipv6_mapped(),
IpAddr::V6(v6) => v6,
};
u128::from_be_bytes(ip_addr_v6.octets())
}

View File

@@ -425,7 +425,7 @@ impl SegmentHistogramCollector {
let bucket = &mut self.buckets[bucket_pos];
bucket.doc_count += 1;
if let Some(sub_aggregation) = self.sub_aggregations.as_mut() {
(&mut sub_aggregation[bucket_pos]).collect(doc, bucket_with_accessor)?;
sub_aggregation[bucket_pos].collect(doc, bucket_with_accessor)?;
}
Ok(())
}
@@ -452,7 +452,7 @@ fn intermediate_buckets_to_final_buckets_fill_gaps(
histogram_req: &HistogramAggregation,
sub_aggregation: &AggregationsInternal,
) -> crate::Result<Vec<BucketEntry>> {
// Generate the the full list of buckets without gaps.
// Generate the full list of buckets without gaps.
//
// The bounds are the min max from the current buckets, optionally extended by
// extended_bounds from the request

View File

@@ -323,8 +323,8 @@ impl SegmentRangeCollector {
/// Converts the user provided f64 range value to fast field value space.
///
/// Internally fast field values are always stored as u64.
/// If the fast field has u64 [1,2,5], these values are stored as is in the fast field.
/// A fast field with f64 [1.0, 2.0, 5.0] is converted to u64 space, using a
/// If the fast field has u64 `[1, 2, 5]`, these values are stored as is in the fast field.
/// A fast field with f64 `[1.0, 2.0, 5.0]` is converted to u64 space, using a
/// monotonic mapping function, so the order is preserved.
///
/// Consequently, a f64 user range 1.0..3.0 needs to be converted to fast field value space using

View File

@@ -38,7 +38,7 @@ pub trait CustomSegmentScorer<TScore>: 'static {
pub trait CustomScorer<TScore>: Sync {
/// Type of the associated [`CustomSegmentScorer`].
type Child: CustomSegmentScorer<TScore>;
/// Builds a child scorer for a specific segment. The child scorer is associated to
/// Builds a child scorer for a specific segment. The child scorer is associated with
/// a specific segment.
fn segment_scorer(&self, segment_reader: &SegmentReader) -> crate::Result<Self::Child>;
}

View File

@@ -91,7 +91,7 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
/// let index = Index::create_in_ram(schema);
/// {
/// let mut index_writer = index.writer(3_000_000)?;
/// // a document can be associated to any number of facets
/// // a document can be associated with any number of facets
/// index_writer.add_document(doc!(
/// title => "The Name of the Wind",
/// facet => Facet::from("/lang/en"),
@@ -338,11 +338,7 @@ impl SegmentCollector for FacetSegmentCollector {
let mut previous_collapsed_ord: usize = usize::MAX;
for &facet_ord in &self.facet_ords_buf {
let collapsed_ord = self.collapse_mapping[facet_ord as usize];
self.counts[collapsed_ord] += if collapsed_ord == previous_collapsed_ord {
0
} else {
1
};
self.counts[collapsed_ord] += u64::from(collapsed_ord != previous_collapsed_ord);
previous_collapsed_ord = collapsed_ord;
}
}

View File

@@ -37,7 +37,7 @@ impl HistogramCollector {
/// The scale/range of the histogram is not dynamic. It is required to
/// define it by supplying following parameter:
/// - `min_value`: the minimum value that can be recorded in the histogram.
/// - `bucket_width`: the length of the interval that is associated to each buckets.
/// - `bucket_width`: the length of the interval that is associated with each buckets.
/// - `num_buckets`: The overall number of buckets.
///
/// Together, this parameters define a partition of `[min_value, min_value + num_buckets *

View File

@@ -142,7 +142,7 @@ pub trait Collector: Sync + Send {
/// e.g. `usize` for the `Count` collector.
type Fruit: Fruit;
/// Type of the `SegmentCollector` associated to this collector.
/// Type of the `SegmentCollector` associated with this collector.
type Child: SegmentCollector;
/// `set_segment` is called before beginning to enumerate
@@ -156,7 +156,7 @@ pub trait Collector: Sync + Send {
/// Returns true iff the collector requires to compute scores for documents.
fn requires_scoring(&self) -> bool;
/// Combines the fruit associated to the collection of each segments
/// Combines the fruit associated with the collection of each segments
/// into one fruit.
fn merge_fruits(
&self,

View File

@@ -693,7 +693,7 @@ impl Collector for TopDocs {
}
}
/// Segment Collector associated to `TopDocs`.
/// Segment Collector associated with `TopDocs`.
pub struct TopScoreSegmentCollector(TopSegmentCollector<Score>);
impl SegmentCollector for TopScoreSegmentCollector {

View File

@@ -40,7 +40,7 @@ pub trait ScoreTweaker<TScore>: Sync {
/// Type of the associated [`ScoreSegmentTweaker`].
type Child: ScoreSegmentTweaker<TScore>;
/// Builds a child tweaker for a specific segment. The child scorer is associated to
/// Builds a child tweaker for a specific segment. The child scorer is associated with
/// a specific segment.
fn segment_tweaker(&self, segment_reader: &SegmentReader) -> Result<Self::Child>;
}

View File

@@ -19,7 +19,7 @@ use crate::error::{DataCorruption, TantivyError};
use crate::indexer::index_writer::{MAX_NUM_THREAD, MEMORY_ARENA_NUM_BYTES_MIN};
use crate::indexer::segment_updater::save_metas;
use crate::reader::{IndexReader, IndexReaderBuilder};
use crate::schema::{Field, FieldType, Schema};
use crate::schema::{Cardinality, Field, FieldType, Schema};
use crate::tokenizer::{TextAnalyzer, TokenizerManager};
use crate::IndexWriter;
@@ -152,9 +152,7 @@ impl IndexBuilder {
/// This should only be used for unit tests.
pub fn create_in_ram(self) -> Result<Index, TantivyError> {
let ram_directory = RamDirectory::create();
Ok(self
.create(ram_directory)
.expect("Creating a RamDirectory should never fail"))
self.create(ram_directory)
}
/// Creates a new index in a given filepath.
@@ -228,10 +226,44 @@ impl IndexBuilder {
))
}
}
fn validate(&self) -> crate::Result<()> {
if let Some(schema) = self.schema.as_ref() {
if let Some(sort_by_field) = self.index_settings.sort_by_field.as_ref() {
let schema_field = schema.get_field(&sort_by_field.field).ok_or_else(|| {
TantivyError::InvalidArgument(format!(
"Field to sort index {} not found in schema",
sort_by_field.field
))
})?;
let entry = schema.get_field_entry(schema_field);
if !entry.is_fast() {
return Err(TantivyError::InvalidArgument(format!(
"Field {} is no fast field. Field needs to be a single value fast field \
to be used to sort an index",
sort_by_field.field
)));
}
if entry.field_type().fastfield_cardinality() != Some(Cardinality::SingleValue) {
return Err(TantivyError::InvalidArgument(format!(
"Only single value fast field Cardinality supported for sorting index {}",
sort_by_field.field
)));
}
}
Ok(())
} else {
Err(TantivyError::InvalidArgument(
"no schema passed".to_string(),
))
}
}
/// Creates a new index given an implementation of the trait `Directory`.
///
/// If a directory previously existed, it will be erased.
fn create<T: Into<Box<dyn Directory>>>(self, dir: T) -> crate::Result<Index> {
self.validate()?;
let dir = dir.into();
let directory = ManagedDirectory::wrap(dir)?;
save_new_metas(

View File

@@ -130,7 +130,7 @@ impl SegmentMeta {
/// Returns the relative path of a component of our segment.
///
/// It just joins the segment id with the extension
/// associated to a segment component.
/// associated with a segment component.
pub fn relative_path(&self, component: SegmentComponent) -> PathBuf {
let mut path = self.id().uuid_string();
path.push_str(&*match component {
@@ -326,13 +326,13 @@ pub struct IndexMeta {
/// `IndexSettings` to configure index options.
#[serde(default)]
pub index_settings: IndexSettings,
/// List of `SegmentMeta` information associated to each finalized segment of the index.
/// List of `SegmentMeta` information associated with each finalized segment of the index.
pub segments: Vec<SegmentMeta>,
/// Index `Schema`
pub schema: Schema,
/// Opstamp associated to the last `commit` operation.
/// Opstamp associated with the last `commit` operation.
pub opstamp: Opstamp,
/// Payload associated to the last commit.
/// Payload associated with the last commit.
///
/// Upon commit, clients can optionally add a small `String` payload to their commit
/// to help identify this commit.

View File

@@ -9,18 +9,17 @@ use crate::schema::{IndexRecordOption, Term};
use crate::termdict::TermDictionary;
/// The inverted index reader is in charge of accessing
/// the inverted index associated to a specific field.
/// the inverted index associated with a specific field.
///
/// # Note
///
/// It is safe to delete the segment associated to
/// It is safe to delete the segment associated with
/// an `InvertedIndexReader`. As long as it is open,
/// the `FileSlice` it is relying on should
/// the [`FileSlice`] it is relying on should
/// stay available.
///
///
/// `InvertedIndexReader` are created by calling
/// the `SegmentReader`'s [`.inverted_index(...)`] method
/// [`SegmentReader::inverted_index()`](crate::SegmentReader::inverted_index).
pub struct InvertedIndexReader {
termdict: TermDictionary,
postings_file_slice: FileSlice,
@@ -30,7 +29,7 @@ pub struct InvertedIndexReader {
}
impl InvertedIndexReader {
#[cfg_attr(feature = "cargo-clippy", allow(clippy::needless_pass_by_value))] // for symmetry
#[allow(clippy::needless_pass_by_value)] // for symmetry
pub(crate) fn new(
termdict: TermDictionary,
postings_file_slice: FileSlice,
@@ -75,7 +74,7 @@ impl InvertedIndexReader {
///
/// This is useful for enumerating through a list of terms,
/// and consuming the associated posting lists while avoiding
/// reallocating a `BlockSegmentPostings`.
/// reallocating a [`BlockSegmentPostings`].
///
/// # Warning
///
@@ -96,7 +95,7 @@ impl InvertedIndexReader {
/// Returns a block postings given a `Term`.
/// This method is for an advanced usage only.
///
/// Most user should prefer using `read_postings` instead.
/// Most users should prefer using [`Self::read_postings()`] instead.
pub fn read_block_postings(
&self,
term: &Term,
@@ -110,7 +109,7 @@ impl InvertedIndexReader {
/// Returns a block postings given a `term_info`.
/// This method is for an advanced usage only.
///
/// Most user should prefer using `read_postings` instead.
/// Most users should prefer using [`Self::read_postings()`] instead.
pub fn read_block_postings_from_terminfo(
&self,
term_info: &TermInfo,
@@ -130,7 +129,7 @@ impl InvertedIndexReader {
/// Returns a posting object given a `term_info`.
/// This method is for an advanced usage only.
///
/// Most user should prefer using `read_postings` instead.
/// Most users should prefer using [`Self::read_postings()`] instead.
pub fn read_postings_from_terminfo(
&self,
term_info: &TermInfo,
@@ -164,12 +163,12 @@ impl InvertedIndexReader {
/// or `None` if the term has never been encountered and indexed.
///
/// If the field was not indexed with the indexing options that cover
/// the requested options, the returned `SegmentPostings` the method does not fail
/// the requested options, the returned [`SegmentPostings`] the method does not fail
/// and returns a `SegmentPostings` with as much information as possible.
///
/// For instance, requesting `IndexRecordOption::Freq` for a
/// `TextIndexingOptions` that does not index position will return a `SegmentPostings`
/// with `DocId`s and frequencies.
/// For instance, requesting [`IndexRecordOption::WithFreqs`] for a
/// [`TextOptions`](crate::schema::TextOptions) that does not index position
/// will return a [`SegmentPostings`] with `DocId`s and frequencies.
pub fn read_postings(
&self,
term: &Term,
@@ -211,7 +210,7 @@ impl InvertedIndexReader {
/// Returns a block postings given a `Term`.
/// This method is for an advanced usage only.
///
/// Most user should prefer using `read_postings` instead.
/// Most users should prefer using [`Self::read_postings()`] instead.
pub async fn warm_postings(
&self,
term: &Term,

View File

@@ -69,7 +69,7 @@ pub struct Searcher {
}
impl Searcher {
/// Returns the `Index` associated to the `Searcher`
/// Returns the `Index` associated with the `Searcher`
pub fn index(&self) -> &Index {
&self.inner.index
}
@@ -108,7 +108,7 @@ impl Searcher {
store_reader.get_async(doc_address.doc_id).await
}
/// Access the schema associated to the index of this searcher.
/// Access the schema associated with the index of this searcher.
pub fn schema(&self) -> &Schema {
&self.inner.schema
}
@@ -161,11 +161,11 @@ impl Searcher {
///
/// Search works as follows :
///
/// First the weight object associated to the query is created.
/// First the weight object associated with the query is created.
///
/// Then, the query loops over the segments and for each segment :
/// - setup the collector and informs it that the segment being processed has changed.
/// - creates a SegmentCollector for collecting documents associated to the segment
/// - creates a SegmentCollector for collecting documents associated with the segment
/// - creates a `Scorer` object associated for this segment
/// - iterate through the matched documents and push them to the segment collector.
///

View File

@@ -70,7 +70,7 @@ impl Segment {
/// Returns the relative path of a component of our segment.
///
/// It just joins the segment id with the extension
/// associated to a segment component.
/// associated with a segment component.
pub fn relative_path(&self, component: SegmentComponent) -> PathBuf {
self.meta.relative_path(component)
}

View File

@@ -6,7 +6,7 @@ use std::slice;
/// except the delete component that takes an `segment_uuid`.`delete_opstamp`.`component_extension`
#[derive(Copy, Clone, Eq, PartialEq)]
pub enum SegmentComponent {
/// Postings (or inverted list). Sorted lists of document ids, associated to terms
/// Postings (or inverted list). Sorted lists of document ids, associated with terms
Postings,
/// Positions of terms in each document.
Positions,

View File

@@ -57,7 +57,7 @@ impl SegmentId {
/// Picking the first 8 chars is ok to identify
/// segments in a display message (e.g. a5c4dfcb).
pub fn short_uuid_string(&self) -> String {
(&self.0.as_simple().to_string()[..8]).to_string()
self.0.as_simple().to_string()[..8].to_string()
}
/// Returns a segment uuid string.

View File

@@ -89,7 +89,7 @@ impl SegmentReader {
&self.fast_fields_readers
}
/// Accessor to the `FacetReader` associated to a given `Field`.
/// Accessor to the `FacetReader` associated with a given `Field`.
pub fn facet_reader(&self, field: Field) -> crate::Result<FacetReader> {
let field_entry = self.schema.get_field_entry(field);
@@ -208,18 +208,18 @@ impl SegmentReader {
})
}
/// Returns a field reader associated to the field given in argument.
/// Returns a field reader associated with the field given in argument.
/// If the field was not present in the index during indexing time,
/// the InvertedIndexReader is empty.
///
/// The field reader is in charge of iterating through the
/// term dictionary associated to a specific field,
/// and opening the posting list associated to any term.
/// term dictionary associated with a specific field,
/// and opening the posting list associated with any term.
///
/// If the field is not marked as index, a warn is logged and an empty `InvertedIndexReader`
/// If the field is not marked as index, a warning is logged and an empty `InvertedIndexReader`
/// is returned.
/// Similarly if the field is marked as indexed but no term has been indexed for the given
/// index. an empty `InvertedIndexReader` is returned (but no warning is logged).
/// Similarly, if the field is marked as indexed but no term has been indexed for the given
/// index, an empty `InvertedIndexReader` is returned (but no warning is logged).
pub fn inverted_index(&self, field: Field) -> crate::Result<Arc<InvertedIndexReader>> {
if let Some(inv_idx_reader) = self
.inv_idx_reader_cache
@@ -241,7 +241,7 @@ impl SegmentReader {
if postings_file_opt.is_none() || record_option_opt.is_none() {
// no documents in the segment contained this field.
// As a result, no data is associated to the inverted index.
// As a result, no data is associated with the inverted index.
//
// Returns an empty inverted index.
let record_option = record_option_opt.unwrap_or(IndexRecordOption::Basic);

View File

@@ -154,14 +154,14 @@ impl CompositeFile {
}
}
/// Returns the `FileSlice` associated
/// to a given `Field` and stored in a `CompositeFile`.
/// Returns the `FileSlice` associated with
/// a given `Field` and stored in a `CompositeFile`.
pub fn open_read(&self, field: Field) -> Option<FileSlice> {
self.open_read_with_idx(field, 0)
}
/// Returns the `FileSlice` associated
/// to a given `Field` and stored in a `CompositeFile`.
/// Returns the `FileSlice` associated with
/// a given `Field` and stored in a `CompositeFile`.
pub fn open_read_with_idx(&self, field: Field, idx: usize) -> Option<FileSlice> {
self.offsets_index
.get(&FileAddr { field, idx })

View File

@@ -39,7 +39,7 @@ impl RetryPolicy {
/// The `DirectoryLock` is an object that represents a file lock.
///
/// It is associated to a lock file, that gets deleted on `Drop.`
/// It is associated with a lock file, that gets deleted on `Drop.`
pub struct DirectoryLock(Box<dyn Send + Sync + 'static>);
struct DirectoryLockGuard {

View File

@@ -1,5 +1,5 @@
use std::ops::{Deref, Range};
use std::sync::{Arc, Weak};
use std::sync::Arc;
use std::{fmt, io};
use async_trait::async_trait;
@@ -8,16 +8,13 @@ use stable_deref_trait::StableDeref;
use crate::directory::OwnedBytes;
pub type ArcBytes = Arc<dyn Deref<Target = [u8]> + Send + Sync + 'static>;
pub type WeakArcBytes = Weak<dyn Deref<Target = [u8]> + Send + Sync + 'static>;
/// Objects that represents files sections in tantivy.
///
/// By contract, whatever happens to the directory file, as long as a FileHandle
/// is alive, the data associated with it cannot be altered or destroyed.
///
/// The underlying behavior is therefore specific to the `Directory` that created it.
/// Despite its name, a `FileSlice` may or may not directly map to an actual file
/// The underlying behavior is therefore specific to the [`Directory`](crate::Directory) that
/// created it. Despite its name, a [`FileSlice`] may or may not directly map to an actual file
/// on the filesystem.
#[async_trait]

View File

@@ -9,7 +9,7 @@ use crc32fast::Hasher;
use crate::directory::{WatchCallback, WatchCallbackList, WatchHandle};
pub const POLLING_INTERVAL: Duration = Duration::from_millis(if cfg!(test) { 1 } else { 500 });
const POLLING_INTERVAL: Duration = Duration::from_millis(if cfg!(test) { 1 } else { 500 });
// Watches a file and executes registered callbacks when the file is modified.
pub struct FileWatcher {

View File

@@ -3,7 +3,7 @@ use std::fs::{self, File, OpenOptions};
use std::io::{self, BufWriter, Read, Seek, Write};
use std::ops::Deref;
use std::path::{Path, PathBuf};
use std::sync::{Arc, RwLock};
use std::sync::{Arc, RwLock, Weak};
use std::{fmt, result};
use fs2::FileExt;
@@ -18,10 +18,13 @@ use crate::directory::error::{
};
use crate::directory::file_watcher::FileWatcher;
use crate::directory::{
AntiCallToken, ArcBytes, Directory, DirectoryLock, FileHandle, Lock, OwnedBytes,
TerminatingWrite, WatchCallback, WatchHandle, WeakArcBytes, WritePtr,
AntiCallToken, Directory, DirectoryLock, FileHandle, Lock, OwnedBytes, TerminatingWrite,
WatchCallback, WatchHandle, WritePtr,
};
pub type ArcBytes = Arc<dyn Deref<Target = [u8]> + Send + Sync + 'static>;
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::new(io::ErrorKind::Other, msg)
@@ -301,7 +304,7 @@ pub(crate) fn atomic_write(path: &Path, content: &[u8]) -> io::Result<()> {
"Path {:?} does not have parent directory.",
)
})?;
let mut tempfile = tempfile::Builder::new().tempfile_in(&parent_path)?;
let mut tempfile = tempfile::Builder::new().tempfile_in(parent_path)?;
tempfile.write_all(content)?;
tempfile.flush()?;
tempfile.as_file_mut().sync_data()?;
@@ -334,7 +337,7 @@ impl Directory for MmapDirectory {
Ok(Arc::new(owned_bytes))
}
/// Any entry associated to the path in the mmap will be
/// Any entry associated with the path in the mmap will be
/// removed before the file is deleted.
fn delete(&self, path: &Path) -> result::Result<(), DeleteError> {
let full_path = self.resolve_path(path);
@@ -472,6 +475,8 @@ mod tests {
// There are more tests in directory/mod.rs
// The following tests are specific to the MmapDirectory
use std::time::Duration;
use common::HasLen;
use super::*;
@@ -605,12 +610,21 @@ mod tests {
assert!(num_segments <= 4);
let num_components_except_deletes_and_tempstore =
crate::core::SegmentComponent::iterator().len() - 2;
assert_eq!(
num_segments * num_components_except_deletes_and_tempstore,
mmap_directory.get_cache_info().mmapped.len()
let num_mmapped = mmap_directory.get_cache_info().mmapped.len();
assert!(
num_mmapped <= num_segments * num_components_except_deletes_and_tempstore,
"Expected at most {} mmapped files, got {num_mmapped}",
num_segments * num_components_except_deletes_and_tempstore
);
}
assert!(mmap_directory.get_cache_info().mmapped.is_empty());
Ok(())
// This test failed on CI. The last Mmap is dropped from the merging thread so there might
// be a race condition indeed.
for _ in 0..10 {
if mmap_directory.get_cache_info().mmapped.is_empty() {
return Ok(());
}
std::thread::sleep(Duration::from_millis(200));
}
panic!("The cache still contains information. One of the Mmap has not been dropped.");
}
}

View File

@@ -26,7 +26,6 @@ pub use ownedbytes::OwnedBytes;
pub(crate) use self::composite_file::{CompositeFile, CompositeWrite};
pub use self::directory::{Directory, DirectoryClone, DirectoryLock};
pub use self::directory_lock::{Lock, INDEX_WRITER_LOCK, META_LOCK};
pub(crate) use self::file_slice::{ArcBytes, WeakArcBytes};
pub use self::file_slice::{FileHandle, FileSlice};
pub use self::ram_directory::RamDirectory;
pub use self::watch_event_router::{WatchCallback, WatchCallbackList, WatchHandle};

View File

@@ -136,6 +136,20 @@ impl RamDirectory {
Self::default()
}
/// Deep clones the directory.
///
/// Ulterior writes on one of the copy
/// will not affect the other copy.
pub fn deep_clone(&self) -> RamDirectory {
let inner_clone = InnerDirectory {
fs: self.fs.read().unwrap().fs.clone(),
watch_router: Default::default(),
};
RamDirectory {
fs: Arc::new(RwLock::new(inner_clone)),
}
}
/// Returns the sum of the size of the different files
/// in the [`RamDirectory`].
pub fn total_mem_usage(&self) -> usize {
@@ -256,4 +270,23 @@ mod tests {
assert_eq!(directory_copy.atomic_read(path_atomic).unwrap(), msg_atomic);
assert_eq!(directory_copy.atomic_read(path_seq).unwrap(), msg_seq);
}
#[test]
fn test_ram_directory_deep_clone() {
let dir = RamDirectory::default();
let test = Path::new("test");
let test2 = Path::new("test2");
dir.atomic_write(test, b"firstwrite").unwrap();
let dir_clone = dir.deep_clone();
assert_eq!(
dir_clone.atomic_read(test).unwrap(),
dir.atomic_read(test).unwrap()
);
dir.atomic_write(test, b"original").unwrap();
dir_clone.atomic_write(test, b"clone").unwrap();
dir_clone.atomic_write(test2, b"clone2").unwrap();
assert_eq!(dir.atomic_read(test).unwrap(), b"original");
assert_eq!(&dir_clone.atomic_read(test).unwrap(), b"clone");
assert_eq!(&dir_clone.atomic_read(test2).unwrap(), b"clone2");
}
}

View File

@@ -1,3 +1,4 @@
use std::ops::Range;
use std::sync::Arc;
use fastfield_codecs::Column;
@@ -31,36 +32,39 @@ impl BytesFastFieldReader {
Ok(BytesFastFieldReader { idx_reader, values })
}
fn range(&self, doc: DocId) -> (usize, usize) {
fn range(&self, doc: DocId) -> Range<u64> {
let idx = doc as u64;
let start = self.idx_reader.get_val(idx) as usize;
let stop = self.idx_reader.get_val(idx + 1) as usize;
(start, stop)
let start = self.idx_reader.get_val(idx);
let end = self.idx_reader.get_val(idx + 1);
start..end
}
/// Returns the bytes associated to the given `doc`
/// Returns the bytes associated with the given `doc`
pub fn get_bytes(&self, doc: DocId) -> &[u8] {
let (start, stop) = self.range(doc);
&self.values.as_slice()[start..stop]
let range = self.range(doc);
&self.values.as_slice()[range.start as usize..range.end as usize]
}
/// Returns the length of the bytes associated to the given `doc`
pub fn num_bytes(&self, doc: DocId) -> usize {
let (start, stop) = self.range(doc);
stop - start
/// Returns the length of the bytes associated with the given `doc`
pub fn num_bytes(&self, doc: DocId) -> u64 {
let range = self.range(doc);
range.end - range.start
}
/// Returns the overall number of bytes in this bytes fast field.
pub fn total_num_bytes(&self) -> usize {
self.values.len()
pub fn total_num_bytes(&self) -> u64 {
self.values.len() as u64
}
}
impl MultiValueLength for BytesFastFieldReader {
fn get_range(&self, doc_id: DocId) -> std::ops::Range<u64> {
self.range(doc_id)
}
fn get_len(&self, doc_id: DocId) -> u64 {
self.num_bytes(doc_id) as u64
self.num_bytes(doc_id)
}
fn get_total_len(&self) -> u64 {
self.total_num_bytes() as u64
self.total_num_bytes()
}
}

View File

@@ -24,7 +24,7 @@ use crate::DocId;
///
/// Once acquired, writing is done by calling
/// [`.add_document_val(&[u8])`](BytesFastFieldWriter::add_document_val)
/// once per document, even if there are no bytes associated to it.
/// once per document, even if there are no bytes associated with it.
pub struct BytesFastFieldWriter {
field: Field,
vals: Vec<u8>,
@@ -45,7 +45,7 @@ impl BytesFastFieldWriter {
pub fn mem_usage(&self) -> usize {
self.vals.capacity() + self.doc_index.capacity() * std::mem::size_of::<u64>()
}
/// Access the field associated to the `BytesFastFieldWriter`
/// Access the field associated with the `BytesFastFieldWriter`
pub fn field(&self) -> Field {
self.field
}
@@ -67,7 +67,7 @@ impl BytesFastFieldWriter {
}
}
/// Register the bytes associated to a document.
/// Register the bytes associated with a document.
///
/// The method returns the `DocId` of the document that was
/// just written.

View File

@@ -7,7 +7,7 @@ use crate::termdict::{TermDictionary, TermOrdinal};
use crate::DocId;
/// The facet reader makes it possible to access the list of
/// facets associated to a given document in a specific
/// facets associated with a given document in a specific
/// segment.
///
/// Rather than manipulating `Facet` object directly, the API
@@ -58,7 +58,7 @@ impl FacetReader {
&self.term_dict
}
/// Given a term ordinal returns the term associated to it.
/// Given a term ordinal returns the term associated with it.
pub fn facet_from_ord(
&mut self,
facet_ord: TermOrdinal,
@@ -74,7 +74,7 @@ impl FacetReader {
Ok(())
}
/// Return the list of facet ordinals associated to a document.
/// Return the list of facet ordinals associated with a document.
pub fn facet_ords(&self, doc: DocId, output: &mut Vec<u64>) {
self.term_ords.get_vals(doc, output);
}

View File

@@ -26,7 +26,7 @@ pub use self::alive_bitset::{intersect_alive_bitsets, write_alive_bitset, AliveB
pub use self::bytes::{BytesFastFieldReader, BytesFastFieldWriter};
pub use self::error::{FastFieldNotAvailableError, Result};
pub use self::facet_reader::FacetReader;
pub(crate) use self::multivalued::MultivalueStartIndex;
pub(crate) use self::multivalued::{get_fastfield_codecs_for_multivalue, MultivalueStartIndex};
pub use self::multivalued::{MultiValuedFastFieldReader, MultiValuedFastFieldWriter};
pub use self::readers::FastFieldReaders;
pub(crate) use self::readers::{type_and_cardinality, FastType};
@@ -47,7 +47,9 @@ mod writer;
/// Trait for `BytesFastFieldReader` and `MultiValuedFastFieldReader` to return the length of data
/// for a doc_id
pub trait MultiValueLength {
/// returns the num of values associated to a doc_id
/// returns the positions for a docid
fn get_range(&self, doc_id: DocId) -> std::ops::Range<u64>;
/// returns the num of values associated with a doc_id
fn get_len(&self, doc_id: DocId) -> u64;
/// returns the sum of num values for all doc_ids
fn get_total_len(&self) -> u64;

View File

@@ -1,10 +1,21 @@
mod multivalue_start_index;
mod reader;
mod writer;
pub(crate) use self::multivalue_start_index::MultivalueStartIndex;
use fastfield_codecs::FastFieldCodecType;
pub use self::reader::MultiValuedFastFieldReader;
pub use self::writer::MultiValuedFastFieldWriter;
pub(crate) use self::writer::MultivalueStartIndex;
/// The valid codecs for multivalue values excludes the linear interpolation codec.
///
/// This limitation is only valid for the values, not the offset index of the multivalue index.
pub(crate) fn get_fastfield_codecs_for_multivalue() -> [FastFieldCodecType; 2] {
[
FastFieldCodecType::Bitpacked,
FastFieldCodecType::BlockwiseLinear,
]
}
#[cfg(test)]
mod tests {
@@ -403,6 +414,74 @@ mod bench {
use crate::schema::{Cardinality, NumericOptions, Schema};
use crate::Document;
fn bench_multi_value_ff_merge_opt(
num_docs: usize,
segments_every_n_docs: usize,
merge_policy: impl crate::indexer::MergePolicy + 'static,
) {
let mut builder = crate::schema::SchemaBuilder::new();
let fast_multi =
crate::schema::NumericOptions::default().set_fast(Cardinality::MultiValues);
let multi_field = builder.add_f64_field("f64s", fast_multi);
let index = crate::Index::create_in_ram(builder.build());
let mut writer = index.writer_for_tests().unwrap();
writer.set_merge_policy(Box::new(merge_policy));
for i in 0..num_docs {
let mut doc = crate::Document::new();
doc.add_f64(multi_field, 0.24);
doc.add_f64(multi_field, 0.27);
doc.add_f64(multi_field, 0.37);
if i % 3 == 0 {
doc.add_f64(multi_field, 0.44);
}
writer.add_document(doc).unwrap();
if i % segments_every_n_docs == 0 {
writer.commit().unwrap();
}
}
{
writer.wait_merging_threads().unwrap();
let mut writer = index.writer_for_tests().unwrap();
let segment_ids = index.searchable_segment_ids().unwrap();
writer.merge(&segment_ids).wait().unwrap();
}
// If a merging thread fails, we should end up with more
// than one segment here
assert_eq!(1, index.searchable_segments().unwrap().len());
}
#[bench]
fn bench_multi_value_ff_merge_many_segments(b: &mut Bencher) {
let num_docs = 100_000;
b.iter(|| {
bench_multi_value_ff_merge_opt(num_docs, 1_000, crate::indexer::NoMergePolicy);
});
}
#[bench]
fn bench_multi_value_ff_merge_many_segments_log_merge(b: &mut Bencher) {
let num_docs = 100_000;
b.iter(|| {
let merge_policy = crate::indexer::LogMergePolicy::default();
bench_multi_value_ff_merge_opt(num_docs, 1_000, merge_policy);
});
}
#[bench]
fn bench_multi_value_ff_merge_few_segments(b: &mut Bencher) {
let num_docs = 100_000;
b.iter(|| {
bench_multi_value_ff_merge_opt(num_docs, 33_000, crate::indexer::NoMergePolicy);
});
}
fn multi_values(num_docs: usize, vals_per_doc: usize) -> Vec<Vec<u64>> {
let mut vals = vec![];
for _i in 0..num_docs {

View File

@@ -1,171 +0,0 @@
use fastfield_codecs::{Column, ColumnReader};
use crate::indexer::doc_id_mapping::DocIdMapping;
pub(crate) struct MultivalueStartIndex<'a, C: Column> {
column: &'a C,
doc_id_map: &'a DocIdMapping,
min_value: u64,
max_value: u64,
}
struct MultivalueStartIndexReader<'a, C: Column> {
seek_head: MultivalueStartIndexIter<'a, C>,
seek_next_id: u64,
}
impl<'a, C: Column> MultivalueStartIndexReader<'a, C> {
fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
Self {
seek_head: MultivalueStartIndexIter {
column,
doc_id_map,
new_doc_id: 0,
offset: 0u64,
},
seek_next_id: 0u64,
}
}
fn reset(&mut self) {
self.seek_next_id = 0;
self.seek_head.new_doc_id = 0;
self.seek_head.offset = 0;
}
}
impl<'a, C: Column> ColumnReader for MultivalueStartIndexReader<'a, C> {
fn seek(&mut self, idx: u64) -> u64 {
if self.seek_next_id > idx {
self.reset();
}
let to_skip = idx - self.seek_next_id;
self.seek_next_id = idx + 1;
self.seek_head.nth(to_skip as usize).unwrap()
}
}
impl<'a, C: Column> MultivalueStartIndex<'a, C> {
pub fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
assert_eq!(column.num_vals(), doc_id_map.num_old_doc_ids() as u64 + 1);
let iter = MultivalueStartIndexIter::new(column, doc_id_map);
let (min_value, max_value) = tantivy_bitpacker::minmax(iter).unwrap_or((0, 0));
MultivalueStartIndex {
column,
doc_id_map,
min_value,
max_value,
}
}
fn specialized_reader(&self) -> MultivalueStartIndexReader<'a, C> {
MultivalueStartIndexReader::new(self.column, self.doc_id_map)
}
}
impl<'a, C: Column> Column for MultivalueStartIndex<'a, C> {
fn reader(&self) -> Box<dyn ColumnReader + '_> {
Box::new(self.specialized_reader())
}
fn get_val(&self, idx: u64) -> u64 {
let mut reader = self.specialized_reader();
reader.seek(idx)
}
fn min_value(&self) -> u64 {
self.min_value
}
fn max_value(&self) -> u64 {
self.max_value
}
fn num_vals(&self) -> u64 {
(self.doc_id_map.num_new_doc_ids() + 1) as u64
}
fn iter<'b>(&'b self) -> Box<dyn Iterator<Item = u64> + 'b> {
Box::new(MultivalueStartIndexIter::new(self.column, self.doc_id_map))
}
}
struct MultivalueStartIndexIter<'a, C: Column> {
column: &'a C,
doc_id_map: &'a DocIdMapping,
new_doc_id: usize,
offset: u64,
}
impl<'a, C: Column> MultivalueStartIndexIter<'a, C> {
fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
Self {
column,
doc_id_map,
new_doc_id: 0,
offset: 0,
}
}
}
impl<'a, C: Column> Iterator for MultivalueStartIndexIter<'a, C> {
type Item = u64;
fn next(&mut self) -> Option<Self::Item> {
if self.new_doc_id > self.doc_id_map.num_new_doc_ids() {
return None;
}
let new_doc_id = self.new_doc_id;
self.new_doc_id += 1;
let start_offset = self.offset;
if new_doc_id < self.doc_id_map.num_new_doc_ids() {
let old_doc = self.doc_id_map.get_old_doc_id(new_doc_id as u32) as u64;
let num_vals_for_doc = self.column.get_val(old_doc + 1) - self.column.get_val(old_doc);
self.offset += num_vals_for_doc;
}
Some(start_offset)
}
}
#[cfg(test)]
mod tests {
use fastfield_codecs::VecColumn;
use super::*;
#[test]
fn test_multivalue_start_index() {
let doc_id_mapping = DocIdMapping::from_new_id_to_old_id(vec![4, 1, 2]);
assert_eq!(doc_id_mapping.num_old_doc_ids(), 5);
let col = VecColumn::from(&[0u64, 3, 5, 10, 12, 16][..]);
let multivalue_start_index = MultivalueStartIndex::new(
&col, // 3, 2, 5, 2, 4
&doc_id_mapping,
);
assert_eq!(multivalue_start_index.num_vals(), 4);
assert_eq!(
multivalue_start_index.iter().collect::<Vec<u64>>(),
vec![0, 4, 6, 11]
); // 4, 2, 5
}
#[test]
fn test_multivalue_get_vals() {
let doc_id_mapping =
DocIdMapping::from_new_id_to_old_id(vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
assert_eq!(doc_id_mapping.num_old_doc_ids(), 10);
let col = VecColumn::from(&[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55][..]);
let multivalue_start_index = MultivalueStartIndex::new(&col, &doc_id_mapping);
assert_eq!(
multivalue_start_index.iter().collect::<Vec<u64>>(),
vec![0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
);
assert_eq!(multivalue_start_index.num_vals(), 11);
let mut multivalue_start_index_reader = multivalue_start_index.reader();
assert_eq!(multivalue_start_index_reader.seek(3), 2);
assert_eq!(multivalue_start_index_reader.seek(5), 5);
assert_eq!(multivalue_start_index_reader.seek(8), 21);
assert_eq!(multivalue_start_index_reader.seek(4), 3);
assert_eq!(multivalue_start_index_reader.seek(0), 0);
assert_eq!(multivalue_start_index_reader.seek(10), 55);
}
}

View File

@@ -30,8 +30,8 @@ impl<Item: FastValue> MultiValuedFastFieldReader<Item> {
}
}
/// Returns `[start, end)`, such that the values associated
/// to the given document are `start..end`.
/// Returns `[start, end)`, such that the values associated with
/// the given document are `start..end`.
#[inline]
fn range(&self, doc: DocId) -> Range<u64> {
let idx = doc as u64;
@@ -40,7 +40,7 @@ impl<Item: FastValue> MultiValuedFastFieldReader<Item> {
start..end
}
/// Returns the array of values associated to the given `doc`.
/// Returns the array of values associated with the given `doc`.
#[inline]
fn get_vals_for_range(&self, range: Range<u64>, vals: &mut Vec<Item>) {
let len = (range.end - range.start) as usize;
@@ -48,7 +48,7 @@ impl<Item: FastValue> MultiValuedFastFieldReader<Item> {
self.vals_reader.get_range(range.start, &mut vals[..]);
}
/// Returns the array of values associated to the given `doc`.
/// Returns the array of values associated with the given `doc`.
#[inline]
pub fn get_vals(&self, doc: DocId, vals: &mut Vec<Item>) {
let range = self.range(doc);
@@ -88,6 +88,9 @@ impl<Item: FastValue> MultiValuedFastFieldReader<Item> {
}
impl<Item: FastValue> MultiValueLength for MultiValuedFastFieldReader<Item> {
fn get_range(&self, doc_id: DocId) -> Range<u64> {
self.range(doc_id)
}
fn get_len(&self, doc_id: DocId) -> u64 {
self.num_vals(doc_id) as u64
}

View File

@@ -1,11 +1,10 @@
use std::io;
use fastfield_codecs::{MonotonicallyMappableToU64, VecColumn};
use fastfield_codecs::{Column, MonotonicallyMappableToU64, VecColumn};
use fnv::FnvHashMap;
use crate::fastfield::{
value_to_u64, CompositeFastFieldSerializer, FastFieldType, MultivalueStartIndex,
};
use super::get_fastfield_codecs_for_multivalue;
use crate::fastfield::{value_to_u64, CompositeFastFieldSerializer, FastFieldType};
use crate::indexer::doc_id_mapping::DocIdMapping;
use crate::postings::UnorderedTermId;
use crate::schema::{Document, Field, Value};
@@ -63,7 +62,7 @@ impl MultiValuedFastFieldWriter {
+ self.doc_index.capacity() * std::mem::size_of::<u64>()
}
/// Access the field associated to the `MultiValuedFastFieldWriter`
/// Access the field associated with the `MultiValuedFastFieldWriter`
pub fn field(&self) -> Field {
self.field
}
@@ -196,8 +195,106 @@ impl MultiValuedFastFieldWriter {
}
}
let col = VecColumn::from(&values[..]);
serializer.create_auto_detect_u64_fast_field_with_idx(self.field, col, 1)?;
serializer.create_auto_detect_u64_fast_field_with_idx_and_codecs(
self.field,
col,
1,
&get_fastfield_codecs_for_multivalue(),
)?;
}
Ok(())
}
}
pub(crate) struct MultivalueStartIndex<'a, C: Column> {
column: &'a C,
doc_id_map: &'a DocIdMapping,
min: u64,
max: u64,
}
impl<'a, C: Column> MultivalueStartIndex<'a, C> {
pub fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
assert_eq!(column.num_vals(), doc_id_map.num_old_doc_ids() as u64 + 1);
let (min, max) =
tantivy_bitpacker::minmax(iter_remapped_multivalue_index(doc_id_map, column))
.unwrap_or((0u64, 0u64));
MultivalueStartIndex {
column,
doc_id_map,
min,
max,
}
}
}
impl<'a, C: Column> Column for MultivalueStartIndex<'a, C> {
fn get_val(&self, _idx: u64) -> u64 {
unimplemented!()
}
fn min_value(&self) -> u64 {
self.min
}
fn max_value(&self) -> u64 {
self.max
}
fn num_vals(&self) -> u64 {
(self.doc_id_map.num_new_doc_ids() + 1) as u64
}
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
Box::new(iter_remapped_multivalue_index(
self.doc_id_map,
&self.column,
))
}
}
fn iter_remapped_multivalue_index<'a, C: Column>(
doc_id_map: &'a DocIdMapping,
column: &'a C,
) -> impl Iterator<Item = u64> + 'a {
let mut offset = 0;
std::iter::once(0).chain(doc_id_map.iter_old_doc_ids().map(move |old_doc| {
let num_vals_for_doc = column.get_val(old_doc as u64 + 1) - column.get_val(old_doc as u64);
offset += num_vals_for_doc;
offset as u64
}))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_multivalue_start_index() {
let doc_id_mapping = DocIdMapping::from_new_id_to_old_id(vec![4, 1, 2]);
assert_eq!(doc_id_mapping.num_old_doc_ids(), 5);
let col = VecColumn::from(&[0u64, 3, 5, 10, 12, 16][..]);
let multivalue_start_index = MultivalueStartIndex::new(
&col, // 3, 2, 5, 2, 4
&doc_id_mapping,
);
assert_eq!(multivalue_start_index.num_vals(), 4);
assert_eq!(
multivalue_start_index.iter().collect::<Vec<u64>>(),
vec![0, 4, 6, 11]
); // 4, 2, 5
}
#[test]
fn test_multivalue_get_vals() {
let doc_id_mapping =
DocIdMapping::from_new_id_to_old_id(vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
assert_eq!(doc_id_mapping.num_old_doc_ids(), 10);
let col = VecColumn::from(&[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55][..]);
let multivalue_start_index = MultivalueStartIndex::new(&col, &doc_id_mapping);
assert_eq!(
multivalue_start_index.iter().collect::<Vec<u64>>(),
vec![0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
);
assert_eq!(multivalue_start_index.num_vals(), 11);
}
}

View File

@@ -135,7 +135,7 @@ impl FastFieldReaders {
Ok(MultiValuedFastFieldReader::open(idx_reader, vals_reader))
}
/// Returns the `u64` fast field reader reader associated to `field`.
/// Returns the `u64` fast field reader reader associated with `field`.
///
/// If `field` is not a u64 fast field, this method returns an Error.
pub fn u64(&self, field: Field) -> crate::Result<Arc<dyn Column<u64>>> {
@@ -143,16 +143,16 @@ impl FastFieldReaders {
self.typed_fast_field_reader(field)
}
/// Returns the `u64` fast field reader reader associated to `field`, regardless of whether the
/// given field is effectively of type `u64` or not.
/// Returns the `u64` fast field reader reader associated with `field`, regardless of whether
/// the given field is effectively of type `u64` or not.
///
/// If not, the fastfield reader will returns the u64-value associated to the original
/// If not, the fastfield reader will returns the u64-value associated with the original
/// FastValue.
pub fn u64_lenient(&self, field: Field) -> crate::Result<Arc<dyn Column<u64>>> {
self.typed_fast_field_reader(field)
}
/// Returns the `i64` fast field reader reader associated to `field`.
/// Returns the `i64` fast field reader reader associated with `field`.
///
/// If `field` is not a i64 fast field, this method returns an Error.
pub fn i64(&self, field: Field) -> crate::Result<Arc<dyn Column<i64>>> {
@@ -160,7 +160,7 @@ impl FastFieldReaders {
self.typed_fast_field_reader(field)
}
/// Returns the `date` fast field reader reader associated to `field`.
/// Returns the `date` fast field reader reader associated with `field`.
///
/// If `field` is not a date fast field, this method returns an Error.
pub fn date(&self, field: Field) -> crate::Result<Arc<dyn Column<DateTime>>> {
@@ -168,7 +168,7 @@ impl FastFieldReaders {
self.typed_fast_field_reader(field)
}
/// Returns the `f64` fast field reader reader associated to `field`.
/// Returns the `f64` fast field reader reader associated with `field`.
///
/// If `field` is not a f64 fast field, this method returns an Error.
pub fn f64(&self, field: Field) -> crate::Result<Arc<dyn Column<f64>>> {
@@ -176,7 +176,7 @@ impl FastFieldReaders {
self.typed_fast_field_reader(field)
}
/// Returns the `bool` fast field reader reader associated to `field`.
/// Returns the `bool` fast field reader reader associated with `field`.
///
/// If `field` is not a bool fast field, this method returns an Error.
pub fn bool(&self, field: Field) -> crate::Result<Arc<dyn Column<bool>>> {
@@ -184,7 +184,7 @@ impl FastFieldReaders {
self.typed_fast_field_reader(field)
}
/// Returns a `u64s` multi-valued fast field reader reader associated to `field`.
/// Returns a `u64s` multi-valued fast field reader reader associated with `field`.
///
/// If `field` is not a u64 multi-valued fast field, this method returns an Error.
pub fn u64s(&self, field: Field) -> crate::Result<MultiValuedFastFieldReader<u64>> {
@@ -192,15 +192,15 @@ impl FastFieldReaders {
self.typed_fast_field_multi_reader(field)
}
/// Returns a `u64s` multi-valued fast field reader reader associated to `field`, regardless of
/// whether the given field is effectively of type `u64` or not.
/// Returns a `u64s` multi-valued fast field reader reader associated with `field`, regardless
/// of whether the given field is effectively of type `u64` or not.
///
/// If `field` is not a u64 multi-valued fast field, this method returns an Error.
pub fn u64s_lenient(&self, field: Field) -> crate::Result<MultiValuedFastFieldReader<u64>> {
self.typed_fast_field_multi_reader(field)
}
/// Returns a `i64s` multi-valued fast field reader reader associated to `field`.
/// Returns a `i64s` multi-valued fast field reader reader associated with `field`.
///
/// If `field` is not a i64 multi-valued fast field, this method returns an Error.
pub fn i64s(&self, field: Field) -> crate::Result<MultiValuedFastFieldReader<i64>> {
@@ -208,7 +208,7 @@ impl FastFieldReaders {
self.typed_fast_field_multi_reader(field)
}
/// Returns a `f64s` multi-valued fast field reader reader associated to `field`.
/// Returns a `f64s` multi-valued fast field reader reader associated with `field`.
///
/// If `field` is not a f64 multi-valued fast field, this method returns an Error.
pub fn f64s(&self, field: Field) -> crate::Result<MultiValuedFastFieldReader<f64>> {
@@ -216,7 +216,7 @@ impl FastFieldReaders {
self.typed_fast_field_multi_reader(field)
}
/// Returns a `bools` multi-valued fast field reader reader associated to `field`.
/// Returns a `bools` multi-valued fast field reader reader associated with `field`.
///
/// If `field` is not a bool multi-valued fast field, this method returns an Error.
pub fn bools(&self, field: Field) -> crate::Result<MultiValuedFastFieldReader<bool>> {
@@ -224,7 +224,7 @@ impl FastFieldReaders {
self.typed_fast_field_multi_reader(field)
}
/// Returns a `time::OffsetDateTime` multi-valued fast field reader reader associated to
/// Returns a `time::OffsetDateTime` multi-valued fast field reader reader associated with
/// `field`.
///
/// If `field` is not a `time::OffsetDateTime` multi-valued fast field, this method returns an
@@ -234,7 +234,7 @@ impl FastFieldReaders {
self.typed_fast_field_multi_reader(field)
}
/// Returns the `bytes` fast field reader associated to `field`.
/// Returns the `bytes` fast field reader associated with `field`.
///
/// If `field` is not a bytes fast field, returns an Error.
pub fn bytes(&self, field: Field) -> crate::Result<BytesFastFieldReader> {

View File

@@ -70,6 +70,20 @@ impl CompositeFastFieldSerializer {
Ok(())
}
/// Serialize data into a new u64 fast field. The best compression codec of the the provided
/// will be chosen.
pub fn create_auto_detect_u64_fast_field_with_idx_and_codecs<T: MonotonicallyMappableToU64>(
&mut self,
field: Field,
fastfield_accessor: impl Column<T>,
idx: usize,
codec_types: &[FastFieldCodecType],
) -> io::Result<()> {
let field_write = self.composite_write.for_field_with_idx(field, idx);
fastfield_codecs::serialize(fastfield_accessor, field_write, codec_types)?;
Ok(())
}
/// Start serializing a new [u8] fast field. Use the returned writer to write data into the
/// bytes field. To associate the bytes with documents a seperate index must be created on
/// index 0. See bytes/writer.rs::serialize for an example.

View File

@@ -131,7 +131,7 @@ impl FastFieldsWriter {
.sum::<usize>()
}
/// Get the `FastFieldWriter` associated to a field.
/// Get the `FastFieldWriter` associated with a field.
pub fn get_term_id_writer(&self, field: Field) -> Option<&MultiValuedFastFieldWriter> {
// TODO optimize
self.term_id_writers
@@ -139,7 +139,7 @@ impl FastFieldsWriter {
.find(|field_writer| field_writer.field() == field)
}
/// Get the `FastFieldWriter` associated to a field.
/// Get the `FastFieldWriter` associated with a field.
pub fn get_field_writer(&self, field: Field) -> Option<&IntFastFieldWriter> {
// TODO optimize
self.single_value_writers
@@ -147,7 +147,7 @@ impl FastFieldsWriter {
.find(|field_writer| field_writer.field() == field)
}
/// Get the `FastFieldWriter` associated to a field.
/// Get the `FastFieldWriter` associated with a field.
pub fn get_field_writer_mut(&mut self, field: Field) -> Option<&mut IntFastFieldWriter> {
// TODO optimize
self.single_value_writers
@@ -155,7 +155,7 @@ impl FastFieldsWriter {
.find(|field_writer| field_writer.field() == field)
}
/// Get the `FastFieldWriter` associated to a field.
/// Get the `FastFieldWriter` associated with a field.
pub fn get_term_id_writer_mut(
&mut self,
field: Field,
@@ -294,7 +294,7 @@ impl IntFastFieldWriter {
/// Records a new value.
///
/// The n-th value being recorded is implicitly
/// associated to the document with the `DocId` n.
/// associated with the document with the `DocId` n.
/// (Well, `n-1` actually because of 0-indexing)
pub fn add_val(&mut self, val: u64) {
self.vals.add(val);
@@ -313,7 +313,7 @@ impl IntFastFieldWriter {
/// (or use the default value) and records it.
///
///
/// Extract the value associated to the fast field for
/// Extract the value associated with the fast field for
/// this document.
///
/// i64 and f64 are remapped to u64 using the logic
@@ -383,7 +383,7 @@ struct WriterFastFieldAccessProvider<'map, 'bitp> {
}
impl<'map, 'bitp> Column for WriterFastFieldAccessProvider<'map, 'bitp> {
/// Return the value associated to the given doc.
/// Return the value associated with the given doc.
///
/// Whenever possible use the Iterator passed to the fastfield creation instead, for performance
/// reasons.
@@ -391,15 +391,8 @@ impl<'map, 'bitp> Column for WriterFastFieldAccessProvider<'map, 'bitp> {
/// # Panics
///
/// May panic if `doc` is greater than the index.
fn get_val(&self, doc: u64) -> u64 {
if let Some(doc_id_map) = self.doc_id_map {
self.vals
.get(doc_id_map.get_old_doc_id(doc as u32) as usize) // consider extra
// FastFieldReader wrapper for
// non doc_id_map
} else {
self.vals.get(doc as usize)
}
fn get_val(&self, _doc: u64) -> u64 {
unimplemented!()
}
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {

View File

@@ -1,4 +1,4 @@
//! The fieldnorm represents the length associated to
//! The fieldnorm represents the length associated with
//! a given Field of a given document.
//!
//! This metric is important to compute the score of a

View File

@@ -47,9 +47,9 @@ impl FieldNormReaders {
}
}
/// Reads the fieldnorm associated to a document.
/// Reads the fieldnorm associated with a document.
///
/// The [fieldnorm](FieldNormReader::fieldnorm) represents the length associated to
/// The [fieldnorm](FieldNormReader::fieldnorm) represents the length associated with
/// a given Field of a given document.
#[derive(Clone)]
pub struct FieldNormReader(ReaderImplEnum);
@@ -104,7 +104,7 @@ impl FieldNormReader {
}
}
/// Returns the `fieldnorm` associated to a doc id.
/// Returns the `fieldnorm` associated with a doc id.
/// The fieldnorm is a value approximating the number
/// of tokens in a given field of the `doc_id`.
///
@@ -123,7 +123,7 @@ impl FieldNormReader {
}
}
/// Returns the `fieldnorm_id` associated to a document.
/// Returns the `fieldnorm_id` associated with a document.
#[inline]
pub fn fieldnorm_id(&self, doc_id: DocId) -> u8 {
match &self.0 {

View File

@@ -188,7 +188,7 @@ impl DeleteCursor {
}
}
#[cfg_attr(feature = "cargo-clippy", allow(clippy::wrong_self_convention))]
#[allow(clippy::wrong_self_convention)]
fn is_behind_opstamp(&mut self, target_opstamp: Opstamp) -> bool {
self.get()
.map(|operation| operation.opstamp < target_opstamp)
@@ -246,18 +246,27 @@ impl DeleteCursor {
mod tests {
use super::{DeleteOperation, DeleteQueue};
use crate::schema::{Field, Term};
use crate::query::{Explanation, Scorer, Weight};
use crate::{DocId, Score, SegmentReader};
struct DummyWeight;
impl Weight for DummyWeight {
fn scorer(&self, _reader: &SegmentReader, _boost: Score) -> crate::Result<Box<dyn Scorer>> {
Err(crate::TantivyError::InternalError("dummy impl".to_owned()))
}
fn explain(&self, _reader: &SegmentReader, _doc: DocId) -> crate::Result<Explanation> {
Err(crate::TantivyError::InternalError("dummy impl".to_owned()))
}
}
#[test]
fn test_deletequeue() {
let delete_queue = DeleteQueue::new();
let make_op = |i: usize| {
let field = Field::from_field_id(1u32);
DeleteOperation {
opstamp: i as u64,
term: Term::from_field_u64(field, i as u64),
}
let make_op = |i: usize| DeleteOperation {
opstamp: i as u64,
target: Box::new(DummyWeight),
};
delete_queue.push(make_op(1));

View File

@@ -24,7 +24,7 @@ impl SegmentDocIdMapping {
/// Returns an iterator over the old document addresses, ordered by the new document ids.
///
/// In the returned `DocAddress`, the `segment_ord` is the ordinal of targetted segment
/// In the returned `DocAddress`, the `segment_ord` is the ordinal of targeted segment
/// in the list of merged segments.
pub(crate) fn iter_old_doc_addrs(&self) -> impl Iterator<Item = DocAddress> + '_ {
self.new_doc_id_to_old_doc_addr.iter().copied()
@@ -34,10 +34,6 @@ impl SegmentDocIdMapping {
self.new_doc_id_to_old_doc_addr.len()
}
pub(crate) fn get_old_doc_addr(&self, new_doc_id: DocId) -> DocAddress {
self.new_doc_id_to_old_doc_addr[new_doc_id as usize]
}
/// This flags means the segments are simply stacked in the order of their ordinal.
/// e.g. [(0, 1), .. (n, 1), (0, 2)..., (m, 2)]
///

View File

@@ -0,0 +1,69 @@
pub struct FlatMapWithBuffer<T, F, Iter> {
buffer: Vec<T>,
fill_buffer: F,
underlying_it: Iter,
}
impl<T, F, Iter, I> Iterator for FlatMapWithBuffer<T, F, Iter>
where
Iter: Iterator<Item = I>,
F: Fn(I, &mut Vec<T>),
{
type Item = T;
fn next(&mut self) -> Option<Self::Item> {
while self.buffer.is_empty() {
let next_el = self.underlying_it.next()?;
(self.fill_buffer)(next_el, &mut self.buffer);
// We will pop elements, so we reverse the buffer first.
self.buffer.reverse();
}
self.buffer.pop()
}
}
pub trait FlatMapWithBufferIter: Iterator {
/// Function similar to `flat_map`, but allows reusing a shared `Vec`.
fn flat_map_with_buffer<F, T>(self, fill_buffer: F) -> FlatMapWithBuffer<T, F, Self>
where
F: Fn(Self::Item, &mut Vec<T>),
Self: Sized,
{
FlatMapWithBuffer {
buffer: Vec::with_capacity(10),
fill_buffer,
underlying_it: self,
}
}
}
impl<T: ?Sized> FlatMapWithBufferIter for T where T: Iterator {}
#[cfg(test)]
mod tests {
use crate::indexer::flat_map_with_buffer::FlatMapWithBufferIter;
#[test]
fn test_flat_map_with_buffer_empty() {
let mut empty_iter = std::iter::empty::<usize>()
.flat_map_with_buffer(|_val: usize, _buffer: &mut Vec<usize>| {});
assert!(empty_iter.next().is_none());
}
#[test]
fn test_flat_map_with_buffer_simple() {
let vals: Vec<usize> = (1..5)
.flat_map_with_buffer(|val: usize, buffer: &mut Vec<usize>| buffer.extend(0..val))
.collect();
assert_eq!(&[0, 0, 1, 0, 1, 2, 0, 1, 2, 3], &vals[..]);
}
#[test]
fn test_flat_map_filling_no_elements_does_not_stop_iterator() {
let vals: Vec<usize> = [2, 0, 0, 3]
.into_iter()
.flat_map_with_buffer(|val: usize, buffer: &mut Vec<usize>| buffer.extend(0..val))
.collect();
assert_eq!(&[0, 1, 0, 1, 2], &vals[..]);
}
}

View File

@@ -11,7 +11,6 @@ use super::segment_updater::SegmentUpdater;
use super::{AddBatch, AddBatchReceiver, AddBatchSender, PreparedCommit};
use crate::core::{Index, Segment, SegmentComponent, SegmentId, SegmentMeta, SegmentReader};
use crate::directory::{DirectoryLock, GarbageCollectionResult, TerminatingWrite};
use crate::docset::{DocSet, TERMINATED};
use crate::error::TantivyError;
use crate::fastfield::write_alive_bitset;
use crate::indexer::delete_queue::{DeleteCursor, DeleteQueue};
@@ -20,8 +19,9 @@ use crate::indexer::index_writer_status::IndexWriterStatus;
use crate::indexer::operation::DeleteOperation;
use crate::indexer::stamper::Stamper;
use crate::indexer::{MergePolicy, SegmentEntry, SegmentWriter};
use crate::query::{Query, TermQuery};
use crate::schema::{Document, IndexRecordOption, Term};
use crate::{FutureResult, Opstamp};
use crate::{FutureResult, IndexReader, Opstamp};
// Size of the margin for the `memory_arena`. A segment is closed when the remaining memory
// in the `memory_arena` goes below MARGIN_IN_BYTES.
@@ -57,6 +57,7 @@ pub struct IndexWriter {
_directory_lock: Option<DirectoryLock>,
index: Index,
index_reader: IndexReader,
memory_arena_in_bytes_per_thread: usize,
@@ -92,19 +93,14 @@ fn compute_deleted_bitset(
// A delete operation should only affect
// document that were inserted before it.
let inverted_index = segment_reader.inverted_index(delete_op.term.field())?;
if let Some(mut docset) =
inverted_index.read_postings(&delete_op.term, IndexRecordOption::Basic)?
{
let mut doc_matching_deleted_term = docset.doc();
while doc_matching_deleted_term != TERMINATED {
if doc_opstamps.is_deleted(doc_matching_deleted_term, delete_op.opstamp) {
alive_bitset.remove(doc_matching_deleted_term);
delete_op
.target
.for_each(segment_reader, &mut |doc_matching_delete_query, _| {
if doc_opstamps.is_deleted(doc_matching_delete_query, delete_op.opstamp) {
alive_bitset.remove(doc_matching_delete_query);
might_have_changed = true;
}
doc_matching_deleted_term = docset.advance();
}
}
})?;
delete_cursor.advance();
}
Ok(might_have_changed)
@@ -302,6 +298,7 @@ impl IndexWriter {
memory_arena_in_bytes_per_thread,
index: index.clone(),
index_reader: index.reader()?,
index_writer_status: IndexWriterStatus::from(document_receiver),
operation_sender: document_sender,
@@ -373,9 +370,9 @@ impl IndexWriter {
/// This method is useful only for users trying to do complex
/// operations, like converting an index format to another.
///
/// It is safe to start writing file associated to the new `Segment`.
/// It is safe to start writing file associated with the new `Segment`.
/// These will not be garbage collected as long as an instance object of
/// `SegmentMeta` object associated to the new `Segment` is "alive".
/// `SegmentMeta` object associated with the new `Segment` is "alive".
pub fn new_segment(&self) -> Segment {
self.index.new_segment()
}
@@ -666,10 +663,33 @@ impl IndexWriter {
/// Like adds, the deletion itself will be visible
/// only after calling `commit()`.
pub fn delete_term(&self, term: Term) -> Opstamp {
let query = TermQuery::new(term, IndexRecordOption::Basic);
// For backward compatibility, if Term is invalid for the index, do nothing but return an
// Opstamp
self.delete_query(Box::new(query))
.unwrap_or_else(|_| self.stamper.stamp())
}
/// Delete all documents matching a given query.
/// Returns an `Err` if the query can't be executed.
///
/// Delete operation only affects documents that
/// were added in previous commits, and documents
/// that were added previously in the same commit.
///
/// Like adds, the deletion itself will be visible
/// only after calling `commit()`.
#[doc(hidden)]
pub fn delete_query(&self, query: Box<dyn Query>) -> crate::Result<Opstamp> {
let weight = query.weight(&self.index_reader.searcher(), false)?;
let opstamp = self.stamper.stamp();
let delete_operation = DeleteOperation { opstamp, term };
let delete_operation = DeleteOperation {
opstamp,
target: weight,
};
self.delete_queue.push(delete_operation);
opstamp
Ok(opstamp)
}
/// Returns the opstamp of the last successful commit.
@@ -738,10 +758,17 @@ impl IndexWriter {
let (batch_opstamp, stamps) = self.get_batch_opstamps(count);
let mut adds = AddBatch::default();
for (user_op, opstamp) in user_operations_it.zip(stamps) {
match user_op {
UserOperation::Delete(term) => {
let delete_operation = DeleteOperation { opstamp, term };
let query = TermQuery::new(term, IndexRecordOption::Basic);
let weight = query.weight(&self.index_reader.searcher(), false)?;
let delete_operation = DeleteOperation {
opstamp,
target: weight,
};
self.delete_queue.push(delete_operation);
}
UserOperation::Add(document) => {
@@ -786,7 +813,7 @@ mod tests {
use crate::directory::error::LockError;
use crate::error::*;
use crate::indexer::NoMergePolicy;
use crate::query::{QueryParser, TermQuery};
use crate::query::{BooleanQuery, Occur, Query, QueryParser, TermQuery};
use crate::schema::{
self, Cardinality, Facet, FacetOptions, IndexRecordOption, NumericOptions,
TextFieldIndexing, TextOptions, FAST, INDEXED, STORED, STRING, TEXT,
@@ -1368,6 +1395,35 @@ mod tests {
assert!(commit_again.is_ok());
}
#[test]
fn test_sort_by_multivalue_field_error() -> crate::Result<()> {
let mut schema_builder = schema::Schema::builder();
let options = NumericOptions::default().set_fast(Cardinality::MultiValues);
schema_builder.add_u64_field("id", options);
let schema = schema_builder.build();
let settings = IndexSettings {
sort_by_field: Some(IndexSortByField {
field: "id".to_string(),
order: Order::Desc,
}),
..Default::default()
};
let err = Index::builder()
.schema(schema)
.settings(settings)
.create_in_ram()
.unwrap_err();
assert_eq!(
err.to_string(),
"An invalid argument was passed: 'Only single value fast field Cardinality supported \
for sorting index id'"
);
Ok(())
}
#[test]
fn test_delete_with_sort_by_field() -> crate::Result<()> {
let mut schema_builder = schema::Schema::builder();
@@ -1418,10 +1474,72 @@ mod tests {
Ok(())
}
#[test]
fn test_delete_query_with_sort_by_field() -> crate::Result<()> {
let mut schema_builder = schema::Schema::builder();
let id_field =
schema_builder.add_u64_field("id", schema::INDEXED | schema::STORED | schema::FAST);
let schema = schema_builder.build();
let settings = IndexSettings {
sort_by_field: Some(IndexSortByField {
field: "id".to_string(),
order: Order::Desc,
}),
..Default::default()
};
let index = Index::builder()
.schema(schema)
.settings(settings)
.create_in_ram()?;
let index_reader = index.reader()?;
let mut index_writer = index.writer_for_tests()?;
// create and delete docs in same commit
for id in 0u64..5u64 {
index_writer.add_document(doc!(id_field => id))?;
}
for id in 1u64..4u64 {
let term = Term::from_field_u64(id_field, id);
let not_term = Term::from_field_u64(id_field, 2);
let term = Box::new(TermQuery::new(term, Default::default()));
let not_term = Box::new(TermQuery::new(not_term, Default::default()));
let query: BooleanQuery = vec![
(Occur::Must, term as Box<dyn Query>),
(Occur::MustNot, not_term as Box<dyn Query>),
]
.into();
index_writer.delete_query(Box::new(query))?;
}
for id in 5u64..10u64 {
index_writer.add_document(doc!(id_field => id))?;
}
index_writer.commit()?;
index_reader.reload()?;
let searcher = index_reader.searcher();
assert_eq!(searcher.segment_readers().len(), 1);
let segment_reader = searcher.segment_reader(0);
assert_eq!(segment_reader.num_docs(), 8);
assert_eq!(segment_reader.max_doc(), 10);
let fast_field_reader = segment_reader.fast_fields().u64(id_field)?;
let in_order_alive_ids: Vec<u64> = segment_reader
.doc_ids_alive()
.map(|doc| fast_field_reader.get_val(doc as u64))
.collect();
assert_eq!(&in_order_alive_ids[..], &[9, 8, 7, 6, 5, 4, 2, 0]);
Ok(())
}
#[derive(Debug, Clone, Copy)]
enum IndexingOp {
AddDoc { id: u64 },
DeleteDoc { id: u64 },
DeleteDocQuery { id: u64 },
Commit,
Merge,
}
@@ -1429,6 +1547,7 @@ mod tests {
fn balanced_operation_strategy() -> impl Strategy<Value = IndexingOp> {
prop_oneof![
(0u64..20u64).prop_map(|id| IndexingOp::DeleteDoc { id }),
(0u64..20u64).prop_map(|id| IndexingOp::DeleteDocQuery { id }),
(0u64..20u64).prop_map(|id| IndexingOp::AddDoc { id }),
(0u64..1u64).prop_map(|_| IndexingOp::Commit),
(0u64..1u64).prop_map(|_| IndexingOp::Merge),
@@ -1437,7 +1556,8 @@ mod tests {
fn adding_operation_strategy() -> impl Strategy<Value = IndexingOp> {
prop_oneof![
10 => (0u64..100u64).prop_map(|id| IndexingOp::DeleteDoc { id }),
5 => (0u64..100u64).prop_map(|id| IndexingOp::DeleteDoc { id }),
5 => (0u64..100u64).prop_map(|id| IndexingOp::DeleteDocQuery { id }),
50 => (0u64..100u64).prop_map(|id| IndexingOp::AddDoc { id }),
2 => (0u64..1u64).prop_map(|_| IndexingOp::Commit),
1 => (0u64..1u64).prop_map(|_| IndexingOp::Merge),
@@ -1457,6 +1577,10 @@ mod tests {
existing_ids.remove(&id);
deleted_ids.insert(id);
}
IndexingOp::DeleteDocQuery { id } => {
existing_ids.remove(&id);
deleted_ids.insert(id);
}
_ => {}
}
}
@@ -1539,6 +1663,11 @@ mod tests {
IndexingOp::DeleteDoc { id } => {
index_writer.delete_term(Term::from_field_u64(id_field, id));
}
IndexingOp::DeleteDocQuery { id } => {
let term = Term::from_field_u64(id_field, id);
let query = TermQuery::new(term, Default::default());
index_writer.delete_query(Box::new(query))?;
}
IndexingOp::Commit => {
index_writer.commit()?;
}

View File

@@ -6,16 +6,18 @@ use fastfield_codecs::VecColumn;
use itertools::Itertools;
use measure_time::debug_time;
use super::sorted_doc_id_multivalue_column::RemappedDocIdMultiValueIndexColumn;
use crate::core::{Segment, SegmentReader};
use crate::docset::{DocSet, TERMINATED};
use crate::error::DataCorruption;
use crate::fastfield::{
AliveBitSet, Column, CompositeFastFieldSerializer, MultiValueLength, MultiValuedFastFieldReader,
get_fastfield_codecs_for_multivalue, AliveBitSet, Column, CompositeFastFieldSerializer,
MultiValueLength, MultiValuedFastFieldReader,
};
use crate::fieldnorm::{FieldNormReader, FieldNormReaders, FieldNormsSerializer, FieldNormsWriter};
use crate::indexer::doc_id_mapping::{expect_field_id_for_sort_field, SegmentDocIdMapping};
use crate::indexer::sorted_doc_id_column::SortedDocIdColumn;
use crate::indexer::sorted_doc_id_multivalue_column::SortedDocIdMultiValueColumn;
use crate::indexer::sorted_doc_id_column::RemappedDocIdColumn;
use crate::indexer::sorted_doc_id_multivalue_column::RemappedDocIdMultiValueColumn;
use crate::indexer::SegmentSerializer;
use crate::postings::{InvertedIndexSerializer, Postings, SegmentPostings};
use crate::schema::{Cardinality, Field, FieldType, Schema};
@@ -310,7 +312,7 @@ impl IndexMerger {
fast_field_serializer: &mut CompositeFastFieldSerializer,
doc_id_mapping: &SegmentDocIdMapping,
) -> crate::Result<()> {
let fast_field_accessor = SortedDocIdColumn::new(&self.readers, doc_id_mapping, field);
let fast_field_accessor = RemappedDocIdColumn::new(&self.readers, doc_id_mapping, field);
fast_field_serializer.create_auto_detect_u64_fast_field(field, fast_field_accessor)?;
Ok(())
@@ -423,33 +425,17 @@ impl IndexMerger {
// Creating the index file to point into the data, generic over `BytesFastFieldReader` and
// `MultiValuedFastFieldReader`
//
fn write_1_n_fast_field_idx_generic<T: MultiValueLength>(
fn write_1_n_fast_field_idx_generic<T: MultiValueLength + Send + Sync>(
field: Field,
fast_field_serializer: &mut CompositeFastFieldSerializer,
doc_id_mapping: &SegmentDocIdMapping,
reader_and_field_accessors: &[(&SegmentReader, T)],
) -> crate::Result<Vec<u64>> {
// We can now create our `idx` serializer, and in a second pass,
// can effectively push the different indexes.
segment_and_ff_readers: &[(&SegmentReader, T)],
) -> crate::Result<()> {
let column =
RemappedDocIdMultiValueIndexColumn::new(segment_and_ff_readers, doc_id_mapping);
// copying into a temp vec is not ideal, but the fast field codec api requires random
// access, which is used in the estimation. It's possible to 1. calculate random
// access on the fly or 2. change the codec api to make random access optional, but
// they both have also major drawbacks.
let mut offsets = Vec::with_capacity(doc_id_mapping.len());
let mut offset = 0;
for old_doc_addr in doc_id_mapping.iter_old_doc_addrs() {
let reader = &reader_and_field_accessors[old_doc_addr.segment_ord as usize].1;
offsets.push(offset);
offset += reader.get_len(old_doc_addr.doc_id) as u64;
}
offsets.push(offset);
let fastfield_accessor = VecColumn::from(&offsets[..]);
fast_field_serializer.create_auto_detect_u64_fast_field(field, fastfield_accessor)?;
Ok(offsets)
fast_field_serializer.create_auto_detect_u64_fast_field(field, column)?;
Ok(())
}
/// Returns the fastfield index (index for the data, not the data).
fn write_multi_value_fast_field_idx(
@@ -457,8 +443,8 @@ impl IndexMerger {
field: Field,
fast_field_serializer: &mut CompositeFastFieldSerializer,
doc_id_mapping: &SegmentDocIdMapping,
) -> crate::Result<Vec<u64>> {
let reader_ordinal_and_field_accessors = self
) -> crate::Result<()> {
let segment_and_ff_readers = self
.readers
.iter()
.map(|reader| {
@@ -477,7 +463,7 @@ impl IndexMerger {
field,
fast_field_serializer,
doc_id_mapping,
&reader_ordinal_and_field_accessors,
&segment_and_ff_readers,
)
}
@@ -526,7 +512,12 @@ impl IndexMerger {
}
let col = VecColumn::from(&vals[..]);
fast_field_serializer.create_auto_detect_u64_fast_field_with_idx(field, col, 1)?;
fast_field_serializer.create_auto_detect_u64_fast_field_with_idx_and_codecs(
field,
col,
1,
&get_fastfield_codecs_for_multivalue(),
)?;
}
Ok(())
}
@@ -561,20 +552,21 @@ impl IndexMerger {
fast_field_serializer: &mut CompositeFastFieldSerializer,
doc_id_mapping: &SegmentDocIdMapping,
) -> crate::Result<()> {
// Multifastfield consists in 2 fastfields.
// Multifastfield consists of 2 fastfields.
// The first serves as an index into the second one and is strictly increasing.
// The second contains the actual values.
// First we merge the idx fast field.
let offsets =
self.write_multi_value_fast_field_idx(field, fast_field_serializer, doc_id_mapping)?;
self.write_multi_value_fast_field_idx(field, fast_field_serializer, doc_id_mapping)?;
let fastfield_accessor =
SortedDocIdMultiValueColumn::new(&self.readers, doc_id_mapping, &offsets, field);
fast_field_serializer.create_auto_detect_u64_fast_field_with_idx(
RemappedDocIdMultiValueColumn::new(&self.readers, doc_id_mapping, field);
fast_field_serializer.create_auto_detect_u64_fast_field_with_idx_and_codecs(
field,
fastfield_accessor,
1,
&get_fastfield_codecs_for_multivalue(),
)?;
Ok(())
@@ -586,7 +578,7 @@ impl IndexMerger {
fast_field_serializer: &mut CompositeFastFieldSerializer,
doc_id_mapping: &SegmentDocIdMapping,
) -> crate::Result<()> {
let reader_and_field_accessors = self
let segment_and_ff_readers = self
.readers
.iter()
.map(|reader| {
@@ -597,17 +589,17 @@ impl IndexMerger {
(reader, bytes_reader)
})
.collect::<Vec<_>>();
Self::write_1_n_fast_field_idx_generic(
field,
fast_field_serializer,
doc_id_mapping,
&reader_and_field_accessors,
&segment_and_ff_readers,
)?;
let mut serialize_vals = fast_field_serializer.new_bytes_fast_field(field);
for old_doc_addr in doc_id_mapping.iter_old_doc_addrs() {
let bytes_reader = &reader_and_field_accessors[old_doc_addr.segment_ord as usize].1;
let bytes_reader = &segment_and_ff_readers[old_doc_addr.segment_ord as usize].1;
let val = bytes_reader.get_bytes(old_doc_addr.doc_id);
serialize_vals.write_all(val)?;
}

View File

@@ -3,6 +3,7 @@ pub mod delete_queue;
pub mod demuxer;
pub mod doc_id_mapping;
mod doc_opstamp_mapping;
mod flat_map_with_buffer;
pub mod index_writer;
mod index_writer_status;
mod json_term_writer;

View File

@@ -1,20 +1,11 @@
use crate::query::Weight;
use crate::schema::{Document, Term};
use crate::Opstamp;
/// Timestamped Delete operation.
#[derive(Clone, Eq, PartialEq, Debug)]
pub struct DeleteOperation {
pub opstamp: Opstamp,
pub term: Term,
}
impl Default for DeleteOperation {
fn default() -> Self {
DeleteOperation {
opstamp: 0u64,
term: Term::new(),
}
}
pub target: Box<dyn Weight>,
}
/// Timestamped Add operation.

View File

@@ -17,7 +17,7 @@ impl<'a> PreparedCommit<'a> {
}
}
/// Returns the opstamp associated to the prepared commit.
/// Returns the opstamp associated with the prepared commit.
pub fn opstamp(&self) -> Opstamp {
self.opstamp
}

View File

@@ -24,12 +24,25 @@ impl SegmentSerializer {
// In the merge case this is not necessary because we can kmerge the already sorted
// segments
let remapping_required = segment.index().settings().sort_by_field.is_some() && !is_in_merge;
let store_component = if remapping_required {
SegmentComponent::TempStore
let settings = segment.index().settings().clone();
let store_writer = if remapping_required {
let store_write = segment.open_write(SegmentComponent::TempStore)?;
StoreWriter::new(
store_write,
crate::store::Compressor::None,
0, // we want random access on the docs, so we choose a minimal block size. Every
// doc will get its own block.
settings.docstore_compress_dedicated_thread,
)?
} else {
SegmentComponent::Store
let store_write = segment.open_write(SegmentComponent::Store)?;
StoreWriter::new(
store_write,
settings.docstore_compression,
settings.docstore_blocksize,
settings.docstore_compress_dedicated_thread,
)?
};
let store_write = segment.open_write(store_component)?;
let fast_field_write = segment.open_write(SegmentComponent::FastFields)?;
let fast_field_serializer = CompositeFastFieldSerializer::from_write(fast_field_write)?;
@@ -38,13 +51,6 @@ impl SegmentSerializer {
let fieldnorms_serializer = FieldNormsSerializer::from_write(fieldnorms_write)?;
let postings_serializer = InvertedIndexSerializer::open(&mut segment)?;
let settings = segment.index().settings();
let store_writer = StoreWriter::new(
store_write,
settings.docstore_compression,
settings.docstore_blocksize,
settings.docstore_compress_dedicated_thread,
)?;
Ok(SegmentSerializer {
segment,
store_writer,

View File

@@ -133,15 +133,15 @@ fn merge(
/// Advanced: Merges a list of segments from different indices in a new index.
///
/// Returns `TantivyError` if the the indices list is empty or their
/// Returns `TantivyError` if the indices list is empty or their
/// schemas don't match.
///
/// `output_directory`: is assumed to be empty.
///
/// # Warning
/// This function does NOT check or take the `IndexWriter` is running. It is not
/// meant to work if you have an IndexWriter running for the origin indices, or
/// the destination Index.
/// meant to work if you have an `IndexWriter` running for the origin indices, or
/// the destination `Index`.
#[doc(hidden)]
pub fn merge_indices<T: Into<Box<dyn Directory>>>(
indices: &[Index],
@@ -179,15 +179,15 @@ pub fn merge_indices<T: Into<Box<dyn Directory>>>(
/// Advanced: Merges a list of segments from different indices in a new index.
/// Additional you can provide a delete bitset for each segment to ignore doc_ids.
///
/// Returns `TantivyError` if the the indices list is empty or their
/// Returns `TantivyError` if the indices list is empty or their
/// schemas don't match.
///
/// `output_directory`: is assumed to be empty.
///
/// # Warning
/// This function does NOT check or take the `IndexWriter` is running. It is not
/// meant to work if you have an IndexWriter running for the origin indices, or
/// the destination Index.
/// meant to work if you have an `IndexWriter` running for the origin indices, or
/// the destination `Index`.
#[doc(hidden)]
pub fn merge_filtered_segments<T: Into<Box<dyn Directory>>>(
segments: &[Segment],

View File

@@ -1,4 +1,5 @@
use fastfield_codecs::MonotonicallyMappableToU64;
use itertools::Itertools;
use super::doc_id_mapping::{get_doc_id_mapping_from_field, DocIdMapping};
use super::operation::AddOperation;
@@ -157,7 +158,13 @@ impl SegmentWriter {
fn index_document(&mut self, doc: &Document) -> crate::Result<()> {
let doc_id = self.max_doc;
for (field, values) in doc.get_sorted_field_values() {
let vals_grouped_by_field = doc
.field_values()
.iter()
.sorted_by_key(|el| el.field())
.group_by(|el| el.field());
for (field, field_values) in &vals_grouped_by_field {
let values = field_values.map(|field_value| field_value.value());
let field_entry = self.schema.get_field_entry(field);
let make_schema_error = || {
crate::TantivyError::SchemaError(format!(
@@ -198,24 +205,16 @@ impl SegmentWriter {
}
FieldType::Str(_) => {
let mut token_streams: Vec<BoxTokenStream> = vec![];
let mut offsets = vec![];
let mut total_offset = 0;
for value in values {
match value {
Value::PreTokStr(tok_str) => {
offsets.push(total_offset);
if let Some(last_token) = tok_str.tokens.last() {
total_offset += last_token.offset_to;
}
token_streams
.push(PreTokenizedStream::from(tok_str.clone()).into());
}
Value::Str(ref text) => {
let text_analyzer =
&self.per_field_text_analyzers[field.field_id() as usize];
offsets.push(total_offset);
total_offset += text.len();
token_streams.push(text_analyzer.token_stream(text));
}
_ => (),
@@ -284,9 +283,8 @@ impl SegmentWriter {
}
FieldType::JsonObject(_) => {
let text_analyzer = &self.per_field_text_analyzers[field.field_id() as usize];
let json_values_it = values
.iter()
.map(|value| value.as_json().ok_or_else(make_schema_error));
let json_values_it =
values.map(|value| value.as_json().ok_or_else(make_schema_error));
index_json_values(
doc_id,
json_values_it,
@@ -374,9 +372,9 @@ fn remap_and_write(
doc_id_map,
)?;
debug!("resort-docstore");
// finalize temp docstore and create version, which reflects the doc_id_map
if let Some(doc_id_map) = doc_id_map {
debug!("resort-docstore");
let store_write = serializer
.segment_mut()
.open_write(SegmentComponent::Store)?;
@@ -393,7 +391,8 @@ fn remap_and_write(
serializer
.segment()
.open_read(SegmentComponent::TempStore)?,
50,
1, /* The docstore is configured to have one doc per block, and each doc is accessed
* only once: we don't need caching. */
)?;
for old_doc_id in doc_id_map.iter_old_doc_ids() {
let doc_bytes = store_read.get_document_bytes(old_doc_id)?;

View File

@@ -5,9 +5,9 @@ use itertools::Itertools;
use crate::indexer::doc_id_mapping::SegmentDocIdMapping;
use crate::schema::Field;
use crate::{DocAddress, SegmentReader};
use crate::SegmentReader;
pub(crate) struct SortedDocIdColumn<'a> {
pub(crate) struct RemappedDocIdColumn<'a> {
doc_id_mapping: &'a SegmentDocIdMapping,
fast_field_readers: Vec<Arc<dyn Column<u64>>>,
min_value: u64,
@@ -37,7 +37,7 @@ fn compute_min_max_val(
.into_option()
}
impl<'a> SortedDocIdColumn<'a> {
impl<'a> RemappedDocIdColumn<'a> {
pub(crate) fn new(
readers: &'a [SegmentReader],
doc_id_mapping: &'a SegmentDocIdMapping,
@@ -68,7 +68,7 @@ impl<'a> SortedDocIdColumn<'a> {
})
.collect::<Vec<_>>();
SortedDocIdColumn {
RemappedDocIdColumn {
doc_id_mapping,
fast_field_readers,
min_value,
@@ -78,13 +78,9 @@ impl<'a> SortedDocIdColumn<'a> {
}
}
impl<'a> Column for SortedDocIdColumn<'a> {
fn get_val(&self, doc: u64) -> u64 {
let DocAddress {
doc_id,
segment_ord,
} = self.doc_id_mapping.get_old_doc_addr(doc as u32);
self.fast_field_readers[segment_ord as usize].get_val(doc_id as u64)
impl<'a> Column for RemappedDocIdColumn<'a> {
fn get_val(&self, _doc: u64) -> u64 {
unimplemented!()
}
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {

View File

@@ -2,26 +2,24 @@ use std::cmp;
use fastfield_codecs::Column;
use super::flat_map_with_buffer::FlatMapWithBufferIter;
use crate::fastfield::{MultiValueLength, MultiValuedFastFieldReader};
use crate::indexer::doc_id_mapping::SegmentDocIdMapping;
use crate::schema::Field;
use crate::{DocId, SegmentReader};
use crate::{DocAddress, SegmentReader};
// We can now initialize our serializer, and push it the different values
pub(crate) struct SortedDocIdMultiValueColumn<'a> {
pub(crate) struct RemappedDocIdMultiValueColumn<'a> {
doc_id_mapping: &'a SegmentDocIdMapping,
fast_field_readers: Vec<MultiValuedFastFieldReader<u64>>,
offsets: &'a [u64],
min_value: u64,
max_value: u64,
num_vals: u64,
}
impl<'a> SortedDocIdMultiValueColumn<'a> {
impl<'a> RemappedDocIdMultiValueColumn<'a> {
pub(crate) fn new(
readers: &'a [SegmentReader],
doc_id_mapping: &'a SegmentDocIdMapping,
offsets: &'a [u64],
field: Field,
) -> Self {
// Our values are bitpacked and we need to know what should be
@@ -58,10 +56,9 @@ impl<'a> SortedDocIdMultiValueColumn<'a> {
min_value = 0;
max_value = 0;
}
SortedDocIdMultiValueColumn {
RemappedDocIdMultiValueColumn {
doc_id_mapping,
fast_field_readers,
offsets,
min_value,
max_value,
num_vals: num_vals as u64,
@@ -69,41 +66,18 @@ impl<'a> SortedDocIdMultiValueColumn<'a> {
}
}
impl<'a> Column for SortedDocIdMultiValueColumn<'a> {
fn get_val(&self, pos: u64) -> u64 {
// use the offsets index to find the doc_id which will contain the position.
// the offsets are strictly increasing so we can do a simple search on it.
let new_doc_id: DocId = self
.offsets
.iter()
.position(|&offset| offset > pos)
.expect("pos is out of bounds") as DocId
- 1u32;
// now we need to find the position of `pos` in the multivalued bucket
let num_pos_covered_until_now = self.offsets[new_doc_id as usize];
let pos_in_values = pos - num_pos_covered_until_now;
let old_doc_addr = self.doc_id_mapping.get_old_doc_addr(new_doc_id);
let num_vals =
self.fast_field_readers[old_doc_addr.segment_ord as usize].get_len(old_doc_addr.doc_id);
assert!(num_vals >= pos_in_values);
let mut vals = Vec::new();
self.fast_field_readers[old_doc_addr.segment_ord as usize]
.get_vals(old_doc_addr.doc_id, &mut vals);
vals[pos_in_values as usize]
impl<'a> Column for RemappedDocIdMultiValueColumn<'a> {
fn get_val(&self, _pos: u64) -> u64 {
unimplemented!()
}
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
Box::new(
self.doc_id_mapping
.iter_old_doc_addrs()
.flat_map(|old_doc_addr| {
.flat_map_with_buffer(|old_doc_addr: DocAddress, buffer| {
let ff_reader = &self.fast_field_readers[old_doc_addr.segment_ord as usize];
let mut vals = Vec::new();
ff_reader.get_vals(old_doc_addr.doc_id, &mut vals);
vals.into_iter()
ff_reader.get_vals(old_doc_addr.doc_id, buffer);
}),
)
}
@@ -119,3 +93,76 @@ impl<'a> Column for SortedDocIdMultiValueColumn<'a> {
self.num_vals
}
}
pub(crate) struct RemappedDocIdMultiValueIndexColumn<'a, T: MultiValueLength> {
doc_id_mapping: &'a SegmentDocIdMapping,
multi_value_length_readers: Vec<&'a T>,
min_value: u64,
max_value: u64,
num_vals: u64,
}
impl<'a, T: MultiValueLength> RemappedDocIdMultiValueIndexColumn<'a, T> {
pub(crate) fn new(
segment_and_ff_readers: &'a [(&'a SegmentReader, T)],
doc_id_mapping: &'a SegmentDocIdMapping,
) -> Self {
// We go through a complete first pass to compute the minimum and the
// maximum value and initialize our Column.
let mut num_vals = 0;
let min_value = 0;
let mut max_value = 0;
let mut multi_value_length_readers = Vec::with_capacity(segment_and_ff_readers.len());
for segment_and_ff_reader in segment_and_ff_readers {
let segment_reader = segment_and_ff_reader.0;
let multi_value_length_reader = &segment_and_ff_reader.1;
if !segment_reader.has_deletes() {
max_value += multi_value_length_reader.get_total_len();
} else {
for doc in segment_reader.doc_ids_alive() {
max_value += multi_value_length_reader.get_len(doc);
}
}
num_vals += segment_reader.num_docs() as u64;
multi_value_length_readers.push(multi_value_length_reader);
}
Self {
doc_id_mapping,
multi_value_length_readers,
min_value,
max_value,
num_vals,
}
}
}
impl<'a, T: MultiValueLength + Send + Sync> Column for RemappedDocIdMultiValueIndexColumn<'a, T> {
fn get_val(&self, _pos: u64) -> u64 {
unimplemented!()
}
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
let mut offset = 0;
Box::new(
std::iter::once(0).chain(self.doc_id_mapping.iter_old_doc_addrs().map(
move |old_doc_addr| {
let ff_reader =
&self.multi_value_length_readers[old_doc_addr.segment_ord as usize];
offset += ff_reader.get_len(old_doc_addr.doc_id);
offset
},
)),
)
}
fn min_value(&self) -> u64 {
self.min_value
}
fn max_value(&self) -> u64 {
self.max_value
}
fn num_vals(&self) -> u64 {
self.num_vals
}
}

View File

@@ -106,7 +106,7 @@ impl BlockDecoder {
pub trait VIntEncoder {
/// Compresses an array of `u32` integers,
/// using [delta-encoding](https://en.wikipedia.org/wiki/Delta_ encoding)
/// using [delta-encoding](https://en.wikipedia.org/wiki/Delta_encoding)
/// and variable bytes encoding.
///
/// The method takes an array of ints to compress, and returns

View File

@@ -31,7 +31,7 @@ pub use self::term_info::TermInfo;
pub(crate) type UnorderedTermId = u64;
#[cfg_attr(feature = "cargo-clippy", allow(clippy::enum_variant_names))]
#[allow(clippy::enum_variant_names)]
#[derive(Debug, PartialEq, Clone, Copy, Eq)]
pub(crate) enum FreqReadingOption {
NoFreq,

View File

@@ -47,11 +47,11 @@ impl<'a> Iterator for VInt32Reader<'a> {
}
}
/// Recorder is in charge of recording relevant information about
/// `Recorder` is in charge of recording relevant information about
/// the presence of a term in a document.
///
/// Depending on the `TextIndexingOptions` associated to the
/// field, the recorder may records
/// Depending on the [`TextOptions`](crate::schema::TextOptions) associated
/// with the field, the recorder may record:
/// * the document frequency
/// * the document id
/// * the term frequency

View File

@@ -7,7 +7,7 @@ use crate::postings::compression::COMPRESSION_BLOCK_SIZE;
use crate::postings::{branchless_binary_search, BlockSegmentPostings, Postings};
use crate::{DocId, TERMINATED};
/// `SegmentPostings` represents the inverted list or postings associated to
/// `SegmentPostings` represents the inverted list or postings associated with
/// a term in a `Segment`.
///
/// As we iterate through the `SegmentPostings`, the frequencies are optionally decoded.
@@ -216,7 +216,7 @@ impl HasLen for SegmentPostings {
}
impl Postings for SegmentPostings {
/// Returns the frequency associated to the current document.
/// Returns the frequency associated with the current document.
/// If the schema is set up so that no frequency have been encoded,
/// this method should always return 1.
///

View File

@@ -199,7 +199,7 @@ impl TermHashMap {
/// `update` create a new entry for a given key if it does not exists
/// or updates the existing entry.
///
/// The actual logic for this update is define in the the `updater`
/// The actual logic for this update is define in the `updater`
/// argument.
///
/// If the key is not present, `updater` will receive `None` and

View File

@@ -4,7 +4,7 @@ use std::ops::Range;
use common::{BinarySerializable, FixedSize};
/// `TermInfo` wraps the metadata associated to a Term.
/// `TermInfo` wraps the metadata associated with a Term.
/// It is segment-local.
#[derive(Debug, Default, Eq, PartialEq, Clone)]
pub struct TermInfo {

View File

@@ -17,7 +17,7 @@ impl Query for AllQuery {
}
}
/// Weight associated to the `AllQuery` query.
/// Weight associated with the `AllQuery` query.
pub struct AllWeight;
impl Weight for AllWeight {
@@ -37,7 +37,7 @@ impl Weight for AllWeight {
}
}
/// Scorer associated to the `AllQuery` query.
/// Scorer associated with the `AllQuery` query.
pub struct AllScorer {
doc: DocId,
max_doc: DocId,

View File

@@ -14,7 +14,7 @@ use crate::DocId;
/// when the bitset is sparse
pub struct BitSetDocSet {
docs: BitSet,
cursor_bucket: u32, //< index associated to the current tiny bitset
cursor_bucket: u32, //< index associated with the current tiny bitset
cursor_tinybitset: TinySet,
doc: u32,
}

View File

@@ -144,7 +144,7 @@ fn advance_all_scorers_on_pivot(term_scorers: &mut Vec<TermScorerWithMaxScore>,
/// Implements the WAND (Weak AND) algorithm for dynamic pruning
/// described in the paper "Faster Top-k Document Retrieval Using Block-Max Indexes".
/// Link: http://engineering.nyu.edu/~suel/papers/bmw.pdf
/// Link: <http://engineering.nyu.edu/~suel/papers/bmw.pdf>
pub fn block_wand(
mut scorers: Vec<TermScorer>,
mut threshold: Score,

View File

@@ -174,9 +174,9 @@ impl<TScoreCombiner: ScoreCombiner + Sync> Weight for BooleanWeight<TScoreCombin
into_box_scorer(specialized_scorer, &self.score_combiner_fn)
})
} else {
self.complex_scorer(reader, boost, &DoNothingCombiner::default)
self.complex_scorer(reader, boost, DoNothingCombiner::default)
.map(|specialized_scorer| {
into_box_scorer(specialized_scorer, &DoNothingCombiner::default)
into_box_scorer(specialized_scorer, DoNothingCombiner::default)
})
}
}

View File

@@ -39,7 +39,7 @@ impl Explanation {
}
}
/// Returns the value associated to the current node.
/// Returns the value associated with the current node.
pub fn value(&self) -> Score {
self.value
}

View File

@@ -5,7 +5,7 @@ use crate::{DocId, Score};
/// Returns the intersection scorer.
///
/// The score associated to the documents is the sum of the
/// The score associated with the documents is the sum of the
/// score of the `Scorer`s given in argument.
///
/// For better performance, the function uses a

View File

@@ -21,6 +21,7 @@ mod range_query;
mod regex_query;
mod reqopt_scorer;
mod scorer;
mod set_query;
mod term_query;
mod union;
mod weight;
@@ -58,6 +59,7 @@ pub use self::score_combiner::{
DisjunctionMaxCombiner, ScoreCombiner, SumCombiner, SumWithCoordsCombiner,
};
pub use self::scorer::Scorer;
pub use self::set_query::TermSetQuery;
pub use self::term_query::TermQuery;
pub use self::union::Union;
#[cfg(test)]

View File

@@ -33,9 +33,9 @@ impl Ord for ScoreTerm {
}
}
/// A struct used as helper to build [`MoreLikeThisQuery`]
/// This more-like-this implementation is inspired by the Appache Lucene
/// amd closely follows the same implementation with adaptabtion to Tantivy vocabulary and API.
/// A struct used as helper to build [`MoreLikeThisQuery`](crate::query::MoreLikeThisQuery)
/// This more-like-this implementation is inspired by the Apache Lucene
/// and closely follows the same implementation with adaptation to Tantivy vocabulary and API.
///
/// [MoreLikeThis](https://github.com/apache/lucene/blob/main/lucene/queries/src/java/org/apache/lucene/queries/mlt/MoreLikeThis.java#L147)
/// [MoreLikeThisQuery](https://github.com/apache/lucene/blob/main/lucene/queries/src/java/org/apache/lucene/queries/mlt/MoreLikeThisQuery.java#L36)

View File

@@ -119,7 +119,7 @@ impl PhraseQuery {
}
impl Query for PhraseQuery {
/// Create the weight associated to a query.
/// Create the weight associated with a query.
///
/// See [`Weight`].
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {

View File

@@ -42,7 +42,7 @@ use crate::{DocAddress, Term};
/// [`Scorer`]: crate::query::Scorer
/// [`SegmentReader`]: crate::SegmentReader
pub trait Query: QueryClone + Send + Sync + downcast_rs::Downcast + fmt::Debug {
/// Create the weight associated to a query.
/// Create the weight associated with a query.
///
/// If scoring is not required, setting `scoring_enabled` to `false`
/// can increase performances.
@@ -67,7 +67,7 @@ pub trait Query: QueryClone + Send + Sync + downcast_rs::Downcast + fmt::Debug {
Ok(result)
}
/// Extract all of the terms associated to the query and pass them to the
/// Extract all of the terms associated with the query and pass them to the
/// given closure.
///
/// Each term is associated with a boolean indicating whether

View File

@@ -610,7 +610,7 @@ impl QueryParser {
if let Some((field, path)) = self.split_full_path(full_path) {
return Ok(vec![(field, path, literal.phrase.as_str())]);
}
// We need to add terms associated to json default fields.
// We need to add terms associated with json default fields.
let triplets: Vec<(Field, &str, &str)> = self
.default_indexed_json_fields()
.map(|json_field| (json_field, full_path.as_str(), literal.phrase.as_str()))

222
src/query/set_query.rs Normal file
View File

@@ -0,0 +1,222 @@
use std::collections::HashMap;
use tantivy_fst::raw::CompiledAddr;
use tantivy_fst::{Automaton, Map};
use crate::query::score_combiner::DoNothingCombiner;
use crate::query::{AutomatonWeight, BooleanWeight, Occur, Query, Weight};
use crate::schema::Field;
use crate::{Searcher, Term};
/// A Term Set Query matches all of the documents containing any of the Term provided
#[derive(Debug, Clone)]
pub struct TermSetQuery {
terms_map: HashMap<Field, Vec<Term>>,
}
impl TermSetQuery {
/// Create a Term Set Query
pub fn new<T: IntoIterator<Item = Term>>(terms: T) -> Self {
let mut terms_map: HashMap<_, Vec<_>> = HashMap::new();
for term in terms {
terms_map.entry(term.field()).or_default().push(term);
}
for terms in terms_map.values_mut() {
terms.sort_unstable();
terms.dedup();
}
TermSetQuery { terms_map }
}
fn specialized_weight(
&self,
searcher: &Searcher,
) -> crate::Result<BooleanWeight<DoNothingCombiner>> {
let mut sub_queries: Vec<(_, Box<dyn Weight>)> = Vec::with_capacity(self.terms_map.len());
for (&field, sorted_terms) in self.terms_map.iter() {
let field_entry = searcher.schema().get_field_entry(field);
let field_type = field_entry.field_type();
if !field_type.is_indexed() {
let error_msg = format!("Field {:?} is not indexed.", field_entry.name());
return Err(crate::TantivyError::SchemaError(error_msg));
}
// In practice this won't fail because:
// - we are writing to memory, so no IoError
// - Terms are ordered
let map = Map::from_iter(sorted_terms.iter().map(|key| (key.value_bytes(), 0)))
.map_err(|e| std::io::Error::new(std::io::ErrorKind::Other, e))?;
sub_queries.push((
Occur::Should,
Box::new(AutomatonWeight::new(field, SetDfaWrapper(map))),
));
}
Ok(BooleanWeight::new(
sub_queries,
false,
Box::new(|| DoNothingCombiner),
))
}
}
impl Query for TermSetQuery {
fn weight(
&self,
searcher: &Searcher,
_scoring_enabled: bool,
) -> crate::Result<Box<dyn Weight>> {
Ok(Box::new(self.specialized_weight(searcher)?))
}
}
struct SetDfaWrapper(Map<Vec<u8>>);
impl Automaton for SetDfaWrapper {
type State = Option<CompiledAddr>;
fn start(&self) -> Option<CompiledAddr> {
Some(self.0.as_ref().root().addr())
}
fn is_match(&self, state_opt: &Option<CompiledAddr>) -> bool {
if let Some(state) = state_opt {
self.0.as_ref().node(*state).is_final()
} else {
false
}
}
fn accept(&self, state_opt: &Option<CompiledAddr>, byte: u8) -> Option<CompiledAddr> {
let state = state_opt.as_ref()?;
let node = self.0.as_ref().node(*state);
let transition = node.find_input(byte)?;
Some(node.transition_addr(transition))
}
fn can_match(&self, state: &Self::State) -> bool {
state.is_some()
}
}
#[cfg(test)]
mod tests {
use crate::collector::TopDocs;
use crate::query::TermSetQuery;
use crate::schema::{Schema, TEXT};
use crate::{assert_nearly_equals, Index, Term};
#[test]
pub fn test_term_set_query() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let field1 = schema_builder.add_text_field("field1", TEXT);
let field2 = schema_builder.add_text_field("field1", TEXT);
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!(
field1 => "doc1",
field2 => "val1",
))?;
index_writer.add_document(doc!(
field1 => "doc2",
field2 => "val2",
))?;
index_writer.add_document(doc!(
field1 => "doc3",
field2 => "val3",
))?;
index_writer.add_document(doc!(
field1 => "val3",
field2 => "doc3",
))?;
index_writer.commit()?;
}
let reader = index.reader()?;
let searcher = reader.searcher();
{
// single element
let terms = vec![Term::from_field_text(field1, "doc1")];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(2))?;
assert_eq!(top_docs.len(), 1, "Expected 1 document");
let (score, _) = top_docs[0];
assert_nearly_equals!(1.0, score);
}
{
// single element, absent
let terms = vec![Term::from_field_text(field1, "doc4")];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(1))?;
assert!(top_docs.is_empty(), "Expected 0 document");
}
{
// multiple elements
let terms = vec![
Term::from_field_text(field1, "doc1"),
Term::from_field_text(field1, "doc2"),
];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(2))?;
assert_eq!(top_docs.len(), 2, "Expected 2 documents");
for (score, _) in top_docs {
assert_nearly_equals!(1.0, score);
}
}
{
// multiple elements, mixed fields
let terms = vec![
Term::from_field_text(field1, "doc1"),
Term::from_field_text(field1, "doc1"),
Term::from_field_text(field2, "val2"),
];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(3))?;
assert_eq!(top_docs.len(), 2, "Expected 2 document");
for (score, _) in top_docs {
assert_nearly_equals!(1.0, score);
}
}
{
// no field crosstalk
let terms = vec![Term::from_field_text(field1, "doc3")];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(3))?;
assert_eq!(top_docs.len(), 1, "Expected 1 document");
let terms = vec![Term::from_field_text(field2, "doc3")];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(3))?;
assert_eq!(top_docs.len(), 1, "Expected 1 document");
let terms = vec![
Term::from_field_text(field1, "doc3"),
Term::from_field_text(field2, "doc3"),
];
let term_set_query = TermSetQuery::new(terms);
let top_docs = searcher.search(&term_set_query, &TopDocs::with_limit(3))?;
assert_eq!(top_docs.len(), 2, "Expected 2 document");
}
Ok(())
}
}

View File

@@ -263,8 +263,7 @@ impl InnerIndexReader {
/// It controls when a new version of the index should be loaded and lends
/// you instances of `Searcher` for the last loaded version.
///
/// `Clone` does not clone the different pool of searcher. `IndexReader`
/// just wraps an `Arc`.
/// `IndexReader` just wraps an `Arc`.
#[derive(Clone)]
pub struct IndexReader {
inner: Arc<InnerIndexReader>,
@@ -294,9 +293,6 @@ impl IndexReader {
///
/// This method should be called every single time a search
/// query is performed.
/// The searchers are taken from a pool of `num_searchers` searchers.
/// If no searcher is available
/// this may block.
///
/// The same searcher must be used for a given query, as it ensures
/// the use of a consistent segment set.

View File

@@ -3,7 +3,7 @@ use std::ops::BitOr;
use serde::{Deserialize, Serialize};
use super::flags::{FastFlag, IndexedFlag, SchemaFlagList, StoredFlag};
/// Define how an a bytes field should be handled by tantivy.
/// Define how a bytes field should be handled by tantivy.
#[derive(Clone, Debug, Default, PartialEq, Eq, Serialize, Deserialize)]
#[serde(from = "BytesOptionsDeser")]
pub struct BytesOptions {
@@ -83,7 +83,7 @@ impl BytesOptions {
///
/// Fast fields are designed for random access.
/// Access time are similar to a random lookup in an array.
/// If more than one value is associated to a fast field, only the last one is
/// If more than one value is associated with a fast field, only the last one is
/// kept.
#[must_use]
pub fn set_fast(mut self) -> BytesOptions {

View File

@@ -104,7 +104,7 @@ impl DateOptions {
///
/// Fast fields are designed for random access.
/// Access time are similar to a random lookup in an array.
/// If more than one value is associated to a fast field, only the last one is
/// If more than one value is associated with a fast field, only the last one is
/// kept.
#[must_use]
pub fn set_fast(mut self, cardinality: Cardinality) -> DateOptions {

View File

@@ -35,7 +35,7 @@ pub enum FacetParseError {
/// For instance, an e-commerce website could
/// have a `Facet` for `/electronics/tv_and_video/led_tv`.
///
/// A document can be associated to any number of facets.
/// A document can be associated with any number of facets.
/// The hierarchy implicitly imply that a document
/// belonging to a facet also belongs to the ancestor of
/// its facet. In the example above, `/electronics/tv_and_video/`

View File

@@ -2,6 +2,7 @@ use serde::{Deserialize, Serialize};
use serde_json::Value as JsonValue;
use thiserror::Error;
use super::Cardinality;
use crate::schema::bytes_options::BytesOptions;
use crate::schema::facet_options::FacetOptions;
use crate::schema::{
@@ -214,6 +215,26 @@ impl FieldType {
}
}
/// returns true if the field is fast.
pub fn fastfield_cardinality(&self) -> Option<Cardinality> {
match *self {
FieldType::Bytes(ref bytes_options) if bytes_options.is_fast() => {
Some(Cardinality::SingleValue)
}
FieldType::Str(ref text_options) if text_options.is_fast() => {
Some(Cardinality::MultiValues)
}
FieldType::U64(ref int_options)
| FieldType::I64(ref int_options)
| FieldType::F64(ref int_options)
| FieldType::Bool(ref int_options) => int_options.get_fastfield_cardinality(),
FieldType::Date(ref date_options) => date_options.get_fastfield_cardinality(),
FieldType::Facet(_) => Some(Cardinality::MultiValues),
FieldType::JsonObject(_) => None,
_ => None,
}
}
/// returns true if the field is normed (see [fieldnorms](crate::fieldnorm)).
pub fn has_fieldnorms(&self) -> bool {
match *self {

109
src/schema/ip_options.rs Normal file
View File

@@ -0,0 +1,109 @@
use std::ops::BitOr;
use serde::{Deserialize, Serialize};
use super::flags::{FastFlag, IndexedFlag, SchemaFlagList, StoredFlag};
use super::Cardinality;
/// Define how an ip field should be handled by tantivy.
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, Default)]
pub struct IpOptions {
#[serde(skip_serializing_if = "Option::is_none")]
fast: Option<Cardinality>,
stored: bool,
}
impl IpOptions {
/// Returns true iff the value is a fast field.
pub fn is_fast(&self) -> bool {
self.fast.is_some()
}
/// Returns `true` if the json object should be stored.
pub fn is_stored(&self) -> bool {
self.stored
}
/// Returns the cardinality of the fastfield.
///
/// If the field has not been declared as a fastfield, then
/// the method returns None.
pub fn get_fastfield_cardinality(&self) -> Option<Cardinality> {
self.fast
}
/// Sets the field as stored
#[must_use]
pub fn set_stored(mut self) -> Self {
self.stored = true;
self
}
/// Set the field as a fast field.
///
/// Fast fields are designed for random access.
/// Access time are similar to a random lookup in an array.
/// If more than one value is associated with a fast field, only the last one is
/// kept.
#[must_use]
pub fn set_fast(mut self, cardinality: Cardinality) -> Self {
self.fast = Some(cardinality);
self
}
}
impl From<()> for IpOptions {
fn from(_: ()) -> IpOptions {
IpOptions::default()
}
}
impl From<FastFlag> for IpOptions {
fn from(_: FastFlag) -> Self {
IpOptions {
stored: false,
fast: Some(Cardinality::SingleValue),
}
}
}
impl From<StoredFlag> for IpOptions {
fn from(_: StoredFlag) -> Self {
IpOptions {
stored: true,
fast: None,
}
}
}
impl From<IndexedFlag> for IpOptions {
fn from(_: IndexedFlag) -> Self {
IpOptions {
stored: false,
fast: None,
}
}
}
impl<T: Into<IpOptions>> BitOr<T> for IpOptions {
type Output = IpOptions;
fn bitor(self, other: T) -> IpOptions {
let other = other.into();
IpOptions {
stored: self.stored | other.stored,
fast: self.fast.or(other.fast),
}
}
}
impl<Head, Tail> From<SchemaFlagList<Head, Tail>> for IpOptions
where
Head: Clone,
Tail: Clone,
Self: BitOr<Output = Self> + From<Head> + From<Tail>,
{
fn from(head_tail: SchemaFlagList<Head, Tail>) -> Self {
Self::from(head_tail.head) | Self::from(head_tail.tail)
}
}

View File

@@ -28,10 +28,10 @@
//! use tantivy::schema::*;
//! let mut schema_builder = Schema::builder();
//! let title_options = TextOptions::default()
//! .set_stored()
//! .set_indexing_options(TextFieldIndexing::default()
//! .set_tokenizer("default")
//! .set_index_option(IndexRecordOption::WithFreqsAndPositions));
//! .set_stored()
//! .set_indexing_options(TextFieldIndexing::default()
//! .set_tokenizer("default")
//! .set_index_option(IndexRecordOption::WithFreqsAndPositions));
//! schema_builder.add_text_field("title", title_options);
//! let schema = schema_builder.build();
//! ```
@@ -45,8 +45,7 @@
//! In the first phase, the ability to search for documents by the given field is determined by the
//! [`IndexRecordOption`] of our [`TextOptions`].
//!
//! The effect of each possible setting is described more in detail
//! [`TextIndexingOptions`](enum.TextIndexingOptions.html).
//! The effect of each possible setting is described more in detail in [`TextOptions`].
//!
//! On the other hand setting the field as stored or not determines whether the field should be
//! returned when [`Searcher::doc()`](crate::Searcher::doc) is called.
@@ -60,8 +59,8 @@
//! use tantivy::schema::*;
//! let mut schema_builder = Schema::builder();
//! let num_stars_options = NumericOptions::default()
//! .set_stored()
//! .set_indexed();
//! .set_stored()
//! .set_indexed();
//! schema_builder.add_u64_field("num_stars", num_stars_options);
//! let schema = schema_builder.build();
//! ```
@@ -79,8 +78,8 @@
//! For convenience, it is possible to define your field indexing options by combining different
//! flags using the `|` operator.
//!
//! For instance, a schema containing the two fields defined in the example above could be rewritten
//! :
//! For instance, a schema containing the two fields defined in the example above could be
//! rewritten:
//!
//! ```
//! use tantivy::schema::*;
@@ -120,6 +119,7 @@ mod date_time_options;
mod field;
mod flags;
mod index_record_option;
mod ip_options;
mod json_object_options;
mod named_field_document;
mod numeric_options;
@@ -138,6 +138,7 @@ pub use self::field_type::{FieldType, Type};
pub use self::field_value::FieldValue;
pub use self::flags::{FAST, INDEXED, STORED};
pub use self::index_record_option::IndexRecordOption;
pub use self::ip_options::IpOptions;
pub use self::json_object_options::JsonObjectOptions;
pub use self::named_field_document::NamedFieldDocument;
pub use self::numeric_options::NumericOptions;

View File

@@ -7,10 +7,10 @@ use crate::schema::flags::{FastFlag, IndexedFlag, SchemaFlagList, StoredFlag};
/// Express whether a field is single-value or multi-valued.
#[derive(Clone, Copy, PartialEq, Eq, Debug, Serialize, Deserialize)]
pub enum Cardinality {
/// The document must have exactly one value associated to the document.
/// The document must have exactly one value associated with the document.
#[serde(rename = "single")]
SingleValue,
/// The document can have any number of values associated to the document.
/// The document can have any number of values associated with the document.
/// This is more memory and CPU expensive than the `SingleValue` solution.
#[serde(rename = "multi")]
MultiValues,
@@ -124,7 +124,7 @@ impl NumericOptions {
///
/// Fast fields are designed for random access.
/// Access time are similar to a random lookup in an array.
/// If more than one value is associated to a fast field, only the last one is
/// If more than one value is associated with a fast field, only the last one is
/// kept.
#[must_use]
pub fn set_fast(mut self, cardinality: Cardinality) -> NumericOptions {

View File

@@ -258,7 +258,7 @@ impl Eq for InnerSchema {}
pub struct Schema(Arc<InnerSchema>);
impl Schema {
/// Return the `FieldEntry` associated to a `Field`.
/// Return the `FieldEntry` associated with a `Field`.
pub fn get_field_entry(&self, field: Field) -> &FieldEntry {
&self.0.fields[field.field_id() as usize]
}
@@ -422,12 +422,8 @@ pub enum DocParsingError {
impl DocParsingError {
/// Builds a NotJson DocParsingError
fn invalid_json(invalid_json: &str) -> Self {
let sample_json: String = if invalid_json.len() < 20 {
invalid_json.to_string()
} else {
format!("{:?}...", &invalid_json[0..20])
};
DocParsingError::InvalidJson(sample_json)
let sample = invalid_json.chars().take(20).collect();
DocParsingError::InvalidJson(sample)
}
}
@@ -793,6 +789,11 @@ mod tests {
))
);
}
{
// Short JSON, under the 20 char take.
let json_err = schema.parse_document(r#"{"count": 50,}"#);
assert_matches!(json_err, Err(InvalidJson(_)));
}
{
let json_err = schema.parse_document(
r#"{

View File

@@ -54,27 +54,27 @@ impl Term {
term
}
/// Builds a term given a field, and a u64-value
/// Builds a term given a field, and a `u64`-value
pub fn from_field_u64(field: Field, val: u64) -> Term {
Term::from_fast_value(field, &val)
}
/// Builds a term given a field, and a i64-value
/// Builds a term given a field, and a `i64`-value
pub fn from_field_i64(field: Field, val: i64) -> Term {
Term::from_fast_value(field, &val)
}
/// Builds a term given a field, and a f64-value
/// Builds a term given a field, and a `f64`-value
pub fn from_field_f64(field: Field, val: f64) -> Term {
Term::from_fast_value(field, &val)
}
/// Builds a term given a field, and a f64-value
/// Builds a term given a field, and a `bool`-value
pub fn from_field_bool(field: Field, val: bool) -> Term {
Term::from_fast_value(field, &val)
}
/// Builds a term given a field, and a DateTime value
/// Builds a term given a field, and a `DateTime` value
pub fn from_field_date(field: Field, val: DateTime) -> Term {
Term::from_fast_value(field, &val.truncate(DatePrecision::Seconds))
}
@@ -130,7 +130,7 @@ impl Term {
self.set_fast_value(val);
}
/// Sets a `i64` value in the term.
/// Sets a `DateTime` value in the term.
pub fn set_date(&mut self, date: DateTime) {
self.set_fast_value(date);
}

View File

@@ -47,7 +47,9 @@ impl TextOptions {
/// unchanged. The "default" tokenizer will store the terms as lower case and this will be
/// reflected in the dictionary.
///
/// The original text can be retrieved via `ord_to_term` from the dictionary.
/// The original text can be retrieved via
/// [`TermDictionary::ord_to_term()`](crate::termdict::TermDictionary::ord_to_term)
/// from the dictionary.
#[must_use]
pub fn set_fast(mut self) -> TextOptions {
self.fast = true;
@@ -161,7 +163,7 @@ impl TextFieldIndexing {
self
}
/// Returns the indexing options associated to this field.
/// Returns the indexing options associated with this field.
///
/// See [`IndexRecordOption`] for more detail.
pub fn index_option(&self) -> IndexRecordOption {

View File

@@ -342,7 +342,7 @@ impl SnippetGenerator {
/// Generates a snippet for the given `Document`.
///
/// This method extract the text associated to the `SnippetGenerator`'s field
/// This method extract the text associated with the `SnippetGenerator`'s field
/// and computes a snippet.
pub fn snippet_from_doc(&self, doc: &Document) -> Snippet {
let text: String = doc

View File

@@ -104,6 +104,13 @@ impl ZstdCompressor {
value, opt_name, err
)
})?;
if value >= 15 {
warn!(
"High zstd compression level detected: {:?}. High compression levels \
(>=15) are slow and will limit indexing speed.",
value
)
}
compressor.compression_level = Some(value);
}
_ => {

View File

@@ -1,10 +1,10 @@
use std::io;
use std::iter::Sum;
use std::ops::AddAssign;
use std::ops::{AddAssign, Range};
use std::sync::atomic::{AtomicUsize, Ordering};
use std::sync::{Arc, Mutex};
use common::{BinarySerializable, HasLen, VInt};
use common::{BinarySerializable, HasLen};
use lru::LruCache;
use ownedbytes::OwnedBytes;
@@ -140,10 +140,10 @@ impl StoreReader {
self.cache.stats()
}
/// Get checkpoint for DocId. The checkpoint can be used to load a block containing the
/// Get checkpoint for `DocId`. The checkpoint can be used to load a block containing the
/// document.
///
/// Advanced API. In most cases use [get](Self::get).
/// Advanced API. In most cases use [`get`](Self::get).
fn block_checkpoint(&self, doc_id: DocId) -> crate::Result<Checkpoint> {
self.skip_index.seek(doc_id).ok_or_else(|| {
crate::TantivyError::InvalidArgument(format!("Failed to lookup Doc #{}.", doc_id))
@@ -160,7 +160,7 @@ impl StoreReader {
/// Loads and decompresses a block.
///
/// Advanced API. In most cases use [get](Self::get).
/// Advanced API. In most cases use [`get`](Self::get).
fn read_block(&self, checkpoint: &Checkpoint) -> io::Result<Block> {
let cache_key = checkpoint.byte_range.start;
if let Some(block) = self.cache.get_from_cache(cache_key) {
@@ -205,28 +205,21 @@ impl StoreReader {
/// Advanced API.
///
/// In most cases use [get_document_bytes](Self::get_document_bytes).
/// In most cases use [`get_document_bytes`](Self::get_document_bytes).
fn get_document_bytes_from_block(
block: OwnedBytes,
doc_id: DocId,
checkpoint: &Checkpoint,
) -> crate::Result<OwnedBytes> {
let mut cursor = &block[..];
let cursor_len_before = cursor.len();
for _ in checkpoint.doc_range.start..doc_id {
let doc_length = VInt::deserialize(&mut cursor)?.val() as usize;
cursor = &cursor[doc_length..];
}
let doc_pos = doc_id - checkpoint.doc_range.start;
let doc_length = VInt::deserialize(&mut cursor)?.val() as usize;
let start_pos = cursor_len_before - cursor.len();
let end_pos = cursor_len_before - cursor.len() + doc_length;
Ok(block.slice(start_pos..end_pos))
let range = block_read_index(&block, doc_pos)?;
Ok(block.slice(range))
}
/// Iterator over all Documents in their order as they are stored in the doc store.
/// Use this, if you want to extract all Documents from the doc store.
/// The alive_bitset has to be forwarded from the `SegmentReader` or the results maybe wrong.
/// The `alive_bitset` has to be forwarded from the `SegmentReader` or the results may be wrong.
pub fn iter<'a: 'b, 'b>(
&'b self,
alive_bitset: Option<&'a AliveBitSet>,
@@ -237,9 +230,9 @@ impl StoreReader {
})
}
/// Iterator over all RawDocuments in their order as they are stored in the doc store.
/// Iterator over all raw Documents in their order as they are stored in the doc store.
/// Use this, if you want to extract all Documents from the doc store.
/// The alive_bitset has to be forwarded from the `SegmentReader` or the results maybe wrong.
/// The `alive_bitset` has to be forwarded from the `SegmentReader` or the results may be wrong.
pub(crate) fn iter_raw<'a: 'b, 'b>(
&'b self,
alive_bitset: Option<&'a AliveBitSet>,
@@ -254,9 +247,7 @@ impl StoreReader {
let mut curr_block = curr_checkpoint
.as_ref()
.map(|checkpoint| self.read_block(checkpoint).map_err(|e| e.kind())); // map error in order to enable cloning
let mut block_start_pos = 0;
let mut num_skipped = 0;
let mut reset_block_pos = false;
let mut doc_pos = 0;
(0..last_doc_id)
.filter_map(move |doc_id| {
// filter_map is only used to resolve lifetime issues between the two closures on
@@ -268,24 +259,19 @@ impl StoreReader {
curr_block = curr_checkpoint
.as_ref()
.map(|checkpoint| self.read_block(checkpoint).map_err(|e| e.kind()));
reset_block_pos = true;
num_skipped = 0;
doc_pos = 0;
}
let alive = alive_bitset.map_or(true, |bitset| bitset.is_alive(doc_id));
if alive {
let ret = Some((curr_block.clone(), num_skipped, reset_block_pos));
// the map block will move over the num_skipped, so we reset to 0
num_skipped = 0;
reset_block_pos = false;
ret
let res = if alive {
Some((curr_block.clone(), doc_pos))
} else {
// we keep the number of skipped documents to move forward in the map block
num_skipped += 1;
None
}
};
doc_pos += 1;
res
})
.map(move |(block, num_skipped, reset_block_pos)| {
.map(move |(block, doc_pos)| {
let block = block
.ok_or_else(|| {
DataCorruption::comment_only(
@@ -296,30 +282,9 @@ impl StoreReader {
.map_err(|error_kind| {
std::io::Error::new(error_kind, "error when reading block in doc store")
})?;
// this flag is set, when filter_map moved to the next block
if reset_block_pos {
block_start_pos = 0;
}
let mut cursor = &block[block_start_pos..];
let mut pos = 0;
// move forward 1 doc + num_skipped in block and return length of current doc
let doc_length = loop {
let doc_length = VInt::deserialize(&mut cursor)?.val() as usize;
let num_bytes_read = block[block_start_pos..].len() - cursor.len();
block_start_pos += num_bytes_read;
pos += 1;
if pos == num_skipped + 1 {
break doc_length;
} else {
block_start_pos += doc_length;
cursor = &block[block_start_pos..];
}
};
let end_pos = block_start_pos + doc_length;
let doc_bytes = block.slice(block_start_pos..end_pos);
block_start_pos = end_pos;
Ok(doc_bytes)
let range = block_read_index(&block, doc_pos)?;
Ok(block.slice(range))
})
}
@@ -329,11 +294,33 @@ impl StoreReader {
}
}
fn block_read_index(block: &[u8], doc_pos: u32) -> crate::Result<Range<usize>> {
let doc_pos = doc_pos as usize;
let size_of_u32 = std::mem::size_of::<u32>();
let index_len_pos = block.len() - size_of_u32;
let index_len = u32::deserialize(&mut &block[index_len_pos..])? as usize;
if doc_pos > index_len {
return Err(crate::TantivyError::InternalError(
"Attempted to read doc from wrong block".to_owned(),
));
}
let index_start = block.len() - (index_len + 1) * size_of_u32;
let index = &block[index_start..index_start + index_len * size_of_u32];
let start_offset = u32::deserialize(&mut &index[doc_pos * size_of_u32..])? as usize;
let end_offset = u32::deserialize(&mut &index[(doc_pos + 1) * size_of_u32..])
.unwrap_or(index_start as u32) as usize;
Ok(start_offset..end_offset)
}
#[cfg(feature = "quickwit")]
impl StoreReader {
/// Advanced API.
///
/// In most cases use [get_async](Self::get_async)
/// In most cases use [`get_async`](Self::get_async)
///
/// Loads and decompresses a block asynchronously.
async fn read_block_async(&self, checkpoint: &Checkpoint) -> crate::AsyncIoResult<Block> {
@@ -357,14 +344,14 @@ impl StoreReader {
Ok(decompressed_block)
}
/// Fetches a document asynchronously.
/// Reads raw bytes of a given document asynchronously.
pub async fn get_document_bytes_async(&self, doc_id: DocId) -> crate::Result<OwnedBytes> {
let checkpoint = self.block_checkpoint(doc_id)?;
let block = self.read_block_async(&checkpoint).await?;
Self::get_document_bytes_from_block(block, doc_id, &checkpoint)
}
/// Reads raw bytes of a given document. Async version of [get](Self::get).
/// Fetches a document asynchronously. Async version of [`get`](Self::get).
pub async fn get_async(&self, doc_id: DocId) -> crate::Result<Document> {
let mut doc_bytes = self.get_document_bytes_async(doc_id).await?;
Ok(Document::deserialize(&mut doc_bytes)?)
@@ -427,7 +414,7 @@ mod tests {
assert_eq!(store.cache_stats().cache_hits, 1);
assert_eq!(store.cache_stats().cache_misses, 2);
assert_eq!(store.cache.peek_lru(), Some(9210));
assert_eq!(store.cache.peek_lru(), Some(11163));
Ok(())
}

View File

@@ -1,6 +1,6 @@
use std::io::{self, Write};
use common::{BinarySerializable, VInt};
use common::BinarySerializable;
use super::compressors::Compressor;
use super::StoreReader;
@@ -22,6 +22,7 @@ pub struct StoreWriter {
num_docs_in_current_block: DocId,
intermediary_buffer: Vec<u8>,
current_block: Vec<u8>,
doc_pos: Vec<u32>,
block_compressor: BlockCompressor,
}
@@ -42,6 +43,7 @@ impl StoreWriter {
block_size,
num_docs_in_current_block: 0,
intermediary_buffer: Vec::new(),
doc_pos: Vec::new(),
current_block: Vec::new(),
block_compressor,
})
@@ -53,12 +55,17 @@ impl StoreWriter {
/// The memory used (inclusive childs)
pub fn mem_usage(&self) -> usize {
self.intermediary_buffer.capacity() + self.current_block.capacity()
self.intermediary_buffer.capacity()
+ self.current_block.capacity()
+ self.doc_pos.capacity() * std::mem::size_of::<u32>()
}
/// Checks if the current block is full, and if so, compresses and flushes it.
fn check_flush_block(&mut self) -> io::Result<()> {
if self.current_block.len() > self.block_size {
// this does not count the VInt storing the index lenght itself, but it is negligible in
// front of everything else.
let index_len = self.doc_pos.len() * std::mem::size_of::<usize>();
if self.current_block.len() + index_len > self.block_size {
self.send_current_block_to_compressor()?;
}
Ok(())
@@ -70,8 +77,19 @@ impl StoreWriter {
if self.current_block.is_empty() {
return Ok(());
}
let size_of_u32 = std::mem::size_of::<u32>();
self.current_block
.reserve((self.doc_pos.len() + 1) * size_of_u32);
for pos in self.doc_pos.iter() {
pos.serialize(&mut self.current_block)?;
}
(self.doc_pos.len() as u32).serialize(&mut self.current_block)?;
self.block_compressor
.compress_block_and_write(&self.current_block, self.num_docs_in_current_block)?;
self.doc_pos.clear();
self.current_block.clear();
self.num_docs_in_current_block = 0;
Ok(())
@@ -87,8 +105,7 @@ impl StoreWriter {
// calling store bytes would be preferable for code reuse, but then we can't use
// intermediary_buffer due to the borrow checker
// a new buffer costs ~1% indexing performance
let doc_num_bytes = self.intermediary_buffer.len();
VInt(doc_num_bytes as u64).serialize_into_vec(&mut self.current_block);
self.doc_pos.push(self.current_block.len() as u32);
self.current_block
.write_all(&self.intermediary_buffer[..])?;
self.num_docs_in_current_block += 1;
@@ -101,8 +118,7 @@ impl StoreWriter {
/// The document id is implicitly the current number
/// of documents.
pub fn store_bytes(&mut self, serialized_document: &[u8]) -> io::Result<()> {
let doc_num_bytes = serialized_document.len();
VInt(doc_num_bytes as u64).serialize_into_vec(&mut self.current_block);
self.doc_pos.push(self.current_block.len() as u32);
self.current_block.extend_from_slice(serialized_document);
self.num_docs_in_current_block += 1;
self.check_flush_block()?;

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