snowykami/meilisearch
1
0
Fork 0
mirror of https://github.com/meilisearch/meilisearch.git synced 2024-11-23 10:37:41 +08:00
Code Issues Actions 8 Packages Projects Releases Wiki Activity

Use only one ARC cache based on the words

Browse Source
This commit is contained in:
Kerollmops 2020-07-01 11:19:40 +02:00
parent fc4013a43f
commit 014a25697d
No known key found for this signature in database
GPG Key ID: 92ADA4E935E71FA4
1 changed files with 47 additions and 36 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

83
src/bin/indexer.rs
View File

@ -2,7 +2,6 @@ use std::collections::hash_map::Entry;
use std::collections::{HashMap, BTreeSet};
use std::convert::{TryFrom, TryInto};
use std::io;
use std::ops::BitOr;
use std::path::PathBuf;
use std::sync::atomic::{AtomicUsize, Ordering};
@ -16,7 +15,7 @@ use slice_group_by::StrGroupBy;
use structopt::StructOpt;
use mega_mini_indexer::cache::ArcCache;
use mega_mini_indexer::{BEU32, Index, DocumentId};
use mega_mini_indexer::{BEU32, Index, DocumentId, FastMap4};
const MAX_POSITION: usize = 1000;
const MAX_ATTRIBUTES: usize = u32::max_value() as usize / MAX_POSITION;
@ -47,8 +46,7 @@ struct Opt {
fn index_csv<R: io::Read>(wtxn: &mut heed::RwTxn, mut rdr: csv::Reader<R>, index: &Index) -> anyhow::Result<()> {
eprintln!("Indexing into LMDB...");
let mut word_positions = ArcCache::<_, RoaringBitmap>::new(100_000);
let mut word_position_docids = ArcCache::<_, RoaringBitmap>::new(3_000_000);
let mut words_cache = ArcCache::<_, (RoaringBitmap, FastMap4<_, RoaringBitmap>)>::new(100_000);
// Write the headers into a Vec of bytes.
let headers = rdr.headers()?;
@ -68,33 +66,46 @@ fn index_csv<R: io::Read>(wtxn: &mut heed::RwTxn, mut rdr: csv::Reader<R>, index
let word = word.to_lowercase(); // TODO cow_to_lowercase
let position = (attr * 1000 + pos) as u32;
// ------ merge word positions --------
match word_positions.get_mut(&word) {
Some(ids) => { ids.insert(position); },
None => {
let mut ids = index.word_positions.get(wtxn, &word)?.unwrap_or_default();
match words_cache.get_mut(&word) {
Some((ids, positions)) => {
ids.insert(position);
for (word, ids) in word_positions.insert(word.clone(), ids, RoaringBitmap::bitor) {
index.word_positions.put(wtxn, &word, &ids)?;
}
}
}
// ------ merge word position documents ids --------
let mut key = word.as_bytes().to_vec();
key.extend_from_slice(&position.to_be_bytes());
match word_position_docids.get_mut(&(word.clone(), position)) {
Some(ids) => { ids.insert(position); },
positions.entry(position).or_default().insert(document_id);
},
None => {
let mut ids = index.word_position_docids.get(wtxn, &key)?.unwrap_or_default();
ids.insert(position);
for ((word, position), ids) in word_position_docids.insert((word.clone(), position), ids, RoaringBitmap::bitor) {
let mut key = word.as_bytes().to_vec();
key.extend_from_slice(&position.to_be_bytes());
index.word_position_docids.put(wtxn, &key, &ids)?;
let mut key = word.as_bytes().to_vec();
key.extend_from_slice(&position.to_be_bytes());
let mut words_positions = index.word_positions.get(wtxn, &word)?.unwrap_or_default();
let mut words_position_docids = index.word_position_docids.get(wtxn, &key)?.unwrap_or_default();
words_positions.insert(position);
words_position_docids.insert(document_id);
let mut map = FastMap4::default();
map.insert(position, words_position_docids);
let value = (words_positions, map);
// TODO clean this up
let merge = |(pa, mut pda): (_, FastMap4<_, RoaringBitmap>), (pb, mut pdb): (_, FastMap4<_, RoaringBitmap>)| {
for (pos, dia) in &mut pda {
if let Some(dib) = pdb.remove(pos) {
dia.union_with(&dib);
}
}
pdb.into_iter().for_each(|(pos, map)| drop(pda.insert(pos, map)));
(pa | pb, pda)
};
for (word, (positions, positions_docids)) in words_cache.insert(word.clone(), value, merge) {
index.word_positions.put(wtxn, &word, &positions)?;
for (position, docids) in positions_docids {
let mut key = word.as_bytes().to_vec();
key.extend_from_slice(&position.to_be_bytes());
index.word_position_docids.put(wtxn, &key, &docids)?;
}
}
}
}
@ -109,14 +120,14 @@ fn index_csv<R: io::Read>(wtxn: &mut heed::RwTxn, mut rdr: csv::Reader<R>, index
index.documents.put(wtxn, &BEU32::new(document_id), &document)?;
}
for (word, ids) in &word_positions {
index.word_positions.put(wtxn, word, ids)?;
}
for (word, (positions, positions_docids)) in &words_cache {
index.word_positions.put(wtxn, &word, &positions)?;
for ((word, position), ids) in &word_position_docids {
let mut key = word.as_bytes().to_vec();
key.extend_from_slice(&position.to_be_bytes());
index.word_position_docids.put(wtxn, &key, ids)?;
for (position, docids) in positions_docids {
let mut key = word.as_bytes().to_vec();
key.extend_from_slice(&position.to_be_bytes());
index.word_position_docids.put(wtxn, &key, &docids)?;
}
}
// We store the words from the postings.