mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-23 13:10:06 +01:00
Merge #3948
3948: Fix hnsw internal panic by using another library r=ManyTheFish a=Kerollmops This pull request fixes #3923. The issue concerns the `hnsw` crate panicking due to a wrong call to the `[T]::copy_from_slice` function. I decided to switch the library to `instant-distance`, which is maintained [by someone of trust](https://lib.rs/~djc), who maintains a lot of very important crates. - [x] Make Clippy happy with the first commit. - [x] Reproduce the #3923 bug without this patch - [x] Check if the bug disappeared with this PR. - [x] Test with [the Algolia e-commerce dataset](https://www.notion.so/meilisearch/Algolia-Ecommerce-c5fa3b5f23a7485295df7e87306d5859). Co-authored-by: Kerollmops <clement@meilisearch.com>
This commit is contained in:
meili-bors[bot]
GitHub
commit
9e3e69373e
71
Cargo.lock
generated
71
Cargo.lock
generated
@ -1197,12 +1197,6 @@ dependencies = [
|
||||
"winapi",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "doc-comment"
|
||||
version = "0.3.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "fea41bba32d969b513997752735605054bc0dfa92b4c56bf1189f2e174be7a10"
|
||||
|
||||
[[package]]
|
||||
name = "dump"
|
||||
version = "1.3.0"
|
||||
@ -1707,15 +1701,6 @@ dependencies = [
|
||||
"byteorder",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "hashbrown"
|
||||
version = "0.11.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ab5ef0d4909ef3724cc8cce6ccc8572c5c817592e9285f5464f8e86f8bd3726e"
|
||||
dependencies = [
|
||||
"ahash 0.7.6",
|
||||
]
|
||||
|
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[[package]]
|
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name = "hashbrown"
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version = "0.12.3"
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@ -1814,22 +1799,6 @@ dependencies = [
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"digest",
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]
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[[package]]
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name = "hnsw"
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version = "0.11.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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||||
checksum = "2b9740ebf8769ec4ad6762cc951ba18f39bba6dfbc2fbbe46285f7539af79752"
|
||||
dependencies = [
|
||||
"ahash 0.7.6",
|
||||
"hashbrown 0.11.2",
|
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"libm",
|
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"num-traits",
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"rand_core",
|
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"serde",
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"smallvec",
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"space",
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]
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|
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[[package]]
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name = "http"
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version = "0.2.9"
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@ -2008,6 +1977,21 @@ dependencies = [
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"cfg-if",
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]
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[[package]]
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name = "instant-distance"
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version = "0.6.1"
|
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source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "8c619cdaa30bb84088963968bee12a45ea5fbbf355f2c021bcd15589f5ca494a"
|
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dependencies = [
|
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"num_cpus",
|
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"ordered-float",
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"parking_lot",
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"rand",
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"rayon",
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"serde",
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"serde-big-array",
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]
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[[package]]
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name = "io-lifetimes"
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version = "1.0.11"
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@ -2701,9 +2685,9 @@ dependencies = [
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"geoutils",
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"grenad",
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"heed",
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"hnsw",
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"indexmap 1.9.3",
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"insta",
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"instant-distance",
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"itertools",
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"json-depth-checker",
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"levenshtein_automata",
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@ -2727,7 +2711,6 @@ dependencies = [
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"smallstr",
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"smallvec",
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"smartstring",
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"space",
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"tempfile",
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"thiserror",
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"time",
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@ -3607,6 +3590,15 @@ dependencies = [
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"serde_derive",
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]
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[[package]]
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name = "serde-big-array"
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version = "0.5.1"
|
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source = "registry+https://github.com/rust-lang/crates.io-index"
|
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checksum = "11fc7cc2c76d73e0f27ee52abbd64eec84d46f370c88371120433196934e4b7f"
|
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dependencies = [
|
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"serde",
|
||||
]
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[[package]]
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name = "serde-cs"
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version = "0.2.4"
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@ -3756,9 +3748,6 @@ name = "smallvec"
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version = "1.10.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "a507befe795404456341dfab10cef66ead4c041f62b8b11bbb92bffe5d0953e0"
|
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dependencies = [
|
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"serde",
|
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]
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|
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[[package]]
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name = "smartstring"
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@ -3781,16 +3770,6 @@ dependencies = [
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"winapi",
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]
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[[package]]
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name = "space"
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version = "0.17.0"
|
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source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "c5ab9701ae895386d13db622abf411989deff7109b13b46b6173bb4ce5c1d123"
|
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dependencies = [
|
||||
"doc-comment",
|
||||
"num-traits",
|
||||
]
|
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|
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[[package]]
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name = "spin"
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version = "0.5.2"
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@ -472,6 +472,77 @@ pub fn parse_filter(input: Span) -> IResult<FilterCondition> {
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terminated(|input| parse_expression(input, 0), eof)(input)
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}
|
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|
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impl<'a> std::fmt::Display for FilterCondition<'a> {
|
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
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match self {
|
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FilterCondition::Not(filter) => {
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write!(f, "NOT ({filter})")
|
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}
|
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FilterCondition::Condition { fid, op } => {
|
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write!(f, "{fid} {op}")
|
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}
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FilterCondition::In { fid, els } => {
|
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write!(f, "{fid} IN[")?;
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for el in els {
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write!(f, "{el}, ")?;
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}
|
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write!(f, "]")
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}
|
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FilterCondition::Or(els) => {
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write!(f, "OR[")?;
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for el in els {
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write!(f, "{el}, ")?;
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}
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write!(f, "]")
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}
|
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FilterCondition::And(els) => {
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write!(f, "AND[")?;
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for el in els {
|
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write!(f, "{el}, ")?;
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}
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write!(f, "]")
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}
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FilterCondition::GeoLowerThan { point, radius } => {
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write!(f, "_geoRadius({}, {}, {})", point[0], point[1], radius)
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}
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FilterCondition::GeoBoundingBox {
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top_right_point: top_left_point,
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bottom_left_point: bottom_right_point,
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} => {
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write!(
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f,
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"_geoBoundingBox([{}, {}], [{}, {}])",
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top_left_point[0],
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top_left_point[1],
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bottom_right_point[0],
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bottom_right_point[1]
|
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)
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}
|
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}
|
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}
|
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}
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impl<'a> std::fmt::Display for Condition<'a> {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
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match self {
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Condition::GreaterThan(token) => write!(f, "> {token}"),
|
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Condition::GreaterThanOrEqual(token) => write!(f, ">= {token}"),
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Condition::Equal(token) => write!(f, "= {token}"),
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Condition::NotEqual(token) => write!(f, "!= {token}"),
|
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Condition::Null => write!(f, "IS NULL"),
|
||||
Condition::Empty => write!(f, "IS EMPTY"),
|
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Condition::Exists => write!(f, "EXISTS"),
|
||||
Condition::LowerThan(token) => write!(f, "< {token}"),
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Condition::LowerThanOrEqual(token) => write!(f, "<= {token}"),
|
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Condition::Between { from, to } => write!(f, "{from} TO {to}"),
|
||||
}
|
||||
}
|
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}
|
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impl<'a> std::fmt::Display for Token<'a> {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
write!(f, "{{{}}}", self.value())
|
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}
|
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}
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|
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#[cfg(test)]
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pub mod tests {
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use super::*;
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@ -852,74 +923,3 @@ pub mod tests {
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assert_eq!(token.value(), s);
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}
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}
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|
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impl<'a> std::fmt::Display for FilterCondition<'a> {
|
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
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match self {
|
||||
FilterCondition::Not(filter) => {
|
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write!(f, "NOT ({filter})")
|
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}
|
||||
FilterCondition::Condition { fid, op } => {
|
||||
write!(f, "{fid} {op}")
|
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}
|
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FilterCondition::In { fid, els } => {
|
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write!(f, "{fid} IN[")?;
|
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for el in els {
|
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write!(f, "{el}, ")?;
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}
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write!(f, "]")
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}
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FilterCondition::Or(els) => {
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write!(f, "OR[")?;
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for el in els {
|
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write!(f, "{el}, ")?;
|
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}
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write!(f, "]")
|
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}
|
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FilterCondition::And(els) => {
|
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write!(f, "AND[")?;
|
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for el in els {
|
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write!(f, "{el}, ")?;
|
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}
|
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write!(f, "]")
|
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}
|
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FilterCondition::GeoLowerThan { point, radius } => {
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write!(f, "_geoRadius({}, {}, {})", point[0], point[1], radius)
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}
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FilterCondition::GeoBoundingBox {
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top_right_point: top_left_point,
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bottom_left_point: bottom_right_point,
|
||||
} => {
|
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write!(
|
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f,
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"_geoBoundingBox([{}, {}], [{}, {}])",
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top_left_point[0],
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top_left_point[1],
|
||||
bottom_right_point[0],
|
||||
bottom_right_point[1]
|
||||
)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
impl<'a> std::fmt::Display for Condition<'a> {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
match self {
|
||||
Condition::GreaterThan(token) => write!(f, "> {token}"),
|
||||
Condition::GreaterThanOrEqual(token) => write!(f, ">= {token}"),
|
||||
Condition::Equal(token) => write!(f, "= {token}"),
|
||||
Condition::NotEqual(token) => write!(f, "!= {token}"),
|
||||
Condition::Null => write!(f, "IS NULL"),
|
||||
Condition::Empty => write!(f, "IS EMPTY"),
|
||||
Condition::Exists => write!(f, "EXISTS"),
|
||||
Condition::LowerThan(token) => write!(f, "< {token}"),
|
||||
Condition::LowerThanOrEqual(token) => write!(f, "<= {token}"),
|
||||
Condition::Between { from, to } => write!(f, "{from} TO {to}"),
|
||||
}
|
||||
}
|
||||
}
|
||||
impl<'a> std::fmt::Display for Token<'a> {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
write!(f, "{{{}}}", self.value())
|
||||
}
|
||||
}
|
||||
|
||||
@ -199,6 +199,30 @@ macro_rules! snapshot {
|
||||
};
|
||||
}
|
||||
|
||||
/// Create a string from the value by serializing it as Json, optionally
|
||||
/// redacting some parts of it.
|
||||
///
|
||||
/// The second argument to the macro can be an object expression for redaction.
|
||||
/// It's in the form { selector => replacement }. For more information about redactions
|
||||
/// refer to the redactions feature in the `insta` guide.
|
||||
#[macro_export]
|
||||
macro_rules! json_string {
|
||||
($value:expr, {$($k:expr => $v:expr),*$(,)?}) => {
|
||||
{
|
||||
let (_, snap) = meili_snap::insta::_prepare_snapshot_for_redaction!($value, {$($k => $v),*}, Json, File);
|
||||
snap
|
||||
}
|
||||
};
|
||||
($value:expr) => {{
|
||||
let value = meili_snap::insta::_macro_support::serialize_value(
|
||||
&$value,
|
||||
meili_snap::insta::_macro_support::SerializationFormat::Json,
|
||||
meili_snap::insta::_macro_support::SnapshotLocation::File
|
||||
);
|
||||
value
|
||||
}};
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use crate as meili_snap;
|
||||
@ -250,27 +274,3 @@ mod tests {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Create a string from the value by serializing it as Json, optionally
|
||||
/// redacting some parts of it.
|
||||
///
|
||||
/// The second argument to the macro can be an object expression for redaction.
|
||||
/// It's in the form { selector => replacement }. For more information about redactions
|
||||
/// refer to the redactions feature in the `insta` guide.
|
||||
#[macro_export]
|
||||
macro_rules! json_string {
|
||||
($value:expr, {$($k:expr => $v:expr),*$(,)?}) => {
|
||||
{
|
||||
let (_, snap) = meili_snap::insta::_prepare_snapshot_for_redaction!($value, {$($k => $v),*}, Json, File);
|
||||
snap
|
||||
}
|
||||
};
|
||||
($value:expr) => {{
|
||||
let value = meili_snap::insta::_macro_support::serialize_value(
|
||||
&$value,
|
||||
meili_snap::insta::_macro_support::SerializationFormat::Json,
|
||||
meili_snap::insta::_macro_support::SnapshotLocation::File
|
||||
);
|
||||
value
|
||||
}};
|
||||
}
|
||||
|
||||
@ -33,8 +33,8 @@ heed = { git = "https://github.com/meilisearch/heed", tag = "v0.12.6", default-f
|
||||
"lmdb",
|
||||
"sync-read-txn",
|
||||
] }
|
||||
hnsw = { version = "0.11.0", features = ["serde1"] }
|
||||
indexmap = { version = "1.9.3", features = ["serde"] }
|
||||
instant-distance = { version = "0.6.1", features = ["with-serde"] }
|
||||
json-depth-checker = { path = "../json-depth-checker" }
|
||||
levenshtein_automata = { version = "0.2.1", features = ["fst_automaton"] }
|
||||
memmap2 = "0.5.10"
|
||||
@ -48,7 +48,6 @@ rstar = { version = "0.10.0", features = ["serde"] }
|
||||
serde = { version = "1.0.160", features = ["derive"] }
|
||||
serde_json = { version = "1.0.95", features = ["preserve_order"] }
|
||||
slice-group-by = "0.3.0"
|
||||
space = "0.17.0"
|
||||
smallstr = { version = "0.3.0", features = ["serde"] }
|
||||
smallvec = "1.10.0"
|
||||
smartstring = "1.0.1"
|
||||
|
||||
@ -1,20 +1,36 @@
|
||||
use std::ops;
|
||||
|
||||
use instant_distance::Point;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use space::Metric;
|
||||
|
||||
#[derive(Debug, Default, Clone, Copy, Serialize, Deserialize)]
|
||||
pub struct DotProduct;
|
||||
use crate::normalize_vector;
|
||||
|
||||
impl Metric<Vec<f32>> for DotProduct {
|
||||
type Unit = u32;
|
||||
#[derive(Debug, Default, Clone, Serialize, Deserialize)]
|
||||
pub struct NDotProductPoint(Vec<f32>);
|
||||
|
||||
// Following <https://docs.rs/space/0.17.0/space/trait.Metric.html>.
|
||||
//
|
||||
// Here is a playground that validate the ordering of the bit representation of floats in range 0.0..=1.0:
|
||||
// <https://play.rust-lang.org/?version=stable&mode=debug&edition=2021&gist=6c59e31a3cc5036b32edf51e8937b56e>
|
||||
fn distance(&self, a: &Vec<f32>, b: &Vec<f32>) -> Self::Unit {
|
||||
let dist = 1.0 - dot_product_similarity(a, b);
|
||||
impl NDotProductPoint {
|
||||
pub fn new(point: Vec<f32>) -> Self {
|
||||
NDotProductPoint(normalize_vector(point))
|
||||
}
|
||||
|
||||
pub fn into_inner(self) -> Vec<f32> {
|
||||
self.0
|
||||
}
|
||||
}
|
||||
|
||||
impl ops::Deref for NDotProductPoint {
|
||||
type Target = [f32];
|
||||
|
||||
fn deref(&self) -> &Self::Target {
|
||||
self.0.as_slice()
|
||||
}
|
||||
}
|
||||
|
||||
impl Point for NDotProductPoint {
|
||||
fn distance(&self, other: &Self) -> f32 {
|
||||
let dist = 1.0 - dot_product_similarity(&self.0, &other.0);
|
||||
debug_assert!(!dist.is_nan());
|
||||
dist.to_bits()
|
||||
dist
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -8,12 +8,11 @@ use charabia::{Language, Script};
|
||||
use heed::flags::Flags;
|
||||
use heed::types::*;
|
||||
use heed::{CompactionOption, Database, PolyDatabase, RoTxn, RwTxn};
|
||||
use rand_pcg::Pcg32;
|
||||
use roaring::RoaringBitmap;
|
||||
use rstar::RTree;
|
||||
use time::OffsetDateTime;
|
||||
|
||||
use crate::distance::DotProduct;
|
||||
use crate::distance::NDotProductPoint;
|
||||
use crate::error::{InternalError, UserError};
|
||||
use crate::facet::FacetType;
|
||||
use crate::fields_ids_map::FieldsIdsMap;
|
||||
@ -31,7 +30,7 @@ use crate::{
|
||||
};
|
||||
|
||||
/// The HNSW data-structure that we serialize, fill and search in.
|
||||
pub type Hnsw = hnsw::Hnsw<DotProduct, Vec<f32>, Pcg32, 12, 24>;
|
||||
pub type Hnsw = instant_distance::Hnsw<NDotProductPoint>;
|
||||
|
||||
pub const DEFAULT_MIN_WORD_LEN_ONE_TYPO: u8 = 5;
|
||||
pub const DEFAULT_MIN_WORD_LEN_TWO_TYPOS: u8 = 9;
|
||||
|
||||
@ -28,7 +28,7 @@ use db_cache::DatabaseCache;
|
||||
use exact_attribute::ExactAttribute;
|
||||
use graph_based_ranking_rule::{Exactness, Fid, Position, Proximity, Typo};
|
||||
use heed::RoTxn;
|
||||
use hnsw::Searcher;
|
||||
use instant_distance::Search;
|
||||
use interner::{DedupInterner, Interner};
|
||||
pub use logger::visual::VisualSearchLogger;
|
||||
pub use logger::{DefaultSearchLogger, SearchLogger};
|
||||
@ -40,19 +40,18 @@ use ranking_rules::{
|
||||
use resolve_query_graph::{compute_query_graph_docids, PhraseDocIdsCache};
|
||||
use roaring::RoaringBitmap;
|
||||
use sort::Sort;
|
||||
use space::Neighbor;
|
||||
|
||||
use self::distinct::facet_string_values;
|
||||
use self::geo_sort::GeoSort;
|
||||
pub use self::geo_sort::Strategy as GeoSortStrategy;
|
||||
use self::graph_based_ranking_rule::Words;
|
||||
use self::interner::Interned;
|
||||
use crate::distance::NDotProductPoint;
|
||||
use crate::error::FieldIdMapMissingEntry;
|
||||
use crate::score_details::{ScoreDetails, ScoringStrategy};
|
||||
use crate::search::new::distinct::apply_distinct_rule;
|
||||
use crate::{
|
||||
normalize_vector, AscDesc, DocumentId, Filter, Index, Member, Result, TermsMatchingStrategy,
|
||||
UserError, BEU32,
|
||||
AscDesc, DocumentId, Filter, Index, Member, Result, TermsMatchingStrategy, UserError, BEU32,
|
||||
};
|
||||
|
||||
/// A structure used throughout the execution of a search query.
|
||||
@ -445,29 +444,31 @@ pub fn execute_search(
|
||||
check_sort_criteria(ctx, sort_criteria.as_ref())?;
|
||||
|
||||
if let Some(vector) = vector {
|
||||
let mut searcher = Searcher::new();
|
||||
let hnsw = ctx.index.vector_hnsw(ctx.txn)?.unwrap_or_default();
|
||||
let ef = hnsw.len().min(100);
|
||||
let mut dest = vec![Neighbor { index: 0, distance: 0 }; ef];
|
||||
let vector = normalize_vector(vector.clone());
|
||||
let neighbors = hnsw.nearest(&vector, ef, &mut searcher, &mut dest[..]);
|
||||
let mut search = Search::default();
|
||||
let docids = match ctx.index.vector_hnsw(ctx.txn)? {
|
||||
Some(hnsw) => {
|
||||
let vector = NDotProductPoint::new(vector.clone());
|
||||
let neighbors = hnsw.search(&vector, &mut search);
|
||||
|
||||
let mut docids = Vec::new();
|
||||
let mut uniq_docids = RoaringBitmap::new();
|
||||
for Neighbor { index, distance: _ } in neighbors.iter() {
|
||||
let index = BEU32::new(*index as u32);
|
||||
let docid = ctx.index.vector_id_docid.get(ctx.txn, &index)?.unwrap().get();
|
||||
if universe.contains(docid) && uniq_docids.insert(docid) {
|
||||
docids.push(docid);
|
||||
if docids.len() == (from + length) {
|
||||
break;
|
||||
let mut docids = Vec::new();
|
||||
let mut uniq_docids = RoaringBitmap::new();
|
||||
for instant_distance::Item { distance: _, pid, point: _ } in neighbors {
|
||||
let index = BEU32::new(pid.into_inner());
|
||||
let docid = ctx.index.vector_id_docid.get(ctx.txn, &index)?.unwrap().get();
|
||||
if universe.contains(docid) && uniq_docids.insert(docid) {
|
||||
docids.push(docid);
|
||||
if docids.len() == (from + length) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// return the nearest documents that are also part of the candidates
|
||||
// along with a dummy list of scores that are useless in this context.
|
||||
let docids: Vec<_> = docids.into_iter().skip(from).take(length).collect();
|
||||
// return the nearest documents that are also part of the candidates
|
||||
// along with a dummy list of scores that are useless in this context.
|
||||
docids.into_iter().skip(from).take(length).collect()
|
||||
}
|
||||
None => Vec::new(),
|
||||
};
|
||||
|
||||
return Ok(PartialSearchResult {
|
||||
candidates: universe,
|
||||
|
||||
@ -4,10 +4,9 @@ use std::collections::{BTreeSet, HashMap, HashSet};
|
||||
use fst::IntoStreamer;
|
||||
use heed::types::{ByteSlice, DecodeIgnore, Str, UnalignedSlice};
|
||||
use heed::{BytesDecode, BytesEncode, Database, RwIter};
|
||||
use hnsw::Searcher;
|
||||
use instant_distance::PointId;
|
||||
use roaring::RoaringBitmap;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use space::KnnPoints;
|
||||
use time::OffsetDateTime;
|
||||
|
||||
use super::facet::delete::FacetsDelete;
|
||||
@ -436,24 +435,24 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
|
||||
|
||||
// An ugly and slow way to remove the vectors from the HNSW
|
||||
// It basically reconstructs the HNSW from scratch without editing the current one.
|
||||
let current_hnsw = self.index.vector_hnsw(self.wtxn)?.unwrap_or_default();
|
||||
if !current_hnsw.is_empty() {
|
||||
let mut new_hnsw = Hnsw::default();
|
||||
let mut searcher = Searcher::new();
|
||||
let mut new_vector_id_docids = Vec::new();
|
||||
|
||||
if let Some(current_hnsw) = self.index.vector_hnsw(self.wtxn)? {
|
||||
let mut points = Vec::new();
|
||||
let mut docids = Vec::new();
|
||||
for result in vector_id_docid.iter(self.wtxn)? {
|
||||
let (vector_id, docid) = result?;
|
||||
if !self.to_delete_docids.contains(docid.get()) {
|
||||
let vector = current_hnsw.get_point(vector_id.get() as usize).clone();
|
||||
let vector_id = new_hnsw.insert(vector, &mut searcher);
|
||||
new_vector_id_docids.push((vector_id as u32, docid));
|
||||
let pid = PointId::from(vector_id.get());
|
||||
let vector = current_hnsw[pid].clone();
|
||||
points.push(vector);
|
||||
docids.push(docid);
|
||||
}
|
||||
}
|
||||
|
||||
let (new_hnsw, pids) = Hnsw::builder().build_hnsw(points);
|
||||
|
||||
vector_id_docid.clear(self.wtxn)?;
|
||||
for (vector_id, docid) in new_vector_id_docids {
|
||||
vector_id_docid.put(self.wtxn, &BEU32::new(vector_id), &docid)?;
|
||||
for (pid, docid) in pids.into_iter().zip(docids) {
|
||||
vector_id_docid.put(self.wtxn, &BEU32::new(pid.into_inner()), &docid)?;
|
||||
}
|
||||
self.index.put_vector_hnsw(self.wtxn, &new_hnsw)?;
|
||||
}
|
||||
|
||||
@ -9,22 +9,19 @@ use charabia::{Language, Script};
|
||||
use grenad::MergerBuilder;
|
||||
use heed::types::ByteSlice;
|
||||
use heed::RwTxn;
|
||||
use hnsw::Searcher;
|
||||
use roaring::RoaringBitmap;
|
||||
use space::KnnPoints;
|
||||
|
||||
use super::helpers::{
|
||||
self, merge_ignore_values, serialize_roaring_bitmap, valid_lmdb_key, CursorClonableMmap,
|
||||
};
|
||||
use super::{ClonableMmap, MergeFn};
|
||||
use crate::distance::NDotProductPoint;
|
||||
use crate::error::UserError;
|
||||
use crate::facet::FacetType;
|
||||
use crate::index::Hnsw;
|
||||
use crate::update::facet::FacetsUpdate;
|
||||
use crate::update::index_documents::helpers::{as_cloneable_grenad, try_split_array_at};
|
||||
use crate::{
|
||||
lat_lng_to_xyz, normalize_vector, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index, Result,
|
||||
BEU32,
|
||||
};
|
||||
use crate::{lat_lng_to_xyz, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index, Result, BEU32};
|
||||
|
||||
pub(crate) enum TypedChunk {
|
||||
FieldIdDocidFacetStrings(grenad::Reader<CursorClonableMmap>),
|
||||
@ -230,17 +227,20 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
index.put_geo_faceted_documents_ids(wtxn, &geo_faceted_docids)?;
|
||||
}
|
||||
TypedChunk::VectorPoints(vector_points) => {
|
||||
let mut hnsw = index.vector_hnsw(wtxn)?.unwrap_or_default();
|
||||
let mut searcher = Searcher::new();
|
||||
|
||||
let mut expected_dimensions = match index.vector_id_docid.iter(wtxn)?.next() {
|
||||
Some(result) => {
|
||||
let (vector_id, _) = result?;
|
||||
Some(hnsw.get_point(vector_id.get() as usize).len())
|
||||
}
|
||||
None => None,
|
||||
let (pids, mut points): (Vec<_>, Vec<_>) = match index.vector_hnsw(wtxn)? {
|
||||
Some(hnsw) => hnsw.iter().map(|(pid, point)| (pid, point.clone())).unzip(),
|
||||
None => Default::default(),
|
||||
};
|
||||
|
||||
// Convert the PointIds into DocumentIds
|
||||
let mut docids = Vec::new();
|
||||
for pid in pids {
|
||||
let docid =
|
||||
index.vector_id_docid.get(wtxn, &BEU32::new(pid.into_inner()))?.unwrap();
|
||||
docids.push(docid.get());
|
||||
}
|
||||
|
||||
let mut expected_dimensions = points.get(0).map(|p| p.len());
|
||||
let mut cursor = vector_points.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
// convert the key back to a u32 (4 bytes)
|
||||
@ -256,12 +256,26 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
return Err(UserError::InvalidVectorDimensions { expected, found })?;
|
||||
}
|
||||
|
||||
let vector = normalize_vector(vector);
|
||||
let vector_id = hnsw.insert(vector, &mut searcher) as u32;
|
||||
index.vector_id_docid.put(wtxn, &BEU32::new(vector_id), &BEU32::new(docid))?;
|
||||
points.push(NDotProductPoint::new(vector));
|
||||
docids.push(docid);
|
||||
}
|
||||
log::debug!("There are {} entries in the HNSW so far", hnsw.len());
|
||||
index.put_vector_hnsw(wtxn, &hnsw)?;
|
||||
|
||||
assert_eq!(docids.len(), points.len());
|
||||
|
||||
let hnsw_length = points.len();
|
||||
let (new_hnsw, pids) = Hnsw::builder().build_hnsw(points);
|
||||
|
||||
index.vector_id_docid.clear(wtxn)?;
|
||||
for (docid, pid) in docids.into_iter().zip(pids) {
|
||||
index.vector_id_docid.put(
|
||||
wtxn,
|
||||
&BEU32::new(pid.into_inner()),
|
||||
&BEU32::new(docid),
|
||||
)?;
|
||||
}
|
||||
|
||||
log::debug!("There are {} entries in the HNSW so far", hnsw_length);
|
||||
index.put_vector_hnsw(wtxn, &new_hnsw)?;
|
||||
}
|
||||
TypedChunk::ScriptLanguageDocids(hash_pair) => {
|
||||
let mut buffer = Vec::new();
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user