mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-24 21:50:07 +01:00
Store documents ids under attribute ids
This commit is contained in:
parent
ce86a43779
commit
f51a63e4ef
@ -1,4 +1,4 @@
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use std::collections::BTreeSet;
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use std::collections::{BTreeSet, BTreeMap};
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use std::convert::TryFrom;
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use std::fs::File;
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use std::path::PathBuf;
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@ -15,7 +15,10 @@ use roaring::RoaringBitmap;
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use slice_group_by::StrGroupBy;
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use structopt::StructOpt;
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use mega_mini_indexer::{FastMap4, SmallVec32, Index, DocumentId};
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use mega_mini_indexer::{FastMap4, SmallVec32, Index, DocumentId, AttributeId};
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const MAX_POSITION: usize = 1000;
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const MAX_ATTRIBUTES: usize = u32::max_value() as usize / MAX_POSITION;
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#[cfg(target_os = "linux")]
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#[global_allocator]
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@ -42,8 +45,9 @@ struct Opt {
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struct Indexed {
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fst: fst::Set<Vec<u8>>,
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postings_ids: FastMap4<SmallVec32, RoaringBitmap>,
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prefix_postings_ids: FastMap4<SmallVec32, RoaringBitmap>,
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postings_attrs: FastMap4<SmallVec32, RoaringBitmap>,
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postings_ids: FastMap4<SmallVec32, FastMap4<AttributeId, RoaringBitmap>>,
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prefix_postings_ids: FastMap4<SmallVec32, FastMap4<AttributeId, RoaringBitmap>>,
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headers: Vec<u8>,
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documents: Vec<(DocumentId, Vec<u8>)>,
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}
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@ -62,36 +66,76 @@ impl MtblKvStore {
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out.add(b"\0words-fst", indexed.fst.as_fst().as_bytes())?;
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// postings ids keys are all prefixed by a '1'
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let mut key = vec![1];
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let mut key = vec![0];
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let mut buffer = Vec::new();
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// We must write the postings attrs
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key[0] = 1;
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// We must write the postings ids in order for mtbl therefore
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// we iterate over the fst to read the words in order
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let mut stream = indexed.fst.stream();
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while let Some(word) = stream.next() {
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if let Some(attrs) = indexed.postings_attrs.remove(word) {
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key.truncate(1);
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key.extend_from_slice(word);
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// We serialize the attrs ids into a buffer
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buffer.clear();
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attrs.serialize_into(&mut buffer)?;
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// that we write under the generated key into MTBL
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out.add(&key, &buffer).unwrap();
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}
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}
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// We must write the postings ids
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key[0] = 2;
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// We must write the postings ids in order for mtbl therefore
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// we iterate over the fst to read the words in order
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let mut stream = indexed.fst.stream();
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while let Some(word) = stream.next() {
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key.truncate(1);
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key.extend_from_slice(word);
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if let Some(ids) = indexed.postings_ids.remove(word) {
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buffer.clear();
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ids.serialize_into(&mut buffer)?;
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out.add(&key, &buffer).unwrap();
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if let Some(attrs) = indexed.postings_ids.remove(word) {
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let attrs: BTreeMap<_, _> = attrs.into_iter().collect();
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// We iterate over all the attributes containing the documents ids
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for (attr, ids) in attrs {
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// we postfix the word by the attribute id
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key.extend_from_slice(&attr.to_be_bytes());
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// We serialize the document ids into a buffer
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buffer.clear();
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ids.serialize_into(&mut buffer)?;
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// that we write under the generated key into MTBL
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out.add(&key, &buffer).unwrap();
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// And cleanup the attribute id afterward (u32 = 4 * u8)
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key.truncate(key.len() - 4);
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}
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}
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}
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// We must write the prefix postings ids
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key[0] = 2;
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key[0] = 3;
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let mut stream = indexed.fst.stream();
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while let Some(prefix) = stream.next() {
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key.truncate(1);
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key.extend_from_slice(prefix);
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if let Some(ids) = indexed.prefix_postings_ids.remove(prefix) {
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buffer.clear();
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ids.serialize_into(&mut buffer)?;
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out.add(&key, &buffer).unwrap();
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if let Some(attrs) = indexed.prefix_postings_ids.remove(prefix) {
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let attrs: BTreeMap<_, _> = attrs.into_iter().collect();
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// We iterate over all the attributes containing the documents ids
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for (attr, ids) in attrs {
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// we postfix the word by the attribute id
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key.extend_from_slice(&attr.to_be_bytes());
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// We serialize the document ids into a buffer
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buffer.clear();
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ids.serialize_into(&mut buffer)?;
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// that we write under the generated key into MTBL
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out.add(&key, &buffer).unwrap();
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// And cleanup the attribute id afterward (u32 = 4 * u8)
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key.truncate(key.len() - 4);
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}
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}
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}
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// postings ids keys are all prefixed by a '2'
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key[0] = 3;
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// postings ids keys are all prefixed by a '4'
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key[0] = 4;
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indexed.documents.sort_unstable();
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for (id, content) in indexed.documents {
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key.truncate(1);
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@ -122,7 +166,8 @@ impl MtblKvStore {
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assert!(values.windows(2).all(|vs| vs[0] == vs[1]));
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Some(values[0].to_vec())
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}
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else if key.starts_with(&[1]) || key.starts_with(&[2]) {
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// We either merge postings attrs, prefix postings or postings ids.
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else if key.starts_with(&[1]) || key.starts_with(&[2]) || key.starts_with(&[3]) {
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let mut first = RoaringBitmap::deserialize_from(values[0].as_slice()).unwrap();
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for value in &values[1..] {
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@ -134,7 +179,7 @@ impl MtblKvStore {
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first.serialize_into(&mut vec).unwrap();
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Some(vec)
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}
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else if key.starts_with(&[3]) {
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else if key.starts_with(&[4]) {
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assert!(values.windows(2).all(|vs| vs[0] == vs[1]));
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Some(values[0].to_vec())
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}
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@ -172,10 +217,8 @@ impl MtblKvStore {
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fn index_csv(mut rdr: csv::Reader<File>) -> anyhow::Result<MtblKvStore> {
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eprintln!("{:?}: Indexing into an Indexed...", rayon::current_thread_index());
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const MAX_POSITION: usize = 1000;
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const MAX_ATTRIBUTES: usize = u32::max_value() as usize / MAX_POSITION;
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let mut document = csv::StringRecord::new();
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let mut postings_attrs = FastMap4::default();
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let mut postings_ids = FastMap4::default();
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let mut prefix_postings_ids = FastMap4::default();
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let mut documents = Vec::new();
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@ -190,18 +233,23 @@ fn index_csv(mut rdr: csv::Reader<File>) -> anyhow::Result<MtblKvStore> {
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let document_id = ID_GENERATOR.fetch_add(1, Ordering::SeqCst);
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let document_id = DocumentId::try_from(document_id).context("Generated id is too big")?;
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for (_attr, content) in document.iter().enumerate().take(MAX_ATTRIBUTES) {
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for (attr, content) in document.iter().enumerate().take(MAX_ATTRIBUTES) {
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for (_pos, word) in simple_alphanumeric_tokens(&content).enumerate().take(MAX_POSITION) {
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if !word.is_empty() && word.len() < 500 { // LMDB limits
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let word = word.cow_to_lowercase();
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postings_attrs.entry(SmallVec32::from(word.as_bytes()))
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.or_insert_with(RoaringBitmap::new).insert(attr as u32); // attributes ids
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postings_ids.entry(SmallVec32::from(word.as_bytes()))
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.or_insert_with(RoaringBitmap::new)
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.insert(document_id);
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.or_insert_with(FastMap4::default).entry(attr as u32) // attributes
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.or_insert_with(RoaringBitmap::new).insert(document_id); // document ids
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if let Some(prefix) = word.as_bytes().get(0..word.len().min(5)) {
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for i in 0..=prefix.len() {
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prefix_postings_ids.entry(SmallVec32::from(&prefix[..i]))
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.or_insert_with(RoaringBitmap::new)
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.insert(document_id);
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.or_insert_with(FastMap4::default).entry(attr as u32) // attributes
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.or_insert_with(RoaringBitmap::new).insert(document_id); // document ids
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}
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}
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}
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@ -223,7 +271,7 @@ fn index_csv(mut rdr: csv::Reader<File>) -> anyhow::Result<MtblKvStore> {
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let new_words_fst = fst::Set::from_iter(new_words.iter().map(SmallVec32::as_ref))?;
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let indexed = Indexed { fst: new_words_fst, headers, postings_ids, prefix_postings_ids, documents };
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let indexed = Indexed { fst: new_words_fst, headers, postings_attrs, postings_ids, prefix_postings_ids, documents };
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eprintln!("{:?}: Indexed created!", rayon::current_thread_index());
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MtblKvStore::from_indexed(indexed)
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@ -241,15 +289,20 @@ fn writer(wtxn: &mut heed::RwTxn, index: &Index, key: &[u8], val: &[u8]) -> anyh
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}
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else if key.starts_with(&[1]) {
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// Write the postings lists
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index.postings_ids.as_polymorph()
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index.postings_attrs.as_polymorph()
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.put::<_, ByteSlice, ByteSlice>(wtxn, &key[1..], val)?;
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}
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else if key.starts_with(&[2]) {
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// Write the postings lists
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index.postings_ids.as_polymorph()
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.put::<_, ByteSlice, ByteSlice>(wtxn, &key[1..], val)?;
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}
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else if key.starts_with(&[3]) {
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// Write the prefix postings lists
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index.prefix_postings_ids.as_polymorph()
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.put::<_, ByteSlice, ByteSlice>(wtxn, &key[1..], val)?;
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}
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else if key.starts_with(&[3]) {
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else if key.starts_with(&[4]) {
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// Write the documents
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index.documents.as_polymorph()
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.put::<_, ByteSlice, ByteSlice>(wtxn, &key[1..], val)?;
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@ -284,6 +337,7 @@ fn main() -> anyhow::Result<()> {
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eprintln!("We are writing into LMDB...");
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let mut wtxn = env.write_txn()?;
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MtblKvStore::from_many(stores, |k, v| writer(&mut wtxn, &index, k, v))?;
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// FIXME Why is this count wrong? (indicates 99 when must return 100)
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let count = index.documents.len(&wtxn)?;
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wtxn.commit()?;
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eprintln!("Wrote {} documents into LMDB", count);
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64
src/bin/stats.rs
Normal file
64
src/bin/stats.rs
Normal file
@ -0,0 +1,64 @@
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use std::io;
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use std::str::FromStr;
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use anyhow::Context;
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use cow_utils::CowUtils;
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use roaring::RoaringBitmap;
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use slice_group_by::StrGroupBy;
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use mega_mini_indexer::{FastMap4, DocumentId, SmallString32};
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const MAX_POSITION: usize = 1000;
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const MAX_ATTRIBUTES: usize = u32::max_value() as usize / MAX_POSITION;
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fn simple_alphanumeric_tokens(string: &str) -> impl Iterator<Item = &str> {
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let is_alphanumeric = |s: &&str| s.chars().next().map_or(false, char::is_alphanumeric);
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string.linear_group_by_key(|c| c.is_alphanumeric()).filter(is_alphanumeric)
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}
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fn main() -> anyhow::Result<()> {
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let mut rdr = csv::Reader::from_reader(io::stdin());
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let mut document = csv::StringRecord::new();
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let mut postings_positions = FastMap4::default();
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let headers = rdr.headers()?;
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let mut writer = csv::WriterBuilder::new().has_headers(false).from_writer(Vec::new());
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writer.write_byte_record(headers.as_byte_record())?;
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let id_pos = headers.iter().position(|h| h == "id").context("missing 'id' header")?;
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while rdr.read_record(&mut document)? {
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let document_id = document.get(id_pos).unwrap();
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let document_id = DocumentId::from_str(document_id).context("invalid document id")?;
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for (attr, content) in document.iter().enumerate().take(MAX_ATTRIBUTES) {
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if attr == id_pos { continue }
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for (pos, word) in simple_alphanumeric_tokens(&content).enumerate().take(MAX_POSITION) {
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if !word.is_empty() && word.len() < 500 { // LMDB limits
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let word = word.cow_to_lowercase();
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let position = (attr * 1000 + pos) as u32;
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postings_positions.entry(SmallString32::from(word.as_ref()))
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.or_insert_with(FastMap4::default).entry(position)
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.or_insert_with(RoaringBitmap::new).insert(document_id);
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}
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}
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}
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}
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// Write the stats to stdout
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let mut wrt = csv::Writer::from_writer(io::stdout());
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wrt.write_record(&["word", "position", "count"])?;
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for (word, positions) in postings_positions {
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let word = word.as_str();
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for (pos, ids) in positions {
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let pos = pos.to_string();
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let count = ids.len().to_string();
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wrt.write_record(&[word, &pos, &count])?;
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}
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}
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Ok(())
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}
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120
src/lib.rs
120
src/lib.rs
@ -11,37 +11,41 @@ use fxhash::FxHasher32;
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use heed::types::*;
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use heed::{PolyDatabase, Database};
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use levenshtein_automata::LevenshteinAutomatonBuilder as LevBuilder;
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use once_cell::sync::OnceCell;
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use once_cell::sync::Lazy;
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use roaring::RoaringBitmap;
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use self::query_tokens::{QueryTokens, QueryToken};
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static LEVDIST0: OnceCell<LevBuilder> = OnceCell::new();
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static LEVDIST1: OnceCell<LevBuilder> = OnceCell::new();
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static LEVDIST2: OnceCell<LevBuilder> = OnceCell::new();
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// Building these factories is not free.
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static LEVDIST0: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(0, true));
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static LEVDIST1: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(1, true));
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static LEVDIST2: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(2, true));
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pub type FastMap4<K, V> = HashMap<K, V, BuildHasherDefault<FxHasher32>>;
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pub type SmallString32 = smallstr::SmallString<[u8; 32]>;
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pub type SmallVec32 = smallvec::SmallVec<[u8; 32]>;
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pub type BEU32 = heed::zerocopy::U32<heed::byteorder::BE>;
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pub type DocumentId = u32;
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pub type AttributeId = u32;
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#[derive(Clone)]
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pub struct Index {
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pub main: PolyDatabase,
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pub postings_ids: Database<Str, ByteSlice>,
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pub prefix_postings_ids: Database<Str, ByteSlice>,
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pub postings_attrs: Database<Str, ByteSlice>,
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pub postings_ids: Database<ByteSlice, ByteSlice>,
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pub prefix_postings_ids: Database<ByteSlice, ByteSlice>,
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pub documents: Database<OwnedType<BEU32>, ByteSlice>,
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}
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impl Index {
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pub fn new(env: &heed::Env) -> heed::Result<Index> {
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let main = env.create_poly_database(None)?;
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let postings_attrs = env.create_database(Some("postings-attrs"))?;
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let postings_ids = env.create_database(Some("postings-ids"))?;
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let prefix_postings_ids = env.create_database(Some("prefix-postings-ids"))?;
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let documents = env.create_database(Some("documents"))?;
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Ok(Index { main, postings_ids, prefix_postings_ids, documents })
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Ok(Index { main, postings_attrs, postings_ids, prefix_postings_ids, documents })
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}
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pub fn headers<'t>(&self, rtxn: &'t heed::RoTxn) -> heed::Result<Option<&'t [u8]>> {
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@ -54,56 +58,90 @@ impl Index {
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None => return Ok(Vec::new()),
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};
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// Building these factories is not free.
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let lev0 = LEVDIST0.get_or_init(|| LevBuilder::new(0, true));
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let lev1 = LEVDIST1.get_or_init(|| LevBuilder::new(1, true));
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let lev2 = LEVDIST2.get_or_init(|| LevBuilder::new(2, true));
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let (lev0, lev1, lev2) = (&LEVDIST0, &LEVDIST1, &LEVDIST2);
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let words: Vec<_> = QueryTokens::new(query).collect();
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let ends_with_whitespace = query.chars().last().map_or(false, char::is_whitespace);
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let number_of_words = words.len();
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let dfas = words.into_iter().enumerate().map(|(i, word)| {
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let dfas: Vec<_> = words.into_iter().enumerate().map(|(i, word)| {
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let (word, quoted) = match word {
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QueryToken::Free(word) => (word.cow_to_lowercase(), false),
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QueryToken::Quoted(word) => (Cow::Borrowed(word), true),
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};
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let is_last = i + 1 == number_of_words;
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let is_prefix = is_last && !ends_with_whitespace && !quoted;
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let dfa = match word.len() {
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0..=4 => if is_prefix { lev0.build_prefix_dfa(&word) } else if quoted { lev0.build_dfa(&word) } else { lev0.build_dfa(&word) },
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5..=8 => if is_prefix { lev1.build_prefix_dfa(&word) } else if quoted { lev0.build_dfa(&word) } else { lev1.build_dfa(&word) },
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_ => if is_prefix { lev2.build_prefix_dfa(&word) } else if quoted { lev0.build_dfa(&word) } else { lev2.build_dfa(&word) },
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let lev = match word.len() {
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0..=4 => if quoted { lev0 } else { lev0 },
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5..=8 => if quoted { lev0 } else { lev1 },
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_ => if quoted { lev0 } else { lev2 },
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};
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(word, is_prefix, dfa)
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});
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let mut intersect_result: Option<RoaringBitmap> = None;
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for (word, is_prefix, dfa) in dfas {
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let before = Instant::now();
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let mut union_result = RoaringBitmap::default();
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let count = if word.len() <= 4 && is_prefix {
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if let Some(ids) = self.prefix_postings_ids.get(rtxn, &word[..word.len().min(5)])? {
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union_result = RoaringBitmap::deserialize_from(ids)?;
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}
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1
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let dfa = if is_prefix {
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lev.build_prefix_dfa(&word)
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||||
} else {
|
||||
lev.build_dfa(&word)
|
||||
};
|
||||
|
||||
(word, is_prefix, dfa)
|
||||
})
|
||||
.collect();
|
||||
|
||||
let mut intersect_attrs: Option<RoaringBitmap> = None;
|
||||
for (_word, _is_prefix, dfa) in &dfas {
|
||||
let mut union_result = RoaringBitmap::default();
|
||||
let mut stream = fst.search(dfa).into_stream();
|
||||
while let Some(word) = stream.next() {
|
||||
let word = std::str::from_utf8(word)?;
|
||||
if let Some(attrs) = self.postings_attrs.get(rtxn, word)? {
|
||||
let right = RoaringBitmap::deserialize_from(attrs)?;
|
||||
union_result.union_with(&right);
|
||||
}
|
||||
}
|
||||
|
||||
match &mut intersect_attrs {
|
||||
Some(left) => left.intersect_with(&union_result),
|
||||
None => intersect_attrs = Some(union_result),
|
||||
}
|
||||
}
|
||||
|
||||
eprintln!("we should only look for documents with attrs {:?}", intersect_attrs);
|
||||
|
||||
let mut intersect_docids: Option<RoaringBitmap> = None;
|
||||
// TODO would be faster to store and use the words
|
||||
// seen in the previous attrs loop
|
||||
for (word, is_prefix, dfa) in &dfas {
|
||||
let mut union_result = RoaringBitmap::default();
|
||||
for attr in intersect_attrs.as_ref().unwrap_or(&RoaringBitmap::default()) {
|
||||
let before = Instant::now();
|
||||
|
||||
let mut count = 0;
|
||||
let mut stream = fst.search(dfa).into_stream();
|
||||
while let Some(word) = stream.next() {
|
||||
count += 1;
|
||||
let word = std::str::from_utf8(word)?;
|
||||
if let Some(ids) = self.postings_ids.get(rtxn, word)? {
|
||||
if word.len() <= 4 && *is_prefix {
|
||||
let mut key = word.as_bytes()[..word.len().min(5)].to_vec();
|
||||
key.extend_from_slice(&attr.to_be_bytes());
|
||||
if let Some(ids) = self.prefix_postings_ids.get(rtxn, &key)? {
|
||||
let right = RoaringBitmap::deserialize_from(ids)?;
|
||||
union_result.union_with(&right);
|
||||
count = 1;
|
||||
}
|
||||
} else {
|
||||
let mut stream = fst.search(dfa).into_stream();
|
||||
while let Some(word) = stream.next() {
|
||||
count += 1;
|
||||
let word = std::str::from_utf8(word)?;
|
||||
let mut key = word.as_bytes().to_vec();
|
||||
key.extend_from_slice(&attr.to_be_bytes());
|
||||
if let Some(ids) = self.postings_ids.get(rtxn, &key)? {
|
||||
let right = RoaringBitmap::deserialize_from(ids)?;
|
||||
union_result.union_with(&right);
|
||||
}
|
||||
}
|
||||
}
|
||||
count
|
||||
};
|
||||
eprintln!("with {:?} words union for {:?} gives {:?} took {:.02?}",
|
||||
count, word, union_result.len(), before.elapsed());
|
||||
|
||||
match &mut intersect_result {
|
||||
eprintln!("with {:?} similar words (for attr {}) union for {:?} gives {:?} took {:.02?}",
|
||||
count, attr, word, union_result.len(), before.elapsed());
|
||||
}
|
||||
|
||||
match &mut intersect_docids {
|
||||
Some(left) => {
|
||||
let before = Instant::now();
|
||||
let left_len = left.len();
|
||||
@ -111,12 +149,12 @@ impl Index {
|
||||
eprintln!("intersect between {:?} and {:?} gives {:?} took {:.02?}",
|
||||
left_len, union_result.len(), left.len(), before.elapsed());
|
||||
},
|
||||
None => intersect_result = Some(union_result),
|
||||
None => intersect_docids = Some(union_result),
|
||||
}
|
||||
}
|
||||
|
||||
eprintln!("{} candidates", intersect_result.as_ref().map_or(0, |r| r.len()));
|
||||
eprintln!("{} candidates", intersect_docids.as_ref().map_or(0, |r| r.len()));
|
||||
|
||||
Ok(intersect_result.unwrap_or_default().iter().take(20).collect())
|
||||
Ok(intersect_docids.unwrap_or_default().iter().take(20).collect())
|
||||
}
|
||||
}
|
||||
|
Loading…
x
Reference in New Issue
Block a user