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https://github.com/meilisearch/meilisearch.git
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Merge #3819
3819: Remove the `docid_word_positions` database r=Kerollmops a=loiclec Remove the `docid_word_positions` database, which was only used during deletion operations. In the process, also fixes https://github.com/meilisearch/meilisearch/issues/3816 Co-authored-by: Loïc Lecrenier <loic.lecrenier@icloud.com>
This commit is contained in:
commit
9dcf1da59d
@ -21,10 +21,9 @@ use crate::heed_codec::facet::{
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};
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use crate::heed_codec::{ScriptLanguageCodec, StrBEU16Codec, StrRefCodec};
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use crate::{
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default_criteria, BEU32StrCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec, Criterion,
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DocumentId, ExternalDocumentsIds, FacetDistribution, FieldDistribution, FieldId,
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FieldIdWordCountCodec, GeoPoint, ObkvCodec, Result, RoaringBitmapCodec, RoaringBitmapLenCodec,
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Search, U8StrStrCodec, BEU16, BEU32,
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default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
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FacetDistribution, FieldDistribution, FieldId, FieldIdWordCountCodec, GeoPoint, ObkvCodec,
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Result, RoaringBitmapCodec, RoaringBitmapLenCodec, Search, U8StrStrCodec, BEU16, BEU32,
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};
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pub const DEFAULT_MIN_WORD_LEN_ONE_TYPO: u8 = 5;
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@ -111,9 +110,6 @@ pub struct Index {
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/// A prefix of word and all the documents ids containing this prefix, from attributes for which typos are not allowed.
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pub exact_word_prefix_docids: Database<Str, RoaringBitmapCodec>,
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/// Maps a word and a document id (u32) to all the positions where the given word appears.
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pub docid_word_positions: Database<BEU32StrCodec, BoRoaringBitmapCodec>,
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/// Maps the proximity between a pair of words with all the docids where this relation appears.
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pub word_pair_proximity_docids: Database<U8StrStrCodec, CboRoaringBitmapCodec>,
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/// Maps the proximity between a pair of word and prefix with all the docids where this relation appears.
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@ -177,7 +173,6 @@ impl Index {
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let word_prefix_docids = env.create_database(&mut wtxn, Some(WORD_PREFIX_DOCIDS))?;
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let exact_word_prefix_docids =
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env.create_database(&mut wtxn, Some(EXACT_WORD_PREFIX_DOCIDS))?;
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let docid_word_positions = env.create_database(&mut wtxn, Some(DOCID_WORD_POSITIONS))?;
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let word_pair_proximity_docids =
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env.create_database(&mut wtxn, Some(WORD_PAIR_PROXIMITY_DOCIDS))?;
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let script_language_docids =
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@ -220,7 +215,6 @@ impl Index {
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exact_word_docids,
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word_prefix_docids,
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exact_word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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script_language_docids,
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word_prefix_pair_proximity_docids,
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@ -5,52 +5,6 @@
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#[global_allocator]
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pub static ALLOC: mimalloc::MiMalloc = mimalloc::MiMalloc;
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// #[cfg(test)]
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// pub mod allocator {
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// use std::alloc::{GlobalAlloc, System};
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// use std::sync::atomic::{self, AtomicI64};
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// #[global_allocator]
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// pub static ALLOC: CountingAlloc = CountingAlloc {
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// max_resident: AtomicI64::new(0),
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// resident: AtomicI64::new(0),
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// allocated: AtomicI64::new(0),
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// };
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// pub struct CountingAlloc {
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// pub max_resident: AtomicI64,
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// pub resident: AtomicI64,
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// pub allocated: AtomicI64,
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// }
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// unsafe impl GlobalAlloc for CountingAlloc {
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// unsafe fn alloc(&self, layout: std::alloc::Layout) -> *mut u8 {
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// self.allocated.fetch_add(layout.size() as i64, atomic::Ordering::SeqCst);
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// let old_resident =
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// self.resident.fetch_add(layout.size() as i64, atomic::Ordering::SeqCst);
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// let resident = old_resident + layout.size() as i64;
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// self.max_resident.fetch_max(resident, atomic::Ordering::SeqCst);
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// // if layout.size() > 1_000_000 {
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// // eprintln!(
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// // "allocating {} with new resident size: {resident}",
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// // layout.size() / 1_000_000
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// // );
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// // // let trace = std::backtrace::Backtrace::capture();
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// // // let t = trace.to_string();
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// // // eprintln!("{t}");
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// // }
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// System.alloc(layout)
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// }
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// unsafe fn dealloc(&self, ptr: *mut u8, layout: std::alloc::Layout) {
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// self.resident.fetch_sub(layout.size() as i64, atomic::Ordering::Relaxed);
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// System.dealloc(ptr, layout)
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// }
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// }
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// }
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#[macro_use]
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pub mod documents;
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@ -89,7 +89,6 @@ Create a snapshot test of the given database.
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- `exact_word_docids`
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- `word_prefix_docids`
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- `exact_word_prefix_docids`
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- `docid_word_positions`
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- `word_pair_proximity_docids`
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- `word_prefix_pair_proximity_docids`
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- `word_position_docids`
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@ -217,11 +216,6 @@ pub fn snap_exact_word_prefix_docids(index: &Index) -> String {
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&format!("{s:<16} {}", display_bitmap(&b))
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})
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}
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pub fn snap_docid_word_positions(index: &Index) -> String {
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make_db_snap_from_iter!(index, docid_word_positions, |((idx, s), b)| {
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&format!("{idx:<6} {s:<16} {}", display_bitmap(&b))
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})
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}
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pub fn snap_word_pair_proximity_docids(index: &Index) -> String {
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make_db_snap_from_iter!(index, word_pair_proximity_docids, |((proximity, word1, word2), b)| {
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&format!("{proximity:<2} {word1:<16} {word2:<16} {}", display_bitmap(&b))
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@ -477,9 +471,6 @@ macro_rules! full_snap_of_db {
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($index:ident, exact_word_prefix_docids) => {{
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$crate::snapshot_tests::snap_exact_word_prefix_docids(&$index)
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}};
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($index:ident, docid_word_positions) => {{
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$crate::snapshot_tests::snap_docid_word_positions(&$index)
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}};
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($index:ident, word_pair_proximity_docids) => {{
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$crate::snapshot_tests::snap_word_pair_proximity_docids(&$index)
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}};
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@ -23,7 +23,6 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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exact_word_docids,
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word_prefix_docids,
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exact_word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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word_prefix_pair_proximity_docids,
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prefix_word_pair_proximity_docids,
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@ -80,7 +79,6 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
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exact_word_docids.clear(self.wtxn)?;
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word_prefix_docids.clear(self.wtxn)?;
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exact_word_prefix_docids.clear(self.wtxn)?;
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docid_word_positions.clear(self.wtxn)?;
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word_pair_proximity_docids.clear(self.wtxn)?;
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word_prefix_pair_proximity_docids.clear(self.wtxn)?;
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prefix_word_pair_proximity_docids.clear(self.wtxn)?;
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@ -141,7 +139,6 @@ mod tests {
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assert!(index.word_docids.is_empty(&rtxn).unwrap());
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assert!(index.word_prefix_docids.is_empty(&rtxn).unwrap());
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assert!(index.docid_word_positions.is_empty(&rtxn).unwrap());
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assert!(index.word_pair_proximity_docids.is_empty(&rtxn).unwrap());
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assert!(index.field_id_word_count_docids.is_empty(&rtxn).unwrap());
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assert!(index.word_prefix_pair_proximity_docids.is_empty(&rtxn).unwrap());
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@ -1,5 +1,5 @@
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use std::collections::btree_map::Entry;
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use std::collections::{HashMap, HashSet};
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use std::collections::{BTreeSet, HashMap, HashSet};
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use fst::IntoStreamer;
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use heed::types::{ByteSlice, DecodeIgnore, Str, UnalignedSlice};
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@ -15,8 +15,7 @@ use crate::facet::FacetType;
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use crate::heed_codec::facet::FieldDocIdFacetCodec;
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use crate::heed_codec::CboRoaringBitmapCodec;
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use crate::{
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ExternalDocumentsIds, FieldId, FieldIdMapMissingEntry, Index, Result, RoaringBitmapCodec,
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SmallString32, BEU32,
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ExternalDocumentsIds, FieldId, FieldIdMapMissingEntry, Index, Result, RoaringBitmapCodec, BEU32,
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};
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pub struct DeleteDocuments<'t, 'u, 'i> {
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@ -232,7 +231,6 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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exact_word_docids,
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word_prefix_docids,
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exact_word_prefix_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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field_id_word_count_docids,
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word_prefix_pair_proximity_docids,
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@ -251,23 +249,9 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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facet_id_is_empty_docids,
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documents,
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} = self.index;
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// Retrieve the words contained in the documents.
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let mut words = Vec::new();
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// Remove from the documents database
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for docid in &self.to_delete_docids {
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documents.delete(self.wtxn, &BEU32::new(docid))?;
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// We iterate through the words positions of the document id, retrieve the word and delete the positions.
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// We create an iterator to be able to get the content and delete the key-value itself.
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// It's faster to acquire a cursor to get and delete, as we avoid traversing the LMDB B-Tree two times but only once.
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let mut iter = docid_word_positions.prefix_iter_mut(self.wtxn, &(docid, ""))?;
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while let Some(result) = iter.next() {
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let ((_docid, word), _positions) = result?;
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// This boolean will indicate if we must remove this word from the words FST.
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words.push((SmallString32::from(word), false));
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// safety: we don't keep references from inside the LMDB database.
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unsafe { iter.del_current()? };
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}
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}
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// We acquire the current external documents ids map...
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// Note that its soft-deleted document ids field will be equal to the `to_delete_docids`
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@ -278,42 +262,27 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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let new_external_documents_ids = new_external_documents_ids.into_static();
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self.index.put_external_documents_ids(self.wtxn, &new_external_documents_ids)?;
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// Maybe we can improve the get performance of the words
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// if we sort the words first, keeping the LMDB pages in cache.
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words.sort_unstable();
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let mut words_to_keep = BTreeSet::default();
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let mut words_to_delete = BTreeSet::default();
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// We iterate over the words and delete the documents ids
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// from the word docids database.
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for (word, must_remove) in &mut words {
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remove_from_word_docids(
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self.wtxn,
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word_docids,
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word.as_str(),
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must_remove,
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&self.to_delete_docids,
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)?;
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remove_from_word_docids(
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self.wtxn,
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exact_word_docids,
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word.as_str(),
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must_remove,
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&self.to_delete_docids,
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)?;
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}
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remove_from_word_docids(
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self.wtxn,
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word_docids,
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&self.to_delete_docids,
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&mut words_to_keep,
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&mut words_to_delete,
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)?;
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remove_from_word_docids(
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self.wtxn,
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exact_word_docids,
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&self.to_delete_docids,
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&mut words_to_keep,
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&mut words_to_delete,
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)?;
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// We construct an FST set that contains the words to delete from the words FST.
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let words_to_delete =
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words.iter().filter_map(
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|(word, must_remove)| {
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if *must_remove {
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Some(word.as_str())
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} else {
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None
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}
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},
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);
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let words_to_delete = fst::Set::from_iter(words_to_delete)?;
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let words_to_delete = fst::Set::from_iter(words_to_delete.difference(&words_to_keep))?;
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let new_words_fst = {
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// We retrieve the current words FST from the database.
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@ -532,23 +501,24 @@ fn remove_from_word_prefix_docids(
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fn remove_from_word_docids(
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txn: &mut heed::RwTxn,
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db: &heed::Database<Str, RoaringBitmapCodec>,
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word: &str,
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must_remove: &mut bool,
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to_remove: &RoaringBitmap,
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words_to_keep: &mut BTreeSet<String>,
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words_to_remove: &mut BTreeSet<String>,
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) -> Result<()> {
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// We create an iterator to be able to get the content and delete the word docids.
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// It's faster to acquire a cursor to get and delete or put, as we avoid traversing
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// the LMDB B-Tree two times but only once.
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let mut iter = db.prefix_iter_mut(txn, word)?;
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if let Some((key, mut docids)) = iter.next().transpose()? {
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if key == word {
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let previous_len = docids.len();
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docids -= to_remove;
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if docids.is_empty() {
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// safety: we don't keep references from inside the LMDB database.
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unsafe { iter.del_current()? };
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*must_remove = true;
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} else if docids.len() != previous_len {
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let mut iter = db.iter_mut(txn)?;
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while let Some((key, mut docids)) = iter.next().transpose()? {
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let previous_len = docids.len();
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docids -= to_remove;
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if docids.is_empty() {
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// safety: we don't keep references from inside the LMDB database.
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unsafe { iter.del_current()? };
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words_to_remove.insert(key.to_owned());
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} else {
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words_to_keep.insert(key.to_owned());
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if docids.len() != previous_len {
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let key = key.to_owned();
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// safety: we don't keep references from inside the LMDB database.
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unsafe { iter.put_current(&key, &docids)? };
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@ -627,7 +597,7 @@ mod tests {
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use super::*;
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use crate::index::tests::TempIndex;
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use crate::{db_snap, Filter};
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use crate::{db_snap, Filter, Search};
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|
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fn delete_documents<'t>(
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wtxn: &mut RwTxn<'t, '_>,
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@ -1199,4 +1169,52 @@ mod tests {
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DeletionStrategy::AlwaysSoft,
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);
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}
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#[test]
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fn delete_words_exact_attributes() {
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let index = TempIndex::new();
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|
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index
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.update_settings(|settings| {
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settings.set_primary_key(S("id"));
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settings.set_searchable_fields(vec![S("text"), S("exact")]);
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settings.set_exact_attributes(vec![S("exact")].into_iter().collect());
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})
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.unwrap();
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|
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index
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.add_documents(documents!([
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{ "id": 0, "text": "hello" },
|
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{ "id": 1, "exact": "hello"}
|
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]))
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.unwrap();
|
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db_snap!(index, word_docids, 1, @r###"
|
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hello [0, ]
|
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"###);
|
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db_snap!(index, exact_word_docids, 1, @r###"
|
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hello [1, ]
|
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"###);
|
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db_snap!(index, words_fst, 1, @"300000000000000001084cfcfc2ce1000000016000000090ea47f");
|
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|
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let mut wtxn = index.write_txn().unwrap();
|
||||
let deleted_internal_ids =
|
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delete_documents(&mut wtxn, &index, &["1"], DeletionStrategy::AlwaysHard);
|
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wtxn.commit().unwrap();
|
||||
|
||||
db_snap!(index, word_docids, 2, @r###"
|
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hello [0, ]
|
||||
"###);
|
||||
db_snap!(index, exact_word_docids, 2, @"");
|
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db_snap!(index, words_fst, 2, @"300000000000000001084cfcfc2ce1000000016000000090ea47f");
|
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|
||||
insta::assert_snapshot!(format!("{deleted_internal_ids:?}"), @"[1]");
|
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let txn = index.read_txn().unwrap();
|
||||
let words = index.words_fst(&txn).unwrap().into_stream().into_strs().unwrap();
|
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insta::assert_snapshot!(format!("{words:?}"), @r###"["hello"]"###);
|
||||
|
||||
let mut s = Search::new(&txn, &index);
|
||||
s.query("hello");
|
||||
let crate::SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0]");
|
||||
}
|
||||
}
|
||||
|
@ -325,8 +325,6 @@ fn send_and_extract_flattened_documents_data(
|
||||
// send docid_word_positions_chunk to DB writer
|
||||
let docid_word_positions_chunk =
|
||||
unsafe { as_cloneable_grenad(&docid_word_positions_chunk)? };
|
||||
let _ = lmdb_writer_sx
|
||||
.send(Ok(TypedChunk::DocidWordPositions(docid_word_positions_chunk.clone())));
|
||||
|
||||
let _ =
|
||||
lmdb_writer_sx.send(Ok(TypedChunk::ScriptLanguageDocids(script_language_pair)));
|
||||
|
@ -4,7 +4,6 @@ use std::result::Result as StdResult;
|
||||
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::read_u32_ne_bytes;
|
||||
use crate::heed_codec::CboRoaringBitmapCodec;
|
||||
use crate::update::index_documents::transform::Operation;
|
||||
use crate::Result;
|
||||
@ -22,10 +21,6 @@ pub fn concat_u32s_array<'a>(_key: &[u8], values: &[Cow<'a, [u8]>]) -> Result<Co
|
||||
}
|
||||
}
|
||||
|
||||
pub fn roaring_bitmap_from_u32s_array(slice: &[u8]) -> RoaringBitmap {
|
||||
read_u32_ne_bytes(slice).collect()
|
||||
}
|
||||
|
||||
pub fn serialize_roaring_bitmap(bitmap: &RoaringBitmap, buffer: &mut Vec<u8>) -> io::Result<()> {
|
||||
buffer.clear();
|
||||
buffer.reserve(bitmap.serialized_size());
|
||||
|
@ -14,8 +14,8 @@ pub use grenad_helpers::{
|
||||
};
|
||||
pub use merge_functions::{
|
||||
concat_u32s_array, keep_first, keep_latest_obkv, merge_cbo_roaring_bitmaps,
|
||||
merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs,
|
||||
roaring_bitmap_from_u32s_array, serialize_roaring_bitmap, MergeFn,
|
||||
merge_obkvs_and_operations, merge_roaring_bitmaps, merge_two_obkvs, serialize_roaring_bitmap,
|
||||
MergeFn,
|
||||
};
|
||||
|
||||
use crate::MAX_WORD_LENGTH;
|
||||
|
@ -2513,6 +2513,5 @@ mod tests {
|
||||
|
||||
db_snap!(index, word_fid_docids, 3, @"4c2e2a1832e5802796edc1638136d933");
|
||||
db_snap!(index, word_position_docids, 3, @"74f556b91d161d997a89468b4da1cb8f");
|
||||
db_snap!(index, docid_word_positions, 3, @"5287245332627675740b28bd46e1cde1");
|
||||
}
|
||||
}
|
||||
|
@ -7,24 +7,19 @@ use std::io;
|
||||
use charabia::{Language, Script};
|
||||
use grenad::MergerBuilder;
|
||||
use heed::types::ByteSlice;
|
||||
use heed::{BytesDecode, RwTxn};
|
||||
use heed::RwTxn;
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::helpers::{
|
||||
self, merge_ignore_values, roaring_bitmap_from_u32s_array, serialize_roaring_bitmap,
|
||||
valid_lmdb_key, CursorClonableMmap,
|
||||
self, merge_ignore_values, serialize_roaring_bitmap, valid_lmdb_key, CursorClonableMmap,
|
||||
};
|
||||
use super::{ClonableMmap, MergeFn};
|
||||
use crate::facet::FacetType;
|
||||
use crate::update::facet::FacetsUpdate;
|
||||
use crate::update::index_documents::helpers::as_cloneable_grenad;
|
||||
use crate::{
|
||||
lat_lng_to_xyz, BoRoaringBitmapCodec, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index,
|
||||
Result,
|
||||
};
|
||||
use crate::{lat_lng_to_xyz, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index, Result};
|
||||
|
||||
pub(crate) enum TypedChunk {
|
||||
DocidWordPositions(grenad::Reader<CursorClonableMmap>),
|
||||
FieldIdDocidFacetStrings(grenad::Reader<CursorClonableMmap>),
|
||||
FieldIdDocidFacetNumbers(grenad::Reader<CursorClonableMmap>),
|
||||
Documents(grenad::Reader<CursorClonableMmap>),
|
||||
@ -56,29 +51,6 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
) -> Result<(RoaringBitmap, bool)> {
|
||||
let mut is_merged_database = false;
|
||||
match typed_chunk {
|
||||
TypedChunk::DocidWordPositions(docid_word_positions_iter) => {
|
||||
write_entries_into_database(
|
||||
docid_word_positions_iter,
|
||||
&index.docid_word_positions,
|
||||
wtxn,
|
||||
index_is_empty,
|
||||
|value, buffer| {
|
||||
// ensure that values are unique and ordered
|
||||
let positions = roaring_bitmap_from_u32s_array(value);
|
||||
BoRoaringBitmapCodec::serialize_into(&positions, buffer);
|
||||
Ok(buffer)
|
||||
},
|
||||
|new_values, db_values, buffer| {
|
||||
let new_values = roaring_bitmap_from_u32s_array(new_values);
|
||||
let positions = match BoRoaringBitmapCodec::bytes_decode(db_values) {
|
||||
Some(db_values) => new_values | db_values,
|
||||
None => new_values, // should not happen
|
||||
};
|
||||
BoRoaringBitmapCodec::serialize_into(&positions, buffer);
|
||||
Ok(())
|
||||
},
|
||||
)?;
|
||||
}
|
||||
TypedChunk::Documents(obkv_documents_iter) => {
|
||||
let mut cursor = obkv_documents_iter.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
|
Loading…
Reference in New Issue
Block a user