MeiliSearch/milli/src/update/delete_documents.rs

850 lines
35 KiB
Rust

use std::collections::btree_map::Entry;
use std::collections::HashMap;
use fst::IntoStreamer;
use heed::types::{ByteSlice, Str};
use heed::{BytesDecode, BytesEncode, Database};
use roaring::RoaringBitmap;
use serde::{Deserialize, Serialize};
use serde_json::Value;
use time::OffsetDateTime;
use super::ClearDocuments;
use crate::error::{InternalError, SerializationError, UserError};
use crate::heed_codec::facet::{
FacetLevelValueU32Codec, FacetStringLevelZeroValueCodec, FacetStringZeroBoundsValueCodec,
};
use crate::heed_codec::CboRoaringBitmapCodec;
use crate::index::{db_name, main_key};
use crate::{
DocumentId, ExternalDocumentsIds, FieldId, Index, Result, RoaringBitmapCodec, SmallString32,
BEU32,
};
pub struct DeleteDocuments<'t, 'u, 'i> {
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
external_documents_ids: ExternalDocumentsIds<'static>,
documents_ids: RoaringBitmap,
}
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct DocumentDeletionResult {
pub deleted_documents: u64,
pub remaining_documents: u64,
}
impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
pub fn new(
wtxn: &'t mut heed::RwTxn<'i, 'u>,
index: &'i Index,
) -> Result<DeleteDocuments<'t, 'u, 'i>> {
let external_documents_ids = index.external_documents_ids(wtxn)?.into_static();
Ok(DeleteDocuments {
wtxn,
index,
external_documents_ids,
documents_ids: RoaringBitmap::new(),
})
}
pub fn delete_document(&mut self, docid: u32) {
self.documents_ids.insert(docid);
}
pub fn delete_documents(&mut self, docids: &RoaringBitmap) {
self.documents_ids |= docids;
}
pub fn delete_external_id(&mut self, external_id: &str) -> Option<u32> {
let docid = self.external_documents_ids.get(external_id)?;
self.delete_document(docid);
Some(docid)
}
pub fn execute(self) -> Result<DocumentDeletionResult> {
self.index.set_updated_at(self.wtxn, &OffsetDateTime::now_utc())?;
// We retrieve the current documents ids that are in the database.
let mut documents_ids = self.index.documents_ids(self.wtxn)?;
let current_documents_ids_len = documents_ids.len();
// We can and must stop removing documents in a database that is empty.
if documents_ids.is_empty() {
return Ok(DocumentDeletionResult {
deleted_documents: 0,
remaining_documents: current_documents_ids_len,
});
}
// We remove the documents ids that we want to delete
// from the documents in the database and write them back.
documents_ids -= &self.documents_ids;
self.index.put_documents_ids(self.wtxn, &documents_ids)?;
// We can execute a ClearDocuments operation when the number of documents
// to delete is exactly the number of documents in the database.
if current_documents_ids_len == self.documents_ids.len() {
let remaining_documents = ClearDocuments::new(self.wtxn, self.index).execute()?;
return Ok(DocumentDeletionResult {
deleted_documents: current_documents_ids_len,
remaining_documents,
});
}
let fields_ids_map = self.index.fields_ids_map(self.wtxn)?;
let primary_key = self.index.primary_key(self.wtxn)?.ok_or_else(|| {
InternalError::DatabaseMissingEntry {
db_name: db_name::MAIN,
key: Some(main_key::PRIMARY_KEY_KEY),
}
})?;
// Since we already checked if the DB was empty, if we can't find the primary key, then
// something is wrong, and we must return an error.
let id_field = match fields_ids_map.id(primary_key) {
Some(field) => field,
None => return Err(UserError::MissingPrimaryKey.into()),
};
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,
field_id_word_count_docids,
word_prefix_pair_proximity_docids,
word_position_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;
// Number of fields for each document that has been deleted.
let mut fields_ids_distribution_diff = HashMap::new();
// Retrieve the words and the external documents ids contained in the documents.
let mut words = Vec::new();
let mut external_ids = Vec::new();
for docid in &self.documents_ids {
// We create an iterator to be able to get the content and delete the document
// content itself. It's faster to acquire a cursor to get and delete,
// as we avoid traversing the LMDB B-Tree two times but only once.
let key = BEU32::new(docid);
let mut iter = documents.range_mut(self.wtxn, &(key..=key))?;
if let Some((_key, obkv)) = iter.next().transpose()? {
for (field_id, _) in obkv.iter() {
*fields_ids_distribution_diff.entry(field_id).or_default() += 1;
}
if let Some(content) = obkv.get(id_field) {
let external_id = match serde_json::from_slice(content).unwrap() {
Value::String(string) => SmallString32::from(string.as_str()),
Value::Number(number) => SmallString32::from(number.to_string()),
document_id => {
return Err(UserError::InvalidDocumentId { document_id }.into())
}
};
external_ids.push(external_id);
}
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
}
drop(iter);
// We iterate through the words positions of the document id,
// retrieve the word and delete the positions.
let mut iter = docid_word_positions.prefix_iter_mut(self.wtxn, &(docid, ""))?;
while let Some(result) = iter.next() {
let ((_docid, word), _positions) = result?;
// This boolean will indicate if we must remove this word from the words FST.
words.push((SmallString32::from(word), false));
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
}
}
let mut field_distribution = self.index.field_distribution(self.wtxn)?;
// We use pre-calculated number of fields occurrences that needs to be deleted
// to reflect deleted documents.
// If all field occurrences are removed, delete the entry from distribution.
// Otherwise, insert new number of occurrences (current_count - count_diff).
for (field_id, count_diff) in fields_ids_distribution_diff {
let field_name = fields_ids_map.name(field_id).unwrap();
if let Entry::Occupied(mut entry) = field_distribution.entry(field_name.to_string()) {
match entry.get().checked_sub(count_diff) {
Some(0) | None => entry.remove(),
Some(count) => entry.insert(count),
};
}
}
self.index.put_field_distribution(self.wtxn, &field_distribution)?;
// We create the FST map of the external ids that we must delete.
external_ids.sort_unstable();
let external_ids_to_delete = fst::Set::from_iter(external_ids)?;
// We acquire the current external documents ids map...
let mut new_external_documents_ids = self.index.external_documents_ids(self.wtxn)?;
// ...and remove the to-delete external ids.
new_external_documents_ids.delete_ids(external_ids_to_delete)?;
// We write the new external ids into the main database.
let new_external_documents_ids = new_external_documents_ids.into_static();
self.index.put_external_documents_ids(self.wtxn, &new_external_documents_ids)?;
// Maybe we can improve the get performance of the words
// if we sort the words first, keeping the LMDB pages in cache.
words.sort_unstable();
// We iterate over the words and delete the documents ids
// from the word docids database.
for (word, must_remove) in &mut words {
remove_from_word_docids(
self.wtxn,
word_docids,
word.as_str(),
must_remove,
&self.documents_ids,
)?;
remove_from_word_docids(
self.wtxn,
exact_word_docids,
word.as_str(),
must_remove,
&self.documents_ids,
)?;
}
// We construct an FST set that contains the words to delete from the words FST.
let words_to_delete =
words.iter().filter_map(
|(word, must_remove)| {
if *must_remove {
Some(word.as_str())
} else {
None
}
},
);
let words_to_delete = fst::Set::from_iter(words_to_delete)?;
let new_words_fst = {
// We retrieve the current words FST from the database.
let words_fst = self.index.words_fst(self.wtxn)?;
let difference = words_fst.op().add(&words_to_delete).difference();
// We stream the new external ids that does no more contains the to-delete external ids.
let mut new_words_fst_builder = fst::SetBuilder::memory();
new_words_fst_builder.extend_stream(difference.into_stream())?;
// We create an words FST set from the above builder.
new_words_fst_builder.into_set()
};
// We write the new words FST into the main database.
self.index.put_words_fst(self.wtxn, &new_words_fst)?;
let prefixes_to_delete =
remove_from_word_prefix_docids(self.wtxn, word_prefix_docids, &self.documents_ids)?;
let exact_prefix_to_delete = remove_from_word_prefix_docids(
self.wtxn,
exact_word_prefix_docids,
&self.documents_ids,
)?;
let all_prefixes_to_delete = prefixes_to_delete.op().add(&exact_prefix_to_delete).union();
// We compute the new prefix FST and write it only if there is a change.
if !prefixes_to_delete.is_empty() || !exact_prefix_to_delete.is_empty() {
let new_words_prefixes_fst = {
// We retrieve the current words prefixes FST from the database.
let words_prefixes_fst = self.index.words_prefixes_fst(self.wtxn)?;
let difference =
words_prefixes_fst.op().add(all_prefixes_to_delete.into_stream()).difference();
// We stream the new external ids that does no more contains the to-delete external ids.
let mut new_words_prefixes_fst_builder = fst::SetBuilder::memory();
new_words_prefixes_fst_builder.extend_stream(difference.into_stream())?;
// We create an words FST set from the above builder.
new_words_prefixes_fst_builder.into_set()
};
// We write the new words prefixes FST into the main database.
self.index.put_words_prefixes_fst(self.wtxn, &new_words_prefixes_fst)?;
}
// We delete the documents ids from the word prefix pair proximity database docids
// and remove the empty pairs too.
let db = word_prefix_pair_proximity_docids.remap_key_type::<ByteSlice>();
let mut iter = db.iter_mut(self.wtxn)?;
while let Some(result) = iter.next() {
let (key, mut docids) = result?;
let previous_len = docids.len();
docids -= &self.documents_ids;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let key = key.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&key, &docids)? };
}
}
drop(iter);
// We delete the documents ids that are under the pairs of words,
// it is faster and use no memory to iterate over all the words pairs than
// to compute the cartesian product of every words of the deleted documents.
let mut iter =
word_pair_proximity_docids.remap_key_type::<ByteSlice>().iter_mut(self.wtxn)?;
while let Some(result) = iter.next() {
let (bytes, mut docids) = result?;
let previous_len = docids.len();
docids -= &self.documents_ids;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let bytes = bytes.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&bytes, &docids)? };
}
}
drop(iter);
// We delete the documents ids that are under the word level position docids.
let mut iter = word_position_docids.iter_mut(self.wtxn)?.remap_key_type::<ByteSlice>();
while let Some(result) = iter.next() {
let (bytes, mut docids) = result?;
let previous_len = docids.len();
docids -= &self.documents_ids;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let bytes = bytes.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&bytes, &docids)? };
}
}
drop(iter);
// We delete the documents ids that are under the word prefix level position docids.
let mut iter =
word_prefix_position_docids.iter_mut(self.wtxn)?.remap_key_type::<ByteSlice>();
while let Some(result) = iter.next() {
let (bytes, mut docids) = result?;
let previous_len = docids.len();
docids -= &self.documents_ids;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let bytes = bytes.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&bytes, &docids)? };
}
}
drop(iter);
// Remove the documents ids from the 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 -= &self.documents_ids;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let key = key.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&key, &docids)? };
}
}
drop(iter);
if let Some(mut rtree) = self.index.geo_rtree(self.wtxn)? {
let mut geo_faceted_doc_ids = self.index.geo_faceted_documents_ids(self.wtxn)?;
let (points_to_remove, docids_to_remove): (Vec<_>, RoaringBitmap) = rtree
.iter()
.filter(|&point| self.documents_ids.contains(point.data.0))
.cloned()
.map(|point| (point, point.data.0))
.unzip();
points_to_remove.iter().for_each(|point| {
rtree.remove(&point);
});
geo_faceted_doc_ids -= docids_to_remove;
self.index.put_geo_rtree(self.wtxn, &rtree)?;
self.index.put_geo_faceted_documents_ids(self.wtxn, &geo_faceted_doc_ids)?;
}
// We delete the documents ids that are under the facet field id values.
remove_docids_from_facet_field_id_number_docids(
self.wtxn,
facet_id_f64_docids,
&self.documents_ids,
)?;
remove_docids_from_facet_field_id_string_docids(
self.wtxn,
facet_id_string_docids,
&self.documents_ids,
)?;
// Remove the documents ids from the faceted documents ids.
for field_id in self.index.faceted_fields_ids(self.wtxn)? {
// Remove docids from the number faceted documents ids
let mut docids = self.index.number_faceted_documents_ids(self.wtxn, field_id)?;
docids -= &self.documents_ids;
self.index.put_number_faceted_documents_ids(self.wtxn, field_id, &docids)?;
remove_docids_from_field_id_docid_facet_value(
self.wtxn,
field_id_docid_facet_f64s,
field_id,
&self.documents_ids,
|(_fid, docid, _value)| docid,
)?;
// Remove docids from the string faceted documents ids
let mut docids = self.index.string_faceted_documents_ids(self.wtxn, field_id)?;
docids -= &self.documents_ids;
self.index.put_string_faceted_documents_ids(self.wtxn, field_id, &docids)?;
remove_docids_from_field_id_docid_facet_value(
self.wtxn,
field_id_docid_facet_strings,
field_id,
&self.documents_ids,
|(_fid, docid, _value)| docid,
)?;
}
Ok(DocumentDeletionResult {
deleted_documents: self.documents_ids.len(),
remaining_documents: documents_ids.len(),
})
}
}
fn remove_from_word_prefix_docids(
txn: &mut heed::RwTxn,
db: &Database<Str, RoaringBitmapCodec>,
to_remove: &RoaringBitmap,
) -> Result<fst::Set<Vec<u8>>> {
let mut prefixes_to_delete = fst::SetBuilder::memory();
// We iterate over the word prefix docids database and remove the deleted documents ids
// from every docids lists. We register the empty prefixes in an fst Set for futur deletion.
let mut iter = db.iter_mut(txn)?;
while let Some(result) = iter.next() {
let (prefix, mut docids) = result?;
let prefix = prefix.to_owned();
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
prefixes_to_delete.insert(prefix)?;
} else if docids.len() != previous_len {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&prefix, &docids)? };
}
}
Ok(prefixes_to_delete.into_set())
}
fn remove_from_word_docids(
txn: &mut heed::RwTxn,
db: &heed::Database<Str, RoaringBitmapCodec>,
word: &str,
must_remove: &mut bool,
to_remove: &RoaringBitmap,
) -> Result<()> {
// We create an iterator to be able to get the content and delete the word docids.
// It's faster to acquire a cursor to get and delete or put, as we avoid traversing
// the LMDB B-Tree two times but only once.
let mut iter = db.prefix_iter_mut(txn, &word)?;
if let Some((key, mut docids)) = iter.next().transpose()? {
if key == word {
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
*must_remove = true;
} else if docids.len() != previous_len {
let key = key.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&key, &docids)? };
}
}
}
Ok(())
}
fn remove_docids_from_field_id_docid_facet_value<'a, C, K, F, DC, V>(
wtxn: &'a mut heed::RwTxn,
db: &heed::Database<C, DC>,
field_id: FieldId,
to_remove: &RoaringBitmap,
convert: F,
) -> heed::Result<()>
where
C: heed::BytesDecode<'a, DItem = K>,
DC: heed::BytesDecode<'a, DItem = V>,
F: Fn(K) -> DocumentId,
{
let mut iter = db
.remap_key_type::<ByteSlice>()
.prefix_iter_mut(wtxn, &field_id.to_be_bytes())?
.remap_key_type::<C>();
while let Some(result) = iter.next() {
let (key, _) = result?;
if to_remove.contains(convert(key)) {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
}
}
Ok(())
}
fn remove_docids_from_facet_field_id_string_docids<'a, C, D>(
wtxn: &'a mut heed::RwTxn,
db: &heed::Database<C, D>,
to_remove: &RoaringBitmap,
) -> crate::Result<()> {
let db_name = Some(crate::index::db_name::FACET_ID_STRING_DOCIDS);
let mut iter = db.remap_types::<ByteSlice, ByteSlice>().iter_mut(wtxn)?;
while let Some(result) = iter.next() {
let (key, val) = result?;
match FacetLevelValueU32Codec::bytes_decode(key) {
Some(_) => {
// If we are able to parse this key it means it is a facet string group
// level key. We must then parse the value using the appropriate codec.
let (group, mut docids) =
FacetStringZeroBoundsValueCodec::<CboRoaringBitmapCodec>::bytes_decode(val)
.ok_or_else(|| SerializationError::Decoding { db_name })?;
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let key = key.to_owned();
let val = &(group, docids);
let value_bytes =
FacetStringZeroBoundsValueCodec::<CboRoaringBitmapCodec>::bytes_encode(val)
.ok_or_else(|| SerializationError::Encoding { db_name })?;
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&key, &value_bytes)? };
}
}
None => {
// The key corresponds to a level zero facet string.
let (original_value, mut docids) =
FacetStringLevelZeroValueCodec::bytes_decode(val)
.ok_or_else(|| SerializationError::Decoding { db_name })?;
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let key = key.to_owned();
let val = &(original_value, docids);
let value_bytes = FacetStringLevelZeroValueCodec::bytes_encode(val)
.ok_or_else(|| SerializationError::Encoding { db_name })?;
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&key, &value_bytes)? };
}
}
}
}
Ok(())
}
fn remove_docids_from_facet_field_id_number_docids<'a, C>(
wtxn: &'a mut heed::RwTxn,
db: &heed::Database<C, CboRoaringBitmapCodec>,
to_remove: &RoaringBitmap,
) -> heed::Result<()>
where
C: heed::BytesDecode<'a> + heed::BytesEncode<'a>,
{
let mut iter = db.remap_key_type::<ByteSlice>().iter_mut(wtxn)?;
while let Some(result) = iter.next() {
let (bytes, mut docids) = result?;
let previous_len = docids.len();
docids -= to_remove;
if docids.is_empty() {
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.del_current()? };
} else if docids.len() != previous_len {
let bytes = bytes.to_owned();
// safety: we don't keep references from inside the LMDB database.
unsafe { iter.put_current(&bytes, &docids)? };
}
}
Ok(())
}
#[cfg(test)]
mod tests {
use std::collections::HashSet;
use big_s::S;
use heed::EnvOpenOptions;
use maplit::hashset;
use super::*;
use crate::update::{IndexDocuments, IndexDocumentsConfig, IndexerConfig, Settings};
use crate::Filter;
#[test]
fn delete_documents_with_numbers_as_primary_key() {
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", "object": { "key1": "value1", "key2": "value2" } },
{ "id": 1, "name": "kevina", "array": ["I", "am", "fine"] },
{ "id": 2, "name": "benoit", "array_of_object": [{ "wow": "amazing" }] }
]);
let config = IndexerConfig::default();
let indexing_config = IndexDocumentsConfig::default();
let mut builder =
IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()).unwrap();
builder.add_documents(content).unwrap();
builder.execute().unwrap();
// delete those documents, ids are synchronous therefore 0, 1, and 2.
let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap();
builder.delete_document(0);
builder.delete_document(1);
builder.delete_document(2);
builder.execute().unwrap();
wtxn.commit().unwrap();
let rtxn = index.read_txn().unwrap();
assert!(index.field_distribution(&rtxn).unwrap().is_empty());
}
#[test]
fn delete_documents_with_strange_primary_key() {
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!([
{ "mysuperid": 0, "name": "kevin" },
{ "mysuperid": 1, "name": "kevina" },
{ "mysuperid": 2, "name": "benoit" }
]);
let config = IndexerConfig::default();
let indexing_config = IndexDocumentsConfig::default();
let mut builder =
IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()).unwrap();
builder.add_documents(content).unwrap();
builder.execute().unwrap();
// Delete not all of the documents but some of them.
let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap();
builder.delete_external_id("0");
builder.delete_external_id("1");
builder.execute().unwrap();
wtxn.commit().unwrap();
}
#[test]
fn delete_documents_with_filterable_attributes() {
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 config = IndexerConfig::default();
let mut builder = Settings::new(&mut wtxn, &index, &config);
builder.set_primary_key(S("docid"));
builder.set_filterable_fields(hashset! { S("label") });
builder.execute(|_| ()).unwrap();
let content = documents!([
{"docid":"1_4","label":"sign"},
{"docid":"1_5","label":"letter"},
{"docid":"1_7","label":"abstract,cartoon,design,pattern"},
{"docid":"1_36","label":"drawing,painting,pattern"},
{"docid":"1_37","label":"art,drawing,outdoor"},
{"docid":"1_38","label":"aquarium,art,drawing"},
{"docid":"1_39","label":"abstract"},
{"docid":"1_40","label":"cartoon"},
{"docid":"1_41","label":"art,drawing"},
{"docid":"1_42","label":"art,pattern"},
{"docid":"1_43","label":"abstract,art,drawing,pattern"},
{"docid":"1_44","label":"drawing"},
{"docid":"1_45","label":"art"},
{"docid":"1_46","label":"abstract,colorfulness,pattern"},
{"docid":"1_47","label":"abstract,pattern"},
{"docid":"1_52","label":"abstract,cartoon"},
{"docid":"1_57","label":"abstract,drawing,pattern"},
{"docid":"1_58","label":"abstract,art,cartoon"},
{"docid":"1_68","label":"design"},
{"docid":"1_69","label":"geometry"}
]);
let config = IndexerConfig::default();
let indexing_config = IndexDocumentsConfig::default();
let mut builder =
IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()).unwrap();
builder.add_documents(content).unwrap();
builder.execute().unwrap();
// Delete not all of the documents but some of them.
let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap();
builder.delete_external_id("1_4");
builder.execute().unwrap();
let filter = Filter::from_str("label = sign").unwrap().unwrap();
let results = index.search(&wtxn).filter(filter).execute().unwrap();
assert!(results.documents_ids.is_empty());
wtxn.commit().unwrap();
}
#[test]
fn delete_documents_with_geo_points() {
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 config = IndexerConfig::default();
let mut builder = Settings::new(&mut wtxn, &index, &config);
builder.set_primary_key(S("id"));
builder.set_filterable_fields(hashset!(S("_geo")));
builder.set_sortable_fields(hashset!(S("_geo")));
builder.execute(|_| ()).unwrap();
let content = documents!([
{"id":"1","city":"Lille", "_geo": { "lat": 50.629973371633746, "lng": 3.0569447399419570 } },
{"id":"2","city":"Mons-en-Barœul", "_geo": { "lat": 50.641586120121050, "lng": 3.1106593480348670 } },
{"id":"3","city":"Hellemmes", "_geo": { "lat": 50.631220965518080, "lng": 3.1106399673339933 } },
{"id":"4","city":"Villeneuve-d'Ascq", "_geo": { "lat": 50.622468098014565, "lng": 3.1476425513437140 } },
{"id":"5","city":"Hem", "_geo": { "lat": 50.655250871381355, "lng": 3.1897297266244130 } },
{"id":"6","city":"Roubaix", "_geo": { "lat": 50.692473451896710, "lng": 3.1763326737747650 } },
{"id":"7","city":"Tourcoing", "_geo": { "lat": 50.726397466736480, "lng": 3.1541653659578670 } },
{"id":"8","city":"Mouscron", "_geo": { "lat": 50.745325554908610, "lng": 3.2206407854429853 } },
{"id":"9","city":"Tournai", "_geo": { "lat": 50.605342528602630, "lng": 3.3758586941351414 } },
{"id":"10","city":"Ghent", "_geo": { "lat": 51.053777403679035, "lng": 3.6957733119926930 } },
{"id":"11","city":"Brussels", "_geo": { "lat": 50.846640974544690, "lng": 4.3370663564281840 } },
{"id":"12","city":"Charleroi", "_geo": { "lat": 50.409570138889480, "lng": 4.4347354315085520 } },
{"id":"13","city":"Mons", "_geo": { "lat": 50.450294178855420, "lng": 3.9623722870904690 } },
{"id":"14","city":"Valenciennes", "_geo": { "lat": 50.351817774473545, "lng": 3.5326283646928800 } },
{"id":"15","city":"Arras", "_geo": { "lat": 50.284487528579950, "lng": 2.7637515844478160 } },
{"id":"16","city":"Cambrai", "_geo": { "lat": 50.179340577906700, "lng": 3.2189409952502930 } },
{"id":"17","city":"Bapaume", "_geo": { "lat": 50.111276127236400, "lng": 2.8547894666083120 } },
{"id":"18","city":"Amiens", "_geo": { "lat": 49.931472529669996, "lng": 2.2710499758317080 } },
{"id":"19","city":"Compiègne", "_geo": { "lat": 49.444980887725656, "lng": 2.7913841281529015 } },
{"id":"20","city":"Paris", "_geo": { "lat": 48.902100060895480, "lng": 2.3708400867406930 } }
]);
let external_ids_to_delete = ["5", "6", "7", "12", "17", "19"];
let indexing_config = IndexDocumentsConfig::default();
let mut builder =
IndexDocuments::new(&mut wtxn, &index, &config, indexing_config, |_| ()).unwrap();
builder.add_documents(content).unwrap();
builder.execute().unwrap();
let external_document_ids = index.external_documents_ids(&wtxn).unwrap();
let ids_to_delete: Vec<u32> = external_ids_to_delete
.iter()
.map(|id| external_document_ids.get(id.as_bytes()).unwrap())
.collect();
// Delete some documents.
let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap();
external_ids_to_delete.iter().for_each(|id| drop(builder.delete_external_id(id)));
builder.execute().unwrap();
wtxn.commit().unwrap();
let rtxn = index.read_txn().unwrap();
let rtree = index.geo_rtree(&rtxn).unwrap().unwrap();
let geo_faceted_doc_ids = index.geo_faceted_documents_ids(&rtxn).unwrap();
let all_geo_ids = rtree.iter().map(|point| point.data).collect::<Vec<_>>();
let all_geo_documents = index
.documents(&rtxn, all_geo_ids.iter().map(|(id, _)| id).copied())
.unwrap()
.iter()
.map(|(id, _)| *id)
.collect::<HashSet<_>>();
let all_geo_faceted_ids = geo_faceted_doc_ids.iter().collect::<Vec<_>>();
let all_geo_faceted_documents = index
.documents(&rtxn, all_geo_faceted_ids.iter().copied())
.unwrap()
.iter()
.map(|(id, _)| *id)
.collect::<HashSet<_>>();
assert_eq!(
all_geo_documents, all_geo_faceted_documents,
"There is an inconsistency between the geo_faceted database and the rtree"
);
for id in all_geo_documents.iter() {
assert!(!ids_to_delete.contains(&id), "The document {} was supposed to be deleted", id);
}
assert_eq!(
all_geo_ids.len(),
all_geo_documents.len(),
"We deleted documents that were not supposed to be deleted"
);
}
}