mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-06-06 12:57:48 +02:00
Add facet deletion tests that use both the incremental and bulk methods
+ update deletion snapshots to the new database format
This commit is contained in:
Loïc Lecrenier
parent
e3ba1fc883
commit
f198b20c42
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@ -54,7 +54,7 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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}
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#[cfg(test)]
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fn disable_soft_deletion(&mut self, disable: bool) {
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pub fn disable_soft_deletion(&mut self, disable: bool) {
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self.disable_soft_deletion = disable;
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}
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@ -4,9 +4,7 @@ use std::fs::File;
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use grenad::CompressionType;
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use heed::types::ByteSlice;
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use heed::{BytesEncode, Error, RoTxn, RwTxn};
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use log::debug;
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use roaring::RoaringBitmap;
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use time::OffsetDateTime;
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use super::{FACET_GROUP_SIZE, FACET_MIN_LEVEL_SIZE};
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use crate::facet::FacetType;
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@ -71,8 +69,6 @@ impl<'i> FacetsUpdateBulk<'i> {
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#[logging_timer::time("FacetsUpdateBulk::{}")]
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pub fn execute(self, wtxn: &mut heed::RwTxn) -> Result<()> {
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debug!("Computing and writing the facet values levels docids into LMDB on disk...");
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let Self { index, field_ids, group_size, min_level_size, facet_type, new_data } = self;
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let db = match facet_type {
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@ -84,8 +80,6 @@ impl<'i> FacetsUpdateBulk<'i> {
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}
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};
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index.set_updated_at(wtxn, &OffsetDateTime::now_utc())?;
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let inner = FacetsUpdateBulkInner { db, new_data, group_size, min_level_size };
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inner.update(wtxn, &field_ids, |wtxn, field_id, all_docids| {
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@ -1,15 +1,21 @@
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use super::{FACET_GROUP_SIZE, FACET_MAX_GROUP_SIZE, FACET_MIN_LEVEL_SIZE};
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use crate::{
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facet::FacetType,
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heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec, FacetGroupValueCodec},
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heed_codec::ByteSliceRefCodec,
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update::{FacetsUpdateBulk, FacetsUpdateIncrementalInner},
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FieldId, Index, Result,
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};
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use heed::RwTxn;
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use roaring::RoaringBitmap;
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use std::collections::{HashMap, HashSet};
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use heed::RwTxn;
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use log::debug;
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use roaring::RoaringBitmap;
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use time::OffsetDateTime;
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use super::{FACET_GROUP_SIZE, FACET_MAX_GROUP_SIZE, FACET_MIN_LEVEL_SIZE};
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use crate::facet::FacetType;
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use crate::heed_codec::facet::{FacetGroupKey, FacetGroupKeyCodec, FacetGroupValueCodec};
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use crate::heed_codec::ByteSliceRefCodec;
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use crate::update::{FacetsUpdateBulk, FacetsUpdateIncrementalInner};
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use crate::{FieldId, Index, Result};
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/// A builder used to remove elements from the `facet_id_string_docids` or `facet_id_f64_docids` databases.
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///
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/// Depending on the number of removed elements and the existing size of the database, we use either
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/// a bulk delete method or an incremental delete method.
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pub struct FacetsDelete<'i, 'b> {
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index: &'i Index,
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database: heed::Database<FacetGroupKeyCodec<ByteSliceRefCodec>, FacetGroupValueCodec>,
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@ -48,8 +54,18 @@ impl<'i, 'b> FacetsDelete<'i, 'b> {
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}
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pub fn execute(self, wtxn: &mut RwTxn) -> Result<()> {
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debug!("Computing and writing the facet values levels docids into LMDB on disk...");
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self.index.set_updated_at(wtxn, &OffsetDateTime::now_utc())?;
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for (field_id, affected_facet_values) in self.affected_facet_values {
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if affected_facet_values.len() >= (self.database.len(wtxn)? / 50) {
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// This is an incorrect condition, since we assume that the length of the database is equal
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// to the number of facet values for the given field_id. It means that in some cases, we might
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// wrongly choose the incremental indexer over the bulk indexer. But the only case where that could
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// really be a performance problem is when we fully delete a large ratio of all facet values for
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// each field id. This would almost never happen. Still, to be overly cautious, I have added a
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// 2x penalty to the incremental indexer. That is, instead of assuming a 70x worst-case performance
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// penalty to the incremental indexer, we assume a 150x worst-case performance penalty instead.
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if affected_facet_values.len() >= (self.database.len(wtxn)? / 150) {
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// Bulk delete
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let mut modified = false;
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@ -91,3 +107,133 @@ impl<'i, 'b> FacetsDelete<'i, 'b> {
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Ok(())
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}
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}
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#[cfg(test)]
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mod tests {
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use std::iter::FromIterator;
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use big_s::S;
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use maplit::hashset;
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use roaring::RoaringBitmap;
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use crate::db_snap;
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use crate::documents::documents_batch_reader_from_objects;
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use crate::index::tests::TempIndex;
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use crate::update::DeleteDocuments;
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#[test]
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fn delete_mixed_incremental_and_bulk() {
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// The point of this test is to create an index populated with documents
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// containing different filterable attributes. Then, we delete a bunch of documents
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// such that a mix of the incremental and bulk indexer is used (depending on the field id)
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let index = TempIndex::new_with_map_size(4096 * 1000 * 100);
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index
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.update_settings(|settings| {
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settings.set_filterable_fields(
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hashset! { S("id"), S("label"), S("timestamp"), S("colour") },
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);
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})
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.unwrap();
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let mut documents = vec![];
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for i in 0..1000 {
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documents.push(
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serde_json::json! {
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{
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"id": i,
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"label": i / 10,
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"colour": i / 100,
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"timestamp": i / 2,
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}
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}
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.as_object()
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.unwrap()
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.clone(),
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);
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}
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let documents = documents_batch_reader_from_objects(documents);
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index.add_documents(documents).unwrap();
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db_snap!(index, facet_id_f64_docids, 1);
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db_snap!(index, number_faceted_documents_ids, 1);
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let mut wtxn = index.env.write_txn().unwrap();
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let mut builder = DeleteDocuments::new(&mut wtxn, &index).unwrap();
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builder.disable_soft_deletion(true);
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builder.delete_documents(&RoaringBitmap::from_iter(0..100));
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// by deleting the first 100 documents, we expect that:
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// - the "id" part of the DB will be updated in bulk, since #affected_facet_value = 100 which is > database_len / 150 (= 13)
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// - the "label" part will be updated incrementally, since #affected_facet_value = 10 which is < 13
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// - the "colour" part will also be updated incrementally, since #affected_values = 1 which is < 13
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// - the "timestamp" part will be updated in bulk, since #affected_values = 50 which is > 13
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// This has to be verified manually by inserting breakpoint/adding print statements to the code when running the test
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builder.execute().unwrap();
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wtxn.commit().unwrap();
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db_snap!(index, soft_deleted_documents_ids, @"[]");
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db_snap!(index, facet_id_f64_docids, 2);
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db_snap!(index, number_faceted_documents_ids, 2);
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}
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}
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#[allow(unused)]
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#[cfg(test)]
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mod comparison_bench {
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use std::iter::once;
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use rand::Rng;
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use roaring::RoaringBitmap;
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use crate::heed_codec::facet::OrderedF64Codec;
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use crate::update::facet::tests::FacetIndex;
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// This is a simple test to get an intuition on the relative speed
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// of the incremental vs. bulk indexer.
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//
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// The benchmark shows the worst-case scenario for the incremental indexer, since
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// each facet value contains only one document ID.
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//
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// In that scenario, it appears that the incremental indexer is about 70 times slower than the
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// bulk indexer.
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// #[test]
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fn benchmark_facet_indexing_delete() {
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let mut r = rand::thread_rng();
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for i in 1..=20 {
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let size = 50_000 * i;
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let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
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let mut txn = index.env.write_txn().unwrap();
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let mut elements = Vec::<((u16, f64), RoaringBitmap)>::new();
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for i in 0..size {
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// field id = 0, left_bound = i, docids = [i]
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elements.push(((0, i as f64), once(i).collect()));
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}
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let timer = std::time::Instant::now();
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index.bulk_insert(&mut txn, &[0], elements.iter());
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let time_spent = timer.elapsed().as_millis();
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println!("bulk {size} : {time_spent}ms");
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txn.commit().unwrap();
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for nbr_doc in [1, 100, 1000, 10_000] {
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let mut txn = index.env.write_txn().unwrap();
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let timer = std::time::Instant::now();
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//
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// delete one document
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//
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for _ in 0..nbr_doc {
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let deleted_u32 = r.gen::<u32>() % size;
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let deleted_f64 = deleted_u32 as f64;
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index.delete_single_docid(&mut txn, 0, &deleted_f64, deleted_u32)
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}
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let time_spent = timer.elapsed().as_millis();
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println!(" delete {nbr_doc} : {time_spent}ms");
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txn.abort().unwrap();
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}
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}
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}
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}
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@ -78,6 +78,9 @@ pub const FACET_MIN_LEVEL_SIZE: u8 = 5;
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use std::fs::File;
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use log::debug;
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use time::OffsetDateTime;
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use self::incremental::FacetsUpdateIncremental;
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use super::FacetsUpdateBulk;
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use crate::facet::FacetType;
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@ -89,6 +92,10 @@ pub mod bulk;
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pub mod delete;
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pub mod incremental;
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/// A builder used to add new elements to the `facet_id_string_docids` or `facet_id_f64_docids` databases.
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///
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/// Depending on the number of new elements and the existing size of the database, we use either
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/// a bulk update method or an incremental update method.
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pub struct FacetsUpdate<'i> {
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index: &'i Index,
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database: heed::Database<FacetGroupKeyCodec<ByteSliceRefCodec>, FacetGroupValueCodec>,
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@ -123,6 +130,10 @@ impl<'i> FacetsUpdate<'i> {
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if self.new_data.is_empty() {
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return Ok(());
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}
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debug!("Computing and writing the facet values levels docids into LMDB on disk...");
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self.index.set_updated_at(wtxn, &OffsetDateTime::now_utc())?;
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// See self::comparison_bench::benchmark_facet_indexing
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if self.new_data.len() >= (self.database.len(wtxn)? as u64 / 50) {
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let field_ids =
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self.index.faceted_fields_ids(wtxn)?.iter().copied().collect::<Vec<_>>();
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@ -204,7 +215,7 @@ pub(crate) mod tests {
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let min_level_size = std::cmp::min(17, std::cmp::max(1, min_level_size)); // 1 <= x <= 17
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let mut options = heed::EnvOpenOptions::new();
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let options = options.map_size(4096 * 4 * 10 * 100);
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let options = options.map_size(4096 * 4 * 10 * 1000);
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unsafe {
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options.flag(heed::flags::Flags::MdbAlwaysFreePages);
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}
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@ -230,7 +241,7 @@ pub(crate) mod tests {
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let max_group_size = std::cmp::min(127, std::cmp::max(group_size * 2, max_group_size)); // 2*group_size <= x <= 127
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let min_level_size = std::cmp::max(1, min_level_size); // 1 <= x <= inf
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let mut options = heed::EnvOpenOptions::new();
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let options = options.map_size(4096 * 4 * 1000);
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let options = options.map_size(4096 * 4 * 1000 * 100);
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let tempdir = tempfile::TempDir::new().unwrap();
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let env = options.open(tempdir.path()).unwrap();
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let content = env.create_database(None).unwrap();
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@ -440,12 +451,14 @@ mod comparison_bench {
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// This is a simple test to get an intuition on the relative speed
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// of the incremental vs. bulk indexer.
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// It appears that the incremental indexer is about 50 times slower than the
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//
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// The benchmark shows the worst-case scenario for the incremental indexer, since
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// each facet value contains only one document ID.
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//
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// In that scenario, it appears that the incremental indexer is about 50 times slower than the
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// bulk indexer.
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// #[test]
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fn benchmark_facet_indexing() {
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// then we add 10_000 documents at a time and compare the speed of adding 1, 100, and 1000 documents to it
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let mut facet_value = 0;
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let mut r = rand::thread_rng();
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@ -0,0 +1,4 @@
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---
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source: milli/src/update/facet/delete.rs
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---
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550cd138d6fe31ccdd42cd5392fbd576
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@ -0,0 +1,4 @@
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---
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source: milli/src/update/facet/delete.rs
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---
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9a0ea88e7c9dcf6dc0ef0b601736ffcf
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@ -0,0 +1,4 @@
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---
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source: milli/src/update/facet/delete.rs
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---
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d4d5f14e7f1e1f09b86821a0b6defcc6
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@ -0,0 +1,4 @@
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---
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source: milli/src/update/facet/delete.rs
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---
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3570e0ac0fdb21be9ebe433f59264b56
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@ -1,4 +0,0 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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@ -1,4 +0,0 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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@ -1,6 +1,6 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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2 0 1.2 1.2 [20, 22, ]
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2 0 2.2 2.2 [21, ]
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2 0 1.2 1 [20, 22, ]
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2 0 2.2 1 [21, ]
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@ -1,19 +1,19 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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1 abstract abstract [2, 6, 10, 13, 14, 15, 16, 17, ]
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1 aquarium aquarium [5, ]
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1 art art [4, 5, 8, 9, 10, 12, 17, ]
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1 cartoon cartoon [2, 7, 15, 17, ]
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1 colorfulness colorfulness [13, ]
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1 design design [2, 18, ]
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1 drawing drawing [3, 4, 5, 8, 10, 11, 16, ]
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1 geometry geometry [19, ]
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1 letter letter [1, ]
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1 outdoor outdoor [4, ]
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1 painting painting [3, ]
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1 pattern pattern [2, 3, 9, 10, 13, 14, 16, ]
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1 sign sign [0, ]
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2 design design [21, ]
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2 geometry geometry [20, 22, ]
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1 0 abstract 1 [2, 6, 10, 13, 14, 15, 16, 17, ]
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1 0 aquarium 1 [5, ]
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1 0 art 1 [4, 5, 8, 9, 10, 12, 17, ]
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1 0 cartoon 1 [2, 7, 15, 17, ]
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1 0 colorfulness 1 [13, ]
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1 0 design 1 [2, 18, ]
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1 0 drawing 1 [3, 4, 5, 8, 10, 11, 16, ]
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1 0 geometry 1 [19, ]
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1 0 letter 1 [1, ]
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1 0 outdoor 1 [4, ]
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1 0 painting 1 [3, ]
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1 0 pattern 1 [2, 3, 9, 10, 13, 14, 16, ]
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1 0 sign 1 [0, ]
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2 0 design 1 [21, ]
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2 0 geometry 1 [20, 22, ]
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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[0, ]
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[0, 20, 22, ]
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@ -2,5 +2,5 @@
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source: milli/src/update/delete_documents.rs
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---
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1 [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, ]
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2 [20, 21, 22, ]
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2 [21, ]
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@ -1,6 +1,5 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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2 0 1.2 1.2 [20, 22, ]
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2 0 2.2 2.2 [21, ]
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2 0 2.2 1 [21, ]
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@ -1,18 +1,17 @@
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---
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source: milli/src/update/delete_documents.rs
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---
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1 abstract abstract [2, 6, 10, 13, 14, 15, 16, 17, ]
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1 aquarium aquarium [5, ]
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1 art art [4, 5, 8, 9, 10, 12, 17, ]
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1 cartoon cartoon [2, 7, 15, 17, ]
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1 colorfulness colorfulness [13, ]
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1 design design [2, 18, ]
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1 drawing drawing [3, 4, 5, 8, 10, 11, 16, ]
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1 geometry geometry [19, ]
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1 letter letter [1, ]
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1 outdoor outdoor [4, ]
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1 painting painting [3, ]
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1 pattern pattern [2, 3, 9, 10, 13, 14, 16, ]
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2 design design [21, ]
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2 geometry geometry [20, 22, ]
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1 0 abstract 1 [2, 6, 10, 13, 14, 15, 16, 17, ]
|
||||
1 0 aquarium 1 [5, ]
|
||||
1 0 art 1 [4, 5, 8, 9, 10, 12, 17, ]
|
||||
1 0 cartoon 1 [2, 7, 15, 17, ]
|
||||
1 0 colorfulness 1 [13, ]
|
||||
1 0 design 1 [2, 18, ]
|
||||
1 0 drawing 1 [3, 4, 5, 8, 10, 11, 16, ]
|
||||
1 0 geometry 1 [19, ]
|
||||
1 0 letter 1 [1, ]
|
||||
1 0 outdoor 1 [4, ]
|
||||
1 0 painting 1 [3, ]
|
||||
1 0 pattern 1 [2, 3, 9, 10, 13, 14, 16, ]
|
||||
2 0 design 1 [21, ]
|
||||
|
||||
|
|
|
|||
|
|
@ -1,7 +1,6 @@
|
|||
---
|
||||
source: milli/src/update/delete_documents.rs
|
||||
---
|
||||
1.2 [20, 22, ]
|
||||
1_36 [3, ]
|
||||
1_37 [4, ]
|
||||
1_38 [5, ]
|
||||
|
|
@ -21,9 +20,7 @@ source: milli/src/update/delete_documents.rs
|
|||
1_68 [18, ]
|
||||
1_69 [19, ]
|
||||
1_7 [2, ]
|
||||
1_70 [20, ]
|
||||
1_71 [21, ]
|
||||
1_72 [22, ]
|
||||
2.2 [21, ]
|
||||
abstract [2, 6, 10, 13, 14, 15, 16, 17, ]
|
||||
aquarium [5, ]
|
||||
|
|
@ -32,7 +29,7 @@ cartoon [2, 7, 15, 17, ]
|
|||
colorfulness [13, ]
|
||||
design [2, 18, 21, ]
|
||||
drawing [3, 4, 5, 8, 10, 11, 16, ]
|
||||
geometry [19, 20, 22, ]
|
||||
geometry [19, ]
|
||||
letter [1, ]
|
||||
outdoor [4, ]
|
||||
painting [3, ]
|
||||
|
|
|
|||
|
|
@ -1,48 +1,53 @@
|
|||
---
|
||||
source: milli/src/update/delete_documents.rs
|
||||
---
|
||||
3 0 48.9021 48.9021 [19, ]
|
||||
3 0 49.4449 49.4449 [18, ]
|
||||
3 0 49.9314 49.9314 [17, ]
|
||||
3 0 50.1112 50.1112 [16, ]
|
||||
3 0 50.1793 50.1793 [15, ]
|
||||
3 0 50.2844 50.2844 [14, ]
|
||||
3 0 50.3518 50.3518 [13, ]
|
||||
3 0 50.4095 50.4095 [11, ]
|
||||
3 0 50.4502 50.4502 [12, ]
|
||||
3 0 50.6053 50.6053 [8, ]
|
||||
3 0 50.6224 50.6224 [3, ]
|
||||
3 0 50.6299 50.6299 [0, ]
|
||||
3 0 50.6312 50.6312 [2, ]
|
||||
3 0 50.6415 50.6415 [1, ]
|
||||
3 0 50.6552 50.6552 [4, ]
|
||||
3 0 50.6924 50.6924 [5, ]
|
||||
3 0 50.7263 50.7263 [6, ]
|
||||
3 0 50.7453 50.7453 [7, ]
|
||||
3 0 50.8466 50.8466 [10, ]
|
||||
3 0 51.0537 51.0537 [9, ]
|
||||
3 1 48.9021 50.1112 [16, 17, 18, 19, ]
|
||||
3 1 50.1793 50.4095 [11, 13, 14, 15, ]
|
||||
3 1 50.4502 50.6299 [0, 3, 8, 12, ]
|
||||
3 1 50.6312 50.6924 [1, 2, 4, 5, ]
|
||||
3 1 50.7263 51.0537 [6, 7, 9, 10, ]
|
||||
4 0 2.271 2.271 [17, ]
|
||||
4 0 2.3708 2.3708 [19, ]
|
||||
4 0 2.7637 2.7637 [14, ]
|
||||
4 0 2.7913 2.7913 [18, ]
|
||||
4 0 2.8547 2.8547 [16, ]
|
||||
4 0 3.0569 3.0569 [0, ]
|
||||
4 0 3.1106 3.1106 [1, 2, ]
|
||||
4 0 3.1476 3.1476 [3, ]
|
||||
4 0 3.1541 3.1541 [6, ]
|
||||
4 0 3.1763 3.1763 [5, ]
|
||||
4 0 3.1897 3.1897 [4, ]
|
||||
4 0 3.2189 3.2189 [15, ]
|
||||
4 0 3.2206 3.2206 [7, ]
|
||||
4 0 3.3758 3.3758 [8, ]
|
||||
4 0 3.5326 3.5326 [13, ]
|
||||
4 0 3.6957 3.6957 [9, ]
|
||||
4 0 3.9623 3.9623 [12, ]
|
||||
4 0 4.337 4.337 [10, ]
|
||||
4 0 4.4347 4.4347 [11, ]
|
||||
3 0 48.9021 1 [19, ]
|
||||
3 0 49.4449 1 [18, ]
|
||||
3 0 49.9314 1 [17, ]
|
||||
3 0 50.1112 1 [16, ]
|
||||
3 0 50.1793 1 [15, ]
|
||||
3 0 50.2844 1 [14, ]
|
||||
3 0 50.3518 1 [13, ]
|
||||
3 0 50.4095 1 [11, ]
|
||||
3 0 50.4502 1 [12, ]
|
||||
3 0 50.6053 1 [8, ]
|
||||
3 0 50.6224 1 [3, ]
|
||||
3 0 50.6299 1 [0, ]
|
||||
3 0 50.6312 1 [2, ]
|
||||
3 0 50.6415 1 [1, ]
|
||||
3 0 50.6552 1 [4, ]
|
||||
3 0 50.6924 1 [5, ]
|
||||
3 0 50.7263 1 [6, ]
|
||||
3 0 50.7453 1 [7, ]
|
||||
3 0 50.8466 1 [10, ]
|
||||
3 0 51.0537 1 [9, ]
|
||||
3 1 48.9021 4 [16, 17, 18, 19, ]
|
||||
3 1 50.1793 4 [11, 13, 14, 15, ]
|
||||
3 1 50.4502 4 [0, 3, 8, 12, ]
|
||||
3 1 50.6312 4 [1, 2, 4, 5, ]
|
||||
3 1 50.7263 4 [6, 7, 9, 10, ]
|
||||
4 0 2.271 1 [17, ]
|
||||
4 0 2.3708 1 [19, ]
|
||||
4 0 2.7637 1 [14, ]
|
||||
4 0 2.7913 1 [18, ]
|
||||
4 0 2.8547 1 [16, ]
|
||||
4 0 3.0569 1 [0, ]
|
||||
4 0 3.1106 1 [1, 2, ]
|
||||
4 0 3.1476 1 [3, ]
|
||||
4 0 3.1541 1 [6, ]
|
||||
4 0 3.1763 1 [5, ]
|
||||
4 0 3.1897 1 [4, ]
|
||||
4 0 3.2189 1 [15, ]
|
||||
4 0 3.2206 1 [7, ]
|
||||
4 0 3.3758 1 [8, ]
|
||||
4 0 3.5326 1 [13, ]
|
||||
4 0 3.6957 1 [9, ]
|
||||
4 0 3.9623 1 [12, ]
|
||||
4 0 4.337 1 [10, ]
|
||||
4 0 4.4347 1 [11, ]
|
||||
4 1 2.271 4 [14, 17, 18, 19, ]
|
||||
4 1 2.8547 4 [0, 1, 2, 3, 16, ]
|
||||
4 1 3.1541 4 [4, 5, 6, 15, ]
|
||||
4 1 3.2206 4 [7, 8, 9, 13, ]
|
||||
4 1 3.9623 3 [10, 11, 12, ]
|
||||
|
||||
|
|
|
|||
|
|
@ -1,36 +1,31 @@
|
|||
---
|
||||
source: milli/src/update/delete_documents.rs
|
||||
---
|
||||
3 0 48.9021 48.9021 [19, ]
|
||||
3 0 49.9314 49.9314 [17, ]
|
||||
3 0 50.1793 50.1793 [15, ]
|
||||
3 0 50.2844 50.2844 [14, ]
|
||||
3 0 50.3518 50.3518 [13, ]
|
||||
3 0 50.4502 50.4502 [12, ]
|
||||
3 0 50.6053 50.6053 [8, ]
|
||||
3 0 50.6224 50.6224 [3, ]
|
||||
3 0 50.6299 50.6299 [0, ]
|
||||
3 0 50.6312 50.6312 [2, ]
|
||||
3 0 50.6415 50.6415 [1, ]
|
||||
3 0 50.7453 50.7453 [7, ]
|
||||
3 0 50.8466 50.8466 [10, ]
|
||||
3 0 51.0537 51.0537 [9, ]
|
||||
3 1 48.9021 50.1112 [17, 19, ]
|
||||
3 1 50.1793 50.4095 [13, 14, 15, ]
|
||||
3 1 50.4502 50.6299 [0, 3, 8, 12, ]
|
||||
3 1 50.6312 50.6924 [1, 2, ]
|
||||
3 1 50.7263 51.0537 [7, 9, 10, ]
|
||||
4 0 2.271 2.271 [17, ]
|
||||
4 0 2.3708 2.3708 [19, ]
|
||||
4 0 2.7637 2.7637 [14, ]
|
||||
4 0 3.0569 3.0569 [0, ]
|
||||
4 0 3.1106 3.1106 [1, 2, ]
|
||||
4 0 3.1476 3.1476 [3, ]
|
||||
4 0 3.2189 3.2189 [15, ]
|
||||
4 0 3.2206 3.2206 [7, ]
|
||||
4 0 3.3758 3.3758 [8, ]
|
||||
4 0 3.5326 3.5326 [13, ]
|
||||
4 0 3.6957 3.6957 [9, ]
|
||||
4 0 3.9623 3.9623 [12, ]
|
||||
4 0 4.337 4.337 [10, ]
|
||||
3 0 48.9021 1 [19, ]
|
||||
3 0 49.9314 1 [17, ]
|
||||
3 0 50.1793 1 [15, ]
|
||||
3 0 50.2844 1 [14, ]
|
||||
3 0 50.3518 1 [13, ]
|
||||
3 0 50.4502 1 [12, ]
|
||||
3 0 50.6053 1 [8, ]
|
||||
3 0 50.6224 1 [3, ]
|
||||
3 0 50.6299 1 [0, ]
|
||||
3 0 50.6312 1 [2, ]
|
||||
3 0 50.6415 1 [1, ]
|
||||
3 0 50.7453 1 [7, ]
|
||||
3 0 50.8466 1 [10, ]
|
||||
3 0 51.0537 1 [9, ]
|
||||
4 0 2.271 1 [17, ]
|
||||
4 0 2.3708 1 [19, ]
|
||||
4 0 2.7637 1 [14, ]
|
||||
4 0 3.0569 1 [0, ]
|
||||
4 0 3.1106 1 [1, 2, ]
|
||||
4 0 3.1476 1 [3, ]
|
||||
4 0 3.2189 1 [15, ]
|
||||
4 0 3.2206 1 [7, ]
|
||||
4 0 3.3758 1 [8, ]
|
||||
4 0 3.5326 1 [13, ]
|
||||
4 0 3.6957 1 [9, ]
|
||||
4 0 3.9623 1 [12, ]
|
||||
4 0 4.337 1 [10, ]
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user