MeiliSearch/milli/src/update/word_prefix_pair_proximity_docids.rs

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Rust
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use std::collections::HashMap;
use fst::IntoStreamer;
use grenad::CompressionType;
use heed::types::ByteSlice;
use log::debug;
use slice_group_by::GroupBy;
use crate::update::index_documents::{
create_sorter, merge_cbo_roaring_bitmaps, sorter_into_lmdb_database, MergeFn, WriteMethod,
};
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use crate::{Index, Result};
pub struct WordPrefixPairProximityDocids<'t, 'u, 'i> {
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
pub(crate) chunk_compression_type: CompressionType,
pub(crate) chunk_compression_level: Option<u32>,
pub(crate) max_nb_chunks: Option<usize>,
pub(crate) max_memory: Option<usize>,
threshold: u32,
}
impl<'t, 'u, 'i> WordPrefixPairProximityDocids<'t, 'u, 'i> {
pub fn new(
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
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) -> WordPrefixPairProximityDocids<'t, 'u, 'i> {
WordPrefixPairProximityDocids {
wtxn,
index,
chunk_compression_type: CompressionType::None,
chunk_compression_level: None,
max_nb_chunks: None,
max_memory: None,
threshold: 100,
}
}
/// Set the number of words required to make a prefix be part of the words prefixes
/// database. If a word prefix is supposed to match more than this number of words in the
/// dictionnary, therefore this prefix is added to the words prefixes datastructures.
///
/// Default value is 100. This value must be higher than 50 and will be clamped
/// to these bound otherwise.
pub fn threshold(&mut self, value: u32) -> &mut Self {
self.threshold = value.max(50);
self
}
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#[logging_timer::time("WordPrefixPairProximityDocids::{}")]
pub fn execute(self) -> Result<()> {
debug!("Computing and writing the word prefix pair proximity docids into LMDB on disk...");
self.index.word_prefix_pair_proximity_docids.clear(self.wtxn)?;
// Here we create a sorter akin to the previous one.
let mut word_prefix_pair_proximity_docids_sorter = create_sorter(
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merge_cbo_roaring_bitmaps,
self.chunk_compression_type,
self.chunk_compression_level,
self.max_nb_chunks,
self.max_memory,
);
let prefix_fst = self.index.words_prefixes_fst(self.wtxn)?;
let prefix_fst_keys = prefix_fst.into_stream().into_bytes();
let prefix_fst_keys: Vec<_> = prefix_fst_keys
.as_slice()
.linear_group_by_key(|x| std::str::from_utf8(&x).unwrap().chars().nth(0).unwrap())
.collect();
let mut db =
self.index.word_pair_proximity_docids.remap_data_type::<ByteSlice>().iter(self.wtxn)?;
let mut buffer = Vec::new();
let mut current_prefixes: Option<&&[Vec<u8>]> = None;
let mut prefixes_cache = HashMap::new();
while let Some(((w1, w2, prox), data)) = db.next().transpose()? {
current_prefixes = match current_prefixes.take() {
Some(prefixes) if w2.as_bytes().starts_with(&prefixes[0]) => Some(prefixes),
_otherwise => {
write_prefixes_in_sorter(
&mut prefixes_cache,
&mut word_prefix_pair_proximity_docids_sorter,
self.threshold,
)?;
prefix_fst_keys.iter().find(|prefixes| w2.as_bytes().starts_with(&prefixes[0]))
}
};
if let Some(prefixes) = current_prefixes {
buffer.clear();
buffer.extend_from_slice(w1.as_bytes());
buffer.push(0);
for prefix in prefixes.iter().filter(|prefix| w2.as_bytes().starts_with(prefix)) {
buffer.truncate(w1.len() + 1);
buffer.extend_from_slice(prefix);
buffer.push(prox);
match prefixes_cache.get_mut(&buffer) {
Some(value) => value.push(data),
None => {
prefixes_cache.insert(buffer.clone(), vec![data]);
}
}
}
}
}
write_prefixes_in_sorter(
&mut prefixes_cache,
&mut word_prefix_pair_proximity_docids_sorter,
self.threshold,
)?;
drop(prefix_fst);
drop(db);
// We finally write the word prefix pair proximity docids into the LMDB database.
sorter_into_lmdb_database(
self.wtxn,
*self.index.word_prefix_pair_proximity_docids.as_polymorph(),
word_prefix_pair_proximity_docids_sorter,
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merge_cbo_roaring_bitmaps,
WriteMethod::Append,
)?;
Ok(())
}
}
fn write_prefixes_in_sorter(
prefixes: &mut HashMap<Vec<u8>, Vec<&[u8]>>,
sorter: &mut grenad::Sorter<MergeFn>,
min_word_per_prefix: u32,
) -> Result<()> {
for (i, (key, data_slices)) in prefixes.drain().enumerate() {
// if the number of words prefixed by the prefix is higher than the threshold,
// we insert it in the sorter.
if data_slices.len() > min_word_per_prefix as usize {
for data in data_slices {
sorter.insert(&key, data)?;
}
// if the first prefix isn't elligible for insertion,
// then the other prefixes can't be elligible.
} else if i == 0 {
break;
}
}
Ok(())
}