MeiliSearch/milli/src/update/clear_documents.rs
Tamo 3b309f654a
Fasten the document deletion
When a document deletion occurs, instead of deleting the document we mark it as deleted
in the new “soft deleted” bitmap. It is then removed from the search, and all the other
endpoints.
2022-07-05 15:30:33 +02:00

140 lines
5.8 KiB
Rust

use roaring::RoaringBitmap;
use time::OffsetDateTime;
use crate::{ExternalDocumentsIds, FieldDistribution, Index, Result};
pub struct ClearDocuments<'t, 'u, 'i> {
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
}
impl<'t, 'u, 'i> ClearDocuments<'t, 'u, 'i> {
pub fn new(wtxn: &'t mut heed::RwTxn<'i, 'u>, index: &'i Index) -> ClearDocuments<'t, 'u, 'i> {
ClearDocuments { wtxn, index }
}
pub fn execute(self) -> Result<u64> {
self.index.set_updated_at(self.wtxn, &OffsetDateTime::now_utc())?;
let Index {
env: _env,
main: _main,
word_docids,
exact_word_docids,
word_prefix_docids,
exact_word_prefix_docids,
docid_word_positions,
word_pair_proximity_docids,
word_prefix_pair_proximity_docids,
word_position_docids,
field_id_word_count_docids,
word_prefix_position_docids,
facet_id_f64_docids,
facet_id_string_docids,
field_id_docid_facet_f64s,
field_id_docid_facet_strings,
documents,
} = self.index;
let empty_roaring = RoaringBitmap::default();
// We retrieve the number of documents ids that we are deleting.
let number_of_documents = self.index.number_of_documents(self.wtxn)?;
let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
// We clean some of the main engine datastructures.
self.index.put_words_fst(self.wtxn, &fst::Set::default())?;
self.index.put_words_prefixes_fst(self.wtxn, &fst::Set::default())?;
self.index.put_external_documents_ids(self.wtxn, &ExternalDocumentsIds::default())?;
self.index.put_documents_ids(self.wtxn, &empty_roaring)?;
self.index.put_soft_deleted_documents_ids(self.wtxn, &empty_roaring)?;
self.index.put_field_distribution(self.wtxn, &FieldDistribution::default())?;
self.index.delete_geo_rtree(self.wtxn)?;
self.index.delete_geo_faceted_documents_ids(self.wtxn)?;
// We clean all the faceted documents ids.
for field_id in faceted_fields {
self.index.put_number_faceted_documents_ids(self.wtxn, field_id, &empty_roaring)?;
self.index.put_string_faceted_documents_ids(self.wtxn, field_id, &empty_roaring)?;
}
// Clear the other databases.
word_docids.clear(self.wtxn)?;
exact_word_docids.clear(self.wtxn)?;
word_prefix_docids.clear(self.wtxn)?;
exact_word_prefix_docids.clear(self.wtxn)?;
docid_word_positions.clear(self.wtxn)?;
word_pair_proximity_docids.clear(self.wtxn)?;
word_prefix_pair_proximity_docids.clear(self.wtxn)?;
word_position_docids.clear(self.wtxn)?;
field_id_word_count_docids.clear(self.wtxn)?;
word_prefix_position_docids.clear(self.wtxn)?;
facet_id_f64_docids.clear(self.wtxn)?;
facet_id_string_docids.clear(self.wtxn)?;
field_id_docid_facet_f64s.clear(self.wtxn)?;
field_id_docid_facet_strings.clear(self.wtxn)?;
documents.clear(self.wtxn)?;
Ok(number_of_documents)
}
}
#[cfg(test)]
mod tests {
use heed::EnvOpenOptions;
use super::*;
use crate::update::{IndexDocuments, IndexDocumentsConfig, IndexerConfig};
#[test]
fn clear_documents() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
let mut wtxn = index.write_txn().unwrap();
let content = documents!([
{ "id": 0, "name": "kevin", "age": 20 },
{ "id": 1, "name": "kevina" },
{ "id": 2, "name": "benoit", "country": "France", "_geo": { "lng": 42, "lat": 35 } }
]);
let indexing_config = IndexDocumentsConfig::default();
let config = IndexerConfig::default();
let mut builder =
IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()).unwrap();
builder.add_documents(content).unwrap();
builder.execute().unwrap();
// Clear all documents from the database.
let builder = ClearDocuments::new(&mut wtxn, &index);
assert_eq!(builder.execute().unwrap(), 3);
wtxn.commit().unwrap();
let rtxn = index.read_txn().unwrap();
// the value is 7 because there is `[id, name, age, country, _geo, _geo.lng, _geo.lat]`
assert_eq!(index.fields_ids_map(&rtxn).unwrap().len(), 7);
assert!(index.words_fst(&rtxn).unwrap().is_empty());
assert!(index.words_prefixes_fst(&rtxn).unwrap().is_empty());
assert!(index.external_documents_ids(&rtxn).unwrap().is_empty());
assert!(index.documents_ids(&rtxn).unwrap().is_empty());
assert!(index.field_distribution(&rtxn).unwrap().is_empty());
assert!(index.geo_rtree(&rtxn).unwrap().is_none());
assert!(index.geo_faceted_documents_ids(&rtxn).unwrap().is_empty());
assert!(index.word_docids.is_empty(&rtxn).unwrap());
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());
assert!(index.field_id_docid_facet_f64s.is_empty(&rtxn).unwrap());
assert!(index.field_id_docid_facet_strings.is_empty(&rtxn).unwrap());
assert!(index.documents.is_empty(&rtxn).unwrap());
}
}