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https://github.com/meilisearch/MeiliSearch
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Introduce the RwIter append heed API
This commit is contained in:
parent
7e7440c431
commit
46ced5c828
9
Cargo.lock
generated
9
Cargo.lock
generated
@ -543,8 +543,7 @@ dependencies = [
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[[package]]
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name = "heed"
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version = "0.8.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "fd7882b766b4be1b90d8ce5ce4c7aca2539b43176a708dbc8e79576dbbdbba93"
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source = "git+https://github.com/Kerollmops/heed?branch=iter-append#e2d49e06d14771c955847fce8898d8fb1cc16c0b"
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dependencies = [
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"byteorder",
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"heed-traits",
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@ -560,14 +559,12 @@ dependencies = [
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[[package]]
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name = "heed-traits"
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version = "0.7.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "b328f6260a7e51bdb0ca6b68e6ea27ee3d11fba5dee930896ee7ff6ad5fc072c"
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source = "git+https://github.com/Kerollmops/heed?branch=iter-append#e2d49e06d14771c955847fce8898d8fb1cc16c0b"
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[[package]]
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name = "heed-types"
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version = "0.7.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "e100387815256b00dbb4f48db990f7fa03e9b88b4a89c2a1661b7d9d77b77c46"
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source = "git+https://github.com/Kerollmops/heed?branch=iter-append#e2d49e06d14771c955847fce8898d8fb1cc16c0b"
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dependencies = [
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"bincode",
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"heed-traits",
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@ -13,7 +13,8 @@ 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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heed = { version = "0.8.0", default-features = false, features = ["lmdb"] }
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# heed = { version = "0.8.0", default-features = false, features = ["lmdb"] }
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heed = { git = "https://github.com/Kerollmops/heed", branch = "iter-append", default-features = false, features = ["lmdb"] }
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jemallocator = "0.3.2"
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levenshtein_automata = { version = "0.2.0", features = ["fst_automaton"] }
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linked-hash-map = "0.5.3"
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@ -2,7 +2,7 @@ use std::collections::hash_map::Entry;
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use std::collections::{HashMap, BTreeSet};
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use std::convert::{TryFrom, TryInto};
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use std::hash::{Hash, BuildHasher};
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use std::{cmp, io};
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use std::io;
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use std::iter::FromIterator;
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use std::path::{Path, PathBuf};
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use std::time::Instant;
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@ -42,7 +42,7 @@ struct Opt {
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database: PathBuf,
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/// CSV file to index.
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csv_file: Option<PathBuf>,
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csv_file: PathBuf,
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}
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fn put_evicted_into_heed<I>(wtxn: &mut heed::RwTxn, index: &Index, iter: I) -> anyhow::Result<()>
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@ -150,7 +150,7 @@ fn index_csv<R: io::Read>(
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}
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}
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if thread_index == 0 {
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if document_id as usize % num_threads == thread_index {
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// We write the document in the database.
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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(document.as_byte_record())?;
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@ -217,18 +217,174 @@ fn compute_words_attributes_docids(wtxn: &mut heed::RwTxn, index: &Index) -> any
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Ok(())
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}
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use std::collections::binary_heap::{BinaryHeap, PeekMut};
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use std::cmp::{Ordering, Reverse};
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// ------------ Value
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struct Value<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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{
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iter: heed::RoIter<'t, KC, DC>,
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value: Option<heed::Result<(KC::DItem, DC::DItem)>>,
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}
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impl<'t, KC, DC> Value<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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{
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fn new(mut iter: heed::RoIter<'t, KC, DC>) -> Option<Value<'t, KC, DC>> {
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iter.next().map(|value| Value { iter, value: Some(value) })
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}
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fn peek_value(&mut self) -> Option<heed::Result<(KC::DItem, DC::DItem)>> {
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std::mem::replace(&mut self.value, self.iter.next())
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}
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}
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impl<'t, KC, DC> Ord for Value<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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KC::DItem: Ord,
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{
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fn cmp(&self, other: &Self) -> Ordering {
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let a = self.value.as_ref().unwrap();
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let b = other.value.as_ref().unwrap();
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match (a, b) {
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(Ok((a, _)), Ok((b, _))) => a.cmp(&b),
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(Err(_), Err(_)) => Ordering::Equal,
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(Err(_), _) => Ordering::Less,
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(_, Err(_)) => Ordering::Greater,
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}
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}
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}
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impl<'t, KC, DC> Eq for Value<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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KC::DItem: Ord,
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{ }
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impl<'t, KC, DC> PartialEq for Value<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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KC::DItem: Ord,
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{
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fn eq(&self, other: &Self) -> bool {
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self.cmp(other) == Ordering::Equal
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}
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}
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impl<'t, KC, DC> PartialOrd for Value<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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KC::DItem: Ord,
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{
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fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
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Some(self.cmp(other))
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}
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}
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// ------------
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struct MergeIter<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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{
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iters: BinaryHeap<Reverse<Value<'t, KC, DC>>>,
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}
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impl<'t, KC, DC> MergeIter<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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KC::DItem: Ord,
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{
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fn new(iters: Vec<heed::RoIter<'t, KC, DC>>) -> MergeIter<'t, KC, DC> {
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let iters = iters.into_iter().filter_map(Value::new).map(Reverse).collect();
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MergeIter { iters }
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}
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}
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impl<'t, KC, DC> Iterator for MergeIter<'t, KC, DC>
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where
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KC: heed::BytesDecode<'t>,
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DC: heed::BytesDecode<'t>,
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KC::DItem: Ord,
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{
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type Item = heed::Result<(KC::DItem, DC::DItem)>;
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fn next(&mut self) -> Option<Self::Item> {
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let mut peek = self.iters.peek_mut()?;
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let result = peek.0.peek_value().unwrap();
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if peek.0.value.is_none() {
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PeekMut::pop(peek);
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}
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Some(result)
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}
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}
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fn merge_databases(
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others: Vec<(usize, Option<TempDir>, Env, Index)>,
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others: Vec<(TempDir, Env, Index)>,
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wtxn: &mut heed::RwTxn,
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index: &Index,
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) -> anyhow::Result<()>
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{
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eprintln!("Merging the temporary databases...");
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let mut fsts = Vec::new();
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for (_i, _dir, env, oindex) in others {
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let rtxn = env.read_txn()?;
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let rtxns: Result<Vec<_>, _> = others.iter().map(|(_, env, _)| env.read_txn()).collect();
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let rtxns = rtxns?;
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// merge the word positions
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let sources: Result<Vec<_>, _> = others.iter().zip(&rtxns).map(|((.., i), t)| i.word_positions.iter(t)).collect();
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let sources = sources?;
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let mut dest = index.word_positions.iter_mut(wtxn)?;
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let before = Instant::now();
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for result in MergeIter::new(sources) {
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let (k, v) = result?;
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dest.append(&k, &v)?;
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}
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eprintln!("Merging the word_positions database took {:.02?}.", before.elapsed());
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drop(dest);
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// merge the word position documents ids
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let sources: Result<Vec<_>, _> = others.iter().zip(&rtxns).map(|((.., i), t)| i.word_position_docids.iter(t)).collect();
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let sources = sources?;
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let mut dest = index.word_position_docids.iter_mut(wtxn)?;
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let before = Instant::now();
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for result in MergeIter::new(sources) {
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let (k, v) = result?;
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dest.append(&k, &v)?;
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}
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eprintln!("Merging the word_position_docids database took {:.02?}.", before.elapsed());
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drop(dest);
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// merge the documents
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let sources: Result<Vec<_>, _> = others.iter().zip(&rtxns).map(|((.., i), t)| {
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i.documents.as_polymorph().iter::<_, ByteSlice, ByteSlice>(t)
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}).collect();
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let sources = sources?;
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let mut dest = index.documents.as_polymorph().iter_mut::<_, ByteSlice, ByteSlice>(wtxn)?;
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let before = Instant::now();
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for result in MergeIter::new(sources) {
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let (k, v) = result?;
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dest.append(&k, &v)?;
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}
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eprintln!("Merging the documents database took {:.02?}.", before.elapsed());
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drop(dest);
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let mut fsts = Vec::new();
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for ((_dir, _env, oindex), rtxn) in others.into_iter().zip(&rtxns) {
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// merge and check the headers are equal
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let headers = oindex.headers(&rtxn)?.context("A database is missing the headers")?;
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match index.headers(wtxn)? {
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@ -240,30 +396,9 @@ fn merge_databases(
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let fst = oindex.fst(&rtxn)?.context("A database is missing its FST")?;
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let fst = fst.map_data(|s| s.to_vec())?;
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fsts.push(fst);
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// merge the words positions
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for result in oindex.word_positions.iter(&rtxn)? {
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let (word, pos) = result?;
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index.word_positions.put(wtxn, word, &pos)?;
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}
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// merge the documents ids by word and position
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for result in oindex.word_position_docids.iter(&rtxn)? {
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let (key, docids) = result?;
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index.word_position_docids.put(wtxn, key, &docids)?;
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}
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// merge the documents ids by word and attribute
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for result in oindex.word_attribute_docids.iter(&rtxn)? {
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let (key, docids) = result?;
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index.word_attribute_docids.put(wtxn, key, &docids)?;
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}
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for result in oindex.documents.iter(&rtxn)? {
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let (id, content) = result?;
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index.documents.put(wtxn, &id, &content)?;
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}
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}
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let before = Instant::now();
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// Merge all the FSTs to create a final one and write it in the final database.
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if let Some(fst) = index.fst(wtxn)? {
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@ -279,6 +414,8 @@ fn merge_databases(
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index.put_fst(wtxn, &fst)?;
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eprintln!("Merging the FSTs took {:.02?}.", before.elapsed());
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Ok(())
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}
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@ -296,55 +433,36 @@ fn open_env_index(path: impl AsRef<Path>) -> anyhow::Result<(Env, Index)> {
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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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match &opt.csv_file {
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Some(path) => {
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std::fs::create_dir_all(&opt.database)?;
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let (env, index) = open_env_index(&opt.database)?;
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let num_threads = rayon::current_num_threads();
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let result: Result<Vec<_>, anyhow::Error> =
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let result: anyhow::Result<_> =
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(0..num_threads).into_par_iter().map(|i| {
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let (dir, env, index) = if i == 0 {
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let (env, index) = open_env_index(&opt.database)?;
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(None, env, index)
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} else {
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let dir = tempfile::tempdir()?;
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let (env, index) = open_env_index(&dir)?;
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(Some(dir), env, index)
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};
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let mut wtxn = env.write_txn()?;
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let rdr = csv::Reader::from_path(path)?;
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let rdr = csv::Reader::from_path(&opt.csv_file)?;
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index_csv(&mut wtxn, rdr, &index, num_threads, i)?;
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wtxn.commit()?;
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Ok((i, dir, env, index))
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Ok((dir, env, index))
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})
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.collect();
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let mut parts = result?;
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parts.sort_unstable_by_key(|&(i, ..)| cmp::Reverse(i));
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let (_, _, env, index) = parts.pop().context("missing base database")?;
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// TODO we can merge databases that are ready to be merged
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// into the final one, without having to wait for all of them.
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// TODO we can reuse an already existing database instead of creating a new one
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// it would be even better to use the first one as it contains the documents.
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let mut wtxn = env.write_txn()?;
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let parts = result?;
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merge_databases(parts, &mut wtxn, &index)?;
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compute_words_attributes_docids(&mut wtxn, &index)?;
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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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},
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None => todo!("support for stdin CSV while indexing in parallel"),
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};
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Ok(())
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}
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