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* feat: prefilter Signed-off-by: usamoi <[email protected]> * docs: fix outdated Signed-off-by: usamoi <[email protected]> * fix: ci lint does not setup pgrx Signed-off-by: usamoi <[email protected]> * fix: broken test Signed-off-by: usamoi <[email protected]> * docs: add cast and fix cosine distance definition Signed-off-by: usamoi <[email protected]> * feat: remove GUC Signed-off-by: usamoi <[email protected]> --------- Signed-off-by: usamoi <[email protected]> Co-authored-by: Jinjing Zhou <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,4 @@ | ||
| [toolchain] | ||
| channel = "nightly-2023-05-09" | ||
| components = ["rustfmt", "clippy"] | ||
| channel = "nightly-2023-08-03" | ||
| components = ["rustfmt", "clippy", "miri"] | ||
| targets = ["x86_64-unknown-linux-gnu"] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,126 @@ | ||
| use super::impls::quantization::*; | ||
| use super::utils::filtered_fixed_heap::FilteredFixedHeap; | ||
| use super::Algo; | ||
| use crate::bgworker::index::IndexOptions; | ||
| use crate::bgworker::storage::Storage; | ||
| use crate::bgworker::storage::StoragePreallocator; | ||
| use crate::bgworker::vectors::Vectors; | ||
| use crate::prelude::*; | ||
| use serde::{Deserialize, Serialize}; | ||
| use std::marker::PhantomData; | ||
| use std::sync::Arc; | ||
| use thiserror::Error; | ||
|
|
||
| #[derive(Debug, Clone, Error, Serialize, Deserialize)] | ||
| pub enum FlatQError { | ||
| #[error("Quantization {0}")] | ||
| Quantization(#[from] QuantizationError), | ||
| } | ||
|
|
||
| #[derive(Debug, Clone, Serialize, Deserialize)] | ||
| pub struct FlatQOptions { | ||
| pub memmap: Memmap, | ||
| pub sample_size: usize, | ||
| } | ||
|
|
||
| pub struct FlatQ<D: DistanceFamily, Q: Quantization> { | ||
| vectors: Arc<Vectors>, | ||
| implementation: QuantizationImpl<Q>, | ||
| _maker: PhantomData<D>, | ||
| } | ||
|
|
||
| impl<D: DistanceFamily, Q: Quantization> Algo for FlatQ<D, Q> { | ||
| type Error = FlatQError; | ||
|
|
||
| type Save = Q; | ||
|
|
||
| fn prebuild( | ||
| storage: &mut StoragePreallocator, | ||
| options: IndexOptions, | ||
| ) -> Result<(), Self::Error> { | ||
| let flat_q_options = options.algorithm.clone().unwrap_flat_q(); | ||
| QuantizationImpl::<Q>::prebuild( | ||
| storage, | ||
| options.dims, | ||
| options.capacity, | ||
| flat_q_options.memmap, | ||
| )?; | ||
| Ok(()) | ||
| } | ||
|
|
||
| fn build( | ||
| storage: &mut Storage, | ||
| options: IndexOptions, | ||
| vectors: Arc<Vectors>, | ||
| n: usize, | ||
| ) -> Result<Self, FlatQError> { | ||
| let flat_q_options = options.algorithm.clone().unwrap_flat_q(); | ||
| let implementation = QuantizationImpl::new( | ||
| storage, | ||
| vectors.clone(), | ||
| options.dims, | ||
| n, | ||
| flat_q_options.sample_size, | ||
| options.capacity, | ||
| flat_q_options.memmap, | ||
| )?; | ||
| Ok(Self { | ||
| vectors, | ||
| implementation, | ||
| _maker: PhantomData, | ||
| }) | ||
| } | ||
|
|
||
| fn save(&self) -> Q { | ||
| self.implementation.save() | ||
| } | ||
|
|
||
| fn load( | ||
| storage: &mut Storage, | ||
| options: IndexOptions, | ||
| vectors: Arc<Vectors>, | ||
| save: Q, | ||
| ) -> Result<Self, FlatQError> { | ||
| let flat_q_options = options.algorithm.clone().unwrap_flat_q(); | ||
| Ok(Self { | ||
| vectors: vectors.clone(), | ||
| implementation: QuantizationImpl::load( | ||
| storage, | ||
| vectors, | ||
| save, | ||
| options.capacity, | ||
| flat_q_options.memmap, | ||
| )?, | ||
| _maker: PhantomData, | ||
| }) | ||
| } | ||
|
|
||
| fn insert(&self, x: usize) -> Result<(), FlatQError> { | ||
| self.implementation.insert(x)?; | ||
| Ok(()) | ||
| } | ||
|
|
||
| fn search<F>( | ||
| &self, | ||
| target: Box<[Scalar]>, | ||
| k: usize, | ||
| filter: F, | ||
| ) -> Result<Vec<(Scalar, u64)>, FlatQError> | ||
| where | ||
| F: FnMut(u64) -> bool, | ||
| { | ||
| let mut result = FilteredFixedHeap::new(k, filter); | ||
| let vector = self.implementation.process(&target); | ||
| for i in 0..self.vectors.len() { | ||
| let this_vector = self.implementation.get_vector(i); | ||
| let this_data = self.vectors.get_data(i); | ||
| let dis = self.implementation.distance(&vector, this_vector); | ||
| result.push((dis, this_data)); | ||
| } | ||
| let mut output = Vec::new(); | ||
| for (i, j) in result.into_sorted_vec().into_iter() { | ||
| output.push((i, j)); | ||
| } | ||
| Ok(output) | ||
| } | ||
| } |
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