meilisearch/src/index.rs

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6.0 KiB
Rust
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use std::borrow::Cow;
use std::path::Path;
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use anyhow::Context;
use heed::types::*;
use heed::{PolyDatabase, Database};
use roaring::RoaringBitmap;
use crate::Search;
use crate::{BEU32, DocumentId};
use crate::fields_ids_map::FieldsIdsMap;
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use crate::{
RoaringBitmapCodec, BEU32StrCodec, StrStrU8Codec, ObkvCodec,
BoRoaringBitmapCodec, CboRoaringBitmapCodec,
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};
pub const WORDS_FST_KEY: &str = "words-fst";
pub const FIELDS_IDS_MAP_KEY: &str = "fields-ids-map";
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pub const DOCUMENTS_IDS_KEY: &str = "documents-ids";
pub const USERS_IDS_DOCUMENTS_IDS_KEY: &str = "users-ids-documents-ids";
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#[derive(Clone)]
pub struct Index {
/// The LMDB environment which this index is associated with.
pub env: heed::Env,
/// Contains many different types (e.g. the fields ids map).
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pub main: PolyDatabase,
/// A word and all the documents ids containing the word.
pub word_docids: Database<Str, RoaringBitmapCodec>,
/// Maps a word and a document id (u32) to all the positions where the given word appears.
pub docid_word_positions: Database<BEU32StrCodec, BoRoaringBitmapCodec>,
/// Maps the proximity between a pair of words with all the docids where this relation appears.
pub word_pair_proximity_docids: Database<StrStrU8Codec, CboRoaringBitmapCodec>,
/// Maps the document id to the document as an obkv store.
pub documents: Database<OwnedType<BEU32>, ObkvCodec>,
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}
impl Index {
pub fn new<P: AsRef<Path>>(mut options: heed::EnvOpenOptions, path: P) -> anyhow::Result<Index> {
options.max_dbs(5);
let env = options.open(path)?;
let main = env.create_poly_database(Some("main"))?;
let word_docids = env.create_database(Some("word-docids"))?;
let docid_word_positions = env.create_database(Some("docid-word-positions"))?;
let word_pair_proximity_docids = env.create_database(Some("word-pair-proximity-docids"))?;
let documents = env.create_database(Some("documents"))?;
Ok(Index { env, main, word_docids, docid_word_positions, word_pair_proximity_docids, documents })
}
/// Create a write transaction to be able to write into the index.
pub fn write_txn(&self) -> heed::Result<heed::RwTxn> {
self.env.write_txn()
}
/// Create a read transaction to be able to read the index.
pub fn read_txn(&self) -> heed::Result<heed::RoTxn> {
self.env.read_txn()
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}
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/// Writes the documents ids that corresponds to the user-ids-documents-ids FST.
pub fn put_documents_ids(&self, wtxn: &mut heed::RwTxn, docids: &RoaringBitmap) -> heed::Result<()> {
self.main.put::<_, Str, RoaringBitmapCodec>(wtxn, DOCUMENTS_IDS_KEY, docids)
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}
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/// Returns the internal documents ids.
pub fn documents_ids(&self, rtxn: &heed::RoTxn) -> heed::Result<RoaringBitmap> {
Ok(self.main.get::<_, Str, RoaringBitmapCodec>(rtxn, DOCUMENTS_IDS_KEY)?.unwrap_or_default())
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}
/// Writes the users ids documents ids, a user id is a byte slice (i.e. `[u8]`)
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/// and refers to an internal id (i.e. `u32`).
pub fn put_users_ids_documents_ids<A: AsRef<[u8]>>(&self, wtxn: &mut heed::RwTxn, fst: &fst::Map<A>) -> heed::Result<()> {
self.main.put::<_, Str, ByteSlice>(wtxn, USERS_IDS_DOCUMENTS_IDS_KEY, fst.as_fst().as_bytes())
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}
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/// Returns the user ids documents ids map which associate the user ids (i.e. `[u8]`)
/// with the internal ids (i.e. `u32`).
pub fn users_ids_documents_ids<'t>(&self, rtxn: &'t heed::RoTxn) -> anyhow::Result<fst::Map<Cow<'t, [u8]>>> {
match self.main.get::<_, Str, ByteSlice>(rtxn, USERS_IDS_DOCUMENTS_IDS_KEY)? {
Some(bytes) => Ok(fst::Map::new(bytes)?.map_data(Cow::Borrowed)?),
None => Ok(fst::Map::default().map_data(Cow::Owned)?),
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}
}
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/// Writes the fields ids map which associate the documents keys with an internal field id
/// (i.e. `u8`), this field id is used to identify fields in the obkv documents.
pub fn put_fields_ids_map(&self, wtxn: &mut heed::RwTxn, map: &FieldsIdsMap) -> heed::Result<()> {
self.main.put::<_, Str, SerdeJson<FieldsIdsMap>>(wtxn, FIELDS_IDS_MAP_KEY, map)
}
/// Returns the fields ids map which associate the documents keys with an internal field id
/// (i.e. `u8`), this field id is used to identify fields in the obkv documents.
pub fn fields_ids_map(&self, rtxn: &heed::RoTxn) -> heed::Result<FieldsIdsMap> {
Ok(self.main.get::<_, Str, SerdeJson<FieldsIdsMap>>(rtxn, FIELDS_IDS_MAP_KEY)?.unwrap_or_default())
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}
/// Writes the FST which is the words dictionnary of the engine.
pub fn put_words_fst<A: AsRef<[u8]>>(&self, wtxn: &mut heed::RwTxn, fst: &fst::Set<A>) -> heed::Result<()> {
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self.main.put::<_, Str, ByteSlice>(wtxn, WORDS_FST_KEY, fst.as_fst().as_bytes())
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}
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/// Returns the FST which is the words dictionnary of the engine.
pub fn words_fst<'t>(&self, rtxn: &'t heed::RoTxn) -> anyhow::Result<fst::Set<Cow<'t, [u8]>>> {
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match self.main.get::<_, Str, ByteSlice>(rtxn, WORDS_FST_KEY)? {
Some(bytes) => Ok(fst::Set::new(bytes)?.map_data(Cow::Borrowed)?),
None => Ok(fst::Set::default().map_data(Cow::Owned)?),
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}
}
/// Returns a [`Vec`] of the requested documents. Returns an error if a document is missing.
pub fn documents<'t>(
&self,
rtxn: &'t heed::RoTxn,
ids: impl IntoIterator<Item=DocumentId>,
) -> anyhow::Result<Vec<(DocumentId, obkv::KvReader<'t>)>>
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{
let mut documents = Vec::new();
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for id in ids {
let kv = self.documents.get(rtxn, &BEU32::new(id))?
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.with_context(|| format!("Could not find document {}", id))?;
documents.push((id, kv));
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}
Ok(documents)
}
/// Returns the number of documents indexed in the database.
pub fn number_of_documents(&self, rtxn: &heed::RoTxn) -> anyhow::Result<usize> {
Ok(self.documents_ids(rtxn).map(|docids| docids.len() as usize)?)
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}
pub fn search<'a>(&'a self, rtxn: &'a heed::RoTxn) -> Search<'a> {
Search::new(rtxn, self)
}
}