MeiliSearch/milli/src/update/clear_documents.rs
2024-02-08 15:03:31 +01:00

147 lines
5.5 KiB
Rust

use heed::RwTxn;
use roaring::RoaringBitmap;
use time::OffsetDateTime;
use crate::{FieldDistribution, Index, Result};
pub struct ClearDocuments<'t, 'i> {
wtxn: &'t mut RwTxn<'i>,
index: &'i Index,
}
impl<'t, 'i> ClearDocuments<'t, 'i> {
pub fn new(wtxn: &'t mut RwTxn<'i>, index: &'i Index) -> ClearDocuments<'t, 'i> {
ClearDocuments { wtxn, index }
}
#[tracing::instrument(
level = "trace",
skip(self),
target = "indexing::documents",
name = "clear_documents"
)]
pub fn execute(self) -> Result<u64> {
puffin::profile_function!();
self.index.set_updated_at(self.wtxn, &OffsetDateTime::now_utc())?;
let Index {
env: _env,
main: _main,
external_documents_ids,
word_docids,
exact_word_docids,
word_prefix_docids,
exact_word_prefix_docids,
word_pair_proximity_docids,
word_position_docids,
word_fid_docids,
field_id_word_count_docids,
word_prefix_position_docids,
word_prefix_fid_docids,
script_language_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,
} = 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)?;
// 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_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)?;
// Clear the other databases.
external_documents_ids.clear(self.wtxn)?;
word_docids.clear(self.wtxn)?;
exact_word_docids.clear(self.wtxn)?;
word_prefix_docids.clear(self.wtxn)?;
exact_word_prefix_docids.clear(self.wtxn)?;
word_pair_proximity_docids.clear(self.wtxn)?;
word_position_docids.clear(self.wtxn)?;
word_fid_docids.clear(self.wtxn)?;
field_id_word_count_docids.clear(self.wtxn)?;
word_prefix_position_docids.clear(self.wtxn)?;
word_prefix_fid_docids.clear(self.wtxn)?;
script_language_docids.clear(self.wtxn)?;
facet_id_f64_docids.clear(self.wtxn)?;
facet_id_normalized_string_strings.clear(self.wtxn)?;
facet_id_string_fst.clear(self.wtxn)?;
facet_id_exists_docids.clear(self.wtxn)?;
facet_id_is_null_docids.clear(self.wtxn)?;
facet_id_is_empty_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)?;
// vector
vector_arroy.clear(self.wtxn)?;
documents.clear(self.wtxn)?;
Ok(number_of_documents)
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::index::tests::TempIndex;
#[test]
fn clear_documents() {
let index = TempIndex::new();
let mut wtxn = index.write_txn().unwrap();
index
.add_documents_using_wtxn(&mut wtxn, documents!([
{ "id": 0, "name": "kevin", "age": 20 },
{ "id": 1, "name": "kevina" },
{ "id": 2, "name": "benoit", "country": "France", "_geo": { "lng": 42, "lat": 35 } }
]))
.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().is_empty(&rtxn).unwrap());
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.word_pair_proximity_docids.is_empty(&rtxn).unwrap());
assert!(index.field_id_word_count_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());
}
}