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MeiliSearch/milli/src/index.rs

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Rust
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use std::borrow::Cow;
use std::collections::{BTreeMap, BTreeSet, HashMap, HashSet};
use std::convert::TryInto;
use std::fs::File;
use std::path::Path;
use charabia::{Language, Script};
use heed::types::*;
use heed::{CompactionOption, Database, RoTxn, RwTxn, Unspecified};
use roaring::RoaringBitmap;
use rstar::RTree;
use serde::{Deserialize, Serialize};
use time::OffsetDateTime;
use crate::documents::PrimaryKey;
use crate::error::{InternalError, UserError};
use crate::fields_ids_map::FieldsIdsMap;
use crate::heed_codec::facet::{
FacetGroupKeyCodec, FacetGroupValueCodec, FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
FieldIdCodec, OrderedF64Codec,
};
use crate::heed_codec::{
BEU16StrCodec, CompressedKvReaderU16, FstSetCodec, ObkvCompressedCodec, ScriptLanguageCodec,
StrBEU16Codec, StrRefCodec,
};
use crate::order_by_map::OrderByMap;
use crate::proximity::ProximityPrecision;
use crate::vector::parsed_vectors::RESERVED_VECTORS_FIELD_NAME;
use crate::vector::{Embedding, EmbeddingConfig};
use crate::{
default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
FacetDistribution, FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldIdWordCountCodec,
FieldidsWeightsMap, GeoPoint, Result, RoaringBitmapCodec, RoaringBitmapLenCodec, Search,
U8StrStrCodec, Weight, BEU16, BEU32, BEU64,
};
pub const DEFAULT_MIN_WORD_LEN_ONE_TYPO: u8 = 5;
pub const DEFAULT_MIN_WORD_LEN_TWO_TYPOS: u8 = 9;
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 HIDDEN_FACETED_FIELDS_KEY: &str = "hidden-faceted-fields";
pub const FILTERABLE_FIELDS_KEY: &str = "filterable-fields";
pub const SORTABLE_FIELDS_KEY: &str = "sortable-fields";
pub const FIELD_DISTRIBUTION_KEY: &str = "fields-distribution";
pub const FIELDS_IDS_MAP_KEY: &str = "fields-ids-map";
pub const FIELDIDS_WEIGHTS_MAP_KEY: &str = "fieldids-weights-map";
pub const GEO_FACETED_DOCUMENTS_IDS_KEY: &str = "geo-faceted-documents-ids";
pub const GEO_RTREE_KEY: &str = "geo-rtree";
pub const PRIMARY_KEY_KEY: &str = "primary-key";
pub const SEARCHABLE_FIELDS_KEY: &str = "searchable-fields";
pub const USER_DEFINED_SEARCHABLE_FIELDS_KEY: &str = "user-defined-searchable-fields";
pub const STOP_WORDS_KEY: &str = "stop-words";
pub const NON_SEPARATOR_TOKENS_KEY: &str = "non-separator-tokens";
pub const SEPARATOR_TOKENS_KEY: &str = "separator-tokens";
pub const DICTIONARY_KEY: &str = "dictionary";
pub const SYNONYMS_KEY: &str = "synonyms";
pub const USER_DEFINED_SYNONYMS_KEY: &str = "user-defined-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 const AUTHORIZE_TYPOS: &str = "authorize-typos";
pub const ONE_TYPO_WORD_LEN: &str = "one-typo-word-len";
pub const TWO_TYPOS_WORD_LEN: &str = "two-typos-word-len";
pub const EXACT_WORDS: &str = "exact-words";
pub const EXACT_ATTRIBUTES: &str = "exact-attributes";
pub const MAX_VALUES_PER_FACET: &str = "max-values-per-facet";
pub const SORT_FACET_VALUES_BY: &str = "sort-facet-values-by";
pub const PAGINATION_MAX_TOTAL_HITS: &str = "pagination-max-total-hits";
pub const PROXIMITY_PRECISION: &str = "proximity-precision";
pub const EMBEDDING_CONFIGS: &str = "embedding_configs";
pub const SEARCH_CUTOFF: &str = "search_cutoff";
pub const DOCUMENT_COMPRESSION_DICTIONARY: &str = "document-compression-dictionary";
}
pub mod db_name {
pub const MAIN: &str = "main";
pub const WORD_DOCIDS: &str = "word-docids";
pub const EXACT_WORD_DOCIDS: &str = "exact-word-docids";
pub const WORD_PREFIX_DOCIDS: &str = "word-prefix-docids";
pub const EXACT_WORD_PREFIX_DOCIDS: &str = "exact-word-prefix-docids";
pub const EXTERNAL_DOCUMENTS_IDS: &str = "external-documents-ids";
pub const DOCID_WORD_POSITIONS: &str = "docid-word-positions";
pub const WORD_PAIR_PROXIMITY_DOCIDS: &str = "word-pair-proximity-docids";
pub const WORD_POSITION_DOCIDS: &str = "word-position-docids";
pub const WORD_FIELD_ID_DOCIDS: &str = "word-field-id-docids";
pub const WORD_PREFIX_POSITION_DOCIDS: &str = "word-prefix-position-docids";
pub const WORD_PREFIX_FIELD_ID_DOCIDS: &str = "word-prefix-field-id-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_EXISTS_DOCIDS: &str = "facet-id-exists-docids";
pub const FACET_ID_IS_NULL_DOCIDS: &str = "facet-id-is-null-docids";
pub const FACET_ID_IS_EMPTY_DOCIDS: &str = "facet-id-is-empty-docids";
pub const FACET_ID_STRING_DOCIDS: &str = "facet-id-string-docids";
pub const FACET_ID_NORMALIZED_STRING_STRINGS: &str = "facet-id-normalized-string-strings";
pub const FACET_ID_STRING_FST: &str = "facet-id-string-fst";
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 VECTOR_EMBEDDER_CATEGORY_ID: &str = "vector-embedder-category-id";
pub const VECTOR_ARROY: &str = "vector-arroy";
pub const DOCUMENTS: &str = "documents";
pub const SCRIPT_LANGUAGE_DOCIDS: &str = "script_language_docids";
}
#[derive(Clone)]
pub struct Index {
/// The LMDB environment which this index is associated with.
pub(crate) env: heed::Env,
/// Contains many different types (e.g. the fields ids map).
pub(crate) main: Database<Unspecified, Unspecified>,
/// Maps the external documents ids with the internal document id.
pub external_documents_ids: Database<Str, BEU32>,
/// A word and all the documents ids containing the word.
pub word_docids: Database<Str, CboRoaringBitmapCodec>,
/// A word and all the documents ids containing the word, from attributes for which typos are not allowed.
pub exact_word_docids: Database<Str, CboRoaringBitmapCodec>,
/// A prefix of word and all the documents ids containing this prefix.
pub word_prefix_docids: Database<Str, CboRoaringBitmapCodec>,
/// A prefix of word and all the documents ids containing this prefix, from attributes for which typos are not allowed.
pub exact_word_prefix_docids: Database<Str, CboRoaringBitmapCodec>,
/// Maps the proximity between a pair of words with all the docids where this relation appears.
pub word_pair_proximity_docids: Database<U8StrStrCodec, CboRoaringBitmapCodec>,
/// Maps the word and the position with the docids that corresponds to it.
pub word_position_docids: Database<StrBEU16Codec, CboRoaringBitmapCodec>,
/// Maps the word and the field id with the docids that corresponds to it.
pub word_fid_docids: Database<StrBEU16Codec, CboRoaringBitmapCodec>,
/// Maps the field id and the word count with the docids that corresponds to it.
pub field_id_word_count_docids: Database<FieldIdWordCountCodec, CboRoaringBitmapCodec>,
/// Maps the word prefix and a position with all the docids where the prefix appears at the position.
pub word_prefix_position_docids: Database<StrBEU16Codec, CboRoaringBitmapCodec>,
/// Maps the word prefix and a field id with all the docids where the prefix appears inside the field
pub word_prefix_fid_docids: Database<StrBEU16Codec, CboRoaringBitmapCodec>,
/// Maps the script and language with all the docids that corresponds to it.
pub script_language_docids: Database<ScriptLanguageCodec, RoaringBitmapCodec>,
/// Maps the facet field id and the docids for which this field exists
pub facet_id_exists_docids: Database<FieldIdCodec, CboRoaringBitmapCodec>,
/// Maps the facet field id and the docids for which this field is set as null
pub facet_id_is_null_docids: Database<FieldIdCodec, CboRoaringBitmapCodec>,
/// Maps the facet field id and the docids for which this field is considered empty
pub facet_id_is_empty_docids: Database<FieldIdCodec, CboRoaringBitmapCodec>,
/// Maps the facet field id and ranges of numbers with the docids that corresponds to them.
pub facet_id_f64_docids: Database<FacetGroupKeyCodec<OrderedF64Codec>, FacetGroupValueCodec>,
/// Maps the facet field id and ranges of strings with the docids that corresponds to them.
pub facet_id_string_docids: Database<FacetGroupKeyCodec<StrRefCodec>, FacetGroupValueCodec>,
/// Maps the facet field id of the normalized-for-search string facets with their original versions.
pub facet_id_normalized_string_strings: Database<BEU16StrCodec, SerdeJson<BTreeSet<String>>>,
/// Maps the facet field id of the string facets with an FST containing all the facets values.
pub facet_id_string_fst: Database<BEU16, FstSetCodec>,
/// Maps the document id, the facet field id and the numbers.
pub field_id_docid_facet_f64s: Database<FieldDocIdFacetF64Codec, Unit>,
/// Maps the document id, the facet field id and the strings.
pub field_id_docid_facet_strings: Database<FieldDocIdFacetStringCodec, Str>,
/// Maps an embedder name to its id in the arroy store.
pub embedder_category_id: Database<Str, U8>,
/// Vector store based on arroy™.
pub vector_arroy: arroy::Database<arroy::distances::Angular>,
/// Maps the document id to the document as an obkv store.
pub(crate) documents: Database<BEU32, ObkvCompressedCodec>,
}
impl Index {
pub fn new_with_creation_dates<P: AsRef<Path>>(
mut options: heed::EnvOpenOptions,
path: P,
created_at: OffsetDateTime,
updated_at: OffsetDateTime,
) -> Result<Index> {
use db_name::*;
options.max_dbs(25);
let env = unsafe { options.open(path) }?;
let mut wtxn = env.write_txn()?;
let main = env.database_options().name(MAIN).create(&mut wtxn)?;
let word_docids = env.create_database(&mut wtxn, Some(WORD_DOCIDS))?;
let external_documents_ids =
env.create_database(&mut wtxn, Some(EXTERNAL_DOCUMENTS_IDS))?;
let exact_word_docids = env.create_database(&mut wtxn, Some(EXACT_WORD_DOCIDS))?;
let word_prefix_docids = env.create_database(&mut wtxn, Some(WORD_PREFIX_DOCIDS))?;
let exact_word_prefix_docids =
env.create_database(&mut wtxn, Some(EXACT_WORD_PREFIX_DOCIDS))?;
let word_pair_proximity_docids =
env.create_database(&mut wtxn, Some(WORD_PAIR_PROXIMITY_DOCIDS))?;
let script_language_docids =
env.create_database(&mut wtxn, Some(SCRIPT_LANGUAGE_DOCIDS))?;
let word_position_docids = env.create_database(&mut wtxn, Some(WORD_POSITION_DOCIDS))?;
let word_fid_docids = env.create_database(&mut wtxn, Some(WORD_FIELD_ID_DOCIDS))?;
let field_id_word_count_docids =
env.create_database(&mut wtxn, Some(FIELD_ID_WORD_COUNT_DOCIDS))?;
let word_prefix_position_docids =
env.create_database(&mut wtxn, Some(WORD_PREFIX_POSITION_DOCIDS))?;
let word_prefix_fid_docids =
env.create_database(&mut wtxn, Some(WORD_PREFIX_FIELD_ID_DOCIDS))?;
let facet_id_f64_docids = env.create_database(&mut wtxn, Some(FACET_ID_F64_DOCIDS))?;
let facet_id_string_docids =
env.create_database(&mut wtxn, Some(FACET_ID_STRING_DOCIDS))?;
let facet_id_normalized_string_strings =
env.create_database(&mut wtxn, Some(FACET_ID_NORMALIZED_STRING_STRINGS))?;
let facet_id_string_fst = env.create_database(&mut wtxn, Some(FACET_ID_STRING_FST))?;
let facet_id_exists_docids =
env.create_database(&mut wtxn, Some(FACET_ID_EXISTS_DOCIDS))?;
let facet_id_is_null_docids =
env.create_database(&mut wtxn, Some(FACET_ID_IS_NULL_DOCIDS))?;
let facet_id_is_empty_docids =
env.create_database(&mut wtxn, Some(FACET_ID_IS_EMPTY_DOCIDS))?;
let field_id_docid_facet_f64s =
env.create_database(&mut wtxn, Some(FIELD_ID_DOCID_FACET_F64S))?;
let field_id_docid_facet_strings =
env.create_database(&mut wtxn, Some(FIELD_ID_DOCID_FACET_STRINGS))?;
// vector stuff
let embedder_category_id =
env.create_database(&mut wtxn, Some(VECTOR_EMBEDDER_CATEGORY_ID))?;
let vector_arroy = env.create_database(&mut wtxn, Some(VECTOR_ARROY))?;
let documents = env.create_database(&mut wtxn, Some(DOCUMENTS))?;
wtxn.commit()?;
Index::set_creation_dates(&env, main, created_at, updated_at)?;
Ok(Index {
env,
main,
external_documents_ids,
word_docids,
exact_word_docids,
word_prefix_docids,
exact_word_prefix_docids,
word_pair_proximity_docids,
script_language_docids,
word_position_docids,
word_fid_docids,
word_prefix_position_docids,
word_prefix_fid_docids,
field_id_word_count_docids,
facet_id_f64_docids,
facet_id_string_docids,
facet_id_normalized_string_strings,
facet_id_string_fst,
facet_id_exists_docids,
facet_id_is_null_docids,
facet_id_is_empty_docids,
field_id_docid_facet_f64s,
field_id_docid_facet_strings,
vector_arroy,
embedder_category_id,
documents,
})
}
pub fn new<P: AsRef<Path>>(options: heed::EnvOpenOptions, path: P) -> Result<Index> {
let now = OffsetDateTime::now_utc();
Self::new_with_creation_dates(options, path, now, now)
}
fn set_creation_dates(
env: &heed::Env,
main: Database<Unspecified, Unspecified>,
created_at: OffsetDateTime,
updated_at: OffsetDateTime,
) -> heed::Result<()> {
let mut txn = env.write_txn()?;
// The db was just created, we update its metadata with the relevant information.
let main = main.remap_types::<Str, SerdeJson<OffsetDateTime>>();
if main.get(&txn, main_key::CREATED_AT_KEY)?.is_none() {
main.put(&mut txn, main_key::UPDATED_AT_KEY, &updated_at)?;
main.put(&mut txn, main_key::CREATED_AT_KEY, &created_at)?;
txn.commit()?;
}
Ok(())
}
/// Create a write transaction to be able to write into the index.
pub fn write_txn(&self) -> heed::Result<RwTxn<'_>> {
self.env.write_txn()
}
/// Create a read transaction to be able to read the index.
pub fn read_txn(&self) -> heed::Result<RoTxn<'_>> {
self.env.read_txn()
}
/// Create a static read transaction to be able to read the index without keeping a reference to it.
pub fn static_read_txn(&self) -> heed::Result<RoTxn<'static>> {
self.env.clone().static_read_txn()
}
/// Returns the canonicalized path where the heed `Env` of this `Index` lives.
pub fn path(&self) -> &Path {
self.env.path()
}
/// Returns the size used by the index without the cached pages.
pub fn used_size(&self) -> Result<u64> {
Ok(self.env.non_free_pages_size()?)
}
/// Returns the real size used by the index.
pub fn on_disk_size(&self) -> Result<u64> {
Ok(self.env.real_disk_size()?)
}
/// Returns the map size the underlying environment was opened with, in bytes.
///
/// This value does not represent the current on-disk size of the index.
///
/// This value is the maximum between the map size passed during the opening of the index
/// and the on-disk size of the index at the time of opening.
pub fn map_size(&self) -> usize {
self.env.info().map_size
}
pub fn copy_to_file<P: AsRef<Path>>(&self, path: P, option: CompactionOption) -> Result<File> {
self.env.copy_to_file(path, option).map_err(Into::into)
}
/// 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()
}
/* document compression dictionary */
/// Writes the dictionnary that will further be used to compress the documents.
pub fn put_document_compression_dictionary(
&self,
wtxn: &mut RwTxn,
dictionary: &[u8],
) -> heed::Result<()> {
self.main.remap_types::<Str, Bytes>().put(
wtxn,
main_key::DOCUMENT_COMPRESSION_DICTIONARY,
dictionary,
)
}
/// Returns the optional dictionnary to be used when reading the OBKV documents.
pub fn document_compression_dictionary<'t>(
&self,
rtxn: &'t RoTxn,
) -> heed::Result<Option<&'t [u8]>> {
self.main.remap_types::<Str, Bytes>().get(rtxn, main_key::DOCUMENT_COMPRESSION_DICTIONARY)
}
/* 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.remap_types::<Str, RoaringBitmapCodec>().put(
wtxn,
main_key::DOCUMENTS_IDS_KEY,
docids,
)
}
/// Returns the internal documents ids.
pub fn documents_ids(&self, rtxn: &RoTxn<'_>) -> heed::Result<RoaringBitmap> {
Ok(self
.main
.remap_types::<Str, RoaringBitmapCodec>()
.get(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<u64> {
let count = self
.main
.remap_types::<Str, RoaringBitmapLenCodec>()
.get(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, &OffsetDateTime::now_utc())?;
self.main.remap_types::<Str, Str>().put(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<bool> {
self.main.remap_key_type::<Str>().delete(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<Option<&'t str>> {
self.main.remap_types::<Str, Str>().get(rtxn, main_key::PRIMARY_KEY_KEY)
}
/* external documents ids */
/// Returns the external documents ids map which associate the external ids
/// with the internal ids (i.e. `u32`).
pub fn external_documents_ids(&self) -> ExternalDocumentsIds {
ExternalDocumentsIds::new(self.external_documents_ids)
}
/* 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.remap_types::<Str, SerdeJson<FieldsIdsMap>>().put(
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<FieldsIdsMap> {
Ok(self
.main
.remap_types::<Str, SerdeJson<FieldsIdsMap>>()
.get(rtxn, main_key::FIELDS_IDS_MAP_KEY)?
.unwrap_or_default())
}
/* fieldids weights map */
// This maps the fields ids to their weights.
// Their weights is defined by the ordering of the searchable attributes.
/// Writes the fieldids weights map which associates the field ids to their weights
pub(crate) fn put_fieldids_weights_map(
&self,
wtxn: &mut RwTxn<'_>,
map: &FieldidsWeightsMap,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<_>>().put(
wtxn,
main_key::FIELDIDS_WEIGHTS_MAP_KEY,
map,
)
}
/// Get the fieldids weights map which associates the field ids to their weights
pub fn fieldids_weights_map(&self, rtxn: &RoTxn<'_>) -> heed::Result<FieldidsWeightsMap> {
self.main
.remap_types::<Str, SerdeJson<_>>()
.get(rtxn, main_key::FIELDIDS_WEIGHTS_MAP_KEY)?
.map(Ok)
.unwrap_or_else(|| {
Ok(FieldidsWeightsMap::from_field_id_map_without_searchable(
&self.fields_ids_map(rtxn)?,
))
})
}
/// Delete the fieldsids weights map
pub fn delete_fieldids_weights_map(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::FIELDIDS_WEIGHTS_MAP_KEY)
}
pub fn searchable_fields_and_weights<'a>(
&self,
rtxn: &'a RoTxn<'a>,
) -> Result<Vec<(Cow<'a, str>, FieldId, Weight)>> {
let fid_map = self.fields_ids_map(rtxn)?;
let weight_map = self.fieldids_weights_map(rtxn)?;
let searchable = self.searchable_fields(rtxn)?;
searchable
.into_iter()
.map(|field| -> Result<_> {
let fid = fid_map.id(&field).ok_or_else(|| FieldIdMapMissingEntry::FieldName {
field_name: field.to_string(),
process: "searchable_fields_and_weights",
})?;
let weight = weight_map
.weight(fid)
.ok_or(InternalError::FieldidsWeightsMapMissingEntry { key: fid })?;
Ok((field, fid, weight))
})
.collect()
}
/* geo rtree */
/// Writes the provided `rtree` which associates coordinates to documents ids.
pub(crate) fn put_geo_rtree(
&self,
wtxn: &mut RwTxn<'_>,
rtree: &RTree<GeoPoint>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<RTree<GeoPoint>>>().put(
wtxn,
main_key::GEO_RTREE_KEY,
rtree,
)
}
/// Delete the `rtree` which associates coordinates to documents ids.
pub(crate) fn delete_geo_rtree(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::GEO_RTREE_KEY)
}
/// Returns the `rtree` which associates coordinates to documents ids.
pub fn geo_rtree(&self, rtxn: &RoTxn<'_>) -> Result<Option<RTree<GeoPoint>>> {
match self
.main
.remap_types::<Str, SerdeBincode<RTree<GeoPoint>>>()
.get(rtxn, main_key::GEO_RTREE_KEY)?
{
Some(rtree) => Ok(Some(rtree)),
None => Ok(None),
}
}
/* geo faceted */
/// Writes the documents ids that are faceted with a _geo field.
pub(crate) fn put_geo_faceted_documents_ids(
&self,
wtxn: &mut RwTxn<'_>,
docids: &RoaringBitmap,
) -> heed::Result<()> {
self.main.remap_types::<Str, RoaringBitmapCodec>().put(
wtxn,
main_key::GEO_FACETED_DOCUMENTS_IDS_KEY,
docids,
)
}
/// Delete the documents ids that are faceted with a _geo field.
pub(crate) fn delete_geo_faceted_documents_ids(
&self,
wtxn: &mut RwTxn<'_>,
) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::GEO_FACETED_DOCUMENTS_IDS_KEY)
}
/// Retrieve all the documents ids that are faceted with a _geo field.
pub fn geo_faceted_documents_ids(&self, rtxn: &RoTxn<'_>) -> heed::Result<RoaringBitmap> {
match self
.main
.remap_types::<Str, RoaringBitmapCodec>()
.get(rtxn, main_key::GEO_FACETED_DOCUMENTS_IDS_KEY)?
{
Some(docids) => Ok(docids),
None => Ok(RoaringBitmap::new()),
}
}
/* 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.remap_types::<Str, SerdeJson<FieldDistribution>>().put(
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<FieldDistribution> {
Ok(self
.main
.remap_types::<Str, SerdeJson<FieldDistribution>>()
.get(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.remap_types::<Str, SerdeBincode<&[&str]>>().put(
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<bool> {
self.main.remap_key_type::<Str>().delete(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<Option<Vec<&'t str>>> {
self.main
.remap_types::<Str, SerdeBincode<Vec<&'t str>>>()
.get(rtxn, main_key::DISPLAYED_FIELDS_KEY)
}
/// Identical to `displayed_fields`, but returns the ids instead.
pub fn displayed_fields_ids(&self, rtxn: &RoTxn<'_>) -> Result<Option<Vec<FieldId>>> {
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),
}
}
/* remove hidden fields */
pub fn remove_hidden_fields(
&self,
rtxn: &RoTxn<'_>,
fields: impl IntoIterator<Item = impl AsRef<str>>,
) -> Result<(BTreeSet<String>, bool)> {
let mut valid_fields =
fields.into_iter().map(|f| f.as_ref().to_string()).collect::<BTreeSet<String>>();
let fields_len = valid_fields.len();
if let Some(dn) = self.displayed_fields(rtxn)? {
let displayable_names = dn.iter().map(|s| s.to_string()).collect();
valid_fields = &valid_fields & &displayable_names;
}
let hidden_fields = fields_len > valid_fields.len();
Ok((valid_fields, hidden_fields))
}
/* searchable fields */
/// Write the user defined searchable fields and generate the real searchable fields from the specified fields ids map.
pub(crate) fn put_all_searchable_fields_from_fields_ids_map(
&self,
wtxn: &mut RwTxn<'_>,
user_fields: &[&str],
non_searchable_fields_ids: &[FieldId],
fields_ids_map: &FieldsIdsMap,
) -> Result<()> {
// We can write the user defined searchable fields as-is.
self.put_user_defined_searchable_fields(wtxn, user_fields)?;
let mut weights = FieldidsWeightsMap::default();
// Now we generate the real searchable fields:
// 1. Take the user defined searchable fields as-is to keep the priority defined by the attributes criterion.
// 2. Iterate over the user defined searchable fields.
// 3. If a user defined field is a subset of a field defined in the fields_ids_map
// (ie doggo.name is a subset of doggo) right after doggo and with the same weight.
let mut real_fields = Vec::new();
for (id, field_from_map) in fields_ids_map.iter() {
for (weight, user_field) in user_fields.iter().enumerate() {
if crate::is_faceted_by(field_from_map, user_field)
&& !real_fields.contains(&field_from_map)
&& !non_searchable_fields_ids.contains(&id)
{
real_fields.push(field_from_map);
let weight: u16 =
weight.try_into().map_err(|_| UserError::AttributeLimitReached)?;
weights.insert(id, weight);
}
}
}
self.put_searchable_fields(wtxn, &real_fields)?;
self.put_fieldids_weights_map(wtxn, &weights)?;
Ok(())
}
pub(crate) fn delete_all_searchable_fields(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
let did_delete_searchable = self.delete_searchable_fields(wtxn)?;
let did_delete_user_defined = self.delete_user_defined_searchable_fields(wtxn)?;
self.delete_fieldids_weights_map(wtxn)?;
Ok(did_delete_searchable || did_delete_user_defined)
}
/// Writes the searchable fields, when this list is specified, only these are indexed.
fn put_searchable_fields(&self, wtxn: &mut RwTxn<'_>, fields: &[&str]) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<&[&str]>>().put(
wtxn,
main_key::SEARCHABLE_FIELDS_KEY,
&fields,
)
}
/// Deletes the searchable fields, when no fields are specified, all fields are indexed.
fn delete_searchable_fields(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::SEARCHABLE_FIELDS_KEY)
}
/// Returns the searchable fields, those are the fields that are indexed,
pub fn searchable_fields<'t>(&self, rtxn: &'t RoTxn<'_>) -> heed::Result<Vec<Cow<'t, str>>> {
self.main
.remap_types::<Str, SerdeBincode<Vec<&'t str>>>()
.get(rtxn, main_key::SEARCHABLE_FIELDS_KEY)?
.map(|fields| Ok(fields.into_iter().map(Cow::Borrowed).collect()))
.unwrap_or_else(|| {
Ok(self
.fields_ids_map(rtxn)?
.names()
.filter(|name| !crate::is_faceted_by(name, RESERVED_VECTORS_FIELD_NAME))
.map(|field| Cow::Owned(field.to_string()))
.collect())
})
}
/// Identical to `searchable_fields`, but returns the ids instead.
pub fn searchable_fields_ids(&self, rtxn: &RoTxn<'_>) -> Result<Vec<FieldId>> {
let fields = self.searchable_fields(rtxn)?;
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(fields_ids)
}
/// Writes the searchable fields, when this list is specified, only these are indexed.
pub(crate) fn put_user_defined_searchable_fields(
&self,
wtxn: &mut RwTxn<'_>,
fields: &[&str],
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<_>>().put(
wtxn,
main_key::USER_DEFINED_SEARCHABLE_FIELDS_KEY,
&fields,
)
}
/// Deletes the searchable fields, when no fields are specified, all fields are indexed.
pub(crate) fn delete_user_defined_searchable_fields(
&self,
wtxn: &mut RwTxn<'_>,
) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::USER_DEFINED_SEARCHABLE_FIELDS_KEY)
}
/// Returns the user defined searchable fields.
pub fn user_defined_searchable_fields<'t>(
&self,
rtxn: &'t RoTxn<'t>,
) -> heed::Result<Option<Vec<&'t str>>> {
self.main
.remap_types::<Str, SerdeBincode<Vec<_>>>()
.get(rtxn, main_key::USER_DEFINED_SEARCHABLE_FIELDS_KEY)
}
/// Identical to `user_defined_searchable_fields`, but returns ids instead.
pub fn user_defined_searchable_fields_ids(
&self,
rtxn: &RoTxn<'_>,
) -> Result<Option<Vec<FieldId>>> {
match self.user_defined_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<String>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<_>>().put(
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<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::FILTERABLE_FIELDS_KEY)
}
/// Returns the filterable fields names.
pub fn filterable_fields(&self, rtxn: &RoTxn<'_>) -> heed::Result<HashSet<String>> {
Ok(self
.main
.remap_types::<Str, SerdeJson<_>>()
.get(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<HashSet<FieldId>> {
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)
}
/* sortable fields */
/// Writes the sortable fields names in the database.
pub(crate) fn put_sortable_fields(
&self,
wtxn: &mut RwTxn<'_>,
fields: &HashSet<String>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<_>>().put(
wtxn,
main_key::SORTABLE_FIELDS_KEY,
fields,
)
}
/// Deletes the sortable fields ids in the database.
pub(crate) fn delete_sortable_fields(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::SORTABLE_FIELDS_KEY)
}
/// Returns the sortable fields names.
pub fn sortable_fields(&self, rtxn: &RoTxn<'_>) -> heed::Result<HashSet<String>> {
Ok(self
.main
.remap_types::<Str, SerdeJson<_>>()
.get(rtxn, main_key::SORTABLE_FIELDS_KEY)?
.unwrap_or_default())
}
/// Identical to `sortable_fields`, but returns ids instead.
pub fn sortable_fields_ids(&self, rtxn: &RoTxn<'_>) -> Result<HashSet<FieldId>> {
let fields = self.sortable_fields(rtxn)?;
let fields_ids_map = self.fields_ids_map(rtxn)?;
Ok(fields.into_iter().filter_map(|name| fields_ids_map.id(&name)).collect())
}
/* faceted fields */
/// Writes the faceted fields in the database.
pub(crate) fn put_faceted_fields(
&self,
wtxn: &mut RwTxn<'_>,
fields: &HashSet<String>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<_>>().put(
wtxn,
main_key::HIDDEN_FACETED_FIELDS_KEY,
fields,
)
}
/// Returns the faceted fields names.
pub fn faceted_fields(&self, rtxn: &RoTxn<'_>) -> heed::Result<HashSet<String>> {
Ok(self
.main
.remap_types::<Str, SerdeJson<_>>()
.get(rtxn, main_key::HIDDEN_FACETED_FIELDS_KEY)?
.unwrap_or_default())
}
/// Identical to `faceted_fields`, but returns ids instead.
pub fn faceted_fields_ids(&self, rtxn: &RoTxn<'_>) -> Result<HashSet<FieldId>> {
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 {
if let Some(field_id) = fields_ids_map.id(&name) {
fields_ids.insert(field_id);
}
}
Ok(fields_ids)
}
/* faceted documents ids */
/// Returns the user defined faceted fields names.
///
/// The user faceted fields are the union of all the filterable, sortable, distinct, and Asc/Desc fields.
pub fn user_defined_faceted_fields(&self, rtxn: &RoTxn<'_>) -> Result<HashSet<String>> {
let filterable_fields = self.filterable_fields(rtxn)?;
let sortable_fields = self.sortable_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(sortable_fields);
faceted_fields.extend(asc_desc_fields);
if let Some(field) = distinct_field {
faceted_fields.insert(field.to_owned());
}
Ok(faceted_fields)
}
/// Identical to `user_defined_faceted_fields`, but returns ids instead.
pub fn user_defined_faceted_fields_ids(&self, rtxn: &RoTxn<'_>) -> Result<HashSet<FieldId>> {
let fields = self.user_defined_faceted_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 */
/// Retrieve all the documents which contain this field id set as null
pub fn null_faceted_documents_ids(
&self,
rtxn: &RoTxn<'_>,
field_id: FieldId,
) -> heed::Result<RoaringBitmap> {
match self.facet_id_is_null_docids.get(rtxn, &field_id)? {
Some(docids) => Ok(docids),
None => Ok(RoaringBitmap::new()),
}
}
/// Retrieve all the documents which contain this field id and that is considered empty
pub fn empty_faceted_documents_ids(
&self,
rtxn: &RoTxn<'_>,
field_id: FieldId,
) -> heed::Result<RoaringBitmap> {
match self.facet_id_is_empty_docids.get(rtxn, &field_id)? {
Some(docids) => Ok(docids),
None => Ok(RoaringBitmap::new()),
}
}
/// Retrieve all the documents which contain this field id
pub fn exists_faceted_documents_ids(
&self,
rtxn: &RoTxn<'_>,
field_id: FieldId,
) -> heed::Result<RoaringBitmap> {
match self.facet_id_exists_docids.get(rtxn, &field_id)? {
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.remap_types::<Str, Str>().put(wtxn, main_key::DISTINCT_FIELD_KEY, distinct_field)
}
pub fn distinct_field<'a>(&self, rtxn: &'a RoTxn<'_>) -> heed::Result<Option<&'a str>> {
self.main.remap_types::<Str, Str>().get(rtxn, main_key::DISTINCT_FIELD_KEY)
}
pub(crate) fn delete_distinct_field(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::DISTINCT_FIELD_KEY)
}
/* criteria */
pub(crate) fn put_criteria(
&self,
wtxn: &mut RwTxn<'_>,
criteria: &[Criterion],
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<&[Criterion]>>().put(
wtxn,
main_key::CRITERIA_KEY,
&criteria,
)
}
pub(crate) fn delete_criteria(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::CRITERIA_KEY)
}
pub fn criteria(&self, rtxn: &RoTxn<'_>) -> heed::Result<Vec<Criterion>> {
match self
.main
.remap_types::<Str, SerdeJson<Vec<Criterion>>>()
.get(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<A: AsRef<[u8]>>(
&self,
wtxn: &mut RwTxn<'_>,
fst: &fst::Set<A>,
) -> heed::Result<()> {
self.main.remap_types::<Str, Bytes>().put(
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<fst::Set<Cow<'t, [u8]>>> {
match self.main.remap_types::<Str, Bytes>().get(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<A: AsRef<[u8]>>(
&self,
wtxn: &mut RwTxn<'_>,
fst: &fst::Set<A>,
) -> heed::Result<()> {
self.main.remap_types::<Str, Bytes>().put(
wtxn,
main_key::STOP_WORDS_KEY,
fst.as_fst().as_bytes(),
)
}
pub(crate) fn delete_stop_words(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::STOP_WORDS_KEY)
}
pub fn stop_words<'t>(&self, rtxn: &'t RoTxn<'t>) -> Result<Option<fst::Set<&'t [u8]>>> {
match self.main.remap_types::<Str, Bytes>().get(rtxn, main_key::STOP_WORDS_KEY)? {
Some(bytes) => Ok(Some(fst::Set::new(bytes)?)),
None => Ok(None),
}
}
/* non separator tokens */
pub(crate) fn put_non_separator_tokens(
&self,
wtxn: &mut RwTxn<'_>,
set: &BTreeSet<String>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<_>>().put(
wtxn,
main_key::NON_SEPARATOR_TOKENS_KEY,
set,
)
}
pub(crate) fn delete_non_separator_tokens(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::NON_SEPARATOR_TOKENS_KEY)
}
pub fn non_separator_tokens(&self, rtxn: &RoTxn<'_>) -> Result<Option<BTreeSet<String>>> {
Ok(self
.main
.remap_types::<Str, SerdeBincode<BTreeSet<String>>>()
.get(rtxn, main_key::NON_SEPARATOR_TOKENS_KEY)?)
}
/* separator tokens */
pub(crate) fn put_separator_tokens(
&self,
wtxn: &mut RwTxn<'_>,
set: &BTreeSet<String>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<_>>().put(
wtxn,
main_key::SEPARATOR_TOKENS_KEY,
set,
)
}
pub(crate) fn delete_separator_tokens(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::SEPARATOR_TOKENS_KEY)
}
pub fn separator_tokens(&self, rtxn: &RoTxn<'_>) -> Result<Option<BTreeSet<String>>> {
Ok(self
.main
.remap_types::<Str, SerdeBincode<BTreeSet<String>>>()
.get(rtxn, main_key::SEPARATOR_TOKENS_KEY)?)
}
/* separators easing method */
pub fn allowed_separators(&self, rtxn: &RoTxn<'_>) -> Result<Option<BTreeSet<String>>> {
let default_separators =
charabia::separators::DEFAULT_SEPARATORS.iter().map(|s| s.to_string());
let mut separators: Option<BTreeSet<_>> = None;
if let Some(mut separator_tokens) = self.separator_tokens(rtxn)? {
separator_tokens.extend(default_separators.clone());
separators = Some(separator_tokens);
}
if let Some(non_separator_tokens) = self.non_separator_tokens(rtxn)? {
separators = separators
.or_else(|| Some(default_separators.collect()))
.map(|separators| &separators - &non_separator_tokens);
}
Ok(separators)
}
/* dictionary */
pub(crate) fn put_dictionary(
&self,
wtxn: &mut RwTxn<'_>,
set: &BTreeSet<String>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<_>>().put(wtxn, main_key::DICTIONARY_KEY, set)
}
pub(crate) fn delete_dictionary(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::DICTIONARY_KEY)
}
pub fn dictionary(&self, rtxn: &RoTxn<'_>) -> Result<Option<BTreeSet<String>>> {
Ok(self
.main
.remap_types::<Str, SerdeBincode<BTreeSet<String>>>()
.get(rtxn, main_key::DICTIONARY_KEY)?)
}
/* synonyms */
pub(crate) fn put_synonyms(
&self,
wtxn: &mut RwTxn<'_>,
synonyms: &HashMap<Vec<String>, Vec<Vec<String>>>,
user_defined_synonyms: &BTreeMap<String, Vec<String>>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<_>>().put(
wtxn,
main_key::SYNONYMS_KEY,
synonyms,
)?;
self.main.remap_types::<Str, SerdeBincode<_>>().put(
wtxn,
main_key::USER_DEFINED_SYNONYMS_KEY,
user_defined_synonyms,
)
}
pub(crate) fn delete_synonyms(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::SYNONYMS_KEY)?;
self.main.remap_key_type::<Str>().delete(wtxn, main_key::USER_DEFINED_SYNONYMS_KEY)
}
pub fn user_defined_synonyms(
&self,
rtxn: &RoTxn<'_>,
) -> heed::Result<BTreeMap<String, Vec<String>>> {
Ok(self
.main
.remap_types::<Str, SerdeBincode<_>>()
.get(rtxn, main_key::USER_DEFINED_SYNONYMS_KEY)?
.unwrap_or_default())
}
pub fn synonyms(
&self,
rtxn: &RoTxn<'_>,
) -> heed::Result<HashMap<Vec<String>, Vec<Vec<String>>>> {
Ok(self
.main
.remap_types::<Str, SerdeBincode<_>>()
.get(rtxn, main_key::SYNONYMS_KEY)?
.unwrap_or_default())
}
pub fn words_synonyms<S: AsRef<str>>(
&self,
rtxn: &RoTxn<'_>,
words: &[S],
) -> heed::Result<Option<Vec<Vec<String>>>> {
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 dictionary of the engine.
pub(crate) fn put_words_prefixes_fst<A: AsRef<[u8]>>(
&self,
wtxn: &mut RwTxn<'_>,
fst: &fst::Set<A>,
) -> heed::Result<()> {
self.main.remap_types::<Str, Bytes>().put(
wtxn,
main_key::WORDS_PREFIXES_FST_KEY,
fst.as_fst().as_bytes(),
)
}
/// Returns the FST which is the words prefixes dictionary of the engine.
pub fn words_prefixes_fst<'t>(&self, rtxn: &'t RoTxn<'t>) -> Result<fst::Set<Cow<'t, [u8]>>> {
match self.main.remap_types::<Str, Bytes>().get(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<Option<u64>> {
self.word_docids.remap_data_type::<RoaringBitmapLenCodec>().get(rtxn, word)
}
/* documents */
/// Returns an iterator over the requested compressed documents. The next item will be an error if a document is missing.
pub fn iter_compressed_documents<'a, 't: 'a>(
&'a self,
rtxn: &'t RoTxn<'t>,
ids: impl IntoIterator<Item = DocumentId> + 'a,
) -> Result<impl Iterator<Item = Result<(DocumentId, CompressedKvReaderU16<'t>)>> + 'a> {
Ok(ids.into_iter().map(move |id| {
let compressed = self
.documents
.get(rtxn, &id)?
.ok_or(UserError::UnknownInternalDocumentId { document_id: id })?;
Ok((id, compressed))
}))
}
/// Returns a [`Vec`] of the requested documents. Returns an error if a document is missing.
pub fn compressed_documents<'t>(
&self,
rtxn: &'t RoTxn<'t>,
ids: impl IntoIterator<Item = DocumentId>,
) -> Result<Vec<(DocumentId, CompressedKvReaderU16<'t>)>> {
self.iter_compressed_documents(rtxn, ids)?.collect()
}
/// Returns an iterator over all the documents in the index.
pub fn all_compressed_documents<'a, 't: 'a>(
&'a self,
rtxn: &'t RoTxn<'t>,
) -> Result<impl Iterator<Item = Result<(DocumentId, CompressedKvReaderU16<'t>)>> + 'a> {
self.iter_compressed_documents(rtxn, self.documents_ids(rtxn)?)
}
pub fn external_id_of<'a, 't: 'a>(
&'a self,
rtxn: &'t RoTxn<'t>,
ids: impl IntoIterator<Item = DocumentId> + 'a,
) -> Result<impl IntoIterator<Item = Result<String>> + 'a> {
let fields = self.fields_ids_map(rtxn)?;
// uses precondition "never called on an empty index"
let primary_key = self.primary_key(rtxn)?.ok_or(InternalError::DatabaseMissingEntry {
db_name: db_name::MAIN,
key: Some(main_key::PRIMARY_KEY_KEY),
})?;
let primary_key = PrimaryKey::new(primary_key, &fields).ok_or_else(|| {
InternalError::FieldIdMapMissingEntry(crate::FieldIdMapMissingEntry::FieldName {
field_name: primary_key.to_owned(),
process: "external_id_of",
})
})?;
let dictionary = self.document_compression_dictionary(rtxn)?;
let mut buffer = Vec::new();
Ok(self.iter_compressed_documents(rtxn, ids)?.map(move |entry| -> Result<_> {
let (_docid, compressed_obkv) = entry?;
let obkv = match dictionary {
// TODO manage this unwrap correctly
Some(dict) => compressed_obkv.decompress_with(&mut buffer, dict).unwrap(),
None => compressed_obkv.as_non_compressed(),
};
match primary_key.document_id(&obkv, &fields)? {
Ok(document_id) => Ok(document_id),
Err(_) => Err(InternalError::DocumentsError(
crate::documents::Error::InvalidDocumentFormat,
)
.into()),
}
}))
}
pub fn facets_distribution<'a>(&'a self, rtxn: &'a RoTxn<'a>) -> FacetDistribution<'a> {
FacetDistribution::new(rtxn, self)
}
pub fn search<'a>(&'a self, rtxn: &'a RoTxn<'a>) -> Search<'a> {
Search::new(rtxn, self)
}
/// Returns the index creation time.
pub fn created_at(&self, rtxn: &RoTxn<'_>) -> Result<OffsetDateTime> {
Ok(self
.main
.remap_types::<Str, SerdeJson<OffsetDateTime>>()
.get(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<OffsetDateTime> {
Ok(self
.main
.remap_types::<Str, SerdeJson<OffsetDateTime>>()
.get(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: &OffsetDateTime,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<OffsetDateTime>>().put(
wtxn,
main_key::UPDATED_AT_KEY,
time,
)
}
pub fn authorize_typos(&self, txn: &RoTxn<'_>) -> heed::Result<bool> {
// It is not possible to put a bool in heed with OwnedType, so we put a u8 instead. We
// identify 0 as being false, and anything else as true. The absence of a value is true,
// because by default, we authorize typos.
match self.main.remap_types::<Str, U8>().get(txn, main_key::AUTHORIZE_TYPOS)? {
Some(0) => Ok(false),
_ => Ok(true),
}
}
pub(crate) fn put_authorize_typos(&self, txn: &mut RwTxn<'_>, flag: bool) -> heed::Result<()> {
// It is not possible to put a bool in heed with OwnedType, so we put a u8 instead. We
// identify 0 as being false, and anything else as true. The absence of a value is true,
// because by default, we authorize typos.
self.main.remap_types::<Str, U8>().put(txn, main_key::AUTHORIZE_TYPOS, &(flag as u8))?;
Ok(())
}
pub fn min_word_len_one_typo(&self, txn: &RoTxn<'_>) -> heed::Result<u8> {
// It is not possible to put a bool in heed with OwnedType, so we put a u8 instead. We
// identify 0 as being false, and anything else as true. The absence of a value is true,
// because by default, we authorize typos.
Ok(self
.main
.remap_types::<Str, U8>()
.get(txn, main_key::ONE_TYPO_WORD_LEN)?
.unwrap_or(DEFAULT_MIN_WORD_LEN_ONE_TYPO))
}
pub(crate) fn put_min_word_len_one_typo(
&self,
txn: &mut RwTxn<'_>,
val: u8,
) -> heed::Result<()> {
// It is not possible to put a bool in heed with OwnedType, so we put a u8 instead. We
// identify 0 as being false, and anything else as true. The absence of a value is true,
// because by default, we authorize typos.
self.main.remap_types::<Str, U8>().put(txn, main_key::ONE_TYPO_WORD_LEN, &val)?;
Ok(())
}
pub fn min_word_len_two_typos(&self, txn: &RoTxn<'_>) -> heed::Result<u8> {
// It is not possible to put a bool in heed with OwnedType, so we put a u8 instead. We
// identify 0 as being false, and anything else as true. The absence of a value is true,
// because by default, we authorize typos.
Ok(self
.main
.remap_types::<Str, U8>()
.get(txn, main_key::TWO_TYPOS_WORD_LEN)?
.unwrap_or(DEFAULT_MIN_WORD_LEN_TWO_TYPOS))
}
pub(crate) fn put_min_word_len_two_typos(
&self,
txn: &mut RwTxn<'_>,
val: u8,
) -> heed::Result<()> {
// It is not possible to put a bool in heed with OwnedType, so we put a u8 instead. We
// identify 0 as being false, and anything else as true. The absence of a value is true,
// because by default, we authorize typos.
self.main.remap_types::<Str, U8>().put(txn, main_key::TWO_TYPOS_WORD_LEN, &val)?;
Ok(())
}
/// List the words on which typo are not allowed
pub fn exact_words<'t>(&self, txn: &'t RoTxn<'t>) -> Result<Option<fst::Set<Cow<'t, [u8]>>>> {
match self.main.remap_types::<Str, Bytes>().get(txn, main_key::EXACT_WORDS)? {
Some(bytes) => Ok(Some(fst::Set::new(bytes)?.map_data(Cow::Borrowed)?)),
None => Ok(None),
}
}
pub(crate) fn put_exact_words<A: AsRef<[u8]>>(
&self,
txn: &mut RwTxn<'_>,
words: &fst::Set<A>,
) -> Result<()> {
self.main.remap_types::<Str, Bytes>().put(
txn,
main_key::EXACT_WORDS,
words.as_fst().as_bytes(),
)?;
Ok(())
}
/// Returns the exact attributes: attributes for which typo is disallowed.
pub fn exact_attributes<'t>(&self, txn: &'t RoTxn<'t>) -> Result<Vec<&'t str>> {
Ok(self
.main
.remap_types::<Str, SerdeBincode<Vec<&str>>>()
.get(txn, main_key::EXACT_ATTRIBUTES)?
.unwrap_or_default())
}
/// Returns the list of exact attributes field ids.
pub fn exact_attributes_ids(&self, txn: &RoTxn<'_>) -> Result<HashSet<FieldId>> {
let attrs = self.exact_attributes(txn)?;
let fid_map = self.fields_ids_map(txn)?;
Ok(attrs.iter().filter_map(|attr| fid_map.id(attr)).collect())
}
/// Writes the exact attributes to the database.
pub(crate) fn put_exact_attributes(&self, txn: &mut RwTxn<'_>, attrs: &[&str]) -> Result<()> {
self.main.remap_types::<Str, SerdeBincode<&[&str]>>().put(
txn,
main_key::EXACT_ATTRIBUTES,
&attrs,
)?;
Ok(())
}
/// Clears the exact attributes from the store.
pub(crate) fn delete_exact_attributes(&self, txn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(txn, main_key::EXACT_ATTRIBUTES)
}
pub fn max_values_per_facet(&self, txn: &RoTxn<'_>) -> heed::Result<Option<u64>> {
self.main.remap_types::<Str, BEU64>().get(txn, main_key::MAX_VALUES_PER_FACET)
}
pub(crate) fn put_max_values_per_facet(
&self,
txn: &mut RwTxn<'_>,
val: u64,
) -> heed::Result<()> {
self.main.remap_types::<Str, BEU64>().put(txn, main_key::MAX_VALUES_PER_FACET, &val)
}
pub(crate) fn delete_max_values_per_facet(&self, txn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(txn, main_key::MAX_VALUES_PER_FACET)
}
pub fn sort_facet_values_by(&self, txn: &RoTxn<'_>) -> heed::Result<OrderByMap> {
let orders = self
.main
.remap_types::<Str, SerdeJson<OrderByMap>>()
.get(txn, main_key::SORT_FACET_VALUES_BY)?
.unwrap_or_default();
Ok(orders)
}
pub(crate) fn put_sort_facet_values_by(
&self,
txn: &mut RwTxn<'_>,
val: &OrderByMap,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<_>>().put(txn, main_key::SORT_FACET_VALUES_BY, &val)
}
pub(crate) fn delete_sort_facet_values_by(&self, txn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(txn, main_key::SORT_FACET_VALUES_BY)
}
pub fn pagination_max_total_hits(&self, txn: &RoTxn<'_>) -> heed::Result<Option<u64>> {
self.main.remap_types::<Str, BEU64>().get(txn, main_key::PAGINATION_MAX_TOTAL_HITS)
}
pub(crate) fn put_pagination_max_total_hits(
&self,
txn: &mut RwTxn<'_>,
val: u64,
) -> heed::Result<()> {
self.main.remap_types::<Str, BEU64>().put(txn, main_key::PAGINATION_MAX_TOTAL_HITS, &val)
}
pub(crate) fn delete_pagination_max_total_hits(
&self,
txn: &mut RwTxn<'_>,
) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(txn, main_key::PAGINATION_MAX_TOTAL_HITS)
}
pub fn proximity_precision(&self, txn: &RoTxn<'_>) -> heed::Result<Option<ProximityPrecision>> {
self.main
.remap_types::<Str, SerdeBincode<ProximityPrecision>>()
.get(txn, main_key::PROXIMITY_PRECISION)
}
pub(crate) fn put_proximity_precision(
&self,
txn: &mut RwTxn<'_>,
val: ProximityPrecision,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<ProximityPrecision>>().put(
txn,
main_key::PROXIMITY_PRECISION,
&val,
)
}
pub(crate) fn delete_proximity_precision(&self, txn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(txn, main_key::PROXIMITY_PRECISION)
}
/* script language docids */
/// Retrieve all the documents ids that correspond with (Script, Language) key, `None` if it is any.
pub fn script_language_documents_ids(
&self,
rtxn: &RoTxn<'_>,
key: &(Script, Language),
) -> heed::Result<Option<RoaringBitmap>> {
self.script_language_docids.get(rtxn, key)
}
pub fn script_language(
&self,
rtxn: &RoTxn<'_>,
) -> heed::Result<HashMap<Script, Vec<Language>>> {
let mut script_language: HashMap<Script, Vec<Language>> = HashMap::new();
let mut script_language_doc_count: Vec<(Script, Language, u64)> = Vec::new();
let mut total = 0;
for sl in self.script_language_docids.iter(rtxn)? {
let ((script, language), docids) = sl?;
// keep only Languages that contains at least 1 document.
let remaining_documents_count = docids.len();
total += remaining_documents_count;
if remaining_documents_count > 0 {
script_language_doc_count.push((script, language, remaining_documents_count));
}
}
let threshold = total / 20; // 5% (arbitrary)
for (script, language, count) in script_language_doc_count {
if count > threshold {
if let Some(languages) = script_language.get_mut(&script) {
(*languages).push(language);
} else {
script_language.insert(script, vec![language]);
}
}
}
Ok(script_language)
}
/// Put the embedding configs:
/// 1. The name of the embedder
/// 2. The configuration option for this embedder
/// 3. The list of documents with a user provided embedding
pub(crate) fn put_embedding_configs(
&self,
wtxn: &mut RwTxn<'_>,
configs: Vec<IndexEmbeddingConfig>,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeJson<Vec<IndexEmbeddingConfig>>>().put(
wtxn,
main_key::EMBEDDING_CONFIGS,
&configs,
)
}
pub(crate) fn delete_embedding_configs(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::EMBEDDING_CONFIGS)
}
pub fn embedding_configs(&self, rtxn: &RoTxn<'_>) -> Result<Vec<IndexEmbeddingConfig>> {
Ok(self
.main
.remap_types::<Str, SerdeJson<Vec<IndexEmbeddingConfig>>>()
.get(rtxn, main_key::EMBEDDING_CONFIGS)?
.unwrap_or_default())
}
pub fn arroy_readers<'a>(
&'a self,
rtxn: &'a RoTxn<'a>,
embedder_id: u8,
) -> impl Iterator<Item = Result<arroy::Reader<'a, arroy::distances::Angular>>> + 'a {
crate::vector::arroy_db_range_for_embedder(embedder_id).map_while(move |k| {
arroy::Reader::open(rtxn, k, self.vector_arroy)
.map(Some)
.or_else(|e| match e {
arroy::Error::MissingMetadata(_) => Ok(None),
e => Err(e.into()),
})
.transpose()
})
}
pub(crate) fn put_search_cutoff(&self, wtxn: &mut RwTxn<'_>, cutoff: u64) -> heed::Result<()> {
self.main.remap_types::<Str, BEU64>().put(wtxn, main_key::SEARCH_CUTOFF, &cutoff)
}
pub fn search_cutoff(&self, rtxn: &RoTxn<'_>) -> Result<Option<u64>> {
Ok(self.main.remap_types::<Str, BEU64>().get(rtxn, main_key::SEARCH_CUTOFF)?)
}
pub(crate) fn delete_search_cutoff(&self, wtxn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(wtxn, main_key::SEARCH_CUTOFF)
}
pub fn embeddings(
&self,
rtxn: &RoTxn<'_>,
docid: DocumentId,
) -> Result<BTreeMap<String, Vec<Embedding>>> {
let mut res = BTreeMap::new();
for row in self.embedder_category_id.iter(rtxn)? {
let (embedder_name, embedder_id) = row?;
let embedder_id = (embedder_id as u16) << 8;
let mut embeddings = Vec::new();
'vectors: for i in 0..=u8::MAX {
let reader = arroy::Reader::open(rtxn, embedder_id | (i as u16), self.vector_arroy)
.map(Some)
.or_else(|e| match e {
arroy::Error::MissingMetadata(_) => Ok(None),
e => Err(e),
})
.transpose();
let Some(reader) = reader else {
break 'vectors;
};
let embedding = reader?.item_vector(rtxn, docid)?;
if let Some(embedding) = embedding {
embeddings.push(embedding)
} else {
break 'vectors;
}
}
if !embeddings.is_empty() {
res.insert(embedder_name.to_owned(), embeddings);
}
}
Ok(res)
}
}
#[derive(Debug, Deserialize, Serialize)]
pub struct IndexEmbeddingConfig {
pub name: String,
pub config: EmbeddingConfig,
pub user_provided: RoaringBitmap,
}
#[cfg(test)]
pub(crate) mod tests {
use std::collections::HashSet;
use std::ops::Deref;
use big_s::S;
use heed::{EnvOpenOptions, RwTxn};
use maplit::{btreemap, hashset};
use tempfile::TempDir;
use crate::documents::DocumentsBatchReader;
use crate::error::{Error, InternalError};
use crate::index::{DEFAULT_MIN_WORD_LEN_ONE_TYPO, DEFAULT_MIN_WORD_LEN_TWO_TYPOS};
use crate::update::{
self, IndexDocuments, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Setting,
Settings,
};
use crate::vector::settings::{EmbedderSource, EmbeddingSettings};
use crate::{db_snap, obkv_to_json, Filter, Index, Search, SearchResult};
pub(crate) struct TempIndex {
pub inner: Index,
pub indexer_config: IndexerConfig,
pub index_documents_config: IndexDocumentsConfig,
_tempdir: TempDir,
}
impl Deref for TempIndex {
type Target = Index;
fn deref(&self) -> &Self::Target {
&self.inner
}
}
impl TempIndex {
/// Creates a temporary index
pub fn new_with_map_size(size: usize) -> Self {
let mut options = EnvOpenOptions::new();
options.map_size(size);
let _tempdir = TempDir::new_in(".").unwrap();
let inner = Index::new(options, _tempdir.path()).unwrap();
let indexer_config = IndexerConfig::default();
let index_documents_config = IndexDocumentsConfig::default();
Self { inner, indexer_config, index_documents_config, _tempdir }
}
/// Creates a temporary index, with a default `4096 * 2000` size. This should be enough for
/// most tests.
pub fn new() -> Self {
Self::new_with_map_size(4096 * 2000)
}
pub fn add_documents_using_wtxn<'t, R>(
&'t self,
wtxn: &mut RwTxn<'t>,
documents: DocumentsBatchReader<R>,
) -> Result<(), crate::error::Error>
where
R: std::io::Read + std::io::Seek,
{
let builder = IndexDocuments::new(
wtxn,
self,
&self.indexer_config,
self.index_documents_config.clone(),
|_| (),
|| false,
)
.unwrap();
let (builder, user_error) = builder.add_documents(documents).unwrap();
user_error?;
builder.execute()?;
Ok(())
}
pub fn add_documents<R>(
&self,
documents: DocumentsBatchReader<R>,
) -> Result<(), crate::error::Error>
where
R: std::io::Read + std::io::Seek,
{
let mut wtxn = self.write_txn().unwrap();
self.add_documents_using_wtxn(&mut wtxn, documents)?;
wtxn.commit().unwrap();
Ok(())
}
pub fn update_settings(
&self,
update: impl Fn(&mut Settings<'_, '_, '_>),
) -> Result<(), crate::error::Error> {
let mut wtxn = self.write_txn().unwrap();
self.update_settings_using_wtxn(&mut wtxn, update)?;
wtxn.commit().unwrap();
Ok(())
}
pub fn update_settings_using_wtxn<'t>(
&'t self,
wtxn: &mut RwTxn<'t>,
update: impl Fn(&mut Settings<'_, '_, '_>),
) -> Result<(), crate::error::Error> {
let mut builder = update::Settings::new(wtxn, &self.inner, &self.indexer_config);
update(&mut builder);
builder.execute(drop, || false)?;
Ok(())
}
pub fn delete_documents_using_wtxn<'t>(
&'t self,
wtxn: &mut RwTxn<'t>,
external_document_ids: Vec<String>,
) {
let builder = IndexDocuments::new(
wtxn,
self,
&self.indexer_config,
self.index_documents_config.clone(),
|_| (),
|| false,
)
.unwrap();
let (builder, user_error) = builder.remove_documents(external_document_ids).unwrap();
user_error.unwrap();
builder.execute().unwrap();
}
pub fn delete_documents(&self, external_document_ids: Vec<String>) {
let mut wtxn = self.write_txn().unwrap();
self.delete_documents_using_wtxn(&mut wtxn, external_document_ids);
wtxn.commit().unwrap();
}
pub fn delete_document(&self, external_document_id: &str) {
self.delete_documents(vec![external_document_id.to_string()])
}
}
#[test]
fn aborting_indexation() {
use std::sync::atomic::AtomicBool;
use std::sync::atomic::Ordering::Relaxed;
let index = TempIndex::new();
let mut wtxn = index.inner.write_txn().unwrap();
let should_abort = AtomicBool::new(false);
let builder = IndexDocuments::new(
&mut wtxn,
&index.inner,
&index.indexer_config,
index.index_documents_config.clone(),
|_| (),
|| should_abort.load(Relaxed),
)
.unwrap();
let (builder, user_error) = builder
.add_documents(documents!([
{ "id": 1, "name": "kevin" },
{ "id": 2, "name": "bob", "age": 20 },
{ "id": 2, "name": "bob", "age": 20 },
]))
.unwrap();
user_error.unwrap();
should_abort.store(true, Relaxed);
let err = builder.execute().unwrap_err();
assert!(matches!(err, Error::InternalError(InternalError::AbortedIndexation)));
}
#[test]
fn initial_field_distribution() {
let index = TempIndex::new();
index
.add_documents(documents!([
{ "id": 1, "name": "kevin" },
{ "id": 2, "name": "bob", "age": 20 },
{ "id": 2, "name": "bob", "age": 20 },
]))
.unwrap();
db_snap!(index, field_distribution, @r###"
age 1 |
id 2 |
name 2 |
"###);
db_snap!(index, word_docids,
@r###"
1 [0, ]
2 [1, ]
20 [1, ]
bob [1, ]
kevin [0, ]
"###
);
// we add all the documents a second time. we are supposed to get the same
// field_distribution in the end
index
.add_documents(documents!([
{ "id": 1, "name": "kevin" },
{ "id": 2, "name": "bob", "age": 20 },
{ "id": 2, "name": "bob", "age": 20 },
]))
.unwrap();
db_snap!(index, field_distribution,
@r###"
age 1 |
id 2 |
name 2 |
"###
);
// then we update a document by removing one field and another by adding one field
index
.add_documents(documents!([
{ "id": 1, "name": "kevin", "has_dog": true },
{ "id": 2, "name": "bob" }
]))
.unwrap();
db_snap!(index, field_distribution,
@r###"
has_dog 1 |
id 2 |
name 2 |
"###
);
}
#[test]
fn put_and_retrieve_disable_typo() {
let index = TempIndex::new();
let mut txn = index.write_txn().unwrap();
// default value is true
assert!(index.authorize_typos(&txn).unwrap());
// set to false
index.put_authorize_typos(&mut txn, false).unwrap();
txn.commit().unwrap();
let txn = index.read_txn().unwrap();
assert!(!index.authorize_typos(&txn).unwrap());
}
#[test]
fn set_min_word_len_for_typos() {
let index = TempIndex::new();
let mut txn = index.write_txn().unwrap();
assert_eq!(index.min_word_len_one_typo(&txn).unwrap(), DEFAULT_MIN_WORD_LEN_ONE_TYPO);
assert_eq!(index.min_word_len_two_typos(&txn).unwrap(), DEFAULT_MIN_WORD_LEN_TWO_TYPOS);
index.put_min_word_len_one_typo(&mut txn, 3).unwrap();
index.put_min_word_len_two_typos(&mut txn, 15).unwrap();
txn.commit().unwrap();
let txn = index.read_txn().unwrap();
assert_eq!(index.min_word_len_one_typo(&txn).unwrap(), 3);
assert_eq!(index.min_word_len_two_typos(&txn).unwrap(), 15);
}
#[test]
fn add_documents_and_set_searchable_fields() {
let index = TempIndex::new();
index
.add_documents(documents!([
{ "id": 1, "doggo": "kevin" },
{ "id": 2, "doggo": { "name": "bob", "age": 20 } },
{ "id": 3, "name": "jean", "age": 25 },
]))
.unwrap();
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("doggo"), S("name")]);
})
.unwrap();
// ensure we get the right real searchable fields + user defined searchable fields
let rtxn = index.read_txn().unwrap();
let real = index.searchable_fields(&rtxn).unwrap();
assert_eq!(real, &["doggo", "name", "doggo.name", "doggo.age"]);
let user_defined = index.user_defined_searchable_fields(&rtxn).unwrap().unwrap();
assert_eq!(user_defined, &["doggo", "name"]);
}
#[test]
fn set_searchable_fields_and_add_documents() {
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("doggo"), S("name")]);
})
.unwrap();
// ensure we get the right real searchable fields + user defined searchable fields
let rtxn = index.read_txn().unwrap();
let real = index.searchable_fields(&rtxn).unwrap();
assert_eq!(real, &["doggo", "name"]);
let user_defined = index.user_defined_searchable_fields(&rtxn).unwrap().unwrap();
assert_eq!(user_defined, &["doggo", "name"]);
index
.add_documents(documents!([
{ "id": 1, "doggo": "kevin" },
{ "id": 2, "doggo": { "name": "bob", "age": 20 } },
{ "id": 3, "name": "jean", "age": 25 },
]))
.unwrap();
// ensure we get the right real searchable fields + user defined searchable fields
let rtxn = index.read_txn().unwrap();
let real = index.searchable_fields(&rtxn).unwrap();
assert_eq!(real, &["doggo", "name", "doggo.name", "doggo.age"]);
let user_defined = index.user_defined_searchable_fields(&rtxn).unwrap().unwrap();
assert_eq!(user_defined, &["doggo", "name"]);
}
#[test]
fn test_basic_geo_bounding_box() {
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_filterable_fields(hashset! { S("_geo") });
})
.unwrap();
index
.add_documents(documents!([
{ "id": 0, "_geo": { "lat": "0", "lng": "0" } },
{ "id": 1, "_geo": { "lat": 0, "lng": "-175" } },
{ "id": 2, "_geo": { "lat": "0", "lng": 175 } },
{ "id": 3, "_geo": { "lat": 85, "lng": 0 } },
{ "id": 4, "_geo": { "lat": "-85", "lng": "0" } },
]))
.unwrap();
// ensure we get the right real searchable fields + user defined searchable fields
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
// exact match a document
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([0, 0], [0, 0])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[0]>");
// match a document in the middle of the rectangle
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([10, 10], [-10, -10])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[0]>");
// select everything
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([90, 180], [-90, -180])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[0, 1, 2, 3, 4]>");
// go on the edge of the longitude
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([0, -170], [0, 180])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[1]>");
// go on the other edge of the longitude
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([0, -180], [0, 170])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[2]>");
// wrap around the longitude
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([0, -170], [0, 170])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[1, 2]>");
// go on the edge of the latitude
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([90, 0], [80, 0])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[3]>");
// go on the edge of the latitude
let search_result = search
.filter(Filter::from_str("_geoBoundingBox([-80, 0], [-90, 0])").unwrap().unwrap())
.execute()
.unwrap();
insta::assert_debug_snapshot!(search_result.candidates, @"RoaringBitmap<[4]>");
// the requests that don't make sense
// try to wrap around the latitude
let error = search
.filter(Filter::from_str("_geoBoundingBox([-80, 0], [80, 0])").unwrap().unwrap())
.execute()
.unwrap_err();
insta::assert_snapshot!(
error,
@r###"
The top latitude `-80` is below the bottom latitude `80`.
32:33 _geoBoundingBox([-80, 0], [80, 0])
"###
);
// send a top latitude lower than the bottow latitude
let error = search
.filter(Filter::from_str("_geoBoundingBox([-10, 0], [10, 0])").unwrap().unwrap())
.execute()
.unwrap_err();
insta::assert_snapshot!(
error,
@r###"
The top latitude `-10` is below the bottom latitude `10`.
32:33 _geoBoundingBox([-10, 0], [10, 0])
"###
);
}
#[test]
fn replace_documents_external_ids_and_soft_deletion_check() {
use big_s::S;
use maplit::hashset;
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_primary_key("id".to_owned());
settings.set_filterable_fields(hashset! { S("doggo") });
})
.unwrap();
let mut docs = vec![];
for i in 0..4 {
docs.push(serde_json::json!(
{ "id": i, "doggo": i }
));
}
index.add_documents(documents!(docs)).unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, 3, ]");
db_snap!(index, external_documents_ids, 1, @r###"
docids:
0 0
1 1
2 2
3 3
"###);
db_snap!(index, facet_id_f64_docids, 1, @r###"
1 0 0 1 [0, ]
1 0 1 1 [1, ]
1 0 2 1 [2, ]
1 0 3 1 [3, ]
"###);
let mut docs = vec![];
for i in 0..3 {
docs.push(serde_json::json!(
{ "id": i, "doggo": i + 1 }
));
}
index.add_documents(documents!(docs)).unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, 3, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
0 0
1 1
2 2
3 3
"###);
db_snap!(index, facet_id_f64_docids, 2, @r###"
1 0 1 1 [0, ]
1 0 2 1 [1, ]
1 0 3 1 [2, 3, ]
"###);
index
.add_documents(documents!([{ "id": 3, "doggo": 4 }, { "id": 3, "doggo": 5 },{ "id": 3, "doggo": 4 }]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, 3, ]");
db_snap!(index, external_documents_ids, 3, @r###"
docids:
0 0
1 1
2 2
3 3
"###);
db_snap!(index, facet_id_f64_docids, 3, @r###"
1 0 1 1 [0, ]
1 0 2 1 [1, ]
1 0 3 1 [2, ]
1 0 4 1 [3, ]
"###);
index
.update_settings(|settings| {
settings.set_distinct_field("id".to_owned());
})
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, 3, ]");
db_snap!(index, external_documents_ids, 3, @r###"
docids:
0 0
1 1
2 2
3 3
"###);
db_snap!(index, facet_id_f64_docids, 3, @r###"
0 0 0 1 [0, ]
0 0 1 1 [1, ]
0 0 2 1 [2, ]
0 0 3 1 [3, ]
1 0 1 1 [0, ]
1 0 2 1 [1, ]
1 0 3 1 [2, ]
1 0 4 1 [3, ]
"###);
}
#[test]
fn bug_3021_first() {
// https://github.com/meilisearch/meilisearch/issues/3021
let mut index = TempIndex::new();
index.index_documents_config.update_method = IndexDocumentsMethod::ReplaceDocuments;
index
.update_settings(|settings| {
settings.set_primary_key("primary_key".to_owned());
})
.unwrap();
index
.add_documents(documents!([
{ "primary_key": 38 },
{ "primary_key": 34 }
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, ]");
db_snap!(index, external_documents_ids, 1, @r###"
docids:
34 1
38 0
"###);
index.delete_document("34");
db_snap!(index, documents_ids, @"[0, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
38 0
"###);
index
.update_settings(|s| {
s.set_searchable_fields(vec![]);
})
.unwrap();
// The key point of the test is to verify that the external documents ids
// do not contain any entry for previously soft-deleted document ids
db_snap!(index, documents_ids, @"[0, ]");
db_snap!(index, external_documents_ids, 3, @r###"
docids:
38 0
"###);
// So that this document addition works correctly now.
// It would be wrongly interpreted as a replacement before
index.add_documents(documents!({ "primary_key": 34 })).unwrap();
db_snap!(index, documents_ids, @"[0, 1, ]");
db_snap!(index, external_documents_ids, 4, @r###"
docids:
34 1
38 0
"###);
// We do the test again, but deleting the document with id 0 instead of id 1 now
index.delete_document("38");
db_snap!(index, documents_ids, @"[1, ]");
db_snap!(index, external_documents_ids, 5, @r###"
docids:
34 1
"###);
index
.update_settings(|s| {
s.set_searchable_fields(vec!["primary_key".to_owned()]);
})
.unwrap();
db_snap!(index, documents_ids, @"[1, ]");
db_snap!(index, external_documents_ids, 6, @r###"
docids:
34 1
"###);
// And adding lots of documents afterwards instead of just one.
// These extra subtests don't add much, but it's better than nothing.
index.add_documents(documents!([{ "primary_key": 38 }, { "primary_key": 39 }, { "primary_key": 41 }, { "primary_key": 40 }, { "primary_key": 41 }, { "primary_key": 42 }])).unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, 3, 4, 5, ]");
db_snap!(index, external_documents_ids, 7, @r###"
docids:
34 1
38 0
39 2
40 4
41 3
42 5
"###);
}
#[test]
fn simple_delete() {
let mut index = TempIndex::new();
index.index_documents_config.update_method = IndexDocumentsMethod::UpdateDocuments;
index
.add_documents(documents!([
{ "id": 30 },
{ "id": 34 }
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, ]");
db_snap!(index, external_documents_ids, 1, @r###"
docids:
30 0
34 1"###);
index.delete_document("34");
db_snap!(index, documents_ids, @"[0, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
30 0
"###);
}
#[test]
fn bug_3021_second() {
// https://github.com/meilisearch/meilisearch/issues/3021
let mut index = TempIndex::new();
index.index_documents_config.update_method = IndexDocumentsMethod::UpdateDocuments;
index
.update_settings(|settings| {
settings.set_primary_key("primary_key".to_owned());
})
.unwrap();
index
.add_documents(documents!([
{ "primary_key": 30 },
{ "primary_key": 34 }
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, ]");
db_snap!(index, external_documents_ids, 1, @r###"
docids:
30 0
34 1
"###);
index.delete_document("34");
db_snap!(index, documents_ids, @"[0, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
30 0
"###);
index
.update_settings(|s| {
s.set_searchable_fields(vec![]);
})
.unwrap();
// The key point of the test is to verify that the external documents ids
// do not contain any entry for previously soft-deleted document ids
db_snap!(index, documents_ids, @"[0, ]");
db_snap!(index, external_documents_ids, 3, @r###"
docids:
30 0
"###);
// So that when we add a new document
index.add_documents(documents!({ "primary_key": 35, "b": 2 })).unwrap();
db_snap!(index, documents_ids, @"[0, 1, ]");
// The external documents ids don't have several external ids pointing to the same
// internal document id
db_snap!(index, external_documents_ids, 4, @r###"
docids:
30 0
35 1
"###);
// And when we add 34 again, we don't replace document 35
index.add_documents(documents!({ "primary_key": 34, "a": 1 })).unwrap();
// And document 35 still exists, is not deleted
db_snap!(index, documents_ids, @"[0, 1, 2, ]");
db_snap!(index, external_documents_ids, 5, @r###"
docids:
30 0
34 2
35 1
"###);
let rtxn = index.read_txn().unwrap();
let dictionary = index.document_compression_dictionary(&rtxn).unwrap();
let (_docid, compressed_obkv) = index.compressed_documents(&rtxn, [0]).unwrap()[0];
let mut buffer = Vec::new();
let obkv = match dictionary {
Some(dict) => compressed_obkv.decompress_with(&mut buffer, dict).unwrap(),
None => compressed_obkv.as_non_compressed(),
};
let json = obkv_to_json(&[0, 1, 2], &index.fields_ids_map(&rtxn).unwrap(), obkv).unwrap();
insta::assert_debug_snapshot!(json, @r###"
{
"primary_key": Number(30),
}
"###);
// Furthermore, when we retrieve document 34, it is not the result of merging 35 with 34
let (_docid, compressed_obkv) = index.compressed_documents(&rtxn, [2]).unwrap()[0];
let obkv = match dictionary {
Some(dict) => compressed_obkv.decompress_with(&mut buffer, dict).unwrap(),
None => compressed_obkv.as_non_compressed(),
};
let json = obkv_to_json(&[0, 1, 2], &index.fields_ids_map(&rtxn).unwrap(), obkv).unwrap();
insta::assert_debug_snapshot!(json, @r###"
{
"primary_key": Number(34),
"a": Number(1),
}
"###);
drop(rtxn);
// Add new documents again
index
.add_documents(
documents!([{ "primary_key": 37 }, { "primary_key": 38 }, { "primary_key": 39 }]),
)
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, 3, 4, 5, ]");
db_snap!(index, external_documents_ids, 6, @r###"
docids:
30 0
34 2
35 1
37 3
38 4
39 5
"###);
}
#[test]
fn bug_3021_third() {
// https://github.com/meilisearch/meilisearch/issues/3021
let mut index = TempIndex::new();
index.index_documents_config.update_method = IndexDocumentsMethod::UpdateDocuments;
index
.update_settings(|settings| {
settings.set_primary_key("primary_key".to_owned());
})
.unwrap();
index
.add_documents(documents!([
{ "primary_key": 3 },
{ "primary_key": 4 },
{ "primary_key": 5 }
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, ]");
db_snap!(index, external_documents_ids, 1, @r###"
docids:
3 0
4 1
5 2
"###);
index.delete_document("3");
db_snap!(index, documents_ids, @"[1, 2, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
4 1
5 2
"###);
index.add_documents(documents!([{ "primary_key": "4", "a": 2 }])).unwrap();
db_snap!(index, documents_ids, @"[1, 2, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
4 1
5 2
"###);
index
.add_documents(documents!([
{ "primary_key": "3" },
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, ]");
db_snap!(index, external_documents_ids, 2, @r###"
docids:
3 0
4 1
5 2
"###);
}
#[test]
fn bug_3021_fourth() {
// https://github.com/meilisearch/meilisearch/issues/3021
let mut index = TempIndex::new();
index.index_documents_config.update_method = IndexDocumentsMethod::UpdateDocuments;
index
.update_settings(|settings| {
settings.set_primary_key("primary_key".to_owned());
})
.unwrap();
index
.add_documents(documents!([
{ "primary_key": 11 },
{ "primary_key": 4 },
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, ]");
db_snap!(index, external_documents_ids, @r###"
docids:
11 0
4 1
"###);
db_snap!(index, fields_ids_map, @r###"
0 primary_key |
"###);
db_snap!(index, searchable_fields, @r###"["primary_key"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
"###);
index
.add_documents(documents!([
{ "primary_key": 4, "a": 0 },
{ "primary_key": 1 },
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, ]");
db_snap!(index, external_documents_ids, @r###"
docids:
1 2
11 0
4 1
"###);
db_snap!(index, fields_ids_map, @r###"
0 primary_key |
1 a |
"###);
db_snap!(index, searchable_fields, @r###"["primary_key", "a"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
1 0 |
"###);
index.delete_documents(Default::default());
db_snap!(index, documents_ids, @"[0, 1, 2, ]");
db_snap!(index, external_documents_ids, @r###"
docids:
1 2
11 0
4 1
"###);
db_snap!(index, fields_ids_map, @r###"
0 primary_key |
1 a |
"###);
db_snap!(index, searchable_fields, @r###"["primary_key", "a"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
1 0 |
"###);
index
.add_documents(documents!([
{ "primary_key": 4, "a": 1 },
{ "primary_key": 1, "a": 0 },
]))
.unwrap();
db_snap!(index, documents_ids, @"[0, 1, 2, ]");
db_snap!(index, external_documents_ids, @r###"
docids:
1 2
11 0
4 1
"###);
db_snap!(index, fields_ids_map, @r###"
0 primary_key |
1 a |
"###);
db_snap!(index, searchable_fields, @r###"["primary_key", "a"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
1 0 |
"###);
let rtxn = index.read_txn().unwrap();
let search = Search::new(&rtxn, &index);
let SearchResult {
matching_words: _,
candidates: _,
document_scores: _,
mut documents_ids,
degraded: _,
used_negative_operator: _,
} = search.execute().unwrap();
let primary_key_id = index.fields_ids_map(&rtxn).unwrap().id("primary_key").unwrap();
documents_ids.sort_unstable();
let docs = index.compressed_documents(&rtxn, documents_ids).unwrap();
let mut all_ids = HashSet::new();
for (_docid, obkv) in docs {
let id = obkv.get(primary_key_id).unwrap();
assert!(all_ids.insert(id));
}
}
#[test]
fn bug_3007() {
// https://github.com/meilisearch/meilisearch/issues/3007
use crate::error::{GeoError, UserError};
let index = TempIndex::new();
// Given is an index with a geo field NOT contained in the sortable_fields of the settings
index
.update_settings(|settings| {
settings.set_primary_key("id".to_string());
settings.set_filterable_fields(HashSet::from(["_geo".to_string()]));
})
.unwrap();
// happy path
index.add_documents(documents!({ "id" : 5, "_geo": {"lat": 12.0, "lng": 11.0}})).unwrap();
db_snap!(index, geo_faceted_documents_ids);
// both are unparseable, we expect GeoError::BadLatitudeAndLongitude
let err1 = index
.add_documents(
documents!({ "id" : 6, "_geo": {"lat": "unparseable", "lng": "unparseable"}}),
)
.unwrap_err();
assert!(matches!(
err1,
Error::UserError(UserError::InvalidGeoField(GeoError::BadLatitudeAndLongitude { .. }))
));
db_snap!(index, geo_faceted_documents_ids); // ensure that no more document was inserted
}
#[test]
fn unexpected_extra_fields_in_geo_field() {
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_primary_key("id".to_string());
settings.set_filterable_fields(HashSet::from(["_geo".to_string()]));
})
.unwrap();
let err = index
.add_documents(
documents!({ "id" : "doggo", "_geo": { "lat": 1, "lng": 2, "doggo": "are the best" }}),
)
.unwrap_err();
insta::assert_snapshot!(err, @r###"The `_geo` field in the document with the id: `"\"doggo\""` contains the following unexpected fields: `{"doggo":"are the best"}`."###);
db_snap!(index, geo_faceted_documents_ids); // ensure that no documents were inserted
// multiple fields and complex values
let err = index
.add_documents(
documents!({ "id" : "doggo", "_geo": { "lat": 1, "lng": 2, "doggo": "are the best", "and": { "all": ["cats", { "are": "beautiful" } ] } } }),
)
.unwrap_err();
insta::assert_snapshot!(err, @r###"The `_geo` field in the document with the id: `"\"doggo\""` contains the following unexpected fields: `{"and":{"all":["cats",{"are":"beautiful"}]},"doggo":"are the best"}`."###);
db_snap!(index, geo_faceted_documents_ids); // ensure that no documents were inserted
}
#[test]
fn swapping_searchable_attributes() {
// See https://github.com/meilisearch/meilisearch/issues/4484
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("name")]);
settings.set_filterable_fields(HashSet::from([S("age")]));
})
.unwrap();
index
.add_documents(documents!({ "id": 1, "name": "Many", "age": 28, "realName": "Maxime" }))
.unwrap();
db_snap!(index, fields_ids_map, @r###"
0 name |
1 id |
2 age |
3 realName |
"###);
db_snap!(index, searchable_fields, @r###"["name"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
"###);
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("name"), S("realName")]);
settings.set_filterable_fields(HashSet::from([S("age")]));
})
.unwrap();
// The order of the field id map shouldn't change
db_snap!(index, fields_ids_map, @r###"
0 name |
1 id |
2 age |
3 realName |
"###);
db_snap!(index, searchable_fields, @r###"["name", "realName"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
3 1 |
"###);
}
#[test]
fn attribute_weights_after_swapping_searchable_attributes() {
// See https://github.com/meilisearch/meilisearch/issues/4484
let index = TempIndex::new();
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("name"), S("beverage")]);
})
.unwrap();
index
.add_documents(documents!([
{ "id": 0, "name": "kefir", "beverage": "water" },
{ "id": 1, "name": "tamo", "beverage": "kefir" }
]))
.unwrap();
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
let results = search.query("kefir").execute().unwrap();
// We should find kefir the dog first
insta::assert_debug_snapshot!(results.documents_ids, @r###"
[
0,
1,
]
"###);
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("beverage"), S("name")]);
})
.unwrap();
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
let results = search.query("kefir").execute().unwrap();
// We should find tamo first
insta::assert_debug_snapshot!(results.documents_ids, @r###"
[
1,
0,
]
"###);
}
#[test]
fn vectors_are_never_indexed_as_searchable_or_filterable() {
let index = TempIndex::new();
index
.add_documents(documents!([
{ "id": 0, "_vectors": { "doggo": [2345] } },
{ "id": 1, "_vectors": { "doggo": [6789] } },
]))
.unwrap();
db_snap!(index, fields_ids_map, @r###"
0 id |
1 _vectors |
2 _vectors.doggo |
"###);
db_snap!(index, searchable_fields, @r###"["id"]"###);
db_snap!(index, fieldids_weights_map, @r###"
fid weight
0 0 |
"###);
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
let results = search.query("2345").execute().unwrap();
assert!(results.candidates.is_empty());
drop(rtxn);
index
.update_settings(|settings| {
settings.set_searchable_fields(vec![S("_vectors"), S("_vectors.doggo")]);
settings.set_filterable_fields(hashset![S("_vectors"), S("_vectors.doggo")]);
})
.unwrap();
db_snap!(index, fields_ids_map, @r###"
0 id |
1 _vectors |
2 _vectors.doggo |
"###);
db_snap!(index, searchable_fields, @"[]");
db_snap!(index, fieldids_weights_map, @r###"
fid weight
"###);
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
let results = search.query("2345").execute().unwrap();
assert!(results.candidates.is_empty());
let mut search = index.search(&rtxn);
let results = search
.filter(Filter::from_str("_vectors.doggo = 6789").unwrap().unwrap())
.execute()
.unwrap();
assert!(results.candidates.is_empty());
index
.update_settings(|settings| {
settings.set_embedder_settings(btreemap! {
S("doggo") => Setting::Set(EmbeddingSettings {
dimensions: Setting::Set(1),
source: Setting::Set(EmbedderSource::UserProvided),
..EmbeddingSettings::default()}),
});
})
.unwrap();
db_snap!(index, fields_ids_map, @r###"
0 id |
1 _vectors |
2 _vectors.doggo |
"###);
db_snap!(index, searchable_fields, @"[]");
db_snap!(index, fieldids_weights_map, @r###"
fid weight
"###);
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
let results = search.query("2345").execute().unwrap();
assert!(results.candidates.is_empty());
let mut search = index.search(&rtxn);
let results = search
.filter(Filter::from_str("_vectors.doggo = 6789").unwrap().unwrap())
.execute()
.unwrap();
assert!(results.candidates.is_empty());
}
}
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