use std::borrow::Cow; use std::collections::{HashMap, HashSet}; use std::path::Path; use chrono::{DateTime, Utc}; use heed::flags::Flags; use heed::types::*; use heed::{Database, PolyDatabase, RoTxn, RwTxn}; use roaring::RoaringBitmap; use crate::error::{InternalError, UserError}; use crate::fields_ids_map::FieldsIdsMap; use crate::heed_codec::facet::{ FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec, FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec, }; use crate::{ default_criteria, BEU32StrCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds, FacetDistribution, FieldDistribution, FieldId, FieldIdWordCountCodec, ObkvCodec, Result, RoaringBitmapCodec, RoaringBitmapLenCodec, Search, StrLevelPositionCodec, StrStrU8Codec, BEU32, }; pub mod main_key { pub const CRITERIA_KEY: &str = "criteria"; pub const DISPLAYED_FIELDS_KEY: &str = "displayed-fields"; pub const DISTINCT_FIELD_KEY: &str = "distinct-field-key"; pub const DOCUMENTS_IDS_KEY: &str = "documents-ids"; pub const FILTERABLE_FIELDS_KEY: &str = "filterable-fields"; pub const FIELD_DISTRIBUTION_KEY: &str = "fields-distribution"; pub const FIELDS_IDS_MAP_KEY: &str = "fields-ids-map"; pub const HARD_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "hard-external-documents-ids"; pub const NUMBER_FACETED_DOCUMENTS_IDS_PREFIX: &str = "number-faceted-documents-ids"; pub const PRIMARY_KEY_KEY: &str = "primary-key"; pub const SEARCHABLE_FIELDS_KEY: &str = "searchable-fields"; pub const SOFT_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "soft-external-documents-ids"; pub const STOP_WORDS_KEY: &str = "stop-words"; pub const STRING_FACETED_DOCUMENTS_IDS_PREFIX: &str = "string-faceted-documents-ids"; pub const SYNONYMS_KEY: &str = "synonyms"; pub const WORDS_FST_KEY: &str = "words-fst"; pub const WORDS_PREFIXES_FST_KEY: &str = "words-prefixes-fst"; pub const CREATED_AT_KEY: &str = "created-at"; pub const UPDATED_AT_KEY: &str = "updated-at"; } pub mod db_name { pub const MAIN: &str = "main"; pub const WORD_DOCIDS: &str = "word-docids"; pub const WORD_PREFIX_DOCIDS: &str = "word-prefix-docids"; pub const DOCID_WORD_POSITIONS: &str = "docid-word-positions"; pub const WORD_PAIR_PROXIMITY_DOCIDS: &str = "word-pair-proximity-docids"; pub const WORD_PREFIX_PAIR_PROXIMITY_DOCIDS: &str = "word-prefix-pair-proximity-docids"; pub const WORD_LEVEL_POSITION_DOCIDS: &str = "word-level-position-docids"; pub const WORD_PREFIX_LEVEL_POSITION_DOCIDS: &str = "word-prefix-level-position-docids"; pub const FIELD_ID_WORD_COUNT_DOCIDS: &str = "field-id-word-count-docids"; pub const FACET_ID_F64_DOCIDS: &str = "facet-id-f64-docids"; pub const FACET_ID_STRING_DOCIDS: &str = "facet-id-string-docids"; pub const FIELD_ID_DOCID_FACET_F64S: &str = "field-id-docid-facet-f64s"; pub const FIELD_ID_DOCID_FACET_STRINGS: &str = "field-id-docid-facet-strings"; pub const DOCUMENTS: &str = "documents"; } #[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). pub main: PolyDatabase, /// A word and all the documents ids containing the word. pub word_docids: Database, /// A prefix of word and all the documents ids containing this prefix. pub word_prefix_docids: Database, /// Maps a word and a document id (u32) to all the positions where the given word appears. pub docid_word_positions: Database, /// Maps the proximity between a pair of words with all the docids where this relation appears. pub word_pair_proximity_docids: Database, /// Maps the proximity between a pair of word and prefix with all the docids where this relation appears. pub word_prefix_pair_proximity_docids: Database, /// Maps the word, level and position range with the docids that corresponds to it. pub word_level_position_docids: Database, /// Maps the field id and the word count with the docids that corresponds to it. pub field_id_word_count_docids: Database, /// Maps the level positions of a word prefix with all the docids where this prefix appears. pub word_prefix_level_position_docids: Database, /// Maps the facet field id, level and the number with the docids that corresponds to it. pub facet_id_f64_docids: Database, /// Maps the facet field id and the string with the original string and docids that corresponds to it. pub facet_id_string_docids: Database>, /// Maps the document id, the facet field id and the numbers. pub field_id_docid_facet_f64s: Database, /// Maps the document id, the facet field id and the strings. pub field_id_docid_facet_strings: Database, /// Maps the document id to the document as an obkv store. pub documents: Database, ObkvCodec>, } impl Index { pub fn new>(mut options: heed::EnvOpenOptions, path: P) -> Result { use db_name::*; options.max_dbs(14); unsafe { options.flag(Flags::MdbAlwaysFreePages) }; let env = options.open(path)?; let main = env.create_poly_database(Some(MAIN))?; let word_docids = env.create_database(Some(WORD_DOCIDS))?; let word_prefix_docids = env.create_database(Some(WORD_PREFIX_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 word_prefix_pair_proximity_docids = env.create_database(Some(WORD_PREFIX_PAIR_PROXIMITY_DOCIDS))?; let word_level_position_docids = env.create_database(Some(WORD_LEVEL_POSITION_DOCIDS))?; let field_id_word_count_docids = env.create_database(Some(FIELD_ID_WORD_COUNT_DOCIDS))?; let word_prefix_level_position_docids = env.create_database(Some(WORD_PREFIX_LEVEL_POSITION_DOCIDS))?; let facet_id_f64_docids = env.create_database(Some(FACET_ID_F64_DOCIDS))?; let facet_id_string_docids = env.create_database(Some(FACET_ID_STRING_DOCIDS))?; let field_id_docid_facet_f64s = env.create_database(Some(FIELD_ID_DOCID_FACET_F64S))?; let field_id_docid_facet_strings = env.create_database(Some(FIELD_ID_DOCID_FACET_STRINGS))?; let documents = env.create_database(Some(DOCUMENTS))?; Index::initialize_creation_dates(&env, main)?; Ok(Index { env, main, word_docids, word_prefix_docids, docid_word_positions, word_pair_proximity_docids, word_prefix_pair_proximity_docids, word_level_position_docids, word_prefix_level_position_docids, field_id_word_count_docids, facet_id_f64_docids, facet_id_string_docids, field_id_docid_facet_f64s, field_id_docid_facet_strings, documents, }) } fn initialize_creation_dates(env: &heed::Env, main: PolyDatabase) -> heed::Result<()> { let mut txn = env.write_txn()?; // The db was just created, we update its metadata with the relevant information. if main.get::<_, Str, SerdeJson>>(&txn, main_key::CREATED_AT_KEY)?.is_none() { let now = Utc::now(); main.put::<_, Str, SerdeJson>>(&mut txn, main_key::UPDATED_AT_KEY, &now)?; main.put::<_, Str, SerdeJson>>(&mut txn, main_key::CREATED_AT_KEY, &now)?; txn.commit()?; } Ok(()) } /// Create a write transaction to be able to write into the index. pub fn write_txn(&self) -> heed::Result { self.env.write_txn() } /// Create a read transaction to be able to read the index. pub fn read_txn(&self) -> heed::Result { self.env.read_txn() } /// Returns the canonicalized path where the heed `Env` of this `Index` lives. pub fn path(&self) -> &Path { self.env.path() } /// Returns an `EnvClosingEvent` that can be used to wait for the closing event, /// multiple threads can wait on this event. /// /// Make sure that you drop all the copies of `Index`es you have, env closing are triggered /// when all references are dropped, the last one will eventually close the environment. pub fn prepare_for_closing(self) -> heed::EnvClosingEvent { self.env.prepare_for_closing() } /* documents ids */ /// Writes the documents ids that corresponds to the user-ids-documents-ids FST. pub(crate) fn put_documents_ids( &self, wtxn: &mut RwTxn, docids: &RoaringBitmap, ) -> heed::Result<()> { self.main.put::<_, Str, RoaringBitmapCodec>(wtxn, main_key::DOCUMENTS_IDS_KEY, docids) } /// Returns the internal documents ids. pub fn documents_ids(&self, rtxn: &RoTxn) -> heed::Result { Ok(self .main .get::<_, Str, RoaringBitmapCodec>(rtxn, main_key::DOCUMENTS_IDS_KEY)? .unwrap_or_default()) } /// Returns the number of documents indexed in the database. pub fn number_of_documents(&self, rtxn: &RoTxn) -> Result { let count = self.main.get::<_, Str, RoaringBitmapLenCodec>(rtxn, main_key::DOCUMENTS_IDS_KEY)?; Ok(count.unwrap_or_default()) } /* primary key */ /// Writes the documents primary key, this is the field name that is used to store the id. pub(crate) fn put_primary_key(&self, wtxn: &mut RwTxn, primary_key: &str) -> heed::Result<()> { self.set_updated_at(wtxn, &Utc::now())?; self.main.put::<_, Str, Str>(wtxn, main_key::PRIMARY_KEY_KEY, &primary_key) } /// Deletes the primary key of the documents, this can be done to reset indexes settings. pub(crate) fn delete_primary_key(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::PRIMARY_KEY_KEY) } /// Returns the documents primary key, `None` if it hasn't been defined. pub fn primary_key<'t>(&self, rtxn: &'t RoTxn) -> heed::Result> { self.main.get::<_, Str, Str>(rtxn, main_key::PRIMARY_KEY_KEY) } /* external documents ids */ /// Writes the external documents ids and internal ids (i.e. `u32`). pub(crate) fn put_external_documents_ids<'a>( &self, wtxn: &mut RwTxn, external_documents_ids: &ExternalDocumentsIds<'a>, ) -> heed::Result<()> { let ExternalDocumentsIds { hard, soft } = external_documents_ids; let hard = hard.as_fst().as_bytes(); let soft = soft.as_fst().as_bytes(); self.main.put::<_, Str, ByteSlice>( wtxn, main_key::HARD_EXTERNAL_DOCUMENTS_IDS_KEY, hard, )?; self.main.put::<_, Str, ByteSlice>( wtxn, main_key::SOFT_EXTERNAL_DOCUMENTS_IDS_KEY, soft, )?; Ok(()) } /// Returns the external documents ids map which associate the external ids /// with the internal ids (i.e. `u32`). pub fn external_documents_ids<'t>(&self, rtxn: &'t RoTxn) -> Result> { let hard = self.main.get::<_, Str, ByteSlice>(rtxn, main_key::HARD_EXTERNAL_DOCUMENTS_IDS_KEY)?; let soft = self.main.get::<_, Str, ByteSlice>(rtxn, main_key::SOFT_EXTERNAL_DOCUMENTS_IDS_KEY)?; let hard = match hard { Some(hard) => fst::Map::new(hard)?.map_data(Cow::Borrowed)?, None => fst::Map::default().map_data(Cow::Owned)?, }; let soft = match soft { Some(soft) => fst::Map::new(soft)?.map_data(Cow::Borrowed)?, None => fst::Map::default().map_data(Cow::Owned)?, }; Ok(ExternalDocumentsIds::new(hard, soft)) } /* fields ids map */ /// 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(crate) fn put_fields_ids_map( &self, wtxn: &mut RwTxn, map: &FieldsIdsMap, ) -> heed::Result<()> { self.main.put::<_, Str, SerdeJson>(wtxn, main_key::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: &RoTxn) -> heed::Result { Ok(self .main .get::<_, Str, SerdeJson>(rtxn, main_key::FIELDS_IDS_MAP_KEY)? .unwrap_or_default()) } /* field distribution */ /// Writes the field distribution which associates every field name with /// the number of times it occurs in the documents. pub(crate) fn put_field_distribution( &self, wtxn: &mut RwTxn, distribution: &FieldDistribution, ) -> heed::Result<()> { self.main.put::<_, Str, SerdeJson>( wtxn, main_key::FIELD_DISTRIBUTION_KEY, distribution, ) } /// Returns the field distribution which associates every field name with /// the number of times it occurs in the documents. pub fn field_distribution(&self, rtxn: &RoTxn) -> heed::Result { Ok(self .main .get::<_, Str, SerdeJson>(rtxn, main_key::FIELD_DISTRIBUTION_KEY)? .unwrap_or_default()) } /* displayed fields */ /// Writes the fields that must be displayed in the defined order. /// There must be not be any duplicate field id. pub(crate) fn put_displayed_fields( &self, wtxn: &mut RwTxn, fields: &[&str], ) -> heed::Result<()> { self.main.put::<_, Str, SerdeBincode<&[&str]>>( wtxn, main_key::DISPLAYED_FIELDS_KEY, &fields, ) } /// Deletes the displayed fields ids, this will make the engine to display /// all the documents attributes in the order of the `FieldsIdsMap`. pub(crate) fn delete_displayed_fields(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::DISPLAYED_FIELDS_KEY) } /// Returns the displayed fields in the order they were set by the user. If it returns /// `None` it means that all the attributes are set as displayed in the order of the `FieldsIdsMap`. pub fn displayed_fields<'t>(&self, rtxn: &'t RoTxn) -> heed::Result>> { self.main.get::<_, Str, SerdeBincode>>(rtxn, main_key::DISPLAYED_FIELDS_KEY) } /// Identical to `displayed_fields`, but returns the ids instead. pub fn displayed_fields_ids(&self, rtxn: &RoTxn) -> Result>> { match self.displayed_fields(rtxn)? { Some(fields) => { let fields_ids_map = self.fields_ids_map(rtxn)?; let mut fields_ids = Vec::new(); for name in fields.into_iter() { if let Some(field_id) = fields_ids_map.id(name) { fields_ids.push(field_id); } } Ok(Some(fields_ids)) } None => Ok(None), } } /* searchable fields */ /// Writes the searchable fields, when this list is specified, only these are indexed. pub(crate) fn put_searchable_fields( &self, wtxn: &mut RwTxn, fields: &[&str], ) -> heed::Result<()> { self.main.put::<_, Str, SerdeBincode<&[&str]>>( wtxn, main_key::SEARCHABLE_FIELDS_KEY, &fields, ) } /// Deletes the searchable fields, when no fields are specified, all fields are indexed. pub(crate) fn delete_searchable_fields(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::SEARCHABLE_FIELDS_KEY) } /// Returns the searchable fields, those are the fields that are indexed, /// if the searchable fields aren't there it means that **all** the fields are indexed. pub fn searchable_fields<'t>(&self, rtxn: &'t RoTxn) -> heed::Result>> { self.main.get::<_, Str, SerdeBincode>>(rtxn, main_key::SEARCHABLE_FIELDS_KEY) } /// Identical to `searchable_fields`, but returns the ids instead. pub fn searchable_fields_ids(&self, rtxn: &RoTxn) -> Result>> { match self.searchable_fields(rtxn)? { Some(fields) => { let fields_ids_map = self.fields_ids_map(rtxn)?; let mut fields_ids = Vec::new(); for name in fields { if let Some(field_id) = fields_ids_map.id(name) { fields_ids.push(field_id); } } Ok(Some(fields_ids)) } None => Ok(None), } } /* filterable fields */ /// Writes the filterable fields names in the database. pub(crate) fn put_filterable_fields( &self, wtxn: &mut RwTxn, fields: &HashSet, ) -> heed::Result<()> { self.main.put::<_, Str, SerdeJson<_>>(wtxn, main_key::FILTERABLE_FIELDS_KEY, fields) } /// Deletes the filterable fields ids in the database. pub(crate) fn delete_filterable_fields(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::FILTERABLE_FIELDS_KEY) } /// Returns the filterable fields names. pub fn filterable_fields(&self, rtxn: &RoTxn) -> heed::Result> { Ok(self .main .get::<_, Str, SerdeJson<_>>(rtxn, main_key::FILTERABLE_FIELDS_KEY)? .unwrap_or_default()) } /// Identical to `filterable_fields`, but returns ids instead. pub fn filterable_fields_ids(&self, rtxn: &RoTxn) -> Result> { let fields = self.filterable_fields(rtxn)?; let fields_ids_map = self.fields_ids_map(rtxn)?; let mut fields_ids = HashSet::new(); for name in fields { if let Some(field_id) = fields_ids_map.id(&name) { fields_ids.insert(field_id); } } Ok(fields_ids) } /* faceted documents ids */ /// Returns the faceted fields names. /// /// Faceted fields are the union of all the filterable, distinct, and Asc/Desc fields. pub fn faceted_fields(&self, rtxn: &RoTxn) -> Result> { let filterable_fields = self.filterable_fields(rtxn)?; let distinct_field = self.distinct_field(rtxn)?; let asc_desc_fields = self.criteria(rtxn)?.into_iter().filter_map(|criterion| match criterion { Criterion::Asc(field) | Criterion::Desc(field) => Some(field), _otherwise => None, }); let mut faceted_fields = filterable_fields; faceted_fields.extend(asc_desc_fields); if let Some(field) = distinct_field { faceted_fields.insert(field.to_owned()); } Ok(faceted_fields) } /// Identical to `faceted_fields`, but returns ids instead. pub fn faceted_fields_ids(&self, rtxn: &RoTxn) -> Result> { let fields = self.faceted_fields(rtxn)?; let fields_ids_map = self.fields_ids_map(rtxn)?; let mut fields_ids = HashSet::new(); for name in fields.into_iter() { if let Some(field_id) = fields_ids_map.id(&name) { fields_ids.insert(field_id); } } Ok(fields_ids) } /* faceted documents ids */ /// Writes the documents ids that are faceted with numbers under this field id. pub(crate) fn put_number_faceted_documents_ids( &self, wtxn: &mut RwTxn, field_id: FieldId, docids: &RoaringBitmap, ) -> heed::Result<()> { let mut buffer = [0u8; main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.len() + 2]; buffer[..main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.len()] .copy_from_slice(main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes()); buffer[main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.len()..] .copy_from_slice(&field_id.to_be_bytes()); self.main.put::<_, ByteSlice, RoaringBitmapCodec>(wtxn, &buffer, docids) } /// Retrieve all the documents ids that faceted with numbers under this field id. pub fn number_faceted_documents_ids( &self, rtxn: &RoTxn, field_id: FieldId, ) -> heed::Result { let mut buffer = [0u8; main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.len() + 2]; buffer[..main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.len()] .copy_from_slice(main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes()); buffer[main_key::STRING_FACETED_DOCUMENTS_IDS_PREFIX.len()..] .copy_from_slice(&field_id.to_be_bytes()); match self.main.get::<_, ByteSlice, RoaringBitmapCodec>(rtxn, &buffer)? { Some(docids) => Ok(docids), None => Ok(RoaringBitmap::new()), } } /// Writes the documents ids that are faceted with strings under this field id. pub(crate) fn put_string_faceted_documents_ids( &self, wtxn: &mut RwTxn, field_id: FieldId, docids: &RoaringBitmap, ) -> heed::Result<()> { let mut buffer = [0u8; main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len() + 2]; buffer[..main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len()] .copy_from_slice(main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes()); buffer[main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len()..] .copy_from_slice(&field_id.to_be_bytes()); self.main.put::<_, ByteSlice, RoaringBitmapCodec>(wtxn, &buffer, docids) } /// Retrieve all the documents ids that faceted with strings under this field id. pub fn string_faceted_documents_ids( &self, rtxn: &RoTxn, field_id: FieldId, ) -> heed::Result { let mut buffer = [0u8; main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len() + 1]; buffer[..main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len()] .copy_from_slice(main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.as_bytes()); buffer[main_key::NUMBER_FACETED_DOCUMENTS_IDS_PREFIX.len()..] .copy_from_slice(&field_id.to_be_bytes()); match self.main.get::<_, ByteSlice, RoaringBitmapCodec>(rtxn, &buffer)? { Some(docids) => Ok(docids), None => Ok(RoaringBitmap::new()), } } /* distinct field */ pub(crate) fn put_distinct_field( &self, wtxn: &mut RwTxn, distinct_field: &str, ) -> heed::Result<()> { self.main.put::<_, Str, Str>(wtxn, main_key::DISTINCT_FIELD_KEY, distinct_field) } pub fn distinct_field<'a>(&self, rtxn: &'a RoTxn) -> heed::Result> { self.main.get::<_, Str, Str>(rtxn, main_key::DISTINCT_FIELD_KEY) } pub(crate) fn delete_distinct_field(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::DISTINCT_FIELD_KEY) } /* criteria */ pub(crate) fn put_criteria( &self, wtxn: &mut RwTxn, criteria: &[Criterion], ) -> heed::Result<()> { self.main.put::<_, Str, SerdeJson<&[Criterion]>>(wtxn, main_key::CRITERIA_KEY, &criteria) } pub(crate) fn delete_criteria(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::CRITERIA_KEY) } pub fn criteria(&self, rtxn: &RoTxn) -> heed::Result> { match self.main.get::<_, Str, SerdeJson>>(rtxn, main_key::CRITERIA_KEY)? { Some(criteria) => Ok(criteria), None => Ok(default_criteria()), } } /* words fst */ /// Writes the FST which is the words dictionary of the engine. pub(crate) fn put_words_fst>( &self, wtxn: &mut RwTxn, fst: &fst::Set, ) -> heed::Result<()> { self.main.put::<_, Str, ByteSlice>(wtxn, main_key::WORDS_FST_KEY, fst.as_fst().as_bytes()) } /// Returns the FST which is the words dictionary of the engine. pub fn words_fst<'t>(&self, rtxn: &'t RoTxn) -> Result>> { match self.main.get::<_, Str, ByteSlice>(rtxn, main_key::WORDS_FST_KEY)? { Some(bytes) => Ok(fst::Set::new(bytes)?.map_data(Cow::Borrowed)?), None => Ok(fst::Set::default().map_data(Cow::Owned)?), } } /* stop words */ pub(crate) fn put_stop_words>( &self, wtxn: &mut RwTxn, fst: &fst::Set, ) -> heed::Result<()> { self.main.put::<_, Str, ByteSlice>(wtxn, main_key::STOP_WORDS_KEY, fst.as_fst().as_bytes()) } pub(crate) fn delete_stop_words(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::STOP_WORDS_KEY) } pub fn stop_words<'t>(&self, rtxn: &'t RoTxn) -> Result>> { match self.main.get::<_, Str, ByteSlice>(rtxn, main_key::STOP_WORDS_KEY)? { Some(bytes) => Ok(Some(fst::Set::new(bytes)?)), None => Ok(None), } } /* synonyms */ pub(crate) fn put_synonyms( &self, wtxn: &mut RwTxn, synonyms: &HashMap, Vec>>, ) -> heed::Result<()> { self.main.put::<_, Str, SerdeBincode<_>>(wtxn, main_key::SYNONYMS_KEY, synonyms) } pub(crate) fn delete_synonyms(&self, wtxn: &mut RwTxn) -> heed::Result { self.main.delete::<_, Str>(wtxn, main_key::SYNONYMS_KEY) } pub fn synonyms(&self, rtxn: &RoTxn) -> heed::Result, Vec>>> { Ok(self .main .get::<_, Str, SerdeBincode<_>>(rtxn, main_key::SYNONYMS_KEY)? .unwrap_or_default()) } pub fn words_synonyms>( &self, rtxn: &RoTxn, words: &[S], ) -> heed::Result>>> { let words: Vec<_> = words.iter().map(|s| s.as_ref().to_owned()).collect(); Ok(self.synonyms(rtxn)?.remove(&words)) } /* words prefixes fst */ /// Writes the FST which is the words prefixes dictionnary of the engine. pub(crate) fn put_words_prefixes_fst>( &self, wtxn: &mut RwTxn, fst: &fst::Set, ) -> heed::Result<()> { self.main.put::<_, Str, ByteSlice>( wtxn, main_key::WORDS_PREFIXES_FST_KEY, fst.as_fst().as_bytes(), ) } /// Returns the FST which is the words prefixes dictionnary of the engine. pub fn words_prefixes_fst<'t>(&self, rtxn: &'t RoTxn) -> Result>> { match self.main.get::<_, Str, ByteSlice>(rtxn, main_key::WORDS_PREFIXES_FST_KEY)? { Some(bytes) => Ok(fst::Set::new(bytes)?.map_data(Cow::Borrowed)?), None => Ok(fst::Set::default().map_data(Cow::Owned)?), } } /* word documents count */ /// Returns the number of documents ids associated with the given word, /// it is much faster than deserializing the bitmap and getting the length of it. pub fn word_documents_count(&self, rtxn: &RoTxn, word: &str) -> heed::Result> { self.word_docids.remap_data_type::().get(rtxn, word) } /* documents */ /// Returns a [`Vec`] of the requested documents. Returns an error if a document is missing. pub fn documents<'t>( &self, rtxn: &'t RoTxn, ids: impl IntoIterator, ) -> Result)>> { let mut documents = Vec::new(); for id in ids { let kv = self .documents .get(rtxn, &BEU32::new(id))? .ok_or_else(|| UserError::UnknownInternalDocumentId { document_id: id })?; documents.push((id, kv)); } Ok(documents) } /// Returns an iterator over all the documents in the index. pub fn all_documents<'t>( &self, rtxn: &'t RoTxn, ) -> Result)>>> { Ok(self .documents .iter(rtxn)? // we cast the BEU32 to a DocumentId .map(|document| document.map(|(id, obkv)| (id.get(), obkv)))) } pub fn facets_distribution<'a>(&'a self, rtxn: &'a RoTxn) -> FacetDistribution<'a> { FacetDistribution::new(rtxn, self) } pub fn search<'a>(&'a self, rtxn: &'a RoTxn) -> Search<'a> { Search::new(rtxn, self) } /// Returns the index creation time. pub fn created_at(&self, rtxn: &RoTxn) -> Result> { Ok(self .main .get::<_, Str, SerdeJson>>(rtxn, main_key::CREATED_AT_KEY)? .ok_or(InternalError::DatabaseMissingEntry { db_name: db_name::MAIN, key: Some(main_key::CREATED_AT_KEY), })?) } /// Returns the index last updated time. pub fn updated_at(&self, rtxn: &RoTxn) -> Result> { Ok(self .main .get::<_, Str, SerdeJson>>(rtxn, main_key::UPDATED_AT_KEY)? .ok_or(InternalError::DatabaseMissingEntry { db_name: db_name::MAIN, key: Some(main_key::UPDATED_AT_KEY), })?) } pub(crate) fn set_updated_at( &self, wtxn: &mut RwTxn, time: &DateTime, ) -> heed::Result<()> { self.main.put::<_, Str, SerdeJson>>(wtxn, main_key::UPDATED_AT_KEY, &time) } } #[cfg(test)] pub(crate) mod tests { use std::ops::Deref; use heed::EnvOpenOptions; use maplit::btreemap; use tempfile::TempDir; use crate::update::{IndexDocuments, UpdateFormat}; use crate::Index; pub(crate) struct TempIndex { inner: Index, _tempdir: TempDir, } impl Deref for TempIndex { type Target = Index; fn deref(&self) -> &Self::Target { &self.inner } } impl TempIndex { /// Creates a temporary index, with a default `4096 * 100` size. This should be enough for /// most tests. pub fn new() -> Self { let mut options = EnvOpenOptions::new(); options.map_size(100 * 4096); let _tempdir = TempDir::new_in(".").unwrap(); let inner = Index::new(options, _tempdir.path()).unwrap(); Self { inner, _tempdir } } } #[test] fn initial_field_distribution() { let path = tempfile::tempdir().unwrap(); let mut options = EnvOpenOptions::new(); options.map_size(10 * 1024 * 1024); // 10 MB let index = Index::new(options, &path).unwrap(); let mut wtxn = index.write_txn().unwrap(); let content = &br#"[ { "id": 1, "name": "kevin" }, { "id": 2, "name": "bob", "age": 20 }, { "id": 2, "name": "bob", "age": 20 } ]"#[..]; let mut builder = IndexDocuments::new(&mut wtxn, &index, 0); builder.update_format(UpdateFormat::Json); builder.execute(content, |_, _| ()).unwrap(); wtxn.commit().unwrap(); let rtxn = index.read_txn().unwrap(); let field_distribution = index.field_distribution(&rtxn).unwrap(); assert_eq!( field_distribution, btreemap! { "id".to_string() => 2, "name".to_string() => 2, "age".to_string() => 1, } ); // we add all the documents a second time. we are supposed to get the same // field_distribution in the end let mut wtxn = index.write_txn().unwrap(); let mut builder = IndexDocuments::new(&mut wtxn, &index, 0); builder.update_format(UpdateFormat::Json); builder.execute(content, |_, _| ()).unwrap(); wtxn.commit().unwrap(); let rtxn = index.read_txn().unwrap(); let field_distribution = index.field_distribution(&rtxn).unwrap(); assert_eq!( field_distribution, btreemap! { "id".to_string() => 2, "name".to_string() => 2, "age".to_string() => 1, } ); // then we update a document by removing one field and another by adding one field let content = &br#"[ { "id": 1, "name": "kevin", "has_dog": true }, { "id": 2, "name": "bob" } ]"#[..]; let mut wtxn = index.write_txn().unwrap(); let mut builder = IndexDocuments::new(&mut wtxn, &index, 0); builder.update_format(UpdateFormat::Json); builder.execute(content, |_, _| ()).unwrap(); wtxn.commit().unwrap(); let rtxn = index.read_txn().unwrap(); let field_distribution = index.field_distribution(&rtxn).unwrap(); assert_eq!( field_distribution, btreemap! { "id".to_string() => 2, "name".to_string() => 2, "has_dog".to_string() => 1, } ); } }