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add field id word count database

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many 2021-05-27 15:27:41 +02:00
parent 2f5e61bacb
commit 4ddf008be2
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GPG Key ID: 2CEF23B75189EACA
9 changed files with 109 additions and 5 deletions
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22
milli/src/heed_codec/field_id_word_count_codec.rs Normal file
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@ -0,0 +1,22 @@
use std::{borrow::Cow, convert::TryInto};
use crate::FieldId;
pub struct FieldIdWordCountCodec;
impl<'a> heed::BytesDecode<'a> for FieldIdWordCountCodec {
type DItem = (FieldId, u8);
fn bytes_decode(bytes: &'a [u8]) -> Option<Self::DItem> {
let [field_id, word_count]: [u8; 2] = bytes.try_into().ok()?;
Some((field_id, word_count))
}
}
impl<'a> heed::BytesEncode<'a> for FieldIdWordCountCodec {
type EItem = (FieldId, u8);
fn bytes_encode((field_id, word_count): &Self::EItem) -> Option<Cow<[u8]>> {
Some(Cow::Owned(vec![*field_id, *word_count]))
}
}

2
milli/src/heed_codec/mod.rs
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@ -4,6 +4,7 @@ mod roaring_bitmap;
mod roaring_bitmap_length;
mod str_level_position_codec;
mod str_str_u8_codec;
mod field_id_word_count_codec;
pub mod facet;
pub use self::beu32_str_codec::BEU32StrCodec;
@ -12,3 +13,4 @@ pub use self::roaring_bitmap::{BoRoaringBitmapCodec, CboRoaringBitmapCodec, Roar
pub use self::roaring_bitmap_length::{BoRoaringBitmapLenCodec, CboRoaringBitmapLenCodec, RoaringBitmapLenCodec};
pub use self::str_level_position_codec::StrLevelPositionCodec;
pub use self::str_str_u8_codec::StrStrU8Codec;
pub use self::field_id_word_count_codec::FieldIdWordCountCodec;

9
milli/src/index.rs
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@ -13,6 +13,7 @@ use crate::{BEU32, DocumentId, ExternalDocumentsIds, FieldId};
use crate::{
BEU32StrCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec,
ObkvCodec, RoaringBitmapCodec, RoaringBitmapLenCodec, StrLevelPositionCodec, StrStrU8Codec,
FieldIdWordCountCodec,
};
use crate::heed_codec::facet::{
FieldDocIdFacetF64Codec, FieldDocIdFacetStringCodec,
@ -60,9 +61,11 @@ pub struct Index {
pub word_pair_proximity_docids: Database<StrStrU8Codec, CboRoaringBitmapCodec>,
/// 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<StrStrU8Codec, CboRoaringBitmapCodec>,
/// Maps the word, level and position range with the docids that corresponds to it.
pub word_level_position_docids: Database<StrLevelPositionCodec, 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 level positions of a word prefix with all the docids where this prefix appears.
pub word_prefix_level_position_docids: Database<StrLevelPositionCodec, CboRoaringBitmapCodec>,
@ -82,7 +85,7 @@ pub struct Index {
impl Index {
pub fn new<P: AsRef<Path>>(mut options: heed::EnvOpenOptions, path: P) -> anyhow::Result<Index> {
options.max_dbs(13);
options.max_dbs(14);
let env = options.open(path)?;
let main = env.create_poly_database(Some("main"))?;
@ -92,6 +95,7 @@ impl Index {
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"))?;
@ -111,6 +115,7 @@ impl Index {
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,

2
milli/src/lib.rs
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@ -23,7 +23,7 @@ use serde_json::{Map, Value};
pub use self::criterion::{Criterion, default_criteria};
pub use self::external_documents_ids::ExternalDocumentsIds;
pub use self::fields_ids_map::FieldsIdsMap;
pub use self::heed_codec::{BEU32StrCodec, StrStrU8Codec, StrLevelPositionCodec, ObkvCodec};
pub use self::heed_codec::{BEU32StrCodec, StrStrU8Codec, StrLevelPositionCodec, ObkvCodec, FieldIdWordCountCodec};
pub use self::heed_codec::{RoaringBitmapCodec, BoRoaringBitmapCodec, CboRoaringBitmapCodec};
pub use self::heed_codec::{RoaringBitmapLenCodec, BoRoaringBitmapLenCodec, CboRoaringBitmapLenCodec};
pub use self::index::Index;

3
milli/src/update/clear_documents.rs
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@ -29,6 +29,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
word_pair_proximity_docids,
word_prefix_pair_proximity_docids,
word_level_position_docids,
field_id_word_count_docids,
word_prefix_level_position_docids,
facet_id_f64_docids,
facet_id_string_docids,
@ -62,6 +63,7 @@ impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
word_pair_proximity_docids.clear(self.wtxn)?;
word_prefix_pair_proximity_docids.clear(self.wtxn)?;
word_level_position_docids.clear(self.wtxn)?;
field_id_word_count_docids.clear(self.wtxn)?;
word_prefix_level_position_docids.clear(self.wtxn)?;
facet_id_f64_docids.clear(self.wtxn)?;
facet_id_string_docids.clear(self.wtxn)?;
@ -117,6 +119,7 @@ mod tests {
assert!(index.word_prefix_docids.is_empty(&rtxn).unwrap());
assert!(index.docid_word_positions.is_empty(&rtxn).unwrap());
assert!(index.word_pair_proximity_docids.is_empty(&rtxn).unwrap());
assert!(index.field_id_word_count_docids.is_empty(&rtxn).unwrap());
assert!(index.word_prefix_pair_proximity_docids.is_empty(&rtxn).unwrap());
assert!(index.facet_id_f64_docids.is_empty(&rtxn).unwrap());
assert!(index.facet_id_string_docids.is_empty(&rtxn).unwrap());

15
milli/src/update/delete_documents.rs
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@ -86,6 +86,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
word_prefix_docids,
docid_word_positions,
word_pair_proximity_docids,
field_id_word_count_docids,
word_prefix_pair_proximity_docids,
word_level_position_docids,
word_prefix_level_position_docids,
@ -316,6 +317,20 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
drop(iter);
// Remove the documents ids from field id word count database.
let mut iter = field_id_word_count_docids.iter_mut(self.wtxn)?;
while let Some((key, mut docids)) = iter.next().transpose()? {
let previous_len = docids.len();
docids.difference_with(&self.documents_ids);
if docids.is_empty() {
iter.del_current()?;
} else if docids.len() != previous_len {
iter.put_current(&key, &docids)?;
}
}
drop(iter);
// We delete the documents ids that are under the facet field id values.
remove_docids_from_facet_field_id_value_docids(
self.wtxn,

4
milli/src/update/index_documents/merge_function.rs
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@ -60,6 +60,10 @@ pub fn word_level_position_docids_merge(_key: &[u8], values: &[Cow<[u8]>]) -> an
cbo_roaring_bitmap_merge(values)
}
pub fn field_id_word_count_docids_merge(_key: &[u8], values: &[Cow<[u8]>]) -> anyhow::Result<Vec<u8>> {
cbo_roaring_bitmap_merge(values)
}
pub fn facet_field_value_docids_merge(_key: &[u8], values: &[Cow<[u8]>]) -> anyhow::Result<Vec<u8>> {
cbo_roaring_bitmap_merge(values)
}

23
milli/src/update/index_documents/mod.rs
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@ -29,6 +29,7 @@ pub use self::merge_function::{
docid_word_positions_merge, documents_merge,
word_level_position_docids_merge, word_prefix_level_positions_docids_merge,
facet_field_value_docids_merge, field_id_docid_facet_values_merge,
field_id_word_count_docids_merge,
};
pub use self::transform::{Transform, TransformOutput};
@ -412,6 +413,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
Main,
WordDocids,
WordLevel0PositionDocids,
FieldIdWordCountDocids,
FacetLevel0NumbersDocids,
}
@ -476,6 +478,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
let mut docid_word_positions_readers = Vec::with_capacity(readers.len());
let mut words_pairs_proximities_docids_readers = Vec::with_capacity(readers.len());
let mut word_level_position_docids_readers = Vec::with_capacity(readers.len());
let mut field_id_word_count_docids_readers = Vec::with_capacity(readers.len());
let mut facet_field_numbers_docids_readers = Vec::with_capacity(readers.len());
let mut facet_field_strings_docids_readers = Vec::with_capacity(readers.len());
let mut field_id_docid_facet_numbers_readers = Vec::with_capacity(readers.len());
@ -488,6 +491,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
docid_word_positions,
words_pairs_proximities_docids,
word_level_position_docids,
field_id_word_count_docids,
facet_field_numbers_docids,
facet_field_strings_docids,
field_id_docid_facet_numbers,
@ -499,6 +503,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
docid_word_positions_readers.push(docid_word_positions);
words_pairs_proximities_docids_readers.push(words_pairs_proximities_docids);
word_level_position_docids_readers.push(word_level_position_docids);
field_id_word_count_docids_readers.push(field_id_word_count_docids);
facet_field_numbers_docids_readers.push(facet_field_numbers_docids);
facet_field_strings_docids_readers.push(facet_field_strings_docids);
field_id_docid_facet_numbers_readers.push(field_id_docid_facet_numbers);
@ -536,6 +541,11 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
word_level_position_docids_readers,
word_level_position_docids_merge,
),
(
DatabaseType::FieldIdWordCountDocids,
field_id_word_count_docids_readers,
field_id_word_count_docids_merge,
),
]
.into_par_iter()
.for_each(|(dbtype, readers, merge)| {
@ -595,7 +605,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
self.index.put_documents_ids(self.wtxn, &documents_ids)?;
let mut database_count = 0;
let total_databases = 10;
let total_databases = 11;
progress_callback(UpdateIndexingStep::MergeDataIntoFinalDatabase {
databases_seen: 0,
@ -727,6 +737,17 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
write_method,
)?;
},
DatabaseType::FieldIdWordCountDocids => {
debug!("Writing the field id word count docids into LMDB on disk...");
let db = *self.index.field_id_word_count_docids.as_polymorph();
write_into_lmdb_database(
self.wtxn,
db,
content,
field_id_word_count_docids_merge,
write_method,
)?;
},
DatabaseType::WordLevel0PositionDocids => {
debug!("Writing the word level 0 positions docids into LMDB on disk...");
let db = *self.index.word_level_position_docids.as_polymorph();

34
milli/src/update/index_documents/store.rs
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@ -29,7 +29,7 @@ use super::{MergeFn, create_writer, create_sorter, writer_into_reader};
use super::merge_function::{
main_merge, word_docids_merge, words_pairs_proximities_docids_merge,
word_level_position_docids_merge, facet_field_value_docids_merge,
field_id_docid_facet_values_merge,
field_id_docid_facet_values_merge, field_id_word_count_docids_merge,
};
const LMDB_MAX_KEY_LENGTH: usize = 511;
@ -44,6 +44,7 @@ pub struct Readers {
pub docid_word_positions: Reader<FileFuse>,
pub words_pairs_proximities_docids: Reader<FileFuse>,
pub word_level_position_docids: Reader<FileFuse>,
pub field_id_word_count_docids: Reader<FileFuse>,
pub facet_field_numbers_docids: Reader<FileFuse>,
pub facet_field_strings_docids: Reader<FileFuse>,
pub field_id_docid_facet_numbers: Reader<FileFuse>,
@ -58,6 +59,7 @@ pub struct Store<'s, A> {
// Caches
word_docids: LinkedHashMap<SmallVec32<u8>, RoaringBitmap>,
word_docids_limit: usize,
field_id_word_count_docids: HashMap<(u8, u8), RoaringBitmap>,
words_pairs_proximities_docids: LinkedHashMap<(SmallVec32<u8>, SmallVec32<u8>, u8), RoaringBitmap>,
words_pairs_proximities_docids_limit: usize,
facet_field_number_docids: LinkedHashMap<(FieldId, OrderedFloat<f64>), RoaringBitmap>,
@ -72,6 +74,7 @@ pub struct Store<'s, A> {
word_docids_sorter: Sorter<MergeFn>,
words_pairs_proximities_docids_sorter: Sorter<MergeFn>,
word_level_position_docids_sorter: Sorter<MergeFn>,
field_id_word_count_docids_sorter: Sorter<MergeFn>,
facet_field_numbers_docids_sorter: Sorter<MergeFn>,
facet_field_strings_docids_sorter: Sorter<MergeFn>,
field_id_docid_facet_numbers_sorter: Sorter<MergeFn>,
@ -132,6 +135,14 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
max_nb_chunks,
max_memory,
);
let field_id_word_count_docids_sorter = create_sorter(
field_id_word_count_docids_merge,
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
max_nb_chunks,
max_memory,
);
let facet_field_numbers_docids_sorter = create_sorter(
facet_field_value_docids_merge,
chunk_compression_type,
@ -184,6 +195,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
faceted_fields,
// Caches
word_docids: LinkedHashMap::with_capacity(linked_hash_map_size),
field_id_word_count_docids: HashMap::new(),
word_docids_limit: linked_hash_map_size,
words_pairs_proximities_docids: LinkedHashMap::with_capacity(linked_hash_map_size),
words_pairs_proximities_docids_limit: linked_hash_map_size,
@ -199,6 +211,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
word_docids_sorter,
words_pairs_proximities_docids_sorter,
word_level_position_docids_sorter,
field_id_word_count_docids_sorter,
facet_field_numbers_docids_sorter,
facet_field_strings_docids_sorter,
field_id_docid_facet_numbers_sorter,
@ -620,10 +633,17 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
let analyzed = self.analyzer.analyze(&content);
let tokens = process_tokens(analyzed.tokens());
let mut last_pos = None;
for (pos, token) in tokens.take_while(|(pos, _)| *pos < MAX_POSITION) {
last_pos = Some(pos);
let position = (attr as usize * MAX_POSITION + pos) as u32;
words_positions.entry(token.text().to_string()).or_insert_with(SmallVec32::new).push(position);
}
if let Some(last_pos) = last_pos.filter(|p| *p <= 10) {
let key = (attr, last_pos as u8 + 1);
self.field_id_word_count_docids.entry(key).or_insert_with(RoaringBitmap::new).insert(document_id);
}
}
}
}
@ -683,6 +703,13 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
word_docids_wtr.insert(word, val)?;
}
let mut docids_buffer = Vec::new();
for ((fid, count), docids) in self.field_id_word_count_docids {
docids_buffer.clear();
CboRoaringBitmapCodec::serialize_into(&docids, &mut docids_buffer)?;
self.field_id_word_count_docids_sorter.insert([fid, count], &docids_buffer)?;
}
let fst = builder.into_set();
self.main_sorter.insert(WORDS_FST_KEY, fst.as_fst().as_bytes())?;
@ -695,6 +722,9 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
let mut word_level_position_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.word_level_position_docids_sorter.write_into(&mut word_level_position_docids_wtr)?;
let mut field_id_word_count_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.field_id_word_count_docids_sorter.write_into(&mut field_id_word_count_docids_wtr)?;
let mut facet_field_numbers_docids_wtr = tempfile().and_then(|f| create_writer(comp_type, comp_level, f))?;
self.facet_field_numbers_docids_sorter.write_into(&mut facet_field_numbers_docids_wtr)?;
@ -711,6 +741,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
let word_docids = writer_into_reader(word_docids_wtr, shrink_size)?;
let words_pairs_proximities_docids = writer_into_reader(words_pairs_proximities_docids_wtr, shrink_size)?;
let word_level_position_docids = writer_into_reader(word_level_position_docids_wtr, shrink_size)?;
let field_id_word_count_docids = writer_into_reader(field_id_word_count_docids_wtr, shrink_size)?;
let facet_field_numbers_docids = writer_into_reader(facet_field_numbers_docids_wtr, shrink_size)?;
let facet_field_strings_docids = writer_into_reader(facet_field_strings_docids_wtr, shrink_size)?;
let field_id_docid_facet_numbers = writer_into_reader(field_id_docid_facet_numbers_wtr, shrink_size)?;
@ -724,6 +755,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
docid_word_positions,
words_pairs_proximities_docids,
word_level_position_docids,
field_id_word_count_docids,
facet_field_numbers_docids,
facet_field_strings_docids,
field_id_docid_facet_numbers,