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https://github.com/meilisearch/meilisearch.git
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Support multiple space seperated words
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parent
24587148fd
commit
6c726df9b9
7
Cargo.lock
generated
7
Cargo.lock
generated
@ -93,6 +93,12 @@ dependencies = [
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"unicode-width",
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]
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[[package]]
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name = "cow-utils"
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version = "0.1.2"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "79bb3adfaf5f75d24b01aee375f7555907840fa2800e5ec8fa3b9e2031830173"
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[[package]]
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name = "crc32c"
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version = "0.4.0"
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@ -391,6 +397,7 @@ dependencies = [
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"anyhow",
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"bitpacking",
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"byteorder 1.3.4",
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"cow-utils",
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"csv",
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"fst",
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"fxhash",
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@ -3,11 +3,13 @@ name = "mega-mini-indexer"
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version = "0.1.0"
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authors = ["Kerollmops <clement@meilisearch.com>"]
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edition = "2018"
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default-run = "indexer"
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[dependencies]
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anyhow = "1.0.28"
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bitpacking = "0.8.2"
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byteorder = "1.3.4"
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cow-utils = "0.1.2"
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csv = "1.1.3"
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fst = "0.4.3"
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fxhash = "0.2.1"
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@ -1,27 +1,21 @@
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use std::collections::{HashMap, BTreeSet};
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use std::convert::TryFrom;
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use std::convert::TryInto;
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use std::collections::BTreeSet;
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use std::convert::{TryInto, TryFrom};
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use std::fs::File;
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use std::hash::BuildHasherDefault;
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use std::path::PathBuf;
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use std::sync::atomic::{AtomicUsize, Ordering};
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use anyhow::Context;
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use cow_utils::CowUtils;
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use fst::{Streamer, IntoStreamer};
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use fxhash::FxHasher32;
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use heed::types::*;
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use heed::{EnvOpenOptions, PolyDatabase, Database};
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use oxidized_mtbl::{Reader, ReaderOptions, Writer, Merger, MergerOptions};
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use rayon::prelude::*;
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use roaring::RoaringBitmap;
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use slice_group_by::StrGroupBy;
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use structopt::StructOpt;
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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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use mega_mini_indexer::alphanumeric_tokens;
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use mega_mini_indexer::{FastMap4, SmallVec32, BEU32, DocumentId};
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#[cfg(target_os = "linux")]
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#[global_allocator]
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@ -41,11 +35,6 @@ struct Opt {
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files_to_index: Vec<PathBuf>,
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}
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fn 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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struct Indexed {
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fst: fst::Set<Vec<u8>>,
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postings_ids: FastMap4<SmallVec32, RoaringBitmap>,
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@ -181,6 +170,7 @@ fn index_csv(mut rdr: csv::Reader<File>) -> anyhow::Result<MtblKvStore> {
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for (_attr, content) in document.iter().enumerate().take(MAX_ATTRIBUTES) {
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for (_pos, word) in 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_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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85
src/bin/search.rs
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85
src/bin/search.rs
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@ -0,0 +1,85 @@
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use std::io::{self, Write};
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use std::path::PathBuf;
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use std::time::Instant;
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use cow_utils::CowUtils;
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use heed::types::*;
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use heed::{EnvOpenOptions, Database};
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use roaring::RoaringBitmap;
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use structopt::StructOpt;
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use mega_mini_indexer::alphanumeric_tokens;
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use mega_mini_indexer::BEU32;
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#[derive(Debug, StructOpt)]
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#[structopt(name = "mm-indexer", about = "The server side of the daugt project.")]
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struct Opt {
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/// The database path where the database is located.
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/// It is created if it doesn't already exist.
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#[structopt(long = "db", parse(from_os_str))]
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database: PathBuf,
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/// The query string to search for (doesn't support prefix search yet).
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query: String,
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}
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fn main() -> anyhow::Result<()> {
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let opt = Opt::from_args();
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std::fs::create_dir_all(&opt.database)?;
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let env = EnvOpenOptions::new()
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.map_size(100 * 1024 * 1024 * 1024) // 100 GB
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.max_readers(10)
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.max_dbs(5)
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.open(opt.database)?;
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let main = env.create_poly_database(None)?;
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let postings_ids: Database<Str, ByteSlice> = env.create_database(Some("postings-ids"))?;
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let documents: Database<OwnedType<BEU32>, ByteSlice> = env.create_database(Some("documents"))?;
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let rtxn = env.read_txn()?;
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let before = Instant::now();
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let mut result: Option<RoaringBitmap> = None;
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for word in alphanumeric_tokens(&opt.query) {
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let word = word.cow_to_lowercase();
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match postings_ids.get(&rtxn, &word)? {
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Some(ids) => {
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let before = Instant::now();
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let right = RoaringBitmap::deserialize_from(ids)?;
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eprintln!("deserialized bitmap for {:?} took {:.02?}", word, before.elapsed());
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result = match result.take() {
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Some(mut left) => {
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let before = Instant::now();
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let left_len = left.len();
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left.intersect_with(&right);
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eprintln!("intersect between {:?} and {:?} took {:.02?}",
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left_len, right.len(), before.elapsed());
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Some(left)
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},
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None => Some(right),
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};
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},
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None => result = Some(RoaringBitmap::default()),
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}
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}
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let headers = match main.get::<_, Str, ByteSlice>(&rtxn, "headers")? {
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Some(headers) => headers,
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None => return Ok(()),
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};
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let mut stdout = io::stdout();
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stdout.write_all(&headers)?;
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let total_length = result.as_ref().map_or(0, |x| x.len());
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for id in result.unwrap_or_default().iter().take(20) {
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if let Some(content) = documents.get(&rtxn, &BEU32::new(id))? {
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stdout.write_all(&content)?;
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}
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}
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eprintln!("Took {:.02?} to find {} documents", before.elapsed(), total_length);
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Ok(())
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}
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16
src/lib.rs
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16
src/lib.rs
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@ -0,0 +1,16 @@
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use std::collections::HashMap;
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use std::hash::BuildHasherDefault;
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use fxhash::FxHasher32;
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use slice_group_by::StrGroupBy;
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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 fn 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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