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2
.github/workflows/test.yml
vendored
2
.github/workflows/test.yml
vendored
@@ -48,7 +48,7 @@ jobs:
|
||||
strategy:
|
||||
matrix:
|
||||
features: [
|
||||
{ label: "all", flags: "mmap,brotli-compression,lz4-compression,snappy-compression,zstd-compression,failpoints" },
|
||||
{ label: "all", flags: "mmap,stopwords,brotli-compression,lz4-compression,snappy-compression,zstd-compression,failpoints" },
|
||||
{ label: "quickwit", flags: "mmap,quickwit,failpoints" }
|
||||
]
|
||||
|
||||
|
||||
24
CHANGELOG.md
24
CHANGELOG.md
@@ -1,7 +1,13 @@
|
||||
Tantivy 0.19
|
||||
================================
|
||||
#### Bugfixes
|
||||
- Fix missing fieldnorms for u64, i64, f64, bool, bytes and date [#1620](https://github.com/quickwit-oss/tantivy/pull/1620) (@PSeitz)
|
||||
- Fix interpolation overflow in linear interpolation fastfield codec [#1480](https://github.com/quickwit-oss/tantivy/pull/1480 (@PSeitz @fulmicoton)
|
||||
|
||||
- Major bugfix: Fix missing fieldnorms for u64, i64, f64, bool, bytes and date [#1620](https://github.com/quickwit-oss/tantivy/pull/1620) (@PSeitz)
|
||||
#### Features/Improvements
|
||||
- Add support for `IN` in queryparser , e.g. `field: IN [val1 val2 val3]` [#1683](https://github.com/quickwit-oss/tantivy/pull/1683) (@trinity-1686a)
|
||||
- Skip score calculation, when no scoring is required [#1646](https://github.com/quickwit-oss/tantivy/pull/1646) (@PSeitz)
|
||||
- Limit fast fields to u32 (`get_val(u32)`) [#1644](https://github.com/quickwit-oss/tantivy/pull/1644) (@PSeitz)
|
||||
- Updated [Date Field Type](https://github.com/quickwit-oss/tantivy/pull/1396)
|
||||
The `DateTime` type has been updated to hold timestamps with microseconds precision.
|
||||
`DateOptions` and `DatePrecision` have been added to configure Date fields. The precision is used to hint on fast values compression. Otherwise, seconds precision is used everywhere else (i.e terms, indexing). (@evanxg852000)
|
||||
@@ -9,7 +15,6 @@ Tantivy 0.19
|
||||
- Add boolean field type [#1382](https://github.com/quickwit-oss/tantivy/pull/1382) (@boraarslan)
|
||||
- Remove Searcher pool and make `Searcher` cloneable. (@PSeitz)
|
||||
- Validate settings on create [#1570](https://github.com/quickwit-oss/tantivy/pull/1570 (@PSeitz)
|
||||
- Fix interpolation overflow in linear interpolation fastfield codec [#1480](https://github.com/quickwit-oss/tantivy/pull/1480 (@PSeitz @fulmicoton)
|
||||
- Detect and apply gcd on fastfield codecs [#1418](https://github.com/quickwit-oss/tantivy/pull/1418) (@PSeitz)
|
||||
- Doc store
|
||||
- use separate thread to compress block store [#1389](https://github.com/quickwit-oss/tantivy/pull/1389) [#1510](https://github.com/quickwit-oss/tantivy/pull/1510 (@PSeitz @fulmicoton)
|
||||
@@ -19,14 +24,15 @@ Tantivy 0.19
|
||||
- Make `tantivy::TantivyError` cloneable [#1402](https://github.com/quickwit-oss/tantivy/pull/1402) (@PSeitz)
|
||||
- Add support for phrase slop in query language [#1393](https://github.com/quickwit-oss/tantivy/pull/1393) (@saroh)
|
||||
- Aggregation
|
||||
- Add aggregation support for date type [#1693](https://github.com/quickwit-oss/tantivy/pull/1693)(@PSeitz)
|
||||
- Add support for keyed parameter in range and histgram aggregations [#1424](https://github.com/quickwit-oss/tantivy/pull/1424) (@k-yomo)
|
||||
- Add aggregation bucket limit [#1363](https://github.com/quickwit-oss/tantivy/pull/1363) (@PSeitz)
|
||||
- Faster indexing
|
||||
- [#1610](https://github.com/quickwit-oss/tantivy/pull/1610 (@PSeitz)
|
||||
- [#1594](https://github.com/quickwit-oss/tantivy/pull/1594 (@PSeitz)
|
||||
- [#1582](https://github.com/quickwit-oss/tantivy/pull/1582 (@PSeitz)
|
||||
- [#1611](https://github.com/quickwit-oss/tantivy/pull/1611 (@PSeitz)
|
||||
|
||||
- [#1610](https://github.com/quickwit-oss/tantivy/pull/1610) (@PSeitz)
|
||||
- [#1594](https://github.com/quickwit-oss/tantivy/pull/1594) (@PSeitz)
|
||||
- [#1582](https://github.com/quickwit-oss/tantivy/pull/1582) (@PSeitz)
|
||||
- [#1611](https://github.com/quickwit-oss/tantivy/pull/1611) (@PSeitz)
|
||||
- Added a pre-configured stop word filter for various language [#1666](https://github.com/quickwit-oss/tantivy/pull/1666) (@adamreichold)
|
||||
|
||||
Tantivy 0.18
|
||||
================================
|
||||
@@ -44,6 +50,10 @@ Tantivy 0.18
|
||||
- Add terms aggregation (@PSeitz)
|
||||
- Add support for zstd compression (@kryesh)
|
||||
|
||||
Tantivy 0.18.1
|
||||
================================
|
||||
- Hotfix: positions computation. #1629 (@fmassot, @fulmicoton, @PSeitz)
|
||||
|
||||
Tantivy 0.17
|
||||
================================
|
||||
|
||||
|
||||
18
Cargo.toml
18
Cargo.toml
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy"
|
||||
version = "0.18.0"
|
||||
version = "0.19.0-dev"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
license = "MIT"
|
||||
categories = ["database-implementations", "data-structures"]
|
||||
@@ -14,17 +14,18 @@ edition = "2021"
|
||||
rust-version = "1.62"
|
||||
|
||||
[dependencies]
|
||||
oneshot = "0.1.3"
|
||||
oneshot = "0.1.5"
|
||||
base64 = "0.13.0"
|
||||
byteorder = "1.4.3"
|
||||
crc32fast = "1.3.2"
|
||||
once_cell = "1.10.0"
|
||||
regex = { version = "1.5.5", default-features = false, features = ["std", "unicode"] }
|
||||
aho-corasick = "0.7"
|
||||
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, default-features = false }
|
||||
zstd = { version = "0.12", optional = true, default-features = false }
|
||||
snap = { version = "1.0.5", optional = true }
|
||||
tempfile = { version = "3.3.0", optional = true }
|
||||
log = "0.4.16"
|
||||
@@ -45,7 +46,7 @@ rust-stemmers = "1.2.0"
|
||||
downcast-rs = "1.2.0"
|
||||
bitpacking = { version = "0.8.4", default-features = false, features = ["bitpacker4x"] }
|
||||
census = "0.4.0"
|
||||
fnv = "1.0.7"
|
||||
rustc-hash = "1.1.0"
|
||||
thiserror = "1.0.30"
|
||||
htmlescape = "0.3.1"
|
||||
fail = "0.5.0"
|
||||
@@ -70,10 +71,10 @@ maplit = "1.0.2"
|
||||
matches = "0.1.9"
|
||||
pretty_assertions = "1.2.1"
|
||||
proptest = "1.0.0"
|
||||
criterion = "0.3.5"
|
||||
criterion = "0.4"
|
||||
test-log = "0.2.10"
|
||||
env_logger = "0.9.0"
|
||||
pprof = { version = "0.10.0", features = ["flamegraph", "criterion"] }
|
||||
env_logger = "0.10.0"
|
||||
pprof = { version = "0.11.0", features = ["flamegraph", "criterion"] }
|
||||
futures = "0.3.21"
|
||||
|
||||
[dev-dependencies.fail]
|
||||
@@ -90,8 +91,9 @@ debug-assertions = true
|
||||
overflow-checks = true
|
||||
|
||||
[features]
|
||||
default = ["mmap", "lz4-compression" ]
|
||||
default = ["mmap", "stopwords", "lz4-compression"]
|
||||
mmap = ["fs2", "tempfile", "memmap2"]
|
||||
stopwords = []
|
||||
|
||||
brotli-compression = ["brotli"]
|
||||
lz4-compression = ["lz4_flex"]
|
||||
|
||||
@@ -87,15 +87,15 @@ impl BitUnpacker {
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub fn get(&self, idx: u64, data: &[u8]) -> u64 {
|
||||
pub fn get(&self, idx: u32, data: &[u8]) -> u64 {
|
||||
if self.num_bits == 0 {
|
||||
return 0u64;
|
||||
}
|
||||
let addr_in_bits = idx * self.num_bits;
|
||||
let addr_in_bits = idx * self.num_bits as u32;
|
||||
let addr = addr_in_bits >> 3;
|
||||
let bit_shift = addr_in_bits & 7;
|
||||
debug_assert!(
|
||||
addr + 8 <= data.len() as u64,
|
||||
addr + 8 <= data.len() as u32,
|
||||
"The fast field field should have been padded with 7 bytes."
|
||||
);
|
||||
let bytes: [u8; 8] = (&data[(addr as usize)..(addr as usize) + 8])
|
||||
@@ -130,7 +130,7 @@ mod test {
|
||||
fn test_bitpacker_util(len: usize, num_bits: u8) {
|
||||
let (bitunpacker, vals, data) = create_fastfield_bitpacker(len, num_bits);
|
||||
for (i, val) in vals.iter().enumerate() {
|
||||
assert_eq!(bitunpacker.get(i as u64, &data), *val);
|
||||
assert_eq!(bitunpacker.get(i as u32, &data), *val);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -130,7 +130,7 @@ impl BlockedBitpacker {
|
||||
let pos_in_block = idx % BLOCK_SIZE as usize;
|
||||
if let Some(metadata) = self.offset_and_bits.get(metadata_pos) {
|
||||
let unpacked = BitUnpacker::new(metadata.num_bits()).get(
|
||||
pos_in_block as u64,
|
||||
pos_in_block as u32,
|
||||
&self.compressed_blocks[metadata.offset() as usize..],
|
||||
);
|
||||
unpacked + metadata.base_value()
|
||||
|
||||
@@ -94,6 +94,20 @@ impl FixedSize for u32 {
|
||||
const SIZE_IN_BYTES: usize = 4;
|
||||
}
|
||||
|
||||
impl BinarySerializable for u16 {
|
||||
fn serialize<W: Write>(&self, writer: &mut W) -> io::Result<()> {
|
||||
writer.write_u16::<Endianness>(*self)
|
||||
}
|
||||
|
||||
fn deserialize<R: Read>(reader: &mut R) -> io::Result<u16> {
|
||||
reader.read_u16::<Endianness>()
|
||||
}
|
||||
}
|
||||
|
||||
impl FixedSize for u16 {
|
||||
const SIZE_IN_BYTES: usize = 2;
|
||||
}
|
||||
|
||||
impl BinarySerializable for u64 {
|
||||
fn serialize<W: Write>(&self, writer: &mut W) -> io::Result<()> {
|
||||
writer.write_u64::<Endianness>(*self)
|
||||
|
||||
@@ -157,7 +157,7 @@ fn vint_len(data: &[u8]) -> usize {
|
||||
/// If the buffer does not start by a valid
|
||||
/// vint payload
|
||||
pub fn read_u32_vint(data: &mut &[u8]) -> u32 {
|
||||
let (result, vlen) = read_u32_vint_no_advance(*data);
|
||||
let (result, vlen) = read_u32_vint_no_advance(data);
|
||||
*data = &data[vlen..];
|
||||
result
|
||||
}
|
||||
|
||||
@@ -118,7 +118,7 @@ fn main() -> tantivy::Result<()> {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults = searcher.search(&term_query, &collector).unwrap();
|
||||
|
||||
@@ -105,7 +105,7 @@ impl SegmentCollector for StatsSegmentCollector {
|
||||
type Fruit = Option<Stats>;
|
||||
|
||||
fn collect(&mut self, doc: u32, _score: Score) {
|
||||
let value = self.fast_field_reader.get_val(doc as u64) as f64;
|
||||
let value = self.fast_field_reader.get_val(doc) as f64;
|
||||
self.stats.count += 1;
|
||||
self.stats.sum += value;
|
||||
self.stats.squared_sum += value * value;
|
||||
|
||||
@@ -51,7 +51,7 @@ impl Warmer for DynamicPriceColumn {
|
||||
let product_id_reader = segment.fast_fields().u64(self.field)?;
|
||||
let product_ids: Vec<ProductId> = segment
|
||||
.doc_ids_alive()
|
||||
.map(|doc| product_id_reader.get_val(doc as u64))
|
||||
.map(|doc| product_id_reader.get_val(doc))
|
||||
.collect();
|
||||
let mut prices_it = self.price_fetcher.fetch_prices(&product_ids).into_iter();
|
||||
let mut price_vals: Vec<Price> = Vec::new();
|
||||
|
||||
@@ -65,7 +65,7 @@ mod tests {
|
||||
b.iter(|| {
|
||||
let mut a = 0u64;
|
||||
for _ in 0..n {
|
||||
a = column.get_val(a as u64);
|
||||
a = column.get_val(a as u32);
|
||||
}
|
||||
a
|
||||
});
|
||||
@@ -101,7 +101,7 @@ mod tests {
|
||||
fn get_u128_column_from_data(data: &[u128]) -> Arc<dyn Column<u128>> {
|
||||
let mut out = vec![];
|
||||
let iter_gen = || data.iter().cloned();
|
||||
serialize_u128(iter_gen, data.len() as u64, &mut out).unwrap();
|
||||
serialize_u128(iter_gen, data.len() as u32, &mut out).unwrap();
|
||||
let out = OwnedBytes::new(out);
|
||||
open_u128::<u128>(out).unwrap()
|
||||
}
|
||||
@@ -111,7 +111,15 @@ mod tests {
|
||||
let (major_item, _minor_item, data) = get_data_50percent_item();
|
||||
let column = get_u128_column_from_data(&data);
|
||||
|
||||
b.iter(|| column.get_between_vals(major_item..=major_item));
|
||||
b.iter(|| {
|
||||
let mut positions = Vec::new();
|
||||
column.get_docids_for_value_range(
|
||||
major_item..=major_item,
|
||||
0..data.len() as u32,
|
||||
&mut positions,
|
||||
);
|
||||
positions
|
||||
});
|
||||
}
|
||||
|
||||
#[bench]
|
||||
@@ -119,7 +127,15 @@ mod tests {
|
||||
let (_major_item, minor_item, data) = get_data_50percent_item();
|
||||
let column = get_u128_column_from_data(&data);
|
||||
|
||||
b.iter(|| column.get_between_vals(minor_item..=minor_item));
|
||||
b.iter(|| {
|
||||
let mut positions = Vec::new();
|
||||
column.get_docids_for_value_range(
|
||||
minor_item..=minor_item,
|
||||
0..data.len() as u32,
|
||||
&mut positions,
|
||||
);
|
||||
positions
|
||||
});
|
||||
}
|
||||
|
||||
#[bench]
|
||||
@@ -127,7 +143,11 @@ mod tests {
|
||||
let (_major_item, _minor_item, data) = get_data_50percent_item();
|
||||
let column = get_u128_column_from_data(&data);
|
||||
|
||||
b.iter(|| column.get_between_vals(0..=u128::MAX));
|
||||
b.iter(|| {
|
||||
let mut positions = Vec::new();
|
||||
column.get_docids_for_value_range(0..=u128::MAX, 0..data.len() as u32, &mut positions);
|
||||
positions
|
||||
});
|
||||
}
|
||||
|
||||
#[bench]
|
||||
@@ -137,7 +157,7 @@ mod tests {
|
||||
b.iter(|| {
|
||||
let mut a = 0u128;
|
||||
for i in 0u64..column.num_vals() as u64 {
|
||||
a += column.get_val(i);
|
||||
a += column.get_val(i as u32);
|
||||
}
|
||||
a
|
||||
});
|
||||
@@ -151,7 +171,7 @@ mod tests {
|
||||
let n = column.num_vals();
|
||||
let mut a = 0u128;
|
||||
for i in (0..n / 5).map(|val| val * 5) {
|
||||
a += column.get_val(i as u64);
|
||||
a += column.get_val(i);
|
||||
}
|
||||
a
|
||||
});
|
||||
@@ -176,9 +196,9 @@ mod tests {
|
||||
let n = permutation.len();
|
||||
let column: Arc<dyn Column<u64>> = serialize_and_load(&permutation);
|
||||
b.iter(|| {
|
||||
let mut a = 0u64;
|
||||
let mut a = 0;
|
||||
for i in (0..n / 7).map(|val| val * 7) {
|
||||
a += column.get_val(i as u64);
|
||||
a += column.get_val(i as u32);
|
||||
}
|
||||
a
|
||||
});
|
||||
@@ -191,7 +211,7 @@ mod tests {
|
||||
let column: Arc<dyn Column<u64>> = serialize_and_load(&permutation);
|
||||
b.iter(|| {
|
||||
let mut a = 0u64;
|
||||
for i in 0u64..n as u64 {
|
||||
for i in 0u32..n as u32 {
|
||||
a += column.get_val(i);
|
||||
}
|
||||
a
|
||||
@@ -205,8 +225,8 @@ mod tests {
|
||||
let column: Arc<dyn Column<u64>> = serialize_and_load(&permutation);
|
||||
b.iter(|| {
|
||||
let mut a = 0u64;
|
||||
for i in 0..n as u64 {
|
||||
a += column.get_val(i);
|
||||
for i in 0..n {
|
||||
a += column.get_val(i as u32);
|
||||
}
|
||||
a
|
||||
});
|
||||
|
||||
@@ -17,7 +17,7 @@ pub struct BitpackedReader {
|
||||
|
||||
impl Column for BitpackedReader {
|
||||
#[inline]
|
||||
fn get_val(&self, doc: u64) -> u64 {
|
||||
fn get_val(&self, doc: u32) -> u64 {
|
||||
self.bit_unpacker.get(doc, &self.data)
|
||||
}
|
||||
#[inline]
|
||||
@@ -30,7 +30,7 @@ impl Column for BitpackedReader {
|
||||
self.normalized_header.max_value
|
||||
}
|
||||
#[inline]
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.normalized_header.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
@@ -36,7 +36,7 @@ impl BinarySerializable for Block {
|
||||
}
|
||||
}
|
||||
|
||||
fn compute_num_blocks(num_vals: u64) -> usize {
|
||||
fn compute_num_blocks(num_vals: u32) -> usize {
|
||||
(num_vals as usize + CHUNK_SIZE - 1) / CHUNK_SIZE
|
||||
}
|
||||
|
||||
@@ -72,13 +72,13 @@ impl FastFieldCodec for BlockwiseLinearCodec {
|
||||
|
||||
// Estimate first_chunk and extrapolate
|
||||
fn estimate(column: &dyn crate::Column) -> Option<f32> {
|
||||
if column.num_vals() < 10 * CHUNK_SIZE as u64 {
|
||||
if column.num_vals() < 10 * CHUNK_SIZE as u32 {
|
||||
return None;
|
||||
}
|
||||
let mut first_chunk: Vec<u64> = column.iter().take(CHUNK_SIZE as usize).collect();
|
||||
let line = Line::train(&VecColumn::from(&first_chunk));
|
||||
for (i, buffer_val) in first_chunk.iter_mut().enumerate() {
|
||||
let interpolated_val = line.eval(i as u64);
|
||||
let interpolated_val = line.eval(i as u32);
|
||||
*buffer_val = buffer_val.wrapping_sub(interpolated_val);
|
||||
}
|
||||
let estimated_bit_width = first_chunk
|
||||
@@ -95,7 +95,7 @@ impl FastFieldCodec for BlockwiseLinearCodec {
|
||||
};
|
||||
let num_bits = estimated_bit_width as u64 * column.num_vals() as u64
|
||||
// function metadata per block
|
||||
+ metadata_per_block as u64 * (column.num_vals() / CHUNK_SIZE as u64);
|
||||
+ metadata_per_block as u64 * (column.num_vals() as u64 / CHUNK_SIZE as u64);
|
||||
let num_bits_uncompressed = 64 * column.num_vals();
|
||||
Some(num_bits as f32 / num_bits_uncompressed as f32)
|
||||
}
|
||||
@@ -121,7 +121,7 @@ impl FastFieldCodec for BlockwiseLinearCodec {
|
||||
assert!(!buffer.is_empty());
|
||||
|
||||
for (i, buffer_val) in buffer.iter_mut().enumerate() {
|
||||
let interpolated_val = line.eval(i as u64);
|
||||
let interpolated_val = line.eval(i as u32);
|
||||
*buffer_val = buffer_val.wrapping_sub(interpolated_val);
|
||||
}
|
||||
let bit_width = buffer.iter().copied().map(compute_num_bits).max().unwrap();
|
||||
@@ -161,9 +161,9 @@ pub struct BlockwiseLinearReader {
|
||||
|
||||
impl Column for BlockwiseLinearReader {
|
||||
#[inline(always)]
|
||||
fn get_val(&self, idx: u64) -> u64 {
|
||||
let block_id = (idx / CHUNK_SIZE as u64) as usize;
|
||||
let idx_within_block = idx % (CHUNK_SIZE as u64);
|
||||
fn get_val(&self, idx: u32) -> u64 {
|
||||
let block_id = (idx / CHUNK_SIZE as u32) as usize;
|
||||
let idx_within_block = idx % (CHUNK_SIZE as u32);
|
||||
let block = &self.blocks[block_id];
|
||||
let interpoled_val: u64 = block.line.eval(idx_within_block);
|
||||
let block_bytes = &self.data[block.data_start_offset..];
|
||||
@@ -180,7 +180,7 @@ impl Column for BlockwiseLinearReader {
|
||||
self.normalized_header.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.normalized_header.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
use std::marker::PhantomData;
|
||||
use std::ops::RangeInclusive;
|
||||
use std::ops::{Range, RangeInclusive};
|
||||
|
||||
use tantivy_bitpacker::minmax;
|
||||
|
||||
@@ -14,7 +14,7 @@ pub trait Column<T: PartialOrd = u64>: Send + Sync {
|
||||
/// # Panics
|
||||
///
|
||||
/// May panic if `idx` is greater than the column length.
|
||||
fn get_val(&self, idx: u64) -> T;
|
||||
fn get_val(&self, idx: u32) -> T;
|
||||
|
||||
/// Fills an output buffer with the fast field values
|
||||
/// associated with the `DocId` going from
|
||||
@@ -27,21 +27,28 @@ pub trait Column<T: PartialOrd = u64>: Send + Sync {
|
||||
#[inline]
|
||||
fn get_range(&self, start: u64, output: &mut [T]) {
|
||||
for (out, idx) in output.iter_mut().zip(start..) {
|
||||
*out = self.get_val(idx);
|
||||
*out = self.get_val(idx as u32);
|
||||
}
|
||||
}
|
||||
|
||||
/// Return the positions of values which are in the provided range.
|
||||
/// Get the positions of values which are in the provided value range.
|
||||
///
|
||||
/// Note that position == docid for single value fast fields
|
||||
#[inline]
|
||||
fn get_between_vals(&self, range: RangeInclusive<T>) -> Vec<u64> {
|
||||
let mut vals = Vec::new();
|
||||
for idx in 0..self.num_vals() {
|
||||
fn get_docids_for_value_range(
|
||||
&self,
|
||||
value_range: RangeInclusive<T>,
|
||||
doc_id_range: Range<u32>,
|
||||
positions: &mut Vec<u32>,
|
||||
) {
|
||||
let doc_id_range = doc_id_range.start..doc_id_range.end.min(self.num_vals());
|
||||
|
||||
for idx in doc_id_range.start..doc_id_range.end {
|
||||
let val = self.get_val(idx);
|
||||
if range.contains(&val) {
|
||||
vals.push(idx);
|
||||
if value_range.contains(&val) {
|
||||
positions.push(idx);
|
||||
}
|
||||
}
|
||||
vals
|
||||
}
|
||||
|
||||
/// Returns the minimum value for this fast field.
|
||||
@@ -61,7 +68,7 @@ pub trait Column<T: PartialOrd = u64>: Send + Sync {
|
||||
fn max_value(&self) -> T;
|
||||
|
||||
/// The number of values in the column.
|
||||
fn num_vals(&self) -> u64;
|
||||
fn num_vals(&self) -> u32;
|
||||
|
||||
/// Returns a iterator over the data
|
||||
fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = T> + 'a> {
|
||||
@@ -77,7 +84,7 @@ pub struct VecColumn<'a, T = u64> {
|
||||
}
|
||||
|
||||
impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
|
||||
fn get_val(&self, idx: u64) -> T {
|
||||
fn get_val(&self, idx: u32) -> T {
|
||||
(*self).get_val(idx)
|
||||
}
|
||||
|
||||
@@ -89,7 +96,7 @@ impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
|
||||
(*self).max_value()
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
(*self).num_vals()
|
||||
}
|
||||
|
||||
@@ -103,7 +110,7 @@ impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
|
||||
}
|
||||
|
||||
impl<'a, T: Copy + PartialOrd + Send + Sync> Column<T> for VecColumn<'a, T> {
|
||||
fn get_val(&self, position: u64) -> T {
|
||||
fn get_val(&self, position: u32) -> T {
|
||||
self.values[position as usize]
|
||||
}
|
||||
|
||||
@@ -119,8 +126,8 @@ impl<'a, T: Copy + PartialOrd + Send + Sync> Column<T> for VecColumn<'a, T> {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
self.values.len() as u64
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.values.len() as u32
|
||||
}
|
||||
|
||||
fn get_range(&self, start: u64, output: &mut [T]) {
|
||||
@@ -156,7 +163,7 @@ struct MonotonicMappingColumn<C, T, Input> {
|
||||
/// monotonic_mapping.inverse(monotonic_mapping.mapping(el)) == el
|
||||
///
|
||||
/// The inverse of the mapping is required for:
|
||||
/// `fn get_between_vals(&self, range: RangeInclusive<T>) -> Vec<u64> `
|
||||
/// `fn get_positions_for_value_range(&self, range: RangeInclusive<T>) -> Vec<u64> `
|
||||
/// The user provides the original value range and we need to monotonic map them in the same way the
|
||||
/// serialization does before calling the underlying column.
|
||||
///
|
||||
@@ -188,7 +195,7 @@ where
|
||||
Output: PartialOrd + Send + Sync + Clone,
|
||||
{
|
||||
#[inline]
|
||||
fn get_val(&self, idx: u64) -> Output {
|
||||
fn get_val(&self, idx: u32) -> Output {
|
||||
let from_val = self.from_column.get_val(idx);
|
||||
self.monotonic_mapping.mapping(from_val)
|
||||
}
|
||||
@@ -203,7 +210,7 @@ where
|
||||
self.monotonic_mapping.mapping(from_max_value)
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.from_column.num_vals()
|
||||
}
|
||||
|
||||
@@ -215,10 +222,17 @@ where
|
||||
)
|
||||
}
|
||||
|
||||
fn get_between_vals(&self, range: RangeInclusive<Output>) -> Vec<u64> {
|
||||
self.from_column.get_between_vals(
|
||||
fn get_docids_for_value_range(
|
||||
&self,
|
||||
range: RangeInclusive<Output>,
|
||||
doc_id_range: Range<u32>,
|
||||
positions: &mut Vec<u32>,
|
||||
) {
|
||||
self.from_column.get_docids_for_value_range(
|
||||
self.monotonic_mapping.inverse(range.start().clone())
|
||||
..=self.monotonic_mapping.inverse(range.end().clone()),
|
||||
doc_id_range,
|
||||
positions,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -226,6 +240,7 @@ where
|
||||
// and we do not have any specialized implementation anyway.
|
||||
}
|
||||
|
||||
/// Wraps an iterator into a `Column`.
|
||||
pub struct IterColumn<T>(T);
|
||||
|
||||
impl<T> From<T> for IterColumn<T>
|
||||
@@ -241,7 +256,7 @@ where
|
||||
T: Iterator + Clone + ExactSizeIterator + Send + Sync,
|
||||
T::Item: PartialOrd,
|
||||
{
|
||||
fn get_val(&self, idx: u64) -> T::Item {
|
||||
fn get_val(&self, idx: u32) -> T::Item {
|
||||
self.0.clone().nth(idx as usize).unwrap()
|
||||
}
|
||||
|
||||
@@ -253,8 +268,8 @@ where
|
||||
self.0.clone().last().unwrap()
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
self.0.len() as u64
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.0.len() as u32
|
||||
}
|
||||
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = T::Item> + '_> {
|
||||
|
||||
@@ -57,7 +57,7 @@ fn num_bits(val: u128) -> u8 {
|
||||
/// metadata.
|
||||
pub fn get_compact_space(
|
||||
values_deduped_sorted: &BTreeSet<u128>,
|
||||
total_num_values: u64,
|
||||
total_num_values: u32,
|
||||
cost_per_blank: usize,
|
||||
) -> CompactSpace {
|
||||
let mut compact_space_builder = CompactSpaceBuilder::new();
|
||||
|
||||
@@ -14,7 +14,7 @@ use std::{
|
||||
cmp::Ordering,
|
||||
collections::BTreeSet,
|
||||
io::{self, Write},
|
||||
ops::RangeInclusive,
|
||||
ops::{Range, RangeInclusive},
|
||||
};
|
||||
|
||||
use common::{BinarySerializable, CountingWriter, VInt, VIntU128};
|
||||
@@ -165,13 +165,13 @@ pub struct IPCodecParams {
|
||||
bit_unpacker: BitUnpacker,
|
||||
min_value: u128,
|
||||
max_value: u128,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
num_bits: u8,
|
||||
}
|
||||
|
||||
impl CompactSpaceCompressor {
|
||||
/// Taking the vals as Vec may cost a lot of memory. It is used to sort the vals.
|
||||
pub fn train_from(iter: impl Iterator<Item = u128>, num_vals: u64) -> Self {
|
||||
pub fn train_from(iter: impl Iterator<Item = u128>, num_vals: u32) -> Self {
|
||||
let mut values_sorted = BTreeSet::new();
|
||||
values_sorted.extend(iter);
|
||||
let total_num_values = num_vals;
|
||||
@@ -200,7 +200,7 @@ impl CompactSpaceCompressor {
|
||||
bit_unpacker: BitUnpacker::new(num_bits),
|
||||
min_value,
|
||||
max_value,
|
||||
num_vals: total_num_values as u64,
|
||||
num_vals: total_num_values,
|
||||
num_bits,
|
||||
},
|
||||
}
|
||||
@@ -267,7 +267,7 @@ impl BinarySerializable for IPCodecParams {
|
||||
let _header_flags = u64::deserialize(reader)?;
|
||||
let min_value = VIntU128::deserialize(reader)?.0;
|
||||
let max_value = VIntU128::deserialize(reader)?.0;
|
||||
let num_vals = VIntU128::deserialize(reader)?.0 as u64;
|
||||
let num_vals = VIntU128::deserialize(reader)?.0 as u32;
|
||||
let num_bits = u8::deserialize(reader)?;
|
||||
let compact_space = CompactSpace::deserialize(reader)?;
|
||||
|
||||
@@ -284,7 +284,7 @@ impl BinarySerializable for IPCodecParams {
|
||||
|
||||
impl Column<u128> for CompactSpaceDecompressor {
|
||||
#[inline]
|
||||
fn get_val(&self, doc: u64) -> u128 {
|
||||
fn get_val(&self, doc: u32) -> u128 {
|
||||
self.get(doc)
|
||||
}
|
||||
|
||||
@@ -296,7 +296,7 @@ impl Column<u128> for CompactSpaceDecompressor {
|
||||
self.max_value()
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.params.num_vals
|
||||
}
|
||||
|
||||
@@ -304,8 +304,15 @@ impl Column<u128> for CompactSpaceDecompressor {
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u128> + '_> {
|
||||
Box::new(self.iter())
|
||||
}
|
||||
fn get_between_vals(&self, range: RangeInclusive<u128>) -> Vec<u64> {
|
||||
self.get_between_vals(range)
|
||||
|
||||
#[inline]
|
||||
fn get_docids_for_value_range(
|
||||
&self,
|
||||
value_range: RangeInclusive<u128>,
|
||||
positions_range: Range<u32>,
|
||||
positions: &mut Vec<u32>,
|
||||
) {
|
||||
self.get_positions_for_value_range(value_range, positions_range, positions)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -340,12 +347,19 @@ impl CompactSpaceDecompressor {
|
||||
/// Comparing on compact space: Real dataset 1.08 GElements/s
|
||||
///
|
||||
/// Comparing on original space: Real dataset .06 GElements/s (not completely optimized)
|
||||
pub fn get_between_vals(&self, range: RangeInclusive<u128>) -> Vec<u64> {
|
||||
if range.start() > range.end() {
|
||||
return Vec::new();
|
||||
#[inline]
|
||||
pub fn get_positions_for_value_range(
|
||||
&self,
|
||||
value_range: RangeInclusive<u128>,
|
||||
position_range: Range<u32>,
|
||||
positions: &mut Vec<u32>,
|
||||
) {
|
||||
if value_range.start() > value_range.end() {
|
||||
return;
|
||||
}
|
||||
let from_value = *range.start();
|
||||
let to_value = *range.end();
|
||||
let position_range = position_range.start..position_range.end.min(self.num_vals());
|
||||
let from_value = *value_range.start();
|
||||
let to_value = *value_range.end();
|
||||
assert!(to_value >= from_value);
|
||||
let compact_from = self.u128_to_compact(from_value);
|
||||
let compact_to = self.u128_to_compact(to_value);
|
||||
@@ -353,7 +367,7 @@ impl CompactSpaceDecompressor {
|
||||
// Quick return, if both ranges fall into the same non-mapped space, the range can't cover
|
||||
// any values, so we can early exit
|
||||
match (compact_to, compact_from) {
|
||||
(Err(pos1), Err(pos2)) if pos1 == pos2 => return Vec::new(),
|
||||
(Err(pos1), Err(pos2)) if pos1 == pos2 => return,
|
||||
_ => {}
|
||||
}
|
||||
|
||||
@@ -375,27 +389,28 @@ impl CompactSpaceDecompressor {
|
||||
});
|
||||
|
||||
let range = compact_from..=compact_to;
|
||||
let mut positions = Vec::new();
|
||||
|
||||
let scan_num_docs = position_range.end - position_range.start;
|
||||
|
||||
let step_size = 4;
|
||||
let cutoff = self.params.num_vals - self.params.num_vals % step_size;
|
||||
let cutoff = position_range.start + scan_num_docs - scan_num_docs % step_size;
|
||||
|
||||
let mut push_if_in_range = |idx, val| {
|
||||
if range.contains(&val) {
|
||||
positions.push(idx);
|
||||
}
|
||||
};
|
||||
let get_val = |idx| self.params.bit_unpacker.get(idx as u64, &self.data);
|
||||
let get_val = |idx| self.params.bit_unpacker.get(idx, &self.data);
|
||||
// unrolled loop
|
||||
for idx in (0..cutoff).step_by(step_size as usize) {
|
||||
for idx in (position_range.start..cutoff).step_by(step_size as usize) {
|
||||
let idx1 = idx;
|
||||
let idx2 = idx + 1;
|
||||
let idx3 = idx + 2;
|
||||
let idx4 = idx + 3;
|
||||
let val1 = get_val(idx1);
|
||||
let val2 = get_val(idx2);
|
||||
let val3 = get_val(idx3);
|
||||
let val4 = get_val(idx4);
|
||||
let val1 = get_val(idx1 as u32);
|
||||
let val2 = get_val(idx2 as u32);
|
||||
let val3 = get_val(idx3 as u32);
|
||||
let val4 = get_val(idx4 as u32);
|
||||
push_if_in_range(idx1, val1);
|
||||
push_if_in_range(idx2, val2);
|
||||
push_if_in_range(idx3, val3);
|
||||
@@ -403,17 +418,15 @@ impl CompactSpaceDecompressor {
|
||||
}
|
||||
|
||||
// handle rest
|
||||
for idx in cutoff..self.params.num_vals {
|
||||
push_if_in_range(idx, get_val(idx));
|
||||
for idx in cutoff..position_range.end {
|
||||
push_if_in_range(idx, get_val(idx as u32));
|
||||
}
|
||||
|
||||
positions
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn iter_compact(&self) -> impl Iterator<Item = u64> + '_ {
|
||||
(0..self.params.num_vals)
|
||||
.map(move |idx| self.params.bit_unpacker.get(idx as u64, &self.data) as u64)
|
||||
.map(move |idx| self.params.bit_unpacker.get(idx, &self.data) as u64)
|
||||
}
|
||||
|
||||
#[inline]
|
||||
@@ -425,7 +438,7 @@ impl CompactSpaceDecompressor {
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub fn get(&self, idx: u64) -> u128 {
|
||||
pub fn get(&self, idx: u32) -> u128 {
|
||||
let compact = self.params.bit_unpacker.get(idx, &self.data);
|
||||
self.compact_to_u128(compact)
|
||||
}
|
||||
@@ -443,6 +456,9 @@ impl CompactSpaceDecompressor {
|
||||
mod tests {
|
||||
|
||||
use super::*;
|
||||
use crate::format_version::read_format_version;
|
||||
use crate::null_index_footer::read_null_index_footer;
|
||||
use crate::serialize::U128Header;
|
||||
use crate::{open_u128, serialize_u128};
|
||||
|
||||
#[test]
|
||||
@@ -452,7 +468,7 @@ mod tests {
|
||||
]
|
||||
.into_iter()
|
||||
.collect();
|
||||
let compact_space = get_compact_space(ips, ips.len() as u64, 11);
|
||||
let compact_space = get_compact_space(ips, ips.len() as u32, 11);
|
||||
let amplitude = compact_space.amplitude_compact_space();
|
||||
assert_eq!(amplitude, 17);
|
||||
assert_eq!(1, compact_space.u128_to_compact(2).unwrap());
|
||||
@@ -483,24 +499,30 @@ mod tests {
|
||||
#[test]
|
||||
fn compact_space_amplitude_test() {
|
||||
let ips = &[100000u128, 1000000].into_iter().collect();
|
||||
let compact_space = get_compact_space(ips, ips.len() as u64, 1);
|
||||
let compact_space = get_compact_space(ips, ips.len() as u32, 1);
|
||||
let amplitude = compact_space.amplitude_compact_space();
|
||||
assert_eq!(amplitude, 2);
|
||||
}
|
||||
|
||||
fn test_all(data: OwnedBytes, expected: &[u128]) {
|
||||
fn test_all(mut data: OwnedBytes, expected: &[u128]) {
|
||||
let _header = U128Header::deserialize(&mut data);
|
||||
let decompressor = CompactSpaceDecompressor::open(data).unwrap();
|
||||
for (idx, expected_val) in expected.iter().cloned().enumerate() {
|
||||
let val = decompressor.get(idx as u64);
|
||||
let val = decompressor.get(idx as u32);
|
||||
assert_eq!(val, expected_val);
|
||||
|
||||
let test_range = |range: RangeInclusive<u128>| {
|
||||
let expected_positions = expected
|
||||
.iter()
|
||||
.positions(|val| range.contains(val))
|
||||
.map(|pos| pos as u64)
|
||||
.map(|pos| pos as u32)
|
||||
.collect::<Vec<_>>();
|
||||
let positions = decompressor.get_between_vals(range);
|
||||
let mut positions = Vec::new();
|
||||
decompressor.get_positions_for_value_range(
|
||||
range,
|
||||
0..decompressor.num_vals(),
|
||||
&mut positions,
|
||||
);
|
||||
assert_eq!(positions, expected_positions);
|
||||
};
|
||||
|
||||
@@ -515,13 +537,16 @@ mod tests {
|
||||
let mut out = Vec::new();
|
||||
serialize_u128(
|
||||
|| u128_vals.iter().cloned(),
|
||||
u128_vals.len() as u64,
|
||||
u128_vals.len() as u32,
|
||||
&mut out,
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let data = OwnedBytes::new(out);
|
||||
let (data, _format_version) = read_format_version(data).unwrap();
|
||||
let (data, _null_index_footer) = read_null_index_footer(data).unwrap();
|
||||
test_all(data.clone(), u128_vals);
|
||||
|
||||
data
|
||||
}
|
||||
|
||||
@@ -538,26 +563,111 @@ mod tests {
|
||||
4_000_211_222u128,
|
||||
333u128,
|
||||
];
|
||||
let data = test_aux_vals(vals);
|
||||
let mut data = test_aux_vals(vals);
|
||||
|
||||
let _header = U128Header::deserialize(&mut data);
|
||||
let decomp = CompactSpaceDecompressor::open(data).unwrap();
|
||||
let positions = decomp.get_between_vals(0..=1);
|
||||
let complete_range = 0..vals.len() as u32;
|
||||
for (pos, val) in vals.iter().enumerate() {
|
||||
let val = *val as u128;
|
||||
let pos = pos as u32;
|
||||
let mut positions = Vec::new();
|
||||
decomp.get_positions_for_value_range(val..=val, pos..pos + 1, &mut positions);
|
||||
assert_eq!(positions, vec![pos]);
|
||||
}
|
||||
|
||||
// handle docid range out of bounds
|
||||
let positions = get_positions_for_value_range_helper(&decomp, 0..=1, 1..u32::MAX);
|
||||
assert_eq!(positions, vec![]);
|
||||
|
||||
let positions =
|
||||
get_positions_for_value_range_helper(&decomp, 0..=1, complete_range.clone());
|
||||
assert_eq!(positions, vec![0]);
|
||||
let positions = decomp.get_between_vals(0..=2);
|
||||
let positions =
|
||||
get_positions_for_value_range_helper(&decomp, 0..=2, complete_range.clone());
|
||||
assert_eq!(positions, vec![0]);
|
||||
let positions = decomp.get_between_vals(0..=3);
|
||||
let positions =
|
||||
get_positions_for_value_range_helper(&decomp, 0..=3, complete_range.clone());
|
||||
assert_eq!(positions, vec![0, 2]);
|
||||
assert_eq!(decomp.get_between_vals(99999u128..=99999u128), vec![3]);
|
||||
assert_eq!(decomp.get_between_vals(99999u128..=100000u128), vec![3, 4]);
|
||||
assert_eq!(decomp.get_between_vals(99998u128..=100000u128), vec![3, 4]);
|
||||
assert_eq!(decomp.get_between_vals(99998u128..=99999u128), vec![3]);
|
||||
assert_eq!(decomp.get_between_vals(99998u128..=99998u128), vec![]);
|
||||
assert_eq!(decomp.get_between_vals(333u128..=333u128), vec![8]);
|
||||
assert_eq!(decomp.get_between_vals(332u128..=333u128), vec![8]);
|
||||
assert_eq!(decomp.get_between_vals(332u128..=334u128), vec![8]);
|
||||
assert_eq!(decomp.get_between_vals(333u128..=334u128), vec![8]);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99999u128..=99999u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![3]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99999u128..=100000u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![3, 4]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99998u128..=100000u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![3, 4]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99998u128..=99999u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![3]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
99998u128..=99998u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
333u128..=333u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![8]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
332u128..=333u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![8]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
332u128..=334u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![8]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
333u128..=334u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![8]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
decomp.get_between_vals(4_000_211_221u128..=5_000_000_000u128),
|
||||
get_positions_for_value_range_helper(
|
||||
&decomp,
|
||||
4_000_211_221u128..=5_000_000_000u128,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![6, 7]
|
||||
);
|
||||
}
|
||||
@@ -580,14 +690,32 @@ mod tests {
|
||||
4_000_211_222u128,
|
||||
333u128,
|
||||
];
|
||||
let data = test_aux_vals(vals);
|
||||
let mut data = test_aux_vals(vals);
|
||||
let _header = U128Header::deserialize(&mut data);
|
||||
let decomp = CompactSpaceDecompressor::open(data).unwrap();
|
||||
let positions = decomp.get_between_vals(0..=5);
|
||||
assert_eq!(positions, vec![]);
|
||||
let positions = decomp.get_between_vals(0..=100);
|
||||
assert_eq!(positions, vec![0]);
|
||||
let positions = decomp.get_between_vals(0..=105);
|
||||
assert_eq!(positions, vec![0]);
|
||||
let complete_range = 0..vals.len() as u32;
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(&decomp, 0..=5, complete_range.clone()),
|
||||
vec![]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(&decomp, 0..=100, complete_range.clone()),
|
||||
vec![0]
|
||||
);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(&decomp, 0..=105, complete_range.clone()),
|
||||
vec![0]
|
||||
);
|
||||
}
|
||||
|
||||
fn get_positions_for_value_range_helper<C: Column<T> + ?Sized, T: PartialOrd>(
|
||||
column: &C,
|
||||
value_range: RangeInclusive<T>,
|
||||
doc_id_range: Range<u32>,
|
||||
) -> Vec<u32> {
|
||||
let mut positions = Vec::new();
|
||||
column.get_docids_for_value_range(value_range, doc_id_range, &mut positions);
|
||||
positions
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -608,13 +736,33 @@ mod tests {
|
||||
5_000_000_000,
|
||||
];
|
||||
let mut out = Vec::new();
|
||||
serialize_u128(|| vals.iter().cloned(), vals.len() as u64, &mut out).unwrap();
|
||||
serialize_u128(|| vals.iter().cloned(), vals.len() as u32, &mut out).unwrap();
|
||||
let decomp = open_u128::<u128>(OwnedBytes::new(out)).unwrap();
|
||||
let complete_range = 0..vals.len() as u32;
|
||||
|
||||
assert_eq!(decomp.get_between_vals(199..=200), vec![0]);
|
||||
assert_eq!(decomp.get_between_vals(199..=201), vec![0, 1]);
|
||||
assert_eq!(decomp.get_between_vals(200..=200), vec![0]);
|
||||
assert_eq!(decomp.get_between_vals(1_000_000..=1_000_000), vec![11]);
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(&*decomp, 199..=200, complete_range.clone()),
|
||||
vec![0]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(&*decomp, 199..=201, complete_range.clone()),
|
||||
vec![0, 1]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(&*decomp, 200..=200, complete_range.clone()),
|
||||
vec![0]
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_positions_for_value_range_helper(
|
||||
&*decomp,
|
||||
1_000_000..=1_000_000,
|
||||
complete_range.clone()
|
||||
),
|
||||
vec![11]
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
39
fastfield_codecs/src/format_version.rs
Normal file
39
fastfield_codecs/src/format_version.rs
Normal file
@@ -0,0 +1,39 @@
|
||||
use std::io;
|
||||
|
||||
use common::BinarySerializable;
|
||||
use ownedbytes::OwnedBytes;
|
||||
|
||||
const MAGIC_NUMBER: u16 = 4335u16;
|
||||
const FASTFIELD_FORMAT_VERSION: u8 = 1;
|
||||
|
||||
pub(crate) fn append_format_version(output: &mut impl io::Write) -> io::Result<()> {
|
||||
FASTFIELD_FORMAT_VERSION.serialize(output)?;
|
||||
MAGIC_NUMBER.serialize(output)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub(crate) fn read_format_version(data: OwnedBytes) -> io::Result<(OwnedBytes, u8)> {
|
||||
let (data, magic_number_bytes) = data.rsplit(2);
|
||||
|
||||
let magic_number = u16::deserialize(&mut magic_number_bytes.as_slice())?;
|
||||
if magic_number != MAGIC_NUMBER {
|
||||
return Err(io::Error::new(
|
||||
io::ErrorKind::InvalidData,
|
||||
format!("magic number mismatch {} != {}", magic_number, MAGIC_NUMBER),
|
||||
));
|
||||
}
|
||||
let (data, format_version_bytes) = data.rsplit(1);
|
||||
let format_version = u8::deserialize(&mut format_version_bytes.as_slice())?;
|
||||
if format_version > FASTFIELD_FORMAT_VERSION {
|
||||
return Err(io::Error::new(
|
||||
io::ErrorKind::InvalidData,
|
||||
format!(
|
||||
"Unsupported fastfield format version: {}. Max supported version: {}",
|
||||
format_version, FASTFIELD_FORMAT_VERSION
|
||||
),
|
||||
));
|
||||
}
|
||||
|
||||
Ok((data, format_version))
|
||||
}
|
||||
@@ -20,28 +20,35 @@ use std::sync::Arc;
|
||||
|
||||
use common::BinarySerializable;
|
||||
use compact_space::CompactSpaceDecompressor;
|
||||
use format_version::read_format_version;
|
||||
use monotonic_mapping::{
|
||||
StrictlyMonotonicMappingInverter, StrictlyMonotonicMappingToInternal,
|
||||
StrictlyMonotonicMappingToInternalBaseval, StrictlyMonotonicMappingToInternalGCDBaseval,
|
||||
};
|
||||
use null_index_footer::read_null_index_footer;
|
||||
use ownedbytes::OwnedBytes;
|
||||
use serialize::Header;
|
||||
use serialize::{Header, U128Header};
|
||||
|
||||
mod bitpacked;
|
||||
mod blockwise_linear;
|
||||
mod compact_space;
|
||||
mod format_version;
|
||||
mod line;
|
||||
mod linear;
|
||||
mod monotonic_mapping;
|
||||
mod monotonic_mapping_u128;
|
||||
mod null_index;
|
||||
mod null_index_footer;
|
||||
|
||||
mod column;
|
||||
mod gcd;
|
||||
mod serialize;
|
||||
|
||||
pub use null_index::*;
|
||||
|
||||
use self::bitpacked::BitpackedCodec;
|
||||
use self::blockwise_linear::BlockwiseLinearCodec;
|
||||
pub use self::column::{monotonic_map_column, Column, VecColumn};
|
||||
pub use self::column::{monotonic_map_column, Column, IterColumn, VecColumn};
|
||||
use self::linear::LinearCodec;
|
||||
pub use self::monotonic_mapping::{MonotonicallyMappableToU64, StrictlyMonotonicFn};
|
||||
pub use self::monotonic_mapping_u128::MonotonicallyMappableToU128;
|
||||
@@ -92,10 +99,49 @@ impl FastFieldCodecType {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, PartialOrd, Ord, Debug, Clone, Copy)]
|
||||
#[repr(u8)]
|
||||
/// Available codecs to use to encode the u128 (via [`MonotonicallyMappableToU128`]) converted data.
|
||||
pub enum U128FastFieldCodecType {
|
||||
/// This codec takes a large number space (u128) and reduces it to a compact number space, by
|
||||
/// removing the holes.
|
||||
CompactSpace = 1,
|
||||
}
|
||||
|
||||
impl BinarySerializable for U128FastFieldCodecType {
|
||||
fn serialize<W: Write>(&self, wrt: &mut W) -> io::Result<()> {
|
||||
self.to_code().serialize(wrt)
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let code = u8::deserialize(reader)?;
|
||||
let codec_type: Self = Self::from_code(code)
|
||||
.ok_or_else(|| io::Error::new(io::ErrorKind::InvalidData, "Unknown code `{code}.`"))?;
|
||||
Ok(codec_type)
|
||||
}
|
||||
}
|
||||
|
||||
impl U128FastFieldCodecType {
|
||||
pub(crate) fn to_code(self) -> u8 {
|
||||
self as u8
|
||||
}
|
||||
|
||||
pub(crate) fn from_code(code: u8) -> Option<Self> {
|
||||
match code {
|
||||
1 => Some(Self::CompactSpace),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns the correct codec reader wrapped in the `Arc` for the data.
|
||||
pub fn open_u128<Item: MonotonicallyMappableToU128>(
|
||||
bytes: OwnedBytes,
|
||||
) -> io::Result<Arc<dyn Column<Item>>> {
|
||||
let (bytes, _format_version) = read_format_version(bytes)?;
|
||||
let (mut bytes, _null_index_footer) = read_null_index_footer(bytes)?;
|
||||
let header = U128Header::deserialize(&mut bytes)?;
|
||||
assert_eq!(header.codec_type, U128FastFieldCodecType::CompactSpace);
|
||||
let reader = CompactSpaceDecompressor::open(bytes)?;
|
||||
let inverted: StrictlyMonotonicMappingInverter<StrictlyMonotonicMappingToInternal<Item>> =
|
||||
StrictlyMonotonicMappingToInternal::<Item>::new().into();
|
||||
@@ -103,9 +149,9 @@ pub fn open_u128<Item: MonotonicallyMappableToU128>(
|
||||
}
|
||||
|
||||
/// Returns the correct codec reader wrapped in the `Arc` for the data.
|
||||
pub fn open<T: MonotonicallyMappableToU64>(
|
||||
mut bytes: OwnedBytes,
|
||||
) -> io::Result<Arc<dyn Column<T>>> {
|
||||
pub fn open<T: MonotonicallyMappableToU64>(bytes: OwnedBytes) -> io::Result<Arc<dyn Column<T>>> {
|
||||
let (bytes, _format_version) = read_format_version(bytes)?;
|
||||
let (mut bytes, _null_index_footer) = read_null_index_footer(bytes)?;
|
||||
let header = Header::deserialize(&mut bytes)?;
|
||||
match header.codec_type {
|
||||
FastFieldCodecType::Bitpacked => open_specific_codec::<BitpackedCodec, _>(bytes, &header),
|
||||
@@ -199,9 +245,9 @@ mod tests {
|
||||
let actual_compression = out.len() as f32 / (data.len() as f32 * 8.0);
|
||||
|
||||
let reader = crate::open::<u64>(OwnedBytes::new(out)).unwrap();
|
||||
assert_eq!(reader.num_vals(), data.len() as u64);
|
||||
assert_eq!(reader.num_vals(), data.len() as u32);
|
||||
for (doc, orig_val) in data.iter().copied().enumerate() {
|
||||
let val = reader.get_val(doc as u64);
|
||||
let val = reader.get_val(doc as u32);
|
||||
assert_eq!(
|
||||
val, orig_val,
|
||||
"val `{val}` does not match orig_val {orig_val:?}, in data set {name}, data \
|
||||
@@ -211,13 +257,18 @@ mod tests {
|
||||
|
||||
if !data.is_empty() {
|
||||
let test_rand_idx = rand::thread_rng().gen_range(0..=data.len() - 1);
|
||||
let expected_positions: Vec<u64> = data
|
||||
let expected_positions: Vec<u32> = data
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter(|(_, el)| **el == data[test_rand_idx])
|
||||
.map(|(pos, _)| pos as u64)
|
||||
.map(|(pos, _)| pos as u32)
|
||||
.collect();
|
||||
let positions = reader.get_between_vals(data[test_rand_idx]..=data[test_rand_idx]);
|
||||
let mut positions = Vec::new();
|
||||
reader.get_docids_for_value_range(
|
||||
data[test_rand_idx]..=data[test_rand_idx],
|
||||
0..data.len() as u32,
|
||||
&mut positions,
|
||||
);
|
||||
assert_eq!(expected_positions, positions);
|
||||
}
|
||||
Some((estimation, actual_compression))
|
||||
@@ -429,7 +480,7 @@ mod bench {
|
||||
b.iter(|| {
|
||||
let mut sum = 0u64;
|
||||
for pos in value_iter() {
|
||||
let val = col.get_val(pos as u64);
|
||||
let val = col.get_val(pos as u32);
|
||||
sum = sum.wrapping_add(val);
|
||||
}
|
||||
sum
|
||||
@@ -441,7 +492,7 @@ mod bench {
|
||||
b.iter(|| {
|
||||
let mut sum = 0u64;
|
||||
for pos in value_iter() {
|
||||
let val = col.get_val(pos as u64);
|
||||
let val = col.get_val(pos as u32);
|
||||
sum = sum.wrapping_add(val);
|
||||
}
|
||||
sum
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
use std::io;
|
||||
use std::num::NonZeroU64;
|
||||
use std::num::NonZeroU32;
|
||||
|
||||
use common::{BinarySerializable, VInt};
|
||||
|
||||
@@ -29,7 +29,7 @@ pub struct Line {
|
||||
/// compute_slope(y0, y1)
|
||||
/// = compute_slope(y0 + X % 2^64, y1 + X % 2^64)
|
||||
/// `
|
||||
fn compute_slope(y0: u64, y1: u64, num_vals: NonZeroU64) -> u64 {
|
||||
fn compute_slope(y0: u64, y1: u64, num_vals: NonZeroU32) -> u64 {
|
||||
let dy = y1.wrapping_sub(y0);
|
||||
let sign = dy <= (1 << 63);
|
||||
let abs_dy = if sign {
|
||||
@@ -43,7 +43,7 @@ fn compute_slope(y0: u64, y1: u64, num_vals: NonZeroU64) -> u64 {
|
||||
return 0u64;
|
||||
}
|
||||
|
||||
let abs_slope = (abs_dy << 32) / num_vals.get();
|
||||
let abs_slope = (abs_dy << 32) / num_vals.get() as u64;
|
||||
if sign {
|
||||
abs_slope
|
||||
} else {
|
||||
@@ -62,8 +62,8 @@ fn compute_slope(y0: u64, y1: u64, num_vals: NonZeroU64) -> u64 {
|
||||
|
||||
impl Line {
|
||||
#[inline(always)]
|
||||
pub fn eval(&self, x: u64) -> u64 {
|
||||
let linear_part = (x.wrapping_mul(self.slope) >> 32) as i32 as u64;
|
||||
pub fn eval(&self, x: u32) -> u64 {
|
||||
let linear_part = ((x as u64).wrapping_mul(self.slope) >> 32) as i32 as u64;
|
||||
self.intercept.wrapping_add(linear_part)
|
||||
}
|
||||
|
||||
@@ -75,7 +75,7 @@ impl Line {
|
||||
Self::train_from(
|
||||
first_val,
|
||||
last_val,
|
||||
num_vals,
|
||||
num_vals as u32,
|
||||
sample_positions_and_values.iter().cloned(),
|
||||
)
|
||||
}
|
||||
@@ -84,11 +84,11 @@ impl Line {
|
||||
fn train_from(
|
||||
first_val: u64,
|
||||
last_val: u64,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
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) {
|
||||
let idx_last_val = if let Some(idx_last_val) = NonZeroU32::new(num_vals - 1) {
|
||||
idx_last_val
|
||||
} else {
|
||||
return Line::default();
|
||||
@@ -129,7 +129,7 @@ impl Line {
|
||||
};
|
||||
let heuristic_shift = y0.wrapping_sub(MID_POINT);
|
||||
line.intercept = positions_and_values
|
||||
.map(|(pos, y)| y.wrapping_sub(line.eval(pos)))
|
||||
.map(|(pos, y)| y.wrapping_sub(line.eval(pos as u32)))
|
||||
.min_by_key(|&val| val.wrapping_sub(heuristic_shift))
|
||||
.unwrap_or(0u64); //< Never happens.
|
||||
line
|
||||
@@ -199,7 +199,7 @@ mod tests {
|
||||
let line = Line::train(&VecColumn::from(&ys));
|
||||
ys.iter()
|
||||
.enumerate()
|
||||
.map(|(x, y)| y.wrapping_sub(line.eval(x as u64)))
|
||||
.map(|(x, y)| y.wrapping_sub(line.eval(x as u32)))
|
||||
.max()
|
||||
}
|
||||
|
||||
|
||||
@@ -19,7 +19,7 @@ pub struct LinearReader {
|
||||
|
||||
impl Column for LinearReader {
|
||||
#[inline]
|
||||
fn get_val(&self, doc: u64) -> u64 {
|
||||
fn get_val(&self, doc: u32) -> u64 {
|
||||
let interpoled_val: u64 = self.linear_params.line.eval(doc);
|
||||
let bitpacked_diff = self.linear_params.bit_unpacker.get(doc, &self.data);
|
||||
interpoled_val.wrapping_add(bitpacked_diff)
|
||||
@@ -37,7 +37,7 @@ impl Column for LinearReader {
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.header.num_vals
|
||||
}
|
||||
}
|
||||
@@ -93,7 +93,7 @@ impl FastFieldCodec for LinearCodec {
|
||||
.iter()
|
||||
.enumerate()
|
||||
.map(|(pos, actual_value)| {
|
||||
let calculated_value = line.eval(pos as u64);
|
||||
let calculated_value = line.eval(pos as u32);
|
||||
actual_value.wrapping_sub(calculated_value)
|
||||
})
|
||||
.max()
|
||||
@@ -108,7 +108,7 @@ impl FastFieldCodec for LinearCodec {
|
||||
|
||||
let mut bit_packer = BitPacker::new();
|
||||
for (pos, actual_value) in column.iter().enumerate() {
|
||||
let calculated_value = line.eval(pos as u64);
|
||||
let calculated_value = line.eval(pos as u32);
|
||||
let offset = actual_value.wrapping_sub(calculated_value);
|
||||
bit_packer.write(offset, num_bits, write)?;
|
||||
}
|
||||
@@ -140,7 +140,7 @@ impl FastFieldCodec for LinearCodec {
|
||||
let estimated_bit_width = sample_positions_and_values
|
||||
.into_iter()
|
||||
.map(|(pos, actual_value)| {
|
||||
let interpolated_val = line.eval(pos as u64);
|
||||
let interpolated_val = line.eval(pos as u32);
|
||||
actual_value.wrapping_sub(interpolated_val)
|
||||
})
|
||||
.map(|diff| ((diff as f32 * 1.5) * 2.0) as u64)
|
||||
|
||||
@@ -90,7 +90,7 @@ fn bench_ip() {
|
||||
{
|
||||
let mut data = vec![];
|
||||
for dataset in dataset.chunks(500_000) {
|
||||
serialize_u128(|| dataset.iter().cloned(), dataset.len() as u64, &mut data).unwrap();
|
||||
serialize_u128(|| dataset.iter().cloned(), dataset.len() as u32, &mut data).unwrap();
|
||||
}
|
||||
let compression = data.len() as f64 / (dataset.len() * 16) as f64;
|
||||
println!("Compression 50_000 chunks {:.4}", compression);
|
||||
@@ -103,7 +103,7 @@ fn bench_ip() {
|
||||
let mut data = vec![];
|
||||
{
|
||||
print_time!("creation");
|
||||
serialize_u128(|| dataset.iter().cloned(), dataset.len() as u64, &mut data).unwrap();
|
||||
serialize_u128(|| dataset.iter().cloned(), dataset.len() as u32, &mut data).unwrap();
|
||||
}
|
||||
|
||||
let compression = data.len() as f64 / (dataset.len() * 16) as f64;
|
||||
@@ -115,9 +115,15 @@ fn bench_ip() {
|
||||
|
||||
let decompressor = open_u128::<u128>(OwnedBytes::new(data)).unwrap();
|
||||
// Sample some ranges
|
||||
let mut doc_values = Vec::new();
|
||||
for value in dataset.iter().take(1110).skip(1100).cloned() {
|
||||
doc_values.clear();
|
||||
print_time!("get range");
|
||||
let doc_values = decompressor.get_between_vals(value..=value);
|
||||
decompressor.get_docids_for_value_range(
|
||||
value..=value,
|
||||
0..decompressor.num_vals(),
|
||||
&mut doc_values,
|
||||
);
|
||||
println!("{:?}", doc_values.len());
|
||||
}
|
||||
}
|
||||
|
||||
363
fastfield_codecs/src/null_index/dense.rs
Normal file
363
fastfield_codecs/src/null_index/dense.rs
Normal file
@@ -0,0 +1,363 @@
|
||||
use std::io::{self, Write};
|
||||
|
||||
use common::BinarySerializable;
|
||||
use itertools::Itertools;
|
||||
use ownedbytes::OwnedBytes;
|
||||
|
||||
use super::{get_bit_at, set_bit_at};
|
||||
|
||||
/// For the `DenseCodec`, `data` which contains the encoded blocks.
|
||||
/// Each block consists of [u8; 12]. The first 8 bytes is a bitvec for 64 elements.
|
||||
/// The last 4 bytes are the offset, the number of set bits so far.
|
||||
///
|
||||
/// When translating the original index to a dense index, the correct block can be computed
|
||||
/// directly `orig_idx/64`. Inside the block the position is `orig_idx%64`.
|
||||
///
|
||||
/// When translating a dense index to the original index, we can use the offset to find the correct
|
||||
/// block. Direct computation is not possible, but we can employ a linear or binary search.
|
||||
pub struct DenseCodec {
|
||||
// data consists of blocks of 64 bits.
|
||||
//
|
||||
// The format is &[(u64, u32)]
|
||||
// u64 is the bitvec
|
||||
// u32 is the offset of the block, the number of set bits so far.
|
||||
//
|
||||
// At the end one block is appended, to store the number of values in the index in offset.
|
||||
data: Vec<IndexBlock>,
|
||||
}
|
||||
const ELEMENTS_PER_BLOCK: u32 = 32;
|
||||
|
||||
#[inline]
|
||||
fn count_ones(block: u32, pos_in_block: u32) -> u32 {
|
||||
unsafe { core::arch::x86_64::_bzhi_u32(block, pos_in_block + 1) }.count_ones()
|
||||
// if pos_in_block == 31 {
|
||||
// block.count_ones()
|
||||
// } else {
|
||||
// let mask = (1u32 << (pos_in_block + 1)) - 1;
|
||||
// let masked_block = block & mask;
|
||||
// masked_block.count_ones()
|
||||
// }
|
||||
}
|
||||
|
||||
#[derive(Copy, Clone, Debug)]
|
||||
pub struct IndexBlock {
|
||||
bitvec: u32,
|
||||
offset: u32,
|
||||
}
|
||||
|
||||
impl DenseCodec {
|
||||
/// Open the DenseCodec from OwnedBytes
|
||||
pub fn open(data: Vec<IndexBlock>) -> Self {
|
||||
Self { data }
|
||||
}
|
||||
#[inline]
|
||||
/// Check if value at position is not null.
|
||||
pub fn exists(&self, idx: u32) -> bool {
|
||||
let block_pos = idx / ELEMENTS_PER_BLOCK;
|
||||
let bitvec: u32 = self.block(block_pos);
|
||||
let pos_in_block = idx % ELEMENTS_PER_BLOCK;
|
||||
get_bit_at(bitvec, pos_in_block)
|
||||
}
|
||||
|
||||
#[inline]
|
||||
pub(crate) fn block(&self, block_pos: u32) -> u32 {
|
||||
self.block_and_offset(block_pos).bitvec
|
||||
}
|
||||
|
||||
#[inline]
|
||||
/// Returns (bitvec, offset)
|
||||
///
|
||||
/// offset is the start offset of actual docids in the block.
|
||||
pub(crate) fn block_and_offset(&self, block_pos: u32) -> IndexBlock {
|
||||
self.data[block_pos as usize]
|
||||
}
|
||||
|
||||
/// Return the number of non-null values in an index
|
||||
pub fn num_non_null_vals(&self) -> u32 {
|
||||
let last_block = self.data.len() - 1;
|
||||
self.block_and_offset(last_block as u32).offset
|
||||
}
|
||||
|
||||
#[inline]
|
||||
/// Translate from the original index to the codec index.
|
||||
pub fn translate_to_codec_idx(&self, idx: u32) -> Option<u32> {
|
||||
let block_pos = idx / ELEMENTS_PER_BLOCK;
|
||||
let IndexBlock { bitvec: block, offset } = self.block_and_offset(block_pos);
|
||||
let pos_in_block = idx % ELEMENTS_PER_BLOCK;
|
||||
let ones_in_block = count_ones(block, pos_in_block);
|
||||
if get_bit_at(block, pos_in_block) {
|
||||
Some(offset + ones_in_block - 1) // -1 is ok, since idx does exist, so there's at least
|
||||
// one
|
||||
} else {
|
||||
None
|
||||
}
|
||||
}
|
||||
|
||||
/// Translate positions from the codec index to the original index.
|
||||
///
|
||||
/// # Panics
|
||||
///
|
||||
/// May panic if any `idx` is greater than the column length.
|
||||
pub fn translate_codec_idx_to_original_idx<'a>(
|
||||
&'a self,
|
||||
iter: impl Iterator<Item = u32> + 'a,
|
||||
) -> impl Iterator<Item = u32> + 'a {
|
||||
let mut block_pos = 0u32;
|
||||
iter.map(move |dense_idx| {
|
||||
// update block_pos to limit search scope
|
||||
block_pos = find_block(dense_idx, block_pos, &self.data);
|
||||
let IndexBlock { bitvec, offset} = self.block_and_offset(block_pos);
|
||||
// The next offset is higher than dense_idx and therefore:
|
||||
// dense_idx <= offset + num_set_bits in block
|
||||
let mut num_set_bits = 0;
|
||||
for idx_in_block in 0..ELEMENTS_PER_BLOCK {
|
||||
if get_bit_at(bitvec, idx_in_block) {
|
||||
num_set_bits += 1;
|
||||
}
|
||||
if num_set_bits == (dense_idx - offset + 1) {
|
||||
let orig_idx = block_pos * ELEMENTS_PER_BLOCK + idx_in_block as u32;
|
||||
return orig_idx;
|
||||
}
|
||||
}
|
||||
panic!("Internal Error: Offset calculation in dense idx seems to be wrong.");
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[inline]
|
||||
/// Finds the block position containing the dense_idx.
|
||||
///
|
||||
/// # Correctness
|
||||
/// dense_idx needs to be smaller than the number of values in the index
|
||||
///
|
||||
/// The last offset number is equal to the number of values in the index.
|
||||
fn find_block(dense_idx: u32, mut block_pos: u32, data: &[IndexBlock]) -> u32 {
|
||||
for i in block_pos.. {
|
||||
let index_block = &data[i as usize];
|
||||
if index_block.offset > dense_idx {
|
||||
// offset
|
||||
return i - 1;
|
||||
}
|
||||
}
|
||||
unreachable!()
|
||||
}
|
||||
|
||||
/// Iterator over all values, true if set, otherwise false
|
||||
pub fn serialize_dense_codec(
|
||||
iter: impl Iterator<Item = bool>,
|
||||
out: &mut Vec<IndexBlock>,
|
||||
) -> io::Result<()> {
|
||||
let mut offset: u32 = 0;
|
||||
|
||||
for chunk in &iter.chunks(ELEMENTS_PER_BLOCK as usize) {
|
||||
let mut bitvec: u32 = 0;
|
||||
for (pos, is_bit_set) in chunk.enumerate() {
|
||||
if is_bit_set {
|
||||
set_bit_at(&mut bitvec, pos as u32);
|
||||
}
|
||||
}
|
||||
out.push(IndexBlock { bitvec, offset});
|
||||
offset += bitvec.count_ones() as u32;
|
||||
}
|
||||
// Add sentinal block for the offset
|
||||
out.push(IndexBlock { bitvec: 0, offset });
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use proptest::prelude::{any, prop, *};
|
||||
use proptest::strategy::Strategy;
|
||||
use proptest::{prop_oneof, proptest};
|
||||
|
||||
use super::*;
|
||||
|
||||
fn random_bitvec() -> BoxedStrategy<Vec<bool>> {
|
||||
prop_oneof![
|
||||
1 => prop::collection::vec(proptest::bool::weighted(1.0), 0..100),
|
||||
1 => prop::collection::vec(proptest::bool::weighted(1.0), 0..64),
|
||||
1 => prop::collection::vec(proptest::bool::weighted(0.0), 0..100),
|
||||
1 => prop::collection::vec(proptest::bool::weighted(0.0), 0..64),
|
||||
8 => vec![any::<bool>()],
|
||||
2 => prop::collection::vec(any::<bool>(), 0..50),
|
||||
]
|
||||
.boxed()
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_with_random_bitvecs_simple() {
|
||||
let mut bitvec = Vec::new();
|
||||
bitvec.extend_from_slice(&[]);
|
||||
bitvec.extend_from_slice(&[]);
|
||||
bitvec.extend_from_slice(&[true]);
|
||||
test_null_index(bitvec);
|
||||
}
|
||||
|
||||
proptest! {
|
||||
#![proptest_config(ProptestConfig::with_cases(500))]
|
||||
#[test]
|
||||
fn test_with_random_bitvecs(bitvec1 in random_bitvec(), bitvec2 in random_bitvec(), bitvec3 in random_bitvec()) {
|
||||
let mut bitvec = Vec::new();
|
||||
bitvec.extend_from_slice(&bitvec1);
|
||||
bitvec.extend_from_slice(&bitvec2);
|
||||
bitvec.extend_from_slice(&bitvec3);
|
||||
test_null_index(bitvec);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn dense_codec_test_one_block_false() {
|
||||
let mut iter = vec![false; 64];
|
||||
iter.push(true);
|
||||
test_null_index(iter);
|
||||
}
|
||||
|
||||
fn test_null_index(data: Vec<bool>) {
|
||||
let mut out = vec![];
|
||||
|
||||
serialize_dense_codec(data.iter().cloned(), &mut out).unwrap();
|
||||
dbg!(&out);
|
||||
let null_index = DenseCodec::open(out);
|
||||
|
||||
let orig_idx_with_value: Vec<u32> = data
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter(|(_pos, val)| **val)
|
||||
.map(|(pos, _val)| pos as u32)
|
||||
.collect();
|
||||
|
||||
assert_eq!(
|
||||
null_index
|
||||
.translate_codec_idx_to_original_idx(0..orig_idx_with_value.len() as u32)
|
||||
.collect_vec(),
|
||||
orig_idx_with_value
|
||||
);
|
||||
|
||||
for (dense_idx, orig_idx) in orig_idx_with_value.iter().enumerate() {
|
||||
assert_eq!(
|
||||
null_index.translate_to_codec_idx(*orig_idx),
|
||||
Some(dense_idx as u32)
|
||||
);
|
||||
}
|
||||
|
||||
for (pos, value) in data.iter().enumerate() {
|
||||
assert_eq!(null_index.exists(pos as u32), *value);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn dense_codec_test_translation() {
|
||||
let mut out = vec![];
|
||||
|
||||
let iter = ([true, false, true, false]).iter().cloned();
|
||||
serialize_dense_codec(iter, &mut out).unwrap();
|
||||
let null_index = DenseCodec::open(out);
|
||||
|
||||
assert_eq!(
|
||||
null_index
|
||||
.translate_codec_idx_to_original_idx(0..2)
|
||||
.collect_vec(),
|
||||
vec![0, 2]
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn dense_codec_translate() {
|
||||
let mut out = vec![];
|
||||
|
||||
let iter = ([true, false, true, false]).iter().cloned();
|
||||
serialize_dense_codec(iter, &mut out).unwrap();
|
||||
let null_index = DenseCodec::open(out);
|
||||
assert_eq!(null_index.translate_to_codec_idx(0), Some(0));
|
||||
assert_eq!(null_index.translate_to_codec_idx(2), Some(1));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn dense_codec_test_small() {
|
||||
let mut out = vec![];
|
||||
|
||||
let iter = ([true, false, true, false]).iter().cloned();
|
||||
serialize_dense_codec(iter, &mut out).unwrap();
|
||||
let null_index = DenseCodec::open(out);
|
||||
assert!(null_index.exists(0));
|
||||
assert!(!null_index.exists(1));
|
||||
assert!(null_index.exists(2));
|
||||
assert!(!null_index.exists(3));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn dense_codec_test_large() {
|
||||
let mut docs = vec![];
|
||||
docs.extend((0..1000).map(|_idx| false));
|
||||
docs.extend((0..=1000).map(|_idx| true));
|
||||
|
||||
let iter = docs.iter().cloned();
|
||||
let mut out = vec![];
|
||||
serialize_dense_codec(iter, &mut out).unwrap();
|
||||
let null_index = DenseCodec::open(out);
|
||||
assert!(!null_index.exists(0));
|
||||
assert!(!null_index.exists(100));
|
||||
assert!(!null_index.exists(999));
|
||||
assert!(null_index.exists(1000));
|
||||
assert!(null_index.exists(1999));
|
||||
assert!(null_index.exists(2000));
|
||||
assert!(!null_index.exists(2001));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_count_ones() {
|
||||
let mut block = 0;
|
||||
set_bit_at(&mut block, 0);
|
||||
set_bit_at(&mut block, 2);
|
||||
|
||||
assert_eq!(count_ones(block, 0), 1);
|
||||
assert_eq!(count_ones(block, 1), 1);
|
||||
assert_eq!(count_ones(block, 2), 2);
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(all(test, feature = "unstable"))]
|
||||
mod bench {
|
||||
|
||||
|
||||
use rand::rngs::StdRng;
|
||||
use rand::{Rng, SeedableRng};
|
||||
use test::Bencher;
|
||||
|
||||
use super::*;
|
||||
|
||||
fn gen_bools() -> DenseCodec {
|
||||
let mut out = Vec::new();
|
||||
let mut rng: StdRng = StdRng::from_seed([1u8; 32]);
|
||||
// 80% of values are set
|
||||
let bools: Vec<_> = (0..100_000).map(|_| rng.gen_bool(8f64 / 10f64)).collect();
|
||||
serialize_dense_codec(bools.into_iter(), &mut out).unwrap();
|
||||
|
||||
let codec = DenseCodec::open(out);
|
||||
codec
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_dense_codec_translate_orig_to_dense(bench: &mut Bencher) {
|
||||
let codec = gen_bools();
|
||||
bench.iter(|| {
|
||||
let mut dense_idx: Option<u32> = None;
|
||||
for idx in 0..100_000 {
|
||||
dense_idx = dense_idx.or(codec.translate_to_codec_idx(idx));
|
||||
}
|
||||
dense_idx
|
||||
});
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_dense_codec_translate_dense_to_orig(bench: &mut Bencher) {
|
||||
let codec = gen_bools();
|
||||
let num_vals = codec.num_non_null_vals();
|
||||
bench.iter(|| {
|
||||
codec
|
||||
.translate_codec_idx_to_original_idx(0..num_vals)
|
||||
.last()
|
||||
});
|
||||
}
|
||||
}
|
||||
15
fastfield_codecs/src/null_index/mod.rs
Normal file
15
fastfield_codecs/src/null_index/mod.rs
Normal file
@@ -0,0 +1,15 @@
|
||||
pub use dense::{serialize_dense_codec, DenseCodec};
|
||||
|
||||
mod dense;
|
||||
|
||||
|
||||
|
||||
#[inline(always)]
|
||||
fn get_bit_at(input: u32, n: u32) -> bool {
|
||||
input & (1 << n) != 0
|
||||
}
|
||||
|
||||
#[inline(always)]
|
||||
fn set_bit_at(input: &mut u32, n: u32) {
|
||||
*input |= 1 << n;
|
||||
}
|
||||
144
fastfield_codecs/src/null_index_footer.rs
Normal file
144
fastfield_codecs/src/null_index_footer.rs
Normal file
@@ -0,0 +1,144 @@
|
||||
use std::io::{self, Write};
|
||||
use std::ops::Range;
|
||||
|
||||
use common::{BinarySerializable, CountingWriter, VInt};
|
||||
use ownedbytes::OwnedBytes;
|
||||
|
||||
#[derive(Debug, Clone, Copy, Eq, PartialEq)]
|
||||
pub(crate) enum FastFieldCardinality {
|
||||
Single = 1,
|
||||
}
|
||||
|
||||
impl BinarySerializable for FastFieldCardinality {
|
||||
fn serialize<W: Write>(&self, wrt: &mut W) -> io::Result<()> {
|
||||
self.to_code().serialize(wrt)
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let code = u8::deserialize(reader)?;
|
||||
let codec_type: Self = Self::from_code(code)
|
||||
.ok_or_else(|| io::Error::new(io::ErrorKind::InvalidData, "Unknown code `{code}.`"))?;
|
||||
Ok(codec_type)
|
||||
}
|
||||
}
|
||||
|
||||
impl FastFieldCardinality {
|
||||
pub(crate) fn to_code(self) -> u8 {
|
||||
self as u8
|
||||
}
|
||||
|
||||
pub(crate) fn from_code(code: u8) -> Option<Self> {
|
||||
match code {
|
||||
1 => Some(Self::Single),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
|
||||
pub(crate) enum NullIndexCodec {
|
||||
Full = 1,
|
||||
}
|
||||
|
||||
impl BinarySerializable for NullIndexCodec {
|
||||
fn serialize<W: Write>(&self, wrt: &mut W) -> io::Result<()> {
|
||||
self.to_code().serialize(wrt)
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let code = u8::deserialize(reader)?;
|
||||
let codec_type: Self = Self::from_code(code)
|
||||
.ok_or_else(|| io::Error::new(io::ErrorKind::InvalidData, "Unknown code `{code}.`"))?;
|
||||
Ok(codec_type)
|
||||
}
|
||||
}
|
||||
|
||||
impl NullIndexCodec {
|
||||
pub(crate) fn to_code(self) -> u8 {
|
||||
self as u8
|
||||
}
|
||||
|
||||
pub(crate) fn from_code(code: u8) -> Option<Self> {
|
||||
match code {
|
||||
1 => Some(Self::Full),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Eq, PartialEq)]
|
||||
pub(crate) struct NullIndexFooter {
|
||||
pub(crate) cardinality: FastFieldCardinality,
|
||||
pub(crate) null_index_codec: NullIndexCodec,
|
||||
// Unused for NullIndexCodec::Full
|
||||
pub(crate) null_index_byte_range: Range<u64>,
|
||||
}
|
||||
|
||||
impl BinarySerializable for NullIndexFooter {
|
||||
fn serialize<W: Write>(&self, writer: &mut W) -> io::Result<()> {
|
||||
self.cardinality.serialize(writer)?;
|
||||
self.null_index_codec.serialize(writer)?;
|
||||
VInt(self.null_index_byte_range.start).serialize(writer)?;
|
||||
VInt(self.null_index_byte_range.end - self.null_index_byte_range.start)
|
||||
.serialize(writer)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let cardinality = FastFieldCardinality::deserialize(reader)?;
|
||||
let null_index_codec = NullIndexCodec::deserialize(reader)?;
|
||||
let null_index_byte_range_start = VInt::deserialize(reader)?.0;
|
||||
let null_index_byte_range_end = VInt::deserialize(reader)?.0 + null_index_byte_range_start;
|
||||
Ok(Self {
|
||||
cardinality,
|
||||
null_index_codec,
|
||||
null_index_byte_range: null_index_byte_range_start..null_index_byte_range_end,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn append_null_index_footer(
|
||||
output: &mut impl io::Write,
|
||||
null_index_footer: NullIndexFooter,
|
||||
) -> io::Result<()> {
|
||||
let mut counting_write = CountingWriter::wrap(output);
|
||||
null_index_footer.serialize(&mut counting_write)?;
|
||||
let footer_payload_len = counting_write.written_bytes();
|
||||
BinarySerializable::serialize(&(footer_payload_len as u16), &mut counting_write)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub(crate) fn read_null_index_footer(
|
||||
data: OwnedBytes,
|
||||
) -> io::Result<(OwnedBytes, NullIndexFooter)> {
|
||||
let (data, null_footer_length_bytes) = data.rsplit(2);
|
||||
|
||||
let footer_length = u16::deserialize(&mut null_footer_length_bytes.as_slice())?;
|
||||
let (data, null_index_footer_bytes) = data.rsplit(footer_length as usize);
|
||||
let null_index_footer = NullIndexFooter::deserialize(&mut null_index_footer_bytes.as_ref())?;
|
||||
|
||||
Ok((data, null_index_footer))
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn null_index_footer_deser_test() {
|
||||
let null_index_footer = NullIndexFooter {
|
||||
cardinality: FastFieldCardinality::Single,
|
||||
null_index_codec: NullIndexCodec::Full,
|
||||
null_index_byte_range: 100..120,
|
||||
};
|
||||
|
||||
let mut out = vec![];
|
||||
null_index_footer.serialize(&mut out).unwrap();
|
||||
|
||||
assert_eq!(
|
||||
null_index_footer,
|
||||
NullIndexFooter::deserialize(&mut &out[..]).unwrap()
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -28,14 +28,18 @@ use ownedbytes::OwnedBytes;
|
||||
use crate::bitpacked::BitpackedCodec;
|
||||
use crate::blockwise_linear::BlockwiseLinearCodec;
|
||||
use crate::compact_space::CompactSpaceCompressor;
|
||||
use crate::format_version::append_format_version;
|
||||
use crate::linear::LinearCodec;
|
||||
use crate::monotonic_mapping::{
|
||||
StrictlyMonotonicFn, StrictlyMonotonicMappingToInternal,
|
||||
StrictlyMonotonicMappingToInternalGCDBaseval,
|
||||
};
|
||||
use crate::null_index_footer::{
|
||||
append_null_index_footer, FastFieldCardinality, NullIndexCodec, NullIndexFooter,
|
||||
};
|
||||
use crate::{
|
||||
monotonic_map_column, Column, FastFieldCodec, FastFieldCodecType, MonotonicallyMappableToU64,
|
||||
VecColumn, ALL_CODEC_TYPES,
|
||||
U128FastFieldCodecType, VecColumn, ALL_CODEC_TYPES,
|
||||
};
|
||||
|
||||
/// The normalized header gives some parameters after applying the following
|
||||
@@ -46,14 +50,14 @@ use crate::{
|
||||
#[derive(Debug, Copy, Clone)]
|
||||
pub struct NormalizedHeader {
|
||||
/// The number of values in the underlying column.
|
||||
pub num_vals: u64,
|
||||
pub num_vals: u32,
|
||||
/// The max value of the underlying column.
|
||||
pub max_value: u64,
|
||||
}
|
||||
|
||||
#[derive(Debug, Copy, Clone)]
|
||||
pub(crate) struct Header {
|
||||
pub num_vals: u64,
|
||||
pub num_vals: u32,
|
||||
pub min_value: u64,
|
||||
pub max_value: u64,
|
||||
pub gcd: Option<NonZeroU64>,
|
||||
@@ -98,6 +102,29 @@ impl Header {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Copy, Clone, PartialEq, Eq)]
|
||||
pub(crate) struct U128Header {
|
||||
pub num_vals: u32,
|
||||
pub codec_type: U128FastFieldCodecType,
|
||||
}
|
||||
|
||||
impl BinarySerializable for U128Header {
|
||||
fn serialize<W: io::Write>(&self, writer: &mut W) -> io::Result<()> {
|
||||
VInt(self.num_vals as u64).serialize(writer)?;
|
||||
self.codec_type.serialize(writer)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let num_vals = VInt::deserialize(reader)?.0 as u32;
|
||||
let codec_type = U128FastFieldCodecType::deserialize(reader)?;
|
||||
Ok(U128Header {
|
||||
num_vals,
|
||||
codec_type,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
pub fn normalize_column<C: Column>(
|
||||
from_column: C,
|
||||
min_value: u64,
|
||||
@@ -110,7 +137,7 @@ pub fn normalize_column<C: Column>(
|
||||
|
||||
impl BinarySerializable for Header {
|
||||
fn serialize<W: io::Write>(&self, writer: &mut W) -> io::Result<()> {
|
||||
VInt(self.num_vals).serialize(writer)?;
|
||||
VInt(self.num_vals as u64).serialize(writer)?;
|
||||
VInt(self.min_value).serialize(writer)?;
|
||||
VInt(self.max_value - self.min_value).serialize(writer)?;
|
||||
if let Some(gcd) = self.gcd {
|
||||
@@ -123,7 +150,7 @@ impl BinarySerializable for Header {
|
||||
}
|
||||
|
||||
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
|
||||
let num_vals = VInt::deserialize(reader)?.0;
|
||||
let num_vals = VInt::deserialize(reader)?.0 as u32;
|
||||
let min_value = VInt::deserialize(reader)?.0;
|
||||
let amplitude = VInt::deserialize(reader)?.0;
|
||||
let max_value = min_value + amplitude;
|
||||
@@ -164,13 +191,25 @@ pub fn estimate<T: MonotonicallyMappableToU64>(
|
||||
/// Serializes u128 values with the compact space codec.
|
||||
pub fn serialize_u128<F: Fn() -> I, I: Iterator<Item = u128>>(
|
||||
iter_gen: F,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
output: &mut impl io::Write,
|
||||
) -> io::Result<()> {
|
||||
// TODO write header, to later support more codecs
|
||||
let header = U128Header {
|
||||
num_vals,
|
||||
codec_type: U128FastFieldCodecType::CompactSpace,
|
||||
};
|
||||
header.serialize(output)?;
|
||||
let compressor = CompactSpaceCompressor::train_from(iter_gen(), num_vals);
|
||||
compressor.compress_into(iter_gen(), output).unwrap();
|
||||
|
||||
let null_index_footer = NullIndexFooter {
|
||||
cardinality: FastFieldCardinality::Single,
|
||||
null_index_codec: NullIndexCodec::Full,
|
||||
null_index_byte_range: 0..0,
|
||||
};
|
||||
append_null_index_footer(output, null_index_footer)?;
|
||||
append_format_version(output)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -194,6 +233,15 @@ pub fn serialize<T: MonotonicallyMappableToU64>(
|
||||
let normalized_column = header.normalize_column(column);
|
||||
assert_eq!(normalized_column.min_value(), 0u64);
|
||||
serialize_given_codec(normalized_column, header.codec_type, output)?;
|
||||
|
||||
let null_index_footer = NullIndexFooter {
|
||||
cardinality: FastFieldCardinality::Single,
|
||||
null_index_codec: NullIndexCodec::Full,
|
||||
null_index_byte_range: 0..0,
|
||||
};
|
||||
append_null_index_footer(output, null_index_footer)?;
|
||||
append_format_version(output)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -258,6 +306,18 @@ pub fn serialize_and_load<T: MonotonicallyMappableToU64 + Ord + Default>(
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_serialize_deserialize_u128_header() {
|
||||
let original = U128Header {
|
||||
num_vals: 11,
|
||||
codec_type: U128FastFieldCodecType::CompactSpace,
|
||||
};
|
||||
let mut out = Vec::new();
|
||||
original.serialize(&mut out).unwrap();
|
||||
let restored = U128Header::deserialize(&mut &out[..]).unwrap();
|
||||
assert_eq!(restored, original);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_serialize_deserialize() {
|
||||
let original = [1u64, 5u64, 10u64];
|
||||
@@ -271,7 +331,7 @@ mod tests {
|
||||
let col = VecColumn::from(&[false, true][..]);
|
||||
serialize(col, &mut buffer, &ALL_CODEC_TYPES).unwrap();
|
||||
// 5 bytes of header, 1 byte of value, 7 bytes of padding.
|
||||
assert_eq!(buffer.len(), 5 + 8);
|
||||
assert_eq!(buffer.len(), 3 + 5 + 8 + 4 + 2);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -280,7 +340,7 @@ mod tests {
|
||||
let col = VecColumn::from(&[true][..]);
|
||||
serialize(col, &mut buffer, &ALL_CODEC_TYPES).unwrap();
|
||||
// 5 bytes of header, 0 bytes of value, 7 bytes of padding.
|
||||
assert_eq!(buffer.len(), 5 + 7);
|
||||
assert_eq!(buffer.len(), 3 + 5 + 7 + 4 + 2);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -290,6 +350,6 @@ mod tests {
|
||||
let col = VecColumn::from(&vals[..]);
|
||||
serialize(col, &mut buffer, &[FastFieldCodecType::Bitpacked]).unwrap();
|
||||
// Values are stored over 3 bits.
|
||||
assert_eq!(buffer.len(), 7 + (3 * 80 / 8) + 7);
|
||||
assert_eq!(buffer.len(), 3 + 7 + (3 * 80 / 8) + 7 + 4 + 2);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -80,6 +80,21 @@ impl OwnedBytes {
|
||||
(left, right)
|
||||
}
|
||||
|
||||
/// Splits the OwnedBytes into two OwnedBytes `(left, right)`.
|
||||
///
|
||||
/// Right will hold `split_len` bytes.
|
||||
///
|
||||
/// This operation is cheap and does not require to copy any memory.
|
||||
/// On the other hand, both `left` and `right` retain a handle over
|
||||
/// the entire slice of memory. In other words, the memory will only
|
||||
/// be released when both left and right are dropped.
|
||||
#[inline]
|
||||
#[must_use]
|
||||
pub fn rsplit(self, split_len: usize) -> (OwnedBytes, OwnedBytes) {
|
||||
let data_len = self.data.len();
|
||||
self.split(data_len - split_len)
|
||||
}
|
||||
|
||||
/// Splits the right part of the `OwnedBytes` at the given offset.
|
||||
///
|
||||
/// `self` is truncated to `split_len`, left with the remaining bytes.
|
||||
|
||||
@@ -5,7 +5,8 @@ use combine::parser::range::{take_while, take_while1};
|
||||
use combine::parser::repeat::escaped;
|
||||
use combine::parser::Parser;
|
||||
use combine::{
|
||||
attempt, choice, eof, many, many1, one_of, optional, parser, satisfy, skip_many1, value,
|
||||
attempt, between, choice, eof, many, many1, one_of, optional, parser, satisfy, sep_by,
|
||||
skip_many1, value,
|
||||
};
|
||||
use once_cell::sync::Lazy;
|
||||
use regex::Regex;
|
||||
@@ -62,6 +63,20 @@ fn word<'a>() -> impl Parser<&'a str, Output = String> {
|
||||
})
|
||||
}
|
||||
|
||||
// word variant that allows more characters, e.g. for range queries that don't allow field
|
||||
// specifier
|
||||
fn relaxed_word<'a>() -> impl Parser<&'a str, Output = String> {
|
||||
(
|
||||
satisfy(|c: char| {
|
||||
!c.is_whitespace() && !['`', '{', '}', '"', '[', ']', '(', ')'].contains(&c)
|
||||
}),
|
||||
many(satisfy(|c: char| {
|
||||
!c.is_whitespace() && !['{', '}', '"', '[', ']', '(', ')'].contains(&c)
|
||||
})),
|
||||
)
|
||||
.map(|(s1, s2): (char, String)| format!("{}{}", s1, s2))
|
||||
}
|
||||
|
||||
/// Parses a date time according to rfc3339
|
||||
/// 2015-08-02T18:54:42+02
|
||||
/// 2021-04-13T19:46:26.266051969+00:00
|
||||
@@ -181,8 +196,8 @@ fn spaces1<'a>() -> impl Parser<&'a str, Output = ()> {
|
||||
fn range<'a>() -> impl Parser<&'a str, Output = UserInputLeaf> {
|
||||
let range_term_val = || {
|
||||
attempt(date_time())
|
||||
.or(word())
|
||||
.or(negative_number())
|
||||
.or(relaxed_word())
|
||||
.or(char('*').with(value("*".to_string())))
|
||||
};
|
||||
|
||||
@@ -250,6 +265,17 @@ fn range<'a>() -> impl Parser<&'a str, Output = UserInputLeaf> {
|
||||
})
|
||||
}
|
||||
|
||||
/// Function that parses a set out of a Stream
|
||||
/// Supports ranges like: `IN [val1 val2 val3]`
|
||||
fn set<'a>() -> impl Parser<&'a str, Output = UserInputLeaf> {
|
||||
let term_list = between(char('['), char(']'), sep_by(term_val(), spaces()));
|
||||
|
||||
let set_content = ((string("IN"), spaces()), term_list).map(|(_, elements)| elements);
|
||||
|
||||
(optional(attempt(field_name().skip(spaces()))), set_content)
|
||||
.map(|(field, elements)| UserInputLeaf::Set { field, elements })
|
||||
}
|
||||
|
||||
fn negate(expr: UserInputAst) -> UserInputAst {
|
||||
expr.unary(Occur::MustNot)
|
||||
}
|
||||
@@ -264,6 +290,7 @@ fn leaf<'a>() -> impl Parser<&'a str, Output = UserInputAst> {
|
||||
string("NOT").skip(spaces1()).with(leaf()).map(negate),
|
||||
))
|
||||
.or(attempt(range().map(UserInputAst::from)))
|
||||
.or(attempt(set().map(UserInputAst::from)))
|
||||
.or(literal().map(UserInputAst::from))
|
||||
.parse_stream(input)
|
||||
.into_result()
|
||||
@@ -649,6 +676,34 @@ mod test {
|
||||
.expect("Cannot parse date range")
|
||||
.0;
|
||||
assert_eq!(res6, expected_flexible_dates);
|
||||
// IP Range Unbounded
|
||||
let expected_weight = UserInputLeaf::Range {
|
||||
field: Some("ip".to_string()),
|
||||
lower: UserInputBound::Inclusive("::1".to_string()),
|
||||
upper: UserInputBound::Unbounded,
|
||||
};
|
||||
let res1 = range()
|
||||
.parse("ip: >=::1")
|
||||
.expect("Cannot parse ip v6 format")
|
||||
.0;
|
||||
let res2 = range()
|
||||
.parse("ip:[::1 TO *}")
|
||||
.expect("Cannot parse ip v6 format")
|
||||
.0;
|
||||
assert_eq!(res1, expected_weight);
|
||||
assert_eq!(res2, expected_weight);
|
||||
|
||||
// IP Range Bounded
|
||||
let expected_weight = UserInputLeaf::Range {
|
||||
field: Some("ip".to_string()),
|
||||
lower: UserInputBound::Inclusive("::0.0.0.50".to_string()),
|
||||
upper: UserInputBound::Exclusive("::0.0.0.52".to_string()),
|
||||
};
|
||||
let res1 = range()
|
||||
.parse("ip:[::0.0.0.50 TO ::0.0.0.52}")
|
||||
.expect("Cannot parse ip v6 format")
|
||||
.0;
|
||||
assert_eq!(res1, expected_weight);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -705,6 +760,14 @@ mod test {
|
||||
test_parse_query_to_ast_helper("+(a b) +d", "(+(*\"a\" *\"b\") +\"d\")");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_parse_test_query_set() {
|
||||
test_parse_query_to_ast_helper("abc: IN [a b c]", r#""abc": IN ["a" "b" "c"]"#);
|
||||
test_parse_query_to_ast_helper("abc: IN [1]", r#""abc": IN ["1"]"#);
|
||||
test_parse_query_to_ast_helper("abc: IN []", r#""abc": IN []"#);
|
||||
test_parse_query_to_ast_helper("IN [1 2]", r#"IN ["1" "2"]"#);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_parse_test_query_other() {
|
||||
test_parse_query_to_ast_helper("(+a +b) d", "(*(+\"a\" +\"b\") *\"d\")");
|
||||
|
||||
@@ -12,6 +12,10 @@ pub enum UserInputLeaf {
|
||||
lower: UserInputBound,
|
||||
upper: UserInputBound,
|
||||
},
|
||||
Set {
|
||||
field: Option<String>,
|
||||
elements: Vec<String>,
|
||||
},
|
||||
}
|
||||
|
||||
impl Debug for UserInputLeaf {
|
||||
@@ -31,6 +35,19 @@ impl Debug for UserInputLeaf {
|
||||
upper.display_upper(formatter)?;
|
||||
Ok(())
|
||||
}
|
||||
UserInputLeaf::Set { field, elements } => {
|
||||
if let Some(ref field) = field {
|
||||
write!(formatter, "\"{}\": ", field)?;
|
||||
}
|
||||
write!(formatter, "IN [")?;
|
||||
for (i, element) in elements.iter().enumerate() {
|
||||
if i != 0 {
|
||||
write!(formatter, " ")?;
|
||||
}
|
||||
write!(formatter, "\"{}\"", element)?;
|
||||
}
|
||||
write!(formatter, "]")
|
||||
}
|
||||
UserInputLeaf::All => write!(formatter, "*"),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -11,7 +11,7 @@ use super::bucket::{HistogramAggregation, RangeAggregation, TermsAggregation};
|
||||
use super::metric::{AverageAggregation, StatsAggregation};
|
||||
use super::segment_agg_result::BucketCount;
|
||||
use super::VecWithNames;
|
||||
use crate::fastfield::{type_and_cardinality, FastType, MultiValuedFastFieldReader};
|
||||
use crate::fastfield::{type_and_cardinality, MultiValuedFastFieldReader};
|
||||
use crate::schema::{Cardinality, Type};
|
||||
use crate::{InvertedIndexReader, SegmentReader, TantivyError};
|
||||
|
||||
@@ -194,13 +194,7 @@ fn get_ff_reader_and_validate(
|
||||
.ok_or_else(|| TantivyError::FieldNotFound(field_name.to_string()))?;
|
||||
let field_type = reader.schema().get_field_entry(field).field_type();
|
||||
|
||||
if let Some((ff_type, field_cardinality)) = type_and_cardinality(field_type) {
|
||||
if ff_type == FastType::Date {
|
||||
return Err(TantivyError::InvalidArgument(
|
||||
"Unsupported field type date in aggregation".to_string(),
|
||||
));
|
||||
}
|
||||
|
||||
if let Some((_ff_type, field_cardinality)) = type_and_cardinality(field_type) {
|
||||
if cardinality != field_cardinality {
|
||||
return Err(TantivyError::InvalidArgument(format!(
|
||||
"Invalid field cardinality on field {} expected {:?}, but got {:?}",
|
||||
|
||||
@@ -4,9 +4,7 @@
|
||||
//! intermediate average results, which is the sum and the number of values. The actual average is
|
||||
//! calculated on the step from intermediate to final aggregation result tree.
|
||||
|
||||
use std::collections::HashMap;
|
||||
|
||||
use fnv::FnvHashMap;
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::agg_req::BucketAggregationInternal;
|
||||
@@ -14,11 +12,12 @@ use super::bucket::GetDocCount;
|
||||
use super::intermediate_agg_result::{IntermediateBucketResult, IntermediateMetricResult};
|
||||
use super::metric::{SingleMetricResult, Stats};
|
||||
use super::Key;
|
||||
use crate::schema::Schema;
|
||||
use crate::TantivyError;
|
||||
|
||||
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
|
||||
/// The final aggegation result.
|
||||
pub struct AggregationResults(pub HashMap<String, AggregationResult>);
|
||||
pub struct AggregationResults(pub FxHashMap<String, AggregationResult>);
|
||||
|
||||
impl AggregationResults {
|
||||
pub(crate) fn get_value_from_aggregation(
|
||||
@@ -131,9 +130,12 @@ pub enum BucketResult {
|
||||
}
|
||||
|
||||
impl BucketResult {
|
||||
pub(crate) fn empty_from_req(req: &BucketAggregationInternal) -> crate::Result<Self> {
|
||||
pub(crate) fn empty_from_req(
|
||||
req: &BucketAggregationInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<Self> {
|
||||
let empty_bucket = IntermediateBucketResult::empty_from_req(&req.bucket_agg);
|
||||
empty_bucket.into_final_bucket_result(req)
|
||||
empty_bucket.into_final_bucket_result(req, schema)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -145,7 +147,7 @@ pub enum BucketEntries<T> {
|
||||
/// Vector format bucket entries
|
||||
Vec(Vec<T>),
|
||||
/// HashMap format bucket entries
|
||||
HashMap(FnvHashMap<String, T>),
|
||||
HashMap(FxHashMap<String, T>),
|
||||
}
|
||||
|
||||
/// This is the default entry for a bucket, which contains a key, count, and optionally
|
||||
@@ -176,6 +178,9 @@ pub enum BucketEntries<T> {
|
||||
/// ```
|
||||
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
|
||||
pub struct BucketEntry {
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
/// The string representation of the bucket.
|
||||
pub key_as_string: Option<String>,
|
||||
/// The identifier of the bucket.
|
||||
pub key: Key,
|
||||
/// Number of documents in the bucket.
|
||||
@@ -240,4 +245,10 @@ pub struct RangeBucketEntry {
|
||||
/// The to range of the bucket. Equals `f64::MAX` when `None`.
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
pub to: Option<f64>,
|
||||
/// The optional string representation for the `from` range.
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
pub from_as_string: Option<String>,
|
||||
/// The optional string representation for the `to` range.
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
pub to_as_string: Option<String>,
|
||||
}
|
||||
|
||||
@@ -10,12 +10,12 @@ use crate::aggregation::agg_req_with_accessor::{
|
||||
AggregationsWithAccessor, BucketAggregationWithAccessor,
|
||||
};
|
||||
use crate::aggregation::agg_result::BucketEntry;
|
||||
use crate::aggregation::f64_from_fastfield_u64;
|
||||
use crate::aggregation::intermediate_agg_result::{
|
||||
IntermediateAggregationResults, IntermediateBucketResult, IntermediateHistogramBucketEntry,
|
||||
};
|
||||
use crate::aggregation::segment_agg_result::SegmentAggregationResultsCollector;
|
||||
use crate::schema::Type;
|
||||
use crate::aggregation::{f64_from_fastfield_u64, format_date};
|
||||
use crate::schema::{Schema, Type};
|
||||
use crate::{DocId, TantivyError};
|
||||
|
||||
/// Histogram is a bucket aggregation, where buckets are created dynamically for given `interval`.
|
||||
@@ -331,10 +331,10 @@ impl SegmentHistogramCollector {
|
||||
.expect("unexpected fast field cardinatility");
|
||||
let mut iter = doc.chunks_exact(4);
|
||||
for docs in iter.by_ref() {
|
||||
let val0 = self.f64_from_fastfield_u64(accessor.get_val(docs[0] as u64));
|
||||
let val1 = self.f64_from_fastfield_u64(accessor.get_val(docs[1] as u64));
|
||||
let val2 = self.f64_from_fastfield_u64(accessor.get_val(docs[2] as u64));
|
||||
let val3 = self.f64_from_fastfield_u64(accessor.get_val(docs[3] as u64));
|
||||
let val0 = self.f64_from_fastfield_u64(accessor.get_val(docs[0]));
|
||||
let val1 = self.f64_from_fastfield_u64(accessor.get_val(docs[1]));
|
||||
let val2 = self.f64_from_fastfield_u64(accessor.get_val(docs[2]));
|
||||
let val3 = self.f64_from_fastfield_u64(accessor.get_val(docs[3]));
|
||||
|
||||
let bucket_pos0 = get_bucket_num(val0);
|
||||
let bucket_pos1 = get_bucket_num(val1);
|
||||
@@ -371,7 +371,7 @@ impl SegmentHistogramCollector {
|
||||
)?;
|
||||
}
|
||||
for &doc in iter.remainder() {
|
||||
let val = f64_from_fastfield_u64(accessor.get_val(doc as u64), &self.field_type);
|
||||
let val = f64_from_fastfield_u64(accessor.get_val(doc), &self.field_type);
|
||||
if !bounds.contains(val) {
|
||||
continue;
|
||||
}
|
||||
@@ -451,6 +451,7 @@ fn intermediate_buckets_to_final_buckets_fill_gaps(
|
||||
buckets: Vec<IntermediateHistogramBucketEntry>,
|
||||
histogram_req: &HistogramAggregation,
|
||||
sub_aggregation: &AggregationsInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<Vec<BucketEntry>> {
|
||||
// Generate the full list of buckets without gaps.
|
||||
//
|
||||
@@ -491,7 +492,9 @@ fn intermediate_buckets_to_final_buckets_fill_gaps(
|
||||
sub_aggregation: empty_sub_aggregation.clone(),
|
||||
},
|
||||
})
|
||||
.map(|intermediate_bucket| intermediate_bucket.into_final_bucket_entry(sub_aggregation))
|
||||
.map(|intermediate_bucket| {
|
||||
intermediate_bucket.into_final_bucket_entry(sub_aggregation, schema)
|
||||
})
|
||||
.collect::<crate::Result<Vec<_>>>()
|
||||
}
|
||||
|
||||
@@ -500,20 +503,43 @@ pub(crate) fn intermediate_histogram_buckets_to_final_buckets(
|
||||
buckets: Vec<IntermediateHistogramBucketEntry>,
|
||||
histogram_req: &HistogramAggregation,
|
||||
sub_aggregation: &AggregationsInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<Vec<BucketEntry>> {
|
||||
if histogram_req.min_doc_count() == 0 {
|
||||
let mut buckets = if histogram_req.min_doc_count() == 0 {
|
||||
// With min_doc_count != 0, we may need to add buckets, so that there are no
|
||||
// gaps, since intermediate result does not contain empty buckets (filtered to
|
||||
// reduce serialization size).
|
||||
|
||||
intermediate_buckets_to_final_buckets_fill_gaps(buckets, histogram_req, sub_aggregation)
|
||||
intermediate_buckets_to_final_buckets_fill_gaps(
|
||||
buckets,
|
||||
histogram_req,
|
||||
sub_aggregation,
|
||||
schema,
|
||||
)?
|
||||
} else {
|
||||
buckets
|
||||
.into_iter()
|
||||
.filter(|histogram_bucket| histogram_bucket.doc_count >= histogram_req.min_doc_count())
|
||||
.map(|histogram_bucket| histogram_bucket.into_final_bucket_entry(sub_aggregation))
|
||||
.collect::<crate::Result<Vec<_>>>()
|
||||
.map(|histogram_bucket| {
|
||||
histogram_bucket.into_final_bucket_entry(sub_aggregation, schema)
|
||||
})
|
||||
.collect::<crate::Result<Vec<_>>>()?
|
||||
};
|
||||
|
||||
// If we have a date type on the histogram buckets, we add the `key_as_string` field as rfc339
|
||||
let field = schema
|
||||
.get_field(&histogram_req.field)
|
||||
.ok_or_else(|| TantivyError::FieldNotFound(histogram_req.field.to_string()))?;
|
||||
if schema.get_field_entry(field).field_type().is_date() {
|
||||
for bucket in buckets.iter_mut() {
|
||||
if let crate::aggregation::Key::F64(val) = bucket.key {
|
||||
let key_as_string = format_date(val as i64)?;
|
||||
bucket.key_as_string = Some(key_as_string);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(buckets)
|
||||
}
|
||||
|
||||
/// Applies req extended_bounds/hard_bounds on the min_max value
|
||||
@@ -1372,6 +1398,63 @@ mod tests {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn histogram_date_test_single_segment() -> crate::Result<()> {
|
||||
histogram_date_test_with_opt(true)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn histogram_date_test_multi_segment() -> crate::Result<()> {
|
||||
histogram_date_test_with_opt(false)
|
||||
}
|
||||
|
||||
fn histogram_date_test_with_opt(merge_segments: bool) -> crate::Result<()> {
|
||||
let index = get_test_index_2_segments(merge_segments)?;
|
||||
|
||||
let agg_req: Aggregations = vec![(
|
||||
"histogram".to_string(),
|
||||
Aggregation::Bucket(BucketAggregation {
|
||||
bucket_agg: BucketAggregationType::Histogram(HistogramAggregation {
|
||||
field: "date".to_string(),
|
||||
interval: 86400000000.0, // one day in microseconds
|
||||
..Default::default()
|
||||
}),
|
||||
sub_aggregation: Default::default(),
|
||||
}),
|
||||
)]
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let agg_res = exec_request(agg_req, &index)?;
|
||||
|
||||
let res: Value = serde_json::from_str(&serde_json::to_string(&agg_res)?)?;
|
||||
|
||||
assert_eq!(res["histogram"]["buckets"][0]["key"], 1546300800000000.0);
|
||||
assert_eq!(
|
||||
res["histogram"]["buckets"][0]["key_as_string"],
|
||||
"2019-01-01T00:00:00Z"
|
||||
);
|
||||
assert_eq!(res["histogram"]["buckets"][0]["doc_count"], 1);
|
||||
|
||||
assert_eq!(res["histogram"]["buckets"][1]["key"], 1546387200000000.0);
|
||||
assert_eq!(
|
||||
res["histogram"]["buckets"][1]["key_as_string"],
|
||||
"2019-01-02T00:00:00Z"
|
||||
);
|
||||
|
||||
assert_eq!(res["histogram"]["buckets"][1]["doc_count"], 5);
|
||||
|
||||
assert_eq!(res["histogram"]["buckets"][2]["key"], 1546473600000000.0);
|
||||
assert_eq!(
|
||||
res["histogram"]["buckets"][2]["key_as_string"],
|
||||
"2019-01-03T00:00:00Z"
|
||||
);
|
||||
|
||||
assert_eq!(res["histogram"]["buckets"][3], Value::Null);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn histogram_invalid_request() -> crate::Result<()> {
|
||||
let index = get_test_index_2_segments(true)?;
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
use std::fmt::Debug;
|
||||
use std::ops::Range;
|
||||
|
||||
use fnv::FnvHashMap;
|
||||
use fastfield_codecs::MonotonicallyMappableToU64;
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use crate::aggregation::agg_req_with_accessor::{
|
||||
@@ -11,7 +12,9 @@ use crate::aggregation::intermediate_agg_result::{
|
||||
IntermediateBucketResult, IntermediateRangeBucketEntry, IntermediateRangeBucketResult,
|
||||
};
|
||||
use crate::aggregation::segment_agg_result::{BucketCount, SegmentAggregationResultsCollector};
|
||||
use crate::aggregation::{f64_from_fastfield_u64, f64_to_fastfield_u64, Key, SerializedKey};
|
||||
use crate::aggregation::{
|
||||
f64_from_fastfield_u64, f64_to_fastfield_u64, format_date, Key, SerializedKey,
|
||||
};
|
||||
use crate::schema::Type;
|
||||
use crate::{DocId, TantivyError};
|
||||
|
||||
@@ -176,12 +179,12 @@ impl SegmentRangeCollector {
|
||||
) -> crate::Result<IntermediateBucketResult> {
|
||||
let field_type = self.field_type;
|
||||
|
||||
let buckets: FnvHashMap<SerializedKey, IntermediateRangeBucketEntry> = self
|
||||
let buckets: FxHashMap<SerializedKey, IntermediateRangeBucketEntry> = self
|
||||
.buckets
|
||||
.into_iter()
|
||||
.map(move |range_bucket| {
|
||||
Ok((
|
||||
range_to_string(&range_bucket.range, &field_type),
|
||||
range_to_string(&range_bucket.range, &field_type)?,
|
||||
range_bucket
|
||||
.bucket
|
||||
.into_intermediate_bucket_entry(&agg_with_accessor.sub_aggregation)?,
|
||||
@@ -209,8 +212,8 @@ impl SegmentRangeCollector {
|
||||
let key = range
|
||||
.key
|
||||
.clone()
|
||||
.map(Key::Str)
|
||||
.unwrap_or_else(|| range_to_key(&range.range, &field_type));
|
||||
.map(|key| Ok(Key::Str(key)))
|
||||
.unwrap_or_else(|| range_to_key(&range.range, &field_type))?;
|
||||
let to = if range.range.end == u64::MAX {
|
||||
None
|
||||
} else {
|
||||
@@ -228,6 +231,7 @@ impl SegmentRangeCollector {
|
||||
sub_aggregation,
|
||||
)?)
|
||||
};
|
||||
|
||||
Ok(SegmentRangeAndBucketEntry {
|
||||
range: range.range.clone(),
|
||||
bucket: SegmentRangeBucketEntry {
|
||||
@@ -263,10 +267,10 @@ impl SegmentRangeCollector {
|
||||
.as_single()
|
||||
.expect("unexpected fast field cardinality");
|
||||
for docs in iter.by_ref() {
|
||||
let val1 = accessor.get_val(docs[0] as u64);
|
||||
let val2 = accessor.get_val(docs[1] as u64);
|
||||
let val3 = accessor.get_val(docs[2] as u64);
|
||||
let val4 = accessor.get_val(docs[3] as u64);
|
||||
let val1 = accessor.get_val(docs[0]);
|
||||
let val2 = accessor.get_val(docs[1]);
|
||||
let val3 = accessor.get_val(docs[2]);
|
||||
let val4 = accessor.get_val(docs[3]);
|
||||
let bucket_pos1 = self.get_bucket_pos(val1);
|
||||
let bucket_pos2 = self.get_bucket_pos(val2);
|
||||
let bucket_pos3 = self.get_bucket_pos(val3);
|
||||
@@ -278,7 +282,7 @@ impl SegmentRangeCollector {
|
||||
self.increment_bucket(bucket_pos4, docs[3], &bucket_with_accessor.sub_aggregation)?;
|
||||
}
|
||||
for &doc in iter.remainder() {
|
||||
let val = accessor.get_val(doc as u64);
|
||||
let val = accessor.get_val(doc);
|
||||
let bucket_pos = self.get_bucket_pos(val);
|
||||
self.increment_bucket(bucket_pos, doc, &bucket_with_accessor.sub_aggregation)?;
|
||||
}
|
||||
@@ -402,34 +406,45 @@ fn extend_validate_ranges(
|
||||
Ok(converted_buckets)
|
||||
}
|
||||
|
||||
pub(crate) fn range_to_string(range: &Range<u64>, field_type: &Type) -> String {
|
||||
pub(crate) fn range_to_string(range: &Range<u64>, field_type: &Type) -> crate::Result<String> {
|
||||
// is_start is there for malformed requests, e.g. ig the user passes the range u64::MIN..0.0,
|
||||
// it should be rendered as "*-0" and not "*-*"
|
||||
let to_str = |val: u64, is_start: bool| {
|
||||
if (is_start && val == u64::MIN) || (!is_start && val == u64::MAX) {
|
||||
"*".to_string()
|
||||
Ok("*".to_string())
|
||||
} else if *field_type == Type::Date {
|
||||
let val = i64::from_u64(val);
|
||||
format_date(val)
|
||||
} else {
|
||||
f64_from_fastfield_u64(val, field_type).to_string()
|
||||
Ok(f64_from_fastfield_u64(val, field_type).to_string())
|
||||
}
|
||||
};
|
||||
|
||||
format!("{}-{}", to_str(range.start, true), to_str(range.end, false))
|
||||
Ok(format!(
|
||||
"{}-{}",
|
||||
to_str(range.start, true)?,
|
||||
to_str(range.end, false)?
|
||||
))
|
||||
}
|
||||
|
||||
pub(crate) fn range_to_key(range: &Range<u64>, field_type: &Type) -> Key {
|
||||
Key::Str(range_to_string(range, field_type))
|
||||
pub(crate) fn range_to_key(range: &Range<u64>, field_type: &Type) -> crate::Result<Key> {
|
||||
Ok(Key::Str(range_to_string(range, field_type)?))
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use fastfield_codecs::MonotonicallyMappableToU64;
|
||||
use serde_json::Value;
|
||||
|
||||
use super::*;
|
||||
use crate::aggregation::agg_req::{
|
||||
Aggregation, Aggregations, BucketAggregation, BucketAggregationType,
|
||||
};
|
||||
use crate::aggregation::tests::{exec_request_with_query, get_test_index_with_num_docs};
|
||||
use crate::aggregation::tests::{
|
||||
exec_request, exec_request_with_query, get_test_index_2_segments,
|
||||
get_test_index_with_num_docs,
|
||||
};
|
||||
|
||||
pub fn get_collector_from_ranges(
|
||||
ranges: Vec<RangeAggregationRange>,
|
||||
@@ -567,6 +582,77 @@ mod tests {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn range_date_test_single_segment() -> crate::Result<()> {
|
||||
range_date_test_with_opt(true)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn range_date_test_multi_segment() -> crate::Result<()> {
|
||||
range_date_test_with_opt(false)
|
||||
}
|
||||
|
||||
fn range_date_test_with_opt(merge_segments: bool) -> crate::Result<()> {
|
||||
let index = get_test_index_2_segments(merge_segments)?;
|
||||
|
||||
let agg_req: Aggregations = vec![(
|
||||
"date_ranges".to_string(),
|
||||
Aggregation::Bucket(BucketAggregation {
|
||||
bucket_agg: BucketAggregationType::Range(RangeAggregation {
|
||||
field: "date".to_string(),
|
||||
ranges: vec![
|
||||
RangeAggregationRange {
|
||||
key: None,
|
||||
from: None,
|
||||
to: Some(1546300800000000.0f64),
|
||||
},
|
||||
RangeAggregationRange {
|
||||
key: None,
|
||||
from: Some(1546300800000000.0f64),
|
||||
to: Some(1546387200000000.0f64),
|
||||
},
|
||||
],
|
||||
keyed: false,
|
||||
}),
|
||||
sub_aggregation: Default::default(),
|
||||
}),
|
||||
)]
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let agg_res = exec_request(agg_req, &index)?;
|
||||
|
||||
let res: Value = serde_json::from_str(&serde_json::to_string(&agg_res)?)?;
|
||||
|
||||
assert_eq!(
|
||||
res["date_ranges"]["buckets"][0]["from_as_string"],
|
||||
Value::Null
|
||||
);
|
||||
assert_eq!(
|
||||
res["date_ranges"]["buckets"][0]["key"],
|
||||
"*-2019-01-01T00:00:00Z"
|
||||
);
|
||||
assert_eq!(
|
||||
res["date_ranges"]["buckets"][1]["from_as_string"],
|
||||
"2019-01-01T00:00:00Z"
|
||||
);
|
||||
assert_eq!(
|
||||
res["date_ranges"]["buckets"][1]["to_as_string"],
|
||||
"2019-01-02T00:00:00Z"
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
res["date_ranges"]["buckets"][2]["from_as_string"],
|
||||
"2019-01-02T00:00:00Z"
|
||||
);
|
||||
assert_eq!(
|
||||
res["date_ranges"]["buckets"][2]["to_as_string"],
|
||||
Value::Null
|
||||
);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn range_custom_key_keyed_buckets_test() -> crate::Result<()> {
|
||||
let index = get_test_index_with_num_docs(false, 100)?;
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use std::fmt::Debug;
|
||||
|
||||
use fnv::FnvHashMap;
|
||||
use itertools::Itertools;
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::{CustomOrder, Order, OrderTarget};
|
||||
@@ -199,7 +199,7 @@ impl TermsAggregationInternal {
|
||||
#[derive(Clone, Debug, PartialEq)]
|
||||
/// Container to store term_ids and their buckets.
|
||||
struct TermBuckets {
|
||||
pub(crate) entries: FnvHashMap<u32, TermBucketEntry>,
|
||||
pub(crate) entries: FxHashMap<u32, TermBucketEntry>,
|
||||
blueprint: Option<SegmentAggregationResultsCollector>,
|
||||
}
|
||||
|
||||
@@ -397,7 +397,7 @@ impl SegmentTermCollector {
|
||||
.expect("internal error: inverted index not loaded for term aggregation");
|
||||
let term_dict = inverted_index.terms();
|
||||
|
||||
let mut dict: FnvHashMap<String, IntermediateTermBucketEntry> = Default::default();
|
||||
let mut dict: FxHashMap<String, IntermediateTermBucketEntry> = Default::default();
|
||||
let mut buffer = vec![];
|
||||
for (term_id, entry) in entries {
|
||||
term_dict
|
||||
@@ -1129,9 +1129,9 @@ mod tests {
|
||||
|
||||
assert_eq!(res["my_texts"]["buckets"][0]["key"], "terma");
|
||||
assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 4);
|
||||
assert_eq!(res["my_texts"]["buckets"][1]["key"], "termb");
|
||||
assert_eq!(res["my_texts"]["buckets"][1]["key"], "termc");
|
||||
assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 0);
|
||||
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termc");
|
||||
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termb");
|
||||
assert_eq!(res["my_texts"]["buckets"][2]["doc_count"], 0);
|
||||
assert_eq!(res["my_texts"]["sum_other_doc_count"], 0);
|
||||
assert_eq!(res["my_texts"]["doc_count_error_upper_bound"], 0);
|
||||
|
||||
@@ -7,6 +7,7 @@ use super::intermediate_agg_result::IntermediateAggregationResults;
|
||||
use super::segment_agg_result::SegmentAggregationResultsCollector;
|
||||
use crate::aggregation::agg_req_with_accessor::get_aggs_with_accessor_and_validate;
|
||||
use crate::collector::{Collector, SegmentCollector};
|
||||
use crate::schema::Schema;
|
||||
use crate::{SegmentReader, TantivyError};
|
||||
|
||||
/// The default max bucket count, before the aggregation fails.
|
||||
@@ -16,6 +17,7 @@ pub const MAX_BUCKET_COUNT: u32 = 65000;
|
||||
///
|
||||
/// The collector collects all aggregations by the underlying aggregation request.
|
||||
pub struct AggregationCollector {
|
||||
schema: Schema,
|
||||
agg: Aggregations,
|
||||
max_bucket_count: u32,
|
||||
}
|
||||
@@ -25,8 +27,9 @@ impl AggregationCollector {
|
||||
///
|
||||
/// Aggregation fails when the total bucket count is higher than max_bucket_count.
|
||||
/// max_bucket_count will default to `MAX_BUCKET_COUNT` (65000) when unset
|
||||
pub fn from_aggs(agg: Aggregations, max_bucket_count: Option<u32>) -> Self {
|
||||
pub fn from_aggs(agg: Aggregations, max_bucket_count: Option<u32>, schema: Schema) -> Self {
|
||||
Self {
|
||||
schema,
|
||||
agg,
|
||||
max_bucket_count: max_bucket_count.unwrap_or(MAX_BUCKET_COUNT),
|
||||
}
|
||||
@@ -113,7 +116,7 @@ impl Collector for AggregationCollector {
|
||||
segment_fruits: Vec<<Self::Child as SegmentCollector>::Fruit>,
|
||||
) -> crate::Result<Self::Fruit> {
|
||||
let res = merge_fruits(segment_fruits)?;
|
||||
res.into_final_bucket_result(self.agg.clone())
|
||||
res.into_final_bucket_result(self.agg.clone(), &self.schema)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
18
src/aggregation/date.rs
Normal file
18
src/aggregation/date.rs
Normal file
@@ -0,0 +1,18 @@
|
||||
use time::format_description::well_known::Rfc3339;
|
||||
use time::OffsetDateTime;
|
||||
|
||||
use crate::TantivyError;
|
||||
|
||||
pub(crate) fn format_date(val: i64) -> crate::Result<String> {
|
||||
let datetime =
|
||||
OffsetDateTime::from_unix_timestamp_nanos(1_000 * (val as i128)).map_err(|err| {
|
||||
TantivyError::InvalidArgument(format!(
|
||||
"Could not convert {:?} to OffsetDateTime, err {:?}",
|
||||
val, err
|
||||
))
|
||||
})?;
|
||||
let key_as_string = datetime
|
||||
.format(&Rfc3339)
|
||||
.map_err(|_err| TantivyError::InvalidArgument("Could not serialize date".to_string()))?;
|
||||
Ok(key_as_string)
|
||||
}
|
||||
@@ -3,15 +3,14 @@
|
||||
//! indices.
|
||||
|
||||
use std::cmp::Ordering;
|
||||
use std::collections::HashMap;
|
||||
|
||||
use fnv::FnvHashMap;
|
||||
use itertools::Itertools;
|
||||
use rustc_hash::FxHashMap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::agg_req::{
|
||||
Aggregations, AggregationsInternal, BucketAggregationInternal, BucketAggregationType,
|
||||
MetricAggregation,
|
||||
MetricAggregation, RangeAggregation,
|
||||
};
|
||||
use super::agg_result::{AggregationResult, BucketResult, RangeBucketEntry};
|
||||
use super::bucket::{
|
||||
@@ -20,9 +19,11 @@ use super::bucket::{
|
||||
};
|
||||
use super::metric::{IntermediateAverage, IntermediateStats};
|
||||
use super::segment_agg_result::SegmentMetricResultCollector;
|
||||
use super::{Key, SerializedKey, VecWithNames};
|
||||
use super::{format_date, Key, SerializedKey, VecWithNames};
|
||||
use crate::aggregation::agg_result::{AggregationResults, BucketEntries, BucketEntry};
|
||||
use crate::aggregation::bucket::TermsAggregationInternal;
|
||||
use crate::schema::Schema;
|
||||
use crate::TantivyError;
|
||||
|
||||
/// Contains the intermediate aggregation result, which is optimized to be merged with other
|
||||
/// intermediate results.
|
||||
@@ -36,8 +37,12 @@ pub struct IntermediateAggregationResults {
|
||||
|
||||
impl IntermediateAggregationResults {
|
||||
/// Convert intermediate result and its aggregation request to the final result.
|
||||
pub fn into_final_bucket_result(self, req: Aggregations) -> crate::Result<AggregationResults> {
|
||||
self.into_final_bucket_result_internal(&(req.into()))
|
||||
pub fn into_final_bucket_result(
|
||||
self,
|
||||
req: Aggregations,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<AggregationResults> {
|
||||
self.into_final_bucket_result_internal(&(req.into()), schema)
|
||||
}
|
||||
|
||||
/// Convert intermediate result and its aggregation request to the final result.
|
||||
@@ -47,18 +52,19 @@ impl IntermediateAggregationResults {
|
||||
pub(crate) fn into_final_bucket_result_internal(
|
||||
self,
|
||||
req: &AggregationsInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<AggregationResults> {
|
||||
// Important assumption:
|
||||
// When the tree contains buckets/metric, we expect it to have all buckets/metrics from the
|
||||
// request
|
||||
let mut results: HashMap<String, AggregationResult> = HashMap::new();
|
||||
let mut results: FxHashMap<String, AggregationResult> = FxHashMap::default();
|
||||
|
||||
if let Some(buckets) = self.buckets {
|
||||
convert_and_add_final_buckets_to_result(&mut results, buckets, &req.buckets)?
|
||||
convert_and_add_final_buckets_to_result(&mut results, buckets, &req.buckets, schema)?
|
||||
} else {
|
||||
// When there are no buckets, we create empty buckets, so that the serialized json
|
||||
// format is constant
|
||||
add_empty_final_buckets_to_result(&mut results, &req.buckets)?
|
||||
add_empty_final_buckets_to_result(&mut results, &req.buckets, schema)?
|
||||
};
|
||||
|
||||
if let Some(metrics) = self.metrics {
|
||||
@@ -132,7 +138,7 @@ impl IntermediateAggregationResults {
|
||||
}
|
||||
|
||||
fn convert_and_add_final_metrics_to_result(
|
||||
results: &mut HashMap<String, AggregationResult>,
|
||||
results: &mut FxHashMap<String, AggregationResult>,
|
||||
metrics: VecWithNames<IntermediateMetricResult>,
|
||||
) {
|
||||
results.extend(
|
||||
@@ -143,7 +149,7 @@ fn convert_and_add_final_metrics_to_result(
|
||||
}
|
||||
|
||||
fn add_empty_final_metrics_to_result(
|
||||
results: &mut HashMap<String, AggregationResult>,
|
||||
results: &mut FxHashMap<String, AggregationResult>,
|
||||
req_metrics: &VecWithNames<MetricAggregation>,
|
||||
) -> crate::Result<()> {
|
||||
results.extend(req_metrics.iter().map(|(key, req)| {
|
||||
@@ -157,27 +163,30 @@ fn add_empty_final_metrics_to_result(
|
||||
}
|
||||
|
||||
fn add_empty_final_buckets_to_result(
|
||||
results: &mut HashMap<String, AggregationResult>,
|
||||
results: &mut FxHashMap<String, AggregationResult>,
|
||||
req_buckets: &VecWithNames<BucketAggregationInternal>,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<()> {
|
||||
let requested_buckets = req_buckets.iter();
|
||||
for (key, req) in requested_buckets {
|
||||
let empty_bucket = AggregationResult::BucketResult(BucketResult::empty_from_req(req)?);
|
||||
let empty_bucket =
|
||||
AggregationResult::BucketResult(BucketResult::empty_from_req(req, schema)?);
|
||||
results.insert(key.to_string(), empty_bucket);
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn convert_and_add_final_buckets_to_result(
|
||||
results: &mut HashMap<String, AggregationResult>,
|
||||
results: &mut FxHashMap<String, AggregationResult>,
|
||||
buckets: VecWithNames<IntermediateBucketResult>,
|
||||
req_buckets: &VecWithNames<BucketAggregationInternal>,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<()> {
|
||||
assert_eq!(buckets.len(), req_buckets.len());
|
||||
|
||||
let buckets_with_request = buckets.into_iter().zip(req_buckets.values());
|
||||
for ((key, bucket), req) in buckets_with_request {
|
||||
let result = AggregationResult::BucketResult(bucket.into_final_bucket_result(req)?);
|
||||
let result = AggregationResult::BucketResult(bucket.into_final_bucket_result(req, schema)?);
|
||||
results.insert(key, result);
|
||||
}
|
||||
Ok(())
|
||||
@@ -267,13 +276,21 @@ impl IntermediateBucketResult {
|
||||
pub(crate) fn into_final_bucket_result(
|
||||
self,
|
||||
req: &BucketAggregationInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<BucketResult> {
|
||||
match self {
|
||||
IntermediateBucketResult::Range(range_res) => {
|
||||
let mut buckets: Vec<RangeBucketEntry> = range_res
|
||||
.buckets
|
||||
.into_iter()
|
||||
.map(|(_, bucket)| bucket.into_final_bucket_entry(&req.sub_aggregation))
|
||||
.map(|(_, bucket)| {
|
||||
bucket.into_final_bucket_entry(
|
||||
&req.sub_aggregation,
|
||||
schema,
|
||||
req.as_range()
|
||||
.expect("unexpected aggregation, expected histogram aggregation"),
|
||||
)
|
||||
})
|
||||
.collect::<crate::Result<Vec<_>>>()?;
|
||||
|
||||
buckets.sort_by(|left, right| {
|
||||
@@ -288,7 +305,7 @@ impl IntermediateBucketResult {
|
||||
.keyed;
|
||||
let buckets = if is_keyed {
|
||||
let mut bucket_map =
|
||||
FnvHashMap::with_capacity_and_hasher(buckets.len(), Default::default());
|
||||
FxHashMap::with_capacity_and_hasher(buckets.len(), Default::default());
|
||||
for bucket in buckets {
|
||||
bucket_map.insert(bucket.key.to_string(), bucket);
|
||||
}
|
||||
@@ -304,11 +321,12 @@ impl IntermediateBucketResult {
|
||||
req.as_histogram()
|
||||
.expect("unexpected aggregation, expected histogram aggregation"),
|
||||
&req.sub_aggregation,
|
||||
schema,
|
||||
)?;
|
||||
|
||||
let buckets = if req.as_histogram().unwrap().keyed {
|
||||
let mut bucket_map =
|
||||
FnvHashMap::with_capacity_and_hasher(buckets.len(), Default::default());
|
||||
FxHashMap::with_capacity_and_hasher(buckets.len(), Default::default());
|
||||
for bucket in buckets {
|
||||
bucket_map.insert(bucket.key.to_string(), bucket);
|
||||
}
|
||||
@@ -322,6 +340,7 @@ impl IntermediateBucketResult {
|
||||
req.as_term()
|
||||
.expect("unexpected aggregation, expected term aggregation"),
|
||||
&req.sub_aggregation,
|
||||
schema,
|
||||
),
|
||||
}
|
||||
}
|
||||
@@ -396,13 +415,13 @@ impl IntermediateBucketResult {
|
||||
#[derive(Default, Clone, Debug, PartialEq, Serialize, Deserialize)]
|
||||
/// Range aggregation including error counts
|
||||
pub struct IntermediateRangeBucketResult {
|
||||
pub(crate) buckets: FnvHashMap<SerializedKey, IntermediateRangeBucketEntry>,
|
||||
pub(crate) buckets: FxHashMap<SerializedKey, IntermediateRangeBucketEntry>,
|
||||
}
|
||||
|
||||
#[derive(Default, Clone, Debug, PartialEq, Serialize, Deserialize)]
|
||||
/// Term aggregation including error counts
|
||||
pub struct IntermediateTermBucketResult {
|
||||
pub(crate) entries: FnvHashMap<String, IntermediateTermBucketEntry>,
|
||||
pub(crate) entries: FxHashMap<String, IntermediateTermBucketEntry>,
|
||||
pub(crate) sum_other_doc_count: u64,
|
||||
pub(crate) doc_count_error_upper_bound: u64,
|
||||
}
|
||||
@@ -412,6 +431,7 @@ impl IntermediateTermBucketResult {
|
||||
self,
|
||||
req: &TermsAggregation,
|
||||
sub_aggregation_req: &AggregationsInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<BucketResult> {
|
||||
let req = TermsAggregationInternal::from_req(req);
|
||||
let mut buckets: Vec<BucketEntry> = self
|
||||
@@ -420,11 +440,12 @@ impl IntermediateTermBucketResult {
|
||||
.filter(|bucket| bucket.1.doc_count >= req.min_doc_count)
|
||||
.map(|(key, entry)| {
|
||||
Ok(BucketEntry {
|
||||
key_as_string: None,
|
||||
key: Key::Str(key),
|
||||
doc_count: entry.doc_count,
|
||||
sub_aggregation: entry
|
||||
.sub_aggregation
|
||||
.into_final_bucket_result_internal(sub_aggregation_req)?,
|
||||
.into_final_bucket_result_internal(sub_aggregation_req, schema)?,
|
||||
})
|
||||
})
|
||||
.collect::<crate::Result<_>>()?;
|
||||
@@ -499,8 +520,8 @@ trait MergeFruits {
|
||||
}
|
||||
|
||||
fn merge_maps<V: MergeFruits + Clone>(
|
||||
entries_left: &mut FnvHashMap<SerializedKey, V>,
|
||||
mut entries_right: FnvHashMap<SerializedKey, V>,
|
||||
entries_left: &mut FxHashMap<SerializedKey, V>,
|
||||
mut entries_right: FxHashMap<SerializedKey, V>,
|
||||
) {
|
||||
for (name, entry_left) in entries_left.iter_mut() {
|
||||
if let Some(entry_right) = entries_right.remove(name) {
|
||||
@@ -529,13 +550,15 @@ impl IntermediateHistogramBucketEntry {
|
||||
pub(crate) fn into_final_bucket_entry(
|
||||
self,
|
||||
req: &AggregationsInternal,
|
||||
schema: &Schema,
|
||||
) -> crate::Result<BucketEntry> {
|
||||
Ok(BucketEntry {
|
||||
key_as_string: None,
|
||||
key: Key::F64(self.key),
|
||||
doc_count: self.doc_count,
|
||||
sub_aggregation: self
|
||||
.sub_aggregation
|
||||
.into_final_bucket_result_internal(req)?,
|
||||
.into_final_bucket_result_internal(req, schema)?,
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -572,16 +595,38 @@ impl IntermediateRangeBucketEntry {
|
||||
pub(crate) fn into_final_bucket_entry(
|
||||
self,
|
||||
req: &AggregationsInternal,
|
||||
schema: &Schema,
|
||||
range_req: &RangeAggregation,
|
||||
) -> crate::Result<RangeBucketEntry> {
|
||||
Ok(RangeBucketEntry {
|
||||
let mut range_bucket_entry = RangeBucketEntry {
|
||||
key: self.key,
|
||||
doc_count: self.doc_count,
|
||||
sub_aggregation: self
|
||||
.sub_aggregation
|
||||
.into_final_bucket_result_internal(req)?,
|
||||
.into_final_bucket_result_internal(req, schema)?,
|
||||
to: self.to,
|
||||
from: self.from,
|
||||
})
|
||||
to_as_string: None,
|
||||
from_as_string: None,
|
||||
};
|
||||
|
||||
// If we have a date type on the histogram buckets, we add the `key_as_string` field as
|
||||
// rfc339
|
||||
let field = schema
|
||||
.get_field(&range_req.field)
|
||||
.ok_or_else(|| TantivyError::FieldNotFound(range_req.field.to_string()))?;
|
||||
if schema.get_field_entry(field).field_type().is_date() {
|
||||
if let Some(val) = range_bucket_entry.to {
|
||||
let key_as_string = format_date(val as i64)?;
|
||||
range_bucket_entry.to_as_string = Some(key_as_string);
|
||||
}
|
||||
if let Some(val) = range_bucket_entry.from {
|
||||
let key_as_string = format_date(val as i64)?;
|
||||
range_bucket_entry.from_as_string = Some(key_as_string);
|
||||
}
|
||||
}
|
||||
|
||||
Ok(range_bucket_entry)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -626,7 +671,7 @@ mod tests {
|
||||
|
||||
fn get_sub_test_tree(data: &[(String, u64)]) -> IntermediateAggregationResults {
|
||||
let mut map = HashMap::new();
|
||||
let mut buckets = FnvHashMap::default();
|
||||
let mut buckets = FxHashMap::default();
|
||||
for (key, doc_count) in data {
|
||||
buckets.insert(
|
||||
key.to_string(),
|
||||
@@ -653,7 +698,7 @@ mod tests {
|
||||
data: &[(String, u64, String, u64)],
|
||||
) -> IntermediateAggregationResults {
|
||||
let mut map = HashMap::new();
|
||||
let mut buckets: FnvHashMap<_, _> = Default::default();
|
||||
let mut buckets: FxHashMap<_, _> = Default::default();
|
||||
for (key, doc_count, sub_aggregation_key, sub_aggregation_count) in data {
|
||||
buckets.insert(
|
||||
key.to_string(),
|
||||
|
||||
@@ -60,10 +60,10 @@ impl SegmentAverageCollector {
|
||||
pub(crate) fn collect_block(&mut self, doc: &[DocId], field: &dyn Column<u64>) {
|
||||
let mut iter = doc.chunks_exact(4);
|
||||
for docs in iter.by_ref() {
|
||||
let val1 = field.get_val(docs[0] as u64);
|
||||
let val2 = field.get_val(docs[1] as u64);
|
||||
let val3 = field.get_val(docs[2] as u64);
|
||||
let val4 = field.get_val(docs[3] as u64);
|
||||
let val1 = field.get_val(docs[0]);
|
||||
let val2 = field.get_val(docs[1]);
|
||||
let val3 = field.get_val(docs[2]);
|
||||
let val4 = field.get_val(docs[3]);
|
||||
let val1 = f64_from_fastfield_u64(val1, &self.field_type);
|
||||
let val2 = f64_from_fastfield_u64(val2, &self.field_type);
|
||||
let val3 = f64_from_fastfield_u64(val3, &self.field_type);
|
||||
@@ -74,7 +74,7 @@ impl SegmentAverageCollector {
|
||||
self.data.collect(val4);
|
||||
}
|
||||
for &doc in iter.remainder() {
|
||||
let val = field.get_val(doc as u64);
|
||||
let val = field.get_val(doc);
|
||||
let val = f64_from_fastfield_u64(val, &self.field_type);
|
||||
self.data.collect(val);
|
||||
}
|
||||
|
||||
@@ -166,10 +166,10 @@ impl SegmentStatsCollector {
|
||||
pub(crate) fn collect_block(&mut self, doc: &[DocId], field: &dyn Column<u64>) {
|
||||
let mut iter = doc.chunks_exact(4);
|
||||
for docs in iter.by_ref() {
|
||||
let val1 = field.get_val(docs[0] as u64);
|
||||
let val2 = field.get_val(docs[1] as u64);
|
||||
let val3 = field.get_val(docs[2] as u64);
|
||||
let val4 = field.get_val(docs[3] as u64);
|
||||
let val1 = field.get_val(docs[0]);
|
||||
let val2 = field.get_val(docs[1]);
|
||||
let val3 = field.get_val(docs[2]);
|
||||
let val4 = field.get_val(docs[3]);
|
||||
let val1 = f64_from_fastfield_u64(val1, &self.field_type);
|
||||
let val2 = f64_from_fastfield_u64(val2, &self.field_type);
|
||||
let val3 = f64_from_fastfield_u64(val3, &self.field_type);
|
||||
@@ -180,7 +180,7 @@ impl SegmentStatsCollector {
|
||||
self.stats.collect(val4);
|
||||
}
|
||||
for &doc in iter.remainder() {
|
||||
let val = field.get_val(doc as u64);
|
||||
let val = field.get_val(doc);
|
||||
let val = f64_from_fastfield_u64(val, &self.field_type);
|
||||
self.stats.collect(val);
|
||||
}
|
||||
@@ -222,7 +222,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
@@ -300,7 +300,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults = searcher.search(&term_query, &collector).unwrap();
|
||||
|
||||
@@ -12,7 +12,7 @@
|
||||
//!
|
||||
//! ## Prerequisite
|
||||
//! Currently aggregations work only on [fast fields](`crate::fastfield`). Single value fast fields
|
||||
//! of type `u64`, `f64`, `i64` and fast fields on text fields.
|
||||
//! of type `u64`, `f64`, `i64`, `date` and fast fields on text fields.
|
||||
//!
|
||||
//! ## Usage
|
||||
//! To use aggregations, build an aggregation request by constructing
|
||||
@@ -53,9 +53,10 @@
|
||||
//! use tantivy::query::AllQuery;
|
||||
//! use tantivy::aggregation::agg_result::AggregationResults;
|
||||
//! use tantivy::IndexReader;
|
||||
//! use tantivy::schema::Schema;
|
||||
//!
|
||||
//! # #[allow(dead_code)]
|
||||
//! fn aggregate_on_index(reader: &IndexReader) {
|
||||
//! fn aggregate_on_index(reader: &IndexReader, schema: Schema) {
|
||||
//! let agg_req: Aggregations = vec![
|
||||
//! (
|
||||
//! "average".to_string(),
|
||||
@@ -67,7 +68,7 @@
|
||||
//! .into_iter()
|
||||
//! .collect();
|
||||
//!
|
||||
//! let collector = AggregationCollector::from_aggs(agg_req, None);
|
||||
//! let collector = AggregationCollector::from_aggs(agg_req, None, schema);
|
||||
//!
|
||||
//! let searcher = reader.searcher();
|
||||
//! let agg_res: AggregationResults = searcher.search(&AllQuery, &collector).unwrap();
|
||||
@@ -157,6 +158,7 @@ mod agg_req_with_accessor;
|
||||
pub mod agg_result;
|
||||
pub mod bucket;
|
||||
mod collector;
|
||||
mod date;
|
||||
pub mod intermediate_agg_result;
|
||||
pub mod metric;
|
||||
mod segment_agg_result;
|
||||
@@ -167,6 +169,7 @@ pub use collector::{
|
||||
AggregationCollector, AggregationSegmentCollector, DistributedAggregationCollector,
|
||||
MAX_BUCKET_COUNT,
|
||||
};
|
||||
pub(crate) use date::format_date;
|
||||
use fastfield_codecs::MonotonicallyMappableToU64;
|
||||
use itertools::Itertools;
|
||||
use serde::{Deserialize, Serialize};
|
||||
@@ -283,11 +286,11 @@ impl Display for Key {
|
||||
/// Inverse of `to_fastfield_u64`. Used to convert to `f64` for metrics.
|
||||
///
|
||||
/// # Panics
|
||||
/// Only `u64`, `f64`, and `i64` are supported.
|
||||
/// Only `u64`, `f64`, `date`, and `i64` are supported.
|
||||
pub(crate) fn f64_from_fastfield_u64(val: u64, field_type: &Type) -> f64 {
|
||||
match field_type {
|
||||
Type::U64 => val as f64,
|
||||
Type::I64 => i64::from_u64(val) as f64,
|
||||
Type::I64 | Type::Date => i64::from_u64(val) as f64,
|
||||
Type::F64 => f64::from_u64(val),
|
||||
_ => {
|
||||
panic!("unexpected type {:?}. This should not happen", field_type)
|
||||
@@ -295,10 +298,9 @@ pub(crate) fn f64_from_fastfield_u64(val: u64, field_type: &Type) -> f64 {
|
||||
}
|
||||
}
|
||||
|
||||
/// Converts the `f64` value to fast field value space.
|
||||
/// Converts the `f64` value to fast field value space, which is always u64.
|
||||
///
|
||||
/// If the fast field has `u64`, values are stored as `u64` in the fast field.
|
||||
/// A `f64` value of e.g. `2.0` therefore needs to be converted to `1u64`.
|
||||
/// If the fast field has `u64`, values are stored unchanged as `u64` in the fast field.
|
||||
///
|
||||
/// If the fast field has `f64` values are converted and stored to `u64` using a
|
||||
/// monotonic mapping.
|
||||
@@ -308,7 +310,7 @@ pub(crate) fn f64_from_fastfield_u64(val: u64, field_type: &Type) -> f64 {
|
||||
pub(crate) fn f64_to_fastfield_u64(val: f64, field_type: &Type) -> Option<u64> {
|
||||
match field_type {
|
||||
Type::U64 => Some(val as u64),
|
||||
Type::I64 => Some((val as i64).to_u64()),
|
||||
Type::I64 | Type::Date => Some((val as i64).to_u64()),
|
||||
Type::F64 => Some(val.to_u64()),
|
||||
_ => None,
|
||||
}
|
||||
@@ -317,6 +319,7 @@ pub(crate) fn f64_to_fastfield_u64(val: f64, field_type: &Type) -> Option<u64> {
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use serde_json::Value;
|
||||
use time::OffsetDateTime;
|
||||
|
||||
use super::agg_req::{Aggregation, Aggregations, BucketAggregation};
|
||||
use super::bucket::RangeAggregation;
|
||||
@@ -332,7 +335,7 @@ mod tests {
|
||||
use crate::aggregation::DistributedAggregationCollector;
|
||||
use crate::query::{AllQuery, TermQuery};
|
||||
use crate::schema::{Cardinality, IndexRecordOption, Schema, TextFieldIndexing, FAST, STRING};
|
||||
use crate::{Index, Term};
|
||||
use crate::{DateTime, Index, Term};
|
||||
|
||||
fn get_avg_req(field_name: &str) -> Aggregation {
|
||||
Aggregation::Metric(MetricAggregation::Average(
|
||||
@@ -358,7 +361,7 @@ mod tests {
|
||||
index: &Index,
|
||||
query: Option<(&str, &str)>,
|
||||
) -> crate::Result<Value> {
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None, index.schema());
|
||||
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
@@ -552,10 +555,10 @@ mod tests {
|
||||
let searcher = reader.searcher();
|
||||
let intermediate_agg_result = searcher.search(&AllQuery, &collector).unwrap();
|
||||
intermediate_agg_result
|
||||
.into_final_bucket_result(agg_req)
|
||||
.into_final_bucket_result(agg_req, &index.schema())
|
||||
.unwrap()
|
||||
} else {
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
searcher.search(&AllQuery, &collector).unwrap()
|
||||
@@ -648,6 +651,7 @@ mod tests {
|
||||
.set_fast()
|
||||
.set_stored();
|
||||
let text_field = schema_builder.add_text_field("text", text_fieldtype);
|
||||
let date_field = schema_builder.add_date_field("date", FAST);
|
||||
schema_builder.add_text_field("dummy_text", STRING);
|
||||
let score_fieldtype =
|
||||
crate::schema::NumericOptions::default().set_fast(Cardinality::SingleValue);
|
||||
@@ -665,6 +669,7 @@ mod tests {
|
||||
// writing the segment
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800).unwrap()),
|
||||
score_field => 1u64,
|
||||
score_field_f64 => 1f64,
|
||||
score_field_i64 => 1i64,
|
||||
@@ -673,6 +678,7 @@ mod tests {
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400).unwrap()),
|
||||
score_field => 3u64,
|
||||
score_field_f64 => 3f64,
|
||||
score_field_i64 => 3i64,
|
||||
@@ -681,18 +687,21 @@ mod tests {
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400).unwrap()),
|
||||
score_field => 5u64,
|
||||
score_field_f64 => 5f64,
|
||||
score_field_i64 => 5i64,
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "nohit",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400).unwrap()),
|
||||
score_field => 6u64,
|
||||
score_field_f64 => 6f64,
|
||||
score_field_i64 => 6i64,
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400).unwrap()),
|
||||
score_field => 7u64,
|
||||
score_field_f64 => 7f64,
|
||||
score_field_i64 => 7i64,
|
||||
@@ -700,12 +709,14 @@ mod tests {
|
||||
index_writer.commit()?;
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400).unwrap()),
|
||||
score_field => 11u64,
|
||||
score_field_f64 => 11f64,
|
||||
score_field_i64 => 11i64,
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400 + 86400).unwrap()),
|
||||
score_field => 14u64,
|
||||
score_field_f64 => 14f64,
|
||||
score_field_i64 => 14i64,
|
||||
@@ -713,6 +724,7 @@ mod tests {
|
||||
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "cool",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400 + 86400).unwrap()),
|
||||
score_field => 44u64,
|
||||
score_field_f64 => 44.5f64,
|
||||
score_field_i64 => 44i64,
|
||||
@@ -723,6 +735,7 @@ mod tests {
|
||||
// no hits segment
|
||||
index_writer.add_document(doc!(
|
||||
text_field => "nohit",
|
||||
date_field => DateTime::from_utc(OffsetDateTime::from_unix_timestamp(1_546_300_800 + 86400 + 86400).unwrap()),
|
||||
score_field => 44u64,
|
||||
score_field_f64 => 44.5f64,
|
||||
score_field_i64 => 44i64,
|
||||
@@ -795,7 +808,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults = searcher.search(&term_query, &collector).unwrap();
|
||||
@@ -995,9 +1008,10 @@ mod tests {
|
||||
// Test de/serialization roundtrip on intermediate_agg_result
|
||||
let res: IntermediateAggregationResults =
|
||||
serde_json::from_str(&serde_json::to_string(&res).unwrap()).unwrap();
|
||||
res.into_final_bucket_result(agg_req.clone()).unwrap()
|
||||
res.into_final_bucket_result(agg_req.clone(), &index.schema())
|
||||
.unwrap()
|
||||
} else {
|
||||
let collector = AggregationCollector::from_aggs(agg_req.clone(), None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req.clone(), None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
searcher.search(&term_query, &collector).unwrap()
|
||||
@@ -1055,7 +1069,7 @@ mod tests {
|
||||
);
|
||||
|
||||
// Test empty result set
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None, index.schema());
|
||||
let searcher = reader.searcher();
|
||||
searcher.search(&query_with_no_hits, &collector).unwrap();
|
||||
|
||||
@@ -1120,7 +1134,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
|
||||
@@ -1233,7 +1247,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1264,7 +1278,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1295,7 +1309,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1334,7 +1348,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1363,7 +1377,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1392,7 +1406,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1429,7 +1443,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1464,7 +1478,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1503,7 +1517,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1533,7 +1547,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
@@ -1590,7 +1604,7 @@ mod tests {
|
||||
.into_iter()
|
||||
.collect();
|
||||
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None);
|
||||
let collector = AggregationCollector::from_aggs(agg_req_1, None, index.schema());
|
||||
|
||||
let searcher = reader.searcher();
|
||||
let agg_res: AggregationResults =
|
||||
|
||||
@@ -616,7 +616,7 @@ mod tests {
|
||||
.map(|mut doc| {
|
||||
doc.add_facet(
|
||||
facet_field,
|
||||
&format!("/facet/{}", thread_rng().sample(&uniform)),
|
||||
&format!("/facet/{}", thread_rng().sample(uniform)),
|
||||
);
|
||||
doc
|
||||
})
|
||||
|
||||
@@ -177,7 +177,7 @@ where
|
||||
type Fruit = TSegmentCollector::Fruit;
|
||||
|
||||
fn collect(&mut self, doc: u32, score: Score) {
|
||||
let value = self.fast_field_reader.get_val(doc as u64);
|
||||
let value = self.fast_field_reader.get_val(doc);
|
||||
if (self.predicate)(value) {
|
||||
self.segment_collector.collect(doc, score)
|
||||
}
|
||||
|
||||
@@ -94,7 +94,7 @@ impl SegmentCollector for SegmentHistogramCollector {
|
||||
type Fruit = Vec<u64>;
|
||||
|
||||
fn collect(&mut self, doc: DocId, _score: Score) {
|
||||
let value = self.ff_reader.get_val(doc as u64);
|
||||
let value = self.ff_reader.get_val(doc);
|
||||
self.histogram_computer.add_value(value);
|
||||
}
|
||||
|
||||
|
||||
@@ -172,17 +172,33 @@ pub trait Collector: Sync + Send {
|
||||
) -> crate::Result<<Self::Child as SegmentCollector>::Fruit> {
|
||||
let mut segment_collector = self.for_segment(segment_ord as u32, reader)?;
|
||||
|
||||
if let Some(alive_bitset) = reader.alive_bitset() {
|
||||
weight.for_each(reader, &mut |doc, score| {
|
||||
if alive_bitset.is_alive(doc) {
|
||||
match (reader.alive_bitset(), self.requires_scoring()) {
|
||||
(Some(alive_bitset), true) => {
|
||||
weight.for_each(reader, &mut |doc, score| {
|
||||
if alive_bitset.is_alive(doc) {
|
||||
segment_collector.collect(doc, score);
|
||||
}
|
||||
})?;
|
||||
}
|
||||
(Some(alive_bitset), false) => {
|
||||
weight.for_each_no_score(reader, &mut |doc| {
|
||||
if alive_bitset.is_alive(doc) {
|
||||
segment_collector.collect(doc, 0.0);
|
||||
}
|
||||
})?;
|
||||
}
|
||||
(None, true) => {
|
||||
weight.for_each(reader, &mut |doc, score| {
|
||||
segment_collector.collect(doc, score);
|
||||
}
|
||||
})?;
|
||||
} else {
|
||||
weight.for_each(reader, &mut |doc, score| {
|
||||
segment_collector.collect(doc, score);
|
||||
})?;
|
||||
})?;
|
||||
}
|
||||
(None, false) => {
|
||||
weight.for_each_no_score(reader, &mut |doc| {
|
||||
segment_collector.collect(doc, 0.0);
|
||||
})?;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(segment_collector.harvest())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -201,7 +201,7 @@ impl SegmentCollector for FastFieldSegmentCollector {
|
||||
type Fruit = Vec<u64>;
|
||||
|
||||
fn collect(&mut self, doc: DocId, _score: Score) {
|
||||
let val = self.reader.get_val(doc as u64);
|
||||
let val = self.reader.get_val(doc);
|
||||
self.vals.push(val);
|
||||
}
|
||||
|
||||
|
||||
@@ -137,7 +137,7 @@ struct ScorerByFastFieldReader {
|
||||
|
||||
impl CustomSegmentScorer<u64> for ScorerByFastFieldReader {
|
||||
fn score(&mut self, doc: DocId) -> u64 {
|
||||
self.ff_reader.get_val(doc as u64)
|
||||
self.ff_reader.get_val(doc)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -458,7 +458,7 @@ impl TopDocs {
|
||||
///
|
||||
/// // We can now define our actual scoring function
|
||||
/// move |doc: DocId, original_score: Score| {
|
||||
/// let popularity: u64 = popularity_reader.get_val(doc as u64);
|
||||
/// let popularity: u64 = popularity_reader.get_val(doc);
|
||||
/// // Well.. For the sake of the example we use a simple logarithm
|
||||
/// // function.
|
||||
/// let popularity_boost_score = ((2u64 + popularity) as Score).log2();
|
||||
@@ -567,8 +567,8 @@ impl TopDocs {
|
||||
///
|
||||
/// // We can now define our actual scoring function
|
||||
/// move |doc: DocId| {
|
||||
/// let popularity: u64 = popularity_reader.get_val(doc as u64);
|
||||
/// let boosted: u64 = boosted_reader.get_val(doc as u64);
|
||||
/// let popularity: u64 = popularity_reader.get_val(doc);
|
||||
/// let boosted: u64 = boosted_reader.get_val(doc);
|
||||
/// // Score do not have to be `f64` in tantivy.
|
||||
/// // Here we return a couple to get lexicographical order
|
||||
/// // for free.
|
||||
|
||||
@@ -149,7 +149,8 @@ impl IndexBuilder {
|
||||
/// Creates a new index using the [`RamDirectory`].
|
||||
///
|
||||
/// The index will be allocated in anonymous memory.
|
||||
/// This should only be used for unit tests.
|
||||
/// This is useful for indexing small set of documents
|
||||
/// for instances like unit test or temporary in memory index.
|
||||
pub fn create_in_ram(self) -> Result<Index, TantivyError> {
|
||||
let ram_directory = RamDirectory::create();
|
||||
self.create(ram_directory)
|
||||
|
||||
@@ -133,7 +133,7 @@ impl SegmentMeta {
|
||||
/// 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 {
|
||||
path.push_str(&match component {
|
||||
SegmentComponent::Postings => ".idx".to_string(),
|
||||
SegmentComponent::Positions => ".pos".to_string(),
|
||||
SegmentComponent::Terms => ".term".to_string(),
|
||||
|
||||
@@ -230,6 +230,18 @@ impl InvertedIndexReader {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Read the block postings for all terms.
|
||||
/// This method is for an advanced usage only.
|
||||
///
|
||||
/// If you know which terms to pre-load, prefer using [`Self::warm_postings`] instead.
|
||||
pub async fn warm_postings_full(&self, with_positions: bool) -> crate::AsyncIoResult<()> {
|
||||
self.postings_file_slice.read_bytes_async().await?;
|
||||
if with_positions {
|
||||
self.positions_file_slice.read_bytes_async().await?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Returns the number of documents containing the term asynchronously.
|
||||
pub async fn doc_freq_async(&self, term: &Term) -> crate::AsyncIoResult<u32> {
|
||||
Ok(self
|
||||
|
||||
@@ -4,7 +4,7 @@ use std::{fmt, io};
|
||||
|
||||
use crate::collector::Collector;
|
||||
use crate::core::{Executor, SegmentReader};
|
||||
use crate::query::Query;
|
||||
use crate::query::{EnableScoring, Query};
|
||||
use crate::schema::{Document, Schema, Term};
|
||||
use crate::space_usage::SearcherSpaceUsage;
|
||||
use crate::store::{CacheStats, StoreReader};
|
||||
@@ -199,7 +199,12 @@ impl Searcher {
|
||||
executor: &Executor,
|
||||
) -> crate::Result<C::Fruit> {
|
||||
let scoring_enabled = collector.requires_scoring();
|
||||
let weight = query.weight(self, scoring_enabled)?;
|
||||
let enabled_scoring = if scoring_enabled {
|
||||
EnableScoring::Enabled(self)
|
||||
} else {
|
||||
EnableScoring::Disabled(self.schema())
|
||||
};
|
||||
let weight = query.weight(enabled_scoring)?;
|
||||
let segment_readers = self.segment_readers();
|
||||
let fruits = executor.map(
|
||||
|(segment_ord, segment_reader)| {
|
||||
|
||||
@@ -55,7 +55,7 @@ impl<T: Send + Sync + 'static> From<Box<T>> for DirectoryLock {
|
||||
|
||||
impl Drop for DirectoryLockGuard {
|
||||
fn drop(&mut self) {
|
||||
if let Err(e) = self.directory.delete(&*self.path) {
|
||||
if let Err(e) = self.directory.delete(&self.path) {
|
||||
error!("Failed to remove the lock file. {:?}", e);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -6,7 +6,7 @@ pub use self::writer::BytesFastFieldWriter;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate::query::TermQuery;
|
||||
use crate::query::{EnableScoring, TermQuery};
|
||||
use crate::schema::{BytesOptions, IndexRecordOption, Schema, Value, FAST, INDEXED, STORED};
|
||||
use crate::{DocAddress, DocSet, Index, Searcher, Term};
|
||||
|
||||
@@ -82,7 +82,7 @@ mod tests {
|
||||
let field = searcher.schema().get_field("string_bytes").unwrap();
|
||||
let term = Term::from_field_bytes(field, b"lucene".as_ref());
|
||||
let term_query = TermQuery::new(term, IndexRecordOption::Basic);
|
||||
let term_weight = term_query.specialized_weight(&searcher, true)?;
|
||||
let term_weight = term_query.specialized_weight(EnableScoring::Enabled(&searcher))?;
|
||||
let term_scorer = term_weight.specialized_scorer(searcher.segment_reader(0), 1.0)?;
|
||||
assert_eq!(term_scorer.doc(), 0u32);
|
||||
Ok(())
|
||||
@@ -95,7 +95,8 @@ mod tests {
|
||||
let field = searcher.schema().get_field("string_bytes").unwrap();
|
||||
let term = Term::from_field_bytes(field, b"lucene".as_ref());
|
||||
let term_query = TermQuery::new(term, IndexRecordOption::Basic);
|
||||
let term_weight_err = term_query.specialized_weight(&searcher, false);
|
||||
let term_weight_err =
|
||||
term_query.specialized_weight(EnableScoring::Disabled(searcher.schema()));
|
||||
assert!(matches!(
|
||||
term_weight_err,
|
||||
Err(crate::TantivyError::SchemaError(_))
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
use std::ops::Range;
|
||||
use std::sync::Arc;
|
||||
|
||||
use fastfield_codecs::Column;
|
||||
|
||||
use crate::directory::{FileSlice, OwnedBytes};
|
||||
use crate::fastfield::MultiValueLength;
|
||||
use crate::fastfield::MultiValueIndex;
|
||||
use crate::DocId;
|
||||
|
||||
/// Reader for byte array fast fields
|
||||
@@ -19,7 +18,7 @@ use crate::DocId;
|
||||
/// and the start index for the next document, and keeping the bytes in between.
|
||||
#[derive(Clone)]
|
||||
pub struct BytesFastFieldReader {
|
||||
idx_reader: Arc<dyn Column<u64>>,
|
||||
idx_reader: MultiValueIndex,
|
||||
values: OwnedBytes,
|
||||
}
|
||||
|
||||
@@ -29,42 +28,31 @@ impl BytesFastFieldReader {
|
||||
values_file: FileSlice,
|
||||
) -> crate::Result<BytesFastFieldReader> {
|
||||
let values = values_file.read_bytes()?;
|
||||
Ok(BytesFastFieldReader { idx_reader, values })
|
||||
Ok(BytesFastFieldReader {
|
||||
idx_reader: MultiValueIndex::new(idx_reader),
|
||||
values,
|
||||
})
|
||||
}
|
||||
|
||||
fn range(&self, doc: DocId) -> Range<u64> {
|
||||
let idx = doc as u64;
|
||||
let start = self.idx_reader.get_val(idx);
|
||||
let end = self.idx_reader.get_val(idx + 1);
|
||||
start..end
|
||||
/// returns the multivalue index
|
||||
pub fn get_index_reader(&self) -> &MultiValueIndex {
|
||||
&self.idx_reader
|
||||
}
|
||||
|
||||
/// Returns the bytes associated with the given `doc`
|
||||
pub fn get_bytes(&self, doc: DocId) -> &[u8] {
|
||||
let range = self.range(doc);
|
||||
let range = self.idx_reader.range(doc);
|
||||
&self.values.as_slice()[range.start as usize..range.end as usize]
|
||||
}
|
||||
|
||||
/// 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
|
||||
let range = self.idx_reader.range(doc);
|
||||
(range.end - range.start) as u64
|
||||
}
|
||||
|
||||
/// Returns the overall number of bytes in this bytes fast field.
|
||||
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)
|
||||
}
|
||||
fn get_total_len(&self) -> u64 {
|
||||
self.total_num_bytes()
|
||||
pub fn total_num_bytes(&self) -> u32 {
|
||||
self.values.len() as u32
|
||||
}
|
||||
}
|
||||
|
||||
@@ -27,16 +27,16 @@ pub use self::error::{FastFieldNotAvailableError, Result};
|
||||
pub use self::facet_reader::FacetReader;
|
||||
pub(crate) use self::multivalued::{get_fastfield_codecs_for_multivalue, MultivalueStartIndex};
|
||||
pub use self::multivalued::{
|
||||
MultiValueU128FastFieldWriter, MultiValuedFastFieldReader, MultiValuedFastFieldWriter,
|
||||
MultiValuedU128FastFieldReader,
|
||||
MultiValueIndex, MultiValueU128FastFieldWriter, MultiValuedFastFieldReader,
|
||||
MultiValuedFastFieldWriter, MultiValuedU128FastFieldReader,
|
||||
};
|
||||
pub(crate) use self::readers::type_and_cardinality;
|
||||
pub use self::readers::FastFieldReaders;
|
||||
pub(crate) use self::readers::{type_and_cardinality, FastType};
|
||||
pub use self::serializer::{Column, CompositeFastFieldSerializer};
|
||||
use self::writer::unexpected_value;
|
||||
pub use self::writer::{FastFieldsWriter, IntFastFieldWriter};
|
||||
use crate::schema::{Type, Value};
|
||||
use crate::{DateTime, DocId};
|
||||
use crate::DateTime;
|
||||
|
||||
mod alive_bitset;
|
||||
mod bytes;
|
||||
@@ -47,17 +47,6 @@ mod readers;
|
||||
mod serializer;
|
||||
mod writer;
|
||||
|
||||
/// Trait for `BytesFastFieldReader` and `MultiValuedFastFieldReader` to return the length of data
|
||||
/// for a doc_id
|
||||
pub trait MultiValueLength {
|
||||
/// 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;
|
||||
}
|
||||
|
||||
/// Trait for types that are allowed for fast fields:
|
||||
/// (u64, i64 and f64, bool, DateTime).
|
||||
pub trait FastValue:
|
||||
@@ -184,9 +173,9 @@ mod tests {
|
||||
#[test]
|
||||
pub fn test_fastfield() {
|
||||
let test_fastfield = fastfield_codecs::serialize_and_load(&[100u64, 200u64, 300u64][..]);
|
||||
assert_eq!(test_fastfield.get_val(0u64), 100);
|
||||
assert_eq!(test_fastfield.get_val(1u64), 200);
|
||||
assert_eq!(test_fastfield.get_val(2u64), 300);
|
||||
assert_eq!(test_fastfield.get_val(0), 100);
|
||||
assert_eq!(test_fastfield.get_val(1), 200);
|
||||
assert_eq!(test_fastfield.get_val(2), 300);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -218,7 +207,7 @@ mod tests {
|
||||
serializer.close().unwrap();
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
assert_eq!(file.len(), 25);
|
||||
assert_eq!(file.len(), 34);
|
||||
let composite_file = CompositeFile::open(&file)?;
|
||||
let fast_field_bytes = composite_file.open_read(*FIELD).unwrap().read_bytes()?;
|
||||
let fast_field_reader = open::<u64>(fast_field_bytes)?;
|
||||
@@ -267,7 +256,7 @@ mod tests {
|
||||
serializer.close()?;
|
||||
}
|
||||
let file = directory.open_read(path)?;
|
||||
assert_eq!(file.len(), 53);
|
||||
assert_eq!(file.len(), 62);
|
||||
{
|
||||
let fast_fields_composite = CompositeFile::open(&file)?;
|
||||
let data = fast_fields_composite
|
||||
@@ -308,7 +297,7 @@ mod tests {
|
||||
serializer.close().unwrap();
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
assert_eq!(file.len(), 26);
|
||||
assert_eq!(file.len(), 35);
|
||||
{
|
||||
let fast_fields_composite = CompositeFile::open(&file).unwrap();
|
||||
let data = fast_fields_composite
|
||||
@@ -347,7 +336,7 @@ mod tests {
|
||||
serializer.close().unwrap();
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
assert_eq!(file.len(), 80040);
|
||||
assert_eq!(file.len(), 80049);
|
||||
{
|
||||
let fast_fields_composite = CompositeFile::open(&file)?;
|
||||
let data = fast_fields_composite
|
||||
@@ -389,7 +378,7 @@ mod tests {
|
||||
serializer.close().unwrap();
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
assert_eq!(file.len(), 40_usize);
|
||||
assert_eq!(file.len(), 49_usize);
|
||||
|
||||
{
|
||||
let fast_fields_composite = CompositeFile::open(&file)?;
|
||||
@@ -402,7 +391,7 @@ mod tests {
|
||||
assert_eq!(fast_field_reader.min_value(), -100i64);
|
||||
assert_eq!(fast_field_reader.max_value(), 9_999i64);
|
||||
for (doc, i) in (-100i64..10_000i64).enumerate() {
|
||||
assert_eq!(fast_field_reader.get_val(doc as u64), i);
|
||||
assert_eq!(fast_field_reader.get_val(doc as u32), i);
|
||||
}
|
||||
let mut buffer = vec![0i64; 100];
|
||||
fast_field_reader.get_range(53, &mut buffer[..]);
|
||||
@@ -484,7 +473,7 @@ mod tests {
|
||||
let fast_field_reader = open::<u64>(data)?;
|
||||
|
||||
for a in 0..n {
|
||||
assert_eq!(fast_field_reader.get_val(a as u64), permutation[a as usize]);
|
||||
assert_eq!(fast_field_reader.get_val(a as u32), permutation[a as usize]);
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
@@ -833,7 +822,7 @@ mod tests {
|
||||
serializer.close().unwrap();
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
assert_eq!(file.len(), 24);
|
||||
assert_eq!(file.len(), 33);
|
||||
let composite_file = CompositeFile::open(&file)?;
|
||||
let data = composite_file.open_read(field).unwrap().read_bytes()?;
|
||||
let fast_field_reader = open::<bool>(data)?;
|
||||
@@ -871,7 +860,7 @@ mod tests {
|
||||
serializer.close().unwrap();
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
assert_eq!(file.len(), 36);
|
||||
assert_eq!(file.len(), 45);
|
||||
let composite_file = CompositeFile::open(&file)?;
|
||||
let data = composite_file.open_read(field).unwrap().read_bytes()?;
|
||||
let fast_field_reader = open::<bool>(data)?;
|
||||
@@ -903,7 +892,7 @@ mod tests {
|
||||
}
|
||||
let file = directory.open_read(path).unwrap();
|
||||
let composite_file = CompositeFile::open(&file)?;
|
||||
assert_eq!(file.len(), 23);
|
||||
assert_eq!(file.len(), 32);
|
||||
let data = composite_file.open_read(field).unwrap().read_bytes()?;
|
||||
let fast_field_reader = open::<bool>(data)?;
|
||||
assert_eq!(fast_field_reader.get_val(0), false);
|
||||
@@ -937,10 +926,10 @@ mod tests {
|
||||
pub fn test_gcd_date() -> crate::Result<()> {
|
||||
let size_prec_sec =
|
||||
test_gcd_date_with_codec(FastFieldCodecType::Bitpacked, DatePrecision::Seconds)?;
|
||||
assert_eq!(size_prec_sec, 28 + (1_000 * 13) / 8); // 13 bits per val = ceil(log_2(number of seconds in 2hours);
|
||||
assert_eq!(size_prec_sec, 5 + 4 + 28 + (1_000 * 13) / 8); // 13 bits per val = ceil(log_2(number of seconds in 2hours);
|
||||
let size_prec_micro =
|
||||
test_gcd_date_with_codec(FastFieldCodecType::Bitpacked, DatePrecision::Microseconds)?;
|
||||
assert_eq!(size_prec_micro, 26 + (1_000 * 33) / 8); // 33 bits per val = ceil(log_2(number of microsecsseconds in 2hours);
|
||||
assert_eq!(size_prec_micro, 5 + 4 + 26 + (1_000 * 33) / 8); // 33 bits per val = ceil(log_2(number of microsecsseconds in 2hours);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -976,7 +965,7 @@ mod tests {
|
||||
let test_fastfield = open::<DateTime>(file.read_bytes()?)?;
|
||||
|
||||
for (i, time) in times.iter().enumerate() {
|
||||
assert_eq!(test_fastfield.get_val(i as u64), time.truncate(precision));
|
||||
assert_eq!(test_fastfield.get_val(i as u32), time.truncate(precision));
|
||||
}
|
||||
Ok(len)
|
||||
}
|
||||
|
||||
148
src/fastfield/multivalued/index.rs
Normal file
148
src/fastfield/multivalued/index.rs
Normal file
@@ -0,0 +1,148 @@
|
||||
use std::ops::Range;
|
||||
use std::sync::Arc;
|
||||
|
||||
use fastfield_codecs::Column;
|
||||
|
||||
use crate::DocId;
|
||||
|
||||
#[derive(Clone)]
|
||||
/// Index to resolve value range for given doc_id.
|
||||
/// Starts at 0.
|
||||
pub struct MultiValueIndex {
|
||||
idx: Arc<dyn Column<u64>>,
|
||||
}
|
||||
|
||||
impl MultiValueIndex {
|
||||
pub(crate) fn new(idx: Arc<dyn Column<u64>>) -> Self {
|
||||
Self { idx }
|
||||
}
|
||||
|
||||
/// Returns `[start, end)`, such that the values associated with
|
||||
/// the given document are `start..end`.
|
||||
#[inline]
|
||||
pub(crate) fn range(&self, doc: DocId) -> Range<u32> {
|
||||
let start = self.idx.get_val(doc) as u32;
|
||||
let end = self.idx.get_val(doc + 1) as u32;
|
||||
start..end
|
||||
}
|
||||
|
||||
/// Given a range of documents, returns the Range of value offsets fo
|
||||
/// these documents.
|
||||
///
|
||||
/// For instance, `given start_doc..end_doc`,
|
||||
/// if we assume Document #start_doc end #end_doc both
|
||||
/// have values, this function returns `start..end`
|
||||
/// such that `value_column.get(start_doc)` is the first value of
|
||||
/// `start_doc` (well, if there is one), and `value_column.get(end_doc - 1)`
|
||||
/// is the last value of `end_doc`.
|
||||
///
|
||||
/// The passed end range is allowed to be out of bounds, in which case
|
||||
/// it will be clipped to make it valid.
|
||||
#[inline]
|
||||
pub(crate) fn docid_range_to_position_range(&self, range: Range<DocId>) -> Range<u32> {
|
||||
let end_docid = range.end.min(self.num_docs() - 1) + 1;
|
||||
let start_docid = range.start.min(end_docid);
|
||||
|
||||
let start = self.idx.get_val(start_docid) as u32;
|
||||
let end = self.idx.get_val(end_docid) as u32;
|
||||
assert!(start <= end);
|
||||
|
||||
start..end
|
||||
}
|
||||
|
||||
/// returns the num of values associated with a doc_id
|
||||
pub(crate) fn num_vals_for_doc(&self, doc: DocId) -> u32 {
|
||||
let range = self.range(doc);
|
||||
range.end - range.start
|
||||
}
|
||||
|
||||
/// Returns the overall number of values in this field.
|
||||
#[inline]
|
||||
pub fn total_num_vals(&self) -> u32 {
|
||||
self.idx.max_value() as u32
|
||||
}
|
||||
|
||||
/// Returns the number of documents in the index.
|
||||
#[inline]
|
||||
pub fn num_docs(&self) -> u32 {
|
||||
self.idx.num_vals() - 1
|
||||
}
|
||||
|
||||
/// Converts a list of positions of values in a 1:n index to the corresponding list of DocIds.
|
||||
/// Positions are converted inplace to docids.
|
||||
///
|
||||
/// Since there is no index for value pos -> docid, but docid -> value pos range, we scan the
|
||||
/// index.
|
||||
///
|
||||
/// Correctness: positions needs to be sorted. idx_reader needs to contain monotonically
|
||||
/// increasing positions.
|
||||
///
|
||||
///
|
||||
/// TODO: Instead of a linear scan we can employ a exponential search into binary search to
|
||||
/// match a docid to its value position.
|
||||
pub(crate) fn positions_to_docids(&self, doc_id_range: Range<u32>, positions: &mut Vec<u32>) {
|
||||
if positions.is_empty() {
|
||||
return;
|
||||
}
|
||||
let mut cur_doc = doc_id_range.start;
|
||||
let mut last_doc = None;
|
||||
|
||||
assert!(self.idx.get_val(doc_id_range.start) as u32 <= positions[0]);
|
||||
|
||||
let mut write_doc_pos = 0;
|
||||
for i in 0..positions.len() {
|
||||
let pos = positions[i];
|
||||
loop {
|
||||
let end = self.idx.get_val(cur_doc + 1) as u32;
|
||||
if end > pos {
|
||||
positions[write_doc_pos] = cur_doc;
|
||||
write_doc_pos += if last_doc == Some(cur_doc) { 0 } else { 1 };
|
||||
last_doc = Some(cur_doc);
|
||||
break;
|
||||
}
|
||||
cur_doc += 1;
|
||||
}
|
||||
}
|
||||
positions.truncate(write_doc_pos);
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::ops::Range;
|
||||
use std::sync::Arc;
|
||||
|
||||
use fastfield_codecs::IterColumn;
|
||||
|
||||
use crate::fastfield::MultiValueIndex;
|
||||
|
||||
fn index_to_pos_helper(
|
||||
index: &MultiValueIndex,
|
||||
doc_id_range: Range<u32>,
|
||||
positions: &[u32],
|
||||
) -> Vec<u32> {
|
||||
let mut positions = positions.to_vec();
|
||||
index.positions_to_docids(doc_id_range, &mut positions);
|
||||
positions
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_positions_to_docid() {
|
||||
let offsets = vec![0, 10, 12, 15, 22, 23]; // docid values are [0..10, 10..12, 12..15, etc.]
|
||||
let column = IterColumn::from(offsets.into_iter());
|
||||
let index = MultiValueIndex::new(Arc::new(column));
|
||||
assert_eq!(index.num_docs(), 5);
|
||||
{
|
||||
let positions = vec![10u32, 11, 15, 20, 21, 22];
|
||||
|
||||
assert_eq!(index_to_pos_helper(&index, 0..5, &positions), vec![1, 3, 4]);
|
||||
assert_eq!(index_to_pos_helper(&index, 1..5, &positions), vec![1, 3, 4]);
|
||||
assert_eq!(index_to_pos_helper(&index, 0..5, &[9]), vec![0]);
|
||||
assert_eq!(index_to_pos_helper(&index, 1..5, &[10]), vec![1]);
|
||||
assert_eq!(index_to_pos_helper(&index, 1..5, &[11]), vec![1]);
|
||||
assert_eq!(index_to_pos_helper(&index, 2..5, &[12]), vec![2]);
|
||||
assert_eq!(index_to_pos_helper(&index, 2..5, &[12, 14]), vec![2]);
|
||||
assert_eq!(index_to_pos_helper(&index, 2..5, &[12, 14, 15]), vec![2, 3]);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,7 +1,9 @@
|
||||
mod index;
|
||||
mod reader;
|
||||
mod writer;
|
||||
|
||||
use fastfield_codecs::FastFieldCodecType;
|
||||
pub use index::MultiValueIndex;
|
||||
|
||||
pub use self::reader::{MultiValuedFastFieldReader, MultiValuedU128FastFieldReader};
|
||||
pub(crate) use self::writer::MultivalueStartIndex;
|
||||
@@ -515,7 +517,7 @@ mod bench {
|
||||
for val in block {
|
||||
doc.add_u64(field, *val);
|
||||
}
|
||||
fast_field_writers.add_document(&doc);
|
||||
fast_field_writers.add_document(&doc).unwrap();
|
||||
}
|
||||
fast_field_writers
|
||||
.serialize(&mut serializer, &HashMap::new(), None)
|
||||
@@ -573,7 +575,7 @@ mod bench {
|
||||
for val in block {
|
||||
doc.add_u64(field, *val);
|
||||
}
|
||||
fast_field_writers.add_document(&doc);
|
||||
fast_field_writers.add_document(&doc).unwrap();
|
||||
}
|
||||
fast_field_writers
|
||||
.serialize(&mut serializer, &HashMap::new(), None)
|
||||
@@ -606,7 +608,7 @@ mod bench {
|
||||
for val in block {
|
||||
doc.add_u64(field, *val);
|
||||
}
|
||||
fast_field_writers.add_document(&doc);
|
||||
fast_field_writers.add_document(&doc).unwrap();
|
||||
}
|
||||
fast_field_writers
|
||||
.serialize(&mut serializer, &HashMap::new(), Some(&doc_id_mapping))
|
||||
|
||||
@@ -3,7 +3,8 @@ use std::sync::Arc;
|
||||
|
||||
use fastfield_codecs::{Column, MonotonicallyMappableToU128};
|
||||
|
||||
use crate::fastfield::{FastValue, MultiValueLength};
|
||||
use super::MultiValueIndex;
|
||||
use crate::fastfield::FastValue;
|
||||
use crate::DocId;
|
||||
|
||||
/// Reader for a multivalued `u64` fast field.
|
||||
@@ -13,9 +14,10 @@ use crate::DocId;
|
||||
/// The `vals_reader` will access the concatenated list of all
|
||||
/// values for all reader.
|
||||
/// The `idx_reader` associated, for each document, the index of its first value.
|
||||
/// Stores the start position for each document.
|
||||
#[derive(Clone)]
|
||||
pub struct MultiValuedFastFieldReader<Item: FastValue> {
|
||||
idx_reader: Arc<dyn Column<u64>>,
|
||||
idx_reader: MultiValueIndex,
|
||||
vals_reader: Arc<dyn Column<Item>>,
|
||||
}
|
||||
|
||||
@@ -25,36 +27,32 @@ impl<Item: FastValue> MultiValuedFastFieldReader<Item> {
|
||||
vals_reader: Arc<dyn Column<Item>>,
|
||||
) -> MultiValuedFastFieldReader<Item> {
|
||||
MultiValuedFastFieldReader {
|
||||
idx_reader,
|
||||
idx_reader: MultiValueIndex::new(idx_reader),
|
||||
vals_reader,
|
||||
}
|
||||
}
|
||||
|
||||
/// 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;
|
||||
let start = self.idx_reader.get_val(idx);
|
||||
let end = self.idx_reader.get_val(idx + 1);
|
||||
start..end
|
||||
}
|
||||
|
||||
/// Returns the array of values associated with the given `doc`.
|
||||
#[inline]
|
||||
fn get_vals_for_range(&self, range: Range<u64>, vals: &mut Vec<Item>) {
|
||||
fn get_vals_for_range(&self, range: Range<u32>, vals: &mut Vec<Item>) {
|
||||
let len = (range.end - range.start) as usize;
|
||||
vals.resize(len, Item::make_zero());
|
||||
self.vals_reader.get_range(range.start, &mut vals[..]);
|
||||
self.vals_reader
|
||||
.get_range(range.start as u64, &mut vals[..]);
|
||||
}
|
||||
|
||||
/// 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);
|
||||
let range = self.idx_reader.range(doc);
|
||||
self.get_vals_for_range(range, vals);
|
||||
}
|
||||
|
||||
/// returns the multivalue index
|
||||
pub fn get_index_reader(&self) -> &MultiValueIndex {
|
||||
&self.idx_reader
|
||||
}
|
||||
|
||||
/// Returns the minimum value for this fast field.
|
||||
///
|
||||
/// The min value does not take in account of possible
|
||||
@@ -75,28 +73,14 @@ impl<Item: FastValue> MultiValuedFastFieldReader<Item> {
|
||||
|
||||
/// Returns the number of values associated with the document `DocId`.
|
||||
#[inline]
|
||||
pub fn num_vals(&self, doc: DocId) -> usize {
|
||||
let range = self.range(doc);
|
||||
(range.end - range.start) as usize
|
||||
pub fn num_vals(&self, doc: DocId) -> u32 {
|
||||
self.idx_reader.num_vals_for_doc(doc)
|
||||
}
|
||||
|
||||
/// Returns the overall number of values in this field .
|
||||
/// Returns the overall number of values in this field.
|
||||
#[inline]
|
||||
pub fn total_num_vals(&self) -> u64 {
|
||||
self.idx_reader.max_value()
|
||||
}
|
||||
}
|
||||
|
||||
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
|
||||
}
|
||||
|
||||
fn get_total_len(&self) -> u64 {
|
||||
self.total_num_vals() as u64
|
||||
pub fn total_num_vals(&self) -> u32 {
|
||||
self.idx_reader.total_num_vals()
|
||||
}
|
||||
}
|
||||
|
||||
@@ -109,7 +93,7 @@ impl<Item: FastValue> MultiValueLength for MultiValuedFastFieldReader<Item> {
|
||||
/// The `idx_reader` associated, for each document, the index of its first value.
|
||||
#[derive(Clone)]
|
||||
pub struct MultiValuedU128FastFieldReader<T: MonotonicallyMappableToU128> {
|
||||
idx_reader: Arc<dyn Column<u64>>,
|
||||
idx_reader: MultiValueIndex,
|
||||
vals_reader: Arc<dyn Column<T>>,
|
||||
}
|
||||
|
||||
@@ -119,24 +103,15 @@ impl<T: MonotonicallyMappableToU128> MultiValuedU128FastFieldReader<T> {
|
||||
vals_reader: Arc<dyn Column<T>>,
|
||||
) -> MultiValuedU128FastFieldReader<T> {
|
||||
Self {
|
||||
idx_reader,
|
||||
idx_reader: MultiValueIndex::new(idx_reader),
|
||||
vals_reader,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns `[start, end)`, such that the values associated
|
||||
/// to the given document are `start..end`.
|
||||
#[inline]
|
||||
fn range(&self, doc: DocId) -> Range<u64> {
|
||||
let start = self.idx_reader.get_val(doc as u64);
|
||||
let end = self.idx_reader.get_val(doc as u64 + 1);
|
||||
start..end
|
||||
}
|
||||
|
||||
/// Returns the array of values associated to the given `doc`.
|
||||
#[inline]
|
||||
pub fn get_first_val(&self, doc: DocId) -> Option<T> {
|
||||
let range = self.range(doc);
|
||||
let range = self.idx_reader.range(doc);
|
||||
if range.is_empty() {
|
||||
return None;
|
||||
}
|
||||
@@ -145,26 +120,25 @@ impl<T: MonotonicallyMappableToU128> MultiValuedU128FastFieldReader<T> {
|
||||
|
||||
/// Returns the array of values associated to the given `doc`.
|
||||
#[inline]
|
||||
fn get_vals_for_range(&self, range: Range<u64>, vals: &mut Vec<T>) {
|
||||
fn get_vals_for_range(&self, range: Range<u32>, vals: &mut Vec<T>) {
|
||||
let len = (range.end - range.start) as usize;
|
||||
vals.resize(len, T::from_u128(0));
|
||||
self.vals_reader.get_range(range.start, &mut vals[..]);
|
||||
self.vals_reader
|
||||
.get_range(range.start as u64, &mut vals[..]);
|
||||
}
|
||||
|
||||
/// Returns the index reader
|
||||
pub fn get_index_reader(&self) -> &MultiValueIndex {
|
||||
&self.idx_reader
|
||||
}
|
||||
|
||||
/// Returns the array of values associated to the given `doc`.
|
||||
#[inline]
|
||||
pub fn get_vals(&self, doc: DocId, vals: &mut Vec<T>) {
|
||||
let range = self.range(doc);
|
||||
let range = self.idx_reader.range(doc);
|
||||
self.get_vals_for_range(range, vals);
|
||||
}
|
||||
|
||||
/// Returns all docids which are in the provided value range
|
||||
pub fn get_between_vals(&self, range: RangeInclusive<T>) -> Vec<DocId> {
|
||||
let positions = self.vals_reader.get_between_vals(range);
|
||||
|
||||
positions_to_docids(&positions, self.idx_reader.as_ref())
|
||||
}
|
||||
|
||||
/// Iterates over all elements in the fast field
|
||||
pub fn iter(&self) -> impl Iterator<Item = T> + '_ {
|
||||
self.vals_reader.iter()
|
||||
@@ -190,85 +164,44 @@ impl<T: MonotonicallyMappableToU128> MultiValuedU128FastFieldReader<T> {
|
||||
|
||||
/// Returns the number of values associated with the document `DocId`.
|
||||
#[inline]
|
||||
pub fn num_vals(&self, doc: DocId) -> usize {
|
||||
let range = self.range(doc);
|
||||
(range.end - range.start) as usize
|
||||
pub fn num_vals(&self, doc: DocId) -> u32 {
|
||||
self.idx_reader.num_vals_for_doc(doc)
|
||||
}
|
||||
|
||||
/// Returns the overall number of values in this field.
|
||||
/// Returns the overall number of values in this field. It does not include deletes.
|
||||
#[inline]
|
||||
pub fn total_num_vals(&self) -> u64 {
|
||||
self.idx_reader.max_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<T: MonotonicallyMappableToU128> MultiValueLength for MultiValuedU128FastFieldReader<T> {
|
||||
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_vals(doc_id) as u64
|
||||
}
|
||||
fn get_total_len(&self) -> u64 {
|
||||
self.total_num_vals() as u64
|
||||
}
|
||||
}
|
||||
|
||||
/// Converts a list of positions of values in a 1:n index to the corresponding list of DocIds.
|
||||
///
|
||||
/// Since there is no index for value pos -> docid, but docid -> value pos range, we scan the index.
|
||||
///
|
||||
/// Correctness: positions needs to be sorted. idx_reader needs to contain monotonically increasing
|
||||
/// positions.
|
||||
///
|
||||
/// TODO: Instead of a linear scan we can employ a expotential search into binary search to match a
|
||||
/// docid to its value position.
|
||||
fn positions_to_docids<C: Column + ?Sized>(positions: &[u64], idx_reader: &C) -> Vec<DocId> {
|
||||
let mut docs = vec![];
|
||||
let mut cur_doc = 0u32;
|
||||
let mut last_doc = None;
|
||||
|
||||
for pos in positions {
|
||||
loop {
|
||||
let end = idx_reader.get_val(cur_doc as u64 + 1);
|
||||
if end > *pos {
|
||||
// avoid duplicates
|
||||
if Some(cur_doc) == last_doc {
|
||||
break;
|
||||
}
|
||||
docs.push(cur_doc);
|
||||
last_doc = Some(cur_doc);
|
||||
break;
|
||||
}
|
||||
cur_doc += 1;
|
||||
}
|
||||
pub fn total_num_vals(&self) -> u32 {
|
||||
assert_eq!(
|
||||
self.vals_reader.num_vals(),
|
||||
self.get_index_reader().total_num_vals()
|
||||
);
|
||||
self.idx_reader.total_num_vals()
|
||||
}
|
||||
|
||||
docs
|
||||
/// Returns the docids matching given doc_id_range and value_range.
|
||||
#[inline]
|
||||
pub fn get_docids_for_value_range(
|
||||
&self,
|
||||
value_range: RangeInclusive<T>,
|
||||
doc_id_range: Range<u32>,
|
||||
positions: &mut Vec<u32>,
|
||||
) {
|
||||
let position_range = self
|
||||
.get_index_reader()
|
||||
.docid_range_to_position_range(doc_id_range.clone());
|
||||
self.vals_reader
|
||||
.get_docids_for_value_range(value_range, position_range, positions);
|
||||
|
||||
self.idx_reader.positions_to_docids(doc_id_range, positions);
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use fastfield_codecs::VecColumn;
|
||||
|
||||
use crate::core::Index;
|
||||
use crate::fastfield::multivalued::reader::positions_to_docids;
|
||||
use crate::schema::{Cardinality, Facet, FacetOptions, NumericOptions, Schema};
|
||||
|
||||
#[test]
|
||||
fn test_positions_to_docid() {
|
||||
let positions = vec![10u64, 11, 15, 20, 21, 22];
|
||||
|
||||
let offsets = vec![0, 10, 12, 15, 22, 23];
|
||||
{
|
||||
let column = VecColumn::from(&offsets);
|
||||
|
||||
let docids = positions_to_docids(&positions, &column);
|
||||
assert_eq!(docids, vec![1, 3, 4]);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_multifastfield_reader() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
|
||||
@@ -3,7 +3,7 @@ use std::io;
|
||||
use fastfield_codecs::{
|
||||
Column, MonotonicallyMappableToU128, MonotonicallyMappableToU64, VecColumn,
|
||||
};
|
||||
use fnv::FnvHashMap;
|
||||
use rustc_hash::FxHashMap;
|
||||
|
||||
use super::get_fastfield_codecs_for_multivalue;
|
||||
use crate::fastfield::writer::unexpected_value;
|
||||
@@ -144,7 +144,7 @@ impl MultiValuedFastFieldWriter {
|
||||
pub fn serialize(
|
||||
mut self,
|
||||
serializer: &mut CompositeFastFieldSerializer,
|
||||
term_mapping_opt: Option<&FnvHashMap<UnorderedTermId, TermOrdinal>>,
|
||||
term_mapping_opt: Option<&FxHashMap<UnorderedTermId, TermOrdinal>>,
|
||||
doc_id_map: Option<&DocIdMapping>,
|
||||
) -> io::Result<()> {
|
||||
{
|
||||
@@ -219,7 +219,7 @@ pub(crate) struct MultivalueStartIndex<'a, C: Column> {
|
||||
|
||||
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);
|
||||
assert_eq!(column.num_vals(), doc_id_map.num_old_doc_ids() as u32 + 1);
|
||||
let (min, max) =
|
||||
tantivy_bitpacker::minmax(iter_remapped_multivalue_index(doc_id_map, column))
|
||||
.unwrap_or((0u64, 0u64));
|
||||
@@ -232,7 +232,7 @@ impl<'a, C: Column> MultivalueStartIndex<'a, C> {
|
||||
}
|
||||
}
|
||||
impl<'a, C: Column> Column for MultivalueStartIndex<'a, C> {
|
||||
fn get_val(&self, _idx: u64) -> u64 {
|
||||
fn get_val(&self, _idx: u32) -> u64 {
|
||||
unimplemented!()
|
||||
}
|
||||
|
||||
@@ -244,8 +244,8 @@ impl<'a, C: Column> Column for MultivalueStartIndex<'a, C> {
|
||||
self.max
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
(self.doc_id_map.num_new_doc_ids() + 1) as u64
|
||||
fn num_vals(&self) -> u32 {
|
||||
(self.doc_id_map.num_new_doc_ids() + 1) as u32
|
||||
}
|
||||
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
|
||||
@@ -262,7 +262,7 @@ fn iter_remapped_multivalue_index<'a, C: Column>(
|
||||
) -> 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);
|
||||
let num_vals_for_doc = column.get_val(old_doc + 1) - column.get_val(old_doc);
|
||||
offset += num_vals_for_doc;
|
||||
offset as u64
|
||||
}))
|
||||
@@ -369,7 +369,7 @@ impl MultiValueU128FastFieldWriter {
|
||||
serializer.create_u128_fast_field_with_idx(
|
||||
self.field,
|
||||
iter_gen,
|
||||
self.vals.len() as u64,
|
||||
self.vals.len() as u32,
|
||||
1,
|
||||
)?;
|
||||
}
|
||||
|
||||
@@ -90,7 +90,7 @@ impl CompositeFastFieldSerializer {
|
||||
&mut self,
|
||||
field: Field,
|
||||
iter_gen: F,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
idx: usize,
|
||||
) -> io::Result<()> {
|
||||
let field_write = self.composite_write.for_field_with_idx(field, idx);
|
||||
|
||||
@@ -3,7 +3,7 @@ use std::io;
|
||||
|
||||
use common;
|
||||
use fastfield_codecs::{Column, MonotonicallyMappableToU128, MonotonicallyMappableToU64};
|
||||
use fnv::FnvHashMap;
|
||||
use rustc_hash::FxHashMap;
|
||||
use tantivy_bitpacker::BlockedBitpacker;
|
||||
|
||||
use super::multivalued::{MultiValueU128FastFieldWriter, MultiValuedFastFieldWriter};
|
||||
@@ -256,7 +256,7 @@ impl FastFieldsWriter {
|
||||
pub fn serialize(
|
||||
self,
|
||||
serializer: &mut CompositeFastFieldSerializer,
|
||||
mapping: &HashMap<Field, FnvHashMap<UnorderedTermId, TermOrdinal>>,
|
||||
mapping: &HashMap<Field, FxHashMap<UnorderedTermId, TermOrdinal>>,
|
||||
doc_id_map: Option<&DocIdMapping>,
|
||||
) -> io::Result<()> {
|
||||
for field_writer in self.term_id_writers {
|
||||
@@ -363,7 +363,7 @@ impl U128FastFieldWriter {
|
||||
serializer.create_u128_fast_field_with_idx(
|
||||
self.field,
|
||||
iter_gen,
|
||||
self.val_count as u64,
|
||||
self.val_count as u32,
|
||||
0,
|
||||
)?;
|
||||
} else {
|
||||
@@ -371,7 +371,7 @@ impl U128FastFieldWriter {
|
||||
serializer.create_u128_fast_field_with_idx(
|
||||
self.field,
|
||||
iter_gen,
|
||||
self.val_count as u64,
|
||||
self.val_count as u32,
|
||||
0,
|
||||
)?;
|
||||
}
|
||||
@@ -511,7 +511,7 @@ impl IntFastFieldWriter {
|
||||
vals: &self.vals,
|
||||
min_value: min,
|
||||
max_value: max,
|
||||
num_vals: self.val_count as u64,
|
||||
num_vals: self.val_count as u32,
|
||||
};
|
||||
|
||||
serializer.create_auto_detect_u64_fast_field(self.field, fastfield_accessor)?;
|
||||
@@ -526,7 +526,7 @@ struct WriterFastFieldAccessProvider<'map, 'bitp> {
|
||||
vals: &'bitp BlockedBitpacker,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
}
|
||||
|
||||
impl<'map, 'bitp> Column for WriterFastFieldAccessProvider<'map, 'bitp> {
|
||||
@@ -538,7 +538,7 @@ 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 {
|
||||
fn get_val(&self, _doc: u32) -> u64 {
|
||||
unimplemented!()
|
||||
}
|
||||
|
||||
@@ -562,7 +562,7 @@ impl<'map, 'bitp> Column for WriterFastFieldAccessProvider<'map, 'bitp> {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
@@ -34,7 +34,7 @@ mod tests {
|
||||
|
||||
use crate::directory::{CompositeFile, Directory, RamDirectory, WritePtr};
|
||||
use crate::fieldnorm::{FieldNormReader, FieldNormsSerializer, FieldNormsWriter};
|
||||
use crate::query::{Query, TermQuery};
|
||||
use crate::query::{EnableScoring, Query, TermQuery};
|
||||
use crate::schema::{
|
||||
Field, IndexRecordOption, Schema, TextFieldIndexing, TextOptions, STORED, TEXT,
|
||||
};
|
||||
@@ -112,7 +112,7 @@ mod tests {
|
||||
Term::from_field_text(text, "hello"),
|
||||
IndexRecordOption::WithFreqs,
|
||||
);
|
||||
let weight = query.weight(&searcher, true)?;
|
||||
let weight = query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let mut scorer = weight.scorer(searcher.segment_reader(0), 1.0f32)?;
|
||||
assert_eq!(scorer.doc(), 0);
|
||||
assert!((scorer.score() - 0.22920431).abs() < 0.001f32);
|
||||
@@ -141,7 +141,7 @@ mod tests {
|
||||
Term::from_field_text(text, "hello"),
|
||||
IndexRecordOption::WithFreqs,
|
||||
);
|
||||
let weight = query.weight(&searcher, true)?;
|
||||
let weight = query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let mut scorer = weight.scorer(searcher.segment_reader(0), 1.0f32)?;
|
||||
assert_eq!(scorer.doc(), 0);
|
||||
assert!((scorer.score() - 0.22920431).abs() < 0.001f32);
|
||||
|
||||
@@ -9,7 +9,7 @@ use crate::DocId;
|
||||
/// The `FieldNormsWriter` is in charge of tracking the fieldnorm byte
|
||||
/// of each document for each field with field norms.
|
||||
///
|
||||
/// `FieldNormsWriter` stores a Vec<u8> for each tracked field, using a
|
||||
/// `FieldNormsWriter` stores a `Vec<u8>` for each tracked field, using a
|
||||
/// byte per document per field.
|
||||
pub struct FieldNormsWriter {
|
||||
fieldnorms_buffers: Vec<Option<Vec<u8>>>,
|
||||
|
||||
@@ -19,9 +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::query::{EnableScoring, Query, TermQuery};
|
||||
use crate::schema::{Document, IndexRecordOption, Term};
|
||||
use crate::{FutureResult, IndexReader, Opstamp};
|
||||
use crate::{FutureResult, 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.
|
||||
@@ -57,7 +57,6 @@ pub struct IndexWriter {
|
||||
_directory_lock: Option<DirectoryLock>,
|
||||
|
||||
index: Index,
|
||||
index_reader: IndexReader,
|
||||
|
||||
memory_arena_in_bytes_per_thread: usize,
|
||||
|
||||
@@ -95,7 +94,7 @@ fn compute_deleted_bitset(
|
||||
// document that were inserted before it.
|
||||
delete_op
|
||||
.target
|
||||
.for_each(segment_reader, &mut |doc_matching_delete_query, _| {
|
||||
.for_each_no_score(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;
|
||||
@@ -298,8 +297,6 @@ 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,
|
||||
|
||||
@@ -681,8 +678,7 @@ impl IndexWriter {
|
||||
/// 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 weight = query.weight(EnableScoring::Disabled(&self.index.schema()))?;
|
||||
let opstamp = self.stamper.stamp();
|
||||
let delete_operation = DeleteOperation {
|
||||
opstamp,
|
||||
@@ -763,8 +759,7 @@ impl IndexWriter {
|
||||
match user_op {
|
||||
UserOperation::Delete(term) => {
|
||||
let query = TermQuery::new(term, IndexRecordOption::Basic);
|
||||
let weight = query.weight(&self.index_reader.searcher(), false)?;
|
||||
|
||||
let weight = query.weight(EnableScoring::Disabled(&self.index.schema()))?;
|
||||
let delete_operation = DeleteOperation {
|
||||
opstamp,
|
||||
target: weight,
|
||||
@@ -1472,7 +1467,7 @@ mod tests {
|
||||
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))
|
||||
.map(|doc| fast_field_reader.get_val(doc))
|
||||
.collect();
|
||||
assert_eq!(&in_order_alive_ids[..], &[9, 8, 7, 6, 5, 4, 1, 0]);
|
||||
Ok(())
|
||||
@@ -1533,7 +1528,7 @@ mod tests {
|
||||
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))
|
||||
.map(|doc| fast_field_reader.get_val(doc))
|
||||
.collect();
|
||||
assert_eq!(&in_order_alive_ids[..], &[9, 8, 7, 6, 5, 4, 2, 0]);
|
||||
Ok(())
|
||||
@@ -1591,6 +1586,25 @@ mod tests {
|
||||
(existing_ids, deleted_ids)
|
||||
}
|
||||
|
||||
fn get_id_list(ops: &[IndexingOp]) -> Vec<u64> {
|
||||
let mut id_list = Vec::new();
|
||||
for &op in ops {
|
||||
match op {
|
||||
IndexingOp::AddDoc { id } => {
|
||||
id_list.push(id);
|
||||
}
|
||||
IndexingOp::DeleteDoc { id } => {
|
||||
id_list.retain(|el| *el != id);
|
||||
}
|
||||
IndexingOp::DeleteDocQuery { id } => {
|
||||
id_list.retain(|el| *el != id);
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
id_list
|
||||
}
|
||||
|
||||
fn test_operation_strategy(
|
||||
ops: &[IndexingOp],
|
||||
sort_index: bool,
|
||||
@@ -1600,7 +1614,9 @@ mod tests {
|
||||
let ip_field = schema_builder.add_ip_addr_field("ip", FAST | INDEXED | STORED);
|
||||
let ips_field = schema_builder.add_ip_addr_field(
|
||||
"ips",
|
||||
IpAddrOptions::default().set_fast(Cardinality::MultiValues),
|
||||
IpAddrOptions::default()
|
||||
.set_fast(Cardinality::MultiValues)
|
||||
.set_indexed(),
|
||||
);
|
||||
let id_field = schema_builder.add_u64_field("id", FAST | INDEXED | STORED);
|
||||
let i64_field = schema_builder.add_i64_field("i64", INDEXED);
|
||||
@@ -1619,6 +1635,7 @@ mod tests {
|
||||
);
|
||||
|
||||
let large_text_field = schema_builder.add_text_field("large_text_field", TEXT | STORED);
|
||||
let multi_text_fields = schema_builder.add_text_field("multi_text_fields", TEXT | STORED);
|
||||
|
||||
let multi_numbers = schema_builder.add_u64_field(
|
||||
"multi_numbers",
|
||||
@@ -1658,11 +1675,19 @@ mod tests {
|
||||
|
||||
let ip_exists = |id| id % 3 != 0; // 0 does not exist
|
||||
|
||||
let multi_text_field_text1 = "test1 test2 test3 test1 test2 test3";
|
||||
// rotate left
|
||||
let multi_text_field_text2 = "test2 test3 test1 test2 test3 test1";
|
||||
// rotate right
|
||||
let multi_text_field_text3 = "test3 test1 test2 test3 test1 test2";
|
||||
|
||||
let ip_from_id = |id| Ipv6Addr::from_u128(id as u128);
|
||||
|
||||
for &op in ops {
|
||||
match op {
|
||||
IndexingOp::AddDoc { id } => {
|
||||
let facet = Facet::from(&("/cola/".to_string() + &id.to_string()));
|
||||
let ip_from_id = Ipv6Addr::from_u128(id as u128);
|
||||
let ip = ip_from_id(id);
|
||||
|
||||
if !ip_exists(id) {
|
||||
// every 3rd doc has no ip field
|
||||
@@ -1678,14 +1703,17 @@ mod tests {
|
||||
multi_bools => (id % 2u64) == 0,
|
||||
text_field => id.to_string(),
|
||||
facet_field => facet,
|
||||
large_text_field=> LOREM
|
||||
large_text_field => LOREM,
|
||||
multi_text_fields => multi_text_field_text1,
|
||||
multi_text_fields => multi_text_field_text2,
|
||||
multi_text_fields => multi_text_field_text3,
|
||||
))?;
|
||||
} else {
|
||||
index_writer.add_document(doc!(id_field=>id,
|
||||
bytes_field => id.to_le_bytes().as_slice(),
|
||||
ip_field => ip_from_id,
|
||||
ips_field => ip_from_id,
|
||||
ips_field => ip_from_id,
|
||||
ip_field => ip,
|
||||
ips_field => ip,
|
||||
ips_field => ip,
|
||||
multi_numbers=> id,
|
||||
multi_numbers => id,
|
||||
bool_field => (id % 2u64) != 0,
|
||||
@@ -1696,7 +1724,10 @@ mod tests {
|
||||
multi_bools => (id % 2u64) == 0,
|
||||
text_field => id.to_string(),
|
||||
facet_field => facet,
|
||||
large_text_field=> LOREM
|
||||
large_text_field => LOREM,
|
||||
multi_text_fields => multi_text_field_text1,
|
||||
multi_text_fields => multi_text_field_text2,
|
||||
multi_text_fields => multi_text_field_text3,
|
||||
))?;
|
||||
}
|
||||
}
|
||||
@@ -1725,6 +1756,7 @@ mod tests {
|
||||
index_writer.commit()?;
|
||||
|
||||
let searcher = index.reader()?.searcher();
|
||||
let num_segments_before_merge = searcher.segment_readers().len();
|
||||
if force_end_merge {
|
||||
index_writer.wait_merging_threads()?;
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
@@ -1736,6 +1768,7 @@ mod tests {
|
||||
assert!(index_writer.wait_merging_threads().is_ok());
|
||||
}
|
||||
}
|
||||
let num_segments_after_merge = searcher.segment_readers().len();
|
||||
|
||||
old_reader.reload()?;
|
||||
let old_searcher = old_reader.searcher();
|
||||
@@ -1747,7 +1780,7 @@ mod tests {
|
||||
let ff_reader = segment_reader.fast_fields().u64(id_field).unwrap();
|
||||
segment_reader
|
||||
.doc_ids_alive()
|
||||
.map(move |doc| ff_reader.get_val(doc as u64))
|
||||
.map(move |doc| ff_reader.get_val(doc))
|
||||
})
|
||||
.collect();
|
||||
|
||||
@@ -1758,11 +1791,27 @@ mod tests {
|
||||
let ff_reader = segment_reader.fast_fields().u64(id_field).unwrap();
|
||||
segment_reader
|
||||
.doc_ids_alive()
|
||||
.map(move |doc| ff_reader.get_val(doc as u64))
|
||||
.map(move |doc| ff_reader.get_val(doc))
|
||||
})
|
||||
.collect();
|
||||
|
||||
let (expected_ids_and_num_occurrences, deleted_ids) = expected_ids(ops);
|
||||
|
||||
let id_list = get_id_list(ops);
|
||||
|
||||
// multivalue fast field content
|
||||
let mut all_ips = Vec::new();
|
||||
let mut num_ips = 0;
|
||||
for segment_reader in searcher.segment_readers().iter() {
|
||||
let ip_reader = segment_reader.fast_fields().ip_addrs(ips_field).unwrap();
|
||||
for doc in segment_reader.doc_ids_alive() {
|
||||
let mut vals = vec![];
|
||||
ip_reader.get_vals(doc, &mut vals);
|
||||
all_ips.extend_from_slice(&vals);
|
||||
}
|
||||
num_ips += ip_reader.total_num_vals();
|
||||
}
|
||||
|
||||
let num_docs_expected = expected_ids_and_num_occurrences
|
||||
.iter()
|
||||
.map(|(_, id_occurrences)| *id_occurrences as usize)
|
||||
@@ -1784,6 +1833,30 @@ mod tests {
|
||||
.collect::<HashSet<_>>()
|
||||
);
|
||||
|
||||
if force_end_merge && num_segments_before_merge > 1 && num_segments_after_merge == 1 {
|
||||
let mut expected_multi_ips: Vec<_> = id_list
|
||||
.iter()
|
||||
.filter(|id| ip_exists(**id))
|
||||
.flat_map(|id| vec![ip_from_id(*id), ip_from_id(*id)])
|
||||
.collect();
|
||||
assert_eq!(num_ips, expected_multi_ips.len() as u32);
|
||||
|
||||
expected_multi_ips.sort();
|
||||
all_ips.sort();
|
||||
assert_eq!(expected_multi_ips, all_ips);
|
||||
|
||||
// Test fastfield num_docs
|
||||
let num_docs: usize = searcher
|
||||
.segment_readers()
|
||||
.iter()
|
||||
.map(|segment_reader| {
|
||||
let ff_reader = segment_reader.fast_fields().ip_addrs(ips_field).unwrap();
|
||||
ff_reader.get_index_reader().num_docs() as usize
|
||||
})
|
||||
.sum();
|
||||
assert_eq!(num_docs, num_docs_expected);
|
||||
}
|
||||
|
||||
// Load all ips addr
|
||||
let ips: HashSet<Ipv6Addr> = searcher
|
||||
.segment_readers()
|
||||
@@ -1791,7 +1864,7 @@ mod tests {
|
||||
.flat_map(|segment_reader| {
|
||||
let ff_reader = segment_reader.fast_fields().ip_addr(ip_field).unwrap();
|
||||
segment_reader.doc_ids_alive().flat_map(move |doc| {
|
||||
let val = ff_reader.get_val(doc as u64);
|
||||
let val = ff_reader.get_val(doc);
|
||||
if val == Ipv6Addr::from_u128(0) {
|
||||
// TODO Fix null handling
|
||||
None
|
||||
@@ -1848,7 +1921,7 @@ mod tests {
|
||||
ff_reader.get_vals(doc, &mut vals);
|
||||
assert_eq!(vals.len(), 2);
|
||||
assert_eq!(vals[0], vals[1]);
|
||||
assert_eq!(id_reader.get_val(doc as u64), vals[0]);
|
||||
assert_eq!(id_reader.get_val(doc), vals[0]);
|
||||
|
||||
let mut bool_vals = vec![];
|
||||
bool_ff_reader.get_vals(doc, &mut bool_vals);
|
||||
@@ -1922,11 +1995,21 @@ mod tests {
|
||||
|
||||
for (existing_id, count) in &expected_ids_and_num_occurrences {
|
||||
let (existing_id, count) = (*existing_id, *count);
|
||||
let assert_field = |field| do_search(&existing_id.to_string(), field).len() as u64;
|
||||
assert_eq!(assert_field(text_field), count);
|
||||
assert_eq!(assert_field(i64_field), count);
|
||||
assert_eq!(assert_field(f64_field), count);
|
||||
assert_eq!(assert_field(id_field), count);
|
||||
let get_num_hits = |field| do_search(&existing_id.to_string(), field).len() as u64;
|
||||
assert_eq!(get_num_hits(text_field), count);
|
||||
assert_eq!(get_num_hits(i64_field), count);
|
||||
assert_eq!(get_num_hits(f64_field), count);
|
||||
assert_eq!(get_num_hits(id_field), count);
|
||||
|
||||
// Test multi text
|
||||
assert_eq!(
|
||||
do_search("\"test1 test2\"", multi_text_fields).len(),
|
||||
num_docs_expected
|
||||
);
|
||||
assert_eq!(
|
||||
do_search("\"test2 test3\"", multi_text_fields).len(),
|
||||
num_docs_expected
|
||||
);
|
||||
|
||||
// Test bytes
|
||||
let term = Term::from_field_bytes(bytes_field, existing_id.to_le_bytes().as_slice());
|
||||
@@ -1977,6 +2060,51 @@ mod tests {
|
||||
assert_eq!(do_search_ip_field(&format!("\"{}\"", ip_addr)), count);
|
||||
}
|
||||
}
|
||||
|
||||
// assert data is like expected
|
||||
//
|
||||
for (existing_id, count) in expected_ids_and_num_occurrences.iter().take(10) {
|
||||
let (existing_id, count) = (*existing_id, *count);
|
||||
if !ip_exists(existing_id) {
|
||||
continue;
|
||||
}
|
||||
let gen_query_inclusive = |field: &str, from: Ipv6Addr, to: Ipv6Addr| {
|
||||
format!("{}:[{} TO {}]", field, &from.to_string(), &to.to_string())
|
||||
};
|
||||
let ip = ip_from_id(existing_id);
|
||||
|
||||
let do_search_ip_field = |term: &str| do_search(term, ip_field).len() as u64;
|
||||
// Range query on single value field
|
||||
// let query = gen_query_inclusive("ip", ip, ip);
|
||||
// assert_eq!(do_search_ip_field(&query), count);
|
||||
|
||||
// Range query on multi value field
|
||||
let query = gen_query_inclusive("ips", ip, ip);
|
||||
assert_eq!(do_search_ip_field(&query), count);
|
||||
}
|
||||
|
||||
// ip range query on fast field
|
||||
//
|
||||
for (existing_id, count) in expected_ids_and_num_occurrences.iter().take(10) {
|
||||
let (existing_id, count) = (*existing_id, *count);
|
||||
if !ip_exists(existing_id) {
|
||||
continue;
|
||||
}
|
||||
let gen_query_inclusive = |field: &str, from: Ipv6Addr, to: Ipv6Addr| {
|
||||
format!("{}:[{} TO {}]", field, &from.to_string(), &to.to_string())
|
||||
};
|
||||
let ip = ip_from_id(existing_id);
|
||||
|
||||
let do_search_ip_field = |term: &str| do_search(term, ip_field).len() as u64;
|
||||
// Range query on single value field
|
||||
// let query = gen_query_inclusive("ip", ip, ip);
|
||||
// assert_eq!(do_search_ip_field(&query), count);
|
||||
|
||||
// Range query on multi value field
|
||||
let query = gen_query_inclusive("ips", ip, ip);
|
||||
assert_eq!(do_search_ip_field(&query), count);
|
||||
}
|
||||
|
||||
// test facets
|
||||
for segment_reader in searcher.segment_readers().iter() {
|
||||
let mut facet_reader = segment_reader.facet_reader(facet_field).unwrap();
|
||||
@@ -1989,7 +2117,7 @@ mod tests {
|
||||
facet_reader
|
||||
.facet_from_ord(facet_ords[0], &mut facet)
|
||||
.unwrap();
|
||||
let id = ff_reader.get_val(doc_id as u64);
|
||||
let id = ff_reader.get_val(doc_id);
|
||||
let facet_expected = Facet::from(&("/cola/".to_string() + &id.to_string()));
|
||||
|
||||
assert_eq!(facet, facet_expected);
|
||||
@@ -1998,6 +2126,40 @@ mod tests {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ip_range_query_multivalue_bug() {
|
||||
assert!(test_operation_strategy(
|
||||
&[
|
||||
IndexingOp::AddDoc { id: 2 },
|
||||
IndexingOp::Commit,
|
||||
IndexingOp::AddDoc { id: 1 },
|
||||
IndexingOp::AddDoc { id: 1 },
|
||||
IndexingOp::Commit,
|
||||
IndexingOp::Merge
|
||||
],
|
||||
true,
|
||||
false
|
||||
)
|
||||
.is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ff_num_ips_regression() {
|
||||
assert!(test_operation_strategy(
|
||||
&[
|
||||
IndexingOp::AddDoc { id: 13 },
|
||||
IndexingOp::AddDoc { id: 1 },
|
||||
IndexingOp::Commit,
|
||||
IndexingOp::DeleteDocQuery { id: 13 },
|
||||
IndexingOp::AddDoc { id: 1 },
|
||||
IndexingOp::Commit,
|
||||
],
|
||||
false,
|
||||
true
|
||||
)
|
||||
.is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_minimal() {
|
||||
assert!(test_operation_strategy(
|
||||
@@ -2007,7 +2169,7 @@ mod tests {
|
||||
IndexingOp::DeleteDoc { id: 13 }
|
||||
],
|
||||
true,
|
||||
false
|
||||
true
|
||||
)
|
||||
.is_ok());
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use fastfield_codecs::MonotonicallyMappableToU64;
|
||||
use fnv::FnvHashMap;
|
||||
use murmurhash32::murmurhash2;
|
||||
use rustc_hash::FxHashMap;
|
||||
|
||||
use crate::fastfield::FastValue;
|
||||
use crate::postings::{IndexingContext, IndexingPosition, PostingsWriter};
|
||||
@@ -52,7 +52,7 @@ use crate::{DatePrecision, DateTime, DocId, Term};
|
||||
/// path map to the same index position as long as the probability is relatively low.
|
||||
#[derive(Default)]
|
||||
struct IndexingPositionsPerPath {
|
||||
positions_per_path: FnvHashMap<u32, IndexingPosition>,
|
||||
positions_per_path: FxHashMap<u32, IndexingPosition>,
|
||||
}
|
||||
|
||||
impl IndexingPositionsPerPath {
|
||||
@@ -67,11 +67,12 @@ pub(crate) fn index_json_values<'a>(
|
||||
doc: DocId,
|
||||
json_values: impl Iterator<Item = crate::Result<&'a serde_json::Map<String, serde_json::Value>>>,
|
||||
text_analyzer: &TextAnalyzer,
|
||||
expand_dots_enabled: bool,
|
||||
term_buffer: &mut Term,
|
||||
postings_writer: &mut dyn PostingsWriter,
|
||||
ctx: &mut IndexingContext,
|
||||
) -> crate::Result<()> {
|
||||
let mut json_term_writer = JsonTermWriter::wrap(term_buffer);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(term_buffer, expand_dots_enabled);
|
||||
let mut positions_per_path: IndexingPositionsPerPath = Default::default();
|
||||
for json_value_res in json_values {
|
||||
let json_value = json_value_res?;
|
||||
@@ -259,29 +260,65 @@ pub(crate) fn set_string_and_get_terms(
|
||||
pub struct JsonTermWriter<'a> {
|
||||
term_buffer: &'a mut Term,
|
||||
path_stack: Vec<usize>,
|
||||
expand_dots_enabled: bool,
|
||||
}
|
||||
|
||||
/// Splits a json path supplied to the query parser in such a way that
|
||||
/// `.` can be escaped.
|
||||
///
|
||||
/// In other words,
|
||||
/// - `k8s.node` ends up as `["k8s", "node"]`.
|
||||
/// - `k8s\.node` ends up as `["k8s.node"]`.
|
||||
fn split_json_path(json_path: &str) -> Vec<String> {
|
||||
let mut escaped_state: bool = false;
|
||||
let mut json_path_segments = Vec::new();
|
||||
let mut buffer = String::new();
|
||||
for ch in json_path.chars() {
|
||||
if escaped_state {
|
||||
buffer.push(ch);
|
||||
escaped_state = false;
|
||||
continue;
|
||||
}
|
||||
match ch {
|
||||
'\\' => {
|
||||
escaped_state = true;
|
||||
}
|
||||
'.' => {
|
||||
let new_segment = std::mem::take(&mut buffer);
|
||||
json_path_segments.push(new_segment);
|
||||
}
|
||||
_ => {
|
||||
buffer.push(ch);
|
||||
}
|
||||
}
|
||||
}
|
||||
json_path_segments.push(buffer);
|
||||
json_path_segments
|
||||
}
|
||||
|
||||
impl<'a> JsonTermWriter<'a> {
|
||||
pub fn from_field_and_json_path(
|
||||
field: Field,
|
||||
json_path: &str,
|
||||
expand_dots_enabled: bool,
|
||||
term_buffer: &'a mut Term,
|
||||
) -> Self {
|
||||
term_buffer.set_field_and_type(field, Type::Json);
|
||||
let mut json_term_writer = Self::wrap(term_buffer);
|
||||
for segment in json_path.split('.') {
|
||||
json_term_writer.push_path_segment(segment);
|
||||
let mut json_term_writer = Self::wrap(term_buffer, expand_dots_enabled);
|
||||
for segment in split_json_path(json_path) {
|
||||
json_term_writer.push_path_segment(&segment);
|
||||
}
|
||||
json_term_writer
|
||||
}
|
||||
|
||||
pub fn wrap(term_buffer: &'a mut Term) -> Self {
|
||||
pub fn wrap(term_buffer: &'a mut Term, expand_dots_enabled: bool) -> Self {
|
||||
term_buffer.clear_with_type(Type::Json);
|
||||
let mut path_stack = Vec::with_capacity(10);
|
||||
path_stack.push(0);
|
||||
Self {
|
||||
term_buffer,
|
||||
path_stack,
|
||||
expand_dots_enabled,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -303,11 +340,24 @@ impl<'a> JsonTermWriter<'a> {
|
||||
self.trim_to_end_of_path();
|
||||
let buffer = self.term_buffer.value_bytes_mut();
|
||||
let buffer_len = buffer.len();
|
||||
|
||||
if self.path_stack.len() > 1 {
|
||||
buffer[buffer_len - 1] = JSON_PATH_SEGMENT_SEP;
|
||||
}
|
||||
self.term_buffer.append_bytes(segment.as_bytes());
|
||||
self.term_buffer.append_bytes(&[JSON_PATH_SEGMENT_SEP]);
|
||||
if self.expand_dots_enabled && segment.as_bytes().contains(&b'.') {
|
||||
// We need to replace `.` by JSON_PATH_SEGMENT_SEP.
|
||||
self.term_buffer
|
||||
.append_bytes(segment.as_bytes())
|
||||
.iter_mut()
|
||||
.for_each(|byte| {
|
||||
if *byte == b'.' {
|
||||
*byte = JSON_PATH_SEGMENT_SEP;
|
||||
}
|
||||
});
|
||||
} else {
|
||||
self.term_buffer.append_bytes(segment.as_bytes());
|
||||
}
|
||||
self.term_buffer.push_byte(JSON_PATH_SEGMENT_SEP);
|
||||
self.path_stack.push(self.term_buffer.len_bytes());
|
||||
}
|
||||
|
||||
@@ -350,7 +400,7 @@ impl<'a> JsonTermWriter<'a> {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::JsonTermWriter;
|
||||
use super::{split_json_path, JsonTermWriter};
|
||||
use crate::schema::{Field, Type};
|
||||
use crate::Term;
|
||||
|
||||
@@ -358,7 +408,7 @@ mod tests {
|
||||
fn test_json_writer() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("attributes");
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_str("red");
|
||||
@@ -392,7 +442,7 @@ mod tests {
|
||||
fn test_string_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_str("red");
|
||||
assert_eq!(
|
||||
@@ -405,7 +455,7 @@ mod tests {
|
||||
fn test_i64_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(-4i64);
|
||||
assert_eq!(
|
||||
@@ -418,7 +468,7 @@ mod tests {
|
||||
fn test_u64_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(4u64);
|
||||
assert_eq!(
|
||||
@@ -431,7 +481,7 @@ mod tests {
|
||||
fn test_f64_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(4.0f64);
|
||||
assert_eq!(
|
||||
@@ -444,7 +494,7 @@ mod tests {
|
||||
fn test_bool_term() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.set_fast_value(true);
|
||||
assert_eq!(
|
||||
@@ -457,7 +507,7 @@ mod tests {
|
||||
fn test_push_after_set_path_segment() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("attribute");
|
||||
json_writer.set_str("something");
|
||||
json_writer.push_path_segment("color");
|
||||
@@ -472,7 +522,7 @@ mod tests {
|
||||
fn test_pop_segment() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
json_writer.push_path_segment("hue");
|
||||
json_writer.pop_path_segment();
|
||||
@@ -487,7 +537,7 @@ mod tests {
|
||||
fn test_json_writer_path() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color");
|
||||
assert_eq!(json_writer.path(), b"color");
|
||||
json_writer.push_path_segment("hue");
|
||||
@@ -495,4 +545,79 @@ mod tests {
|
||||
json_writer.set_str("pink");
|
||||
assert_eq!(json_writer.path(), b"color\x01hue");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_disabled() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_writer.push_path_segment("color.hue");
|
||||
assert_eq!(json_writer.path(), b"color.hue");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_enabled() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, true);
|
||||
json_writer.push_path_segment("color.hue");
|
||||
assert_eq!(json_writer.path(), b"color\x01hue");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_path_expand_dots_enabled_pop_segment() {
|
||||
let field = Field::from_field_id(1);
|
||||
let mut term = Term::with_type_and_field(Type::Json, field);
|
||||
let mut json_writer = JsonTermWriter::wrap(&mut term, true);
|
||||
json_writer.push_path_segment("hello");
|
||||
assert_eq!(json_writer.path(), b"hello");
|
||||
json_writer.push_path_segment("color.hue");
|
||||
assert_eq!(json_writer.path(), b"hello\x01color\x01hue");
|
||||
json_writer.pop_path_segment();
|
||||
assert_eq!(json_writer.path(), b"hello");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_simple() {
|
||||
let json_path = split_json_path("titi.toto");
|
||||
assert_eq!(&json_path, &["titi", "toto"]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_single_segment() {
|
||||
let json_path = split_json_path("toto");
|
||||
assert_eq!(&json_path, &["toto"]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_trailing_dot() {
|
||||
let json_path = split_json_path("toto.");
|
||||
assert_eq!(&json_path, &["toto", ""]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_heading_dot() {
|
||||
let json_path = split_json_path(".toto");
|
||||
assert_eq!(&json_path, &["", "toto"]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_escaped_dot() {
|
||||
let json_path = split_json_path(r#"toto\.titi"#);
|
||||
assert_eq!(&json_path, &["toto.titi"]);
|
||||
let json_path_2 = split_json_path(r#"k8s\.container\.name"#);
|
||||
assert_eq!(&json_path_2, &["k8s.container.name"]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_escaped_backslash() {
|
||||
let json_path = split_json_path(r#"toto\\titi"#);
|
||||
assert_eq!(&json_path, &[r#"toto\titi"#]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_json_path_escaped_normal_letter() {
|
||||
let json_path = split_json_path(r#"toto\titi"#);
|
||||
assert_eq!(&json_path, &[r#"tototiti"#]);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -13,7 +13,7 @@ use crate::docset::{DocSet, TERMINATED};
|
||||
use crate::error::DataCorruption;
|
||||
use crate::fastfield::{
|
||||
get_fastfield_codecs_for_multivalue, AliveBitSet, Column, CompositeFastFieldSerializer,
|
||||
MultiValueLength, MultiValuedFastFieldReader, MultiValuedU128FastFieldReader,
|
||||
MultiValueIndex, MultiValuedFastFieldReader, MultiValuedU128FastFieldReader,
|
||||
};
|
||||
use crate::fieldnorm::{FieldNormReader, FieldNormReaders, FieldNormsSerializer, FieldNormsWriter};
|
||||
use crate::indexer::doc_id_mapping::{expect_field_id_for_sort_field, SegmentDocIdMapping};
|
||||
@@ -348,9 +348,29 @@ impl IndexMerger {
|
||||
field,
|
||||
fast_field_serializer,
|
||||
doc_id_mapping,
|
||||
&segment_and_ff_readers,
|
||||
&segment_and_ff_readers
|
||||
.iter()
|
||||
.map(|(segment_reader, u64s_reader)| {
|
||||
(*segment_reader, u64s_reader.get_index_reader())
|
||||
})
|
||||
.collect::<Vec<_>>(),
|
||||
)?;
|
||||
|
||||
let num_vals = segment_and_ff_readers
|
||||
.iter()
|
||||
.map(|(segment_reader, reader)| {
|
||||
// TODO implement generic version, implement reverse scan, all - deletes
|
||||
if let Some(alive_bitset) = segment_reader.alive_bitset() {
|
||||
alive_bitset
|
||||
.iter_alive()
|
||||
.map(|doc| reader.num_vals(doc))
|
||||
.sum()
|
||||
} else {
|
||||
reader.total_num_vals() as u32
|
||||
}
|
||||
})
|
||||
.sum();
|
||||
|
||||
let fast_field_readers = segment_and_ff_readers
|
||||
.into_iter()
|
||||
.map(|(_, ff_reader)| ff_reader)
|
||||
@@ -365,12 +385,7 @@ impl IndexMerger {
|
||||
})
|
||||
};
|
||||
|
||||
fast_field_serializer.create_u128_fast_field_with_idx(
|
||||
field,
|
||||
iter_gen,
|
||||
doc_id_mapping.len() as u64,
|
||||
1,
|
||||
)?;
|
||||
fast_field_serializer.create_u128_fast_field_with_idx(field, iter_gen, num_vals, 1)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@@ -397,13 +412,13 @@ impl IndexMerger {
|
||||
let iter_gen = || {
|
||||
doc_id_mapping.iter_old_doc_addrs().map(|doc_addr| {
|
||||
let fast_field_reader = &fast_field_readers[doc_addr.segment_ord as usize];
|
||||
fast_field_reader.get_val(doc_addr.doc_id as u64)
|
||||
fast_field_reader.get_val(doc_addr.doc_id)
|
||||
})
|
||||
};
|
||||
fast_field_serializer.create_u128_fast_field_with_idx(
|
||||
field,
|
||||
iter_gen,
|
||||
doc_id_mapping.len() as u64,
|
||||
doc_id_mapping.len() as u32,
|
||||
0,
|
||||
)?;
|
||||
Ok(())
|
||||
@@ -510,8 +525,8 @@ impl IndexMerger {
|
||||
doc_id_reader_pair
|
||||
.into_iter()
|
||||
.kmerge_by(|a, b| {
|
||||
let val1 = a.2.get_val(a.0 as u64);
|
||||
let val2 = b.2.get_val(b.0 as u64);
|
||||
let val1 = a.2.get_val(a.0);
|
||||
let val2 = b.2.get_val(b.0);
|
||||
if sort_by_field.order == Order::Asc {
|
||||
val1 < val2
|
||||
} else {
|
||||
@@ -529,11 +544,11 @@ 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 + Send + Sync>(
|
||||
fn write_1_n_fast_field_idx_generic(
|
||||
field: Field,
|
||||
fast_field_serializer: &mut CompositeFastFieldSerializer,
|
||||
doc_id_mapping: &SegmentDocIdMapping,
|
||||
segment_and_ff_readers: &[(&SegmentReader, T)],
|
||||
segment_and_ff_readers: &[(&SegmentReader, &MultiValueIndex)],
|
||||
) -> crate::Result<()> {
|
||||
let column =
|
||||
RemappedDocIdMultiValueIndexColumn::new(segment_and_ff_readers, doc_id_mapping);
|
||||
@@ -567,7 +582,12 @@ impl IndexMerger {
|
||||
field,
|
||||
fast_field_serializer,
|
||||
doc_id_mapping,
|
||||
&segment_and_ff_readers,
|
||||
&segment_and_ff_readers
|
||||
.iter()
|
||||
.map(|(segment_reader, u64s_reader)| {
|
||||
(*segment_reader, u64s_reader.get_index_reader())
|
||||
})
|
||||
.collect::<Vec<_>>(),
|
||||
)
|
||||
}
|
||||
|
||||
@@ -697,7 +717,12 @@ impl IndexMerger {
|
||||
field,
|
||||
fast_field_serializer,
|
||||
doc_id_mapping,
|
||||
&segment_and_ff_readers,
|
||||
&segment_and_ff_readers
|
||||
.iter()
|
||||
.map(|(segment_reader, u64s_reader)| {
|
||||
(*segment_reader, u64s_reader.get_index_reader())
|
||||
})
|
||||
.collect::<Vec<_>>(),
|
||||
)?;
|
||||
|
||||
let mut serialize_vals = fast_field_serializer.new_bytes_fast_field(field);
|
||||
@@ -804,7 +829,7 @@ impl IndexMerger {
|
||||
// Let's compute the list of non-empty posting lists
|
||||
for (segment_ord, term_info) in merged_terms.current_segment_ords_and_term_infos() {
|
||||
let segment_reader = &self.readers[segment_ord];
|
||||
let inverted_index: &InvertedIndexReader = &*field_readers[segment_ord];
|
||||
let inverted_index: &InvertedIndexReader = &field_readers[segment_ord];
|
||||
let segment_postings = inverted_index
|
||||
.read_postings_from_terminfo(&term_info, segment_postings_option)?;
|
||||
let alive_bitset_opt = segment_reader.alive_bitset();
|
||||
@@ -1039,7 +1064,7 @@ mod tests {
|
||||
};
|
||||
use crate::collector::{Count, FacetCollector};
|
||||
use crate::core::Index;
|
||||
use crate::query::{AllQuery, BooleanQuery, Scorer, TermQuery};
|
||||
use crate::query::{AllQuery, BooleanQuery, EnableScoring, Scorer, TermQuery};
|
||||
use crate::schema::{
|
||||
Cardinality, Document, Facet, FacetOptions, IndexRecordOption, NumericOptions, Term,
|
||||
TextFieldIndexing, INDEXED, TEXT,
|
||||
@@ -1952,7 +1977,7 @@ mod tests {
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let mut term_scorer = term_query
|
||||
.specialized_weight(&searcher, true)?
|
||||
.specialized_weight(EnableScoring::Enabled(&searcher))?
|
||||
.specialized_scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert_eq!(term_scorer.doc(), 0);
|
||||
assert_nearly_equals!(term_scorer.block_max_score(), 0.0079681855);
|
||||
@@ -1967,7 +1992,7 @@ mod tests {
|
||||
assert_eq!(searcher.segment_readers().len(), 2);
|
||||
for segment_reader in searcher.segment_readers() {
|
||||
let mut term_scorer = term_query
|
||||
.specialized_weight(&searcher, true)?
|
||||
.specialized_weight(EnableScoring::Enabled(&searcher))?
|
||||
.specialized_scorer(segment_reader, 1.0)?;
|
||||
// the difference compared to before is intrinsic to the bm25 formula. no worries
|
||||
// there.
|
||||
@@ -1992,7 +2017,7 @@ mod tests {
|
||||
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let mut term_scorer = term_query
|
||||
.specialized_weight(&searcher, true)?
|
||||
.specialized_weight(EnableScoring::Enabled(&searcher))?
|
||||
.specialized_scorer(segment_reader, 1.0)?;
|
||||
// the difference compared to before is intrinsic to the bm25 formula. no worries there.
|
||||
for doc in segment_reader.doc_ids_alive() {
|
||||
|
||||
@@ -190,13 +190,13 @@ mod tests {
|
||||
assert_eq!(fast_field.get_val(4), 2u64);
|
||||
assert_eq!(fast_field.get_val(3), 3u64);
|
||||
if force_disjunct_segment_sort_values {
|
||||
assert_eq!(fast_field.get_val(2u64), 20u64);
|
||||
assert_eq!(fast_field.get_val(1u64), 100u64);
|
||||
assert_eq!(fast_field.get_val(2), 20u64);
|
||||
assert_eq!(fast_field.get_val(1), 100u64);
|
||||
} else {
|
||||
assert_eq!(fast_field.get_val(2u64), 10u64);
|
||||
assert_eq!(fast_field.get_val(1u64), 20u64);
|
||||
assert_eq!(fast_field.get_val(2), 10u64);
|
||||
assert_eq!(fast_field.get_val(1), 20u64);
|
||||
}
|
||||
assert_eq!(fast_field.get_val(0u64), 1_000u64);
|
||||
assert_eq!(fast_field.get_val(0), 1_000u64);
|
||||
|
||||
// test new field norm mapping
|
||||
{
|
||||
@@ -545,7 +545,7 @@ mod bench_sorted_index_merge {
|
||||
// add values in order of the new doc_ids
|
||||
let mut val = 0;
|
||||
for (doc_id, _reader, field_reader) in sorted_doc_ids {
|
||||
val = field_reader.get_val(doc_id as u64);
|
||||
val = field_reader.get_val(doc_id);
|
||||
}
|
||||
|
||||
val
|
||||
|
||||
@@ -58,13 +58,15 @@ type AddBatchReceiver = channel::Receiver<AddBatch>;
|
||||
#[cfg(feature = "mmap")]
|
||||
#[cfg(test)]
|
||||
mod tests_mmap {
|
||||
use crate::schema::{self, Schema};
|
||||
use crate::collector::Count;
|
||||
use crate::query::QueryParser;
|
||||
use crate::schema::{JsonObjectOptions, Schema, TEXT};
|
||||
use crate::{Index, Term};
|
||||
|
||||
#[test]
|
||||
fn test_advance_delete_bug() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", schema::TEXT);
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let index = Index::create_from_tempdir(schema_builder.build())?;
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
// there must be one deleted document in the segment
|
||||
@@ -75,7 +77,48 @@ mod tests_mmap {
|
||||
index_writer.add_document(doc!(text_field=>"c"))?;
|
||||
}
|
||||
index_writer.commit()?;
|
||||
index_writer.commit()?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_field_expand_dots_disabled_dot_escaped_required() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let json_field = schema_builder.add_json_field("json", TEXT);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let json = serde_json::json!({"k8s.container.name": "prometheus", "val": "hello"});
|
||||
index_writer.add_document(doc!(json_field=>json)).unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
assert_eq!(searcher.num_docs(), 1);
|
||||
let parse_query = QueryParser::for_index(&index, Vec::new());
|
||||
let query = parse_query
|
||||
.parse_query(r#"json.k8s\.container\.name:prometheus"#)
|
||||
.unwrap();
|
||||
let num_docs = searcher.search(&query, &Count).unwrap();
|
||||
assert_eq!(num_docs, 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_field_expand_dots_enabled_dot_escape_not_required() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let json_options: JsonObjectOptions =
|
||||
JsonObjectOptions::from(TEXT).set_expand_dots_enabled();
|
||||
let json_field = schema_builder.add_json_field("json", json_options);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
let json = serde_json::json!({"k8s.container.name": "prometheus", "val": "hello"});
|
||||
index_writer.add_document(doc!(json_field=>json)).unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
assert_eq!(searcher.num_docs(), 1);
|
||||
let parse_query = QueryParser::for_index(&index, Vec::new());
|
||||
let query = parse_query
|
||||
.parse_query(r#"json.k8s.container.name:prometheus"#)
|
||||
.unwrap();
|
||||
let num_docs = searcher.search(&query, &Count).unwrap();
|
||||
assert_eq!(num_docs, 1);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -180,7 +180,7 @@ impl SegmentWriter {
|
||||
self.per_field_postings_writers.get_for_field_mut(field);
|
||||
term_buffer.clear_with_field_and_type(field_entry.field_type().value_type(), field);
|
||||
|
||||
match *field_entry.field_type() {
|
||||
match field_entry.field_type() {
|
||||
FieldType::Facet(_) => {
|
||||
for value in values {
|
||||
let facet = value.as_facet().ok_or_else(make_schema_error)?;
|
||||
@@ -307,7 +307,7 @@ impl SegmentWriter {
|
||||
self.fieldnorms_writer.record(doc_id, field, num_vals);
|
||||
}
|
||||
}
|
||||
FieldType::JsonObject(_) => {
|
||||
FieldType::JsonObject(json_options) => {
|
||||
let text_analyzer = &self.per_field_text_analyzers[field.field_id() as usize];
|
||||
let json_values_it =
|
||||
values.map(|value| value.as_json().ok_or_else(make_schema_error));
|
||||
@@ -315,6 +315,7 @@ impl SegmentWriter {
|
||||
doc_id,
|
||||
json_values_it,
|
||||
text_analyzer,
|
||||
json_options.is_expand_dots_enabled(),
|
||||
term_buffer,
|
||||
postings_writer,
|
||||
ctx,
|
||||
@@ -557,7 +558,7 @@ mod tests {
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut term_stream = term_dict.stream().unwrap();
|
||||
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
|
||||
json_term_writer.push_path_segment("bool");
|
||||
json_term_writer.set_fast_value(true);
|
||||
@@ -648,7 +649,7 @@ mod tests {
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let inv_index = segment_reader.inverted_index(json_field).unwrap();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("mykey");
|
||||
json_term_writer.set_str("token");
|
||||
let term_info = inv_index
|
||||
@@ -692,7 +693,7 @@ mod tests {
|
||||
let segment_reader = searcher.segment_reader(0u32);
|
||||
let inv_index = segment_reader.inverted_index(json_field).unwrap();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("mykey");
|
||||
json_term_writer.set_str("two tokens");
|
||||
let term_info = inv_index
|
||||
@@ -737,7 +738,7 @@ mod tests {
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let mut term = Term::with_type_and_field(Type::Json, json_field);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
|
||||
let mut json_term_writer = JsonTermWriter::wrap(&mut term, false);
|
||||
json_term_writer.push_path_segment("mykey");
|
||||
json_term_writer.push_path_segment("field");
|
||||
json_term_writer.set_str("hello");
|
||||
@@ -751,4 +752,121 @@ mod tests {
|
||||
let phrase_query = PhraseQuery::new(vec![nothello_term, happy_term]);
|
||||
assert_eq!(searcher.search(&phrase_query, &Count).unwrap(), 0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_bug_regression_1629_position_when_array_with_a_field_value_that_does_not_contain_any_token(
|
||||
) {
|
||||
// We experienced a bug where we would have a position underflow when computing position
|
||||
// delta in an horrible corner case.
|
||||
//
|
||||
// See the commit with this unit test if you want the details.
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let doc = schema
|
||||
.parse_document(r#"{"text": [ "bbb", "aaa", "", "aaa"]}"#)
|
||||
.unwrap();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc).unwrap();
|
||||
// On debug this did panic on the underflow
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let seg_reader = searcher.segment_reader(0);
|
||||
let inv_index = seg_reader.inverted_index(text).unwrap();
|
||||
let term = Term::from_field_text(text, "aaa");
|
||||
let mut postings = inv_index
|
||||
.read_postings(&term, IndexRecordOption::WithFreqsAndPositions)
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0u32);
|
||||
let mut positions = Vec::new();
|
||||
postings.positions(&mut positions);
|
||||
// On release this was [2, 1]. (< note the decreasing values)
|
||||
assert_eq!(positions, &[2, 5]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_multiple_field_value_and_long_tokens() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let mut doc = Document::default();
|
||||
// This is a bit of a contrived example.
|
||||
let tokens = PreTokenizedString {
|
||||
text: "roller-coaster".to_string(),
|
||||
tokens: vec![Token {
|
||||
offset_from: 0,
|
||||
offset_to: 14,
|
||||
position: 0,
|
||||
text: "rollercoaster".to_string(),
|
||||
position_length: 2,
|
||||
}],
|
||||
};
|
||||
doc.add_pre_tokenized_text(text, tokens.clone());
|
||||
doc.add_pre_tokenized_text(text, tokens);
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc).unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let seg_reader = searcher.segment_reader(0);
|
||||
let inv_index = seg_reader.inverted_index(text).unwrap();
|
||||
let term = Term::from_field_text(text, "rollercoaster");
|
||||
let mut postings = inv_index
|
||||
.read_postings(&term, IndexRecordOption::WithFreqsAndPositions)
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0u32);
|
||||
let mut positions = Vec::new();
|
||||
postings.positions(&mut positions);
|
||||
assert_eq!(positions, &[0, 3]); //< as opposed to 0, 2 if we had a position length of 1.
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_last_token_not_ending_last() {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let mut doc = Document::default();
|
||||
// This is a bit of a contrived example.
|
||||
let tokens = PreTokenizedString {
|
||||
text: "contrived-example".to_string(), //< I can't think of a use case where this corner case happens in real life.
|
||||
tokens: vec![Token { // Not the last token, yet ends after the last token.
|
||||
offset_from: 0,
|
||||
offset_to: 14,
|
||||
position: 0,
|
||||
text: "long_token".to_string(),
|
||||
position_length: 3,
|
||||
},
|
||||
Token {
|
||||
offset_from: 0,
|
||||
offset_to: 14,
|
||||
position: 1,
|
||||
text: "short".to_string(),
|
||||
position_length: 1,
|
||||
}],
|
||||
};
|
||||
doc.add_pre_tokenized_text(text, tokens);
|
||||
doc.add_text(text, "hello");
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_for_tests().unwrap();
|
||||
index_writer.add_document(doc).unwrap();
|
||||
index_writer.commit().unwrap();
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
let seg_reader = searcher.segment_reader(0);
|
||||
let inv_index = seg_reader.inverted_index(text).unwrap();
|
||||
let term = Term::from_field_text(text, "hello");
|
||||
let mut postings = inv_index
|
||||
.read_postings(&term, IndexRecordOption::WithFreqsAndPositions)
|
||||
.unwrap()
|
||||
.unwrap();
|
||||
assert_eq!(postings.doc(), 0u32);
|
||||
let mut positions = Vec::new();
|
||||
postings.positions(&mut positions);
|
||||
assert_eq!(positions, &[4]); //< as opposed to 3 if we had a position length of 1.
|
||||
}
|
||||
}
|
||||
|
||||
@@ -12,7 +12,7 @@ pub(crate) struct RemappedDocIdColumn<'a> {
|
||||
fast_field_readers: Vec<Arc<dyn Column<u64>>>,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
}
|
||||
|
||||
fn compute_min_max_val(
|
||||
@@ -32,7 +32,7 @@ fn compute_min_max_val(
|
||||
// we need to recompute the max / min
|
||||
segment_reader
|
||||
.doc_ids_alive()
|
||||
.map(|doc_id| u64_reader.get_val(doc_id as u64))
|
||||
.map(|doc_id| u64_reader.get_val(doc_id))
|
||||
.minmax()
|
||||
.into_option()
|
||||
}
|
||||
@@ -73,13 +73,13 @@ impl<'a> RemappedDocIdColumn<'a> {
|
||||
fast_field_readers,
|
||||
min_value,
|
||||
max_value,
|
||||
num_vals: doc_id_mapping.len() as u64,
|
||||
num_vals: doc_id_mapping.len() as u32,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Column for RemappedDocIdColumn<'a> {
|
||||
fn get_val(&self, _doc: u64) -> u64 {
|
||||
fn get_val(&self, _doc: u32) -> u64 {
|
||||
unimplemented!()
|
||||
}
|
||||
|
||||
@@ -90,7 +90,7 @@ impl<'a> Column for RemappedDocIdColumn<'a> {
|
||||
.map(|old_doc_addr| {
|
||||
let fast_field_reader =
|
||||
&self.fast_field_readers[old_doc_addr.segment_ord as usize];
|
||||
fast_field_reader.get_val(old_doc_addr.doc_id as u64)
|
||||
fast_field_reader.get_val(old_doc_addr.doc_id)
|
||||
}),
|
||||
)
|
||||
}
|
||||
@@ -102,7 +102,7 @@ impl<'a> Column for RemappedDocIdColumn<'a> {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
@@ -3,7 +3,7 @@ use std::cmp;
|
||||
use fastfield_codecs::Column;
|
||||
|
||||
use super::flat_map_with_buffer::FlatMapWithBufferIter;
|
||||
use crate::fastfield::{MultiValueLength, MultiValuedFastFieldReader};
|
||||
use crate::fastfield::{MultiValueIndex, MultiValuedFastFieldReader};
|
||||
use crate::indexer::doc_id_mapping::SegmentDocIdMapping;
|
||||
use crate::schema::Field;
|
||||
use crate::{DocAddress, SegmentReader};
|
||||
@@ -13,7 +13,7 @@ pub(crate) struct RemappedDocIdMultiValueColumn<'a> {
|
||||
fast_field_readers: Vec<MultiValuedFastFieldReader<u64>>,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
}
|
||||
|
||||
impl<'a> RemappedDocIdMultiValueColumn<'a> {
|
||||
@@ -61,13 +61,13 @@ impl<'a> RemappedDocIdMultiValueColumn<'a> {
|
||||
fast_field_readers,
|
||||
min_value,
|
||||
max_value,
|
||||
num_vals: num_vals as u64,
|
||||
num_vals: num_vals as u32,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> Column for RemappedDocIdMultiValueColumn<'a> {
|
||||
fn get_val(&self, _pos: u64) -> u64 {
|
||||
fn get_val(&self, _pos: u32) -> u64 {
|
||||
unimplemented!()
|
||||
}
|
||||
|
||||
@@ -89,22 +89,22 @@ impl<'a> Column for RemappedDocIdMultiValueColumn<'a> {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) struct RemappedDocIdMultiValueIndexColumn<'a, T: MultiValueLength> {
|
||||
pub(crate) struct RemappedDocIdMultiValueIndexColumn<'a> {
|
||||
doc_id_mapping: &'a SegmentDocIdMapping,
|
||||
multi_value_length_readers: Vec<&'a T>,
|
||||
multi_value_length_readers: Vec<&'a MultiValueIndex>,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
num_vals: u64,
|
||||
num_vals: u32,
|
||||
}
|
||||
|
||||
impl<'a, T: MultiValueLength> RemappedDocIdMultiValueIndexColumn<'a, T> {
|
||||
impl<'a> RemappedDocIdMultiValueIndexColumn<'a> {
|
||||
pub(crate) fn new(
|
||||
segment_and_ff_readers: &'a [(&'a SegmentReader, T)],
|
||||
segment_and_ff_readers: &'a [(&'a SegmentReader, &'a MultiValueIndex)],
|
||||
doc_id_mapping: &'a SegmentDocIdMapping,
|
||||
) -> Self {
|
||||
// We go through a complete first pass to compute the minimum and the
|
||||
@@ -115,17 +115,19 @@ impl<'a, T: MultiValueLength> RemappedDocIdMultiValueIndexColumn<'a, T> {
|
||||
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;
|
||||
let multi_value_length_reader = segment_and_ff_reader.1;
|
||||
if !segment_reader.has_deletes() {
|
||||
max_value += multi_value_length_reader.get_total_len();
|
||||
max_value += multi_value_length_reader.total_num_vals() as u64;
|
||||
} else {
|
||||
for doc in segment_reader.doc_ids_alive() {
|
||||
max_value += multi_value_length_reader.get_len(doc);
|
||||
max_value += multi_value_length_reader.num_vals_for_doc(doc) as u64;
|
||||
}
|
||||
}
|
||||
num_vals += segment_reader.num_docs() as u64;
|
||||
num_vals += segment_reader.num_docs();
|
||||
multi_value_length_readers.push(multi_value_length_reader);
|
||||
}
|
||||
// The value range is always get_val(doc)..get_val(doc + 1)
|
||||
num_vals += 1;
|
||||
Self {
|
||||
doc_id_mapping,
|
||||
multi_value_length_readers,
|
||||
@@ -136,8 +138,8 @@ impl<'a, T: MultiValueLength> RemappedDocIdMultiValueIndexColumn<'a, T> {
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, T: MultiValueLength + Send + Sync> Column for RemappedDocIdMultiValueIndexColumn<'a, T> {
|
||||
fn get_val(&self, _pos: u64) -> u64 {
|
||||
impl<'a> Column for RemappedDocIdMultiValueIndexColumn<'a> {
|
||||
fn get_val(&self, _pos: u32) -> u64 {
|
||||
unimplemented!()
|
||||
}
|
||||
|
||||
@@ -148,8 +150,8 @@ impl<'a, T: MultiValueLength + Send + Sync> Column for RemappedDocIdMultiValueIn
|
||||
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
|
||||
offset += ff_reader.num_vals_for_doc(old_doc_addr.doc_id);
|
||||
offset as u64
|
||||
},
|
||||
)),
|
||||
)
|
||||
@@ -162,7 +164,7 @@ impl<'a, T: MultiValueLength + Send + Sync> Column for RemappedDocIdMultiValueIn
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
fn num_vals(&self) -> u32 {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
@@ -277,6 +277,8 @@ pub mod fastfield;
|
||||
pub mod fieldnorm;
|
||||
pub mod positions;
|
||||
pub mod postings;
|
||||
|
||||
/// Module containing the different query implementations.
|
||||
pub mod query;
|
||||
pub mod schema;
|
||||
pub mod space_usage;
|
||||
@@ -311,7 +313,7 @@ pub use crate::postings::Postings;
|
||||
pub use crate::schema::{DateOptions, DatePrecision, Document, Term};
|
||||
|
||||
/// Index format version.
|
||||
const INDEX_FORMAT_VERSION: u32 = 4;
|
||||
const INDEX_FORMAT_VERSION: u32 = 5;
|
||||
|
||||
/// Structure version for the index.
|
||||
#[derive(Clone, PartialEq, Eq, Serialize, Deserialize)]
|
||||
@@ -819,7 +821,7 @@ pub mod tests {
|
||||
fn test_indexedfield_not_in_documents() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let absent_field = schema_builder.add_text_field("text", TEXT);
|
||||
let absent_field = schema_builder.add_text_field("absent_text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
@@ -1001,7 +1003,7 @@ pub mod tests {
|
||||
let fast_field_signed = schema_builder.add_i64_field("signed", FAST);
|
||||
let fast_field_float = schema_builder.add_f64_field("float", FAST);
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let stored_int_field = schema_builder.add_u64_field("text", STORED);
|
||||
let stored_int_field = schema_builder.add_u64_field("stored_int", STORED);
|
||||
let schema = schema_builder.build();
|
||||
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
@@ -3,7 +3,7 @@ use std::io;
|
||||
use std::marker::PhantomData;
|
||||
use std::ops::Range;
|
||||
|
||||
use fnv::FnvHashMap;
|
||||
use rustc_hash::FxHashMap;
|
||||
|
||||
use super::stacker::Addr;
|
||||
use crate::fastfield::MultiValuedFastFieldWriter;
|
||||
@@ -56,12 +56,12 @@ pub(crate) fn serialize_postings(
|
||||
doc_id_map: Option<&DocIdMapping>,
|
||||
schema: &Schema,
|
||||
serializer: &mut InvertedIndexSerializer,
|
||||
) -> crate::Result<HashMap<Field, FnvHashMap<UnorderedTermId, TermOrdinal>>> {
|
||||
) -> crate::Result<HashMap<Field, FxHashMap<UnorderedTermId, TermOrdinal>>> {
|
||||
let mut term_offsets: Vec<(Term<&[u8]>, Addr, UnorderedTermId)> =
|
||||
Vec::with_capacity(ctx.term_index.len());
|
||||
term_offsets.extend(ctx.term_index.iter());
|
||||
term_offsets.sort_unstable_by_key(|(k, _, _)| k.clone());
|
||||
let mut unordered_term_mappings: HashMap<Field, FnvHashMap<UnorderedTermId, TermOrdinal>> =
|
||||
let mut unordered_term_mappings: HashMap<Field, FxHashMap<UnorderedTermId, TermOrdinal>> =
|
||||
HashMap::new();
|
||||
|
||||
let field_offsets = make_field_partition(&term_offsets);
|
||||
@@ -74,7 +74,7 @@ pub(crate) fn serialize_postings(
|
||||
let unordered_term_ids = term_offsets[byte_offsets.clone()]
|
||||
.iter()
|
||||
.map(|&(_, _, bucket)| bucket);
|
||||
let mapping: FnvHashMap<UnorderedTermId, TermOrdinal> = unordered_term_ids
|
||||
let mapping: FxHashMap<UnorderedTermId, TermOrdinal> = unordered_term_ids
|
||||
.enumerate()
|
||||
.map(|(term_ord, unord_term_id)| {
|
||||
(unord_term_id as UnorderedTermId, term_ord as TermOrdinal)
|
||||
@@ -155,7 +155,7 @@ pub(crate) trait PostingsWriter: Send + Sync {
|
||||
) {
|
||||
let end_of_path_idx = term_buffer.len_bytes();
|
||||
let mut num_tokens = 0;
|
||||
let mut end_position = 0;
|
||||
let mut end_position = indexing_position.end_position;
|
||||
token_stream.process(&mut |token: &Token| {
|
||||
// We skip all tokens with a len greater than u16.
|
||||
if token.text.len() > MAX_TOKEN_LEN {
|
||||
@@ -170,7 +170,7 @@ pub(crate) trait PostingsWriter: Send + Sync {
|
||||
term_buffer.truncate_value_bytes(end_of_path_idx);
|
||||
term_buffer.append_bytes(token.text.as_bytes());
|
||||
let start_position = indexing_position.end_position + token.position as u32;
|
||||
end_position = start_position + token.position_length as u32;
|
||||
end_position = end_position.max(start_position + token.position_length as u32);
|
||||
let unordered_term_id = self.subscribe(doc_id, start_position, term_buffer, ctx);
|
||||
if let Some(term_id_fast_field_writer) = term_id_fast_field_writer_opt.as_mut() {
|
||||
term_id_fast_field_writer.add_val(unordered_term_id);
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
use crate::core::{Searcher, SegmentReader};
|
||||
use crate::core::SegmentReader;
|
||||
use crate::docset::{DocSet, TERMINATED};
|
||||
use crate::query::boost_query::BoostScorer;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::{Explanation, Query, Scorer, Weight};
|
||||
use crate::query::{EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, Score};
|
||||
|
||||
/// Query that matches all of the documents.
|
||||
@@ -12,7 +12,7 @@ use crate::{DocId, Score};
|
||||
pub struct AllQuery;
|
||||
|
||||
impl Query for AllQuery {
|
||||
fn weight(&self, _: &Searcher, _: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
fn weight(&self, _: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(AllWeight))
|
||||
}
|
||||
}
|
||||
@@ -72,7 +72,7 @@ impl Scorer for AllScorer {
|
||||
mod tests {
|
||||
use super::AllQuery;
|
||||
use crate::docset::TERMINATED;
|
||||
use crate::query::Query;
|
||||
use crate::query::{EnableScoring, Query};
|
||||
use crate::schema::{Schema, TEXT};
|
||||
use crate::Index;
|
||||
|
||||
@@ -95,7 +95,7 @@ mod tests {
|
||||
let index = create_test_index()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let weight = AllQuery.weight(&searcher, false)?;
|
||||
let weight = AllQuery.weight(EnableScoring::Disabled(&index.schema()))?;
|
||||
{
|
||||
let reader = searcher.segment_reader(0);
|
||||
let mut scorer = weight.scorer(reader, 1.0)?;
|
||||
@@ -118,7 +118,7 @@ mod tests {
|
||||
let index = create_test_index()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let weight = AllQuery.weight(&searcher, false)?;
|
||||
let weight = AllQuery.weight(EnableScoring::Disabled(searcher.schema()))?;
|
||||
let reader = searcher.segment_reader(0);
|
||||
{
|
||||
let mut scorer = weight.scorer(reader, 2.0)?;
|
||||
|
||||
@@ -33,7 +33,7 @@ where
|
||||
&'a self,
|
||||
term_dict: &'a TermDictionary,
|
||||
) -> io::Result<TermStreamer<'a, &'a A>> {
|
||||
let automaton: &A = &*self.automaton;
|
||||
let automaton: &A = &self.automaton;
|
||||
let term_stream_builder = term_dict.search(automaton);
|
||||
term_stream_builder.into_stream()
|
||||
}
|
||||
|
||||
@@ -86,10 +86,7 @@ impl DocSet for BitSetDocSet {
|
||||
self.doc
|
||||
}
|
||||
|
||||
/// Returns half of the `max_doc`
|
||||
/// This is quite a terrible heuristic,
|
||||
/// but we don't have access to any better
|
||||
/// value.
|
||||
/// Returns the number of values set in the underlying bitset.
|
||||
fn size_hint(&self) -> u32 {
|
||||
self.docs.len() as u32
|
||||
}
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
use super::boolean_weight::BooleanWeight;
|
||||
use crate::query::{Occur, Query, SumWithCoordsCombiner, TermQuery, Weight};
|
||||
use crate::query::{EnableScoring, Occur, Query, SumWithCoordsCombiner, TermQuery, Weight};
|
||||
use crate::schema::{IndexRecordOption, Term};
|
||||
use crate::Searcher;
|
||||
|
||||
/// The boolean query returns a set of documents
|
||||
/// that matches the Boolean combination of constituent subqueries.
|
||||
@@ -143,17 +142,15 @@ impl From<Vec<(Occur, Box<dyn Query>)>> for BooleanQuery {
|
||||
}
|
||||
|
||||
impl Query for BooleanQuery {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let sub_weights = self
|
||||
.subqueries
|
||||
.iter()
|
||||
.map(|&(ref occur, ref subquery)| {
|
||||
Ok((*occur, subquery.weight(searcher, scoring_enabled)?))
|
||||
})
|
||||
.map(|&(ref occur, ref subquery)| Ok((*occur, subquery.weight(enable_scoring)?)))
|
||||
.collect::<crate::Result<_>>()?;
|
||||
Ok(Box::new(BooleanWeight::new(
|
||||
sub_weights,
|
||||
scoring_enabled,
|
||||
enable_scoring.is_scoring_enabled(),
|
||||
Box::new(SumWithCoordsCombiner::default),
|
||||
)))
|
||||
}
|
||||
|
||||
@@ -5,7 +5,7 @@ use crate::postings::FreqReadingOption;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::score_combiner::{DoNothingCombiner, ScoreCombiner};
|
||||
use crate::query::term_query::TermScorer;
|
||||
use crate::query::weight::{for_each_pruning_scorer, for_each_scorer};
|
||||
use crate::query::weight::{for_each_docset, for_each_pruning_scorer, for_each_scorer};
|
||||
use crate::query::{
|
||||
intersect_scorers, EmptyScorer, Exclude, Explanation, Occur, RequiredOptionalScorer, Scorer,
|
||||
Union, Weight,
|
||||
@@ -219,6 +219,24 @@ impl<TScoreCombiner: ScoreCombiner + Sync> Weight for BooleanWeight<TScoreCombin
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn for_each_no_score(
|
||||
&self,
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId),
|
||||
) -> crate::Result<()> {
|
||||
let scorer = self.complex_scorer(reader, 1.0, || DoNothingCombiner)?;
|
||||
match scorer {
|
||||
SpecializedScorer::TermUnion(term_scorers) => {
|
||||
let mut union_scorer = Union::build(term_scorers, &self.score_combiner_fn);
|
||||
for_each_docset(&mut union_scorer, callback);
|
||||
}
|
||||
SpecializedScorer::Other(mut scorer) => {
|
||||
for_each_docset(scorer.as_mut(), callback);
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Calls `callback` with all of the `(doc, score)` for which score
|
||||
/// is exceeding a given threshold.
|
||||
///
|
||||
|
||||
@@ -15,7 +15,8 @@ mod tests {
|
||||
use crate::query::score_combiner::SumWithCoordsCombiner;
|
||||
use crate::query::term_query::TermScorer;
|
||||
use crate::query::{
|
||||
Intersection, Occur, Query, QueryParser, RequiredOptionalScorer, Scorer, TermQuery,
|
||||
EnableScoring, Intersection, Occur, Query, QueryParser, RequiredOptionalScorer, Scorer,
|
||||
TermQuery,
|
||||
};
|
||||
use crate::schema::*;
|
||||
use crate::{assert_nearly_equals, DocAddress, DocId, Index, Score};
|
||||
@@ -54,7 +55,7 @@ mod tests {
|
||||
let query_parser = QueryParser::for_index(&index, vec![text_field]);
|
||||
let query = query_parser.parse_query("+a")?;
|
||||
let searcher = index.reader()?.searcher();
|
||||
let weight = query.weight(&searcher, true)?;
|
||||
let weight = query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert!(scorer.is::<TermScorer>());
|
||||
Ok(())
|
||||
@@ -67,13 +68,13 @@ mod tests {
|
||||
let searcher = index.reader()?.searcher();
|
||||
{
|
||||
let query = query_parser.parse_query("+a +b +c")?;
|
||||
let weight = query.weight(&searcher, true)?;
|
||||
let weight = query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert!(scorer.is::<Intersection<TermScorer>>());
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("+a +(b c)")?;
|
||||
let weight = query.weight(&searcher, true)?;
|
||||
let weight = query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert!(scorer.is::<Intersection<Box<dyn Scorer>>>());
|
||||
}
|
||||
@@ -87,7 +88,7 @@ mod tests {
|
||||
let searcher = index.reader()?.searcher();
|
||||
{
|
||||
let query = query_parser.parse_query("+a b")?;
|
||||
let weight = query.weight(&searcher, true)?;
|
||||
let weight = query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert!(scorer.is::<RequiredOptionalScorer<
|
||||
Box<dyn Scorer>,
|
||||
@@ -97,7 +98,7 @@ mod tests {
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("+a b")?;
|
||||
let weight = query.weight(&searcher, false)?;
|
||||
let weight = query.weight(EnableScoring::Disabled(searcher.schema()))?;
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert!(scorer.is::<TermScorer>());
|
||||
}
|
||||
@@ -241,7 +242,9 @@ mod tests {
|
||||
let searcher = reader.searcher();
|
||||
let boolean_query =
|
||||
BooleanQuery::new(vec![(Occur::Should, term_a), (Occur::Should, term_b)]);
|
||||
let boolean_weight = boolean_query.weight(&searcher, true).unwrap();
|
||||
let boolean_weight = boolean_query
|
||||
.weight(EnableScoring::Enabled(&searcher))
|
||||
.unwrap();
|
||||
{
|
||||
let mut boolean_scorer = boolean_weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert_eq!(boolean_scorer.doc(), 0u32);
|
||||
|
||||
@@ -2,8 +2,8 @@ use std::fmt;
|
||||
|
||||
use crate::fastfield::AliveBitSet;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::{Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, Searcher, SegmentReader, Term};
|
||||
use crate::query::{EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, SegmentReader, Term};
|
||||
|
||||
/// `BoostQuery` is a wrapper over a query used to boost its score.
|
||||
///
|
||||
@@ -38,9 +38,9 @@ impl fmt::Debug for BoostQuery {
|
||||
}
|
||||
|
||||
impl Query for BoostQuery {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
let weight_without_boost = self.query.weight(searcher, scoring_enabled)?;
|
||||
let boosted_weight = if scoring_enabled {
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let weight_without_boost = self.query.weight(enable_scoring)?;
|
||||
let boosted_weight = if enable_scoring.is_scoring_enabled() {
|
||||
Box::new(BoostWeight::new(weight_without_boost, self.boost))
|
||||
} else {
|
||||
weight_without_boost
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use std::fmt;
|
||||
|
||||
use crate::query::{Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, Searcher, SegmentReader, TantivyError, Term};
|
||||
use crate::query::{EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::{DocId, DocSet, Score, SegmentReader, TantivyError, Term};
|
||||
|
||||
/// `ConstScoreQuery` is a wrapper over a query to provide a constant score.
|
||||
/// It can avoid unnecessary score computation on the wrapped query.
|
||||
@@ -36,9 +36,9 @@ impl fmt::Debug for ConstScoreQuery {
|
||||
}
|
||||
|
||||
impl Query for ConstScoreQuery {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
let inner_weight = self.query.weight(searcher, scoring_enabled)?;
|
||||
Ok(if scoring_enabled {
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let inner_weight = self.query.weight(enable_scoring)?;
|
||||
Ok(if enable_scoring.is_scoring_enabled() {
|
||||
Box::new(ConstWeight::new(inner_weight, self.score))
|
||||
} else {
|
||||
inner_weight
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use tantivy_query_grammar::Occur;
|
||||
|
||||
use crate::query::{BooleanWeight, DisjunctionMaxCombiner, Query, Weight};
|
||||
use crate::{Score, Searcher, Term};
|
||||
use crate::query::{BooleanWeight, DisjunctionMaxCombiner, EnableScoring, Query, Weight};
|
||||
use crate::{Score, Term};
|
||||
|
||||
/// The disjunction max query кeturns documents matching one or more wrapped queries,
|
||||
/// called query clauses or clauses.
|
||||
@@ -91,16 +91,16 @@ impl Clone for DisjunctionMaxQuery {
|
||||
}
|
||||
|
||||
impl Query for DisjunctionMaxQuery {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let disjuncts = self
|
||||
.disjuncts
|
||||
.iter()
|
||||
.map(|disjunct| Ok((Occur::Should, disjunct.weight(searcher, scoring_enabled)?)))
|
||||
.map(|disjunct| Ok((Occur::Should, disjunct.weight(enable_scoring)?)))
|
||||
.collect::<crate::Result<_>>()?;
|
||||
let tie_breaker = self.tie_breaker;
|
||||
Ok(Box::new(BooleanWeight::new(
|
||||
disjuncts,
|
||||
scoring_enabled,
|
||||
enable_scoring.is_scoring_enabled(),
|
||||
Box::new(move || DisjunctionMaxCombiner::with_tie_breaker(tie_breaker)),
|
||||
)))
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use super::Scorer;
|
||||
use crate::docset::TERMINATED;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::{Explanation, Query, Weight};
|
||||
use crate::query::{EnableScoring, Explanation, Query, Weight};
|
||||
use crate::{DocId, DocSet, Score, Searcher, SegmentReader};
|
||||
|
||||
/// `EmptyQuery` is a dummy `Query` in which no document matches.
|
||||
@@ -11,11 +11,7 @@ use crate::{DocId, DocSet, Score, Searcher, SegmentReader};
|
||||
pub struct EmptyQuery;
|
||||
|
||||
impl Query for EmptyQuery {
|
||||
fn weight(
|
||||
&self,
|
||||
_searcher: &Searcher,
|
||||
_scoring_enabled: bool,
|
||||
) -> crate::Result<Box<dyn Weight>> {
|
||||
fn weight(&self, _enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(EmptyWeight))
|
||||
}
|
||||
|
||||
|
||||
@@ -5,9 +5,8 @@ use levenshtein_automata::{Distance, LevenshteinAutomatonBuilder, DFA};
|
||||
use once_cell::sync::Lazy;
|
||||
use tantivy_fst::Automaton;
|
||||
|
||||
use crate::query::{AutomatonWeight, Query, Weight};
|
||||
use crate::query::{AutomatonWeight, EnableScoring, Query, Weight};
|
||||
use crate::schema::Term;
|
||||
use crate::Searcher;
|
||||
use crate::TantivyError::InvalidArgument;
|
||||
|
||||
pub(crate) struct DfaWrapper(pub DFA);
|
||||
@@ -158,11 +157,7 @@ impl FuzzyTermQuery {
|
||||
}
|
||||
|
||||
impl Query for FuzzyTermQuery {
|
||||
fn weight(
|
||||
&self,
|
||||
_searcher: &Searcher,
|
||||
_scoring_enabled: bool,
|
||||
) -> crate::Result<Box<dyn Weight>> {
|
||||
fn weight(&self, _enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(self.specialized_weight()?))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
//! Query Module
|
||||
|
||||
mod all_query;
|
||||
mod automaton_weight;
|
||||
mod bitset;
|
||||
@@ -18,6 +16,7 @@ mod phrase_query;
|
||||
mod query;
|
||||
mod query_parser;
|
||||
mod range_query;
|
||||
mod range_query_ip_fastfield;
|
||||
mod regex_query;
|
||||
mod reqopt_scorer;
|
||||
mod scorer;
|
||||
@@ -50,7 +49,7 @@ pub use self::fuzzy_query::FuzzyTermQuery;
|
||||
pub use self::intersection::{intersect_scorers, Intersection};
|
||||
pub use self::more_like_this::{MoreLikeThisQuery, MoreLikeThisQueryBuilder};
|
||||
pub use self::phrase_query::PhraseQuery;
|
||||
pub use self::query::{Query, QueryClone};
|
||||
pub use self::query::{EnableScoring, Query, QueryClone};
|
||||
pub use self::query_parser::{QueryParser, QueryParserError};
|
||||
pub use self::range_query::RangeQuery;
|
||||
pub use self::regex_query::RegexQuery;
|
||||
|
||||
@@ -1,4 +1,6 @@
|
||||
mod more_like_this;
|
||||
|
||||
/// Module containing the different query implementations.
|
||||
mod query;
|
||||
|
||||
pub use self::more_like_this::MoreLikeThis;
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use super::MoreLikeThis;
|
||||
use crate::query::{Query, Weight};
|
||||
use crate::query::{EnableScoring, Query, Weight};
|
||||
use crate::schema::{Field, Value};
|
||||
use crate::{DocAddress, Result, Searcher};
|
||||
use crate::DocAddress;
|
||||
|
||||
/// A query that matches all of the documents similar to a document
|
||||
/// or a set of field values provided.
|
||||
@@ -42,16 +42,23 @@ impl MoreLikeThisQuery {
|
||||
}
|
||||
|
||||
impl Query for MoreLikeThisQuery {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> Result<Box<dyn Weight>> {
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let searcher = match enable_scoring {
|
||||
EnableScoring::Enabled(searcher) => searcher,
|
||||
EnableScoring::Disabled(_) => {
|
||||
let err = "MoreLikeThisQuery requires to enable scoring.".to_string();
|
||||
return Err(crate::TantivyError::InvalidArgument(err));
|
||||
}
|
||||
};
|
||||
match &self.target {
|
||||
TargetDocument::DocumentAdress(doc_address) => self
|
||||
.mlt
|
||||
.query_with_document(searcher, *doc_address)?
|
||||
.weight(searcher, scoring_enabled),
|
||||
.weight(enable_scoring),
|
||||
TargetDocument::DocumentFields(doc_fields) => self
|
||||
.mlt
|
||||
.query_with_document_fields(searcher, doc_fields)?
|
||||
.weight(searcher, scoring_enabled),
|
||||
.weight(enable_scoring),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -14,7 +14,7 @@ pub mod tests {
|
||||
use super::*;
|
||||
use crate::collector::tests::{TEST_COLLECTOR_WITHOUT_SCORE, TEST_COLLECTOR_WITH_SCORE};
|
||||
use crate::core::Index;
|
||||
use crate::query::{QueryParser, Weight};
|
||||
use crate::query::{EnableScoring, QueryParser, Weight};
|
||||
use crate::schema::{Schema, Term, TEXT};
|
||||
use crate::{assert_nearly_equals, DocAddress, DocId, TERMINATED};
|
||||
|
||||
@@ -79,7 +79,8 @@ pub mod tests {
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new(terms);
|
||||
let phrase_weight = phrase_query.phrase_weight(&searcher, false)?;
|
||||
let phrase_weight =
|
||||
phrase_query.phrase_weight(EnableScoring::Disabled(searcher.schema()))?;
|
||||
let mut phrase_scorer = phrase_weight.scorer(searcher.segment_reader(0), 1.0)?;
|
||||
assert_eq!(phrase_scorer.doc(), 1);
|
||||
assert_eq!(phrase_scorer.advance(), TERMINATED);
|
||||
@@ -359,7 +360,9 @@ pub mod tests {
|
||||
let matching_docs = |query: &str| {
|
||||
let query_parser = QueryParser::for_index(&index, vec![json_field]);
|
||||
let phrase_query = query_parser.parse_query(query).unwrap();
|
||||
let phrase_weight = phrase_query.weight(&searcher, false).unwrap();
|
||||
let phrase_weight = phrase_query
|
||||
.weight(EnableScoring::Disabled(searcher.schema()))
|
||||
.unwrap();
|
||||
let mut phrase_scorer = phrase_weight
|
||||
.scorer(searcher.segment_reader(0), 1.0f32)
|
||||
.unwrap();
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
use super::PhraseWeight;
|
||||
use crate::core::searcher::Searcher;
|
||||
use crate::query::bm25::Bm25Weight;
|
||||
use crate::query::{Query, Weight};
|
||||
use crate::query::{EnableScoring, Query, Weight};
|
||||
use crate::schema::{Field, IndexRecordOption, Term};
|
||||
|
||||
/// `PhraseQuery` matches a specific sequence of words.
|
||||
@@ -67,7 +66,7 @@ impl PhraseQuery {
|
||||
/// Slop allowed for the phrase.
|
||||
///
|
||||
/// The query will match if its terms are separated by `slop` terms at most.
|
||||
/// By default the slop is 0 meaning query terms need to be adjacent.
|
||||
/// By default the slop is 0 meaning query terms need to be adjacent.
|
||||
pub fn set_slop(&mut self, value: u32) {
|
||||
self.slop = value;
|
||||
}
|
||||
@@ -91,10 +90,9 @@ impl PhraseQuery {
|
||||
/// a specialized type [`PhraseWeight`] instead of a Boxed trait.
|
||||
pub(crate) fn phrase_weight(
|
||||
&self,
|
||||
searcher: &Searcher,
|
||||
scoring_enabled: bool,
|
||||
enable_scoring: EnableScoring<'_>,
|
||||
) -> crate::Result<PhraseWeight> {
|
||||
let schema = searcher.schema();
|
||||
let schema = enable_scoring.schema();
|
||||
let field_entry = schema.get_field_entry(self.field);
|
||||
let has_positions = field_entry
|
||||
.field_type()
|
||||
@@ -109,8 +107,11 @@ impl PhraseQuery {
|
||||
)));
|
||||
}
|
||||
let terms = self.phrase_terms();
|
||||
let bm25_weight = Bm25Weight::for_terms(searcher, &terms)?;
|
||||
let mut weight = PhraseWeight::new(self.phrase_terms.clone(), bm25_weight, scoring_enabled);
|
||||
let bm25_weight_opt = match enable_scoring {
|
||||
EnableScoring::Enabled(searcher) => Some(Bm25Weight::for_terms(searcher, &terms)?),
|
||||
EnableScoring::Disabled(_) => None,
|
||||
};
|
||||
let mut weight = PhraseWeight::new(self.phrase_terms.clone(), bm25_weight_opt);
|
||||
if self.slop > 0 {
|
||||
weight.slop(self.slop);
|
||||
}
|
||||
@@ -122,8 +123,8 @@ impl Query for PhraseQuery {
|
||||
/// Create the weight associated with a query.
|
||||
///
|
||||
/// See [`Weight`].
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
let phrase_weight = self.phrase_weight(searcher, scoring_enabled)?;
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let phrase_weight = self.phrase_weight(enable_scoring)?;
|
||||
Ok(Box::new(phrase_weight))
|
||||
}
|
||||
|
||||
|
||||
@@ -50,8 +50,7 @@ pub struct PhraseScorer<TPostings: Postings> {
|
||||
right: Vec<u32>,
|
||||
phrase_count: u32,
|
||||
fieldnorm_reader: FieldNormReader,
|
||||
similarity_weight: Bm25Weight,
|
||||
scoring_enabled: bool,
|
||||
similarity_weight_opt: Option<Bm25Weight>,
|
||||
slop: u32,
|
||||
}
|
||||
|
||||
@@ -245,11 +244,11 @@ fn intersection_exists_with_slop(left: &[u32], right: &[u32], slop: u32) -> bool
|
||||
}
|
||||
|
||||
impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
// If similarity_weight is None, then scoring is disabled.
|
||||
pub fn new(
|
||||
term_postings: Vec<(usize, TPostings)>,
|
||||
similarity_weight: Bm25Weight,
|
||||
similarity_weight_opt: Option<Bm25Weight>,
|
||||
fieldnorm_reader: FieldNormReader,
|
||||
scoring_enabled: bool,
|
||||
slop: u32,
|
||||
) -> PhraseScorer<TPostings> {
|
||||
let max_offset = term_postings
|
||||
@@ -270,9 +269,8 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
left: Vec::with_capacity(100),
|
||||
right: Vec::with_capacity(100),
|
||||
phrase_count: 0u32,
|
||||
similarity_weight,
|
||||
similarity_weight_opt,
|
||||
fieldnorm_reader,
|
||||
scoring_enabled,
|
||||
slop,
|
||||
};
|
||||
if scorer.doc() != TERMINATED && !scorer.phrase_match() {
|
||||
@@ -286,7 +284,7 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
}
|
||||
|
||||
fn phrase_match(&mut self) -> bool {
|
||||
if self.scoring_enabled {
|
||||
if self.similarity_weight_opt.is_some() {
|
||||
let count = self.compute_phrase_count();
|
||||
self.phrase_count = count;
|
||||
count > 0u32
|
||||
@@ -388,8 +386,11 @@ impl<TPostings: Postings> Scorer for PhraseScorer<TPostings> {
|
||||
fn score(&mut self) -> Score {
|
||||
let doc = self.doc();
|
||||
let fieldnorm_id = self.fieldnorm_reader.fieldnorm_id(doc);
|
||||
self.similarity_weight
|
||||
.score(fieldnorm_id, self.phrase_count)
|
||||
if let Some(similarity_weight) = self.similarity_weight_opt.as_ref() {
|
||||
similarity_weight.score(fieldnorm_id, self.phrase_count)
|
||||
} else {
|
||||
1.0f32
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -10,30 +10,28 @@ use crate::{DocId, DocSet, Score};
|
||||
|
||||
pub struct PhraseWeight {
|
||||
phrase_terms: Vec<(usize, Term)>,
|
||||
similarity_weight: Bm25Weight,
|
||||
scoring_enabled: bool,
|
||||
similarity_weight_opt: Option<Bm25Weight>,
|
||||
slop: u32,
|
||||
}
|
||||
|
||||
impl PhraseWeight {
|
||||
/// Creates a new phrase weight.
|
||||
/// If `similarity_weight_opt` is None, then scoring is disabled
|
||||
pub fn new(
|
||||
phrase_terms: Vec<(usize, Term)>,
|
||||
similarity_weight: Bm25Weight,
|
||||
scoring_enabled: bool,
|
||||
similarity_weight_opt: Option<Bm25Weight>,
|
||||
) -> PhraseWeight {
|
||||
let slop = 0;
|
||||
PhraseWeight {
|
||||
phrase_terms,
|
||||
similarity_weight,
|
||||
scoring_enabled,
|
||||
similarity_weight_opt,
|
||||
slop,
|
||||
}
|
||||
}
|
||||
|
||||
fn fieldnorm_reader(&self, reader: &SegmentReader) -> crate::Result<FieldNormReader> {
|
||||
let field = self.phrase_terms[0].1.field();
|
||||
if self.scoring_enabled {
|
||||
if self.similarity_weight_opt.is_some() {
|
||||
if let Some(fieldnorm_reader) = reader.fieldnorms_readers().get_field(field)? {
|
||||
return Ok(fieldnorm_reader);
|
||||
}
|
||||
@@ -46,7 +44,10 @@ impl PhraseWeight {
|
||||
reader: &SegmentReader,
|
||||
boost: Score,
|
||||
) -> crate::Result<Option<PhraseScorer<SegmentPostings>>> {
|
||||
let similarity_weight = self.similarity_weight.boost_by(boost);
|
||||
let similarity_weight_opt = self
|
||||
.similarity_weight_opt
|
||||
.as_ref()
|
||||
.map(|similarity_weight| similarity_weight.boost_by(boost));
|
||||
let fieldnorm_reader = self.fieldnorm_reader(reader)?;
|
||||
let mut term_postings_list = Vec::new();
|
||||
if reader.has_deletes() {
|
||||
@@ -74,9 +75,8 @@ impl PhraseWeight {
|
||||
}
|
||||
Ok(Some(PhraseScorer::new(
|
||||
term_postings_list,
|
||||
similarity_weight,
|
||||
similarity_weight_opt,
|
||||
fieldnorm_reader,
|
||||
self.scoring_enabled,
|
||||
self.slop,
|
||||
)))
|
||||
}
|
||||
@@ -108,7 +108,9 @@ impl Weight for PhraseWeight {
|
||||
let fieldnorm_id = fieldnorm_reader.fieldnorm_id(doc);
|
||||
let phrase_count = scorer.phrase_count();
|
||||
let mut explanation = Explanation::new("Phrase Scorer", scorer.score());
|
||||
explanation.add_detail(self.similarity_weight.explain(fieldnorm_id, phrase_count));
|
||||
if let Some(similarity_weight) = self.similarity_weight_opt.as_ref() {
|
||||
explanation.add_detail(similarity_weight.explain(fieldnorm_id, phrase_count));
|
||||
}
|
||||
Ok(explanation)
|
||||
}
|
||||
}
|
||||
@@ -117,7 +119,7 @@ impl Weight for PhraseWeight {
|
||||
mod tests {
|
||||
use super::super::tests::create_index;
|
||||
use crate::docset::TERMINATED;
|
||||
use crate::query::PhraseQuery;
|
||||
use crate::query::{EnableScoring, PhraseQuery};
|
||||
use crate::{DocSet, Term};
|
||||
|
||||
#[test]
|
||||
@@ -130,7 +132,8 @@ mod tests {
|
||||
Term::from_field_text(text_field, "a"),
|
||||
Term::from_field_text(text_field, "b"),
|
||||
]);
|
||||
let phrase_weight = phrase_query.phrase_weight(&searcher, true).unwrap();
|
||||
let enable_scoring = EnableScoring::Enabled(&searcher);
|
||||
let phrase_weight = phrase_query.phrase_weight(enable_scoring).unwrap();
|
||||
let mut phrase_scorer = phrase_weight
|
||||
.phrase_scorer(searcher.segment_reader(0u32), 1.0)?
|
||||
.unwrap();
|
||||
|
||||
@@ -5,8 +5,37 @@ use downcast_rs::impl_downcast;
|
||||
use super::Weight;
|
||||
use crate::core::searcher::Searcher;
|
||||
use crate::query::Explanation;
|
||||
use crate::schema::Schema;
|
||||
use crate::{DocAddress, Term};
|
||||
|
||||
/// Argument used in `Query::weight(..)`
|
||||
#[derive(Copy, Clone)]
|
||||
pub enum EnableScoring<'a> {
|
||||
/// Pass this to enable scoring.
|
||||
Enabled(&'a Searcher),
|
||||
/// Pass this to disable scoring.
|
||||
/// This can improve performance.
|
||||
Disabled(&'a Schema),
|
||||
}
|
||||
|
||||
impl<'a> EnableScoring<'a> {
|
||||
/// Returns the schema.
|
||||
pub fn schema(&self) -> &Schema {
|
||||
match self {
|
||||
EnableScoring::Enabled(searcher) => searcher.schema(),
|
||||
EnableScoring::Disabled(schema) => schema,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns true if the scoring is enabled.
|
||||
pub fn is_scoring_enabled(&self) -> bool {
|
||||
match self {
|
||||
EnableScoring::Enabled(_) => true,
|
||||
EnableScoring::Disabled(_) => false,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// The `Query` trait defines a set of documents and a scoring method
|
||||
/// for those documents.
|
||||
///
|
||||
@@ -48,18 +77,18 @@ pub trait Query: QueryClone + Send + Sync + downcast_rs::Downcast + fmt::Debug {
|
||||
/// can increase performances.
|
||||
///
|
||||
/// See [`Weight`].
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>>;
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>>;
|
||||
|
||||
/// Returns an `Explanation` for the score of the document.
|
||||
fn explain(&self, searcher: &Searcher, doc_address: DocAddress) -> crate::Result<Explanation> {
|
||||
let weight = self.weight(EnableScoring::Enabled(searcher))?;
|
||||
let reader = searcher.segment_reader(doc_address.segment_ord);
|
||||
let weight = self.weight(searcher, true)?;
|
||||
weight.explain(reader, doc_address.doc_id)
|
||||
}
|
||||
|
||||
/// Returns the number of documents matching the query.
|
||||
fn count(&self, searcher: &Searcher) -> crate::Result<usize> {
|
||||
let weight = self.weight(searcher, false)?;
|
||||
let weight = self.weight(EnableScoring::Disabled(searcher.schema()))?;
|
||||
let mut result = 0;
|
||||
for reader in searcher.segment_readers() {
|
||||
result += weight.count(reader)? as usize;
|
||||
@@ -93,8 +122,8 @@ where T: 'static + Query + Clone
|
||||
}
|
||||
|
||||
impl Query for Box<dyn Query> {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
self.as_ref().weight(searcher, scoring_enabled)
|
||||
fn weight(&self, enabled_scoring: EnableScoring) -> crate::Result<Box<dyn Weight>> {
|
||||
self.as_ref().weight(enabled_scoring)
|
||||
}
|
||||
|
||||
fn count(&self, searcher: &Searcher) -> crate::Result<usize> {
|
||||
|
||||
@@ -15,6 +15,11 @@ pub enum LogicalLiteral {
|
||||
lower: Bound<Term>,
|
||||
upper: Bound<Term>,
|
||||
},
|
||||
Set {
|
||||
field: Field,
|
||||
value_type: Type,
|
||||
elements: Vec<Term>,
|
||||
},
|
||||
All,
|
||||
}
|
||||
|
||||
@@ -87,6 +92,27 @@ impl fmt::Debug for LogicalLiteral {
|
||||
ref upper,
|
||||
..
|
||||
} => write!(formatter, "({:?} TO {:?})", lower, upper),
|
||||
LogicalLiteral::Set { ref elements, .. } => {
|
||||
const MAX_DISPLAYED: usize = 10;
|
||||
|
||||
write!(formatter, "IN [")?;
|
||||
for (i, element) in elements.iter().enumerate() {
|
||||
if i == 0 {
|
||||
write!(formatter, "{:?}", element)?;
|
||||
} else if i == MAX_DISPLAYED - 1 {
|
||||
write!(
|
||||
formatter,
|
||||
", {:?}, ... ({} more)",
|
||||
element,
|
||||
elements.len() - i - 1
|
||||
)?;
|
||||
break;
|
||||
} else {
|
||||
write!(formatter, ", {:?}", element)?;
|
||||
}
|
||||
}
|
||||
write!(formatter, "]")
|
||||
}
|
||||
LogicalLiteral::All => write!(formatter, "*"),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -13,10 +13,11 @@ use crate::indexer::{
|
||||
};
|
||||
use crate::query::{
|
||||
AllQuery, BooleanQuery, BoostQuery, EmptyQuery, Occur, PhraseQuery, Query, RangeQuery,
|
||||
TermQuery,
|
||||
TermQuery, TermSetQuery,
|
||||
};
|
||||
use crate::schema::{
|
||||
Facet, FacetParseError, Field, FieldType, IndexRecordOption, IntoIpv6Addr, Schema, Term, Type,
|
||||
Facet, FacetParseError, Field, FieldType, IndexRecordOption, IntoIpv6Addr, JsonObjectOptions,
|
||||
Schema, Term, Type,
|
||||
};
|
||||
use crate::time::format_description::well_known::Rfc3339;
|
||||
use crate::time::OffsetDateTime;
|
||||
@@ -182,7 +183,6 @@ pub struct QueryParser {
|
||||
conjunction_by_default: bool,
|
||||
tokenizer_manager: TokenizerManager,
|
||||
boost: HashMap<Field, Score>,
|
||||
field_names: HashMap<String, Field>,
|
||||
}
|
||||
|
||||
fn all_negative(ast: &LogicalAst) -> bool {
|
||||
@@ -195,31 +195,6 @@ fn all_negative(ast: &LogicalAst) -> bool {
|
||||
}
|
||||
}
|
||||
|
||||
// Returns the position (in byte offsets) of the unescaped '.' in the `field_path`.
|
||||
//
|
||||
// This function operates directly on bytes (as opposed to codepoint), relying
|
||||
// on a encoding property of utf-8 for its correctness.
|
||||
fn locate_splitting_dots(field_path: &str) -> Vec<usize> {
|
||||
let mut splitting_dots_pos = Vec::new();
|
||||
let mut escape_state = false;
|
||||
for (pos, b) in field_path.bytes().enumerate() {
|
||||
if escape_state {
|
||||
escape_state = false;
|
||||
continue;
|
||||
}
|
||||
match b {
|
||||
b'\\' => {
|
||||
escape_state = true;
|
||||
}
|
||||
b'.' => {
|
||||
splitting_dots_pos.push(pos);
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
splitting_dots_pos
|
||||
}
|
||||
|
||||
impl QueryParser {
|
||||
/// Creates a `QueryParser`, given
|
||||
/// * schema - index Schema
|
||||
@@ -229,34 +204,19 @@ impl QueryParser {
|
||||
default_fields: Vec<Field>,
|
||||
tokenizer_manager: TokenizerManager,
|
||||
) -> QueryParser {
|
||||
let field_names = schema
|
||||
.fields()
|
||||
.map(|(field, field_entry)| (field_entry.name().to_string(), field))
|
||||
.collect();
|
||||
QueryParser {
|
||||
schema,
|
||||
default_fields,
|
||||
tokenizer_manager,
|
||||
conjunction_by_default: false,
|
||||
boost: Default::default(),
|
||||
field_names,
|
||||
}
|
||||
}
|
||||
|
||||
// Splits a full_path as written in a query, into a field name and a
|
||||
// json path.
|
||||
pub(crate) fn split_full_path<'a>(&self, full_path: &'a str) -> Option<(Field, &'a str)> {
|
||||
if let Some(field) = self.field_names.get(full_path) {
|
||||
return Some((*field, ""));
|
||||
}
|
||||
let mut splitting_period_pos: Vec<usize> = locate_splitting_dots(full_path);
|
||||
while let Some(pos) = splitting_period_pos.pop() {
|
||||
let (prefix, suffix) = full_path.split_at(pos);
|
||||
if let Some(field) = self.field_names.get(prefix) {
|
||||
return Some((*field, &suffix[1..]));
|
||||
}
|
||||
}
|
||||
None
|
||||
self.schema.find_field(full_path)
|
||||
}
|
||||
|
||||
/// Creates a `QueryParser`, given
|
||||
@@ -333,7 +293,9 @@ impl QueryParser {
|
||||
) -> Result<Term, QueryParserError> {
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
let field_type = field_entry.field_type();
|
||||
if !field_type.is_indexed() {
|
||||
|
||||
let is_ip_and_fast = field_type.is_ip_addr() && field_type.is_fast();
|
||||
if !field_type.is_indexed() && !is_ip_and_fast {
|
||||
return Err(QueryParserError::FieldNotIndexed(
|
||||
field_entry.name().to_string(),
|
||||
));
|
||||
@@ -480,28 +442,14 @@ impl QueryParser {
|
||||
.into_iter()
|
||||
.collect())
|
||||
}
|
||||
FieldType::JsonObject(ref json_options) => {
|
||||
let option = json_options.get_text_indexing_options().ok_or_else(|| {
|
||||
// This should have been seen earlier really.
|
||||
QueryParserError::FieldNotIndexed(field_name.to_string())
|
||||
})?;
|
||||
let text_analyzer =
|
||||
self.tokenizer_manager
|
||||
.get(option.tokenizer())
|
||||
.ok_or_else(|| QueryParserError::UnknownTokenizer {
|
||||
field: field_name.to_string(),
|
||||
tokenizer: option.tokenizer().to_string(),
|
||||
})?;
|
||||
let index_record_option = option.index_option();
|
||||
generate_literals_for_json_object(
|
||||
field_name,
|
||||
field,
|
||||
json_path,
|
||||
phrase,
|
||||
&text_analyzer,
|
||||
index_record_option,
|
||||
)
|
||||
}
|
||||
FieldType::JsonObject(ref json_options) => generate_literals_for_json_object(
|
||||
field_name,
|
||||
field,
|
||||
json_path,
|
||||
phrase,
|
||||
&self.tokenizer_manager,
|
||||
json_options,
|
||||
),
|
||||
FieldType::Facet(_) => match Facet::from_text(phrase) {
|
||||
Ok(facet) => {
|
||||
let facet_term = Term::from_facet(field, &facet);
|
||||
@@ -683,6 +631,31 @@ impl QueryParser {
|
||||
}));
|
||||
Ok(logical_ast)
|
||||
}
|
||||
UserInputLeaf::Set {
|
||||
field: full_field_opt,
|
||||
elements,
|
||||
} => {
|
||||
let full_path = full_field_opt.ok_or_else(|| {
|
||||
QueryParserError::UnsupportedQuery(
|
||||
"Set query need to target a specific field.".to_string(),
|
||||
)
|
||||
})?;
|
||||
let (field, json_path) = self
|
||||
.split_full_path(&full_path)
|
||||
.ok_or_else(|| QueryParserError::FieldDoesNotExist(full_path.clone()))?;
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
let value_type = field_entry.field_type().value_type();
|
||||
let logical_ast = LogicalAst::Leaf(Box::new(LogicalLiteral::Set {
|
||||
elements: elements
|
||||
.into_iter()
|
||||
.map(|element| self.compute_boundary_term(field, json_path, &element))
|
||||
.collect::<Result<Vec<_>, _>>()?,
|
||||
|
||||
field,
|
||||
value_type,
|
||||
}));
|
||||
Ok(logical_ast)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -701,6 +674,7 @@ fn convert_literal_to_query(logical_literal: LogicalLiteral) -> Box<dyn Query> {
|
||||
} => Box::new(RangeQuery::new_term_bounds(
|
||||
field, value_type, &lower, &upper,
|
||||
)),
|
||||
LogicalLiteral::Set { elements, .. } => Box::new(TermSetQuery::new(elements)),
|
||||
LogicalLiteral::All => Box::new(AllQuery),
|
||||
}
|
||||
}
|
||||
@@ -739,17 +713,32 @@ fn generate_literals_for_json_object(
|
||||
field: Field,
|
||||
json_path: &str,
|
||||
phrase: &str,
|
||||
text_analyzer: &TextAnalyzer,
|
||||
index_record_option: IndexRecordOption,
|
||||
tokenizer_manager: &TokenizerManager,
|
||||
json_options: &JsonObjectOptions,
|
||||
) -> Result<Vec<LogicalLiteral>, QueryParserError> {
|
||||
let text_options = json_options.get_text_indexing_options().ok_or_else(|| {
|
||||
// This should have been seen earlier really.
|
||||
QueryParserError::FieldNotIndexed(field_name.to_string())
|
||||
})?;
|
||||
let text_analyzer = tokenizer_manager
|
||||
.get(text_options.tokenizer())
|
||||
.ok_or_else(|| QueryParserError::UnknownTokenizer {
|
||||
field: field_name.to_string(),
|
||||
tokenizer: text_options.tokenizer().to_string(),
|
||||
})?;
|
||||
let index_record_option = text_options.index_option();
|
||||
let mut logical_literals = Vec::new();
|
||||
let mut term = Term::with_capacity(100);
|
||||
let mut json_term_writer =
|
||||
JsonTermWriter::from_field_and_json_path(field, json_path, &mut term);
|
||||
let mut json_term_writer = JsonTermWriter::from_field_and_json_path(
|
||||
field,
|
||||
json_path,
|
||||
json_options.is_expand_dots_enabled(),
|
||||
&mut term,
|
||||
);
|
||||
if let Some(term) = convert_to_fast_value_and_get_term(&mut json_term_writer, phrase) {
|
||||
logical_literals.push(LogicalLiteral::Term(term));
|
||||
}
|
||||
let terms = set_string_and_get_terms(&mut json_term_writer, phrase, text_analyzer);
|
||||
let terms = set_string_and_get_terms(&mut json_term_writer, phrase, &text_analyzer);
|
||||
drop(json_term_writer);
|
||||
if terms.len() <= 1 {
|
||||
for (_, term) in terms {
|
||||
@@ -1060,6 +1049,28 @@ mod test {
|
||||
);
|
||||
}
|
||||
|
||||
fn extract_query_term_json_path(query: &str) -> String {
|
||||
let LogicalAst::Leaf(literal) = parse_query_to_logical_ast(query, false).unwrap() else {
|
||||
panic!();
|
||||
};
|
||||
let LogicalLiteral::Term(term) = *literal else {
|
||||
panic!();
|
||||
};
|
||||
std::str::from_utf8(term.value_bytes()).unwrap().to_string()
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_field_query_with_espaced_dot() {
|
||||
assert_eq!(
|
||||
extract_query_term_json_path(r#"json.k8s.node.name:hello"#),
|
||||
"k8s\u{1}node\u{1}name\0shello"
|
||||
);
|
||||
assert_eq!(
|
||||
extract_query_term_json_path(r#"json.k8s\.node\.name:hello"#),
|
||||
"k8s.node.name\0shello"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_json_field_possibly_a_number() {
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
@@ -1514,13 +1525,6 @@ mod test {
|
||||
assert_eq!(query_parser.split_full_path("firsty"), None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_locate_splitting_dots() {
|
||||
assert_eq!(&super::locate_splitting_dots("a.b.c"), &[1, 3]);
|
||||
assert_eq!(&super::locate_splitting_dots(r#"a\.b.c"#), &[4]);
|
||||
assert_eq!(&super::locate_splitting_dots(r#"a\..b.c"#), &[3, 5]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_phrase_slop() {
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
@@ -1539,4 +1543,29 @@ mod test {
|
||||
false,
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_term_set_query() {
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
"title: IN [a b cd]",
|
||||
r#"IN [Term(type=Str, field=0, "a"), Term(type=Str, field=0, "b"), Term(type=Str, field=0, "cd")]"#,
|
||||
false,
|
||||
);
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
"bytes: IN [AA== ABA= ABCD]",
|
||||
r#"IN [Term(type=Bytes, field=12, [0]), Term(type=Bytes, field=12, [0, 16]), Term(type=Bytes, field=12, [0, 16, 131])]"#,
|
||||
false,
|
||||
);
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
"signed: IN [1 2 -3]",
|
||||
r#"IN [Term(type=I64, field=2, 1), Term(type=I64, field=2, 2), Term(type=I64, field=2, -3)]"#,
|
||||
false,
|
||||
);
|
||||
|
||||
test_parse_query_to_logical_ast_helper(
|
||||
"float: IN [1.1 2.2 -3.3]",
|
||||
r#"IN [Term(type=F64, field=10, 1.1), Term(type=F64, field=10, 2.2), Term(type=F64, field=10, -3.3)]"#,
|
||||
false,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -3,15 +3,16 @@ use std::ops::{Bound, Range};
|
||||
|
||||
use common::BitSet;
|
||||
|
||||
use crate::core::{Searcher, SegmentReader};
|
||||
use crate::core::SegmentReader;
|
||||
use crate::error::TantivyError;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::{BitSetDocSet, ConstScorer, Explanation, Query, Scorer, Weight};
|
||||
use crate::query::range_query_ip_fastfield::IPFastFieldRangeWeight;
|
||||
use crate::query::{BitSetDocSet, ConstScorer, EnableScoring, Explanation, Query, Scorer, Weight};
|
||||
use crate::schema::{Field, IndexRecordOption, Term, Type};
|
||||
use crate::termdict::{TermDictionary, TermStreamer};
|
||||
use crate::{DocId, Score};
|
||||
|
||||
fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
|
||||
pub(crate) fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
|
||||
bound: &Bound<TFrom>,
|
||||
transform: &Transform,
|
||||
) -> Bound<TTo> {
|
||||
@@ -29,8 +30,17 @@ fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
|
||||
///
|
||||
/// # Implementation
|
||||
///
|
||||
/// The current implement will iterate over the terms within the range
|
||||
/// and append all of the document cross into a `BitSet`.
|
||||
/// ## Default
|
||||
/// The default implementation collects all documents _upfront_ into a `BitSet`.
|
||||
/// This is done by iterating over the terms within the range and loading all docs for each
|
||||
/// `TermInfo` from the inverted index (posting list) and put them into a `BitSet`.
|
||||
/// Depending on the number of terms matched, this is a potentially expensive operation.
|
||||
///
|
||||
/// ## IP fast field
|
||||
/// For IP fast fields a custom variant is used, by scanning the fast field. Unlike the default
|
||||
/// variant we can walk in a lazy fashion over it, since the fastfield is implicit orderered by
|
||||
/// DocId.
|
||||
///
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
@@ -243,13 +253,10 @@ impl RangeQuery {
|
||||
}
|
||||
|
||||
impl Query for RangeQuery {
|
||||
fn weight(
|
||||
&self,
|
||||
searcher: &Searcher,
|
||||
_scoring_enabled: bool,
|
||||
) -> crate::Result<Box<dyn Weight>> {
|
||||
let schema = searcher.schema();
|
||||
let value_type = schema.get_field_entry(self.field).field_type().value_type();
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
let schema = enable_scoring.schema();
|
||||
let field_type = schema.get_field_entry(self.field).field_type();
|
||||
let value_type = field_type.value_type();
|
||||
if value_type != self.value_type {
|
||||
let err_msg = format!(
|
||||
"Create a range query of the type {:?}, when the field given was of type {:?}",
|
||||
@@ -257,11 +264,20 @@ impl Query for RangeQuery {
|
||||
);
|
||||
return Err(TantivyError::SchemaError(err_msg));
|
||||
}
|
||||
Ok(Box::new(RangeWeight {
|
||||
field: self.field,
|
||||
left_bound: self.left_bound.clone(),
|
||||
right_bound: self.right_bound.clone(),
|
||||
}))
|
||||
|
||||
if field_type.is_ip_addr() && field_type.is_fast() {
|
||||
Ok(Box::new(IPFastFieldRangeWeight::new(
|
||||
self.field,
|
||||
&self.left_bound,
|
||||
&self.right_bound,
|
||||
)))
|
||||
} else {
|
||||
Ok(Box::new(RangeWeight {
|
||||
field: self.field,
|
||||
left_bound: self.left_bound.clone(),
|
||||
right_bound: self.right_bound.clone(),
|
||||
}))
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -335,7 +351,7 @@ mod tests {
|
||||
use super::RangeQuery;
|
||||
use crate::collector::{Count, TopDocs};
|
||||
use crate::query::QueryParser;
|
||||
use crate::schema::{Document, Field, IntoIpv6Addr, Schema, INDEXED, STORED, TEXT};
|
||||
use crate::schema::{Document, Field, IntoIpv6Addr, Schema, FAST, INDEXED, STORED, TEXT};
|
||||
use crate::{doc, Index};
|
||||
|
||||
#[test]
|
||||
@@ -509,10 +525,24 @@ mod tests {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn search_ip_range_test_posting_list() {
|
||||
search_ip_range_test_opt(false);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn search_ip_range_test() {
|
||||
search_ip_range_test_opt(true);
|
||||
}
|
||||
|
||||
fn search_ip_range_test_opt(with_fast_field: bool) {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let ip_field = schema_builder.add_ip_addr_field("ip", INDEXED | STORED);
|
||||
let ip_field = if with_fast_field {
|
||||
schema_builder.add_ip_addr_field("ip", INDEXED | STORED | FAST)
|
||||
} else {
|
||||
schema_builder.add_ip_addr_field("ip", INDEXED | STORED)
|
||||
};
|
||||
let text_field = schema_builder.add_text_field("text", TEXT | STORED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let ip_addr_1 = IpAddr::from_str("127.0.0.10").unwrap().into_ipv6_addr();
|
||||
@@ -520,16 +550,22 @@ mod tests {
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer(3_000_000).unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(
|
||||
ip_field => ip_addr_1
|
||||
))
|
||||
.unwrap();
|
||||
index_writer
|
||||
.add_document(doc!(
|
||||
ip_field => ip_addr_2
|
||||
))
|
||||
.unwrap();
|
||||
for _ in 0..1_000 {
|
||||
index_writer
|
||||
.add_document(doc!(
|
||||
ip_field => ip_addr_1,
|
||||
text_field => "BLUBBER"
|
||||
))
|
||||
.unwrap();
|
||||
}
|
||||
for _ in 0..1_000 {
|
||||
index_writer
|
||||
.add_document(doc!(
|
||||
ip_field => ip_addr_2,
|
||||
text_field => "BLOBBER"
|
||||
))
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
@@ -543,24 +579,25 @@ mod tests {
|
||||
count
|
||||
};
|
||||
let query_from_text = |text: &str| {
|
||||
QueryParser::for_index(&index, vec![ip_field])
|
||||
QueryParser::for_index(&index, vec![])
|
||||
.parse_query(text)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
// Inclusive range
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:[127.0.0.1 TO 127.0.0.20]")),
|
||||
2
|
||||
2000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:[127.0.0.10 TO 127.0.0.20]")),
|
||||
2
|
||||
2000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:[127.0.0.11 TO 127.0.0.20]")),
|
||||
1
|
||||
1000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
@@ -568,9 +605,84 @@ mod tests {
|
||||
0
|
||||
);
|
||||
|
||||
assert_eq!(get_num_hits(query_from_text("ip:[127.0.0.11 TO *]")), 1);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:[127.0.0.11 TO *]")), 1000);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:[127.0.0.21 TO *]")), 0);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:[* TO 127.0.0.9]")), 0);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:[* TO 127.0.0.10]")), 1);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:[* TO 127.0.0.10]")), 1000);
|
||||
|
||||
// Exclusive range
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:{127.0.0.1 TO 127.0.0.20}")),
|
||||
1000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:{127.0.0.1 TO 127.0.0.21}")),
|
||||
2000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:{127.0.0.10 TO 127.0.0.20}")),
|
||||
0
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:{127.0.0.11 TO 127.0.0.20}")),
|
||||
0
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:{127.0.0.11 TO 127.0.0.19}")),
|
||||
0
|
||||
);
|
||||
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{127.0.0.11 TO *}")), 1000);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{127.0.0.10 TO *}")), 1000);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{127.0.0.21 TO *}")), 0);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{127.0.0.20 TO *}")), 0);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{127.0.0.19 TO *}")), 1000);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{* TO 127.0.0.9}")), 0);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{* TO 127.0.0.10}")), 0);
|
||||
assert_eq!(get_num_hits(query_from_text("ip:{* TO 127.0.0.11}")), 1000);
|
||||
|
||||
// Inclusive/Exclusive range
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:[127.0.0.1 TO 127.0.0.20}")),
|
||||
1000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text("ip:{127.0.0.1 TO 127.0.0.20]")),
|
||||
2000
|
||||
);
|
||||
|
||||
// Intersection
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text(
|
||||
"text:BLUBBER AND ip:[127.0.0.10 TO 127.0.0.10]"
|
||||
)),
|
||||
1000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text(
|
||||
"text:BLOBBER AND ip:[127.0.0.10 TO 127.0.0.10]"
|
||||
)),
|
||||
0
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text(
|
||||
"text:BLOBBER AND ip:[127.0.0.20 TO 127.0.0.20]"
|
||||
)),
|
||||
1000
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
get_num_hits(query_from_text(
|
||||
"text:BLUBBER AND ip:[127.0.0.20 TO 127.0.0.20]"
|
||||
)),
|
||||
0
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
728
src/query/range_query_ip_fastfield.rs
Normal file
728
src/query/range_query_ip_fastfield.rs
Normal file
@@ -0,0 +1,728 @@
|
||||
//! IP Fastfields support efficient scanning for range queries.
|
||||
//! We use this variant only if the fastfield exists, otherwise the default in `range_query` is
|
||||
//! used, which uses the term dictionary + postings.
|
||||
|
||||
use std::net::Ipv6Addr;
|
||||
use std::ops::{Bound, RangeInclusive};
|
||||
use std::sync::Arc;
|
||||
|
||||
use common::BinarySerializable;
|
||||
use fastfield_codecs::{Column, MonotonicallyMappableToU128};
|
||||
|
||||
use super::range_query::map_bound;
|
||||
use super::{ConstScorer, Explanation, Scorer, Weight};
|
||||
use crate::fastfield::MultiValuedU128FastFieldReader;
|
||||
use crate::schema::{Cardinality, Field};
|
||||
use crate::{DocId, DocSet, Score, SegmentReader, TantivyError, TERMINATED};
|
||||
|
||||
/// `IPFastFieldRangeWeight` uses the ip address fast field to execute range queries.
|
||||
pub struct IPFastFieldRangeWeight {
|
||||
field: Field,
|
||||
left_bound: Bound<Ipv6Addr>,
|
||||
right_bound: Bound<Ipv6Addr>,
|
||||
}
|
||||
|
||||
impl IPFastFieldRangeWeight {
|
||||
pub fn new(field: Field, left_bound: &Bound<Vec<u8>>, right_bound: &Bound<Vec<u8>>) -> Self {
|
||||
let ip_from_bound_raw_data = |data: &Vec<u8>| {
|
||||
let left_ip_u128: u128 =
|
||||
u128::from_be(BinarySerializable::deserialize(&mut &data[..]).unwrap());
|
||||
Ipv6Addr::from_u128(left_ip_u128)
|
||||
};
|
||||
let left_bound = map_bound(left_bound, &ip_from_bound_raw_data);
|
||||
let right_bound = map_bound(right_bound, &ip_from_bound_raw_data);
|
||||
Self {
|
||||
field,
|
||||
left_bound,
|
||||
right_bound,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Weight for IPFastFieldRangeWeight {
|
||||
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
|
||||
let field_type = reader.schema().get_field_entry(self.field).field_type();
|
||||
match field_type.fastfield_cardinality().unwrap() {
|
||||
Cardinality::SingleValue => {
|
||||
let ip_addr_fast_field = reader.fast_fields().ip_addr(self.field)?;
|
||||
let value_range = bound_to_value_range(
|
||||
&self.left_bound,
|
||||
&self.right_bound,
|
||||
ip_addr_fast_field.min_value(),
|
||||
ip_addr_fast_field.max_value(),
|
||||
);
|
||||
let docset = IpRangeDocSet::new(
|
||||
value_range,
|
||||
IpFastFieldCardinality::SingleValue(ip_addr_fast_field),
|
||||
);
|
||||
Ok(Box::new(ConstScorer::new(docset, boost)))
|
||||
}
|
||||
Cardinality::MultiValues => {
|
||||
let ip_addr_fast_field = reader.fast_fields().ip_addrs(self.field)?;
|
||||
let value_range = bound_to_value_range(
|
||||
&self.left_bound,
|
||||
&self.right_bound,
|
||||
ip_addr_fast_field.min_value(),
|
||||
ip_addr_fast_field.max_value(),
|
||||
);
|
||||
let docset = IpRangeDocSet::new(
|
||||
value_range,
|
||||
IpFastFieldCardinality::MultiValue(ip_addr_fast_field),
|
||||
);
|
||||
Ok(Box::new(ConstScorer::new(docset, boost)))
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
|
||||
let mut scorer = self.scorer(reader, 1.0)?;
|
||||
if scorer.seek(doc) != doc {
|
||||
return Err(TantivyError::InvalidArgument(format!(
|
||||
"Document #({}) does not match",
|
||||
doc
|
||||
)));
|
||||
}
|
||||
let explanation = Explanation::new("Const", scorer.score());
|
||||
|
||||
Ok(explanation)
|
||||
}
|
||||
}
|
||||
|
||||
fn bound_to_value_range(
|
||||
left_bound: &Bound<Ipv6Addr>,
|
||||
right_bound: &Bound<Ipv6Addr>,
|
||||
min_value: Ipv6Addr,
|
||||
max_value: Ipv6Addr,
|
||||
) -> RangeInclusive<Ipv6Addr> {
|
||||
let start_value = match left_bound {
|
||||
Bound::Included(ip_addr) => *ip_addr,
|
||||
Bound::Excluded(ip_addr) => Ipv6Addr::from(ip_addr.to_u128() + 1),
|
||||
Bound::Unbounded => min_value,
|
||||
};
|
||||
|
||||
let end_value = match right_bound {
|
||||
Bound::Included(ip_addr) => *ip_addr,
|
||||
Bound::Excluded(ip_addr) => Ipv6Addr::from(ip_addr.to_u128() - 1),
|
||||
Bound::Unbounded => max_value,
|
||||
};
|
||||
start_value..=end_value
|
||||
}
|
||||
|
||||
/// Helper to have a cursor over a vec of docids
|
||||
struct VecCursor {
|
||||
docs: Vec<u32>,
|
||||
current_pos: usize,
|
||||
}
|
||||
impl VecCursor {
|
||||
fn new() -> Self {
|
||||
Self {
|
||||
docs: Vec::with_capacity(32),
|
||||
current_pos: 0,
|
||||
}
|
||||
}
|
||||
fn next(&mut self) -> Option<u32> {
|
||||
self.current_pos += 1;
|
||||
self.current()
|
||||
}
|
||||
#[inline]
|
||||
fn current(&self) -> Option<u32> {
|
||||
self.docs.get(self.current_pos).map(|el| *el as u32)
|
||||
}
|
||||
fn get_cleared_data(&mut self) -> &mut Vec<u32> {
|
||||
self.docs.clear();
|
||||
self.current_pos = 0;
|
||||
&mut self.docs
|
||||
}
|
||||
fn last_value(&self) -> Option<u32> {
|
||||
self.docs.iter().last().cloned()
|
||||
}
|
||||
fn is_empty(&self) -> bool {
|
||||
self.current_pos >= self.docs.len()
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) enum IpFastFieldCardinality {
|
||||
SingleValue(Arc<dyn Column<Ipv6Addr>>),
|
||||
MultiValue(MultiValuedU128FastFieldReader<Ipv6Addr>),
|
||||
}
|
||||
|
||||
impl IpFastFieldCardinality {
|
||||
fn num_docs(&self) -> u32 {
|
||||
match self {
|
||||
IpFastFieldCardinality::SingleValue(single_value) => single_value.num_vals(),
|
||||
IpFastFieldCardinality::MultiValue(multi_value) => {
|
||||
multi_value.get_index_reader().num_docs()
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct IpRangeDocSet {
|
||||
/// The range filter on the values.
|
||||
value_range: RangeInclusive<Ipv6Addr>,
|
||||
ip_addr_fast_field: IpFastFieldCardinality,
|
||||
/// The next docid start range to fetch (inclusive).
|
||||
next_fetch_start: u32,
|
||||
/// Number of docs range checked in a batch.
|
||||
///
|
||||
/// There are two patterns.
|
||||
/// - We do a full scan. => We can load large chunks. We don't know in advance if seek call
|
||||
/// will come, so we start with small chunks
|
||||
/// - We load docs, interspersed with seek calls. When there are big jumps in the seek, we
|
||||
/// should load small chunks. When the seeks are small, we can employ the same strategy as on a
|
||||
/// full scan.
|
||||
fetch_horizon: u32,
|
||||
/// Current batch of loaded docs.
|
||||
loaded_docs: VecCursor,
|
||||
last_seek_pos_opt: Option<u32>,
|
||||
}
|
||||
|
||||
const DEFAULT_FETCH_HORIZON: u32 = 128;
|
||||
impl IpRangeDocSet {
|
||||
fn new(
|
||||
value_range: RangeInclusive<Ipv6Addr>,
|
||||
ip_addr_fast_field: IpFastFieldCardinality,
|
||||
) -> Self {
|
||||
let mut ip_range_docset = Self {
|
||||
value_range,
|
||||
ip_addr_fast_field,
|
||||
loaded_docs: VecCursor::new(),
|
||||
next_fetch_start: 0,
|
||||
fetch_horizon: DEFAULT_FETCH_HORIZON,
|
||||
last_seek_pos_opt: None,
|
||||
};
|
||||
ip_range_docset.reset_fetch_range();
|
||||
ip_range_docset.fetch_block();
|
||||
ip_range_docset
|
||||
}
|
||||
|
||||
fn reset_fetch_range(&mut self) {
|
||||
self.fetch_horizon = DEFAULT_FETCH_HORIZON;
|
||||
}
|
||||
|
||||
/// Returns true if more data could be fetched
|
||||
fn fetch_block(&mut self) {
|
||||
const MAX_HORIZON: u32 = 100_000;
|
||||
while self.loaded_docs.is_empty() {
|
||||
let finished_to_end = self.fetch_horizon(self.fetch_horizon);
|
||||
if finished_to_end {
|
||||
break;
|
||||
}
|
||||
// Fetch more data, increase horizon. Horizon only gets reset when doing a seek.
|
||||
self.fetch_horizon = (self.fetch_horizon * 2).min(MAX_HORIZON);
|
||||
}
|
||||
}
|
||||
|
||||
/// check if the distance between the seek calls is large
|
||||
fn is_last_seek_distance_large(&self, new_seek: DocId) -> bool {
|
||||
if let Some(last_seek_pos) = self.last_seek_pos_opt {
|
||||
(new_seek - last_seek_pos) >= 128
|
||||
} else {
|
||||
true
|
||||
}
|
||||
}
|
||||
|
||||
/// Fetches a block for docid range [next_fetch_start .. next_fetch_start + HORIZON]
|
||||
fn fetch_horizon(&mut self, horizon: u32) -> bool {
|
||||
let mut finished_to_end = false;
|
||||
|
||||
let limit = self.ip_addr_fast_field.num_docs();
|
||||
let mut end = self.next_fetch_start + horizon;
|
||||
if end >= limit {
|
||||
end = limit;
|
||||
finished_to_end = true;
|
||||
}
|
||||
|
||||
match &self.ip_addr_fast_field {
|
||||
IpFastFieldCardinality::MultiValue(multi) => {
|
||||
let last_value = self.loaded_docs.last_value();
|
||||
|
||||
multi.get_docids_for_value_range(
|
||||
self.value_range.clone(),
|
||||
self.next_fetch_start..end,
|
||||
self.loaded_docs.get_cleared_data(),
|
||||
);
|
||||
// In case of multivalues, we may have an overlap of the same docid between fetching
|
||||
// blocks
|
||||
if let Some(last_value) = last_value {
|
||||
while self.loaded_docs.current() == Some(last_value) {
|
||||
self.loaded_docs.next();
|
||||
}
|
||||
}
|
||||
}
|
||||
IpFastFieldCardinality::SingleValue(single) => {
|
||||
single.get_docids_for_value_range(
|
||||
self.value_range.clone(),
|
||||
self.next_fetch_start..end,
|
||||
self.loaded_docs.get_cleared_data(),
|
||||
);
|
||||
}
|
||||
}
|
||||
self.next_fetch_start = end;
|
||||
|
||||
finished_to_end
|
||||
}
|
||||
}
|
||||
|
||||
impl DocSet for IpRangeDocSet {
|
||||
#[inline]
|
||||
fn advance(&mut self) -> DocId {
|
||||
if let Some(docid) = self.loaded_docs.next() {
|
||||
docid as u32
|
||||
} else {
|
||||
if self.next_fetch_start >= self.ip_addr_fast_field.num_docs() as u32 {
|
||||
return TERMINATED;
|
||||
}
|
||||
self.fetch_block();
|
||||
self.loaded_docs.current().unwrap_or(TERMINATED)
|
||||
}
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn doc(&self) -> DocId {
|
||||
self.loaded_docs
|
||||
.current()
|
||||
.map(|el| el as u32)
|
||||
.unwrap_or(TERMINATED)
|
||||
}
|
||||
|
||||
/// Advances the `DocSet` forward until reaching the target, or going to the
|
||||
/// lowest [`DocId`] greater than the target.
|
||||
///
|
||||
/// If the end of the `DocSet` is reached, [`TERMINATED`] is returned.
|
||||
///
|
||||
/// Calling `.seek(target)` on a terminated `DocSet` is legal. Implementation
|
||||
/// of `DocSet` should support it.
|
||||
///
|
||||
/// Calling `seek(TERMINATED)` is also legal and is the normal way to consume a `DocSet`.
|
||||
fn seek(&mut self, target: DocId) -> DocId {
|
||||
if self.is_last_seek_distance_large(target) {
|
||||
self.reset_fetch_range();
|
||||
}
|
||||
if target > self.next_fetch_start {
|
||||
self.next_fetch_start = target;
|
||||
}
|
||||
let mut doc = self.doc();
|
||||
debug_assert!(doc <= target);
|
||||
while doc < target {
|
||||
doc = self.advance();
|
||||
}
|
||||
self.last_seek_pos_opt = Some(target);
|
||||
doc
|
||||
}
|
||||
|
||||
fn size_hint(&self) -> u32 {
|
||||
0 // heuristic possible by checking number of hits when fetching a block
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use proptest::prelude::ProptestConfig;
|
||||
use proptest::strategy::Strategy;
|
||||
use proptest::{prop_oneof, proptest};
|
||||
|
||||
use super::*;
|
||||
use crate::collector::Count;
|
||||
use crate::query::QueryParser;
|
||||
use crate::schema::{IpAddrOptions, Schema, FAST, STORED, STRING};
|
||||
use crate::Index;
|
||||
|
||||
#[derive(Clone, Debug)]
|
||||
pub struct Doc {
|
||||
pub id: String,
|
||||
pub ip: Ipv6Addr,
|
||||
}
|
||||
|
||||
fn operation_strategy() -> impl Strategy<Value = Doc> {
|
||||
prop_oneof![
|
||||
(0u64..10_000u64).prop_map(doc_from_id_1),
|
||||
(1u64..10_000u64).prop_map(doc_from_id_2),
|
||||
]
|
||||
}
|
||||
|
||||
pub fn doc_from_id_1(id: u64) -> Doc {
|
||||
let id = id * 1000;
|
||||
Doc {
|
||||
// ip != id
|
||||
id: id.to_string(),
|
||||
ip: Ipv6Addr::from_u128(id as u128),
|
||||
}
|
||||
}
|
||||
fn doc_from_id_2(id: u64) -> Doc {
|
||||
let id = id * 1000;
|
||||
Doc {
|
||||
// ip != id
|
||||
id: (id - 1).to_string(),
|
||||
ip: Ipv6Addr::from_u128(id as u128),
|
||||
}
|
||||
}
|
||||
|
||||
proptest! {
|
||||
#![proptest_config(ProptestConfig::with_cases(10))]
|
||||
#[test]
|
||||
fn test_ip_range_for_docs_prop(ops in proptest::collection::vec(operation_strategy(), 1..1000)) {
|
||||
assert!(test_ip_range_for_docs(ops).is_ok());
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn ip_range_regression1_test() {
|
||||
let ops = vec![doc_from_id_1(0)];
|
||||
assert!(test_ip_range_for_docs(ops).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn ip_range_regression2_test() {
|
||||
let ops = vec![
|
||||
doc_from_id_1(52),
|
||||
doc_from_id_1(63),
|
||||
doc_from_id_1(12),
|
||||
doc_from_id_2(91),
|
||||
doc_from_id_2(33),
|
||||
];
|
||||
assert!(test_ip_range_for_docs(ops).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn ip_range_regression3_test() {
|
||||
let ops = vec![doc_from_id_1(1), doc_from_id_1(2), doc_from_id_1(3)];
|
||||
assert!(test_ip_range_for_docs(ops).is_ok());
|
||||
}
|
||||
|
||||
pub fn create_index_from_docs(docs: &[Doc]) -> Index {
|
||||
let mut schema_builder = Schema::builder();
|
||||
let ip_field = schema_builder.add_ip_addr_field("ip", STORED | FAST);
|
||||
let ips_field = schema_builder.add_ip_addr_field(
|
||||
"ips",
|
||||
IpAddrOptions::default()
|
||||
.set_fast(Cardinality::MultiValues)
|
||||
.set_indexed(),
|
||||
);
|
||||
let text_field = schema_builder.add_text_field("id", STRING | STORED);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer(3_000_000).unwrap();
|
||||
for doc in docs.iter() {
|
||||
index_writer
|
||||
.add_document(doc!(
|
||||
ips_field => doc.ip,
|
||||
ips_field => doc.ip,
|
||||
ip_field => doc.ip,
|
||||
text_field => doc.id.to_string(),
|
||||
))
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
index_writer.commit().unwrap();
|
||||
}
|
||||
index
|
||||
}
|
||||
|
||||
fn test_ip_range_for_docs(docs: Vec<Doc>) -> crate::Result<()> {
|
||||
let index = create_index_from_docs(&docs);
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
|
||||
let get_num_hits = |query| searcher.search(&query, &(Count)).unwrap();
|
||||
let query_from_text = |text: &str| {
|
||||
QueryParser::for_index(&index, vec![])
|
||||
.parse_query(text)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
let gen_query_inclusive = |field: &str, from: Ipv6Addr, to: Ipv6Addr| {
|
||||
format!("{}:[{} TO {}]", field, &from.to_string(), &to.to_string())
|
||||
};
|
||||
|
||||
let test_sample = |sample_docs: Vec<Doc>| {
|
||||
let mut ips: Vec<Ipv6Addr> = sample_docs.iter().map(|doc| doc.ip).collect();
|
||||
ips.sort();
|
||||
let expected_num_hits = docs
|
||||
.iter()
|
||||
.filter(|doc| (ips[0]..=ips[1]).contains(&doc.ip))
|
||||
.count();
|
||||
|
||||
let query = gen_query_inclusive("ip", ips[0], ips[1]);
|
||||
assert_eq!(get_num_hits(query_from_text(&query)), expected_num_hits);
|
||||
|
||||
let query = gen_query_inclusive("ips", ips[0], ips[1]);
|
||||
assert_eq!(get_num_hits(query_from_text(&query)), expected_num_hits);
|
||||
|
||||
// Intersection search
|
||||
let id_filter = sample_docs[0].id.to_string();
|
||||
let expected_num_hits = docs
|
||||
.iter()
|
||||
.filter(|doc| (ips[0]..=ips[1]).contains(&doc.ip) && doc.id == id_filter)
|
||||
.count();
|
||||
let query = format!(
|
||||
"{} AND id:{}",
|
||||
gen_query_inclusive("ip", ips[0], ips[1]),
|
||||
&id_filter
|
||||
);
|
||||
assert_eq!(get_num_hits(query_from_text(&query)), expected_num_hits);
|
||||
|
||||
// Intersection search on multivalue ip field
|
||||
let id_filter = sample_docs[0].id.to_string();
|
||||
let query = format!(
|
||||
"{} AND id:{}",
|
||||
gen_query_inclusive("ips", ips[0], ips[1]),
|
||||
&id_filter
|
||||
);
|
||||
assert_eq!(get_num_hits(query_from_text(&query)), expected_num_hits);
|
||||
};
|
||||
|
||||
test_sample(vec![docs[0].clone(), docs[0].clone()]);
|
||||
if docs.len() > 1 {
|
||||
test_sample(vec![docs[0].clone(), docs[1].clone()]);
|
||||
test_sample(vec![docs[1].clone(), docs[1].clone()]);
|
||||
}
|
||||
if docs.len() > 2 {
|
||||
test_sample(vec![docs[1].clone(), docs[2].clone()]);
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(all(test, feature = "unstable"))]
|
||||
mod bench {
|
||||
|
||||
use rand::rngs::StdRng;
|
||||
use rand::{Rng, SeedableRng};
|
||||
use test::Bencher;
|
||||
|
||||
use super::tests::*;
|
||||
use super::*;
|
||||
use crate::collector::Count;
|
||||
use crate::query::QueryParser;
|
||||
use crate::Index;
|
||||
|
||||
fn get_index_0_to_100() -> Index {
|
||||
let mut rng = StdRng::from_seed([1u8; 32]);
|
||||
let num_vals = 100_000;
|
||||
let docs: Vec<_> = (0..num_vals)
|
||||
.map(|_i| {
|
||||
let id = if rng.gen_bool(0.01) {
|
||||
"veryfew".to_string() // 1%
|
||||
} else if rng.gen_bool(0.1) {
|
||||
"few".to_string() // 9%
|
||||
} else {
|
||||
"many".to_string() // 90%
|
||||
};
|
||||
Doc {
|
||||
id,
|
||||
// Multiply by 1000, so that we create many buckets in the compact space
|
||||
// The benches depend on this range to select n-percent of elements with the
|
||||
// methods below.
|
||||
ip: Ipv6Addr::from_u128(rng.gen_range(0..100) * 1000),
|
||||
}
|
||||
})
|
||||
.collect();
|
||||
|
||||
let index = create_index_from_docs(&docs);
|
||||
index
|
||||
}
|
||||
|
||||
fn get_90_percent() -> RangeInclusive<Ipv6Addr> {
|
||||
let start = Ipv6Addr::from_u128(0);
|
||||
let end = Ipv6Addr::from_u128(90 * 1000);
|
||||
start..=end
|
||||
}
|
||||
|
||||
fn get_10_percent() -> RangeInclusive<Ipv6Addr> {
|
||||
let start = Ipv6Addr::from_u128(0);
|
||||
let end = Ipv6Addr::from_u128(10 * 1000);
|
||||
start..=end
|
||||
}
|
||||
|
||||
fn get_1_percent() -> RangeInclusive<Ipv6Addr> {
|
||||
let start = Ipv6Addr::from_u128(10 * 1000);
|
||||
let end = Ipv6Addr::from_u128(10 * 1000);
|
||||
start..=end
|
||||
}
|
||||
|
||||
fn excute_query(
|
||||
field: &str,
|
||||
ip_range: RangeInclusive<Ipv6Addr>,
|
||||
suffix: &str,
|
||||
index: &Index,
|
||||
) -> usize {
|
||||
let gen_query_inclusive = |from: &Ipv6Addr, to: &Ipv6Addr| {
|
||||
format!(
|
||||
"{}:[{} TO {}] {}",
|
||||
field,
|
||||
&from.to_string(),
|
||||
&to.to_string(),
|
||||
suffix
|
||||
)
|
||||
};
|
||||
|
||||
let query = gen_query_inclusive(ip_range.start(), ip_range.end());
|
||||
let query_from_text = |text: &str| {
|
||||
QueryParser::for_index(&index, vec![])
|
||||
.parse_query(text)
|
||||
.unwrap()
|
||||
};
|
||||
let query = query_from_text(&query);
|
||||
let reader = index.reader().unwrap();
|
||||
let searcher = reader.searcher();
|
||||
searcher.search(&query, &(Count)).unwrap()
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_90_percent(), "", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_10_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_10_percent(), "", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_1_percent(), "", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_10_percent_intersect_with_10_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_10_percent(), "AND id:few", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_intersect_with_10_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_1_percent(), "AND id:few", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_intersect_with_90_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_1_percent(), "AND id:many", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_intersect_with_1_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_1_percent(), "AND id:veryfew", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_10_percent_intersect_with_90_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_10_percent(), "AND id:many", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_intersect_with_90_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_90_percent(), "AND id:many", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_intersect_with_10_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_90_percent(), "AND id:few", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_intersect_with_1_percent(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ip", get_90_percent(), "AND id:veryfew", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_90_percent(), "", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_10_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_10_percent(), "", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_1_percent(), "", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_10_percent_intersect_with_10_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_10_percent(), "AND id:few", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_intersect_with_10_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_1_percent(), "AND id:few", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_intersect_with_90_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_1_percent(), "AND id:many", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_1_percent_intersect_with_1_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_1_percent(), "AND id:veryfew", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_10_percent_intersect_with_90_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_10_percent(), "AND id:many", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_intersect_with_90_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_90_percent(), "AND id:many", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_intersect_with_10_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_90_percent(), "AND id:few", &index));
|
||||
}
|
||||
|
||||
#[bench]
|
||||
fn bench_ip_range_hit_90_percent_intersect_with_1_percent_multi(bench: &mut Bencher) {
|
||||
let index = get_index_0_to_100();
|
||||
|
||||
bench.iter(|| excute_query("ips", get_90_percent(), "AND id:veryfew", &index));
|
||||
}
|
||||
}
|
||||
@@ -4,9 +4,8 @@ use std::sync::Arc;
|
||||
use tantivy_fst::Regex;
|
||||
|
||||
use crate::error::TantivyError;
|
||||
use crate::query::{AutomatonWeight, Query, Weight};
|
||||
use crate::query::{AutomatonWeight, EnableScoring, Query, Weight};
|
||||
use crate::schema::Field;
|
||||
use crate::Searcher;
|
||||
|
||||
/// A Regex Query matches all of the documents
|
||||
/// containing a specific term that matches
|
||||
@@ -82,11 +81,7 @@ impl RegexQuery {
|
||||
}
|
||||
|
||||
impl Query for RegexQuery {
|
||||
fn weight(
|
||||
&self,
|
||||
_searcher: &Searcher,
|
||||
_scoring_enabled: bool,
|
||||
) -> crate::Result<Box<dyn Weight>> {
|
||||
fn weight(&self, _enabled_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(self.specialized_weight()))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -4,9 +4,9 @@ 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};
|
||||
use crate::query::{AutomatonWeight, BooleanWeight, EnableScoring, Occur, Query, Weight};
|
||||
use crate::schema::{Field, Schema};
|
||||
use crate::Term;
|
||||
|
||||
/// A Term Set Query matches all of the documents containing any of the Term provided
|
||||
#[derive(Debug, Clone)]
|
||||
@@ -32,12 +32,12 @@ impl TermSetQuery {
|
||||
|
||||
fn specialized_weight(
|
||||
&self,
|
||||
searcher: &Searcher,
|
||||
schema: &Schema,
|
||||
) -> 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_entry = 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());
|
||||
@@ -65,12 +65,8 @@ impl TermSetQuery {
|
||||
}
|
||||
|
||||
impl Query for TermSetQuery {
|
||||
fn weight(
|
||||
&self,
|
||||
searcher: &Searcher,
|
||||
_scoring_enabled: bool,
|
||||
) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(self.specialized_weight(searcher)?))
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(self.specialized_weight(enable_scoring.schema())?))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -105,9 +101,8 @@ impl Automaton for SetDfaWrapper {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
use crate::collector::TopDocs;
|
||||
use crate::query::TermSetQuery;
|
||||
use crate::query::{QueryParser, TermSetQuery};
|
||||
use crate::schema::{Schema, TEXT};
|
||||
use crate::{assert_nearly_equals, Index, Term};
|
||||
|
||||
@@ -115,7 +110,7 @@ mod tests {
|
||||
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 field2 = schema_builder.add_text_field("field2", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
{
|
||||
@@ -219,4 +214,31 @@ mod tests {
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_term_set_query_parser() -> crate::Result<()> {
|
||||
let mut schema_builder = Schema::builder();
|
||||
schema_builder.add_text_field("field", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema.clone());
|
||||
let mut index_writer = index.writer_for_tests()?;
|
||||
let field = schema.get_field("field").unwrap();
|
||||
index_writer.add_document(doc!(
|
||||
field => "val1",
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
field => "val2",
|
||||
))?;
|
||||
index_writer.add_document(doc!(
|
||||
field => "val3",
|
||||
))?;
|
||||
index_writer.commit()?;
|
||||
let reader = index.reader()?;
|
||||
let searcher = reader.searcher();
|
||||
let query_parser = QueryParser::for_index(&index, vec![]);
|
||||
let query = query_parser.parse_query("field: IN [val1 val2]")?;
|
||||
let top_docs = searcher.search(&query, &TopDocs::with_limit(3))?;
|
||||
assert_eq!(top_docs.len(), 2);
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
@@ -12,7 +12,7 @@ mod tests {
|
||||
use crate::collector::TopDocs;
|
||||
use crate::docset::DocSet;
|
||||
use crate::postings::compression::COMPRESSION_BLOCK_SIZE;
|
||||
use crate::query::{Query, QueryParser, Scorer, TermQuery};
|
||||
use crate::query::{EnableScoring, Query, QueryParser, Scorer, TermQuery};
|
||||
use crate::schema::{Field, IndexRecordOption, Schema, STRING, TEXT};
|
||||
use crate::{assert_nearly_equals, DocAddress, Index, Term, TERMINATED};
|
||||
|
||||
@@ -34,7 +34,7 @@ mod tests {
|
||||
Term::from_field_text(text_field, "a"),
|
||||
IndexRecordOption::Basic,
|
||||
);
|
||||
let term_weight = term_query.weight(&searcher, true)?;
|
||||
let term_weight = term_query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let mut term_scorer = term_weight.scorer(segment_reader, 1.0)?;
|
||||
assert_eq!(term_scorer.doc(), 0);
|
||||
@@ -62,7 +62,7 @@ mod tests {
|
||||
Term::from_field_text(text_field, "a"),
|
||||
IndexRecordOption::Basic,
|
||||
);
|
||||
let term_weight = term_query.weight(&searcher, true)?;
|
||||
let term_weight = term_query.weight(EnableScoring::Enabled(&searcher))?;
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
let mut term_scorer = term_weight.scorer(segment_reader, 1.0)?;
|
||||
for i in 0u32..COMPRESSION_BLOCK_SIZE as u32 {
|
||||
@@ -158,7 +158,7 @@ mod tests {
|
||||
let term_a = Term::from_field_text(text_field, "a");
|
||||
let term_query = TermQuery::new(term_a, IndexRecordOption::Basic);
|
||||
let searcher = index.reader()?.searcher();
|
||||
let term_weight = term_query.weight(&searcher, false)?;
|
||||
let term_weight = term_query.weight(EnableScoring::Disabled(searcher.schema()))?;
|
||||
let mut term_scorer = term_weight.scorer(searcher.segment_reader(0u32), 1.0)?;
|
||||
assert_eq!(term_scorer.doc(), 0u32);
|
||||
term_scorer.seek(1u32);
|
||||
|
||||
@@ -2,9 +2,9 @@ use std::fmt;
|
||||
|
||||
use super::term_weight::TermWeight;
|
||||
use crate::query::bm25::Bm25Weight;
|
||||
use crate::query::{Explanation, Query, Weight};
|
||||
use crate::query::{EnableScoring, Explanation, Query, Weight};
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::{Searcher, Term};
|
||||
use crate::Term;
|
||||
|
||||
/// A Term query matches all of the documents
|
||||
/// containing a specific term.
|
||||
@@ -87,19 +87,23 @@ impl TermQuery {
|
||||
/// This is useful for optimization purpose.
|
||||
pub fn specialized_weight(
|
||||
&self,
|
||||
searcher: &Searcher,
|
||||
scoring_enabled: bool,
|
||||
enable_scoring: EnableScoring<'_>,
|
||||
) -> crate::Result<TermWeight> {
|
||||
let field_entry = searcher.schema().get_field_entry(self.term.field());
|
||||
let schema = enable_scoring.schema();
|
||||
let field_entry = schema.get_field_entry(self.term.field());
|
||||
if !field_entry.is_indexed() {
|
||||
let error_msg = format!("Field {:?} is not indexed.", field_entry.name());
|
||||
return Err(crate::TantivyError::SchemaError(error_msg));
|
||||
}
|
||||
let bm25_weight = if scoring_enabled {
|
||||
Bm25Weight::for_terms(searcher, &[self.term.clone()])?
|
||||
} else {
|
||||
Bm25Weight::new(Explanation::new("<no score>".to_string(), 1.0f32), 1.0f32)
|
||||
let bm25_weight = match enable_scoring {
|
||||
EnableScoring::Enabled(searcher) => {
|
||||
Bm25Weight::for_terms(searcher, &[self.term.clone()])?
|
||||
}
|
||||
EnableScoring::Disabled(_schema) => {
|
||||
Bm25Weight::new(Explanation::new("<no score>".to_string(), 1.0f32), 1.0f32)
|
||||
}
|
||||
};
|
||||
let scoring_enabled = enable_scoring.is_scoring_enabled();
|
||||
let index_record_option = if scoring_enabled {
|
||||
self.index_record_option
|
||||
} else {
|
||||
@@ -115,10 +119,8 @@ impl TermQuery {
|
||||
}
|
||||
|
||||
impl Query for TermQuery {
|
||||
fn weight(&self, searcher: &Searcher, scoring_enabled: bool) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(
|
||||
self.specialized_weight(searcher, scoring_enabled)?,
|
||||
))
|
||||
fn weight(&self, enable_scoring: EnableScoring<'_>) -> crate::Result<Box<dyn Weight>> {
|
||||
Ok(Box::new(self.specialized_weight(enable_scoring)?))
|
||||
}
|
||||
fn query_terms<'a>(&'a self, visitor: &mut dyn FnMut(&'a Term, bool)) {
|
||||
visitor(&self.term, false);
|
||||
|
||||
@@ -130,7 +130,7 @@ mod tests {
|
||||
use crate::merge_policy::NoMergePolicy;
|
||||
use crate::postings::compression::COMPRESSION_BLOCK_SIZE;
|
||||
use crate::query::term_query::TermScorer;
|
||||
use crate::query::{Bm25Weight, Scorer, TermQuery};
|
||||
use crate::query::{Bm25Weight, EnableScoring, Scorer, TermQuery};
|
||||
use crate::schema::{IndexRecordOption, Schema, TEXT};
|
||||
use crate::{
|
||||
assert_nearly_equals, DocId, DocSet, Index, Score, Searcher, SegmentId, Term, TERMINATED,
|
||||
@@ -250,7 +250,7 @@ mod tests {
|
||||
}
|
||||
|
||||
fn test_block_wand_aux(term_query: &TermQuery, searcher: &Searcher) -> crate::Result<()> {
|
||||
let term_weight = term_query.specialized_weight(searcher, true)?;
|
||||
let term_weight = term_query.specialized_weight(EnableScoring::Enabled(searcher))?;
|
||||
for reader in searcher.segment_readers() {
|
||||
let mut block_max_scores = vec![];
|
||||
let mut block_max_scores_b = vec![];
|
||||
|
||||
@@ -5,7 +5,7 @@ use crate::fieldnorm::FieldNormReader;
|
||||
use crate::postings::SegmentPostings;
|
||||
use crate::query::bm25::Bm25Weight;
|
||||
use crate::query::explanation::does_not_match;
|
||||
use crate::query::weight::for_each_scorer;
|
||||
use crate::query::weight::{for_each_docset, for_each_scorer};
|
||||
use crate::query::{Explanation, Scorer, Weight};
|
||||
use crate::schema::IndexRecordOption;
|
||||
use crate::{DocId, Score, Term};
|
||||
@@ -56,6 +56,18 @@ impl Weight for TermWeight {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Iterates through all of the document matched by the DocSet
|
||||
/// `DocSet` and push the scored documents to the collector.
|
||||
fn for_each_no_score(
|
||||
&self,
|
||||
reader: &SegmentReader,
|
||||
callback: &mut dyn FnMut(DocId),
|
||||
) -> crate::Result<()> {
|
||||
let mut scorer = self.specialized_scorer(reader, 1.0)?;
|
||||
for_each_docset(&mut scorer, callback);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Calls `callback` with all of the `(doc, score)` for which score
|
||||
/// is exceeding a given threshold.
|
||||
///
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user