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https://github.com/meilisearch/MeiliSearch
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Introduce a DatabaseCache to memorize the addresses of LMDB values
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parent
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119
milli/src/search/new/db_cache.rs
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119
milli/src/search/new/db_cache.rs
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use std::collections::{hash_map::Entry, HashMap};
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use heed::{types::ByteSlice, RoTxn};
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use crate::{Index, Result};
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#[derive(Default)]
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pub struct DatabaseCache<'transaction> {
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pub word_pair_proximity_docids: HashMap<(u8, String, String), Option<&'transaction [u8]>>,
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pub word_prefix_pair_proximity_docids:
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HashMap<(u8, String, String), Option<&'transaction [u8]>>,
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pub word_docids: HashMap<String, Option<&'transaction [u8]>>,
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pub exact_word_docids: HashMap<String, Option<&'transaction [u8]>>,
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pub word_prefix_docids: HashMap<String, Option<&'transaction [u8]>>,
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}
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impl<'transaction> DatabaseCache<'transaction> {
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pub fn get_word_docids(
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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word: &str,
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) -> Result<Option<&'transaction [u8]>> {
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let bitmap_ptr = match self.word_docids.entry(word.to_owned()) {
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Entry::Occupied(bitmap_ptr) => *bitmap_ptr.get(),
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Entry::Vacant(entry) => {
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let bitmap_ptr = index.word_docids.remap_data_type::<ByteSlice>().get(txn, word)?;
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entry.insert(bitmap_ptr);
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bitmap_ptr
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}
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};
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Ok(bitmap_ptr)
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}
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pub fn get_prefix_docids(
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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prefix: &str,
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) -> Result<Option<&'transaction [u8]>> {
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// In the future, this will be a frozen roaring bitmap
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let bitmap_ptr = match self.word_prefix_docids.entry(prefix.to_owned()) {
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Entry::Occupied(bitmap_ptr) => *bitmap_ptr.get(),
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Entry::Vacant(entry) => {
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let bitmap_ptr =
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index.word_prefix_docids.remap_data_type::<ByteSlice>().get(txn, prefix)?;
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entry.insert(bitmap_ptr);
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bitmap_ptr
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}
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};
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Ok(bitmap_ptr)
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}
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pub fn get_word_pair_proximity_docids(
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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word1: &str,
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word2: &str,
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proximity: u8,
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) -> Result<Option<&'transaction [u8]>> {
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let key = (proximity, word1.to_owned(), word2.to_owned());
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match self.word_pair_proximity_docids.entry(key.clone()) {
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Entry::Occupied(bitmap_ptr) => Ok(*bitmap_ptr.get()),
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Entry::Vacant(entry) => {
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// Note that now, we really want to do a prefix iter over (w1, w2) to get all the possible proximities
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// but oh well
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//
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// Actually, we shouldn'transaction greedily access this DB at all
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// a DB (w1, w2) -> [proximities] would be much better
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// We could even have a DB that is (w1) -> set of words such that (w1, w2) are in proximity
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// And if we worked with words encoded as integers, the set of words could be a roaring bitmap
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// Then, to find all the proximities between two list of words, we'd do:
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// inputs:
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// - words1 (roaring bitmap)
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// - words2 (roaring bitmap)
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// output:
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// - [(word1, word2, [proximities])]
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// algo:
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// let mut ouput = vec![];
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// for word1 in words1 {
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// let all_words_in_proximity_of_w1 = pair_words_db.get(word1);
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// let words_in_proximity_of_w1 = all_words_in_proximity_of_w1 & words2;
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// for word2 in words_in_proximity_of_w1 {
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// let proximties = prox_db.get(word1, word2);
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// output.push(word1, word2, proximities);
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// }
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// }
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let bitmap_ptr = index
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.word_pair_proximity_docids
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.remap_data_type::<ByteSlice>()
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.get(txn, &(key.0, key.1.as_str(), key.2.as_str()))?;
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entry.insert(bitmap_ptr);
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Ok(bitmap_ptr)
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}
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}
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}
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pub fn get_word_prefix_pair_proximity_docids(
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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word1: &str,
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prefix2: &str,
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proximity: u8,
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) -> Result<Option<&'transaction [u8]>> {
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let key = (proximity, word1.to_owned(), prefix2.to_owned());
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match self.word_prefix_pair_proximity_docids.entry(key.clone()) {
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Entry::Occupied(bitmap_ptr) => Ok(*bitmap_ptr.get()),
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Entry::Vacant(entry) => {
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let bitmap_ptr = index
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.word_prefix_pair_proximity_docids
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.remap_data_type::<ByteSlice>()
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.get(txn, &(key.0, key.1.as_str(), key.2.as_str()))?;
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entry.insert(bitmap_ptr);
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Ok(bitmap_ptr)
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}
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}
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}
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}
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