mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-22 10:07:40 +08:00
Fix bugs in incremental facet indexing with variable parameters
e.g. add one facet value incrementally with a group_size = X and then add another one with group_size = Y It is not actually possible to do so with the public API of milli, but I wanted to make sure the algorithm worked well in those cases anyway. The bugs were found by fuzzing the code with fuzzcheck, which I've added to milli as a conditional dev-dependency. But it can be removed later.
This commit is contained in:
Loïc Lecrenier
Loïc Lecrenier
parent
de52a9bf75
commit
86d9f50b9c
2
.gitignore
vendored
2
.gitignore
vendored
@ -2,6 +2,8 @@
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/target
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/Cargo.lock
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milli/target/
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# datasets
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*.csv
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*.mmdb
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@ -56,6 +56,9 @@ maplit = "1.0.2"
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md5 = "0.7.0"
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rand = {version = "0.8.5", features = ["small_rng"] }
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[target.'cfg(fuzzing)'.dev-dependencies]
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fuzzcheck = { path = "../../fuzzcheck-rs/fuzzcheck" }
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[features]
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default = [ "charabia/default" ]
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@ -1,3 +1,5 @@
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#![cfg_attr(all(test, fuzzing), feature(no_coverage))]
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#[macro_use]
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pub mod documents;
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@ -9,8 +9,7 @@ use super::{Criterion, CriterionParameters, CriterionResult};
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use crate::facet::FacetType;
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use crate::heed_codec::facet::{ByteSliceRef, FacetGroupKeyCodec};
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use crate::search::criteria::{resolve_query_tree, CriteriaBuilder};
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use crate::search::facet::ascending_facet_sort;
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use crate::search::facet::descending_facet_sort;
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use crate::search::facet::{ascending_facet_sort, descending_facet_sort};
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use crate::search::query_tree::Operation;
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use crate::{FieldId, Index, Result};
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@ -1,11 +1,13 @@
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use std::ops::ControlFlow;
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use heed::Result;
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use roaring::RoaringBitmap;
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use super::{get_first_facet_value, get_highest_level};
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use crate::heed_codec::facet::{
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ByteSliceRef, FacetGroupKey, FacetGroupKeyCodec, FacetGroupValueCodec,
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};
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use crate::DocumentId;
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use heed::Result;
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use roaring::RoaringBitmap;
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use std::ops::ControlFlow;
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/// Call the given closure on the facet distribution of the candidate documents.
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///
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@ -1,11 +1,12 @@
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pub use self::facet_distribution::{FacetDistribution, DEFAULT_VALUES_PER_FACET};
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pub use self::filter::Filter;
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use crate::heed_codec::facet::{ByteSliceRef, FacetGroupKeyCodec, FacetGroupValueCodec};
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pub use facet_sort_ascending::ascending_facet_sort;
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pub use facet_sort_descending::descending_facet_sort;
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use heed::types::{ByteSlice, DecodeIgnore};
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use heed::{BytesDecode, RoTxn};
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pub use self::facet_distribution::{FacetDistribution, DEFAULT_VALUES_PER_FACET};
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pub use self::filter::Filter;
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use crate::heed_codec::facet::{ByteSliceRef, FacetGroupKeyCodec, FacetGroupValueCodec};
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mod facet_distribution;
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mod facet_distribution_iter;
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mod facet_range_search;
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@ -14,6 +14,7 @@ use crate::{CboRoaringBitmapCodec, FieldId, Index, Result};
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enum InsertionResult {
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InPlace,
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Expand,
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Insert,
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}
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enum DeletionResult {
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@ -251,6 +252,7 @@ impl FacetsUpdateIncrementalInner {
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return Ok(InsertionResult::InPlace);
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}
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InsertionResult::Expand => {}
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InsertionResult::Insert => {}
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}
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@ -258,7 +260,7 @@ impl FacetsUpdateIncrementalInner {
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// of a new key. Therefore, it may be the case that we need to modify the left bound of the
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// insertion key (see documentation of `find_insertion_key_value` for an example of when that
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// could happen).
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let insertion_key = {
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let (insertion_key, insertion_key_was_modified) = {
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let mut new_insertion_key = insertion_key.clone();
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let mut key_should_be_modified = false;
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@ -271,7 +273,7 @@ impl FacetsUpdateIncrementalInner {
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assert!(is_deleted);
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self.db.put(txn, &new_insertion_key.as_ref(), &insertion_value)?;
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}
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new_insertion_key
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(new_insertion_key, key_should_be_modified)
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};
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// Now we know that the insertion key contains the `facet_value`.
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@ -280,20 +282,25 @@ impl FacetsUpdateIncrementalInner {
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// 2. Merge the previous docids with the new one
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let mut updated_value = insertion_value;
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if matches!(result, InsertionResult::Insert) {
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updated_value.size += 1;
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}
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if updated_value.size < max_group_size {
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updated_value.bitmap |= docids;
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self.db.put(txn, &insertion_key.as_ref(), &updated_value)?;
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if insertion_key_was_modified {
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return Ok(InsertionResult::Expand);
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} else {
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return Ok(InsertionResult::InPlace);
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}
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}
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// We've increased the group size of the value and realised it has become greater than or equal to `max_group_size`
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// Therefore it must be split into two nodes.
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let size_left = max_group_size / 2;
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let size_right = max_group_size - size_left;
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let size_left = updated_value.size / 2;
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let size_right = updated_value.size - size_left;
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let level_below = level - 1;
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@ -303,7 +310,8 @@ impl FacetsUpdateIncrementalInner {
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left_bound: insertion_key.left_bound.as_slice(),
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};
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let mut iter = self.db.range(&txn, &(start_key..))?.take(max_group_size as usize);
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let mut iter =
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self.db.range(&txn, &(start_key..))?.take((size_left as usize) + (size_right as usize));
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let group_left = {
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let mut values_left = RoaringBitmap::new();
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@ -368,6 +376,7 @@ impl FacetsUpdateIncrementalInner {
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self.insert_in_level(txn, field_id, highest_level as u8, facet_value, docids)?;
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match result {
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InsertionResult::InPlace => return Ok(()),
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InsertionResult::Expand => return Ok(()),
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InsertionResult::Insert => {}
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}
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@ -393,8 +402,11 @@ impl FacetsUpdateIncrementalInner {
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.as_polymorph()
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.prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(&txn, &highest_level_prefix)?;
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let nbr_new_groups = size_highest_level / self.group_size as usize;
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let nbr_leftover_elements = size_highest_level % self.group_size as usize;
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let mut to_add = vec![];
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for _ in 0..self.min_level_size {
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for _ in 0..nbr_new_groups {
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let mut first_key = None;
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let mut values = RoaringBitmap::new();
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for _ in 0..group_size {
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@ -415,6 +427,30 @@ impl FacetsUpdateIncrementalInner {
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let value = FacetGroupValue { size: group_size as u8, bitmap: values };
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to_add.push((key.into_owned(), value));
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}
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// now we add the rest of the level, in case its size is > group_size * min_level_size
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// this can indeed happen if the min_level_size parameter changes between two calls to `insert`
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if nbr_leftover_elements > 0 {
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let mut first_key = None;
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let mut values = RoaringBitmap::new();
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for _ in 0..nbr_leftover_elements {
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let (key_bytes, value_i) = groups_iter.next().unwrap()?;
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let key_i = FacetGroupKeyCodec::<ByteSliceRef>::bytes_decode(&key_bytes)
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.ok_or(Error::Encoding)?;
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if first_key.is_none() {
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first_key = Some(key_i);
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}
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values |= value_i.bitmap;
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}
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let key = FacetGroupKey {
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field_id,
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level: highest_level + 1,
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left_bound: first_key.unwrap().left_bound,
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};
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let value = FacetGroupValue { size: nbr_leftover_elements as u8, bitmap: values };
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to_add.push((key.into_owned(), value));
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}
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drop(groups_iter);
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for (key, value) in to_add {
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self.db.put(txn, &key.as_ref(), &value)?;
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@ -983,243 +1019,345 @@ mod tests {
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// fuzz tests
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}
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// #[cfg(all(test, fuzzing))]
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// mod fuzz {
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// use crate::codec::U16Codec;
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#[cfg(all(test, fuzzing))]
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mod fuzz {
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use std::borrow::Cow;
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use std::collections::{BTreeMap, HashMap};
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use std::convert::TryFrom;
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use std::rc::Rc;
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// use super::tests::verify_structure_validity;
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// use super::*;
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// use fuzzcheck::mutators::integer_within_range::U16WithinRangeMutator;
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// use fuzzcheck::DefaultMutator;
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// use roaring::RoaringBitmap;
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// use std::collections::BTreeMap;
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// use std::collections::HashMap;
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use fuzzcheck::mutators::integer_within_range::{U16WithinRangeMutator, U8WithinRangeMutator};
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use fuzzcheck::DefaultMutator;
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use heed::BytesEncode;
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use roaring::RoaringBitmap;
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use tempfile::TempDir;
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// #[derive(Default)]
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// pub struct TrivialDatabase<T> {
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// pub elements: BTreeMap<u16, BTreeMap<T, RoaringBitmap>>,
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// }
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// impl<T> TrivialDatabase<T>
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// where
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// T: Ord + Clone + Copy + Eq + std::fmt::Debug,
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// {
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// pub fn insert(&mut self, field_id: u16, new_key: T, new_values: &RoaringBitmap) {
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// if new_values.is_empty() {
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// return;
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// }
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// let values_field_id = self.elements.entry(field_id).or_default();
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// let values = values_field_id.entry(new_key).or_default();
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// *values |= new_values;
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// }
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// pub fn delete(&mut self, field_id: u16, key: T, value: u32) {
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// if let Some(values_field_id) = self.elements.get_mut(&field_id) {
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// if let Some(values) = values_field_id.get_mut(&key) {
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// values.remove(value);
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// if values.is_empty() {
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// values_field_id.remove(&key);
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// }
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// }
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// if values_field_id.is_empty() {
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// self.elements.remove(&field_id);
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// }
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// }
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// }
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// }
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// #[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
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// struct Operation<Key> {
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// key: Key,
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// #[field_mutator(U16WithinRangeMutator = { U16WithinRangeMutator::new(..=3) })]
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// field_id: u16,
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// kind: OperationKind,
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// }
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// #[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
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// enum OperationKind {
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// Insert(Vec<u8>),
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// Delete(u8),
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// }
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use super::*;
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use crate::milli_snap;
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use crate::update::facet::tests::FacetIndex;
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// fn compare_with_trivial_database(
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// tempdir: Rc<TempDir>,
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// group_size: u8,
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// max_group_size: u8,
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// operations: &[Operation<u16>],
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// ) {
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// let index = FacetIndex::<OrderedF64Codec>::open_from_tempdir(tempdir, group_size, max_group_size);
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// let mut trivial_db = TrivialDatabase::<u16>::default();
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// let mut value_to_keys = HashMap::<u8, Vec<u16>>::new();
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struct NEU16Codec;
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impl<'a> BytesEncode<'a> for NEU16Codec {
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type EItem = u16;
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#[no_coverage]
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fn bytes_encode(item: &'a Self::EItem) -> Option<std::borrow::Cow<'a, [u8]>> {
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Some(Cow::Owned(item.to_be_bytes().to_vec()))
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}
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}
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impl<'a> BytesDecode<'a> for NEU16Codec {
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type DItem = u16;
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#[no_coverage]
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fn bytes_decode(bytes: &'a [u8]) -> Option<Self::DItem> {
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let bytes = <[u8; 2]>::try_from(&bytes[0..=1]).unwrap();
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Some(u16::from_be_bytes(bytes))
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}
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}
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#[derive(Default)]
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pub struct TrivialDatabase<T> {
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pub elements: BTreeMap<u16, BTreeMap<T, RoaringBitmap>>,
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}
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impl<T> TrivialDatabase<T>
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where
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T: Ord + Clone + Copy + Eq + std::fmt::Debug,
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{
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#[no_coverage]
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pub fn insert(&mut self, field_id: u16, new_key: T, new_values: &RoaringBitmap) {
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if new_values.is_empty() {
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return;
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}
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let values_field_id = self.elements.entry(field_id).or_default();
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let values = values_field_id.entry(new_key).or_default();
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*values |= new_values;
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}
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#[no_coverage]
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pub fn delete(&mut self, field_id: u16, key: T, value: u32) {
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if let Some(values_field_id) = self.elements.get_mut(&field_id) {
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if let Some(values) = values_field_id.get_mut(&key) {
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values.remove(value);
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if values.is_empty() {
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values_field_id.remove(&key);
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}
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}
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if values_field_id.is_empty() {
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self.elements.remove(&field_id);
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}
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}
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}
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}
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#[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
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struct Operation<Key> {
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key: Key,
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#[field_mutator(U8WithinRangeMutator = { U8WithinRangeMutator::new(..32) })]
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group_size: u8,
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#[field_mutator(U8WithinRangeMutator = { U8WithinRangeMutator::new(..32) })]
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max_group_size: u8,
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#[field_mutator(U8WithinRangeMutator = { U8WithinRangeMutator::new(..32) })]
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min_level_size: u8,
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#[field_mutator(U16WithinRangeMutator = { U16WithinRangeMutator::new(..=3) })]
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field_id: u16,
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kind: OperationKind,
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}
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#[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
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enum OperationKind {
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Insert(Vec<u8>),
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Delete(u8),
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}
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#[no_coverage]
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fn compare_with_trivial_database(tempdir: Rc<TempDir>, operations: &[Operation<u16>]) {
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let index = FacetIndex::<NEU16Codec>::open_from_tempdir(tempdir, 4, 8, 5); // dummy params, they'll be overwritten
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// let mut txn = index.env.write_txn().unwrap();
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// for Operation { key, field_id, kind } in operations {
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// match kind {
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// OperationKind::Insert(values) => {
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// let mut bitmap = RoaringBitmap::new();
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// for value in values {
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// bitmap.insert(*value as u32);
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// value_to_keys.entry(*value).or_default().push(*key);
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// }
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// index.insert(&mut txn, *field_id, key, &bitmap);
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// trivial_db.insert(*field_id, *key, &bitmap);
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// }
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// OperationKind::Delete(value) => {
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// if let Some(keys) = value_to_keys.get(value) {
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// for key in keys {
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// index.delete(&mut txn, *field_id, key, *value as u32);
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// trivial_db.delete(*field_id, *key, *value as u32);
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// }
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// }
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// }
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// }
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// }
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// for (field_id, values_field_id) in trivial_db.elements.iter() {
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// let level0iter = index
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// .db
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// .content
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// .as_polymorph()
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// .prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(
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// &mut txn,
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// &field_id.to_be_bytes(),
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// )
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// .unwrap();
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let mut txn = index.env.write_txn().unwrap();
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// for ((key, values), group) in values_field_id.iter().zip(level0iter) {
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// let (group_key, group_values) = group.unwrap();
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// let group_key = FacetGroupKeyCodec::<U16Codec>::bytes_decode(group_key).unwrap();
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// assert_eq!(key, &group_key.left_bound);
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// assert_eq!(values, &group_values.bitmap);
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// }
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// }
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let mut trivial_db = TrivialDatabase::<u16>::default();
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let mut value_to_keys = HashMap::<u8, Vec<u16>>::new();
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for Operation { key, group_size, max_group_size, min_level_size, field_id, kind } in
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operations
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{
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index.set_group_size(*group_size);
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index.set_max_group_size(*max_group_size);
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index.set_min_level_size(*min_level_size);
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match kind {
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OperationKind::Insert(values) => {
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let mut bitmap = RoaringBitmap::new();
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for value in values {
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bitmap.insert(*value as u32);
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value_to_keys.entry(*value).or_default().push(*key);
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}
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index.insert(&mut txn, *field_id, key, &bitmap);
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trivial_db.insert(*field_id, *key, &bitmap);
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}
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OperationKind::Delete(value) => {
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if let Some(keys) = value_to_keys.get(value) {
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for key in keys {
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index.delete(&mut txn, *field_id, key, *value as u32);
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trivial_db.delete(*field_id, *key, *value as u32);
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}
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}
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}
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}
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}
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||||
|
||||
// txn.commit().unwrap();
|
||||
// let mut txn = index.env.write_txn().unwrap();
|
||||
// for (field_id, values_field_id) in trivial_db.elements.iter() {
|
||||
// let level0iter = index
|
||||
// .db
|
||||
// .content
|
||||
// .as_polymorph()
|
||||
// .prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(&txn, &field_id.to_be_bytes())
|
||||
// .unwrap();
|
||||
for (field_id, values_field_id) in trivial_db.elements.iter() {
|
||||
let level0iter = index
|
||||
.content
|
||||
.as_polymorph()
|
||||
.prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(
|
||||
&mut txn,
|
||||
&field_id.to_be_bytes(),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
// for ((key, values), group) in values_field_id.iter().zip(level0iter) {
|
||||
// let (group_key, group_values) = group.unwrap();
|
||||
// let group_key = FacetGroupKeyCodec::<U16Codec>::bytes_decode(group_key).unwrap();
|
||||
// assert_eq!(key, &group_key.left_bound);
|
||||
// assert_eq!(values, &group_values.bitmap);
|
||||
// }
|
||||
// index.verify_structure_validity(*field_id);
|
||||
// }
|
||||
for ((key, values), group) in values_field_id.iter().zip(level0iter) {
|
||||
let (group_key, group_values) = group.unwrap();
|
||||
let group_key = FacetGroupKeyCodec::<NEU16Codec>::bytes_decode(group_key).unwrap();
|
||||
assert_eq!(key, &group_key.left_bound);
|
||||
assert_eq!(values, &group_values.bitmap);
|
||||
}
|
||||
}
|
||||
|
||||
// index.db.content.clear(&mut txn).unwrap();
|
||||
// txn.commit().unwrap();
|
||||
// }
|
||||
for (field_id, values_field_id) in trivial_db.elements.iter() {
|
||||
let level0iter = index
|
||||
.content
|
||||
.as_polymorph()
|
||||
.prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(&txn, &field_id.to_be_bytes())
|
||||
.unwrap();
|
||||
|
||||
// #[test]
|
||||
// fn fuzz() {
|
||||
// let tempdir = Rc::new(TempDir::new().unwrap());
|
||||
// let tempdir_cloned = tempdir.clone();
|
||||
// let result = fuzzcheck::fuzz_test(move |x: &(u8, u8, Vec<Operation<u16>>)| {
|
||||
// compare_with_trivial_database(tempdir_cloned.clone(), x.0, x.1, &x.2)
|
||||
// })
|
||||
// .default_mutator()
|
||||
// .serde_serializer()
|
||||
// .default_sensor_and_pool_with_custom_filter(|file, function| {
|
||||
// if file.is_relative()
|
||||
// && !function.contains("serde")
|
||||
// && !function.contains("tests::")
|
||||
// && !function.contains("fuzz::")
|
||||
// && !function.contains("display_bitmap")
|
||||
// {
|
||||
// true
|
||||
// } else {
|
||||
// false
|
||||
// }
|
||||
// })
|
||||
// .arguments_from_cargo_fuzzcheck()
|
||||
// .launch();
|
||||
// assert!(!result.found_test_failure);
|
||||
// }
|
||||
for ((key, values), group) in values_field_id.iter().zip(level0iter) {
|
||||
let (group_key, group_values) = group.unwrap();
|
||||
let group_key = FacetGroupKeyCodec::<NEU16Codec>::bytes_decode(group_key).unwrap();
|
||||
assert_eq!(key, &group_key.left_bound);
|
||||
assert_eq!(values, &group_values.bitmap);
|
||||
}
|
||||
index.verify_structure_validity(&txn, *field_id);
|
||||
}
|
||||
txn.abort().unwrap();
|
||||
}
|
||||
|
||||
// #[test]
|
||||
// fn reproduce_bug() {
|
||||
// let operations = r#"
|
||||
// [
|
||||
// {"key":0, "field_id": 0, "kind":{"Insert":[109]}},
|
||||
// {"key":143, "field_id": 0, "kind":{"Insert":[243]}},
|
||||
// {"key":90, "field_id": 0, "kind":{"Insert":[217]}},
|
||||
// {"key":172, "field_id": 0, "kind":{"Insert":[94]}},
|
||||
// {"key":27, "field_id": 0, "kind":{"Insert":[4]}},
|
||||
// {"key":124, "field_id": 0, "kind":{"Insert":[0]}},
|
||||
// {"key":123, "field_id": 0, "kind":{"Insert":[0]}},
|
||||
// {"key":67, "field_id": 0, "kind":{"Insert":[109]}},
|
||||
// {"key":13, "field_id": 0, "kind":{"Insert":[0]}},
|
||||
// {"key":162, "field_id": 0, "kind":{"Insert":[213]}},
|
||||
// {"key":235, "field_id": 0, "kind":{"Insert":[67]}},
|
||||
// {"key":251, "field_id": 0, "kind":{"Insert":[50]}},
|
||||
// {"key":218, "field_id": 0, "kind":{"Insert":[164]}},
|
||||
// {"key":166, "field_id": 0, "kind":{"Insert":[67]}},
|
||||
// {"key":64, "field_id": 0, "kind":{"Insert":[61]}},
|
||||
// {"key":183, "field_id": 0, "kind":{"Insert":[210]}},
|
||||
// {"key":250, "field_id": 0, "kind":{"Delete":50}}
|
||||
// ]
|
||||
// "#;
|
||||
// let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
// let tempdir = TempDir::new().unwrap();
|
||||
// compare_with_trivial_database(Rc::new(tempdir), 4, 8, &operations);
|
||||
// }
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn fuzz() {
|
||||
let tempdir = Rc::new(TempDir::new().unwrap());
|
||||
let tempdir_cloned = tempdir.clone();
|
||||
let result = fuzzcheck::fuzz_test(move |operations: &[Operation<u16>]| {
|
||||
compare_with_trivial_database(tempdir_cloned.clone(), operations)
|
||||
})
|
||||
.default_mutator()
|
||||
.serde_serializer()
|
||||
.default_sensor_and_pool_with_custom_filter(|file, function| {
|
||||
file == std::path::Path::new("milli/src/update/facet/incremental.rs")
|
||||
&& !function.contains("serde")
|
||||
&& !function.contains("tests::")
|
||||
&& !function.contains("fuzz::")
|
||||
&& !function.contains("display_bitmap")
|
||||
})
|
||||
.arguments_from_cargo_fuzzcheck()
|
||||
.launch();
|
||||
assert!(!result.found_test_failure);
|
||||
}
|
||||
|
||||
// #[test]
|
||||
// fn reproduce_bug2() {
|
||||
// let operations = r#"
|
||||
// [
|
||||
// {"key":102, "field_id": 0, "kind":{"Insert":[122]}},
|
||||
// {"key":73, "field_id": 0, "kind":{"Insert":[132]}},
|
||||
// {"key":20, "field_id": 0, "kind":{"Insert":[215]}},
|
||||
// {"key":39, "field_id": 0, "kind":{"Insert":[152]}},
|
||||
// {"key":151, "field_id": 0, "kind":{"Insert":[226]}},
|
||||
// {"key":17, "field_id": 0, "kind":{"Insert":[101]}},
|
||||
// {"key":74, "field_id": 0, "kind":{"Insert":[210]}},
|
||||
// {"key":2, "field_id": 0, "kind":{"Insert":[130]}},
|
||||
// {"key":64, "field_id": 0, "kind":{"Insert":[180]}},
|
||||
// {"key":83, "field_id": 0, "kind":{"Insert":[250]}},
|
||||
// {"key":80, "field_id": 0, "kind":{"Insert":[210]}},
|
||||
// {"key":113, "field_id": 0, "kind":{"Insert":[63]}},
|
||||
// {"key":201, "field_id": 0, "kind":{"Insert":[210]}},
|
||||
// {"key":200, "field_id": 0, "kind":{"Insert":[5]}},
|
||||
// {"key":93, "field_id": 0, "kind":{"Insert":[98]}},
|
||||
// {"key":162, "field_id": 0, "kind":{"Insert":[5]}},
|
||||
// {"key":80, "field_id": 0, "kind":{"Delete":210}}
|
||||
// ]
|
||||
// "#;
|
||||
// let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
// let tempdir = TempDir::new().unwrap();
|
||||
// compare_with_trivial_database(Rc::new(tempdir), 4, 8, &operations);
|
||||
// }
|
||||
// #[test]
|
||||
// fn reproduce_bug3() {
|
||||
// let operations = r#"
|
||||
// [
|
||||
// {"key":27488, "field_id": 0, "kind":{"Insert":[206]}},
|
||||
// {"key":64716, "field_id": 0, "kind":{"Insert":[216]}},
|
||||
// {"key":60886, "field_id": 0, "kind":{"Insert":[206]}},
|
||||
// {"key":59509, "field_id": 0, "kind":{"Insert":[187,231]}},
|
||||
// {"key":55057, "field_id": 0, "kind":{"Insert":[37]}},
|
||||
// {"key":45200, "field_id": 0, "kind":{"Insert":[206]}},
|
||||
// {"key":55056, "field_id": 0, "kind":{"Insert":[37]}},
|
||||
// {"key":63679, "field_id": 0, "kind":{"Insert":[206]}},
|
||||
// {"key":52155, "field_id": 0, "kind":{"Insert":[74]}},
|
||||
// {"key":20648, "field_id": 0, "kind":{"Insert":[47,138,157]}}
|
||||
// ]
|
||||
// "#;
|
||||
// let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
// let tempdir = TempDir::new().unwrap();
|
||||
// compare_with_trivial_database(Rc::new(tempdir), 0, 7, &operations);
|
||||
// }
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn reproduce_bug1() {
|
||||
let operations = r#"
|
||||
[
|
||||
{"key":0, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[109]}},
|
||||
{"key":143, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[243]}},
|
||||
{"key":90, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[217]}},
|
||||
{"key":172, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[94]}},
|
||||
{"key":27, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[4]}},
|
||||
{"key":124, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[0]}},
|
||||
{"key":123, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[0]}},
|
||||
{"key":67, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[109]}},
|
||||
{"key":13, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[0]}},
|
||||
{"key":162, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[213]}},
|
||||
{"key":235, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[67]}},
|
||||
{"key":251, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[50]}},
|
||||
{"key":218, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[164]}},
|
||||
{"key":166, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[67]}},
|
||||
{"key":64, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[61]}},
|
||||
{"key":183, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[210]}},
|
||||
{"key":250, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Delete":50}}
|
||||
]
|
||||
"#;
|
||||
let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
let tempdir = TempDir::new().unwrap();
|
||||
compare_with_trivial_database(Rc::new(tempdir), &operations);
|
||||
}
|
||||
|
||||
// #[test]
|
||||
// fn reproduce_bug4() {
|
||||
// let operations = r#"
|
||||
// [{"key":63499, "field_id": 0, "kind":{"Insert":[87]}},{"key":25374, "field_id": 0, "kind":{"Insert":[14]}},{"key":64481, "field_id": 0, "kind":{"Delete":87}},{"key":23038, "field_id": 0, "kind":{"Insert":[173]}},{"key":14862, "field_id": 0, "kind":{"Insert":[8]}},{"key":13145, "field_id": 0, "kind":{"Insert":[5,64]}},{"key":23446, "field_id": 0, "kind":{"Insert":[86,59]}},{"key":17972, "field_id": 0, "kind":{"Insert":[58,137]}},{"key":21273, "field_id": 0, "kind":{"Insert":[121,132,81,147]}},{"key":28264, "field_id": 0, "kind":{"Insert":[36]}},{"key":46659, "field_id": 0, "kind":{"Insert":[]}}]
|
||||
// "#;
|
||||
// let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
// let tempdir = TempDir::new().unwrap();
|
||||
// compare_with_trivial_database(Rc::new(tempdir), 2, 1, &operations);
|
||||
// }
|
||||
// }
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn reproduce_bug2() {
|
||||
let operations = r#"
|
||||
[
|
||||
{"key":102, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[122]}},
|
||||
{"key":73, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[132]}},
|
||||
{"key":20, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[215]}},
|
||||
{"key":39, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[152]}},
|
||||
{"key":151, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[226]}},
|
||||
{"key":17, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[101]}},
|
||||
{"key":74, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[210]}},
|
||||
{"key":2, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[130]}},
|
||||
{"key":64, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[180]}},
|
||||
{"key":83, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[250]}},
|
||||
{"key":80, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[210]}},
|
||||
{"key":113, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[63]}},
|
||||
{"key":201, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[210]}},
|
||||
{"key":200, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[5]}},
|
||||
{"key":93, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[98]}},
|
||||
{"key":162, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Insert":[5]}},
|
||||
{"key":80, "field_id": 0, "group_size":4, "max_group_size":8, "min_level_size":5, "kind":{"Delete":210}}
|
||||
]
|
||||
"#;
|
||||
let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
let tempdir = TempDir::new().unwrap();
|
||||
compare_with_trivial_database(Rc::new(tempdir), &operations);
|
||||
}
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn reproduce_bug3() {
|
||||
let operations = r#"
|
||||
[
|
||||
{"key":27488, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[206]}},
|
||||
{"key":64716, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[216]}},
|
||||
{"key":60886, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[206]}},
|
||||
{"key":59509, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[187,231]}},
|
||||
{"key":55057, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[37]}},
|
||||
{"key":45200, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[206]}},
|
||||
{"key":55056, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[37]}},
|
||||
{"key":63679, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[206]}},
|
||||
{"key":52155, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[74]}},
|
||||
{"key":20648, "field_id": 0, "group_size":0, "max_group_size":7, "min_level_size":0, "kind":{"Insert":[47,138,157]}}
|
||||
]
|
||||
"#;
|
||||
let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
let tempdir = TempDir::new().unwrap();
|
||||
compare_with_trivial_database(Rc::new(tempdir), &operations);
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn reproduce_bug4() {
|
||||
let operations = r#"[
|
||||
{"key":63499, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[87]}},
|
||||
{"key":25374, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[14]}},
|
||||
{"key":64481, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Delete":87}},
|
||||
{"key":23038, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[173]}},
|
||||
{"key":14862, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[8]}},
|
||||
{"key":13145, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[5,64]}},
|
||||
{"key":23446, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[86,59]}},
|
||||
{"key":17972, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[58,137]}},
|
||||
{"key":21273, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[121,132,81,147]}},
|
||||
{"key":28264, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[36]}},
|
||||
{"key":46659, "field_id": 0, "group_size":2, "max_group_size":1, "min_level_size":0, "kind":{"Insert":[]}}
|
||||
]
|
||||
"#;
|
||||
let operations: Vec<Operation<u16>> = serde_json::from_str(operations).unwrap();
|
||||
let tempdir = TempDir::new().unwrap();
|
||||
compare_with_trivial_database(Rc::new(tempdir), &operations);
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn reproduce_bug5() {
|
||||
let input = r#"
|
||||
[
|
||||
{
|
||||
"key":3438,
|
||||
"group_size":11,
|
||||
"max_group_size":0,
|
||||
"min_level_size":17,
|
||||
"field_id":3,
|
||||
"kind":{"Insert":[198]}
|
||||
},
|
||||
|
||||
{
|
||||
"key":47098,
|
||||
"group_size":0,
|
||||
"max_group_size":8,
|
||||
"min_level_size":0,
|
||||
"field_id":3,
|
||||
"kind":{"Insert":[11]}
|
||||
},
|
||||
{
|
||||
"key":22453,
|
||||
"group_size":0,
|
||||
"max_group_size":0,
|
||||
"min_level_size":0,
|
||||
"field_id":3,
|
||||
"kind":{"Insert":[145]}
|
||||
},
|
||||
{
|
||||
"key":14105,
|
||||
"group_size":14,
|
||||
"max_group_size":4,
|
||||
"min_level_size":25,
|
||||
"field_id":3,
|
||||
"kind":{"Delete":11}
|
||||
}
|
||||
]
|
||||
"#;
|
||||
let operations: Vec<Operation<u16>> = serde_json::from_str(input).unwrap();
|
||||
let tmpdir = TempDir::new().unwrap();
|
||||
compare_with_trivial_database(Rc::new(tmpdir), &operations);
|
||||
}
|
||||
|
||||
#[test]
|
||||
#[no_coverage]
|
||||
fn reproduce_bug6() {
|
||||
let input = r#"
|
||||
[
|
||||
{"key":45720,"group_size":1,"max_group_size":4,"min_level_size":0,"field_id":0,"kind":{"Insert":[120]}},
|
||||
{"key":37463,"group_size":1,"max_group_size":4,"min_level_size":0,"field_id":0,"kind":{"Insert":[187]}},
|
||||
{"key":21512,"group_size":23,"max_group_size":20,"min_level_size":23,"field_id":0,"kind":{"Insert":[181]}},
|
||||
{"key":21511,"group_size":23,"max_group_size":20,"min_level_size":23,"field_id":0,"kind":{"Insert":[181]}},
|
||||
{"key":37737,"group_size":12,"max_group_size":0,"min_level_size":6,"field_id":0,"kind":{"Insert":[181]}},
|
||||
{"key":53042,"group_size":23,"max_group_size":20,"min_level_size":23,"field_id":0,"kind":{"Insert":[181]}}
|
||||
]
|
||||
"#;
|
||||
let operations: Vec<Operation<u16>> = serde_json::from_str(input).unwrap();
|
||||
let tmpdir = TempDir::new().unwrap();
|
||||
compare_with_trivial_database(Rc::new(tmpdir), &operations);
|
||||
}
|
||||
}
|
||||
|
||||
@ -145,6 +145,7 @@ impl<'i> FacetsUpdate<'i> {
|
||||
|
||||
#[cfg(test)]
|
||||
pub(crate) mod tests {
|
||||
use std::cell::Cell;
|
||||
use std::fmt::Display;
|
||||
use std::marker::PhantomData;
|
||||
use std::rc::Rc;
|
||||
@ -170,9 +171,9 @@ pub(crate) mod tests {
|
||||
{
|
||||
pub env: Env,
|
||||
pub content: heed::Database<FacetGroupKeyCodec<ByteSliceRef>, FacetGroupValueCodec>,
|
||||
pub group_size: u8,
|
||||
pub min_level_size: u8,
|
||||
pub max_group_size: u8,
|
||||
pub group_size: Cell<u8>,
|
||||
pub min_level_size: Cell<u8>,
|
||||
pub max_group_size: Cell<u8>,
|
||||
_tempdir: Rc<tempfile::TempDir>,
|
||||
_phantom: PhantomData<BoundCodec>,
|
||||
}
|
||||
@ -189,9 +190,9 @@ pub(crate) mod tests {
|
||||
max_group_size: u8,
|
||||
min_level_size: u8,
|
||||
) -> FacetIndex<BoundCodec> {
|
||||
let group_size = std::cmp::min(127, std::cmp::max(group_size, 2)); // 2 <= x <= 127
|
||||
let max_group_size = std::cmp::min(127, std::cmp::max(group_size * 2, max_group_size)); // 2*group_size <= x <= 127
|
||||
let min_level_size = std::cmp::max(1, min_level_size); // 1 <= x <= inf
|
||||
let group_size = std::cmp::min(16, std::cmp::max(group_size, 2)); // 2 <= x <= 16
|
||||
let max_group_size = std::cmp::min(16, std::cmp::max(group_size * 2, max_group_size)); // 2*group_size <= x <= 16
|
||||
let min_level_size = std::cmp::min(17, std::cmp::max(1, min_level_size)); // 1 <= x <= 17
|
||||
|
||||
let mut options = heed::EnvOpenOptions::new();
|
||||
let options = options.map_size(4096 * 4 * 10 * 100);
|
||||
@ -202,13 +203,11 @@ pub(crate) mod tests {
|
||||
let content = env.open_database(None).unwrap().unwrap();
|
||||
|
||||
FacetIndex {
|
||||
db: Database {
|
||||
content,
|
||||
group_size,
|
||||
max_group_size,
|
||||
min_level_size,
|
||||
group_size: Cell::new(group_size),
|
||||
max_group_size: Cell::new(max_group_size),
|
||||
min_level_size: Cell::new(min_level_size),
|
||||
_tempdir: tempdir,
|
||||
},
|
||||
env,
|
||||
_phantom: PhantomData,
|
||||
}
|
||||
@ -229,14 +228,32 @@ pub(crate) mod tests {
|
||||
|
||||
FacetIndex {
|
||||
content,
|
||||
group_size,
|
||||
max_group_size,
|
||||
min_level_size,
|
||||
group_size: Cell::new(group_size),
|
||||
max_group_size: Cell::new(max_group_size),
|
||||
min_level_size: Cell::new(min_level_size),
|
||||
_tempdir: Rc::new(tempdir),
|
||||
env,
|
||||
_phantom: PhantomData,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn set_group_size(&self, group_size: u8) {
|
||||
// 2 <= x <= 64
|
||||
self.group_size.set(std::cmp::min(64, std::cmp::max(group_size, 2)));
|
||||
}
|
||||
pub fn set_max_group_size(&self, max_group_size: u8) {
|
||||
// 2*group_size <= x <= 128
|
||||
let max_group_size = std::cmp::max(4, std::cmp::min(128, max_group_size));
|
||||
self.max_group_size.set(max_group_size);
|
||||
if self.group_size.get() < max_group_size / 2 {
|
||||
self.group_size.set(max_group_size / 2);
|
||||
}
|
||||
}
|
||||
pub fn set_min_level_size(&self, min_level_size: u8) {
|
||||
// 1 <= x <= inf
|
||||
self.min_level_size.set(std::cmp::max(1, min_level_size));
|
||||
}
|
||||
|
||||
pub fn insert<'a>(
|
||||
&self,
|
||||
wtxn: &'a mut RwTxn,
|
||||
@ -246,9 +263,9 @@ pub(crate) mod tests {
|
||||
) {
|
||||
let update = FacetsUpdateIncrementalInner {
|
||||
db: self.content,
|
||||
group_size: self.group_size,
|
||||
min_level_size: self.min_level_size,
|
||||
max_group_size: self.max_group_size,
|
||||
group_size: self.group_size.get(),
|
||||
min_level_size: self.min_level_size.get(),
|
||||
max_group_size: self.max_group_size.get(),
|
||||
};
|
||||
let key_bytes = BoundCodec::bytes_encode(&key).unwrap();
|
||||
update.insert(wtxn, field_id, &key_bytes, docids).unwrap();
|
||||
@ -262,9 +279,9 @@ pub(crate) mod tests {
|
||||
) {
|
||||
let update = FacetsUpdateIncrementalInner {
|
||||
db: self.content,
|
||||
group_size: self.group_size,
|
||||
min_level_size: self.min_level_size,
|
||||
max_group_size: self.max_group_size,
|
||||
group_size: self.group_size.get(),
|
||||
min_level_size: self.min_level_size.get(),
|
||||
max_group_size: self.max_group_size.get(),
|
||||
};
|
||||
let key_bytes = BoundCodec::bytes_encode(&key).unwrap();
|
||||
update.delete(wtxn, field_id, &key_bytes, value).unwrap();
|
||||
@ -296,8 +313,8 @@ pub(crate) mod tests {
|
||||
let update = FacetsUpdateBulkInner {
|
||||
db: self.content,
|
||||
new_data: Some(reader),
|
||||
group_size: self.group_size,
|
||||
min_level_size: self.min_level_size,
|
||||
group_size: self.group_size.get(),
|
||||
min_level_size: self.min_level_size.get(),
|
||||
};
|
||||
|
||||
update.update(wtxn, field_ids, |_, _, _| Ok(())).unwrap();
|
||||
@ -341,7 +358,7 @@ pub(crate) mod tests {
|
||||
FacetGroupKeyCodec::<ByteSliceRef>::bytes_decode(&key_bytes).unwrap()
|
||||
};
|
||||
|
||||
assert!(value.size > 0 && value.size < self.max_group_size);
|
||||
assert!(value.size > 0);
|
||||
|
||||
let mut actual_size = 0;
|
||||
let mut values_below = RoaringBitmap::new();
|
||||
|
||||
Loading…
Reference in New Issue
Block a user