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Fix bugs in incremental facet indexing with variable parameters

Browse Source 
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 2022-09-08 11:53:01 +02:00 committed by Loïc Lecrenier
parent de52a9bf75
commit 86d9f50b9c
8 changed files with 435 additions and 271 deletions
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2
.gitignore vendored
View File

@ -2,6 +2,8 @@
/target
/Cargo.lock
milli/target/
# datasets
*.csv
*.mmdb

3
milli/Cargo.toml
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@ -56,6 +56,9 @@ maplit = "1.0.2"
md5 = "0.7.0"
rand = {version = "0.8.5", features = ["small_rng"] }
[target.'cfg(fuzzing)'.dev-dependencies]
fuzzcheck = { path = "../../fuzzcheck-rs/fuzzcheck" }
[features]
default = [ "charabia/default" ]

2
milli/src/lib.rs
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@ -1,3 +1,5 @@
#![cfg_attr(all(test, fuzzing), feature(no_coverage))]
#[macro_use]
pub mod documents;

3
milli/src/search/criteria/asc_desc.rs
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@ -9,8 +9,7 @@ use super::{Criterion, CriterionParameters, CriterionResult};
use crate::facet::FacetType;
use crate::heed_codec::facet::{ByteSliceRef, FacetGroupKeyCodec};
use crate::search::criteria::{resolve_query_tree, CriteriaBuilder};
use crate::search::facet::ascending_facet_sort;
use crate::search::facet::descending_facet_sort;
use crate::search::facet::{ascending_facet_sort, descending_facet_sort};
use crate::search::query_tree::Operation;
use crate::{FieldId, Index, Result};

8
milli/src/search/facet/facet_distribution_iter.rs
View File

@ -1,11 +1,13 @@
use std::ops::ControlFlow;
use heed::Result;
use roaring::RoaringBitmap;
use super::{get_first_facet_value, get_highest_level};
use crate::heed_codec::facet::{
ByteSliceRef, FacetGroupKey, FacetGroupKeyCodec, FacetGroupValueCodec,
};
use crate::DocumentId;
use heed::Result;
use roaring::RoaringBitmap;
use std::ops::ControlFlow;
/// Call the given closure on the facet distribution of the candidate documents.
///

7
milli/src/search/facet/mod.rs
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@ -1,11 +1,12 @@
pub use self::facet_distribution::{FacetDistribution, DEFAULT_VALUES_PER_FACET};
pub use self::filter::Filter;
use crate::heed_codec::facet::{ByteSliceRef, FacetGroupKeyCodec, FacetGroupValueCodec};
pub use facet_sort_ascending::ascending_facet_sort;
pub use facet_sort_descending::descending_facet_sort;
use heed::types::{ByteSlice, DecodeIgnore};
use heed::{BytesDecode, RoTxn};
pub use self::facet_distribution::{FacetDistribution, DEFAULT_VALUES_PER_FACET};
pub use self::filter::Filter;
use crate::heed_codec::facet::{ByteSliceRef, FacetGroupKeyCodec, FacetGroupValueCodec};
mod facet_distribution;
mod facet_distribution_iter;
mod facet_range_search;

614
milli/src/update/facet/incremental.rs
View File

@ -14,6 +14,7 @@ use crate::{CboRoaringBitmapCodec, FieldId, Index, Result};
enum InsertionResult {
InPlace,
Expand,
Insert,
}
enum DeletionResult {
@ -251,6 +252,7 @@ impl FacetsUpdateIncrementalInner {
return Ok(InsertionResult::InPlace);
}
InsertionResult::Expand => {}
InsertionResult::Insert => {}
}
@ -258,7 +260,7 @@ impl FacetsUpdateIncrementalInner {
// of a new key. Therefore, it may be the case that we need to modify the left bound of the
// insertion key (see documentation of `find_insertion_key_value` for an example of when that
// could happen).
let insertion_key = {
let (insertion_key, insertion_key_was_modified) = {
let mut new_insertion_key = insertion_key.clone();
let mut key_should_be_modified = false;
@ -271,7 +273,7 @@ impl FacetsUpdateIncrementalInner {
assert!(is_deleted);
self.db.put(txn, &new_insertion_key.as_ref(), &insertion_value)?;
}
new_insertion_key
(new_insertion_key, key_should_be_modified)
};
// Now we know that the insertion key contains the `facet_value`.
@ -280,20 +282,25 @@ impl FacetsUpdateIncrementalInner {
// 2. Merge the previous docids with the new one
let mut updated_value = insertion_value;
updated_value.size += 1;
if matches!(result, InsertionResult::Insert) {
updated_value.size += 1;
}
if updated_value.size < max_group_size {
updated_value.bitmap |= docids;
self.db.put(txn, &insertion_key.as_ref(), &updated_value)?;
return Ok(InsertionResult::InPlace);
if insertion_key_was_modified {
return Ok(InsertionResult::Expand);
} else {
return Ok(InsertionResult::InPlace);
}
}
// We've increased the group size of the value and realised it has become greater than or equal to `max_group_size`
// Therefore it must be split into two nodes.
let size_left = max_group_size / 2;
let size_right = max_group_size - size_left;
let size_left = updated_value.size / 2;
let size_right = updated_value.size - size_left;
let level_below = level - 1;
@ -303,7 +310,8 @@ impl FacetsUpdateIncrementalInner {
left_bound: insertion_key.left_bound.as_slice(),
};
let mut iter = self.db.range(&txn, &(start_key..))?.take(max_group_size as usize);
let mut iter =
self.db.range(&txn, &(start_key..))?.take((size_left as usize) + (size_right as usize));
let group_left = {
let mut values_left = RoaringBitmap::new();
@ -368,6 +376,7 @@ impl FacetsUpdateIncrementalInner {
self.insert_in_level(txn, field_id, highest_level as u8, facet_value, docids)?;
match result {
InsertionResult::InPlace => return Ok(()),
InsertionResult::Expand => return Ok(()),
InsertionResult::Insert => {}
}
@ -393,8 +402,11 @@ impl FacetsUpdateIncrementalInner {
.as_polymorph()
.prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(&txn, &highest_level_prefix)?;
let nbr_new_groups = size_highest_level / self.group_size as usize;
let nbr_leftover_elements = size_highest_level % self.group_size as usize;
let mut to_add = vec![];
for _ in 0..self.min_level_size {
for _ in 0..nbr_new_groups {
let mut first_key = None;
let mut values = RoaringBitmap::new();
for _ in 0..group_size {
@ -415,6 +427,30 @@ impl FacetsUpdateIncrementalInner {
let value = FacetGroupValue { size: group_size as u8, bitmap: values };
to_add.push((key.into_owned(), value));
}
// now we add the rest of the level, in case its size is > group_size * min_level_size
// this can indeed happen if the min_level_size parameter changes between two calls to `insert`
if nbr_leftover_elements > 0 {
let mut first_key = None;
let mut values = RoaringBitmap::new();
for _ in 0..nbr_leftover_elements {
let (key_bytes, value_i) = groups_iter.next().unwrap()?;
let key_i = FacetGroupKeyCodec::<ByteSliceRef>::bytes_decode(&key_bytes)
.ok_or(Error::Encoding)?;
if first_key.is_none() {
first_key = Some(key_i);
}
values |= value_i.bitmap;
}
let key = FacetGroupKey {
field_id,
level: highest_level + 1,
left_bound: first_key.unwrap().left_bound,
};
let value = FacetGroupValue { size: nbr_leftover_elements as u8, bitmap: values };
to_add.push((key.into_owned(), value));
}
drop(groups_iter);
for (key, value) in to_add {
self.db.put(txn, &key.as_ref(), &value)?;
@ -983,243 +1019,345 @@ mod tests {
// fuzz tests
}
// #[cfg(all(test, fuzzing))]
// mod fuzz {
// use crate::codec::U16Codec;
#[cfg(all(test, fuzzing))]
mod fuzz {
use std::borrow::Cow;
use std::collections::{BTreeMap, HashMap};
use std::convert::TryFrom;
use std::rc::Rc;
// use super::tests::verify_structure_validity;
// use super::*;
// use fuzzcheck::mutators::integer_within_range::U16WithinRangeMutator;
// use fuzzcheck::DefaultMutator;
// use roaring::RoaringBitmap;
// use std::collections::BTreeMap;
// use std::collections::HashMap;
use fuzzcheck::mutators::integer_within_range::{U16WithinRangeMutator, U8WithinRangeMutator};
use fuzzcheck::DefaultMutator;
use heed::BytesEncode;
use roaring::RoaringBitmap;
use tempfile::TempDir;
// #[derive(Default)]
// pub struct TrivialDatabase<T> {
// pub elements: BTreeMap<u16, BTreeMap<T, RoaringBitmap>>,
// }
// impl<T> TrivialDatabase<T>
// where
// T: Ord + Clone + Copy + Eq + std::fmt::Debug,
// {
// pub fn insert(&mut self, field_id: u16, new_key: T, new_values: &RoaringBitmap) {
// if new_values.is_empty() {
// return;
// }
// let values_field_id = self.elements.entry(field_id).or_default();
// let values = values_field_id.entry(new_key).or_default();
// *values |= new_values;
// }
// pub fn delete(&mut self, field_id: u16, key: T, value: u32) {
// if let Some(values_field_id) = self.elements.get_mut(&field_id) {
// if let Some(values) = values_field_id.get_mut(&key) {
// values.remove(value);
// if values.is_empty() {
// values_field_id.remove(&key);
// }
// }
// if values_field_id.is_empty() {
// self.elements.remove(&field_id);
// }
// }
// }
// }
// #[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
// struct Operation<Key> {
// key: Key,
// #[field_mutator(U16WithinRangeMutator = { U16WithinRangeMutator::new(..=3) })]
// field_id: u16,
// kind: OperationKind,
// }
// #[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
// enum OperationKind {
// Insert(Vec<u8>),
// Delete(u8),
// }
use super::*;
use crate::milli_snap;
use crate::update::facet::tests::FacetIndex;
// fn compare_with_trivial_database(
// tempdir: Rc<TempDir>,
// group_size: u8,
// max_group_size: u8,
// operations: &[Operation<u16>],
// ) {
// let index = FacetIndex::<OrderedF64Codec>::open_from_tempdir(tempdir, group_size, max_group_size);
// let mut trivial_db = TrivialDatabase::<u16>::default();
// let mut value_to_keys = HashMap::<u8, Vec<u16>>::new();
// let mut txn = index.env.write_txn().unwrap();
// for Operation { key, field_id, kind } in operations {
// match kind {
// OperationKind::Insert(values) => {
// let mut bitmap = RoaringBitmap::new();
// for value in values {
// bitmap.insert(*value as u32);
// value_to_keys.entry(*value).or_default().push(*key);
// }
// index.insert(&mut txn, *field_id, key, &bitmap);
// trivial_db.insert(*field_id, *key, &bitmap);
// }
// OperationKind::Delete(value) => {
// if let Some(keys) = value_to_keys.get(value) {
// for key in keys {
// index.delete(&mut txn, *field_id, key, *value as u32);
// trivial_db.delete(*field_id, *key, *value as u32);
// }
// }
// }
// }
// }
// for (field_id, values_field_id) in trivial_db.elements.iter() {
// let level0iter = index
// .db
// .content
// .as_polymorph()
// .prefix_iter::<_, ByteSlice, FacetGroupValueCodec>(
// &mut txn,
// &field_id.to_be_bytes(),
// )
// .unwrap();
struct NEU16Codec;
impl<'a> BytesEncode<'a> for NEU16Codec {
type EItem = u16;
#[no_coverage]
fn bytes_encode(item: &'a Self::EItem) -> Option<std::borrow::Cow<'a, [u8]>> {
Some(Cow::Owned(item.to_be_bytes().to_vec()))
}
}
impl<'a> BytesDecode<'a> for NEU16Codec {
type DItem = u16;
#[no_coverage]
fn bytes_decode(bytes: &'a [u8]) -> Option<Self::DItem> {
let bytes = <[u8; 2]>::try_from(&bytes[0..=1]).unwrap();
Some(u16::from_be_bytes(bytes))
}
}
// 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);
// }
// }
#[derive(Default)]
pub struct TrivialDatabase<T> {
pub elements: BTreeMap<u16, BTreeMap<T, RoaringBitmap>>,
}
impl<T> TrivialDatabase<T>
where
T: Ord + Clone + Copy + Eq + std::fmt::Debug,
{
#[no_coverage]
pub fn insert(&mut self, field_id: u16, new_key: T, new_values: &RoaringBitmap) {
if new_values.is_empty() {
return;
}
let values_field_id = self.elements.entry(field_id).or_default();
let values = values_field_id.entry(new_key).or_default();
*values |= new_values;
}
#[no_coverage]
pub fn delete(&mut self, field_id: u16, key: T, value: u32) {
if let Some(values_field_id) = self.elements.get_mut(&field_id) {
if let Some(values) = values_field_id.get_mut(&key) {
values.remove(value);
if values.is_empty() {
values_field_id.remove(&key);
}
}
if values_field_id.is_empty() {
self.elements.remove(&field_id);
}
}
}
}
#[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
struct Operation<Key> {
key: Key,
#[field_mutator(U8WithinRangeMutator = { U8WithinRangeMutator::new(..32) })]
group_size: u8,
#[field_mutator(U8WithinRangeMutator = { U8WithinRangeMutator::new(..32) })]
max_group_size: u8,
#[field_mutator(U8WithinRangeMutator = { U8WithinRangeMutator::new(..32) })]
min_level_size: u8,
#[field_mutator(U16WithinRangeMutator = { U16WithinRangeMutator::new(..=3) })]
field_id: u16,
kind: OperationKind,
}
#[derive(Clone, DefaultMutator, serde::Serialize, serde::Deserialize)]
enum OperationKind {
Insert(Vec<u8>),
Delete(u8),
}
// 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();
#[no_coverage]
fn compare_with_trivial_database(tempdir: Rc<TempDir>, operations: &[Operation<u16>]) {
let index = FacetIndex::<NEU16Codec>::open_from_tempdir(tempdir, 4, 8, 5); // dummy params, they'll be overwritten
// let mut txn = index.env.write_txn().unwrap();
let mut txn = index.env.write_txn().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);
// }
let mut trivial_db = TrivialDatabase::<u16>::default();
let mut value_to_keys = HashMap::<u8, Vec<u16>>::new();
for Operation { key, group_size, max_group_size, min_level_size, field_id, kind } in
operations
{
index.set_group_size(*group_size);
index.set_max_group_size(*max_group_size);
index.set_min_level_size(*min_level_size);
match kind {
OperationKind::Insert(values) => {
let mut bitmap = RoaringBitmap::new();
for value in values {
bitmap.insert(*value as u32);
value_to_keys.entry(*value).or_default().push(*key);
}
index.insert(&mut txn, *field_id, key, &bitmap);
trivial_db.insert(*field_id, *key, &bitmap);
}
OperationKind::Delete(value) => {
if let Some(keys) = value_to_keys.get(value) {
for key in keys {
index.delete(&mut txn, *field_id, key, *value as u32);
trivial_db.delete(*field_id, *key, *value as u32);
}
}
}
}
}
// 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>(
&mut 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);
}
}
// #[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);
// }
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 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);
// }
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_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 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]
#[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]
#[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);
}
}

67
milli/src/update/facet/mod.rs
View File

@ -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,
_tempdir: tempdir,
},
content,
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();