MTree bench improvements (replaces hashbrown with ahash) (#4408)

Cargo.lock

@@ -2493,7 +2493,6 @@ checksum = "e5274423e17b7c9fc20b6e7e208532f9b19825d82dfd615708b70edd83df41f1"
 dependencies = [
  "ahash 0.8.11",
  "allocator-api2",
- "serde",
 ]
 
 [[package]]
@@ -6018,7 +6017,6 @@ dependencies = [
  "fuzzy-matcher",
  "geo 0.27.0",
  "geo-types",
- "hashbrown 0.14.5",
  "hex",
  "indxdb",
  "ipnet",

core/Cargo.toml

@@ -81,7 +81,6 @@ futures = "0.3.29"
 fuzzy-matcher = "0.3.7"
 geo = { version = "0.27.0", features = ["use-serde"] }
 geo-types = { version = "0.7.12", features = ["arbitrary"] }
-hashbrown = { version = "0.14.5", features = ["serde"] }
 hex = { version = "0.4.3" }
 indxdb = { version = "0.5.0", optional = true }
 ipnet = "2.9.0"

core/src/idx/planner/checker.rs

@@ -7,10 +7,10 @@ use crate::idx::planner::iterators::KnnIteratorResult;
 use crate::idx::trees::hnsw::docs::HnswDocs;
 use crate::idx::trees::knn::Ids64;
 use crate::sql::{Cond, Thing, Value};
-use hashbrown::hash_map::Entry;
+use ahash::HashMap;
-use hashbrown::HashMap;
 use reblessive::tree::Stk;
 use std::borrow::Cow;
+use std::collections::hash_map::Entry;
 use std::collections::VecDeque;
 use std::sync::Arc;
 

core/src/idx/planner/knn.rs

@@ -1,5 +1,5 @@
 use crate::sql::{Expression, Number, Thing};
-use hashbrown::{HashMap, HashSet};
+use ahash::{HashMap, HashMapExt, HashSet, HashSetExt};
 use std::collections::btree_map::Entry;
 use std::collections::BTreeMap;
 use std::sync::Arc;
@@ -16,7 +16,7 @@ impl KnnPriorityList {
 	pub(super) fn new(knn: usize) -> Self {
 		Self(Arc::new(Mutex::new(Inner {
 			knn,
-			docs: HashSet::new(),
+			docs: HashSet::with_capacity(knn),
 			priority_list: BTreeMap::default(),
 		})))
 	}

core/src/idx/trees/btree.rs

@@ -5,7 +5,7 @@ use crate::idx::VersionedSerdeState;
 use crate::kvs::{Key, Transaction, Val};
 use crate::sql::{Object, Value};
 #[cfg(debug_assertions)]
-use hashbrown::HashSet;
+use ahash::HashSet;
 use revision::{revisioned, Revisioned};
 use serde::{Deserialize, Serialize};
 use std::collections::VecDeque;
@@ -954,7 +954,7 @@ where
 	) -> Result<BStatistics, Error> {
 		let mut stats = BStatistics::default();
 		#[cfg(debug_assertions)]
-		let mut keys = HashSet::new();
+		let mut keys = HashSet::default();
 		let mut node_queue = VecDeque::new();
 		if let Some(node_id) = self.state.root {
 			node_queue.push_front((node_id, 1));

core/src/idx/trees/dynamicset.rs

@@ -1,4 +1,4 @@
-use hashbrown::HashSet;
+use ahash::{HashSet, HashSetExt};
 use std::fmt::Debug;
 use std::hash::Hash;
 
@@ -126,11 +126,11 @@ where
 #[cfg(test)]
 mod tests {
 	use crate::idx::trees::dynamicset::{ArraySet, DynamicSet, HashBrownSet};
-	use hashbrown::HashSet;
+	use ahash::HashSet;
 
 	fn test_dynamic_set<S: DynamicSet<usize>>(capacity: usize) {
 		let mut dyn_set = S::with_capacity(capacity);
-		let mut control = HashSet::new();
+		let mut control = HashSet::default();
 		// Test insertions
 		for sample in 0..capacity {
 			assert_eq!(dyn_set.len(), control.len(), "{capacity} - {sample}");

core/src/idx/trees/graph.rs

@@ -1,8 +1,8 @@
 use crate::idx::trees::dynamicset::DynamicSet;
-use hashbrown::hash_map::Entry;
+use ahash::HashMap;
-use hashbrown::HashMap;
 #[cfg(test)]
-use hashbrown::HashSet;
+use ahash::HashSet;
+use std::collections::hash_map::Entry;
 use std::fmt::Debug;
 use std::hash::Hash;
 
@@ -24,7 +24,7 @@ where
 	pub(super) fn new(capacity: usize) -> Self {
 		Self {
 			capacity,
-			nodes: HashMap::new(),
+			nodes: HashMap::default(),
 		}
 	}
 

core/src/idx/trees/hnsw/elements.rs

@@ -1,7 +1,7 @@
 use crate::idx::trees::hnsw::ElementId;
 use crate::idx::trees::vector::SharedVector;
 use crate::sql::index::Distance;
-use hashbrown::HashMap;
+use ahash::HashMap;
 
 pub(super) struct HnswElements {
 	elements: HashMap<ElementId, SharedVector>,

core/src/idx/trees/hnsw/index.rs

@@ -10,9 +10,9 @@ use crate::idx::trees::knn::{Ids64, KnnResult, KnnResultBuilder};
 use crate::idx::trees::vector::{SharedVector, Vector};
 use crate::sql::index::{HnswParams, VectorType};
 use crate::sql::{Number, Thing, Value};
-use hashbrown::hash_map::Entry;
+use ahash::HashMap;
-use hashbrown::HashMap;
 use reblessive::tree::Stk;
+use std::collections::hash_map::Entry;
 use std::collections::VecDeque;
 
 pub struct HnswIndex {
@@ -197,7 +197,7 @@ impl HnswIndex {
 		}
 		builder.build(
 			#[cfg(debug_assertions)]
-			HashMap::new(),
+			HashMap::default(),
 		)
 	}
 

core/src/idx/trees/hnsw/layer.rs

@@ -7,7 +7,7 @@ use crate::idx::trees::hnsw::index::HnswCheckedSearchContext;
 use crate::idx::trees::hnsw::{ElementId, HnswElements};
 use crate::idx::trees::knn::DoublePriorityQueue;
 use crate::idx::trees::vector::SharedVector;
-use hashbrown::HashSet;
+use ahash::HashSet;
 use reblessive::tree::Stk;
 
 #[derive(Debug)]
@@ -49,7 +49,7 @@ where
 		ep_id: ElementId,
 		ef: usize,
 	) -> DoublePriorityQueue {
-		let visited = HashSet::from([ep_id]);
+		let visited = HashSet::from_iter([ep_id]);
 		let candidates = DoublePriorityQueue::from(ep_dist, ep_id);
 		let w = candidates.clone();
 		self.search(elements, pt, candidates, visited, w, ef)
@@ -64,7 +64,7 @@ where
 		stk: &mut Stk,
 		chk: &mut HnswConditionChecker<'_>,
 	) -> Result<DoublePriorityQueue, Error> {
-		let visited = HashSet::from([ep_id]);
+		let visited = HashSet::from_iter([ep_id]);
 		let candidates = DoublePriorityQueue::from(ep_dist, ep_id);
 		let mut w = DoublePriorityQueue::default();
 		Self::add_if_truthy(search, &mut w, ep_pt, ep_dist, ep_id, stk, chk).await?;
@@ -89,7 +89,7 @@ where
 		pt: &SharedVector,
 		ep_id: ElementId,
 	) -> Option<(f64, ElementId)> {
-		let visited = HashSet::from([ep_id]);
+		let visited = HashSet::from_iter([ep_id]);
 		let candidates = DoublePriorityQueue::from(0.0, ep_id);
 		let w = candidates.clone();
 		let q = self.search(elements, pt, candidates, visited, w, 1);
@@ -103,7 +103,7 @@ where
 		ep_id: ElementId,
 		efc: usize,
 	) -> DoublePriorityQueue {
-		let visited = HashSet::from([ep_id]);
+		let visited = HashSet::from_iter([ep_id]);
 		let candidates = DoublePriorityQueue::from(0.0, ep_id);
 		let w = DoublePriorityQueue::default();
 		self.search(elements, pt, candidates, visited, w, efc)

core/src/idx/trees/hnsw/mod.rs

@@ -302,10 +302,11 @@ mod tests {
 	use crate::idx::trees::knn::{Ids64, KnnResult, KnnResultBuilder};
 	use crate::idx::trees::vector::{SharedVector, Vector};
 	use crate::sql::index::{Distance, HnswParams, VectorType};
-	use hashbrown::{hash_map::Entry, HashMap, HashSet};
+	use ahash::{HashMap, HashSet};
 	use ndarray::Array1;
 	use reblessive::tree::Stk;
 	use roaring::RoaringTreemap;
+	use std::collections::hash_map::Entry;
 	use std::sync::Arc;
 	use test_log::test;
 
@@ -313,7 +314,7 @@ mod tests {
 		h: &mut HnswFlavor,
 		collection: &TestCollection,
 	) -> HashSet<SharedVector> {
-		let mut set = HashSet::new();
+		let mut set = HashSet::default();
 		for (_, obj) in collection.to_vec_ref() {
 			let obj: SharedVector = obj.clone();
 			h.insert(obj.clone());
@@ -445,7 +446,7 @@ mod tests {
 		h: &mut HnswIndex,
 		collection: &TestCollection,
 	) -> HashMap<SharedVector, HashSet<DocId>> {
-		let mut map: HashMap<SharedVector, HashSet<DocId>> = HashMap::new();
+		let mut map: HashMap<SharedVector, HashSet<DocId>> = HashMap::default();
 		for (doc_id, obj) in collection.to_vec_ref() {
 			let obj: SharedVector = obj.clone();
 			h.insert(obj.clone(), *doc_id);
@@ -454,7 +455,7 @@ mod tests {
 					e.get_mut().insert(*doc_id);
 				}
 				Entry::Vacant(e) => {
-					e.insert(HashSet::from([*doc_id]));
+					e.insert(HashSet::from_iter([*doc_id]));
 				}
 			}
 			h.check_hnsw_properties(map.len());
@@ -726,7 +727,7 @@ mod tests {
 			}
 			b.build(
 				#[cfg(debug_assertions)]
-				HashMap::new(),
+				HashMap::default(),
 			)
 		}
 	}

core/src/idx/trees/knn.rs

@@ -3,8 +3,8 @@ use crate::idx::trees::dynamicset::DynamicSet;
 use crate::idx::trees::hnsw::ElementId;
 use crate::idx::trees::store::NodeId;
 #[cfg(debug_assertions)]
-use hashbrown::HashMap;
+use ahash::HashMap;
-use hashbrown::HashSet;
+use ahash::{HashSet, HashSetExt};
 use roaring::RoaringTreemap;
 use std::cmp::{Ordering, Reverse};
 use std::collections::btree_map::Entry;
@@ -619,10 +619,10 @@ pub(super) mod tests {
 	use crate::sql::index::{Distance, VectorType};
 	use crate::sql::{Array, Number, Value};
 	use crate::syn::Parse;
-	use flate2::read::GzDecoder;
 	#[cfg(debug_assertions)]
-	use hashbrown::HashMap;
+	use ahash::HashMap;
-	use hashbrown::HashSet;
+	use ahash::HashSet;
+	use flate2::read::GzDecoder;
 	use rand::prelude::SmallRng;
 	use rand::{Rng, SeedableRng};
 	use roaring::RoaringTreemap;
@@ -755,7 +755,7 @@ pub(super) mod tests {
 			gen: &RandomItemGenerator,
 			rng: &mut SmallRng,
 		) -> Self {
-			let mut vector_set = HashSet::new();
+			let mut vector_set = HashSet::default();
 			let mut attempts = collection_size * 2;
 			while vector_set.len() < collection_size {
 				vector_set.insert(new_random_vec(rng, vector_type, dimension, gen));
@@ -821,7 +821,7 @@ pub(super) mod tests {
 		b.add(0.2, &Ids64::Vec2([6, 8]));
 		let res = b.build(
 			#[cfg(debug_assertions)]
-			HashMap::new(),
+			HashMap::default(),
 		);
 		assert_eq!(
 			res.docs,

core/src/idx/trees/mtree.rs

@@ -1,10 +1,10 @@
 use crate::ctx::Context;
-use hashbrown::hash_map::Entry;
+use ahash::{HashMap, HashMapExt, HashSet};
-use hashbrown::{HashMap, HashSet};
 use reblessive::tree::Stk;
 use revision::revisioned;
 use roaring::RoaringTreemap;
 use serde::{Deserialize, Serialize};
+use std::collections::hash_map::Entry;
 use std::collections::{BinaryHeap, VecDeque};
 use std::fmt::{Debug, Display, Formatter};
 use std::io::Cursor;
@@ -217,7 +217,7 @@ impl MTree {
 			queue.push(PriorityNode::new(0.0, root_id));
 		}
 		#[cfg(debug_assertions)]
-		let mut visited_nodes = HashMap::new();
+		let mut visited_nodes = HashMap::default();
 		while let Some(e) = queue.pop() {
 			let id = e.id();
 			let node = search.store.get_node_txn(search.ctx, id).await?;
@@ -330,7 +330,7 @@ impl MTree {
 	) -> Result<(), Error> {
 		let new_root_id = self.new_node_id();
 		let p = ObjectProperties::new_root(id);
-		let mut objects = LeafMap::new();
+		let mut objects = LeafMap::with_capacity(1);
 		objects.insert(obj, p);
 		let new_root_node = store.new_node(new_root_id, MTreeNode::Leaf(objects))?;
 		store.set_node(new_root_node, true).await?;
@@ -1486,7 +1486,7 @@ mod tests {
 	use crate::kvs::Transaction;
 	use crate::kvs::{Datastore, TransactionType};
 	use crate::sql::index::{Distance, VectorType};
-	use hashbrown::{HashMap, HashSet};
+	use ahash::{HashMap, HashMapExt, HashSet};
 	use reblessive::tree::Stk;
 	use std::collections::VecDeque;
 	use test_log::test;
@@ -2080,13 +2080,13 @@ mod tests {
 		t: &MTree,
 	) -> Result<CheckedProperties, Error> {
 		debug!("CheckTreeProperties");
-		let mut node_ids = HashSet::new();
+		let mut node_ids = HashSet::default();
 		let mut checks = CheckedProperties::default();
 		let mut nodes: VecDeque<(NodeId, f64, Option<SharedVector>, usize)> = VecDeque::new();
 		if let Some(root_id) = t.state.root {
 			nodes.push_back((root_id, 0.0, None, 1));
 		}
-		let mut leaf_objects = HashSet::new();
+		let mut leaf_objects = HashSet::default();
 		while let Some((node_id, radius, center, depth)) = nodes.pop_front() {
 			assert!(node_ids.insert(node_id), "Node already exist: {}", node_id);
 			checks.node_count += 1;

core/src/idx/trees/store/cache.rs

@@ -2,9 +2,9 @@ use crate::err::Error;
 use crate::idx::trees::store::lru::{CacheKey, ConcurrentLru};
 use crate::idx::trees::store::{NodeId, StoreGeneration, StoredNode, TreeNode, TreeNodeProvider};
 use crate::kvs::{Key, Transaction};
+use ahash::{HashMap, HashSet};
 use dashmap::mapref::entry::Entry;
 use dashmap::DashMap;
-use hashbrown::{HashMap, HashSet};
 use std::cmp::Ordering;
 use std::fmt::{Debug, Display};
 use std::sync::Arc;
@@ -117,7 +117,7 @@ where
 		if cache_size == 0 {
 			Self::Full(cache_key, generation, TreeFullCache::new(keys))
 		} else {
-			Self::Lru(cache_key, generation, TreeLruCache::new(keys, cache_size))
+			Self::Lru(cache_key, generation, TreeLruCache::with_capacity(keys, cache_size))
 		}
 	}
 
@@ -198,8 +198,8 @@ impl<N> TreeLruCache<N>
 where
 	N: TreeNode + Debug + Clone,
 {
-	fn new(keys: TreeNodeProvider, size: usize) -> Self {
+	fn with_capacity(keys: TreeNodeProvider, size: usize) -> Self {
-		let lru = ConcurrentLru::new(size);
+		let lru = ConcurrentLru::with_capacity(size);
 		Self {
 			keys,
 			lru,

core/src/idx/trees/store/lru.rs

@@ -1,5 +1,5 @@
+use ahash::{HashMap, HashMapExt};
 use futures::future::join_all;
-use hashbrown::HashMap;
 use std::sync::atomic::Ordering::Relaxed;
 use std::sync::atomic::{AtomicBool, AtomicUsize};
 use tokio::sync::Mutex;
@@ -26,8 +26,9 @@ impl<V> ConcurrentLru<V>
 where
 	V: Clone,
 {
-	pub(super) fn new(capacity: usize) -> Self {
+	pub(super) fn with_capacity(capacity: usize) -> Self {
-		let shards_count = num_cpus::get().min(capacity);
+		// slightly more than the number of CPU cores
+		let shards_count = (num_cpus::get() * 4 / 3).min(capacity);
 		let mut shards = Vec::with_capacity(shards_count);
 		let mut lengths = Vec::with_capacity(shards_count);
 		for _ in 0..shards_count {
@@ -47,10 +48,7 @@ where
 		// Locate the shard
 		let n = key as usize % self.shards_count;
 		// Get and promote the key
-		let mut shard = self.shards[n].lock().await;
+		self.shards[n].lock().await.get_and_promote(key)
-		let v = shard.get_and_promote(key);
-		drop(shard);
-		v
 	}
 
 	pub(super) async fn insert<K: Into<CacheKey>>(&self, key: K, val: V) {
@@ -58,9 +56,7 @@ where
 		// Locate the shard
 		let shard = key as usize % self.shards_count;
 		// Insert the key/object in the shard and get the new length
-		let mut s = self.shards[shard].lock().await;
+		let new_length = self.shards[shard].lock().await.insert(key, val, self.full.load(Relaxed));
-		let new_length = s.insert(key, val, self.full.load(Relaxed));
-		drop(s);
 		// Update lengths
 		self.check_length(new_length, shard);
 	}
@@ -70,9 +66,7 @@ where
 		// Locate the shard
 		let shard = key as usize % self.shards_count;
 		// Remove the key
-		let mut s = self.shards[shard].lock().await;
+		let new_length = self.shards[shard].lock().await.remove(key);
-		let new_length = s.remove(key);
-		drop(s);
 		// Update lengths
 		self.check_length(new_length, shard);
 	}
@@ -101,9 +95,7 @@ where
 			.shards
 			.iter()
 			.map(|s| async {
-				let s = s.lock().await;
+				let shard = s.lock().await.duplicate(filter);
-				let shard = s.duplicate(filter);
-				drop(s);
 				(shard.map.len(), Mutex::new(shard))
 			})
 			.collect();
@@ -139,7 +131,7 @@ where
 {
 	fn new() -> Self {
 		Self {
-			map: HashMap::new(),
+			map: HashMap::default(),
 			vec: Vec::new(),
 		}
 	}
@@ -242,7 +234,7 @@ mod tests {
 
 	#[test(tokio::test)]
 	async fn test_minimal_tree_lru() {
-		let lru = ConcurrentLru::new(1);
+		let lru = ConcurrentLru::with_capacity(1);
 		assert_eq!(lru.len(), 0);
 		//
 		lru.insert(1u64, 'a').await;
@@ -270,7 +262,7 @@ mod tests {
 
 	#[test(tokio::test)]
 	async fn test_tree_lru() {
-		let lru = ConcurrentLru::new(4);
+		let lru = ConcurrentLru::with_capacity(4);
 		//
 		lru.insert(1u64, 'a').await;
 		lru.insert(2u64, 'b').await;
@@ -302,7 +294,7 @@ mod tests {
 	#[test(tokio::test(flavor = "multi_thread"))]
 	async fn concurrent_lru_test() {
 		let num_threads = 4;
-		let lru = ConcurrentLru::new(100);
+		let lru = ConcurrentLru::with_capacity(100);
 
 		let futures: Vec<_> = (0..num_threads)
 			.map(|_| async {

core/src/idx/trees/store/tree.rs

@@ -2,7 +2,7 @@ use crate::err::Error;
 use crate::idx::trees::store::cache::TreeCache;
 use crate::idx::trees::store::{NodeId, StoredNode, TreeNode, TreeNodeProvider};
 use crate::kvs::{Key, Transaction};
-use hashbrown::{HashMap, HashSet};
+use ahash::{HashMap, HashSet};
 use std::fmt::{Debug, Display};
 use std::mem;
 use std::sync::Arc;
@@ -30,12 +30,12 @@ where
 		Self {
 			np,
 			cache,
-			cached: HashSet::new(),
+			cached: Default::default(),
-			nodes: HashMap::new(),
+			nodes: Default::default(),
-			updated: HashSet::new(),
+			updated: Default::default(),
-			removed: HashMap::new(),
+			removed: Default::default(),
 			#[cfg(debug_assertions)]
-			out: HashSet::new(),
+			out: Default::default(),
 		}
 	}
 

core/src/idx/trees/vector.rs

@@ -3,7 +3,7 @@ use crate::fnc::util::math::ToFloat;
 use crate::sql::index::{Distance, VectorType};
 use crate::sql::{Number, Value};
 use ahash::AHasher;
-use hashbrown::HashSet;
+use ahash::HashSet;
 use linfa_linalg::norm::Norm;
 use ndarray::{Array1, LinalgScalar, Zip};
 use ndarray_stats::DeviationExt;

lib/benches/index_mtree.rs

@@ -1,6 +1,7 @@
 use criterion::measurement::WallTime;
 use criterion::{criterion_group, criterion_main, BenchmarkGroup, Criterion, Throughput};
 use futures::executor::block_on;
+use futures::future::join_all;
 use rand::rngs::StdRng;
 use rand::{Rng, SeedableRng};
 use reblessive::TreeStack;
@@ -19,36 +20,26 @@ use surrealdb_core::sql::{Id, Number, Thing, Value};
 use tokio::runtime::{Builder, Runtime};
 use tokio::task;
 
-fn bench_index_mtree_dim_3(c: &mut Criterion) {
+fn bench_index_mtree_combinations(c: &mut Criterion) {
-	bench_index_mtree(c, 250, 2500, 3, 100);
+	for (samples, dimension, cache) in [
+		(2500, 3, 100),
+		(2500, 3, 2500),
+		(2500, 3, 0),
+		(1000, 50, 100),
+		(1000, 50, 1000),
+		(1000, 50, 0),
+		(500, 300, 100),
+		(500, 300, 500),
+		(500, 300, 0),
+		(250, 1024, 75),
+		(250, 1024, 250),
+		(250, 1024, 0),
+		(100, 2048, 50),
+		(100, 2048, 100),
+		(100, 2048, 0),
+	] {
+		bench_index_mtree(c, samples, dimension, cache);
 	}
-
-fn bench_index_mtree_dim_3_full_cache(c: &mut Criterion) {
-	bench_index_mtree(c, 250, 2500, 3, 0);
-}
-
-fn bench_index_mtree_dim_50(c: &mut Criterion) {
-	bench_index_mtree(c, 100, 1000, 50, 100);
-}
-
-fn bench_index_mtree_dim_50_full_cache(c: &mut Criterion) {
-	bench_index_mtree(c, 100, 1000, 50, 0);
-}
-
-fn bench_index_mtree_dim_300(c: &mut Criterion) {
-	bench_index_mtree(c, 50, 500, 300, 100);
-}
-
-fn bench_index_mtree_dim_300_full_cache(c: &mut Criterion) {
-	bench_index_mtree(c, 50, 500, 300, 0);
-}
-
-fn bench_index_mtree_dim_2048(c: &mut Criterion) {
-	bench_index_mtree(c, 10, 100, 2048, 100);
-}
-
-fn bench_index_mtree_dim_2048_full_cache(c: &mut Criterion) {
-	bench_index_mtree(c, 10, 100, 2048, 0);
 }
 
 async fn mtree_index(
@@ -76,15 +67,14 @@ fn runtime() -> Runtime {
 
 fn bench_index_mtree(
 	c: &mut Criterion,
-	debug_samples_len: usize,
+	samples_len: usize,
-	release_samples_len: usize,
 	vector_dimension: usize,
 	cache_size: usize,
 ) {
 	let samples_len = if cfg!(debug_assertions) {
-		debug_samples_len // Debug is slow
+		samples_len / 10 // Debug is slow
 	} else {
-		release_samples_len // Release is fast
+		samples_len // Release is fast
 	};
 
 	// Both benchmark groups are sharing the same datastore
@@ -111,7 +101,7 @@ fn bench_index_mtree(
 			);
 			group.bench_function(id, |b| {
 				b.to_async(runtime()).iter(|| {
-					knn_lookup_objects(&ds, samples_len, vector_dimension, cache_size, knn)
+					knn_lookup_objects(&ds, samples_len / 5, vector_dimension, cache_size, knn)
 				});
 			});
 		}
@@ -180,39 +170,25 @@ async fn knn_lookup_objects(
 		let (ctx, mt, counter) = (ctx.clone(), mt.clone(), counter.clone());
 		let c = task::spawn(async move {
 			let mut rng = StdRng::from_entropy();
-			while counter.fetch_add(1, Ordering::Relaxed) < samples_size {
-				let object = random_object(&mut rng, vector_size);
-				knn_lookup_object(mt.as_ref(), &ctx, object, knn).await;
-			}
-		});
-		consumers.push(c);
-	}
-	for c in consumers {
-		c.await.unwrap();
-	}
-}
-
-async fn knn_lookup_object(mt: &MTreeIndex, ctx: &Context<'_>, object: Vec<Number>, knn: usize) {
 			let mut stack = TreeStack::new();
 			stack
 				.enter(|stk| async {
-			let chk = MTreeConditionChecker::new(ctx);
+					while counter.fetch_add(1, Ordering::Relaxed) < samples_size {
-			let r = mt.knn_search(stk, ctx, &object, knn, chk).await.unwrap();
+						let object = random_object(&mut rng, vector_size);
+						let chk = MTreeConditionChecker::new(ctx.as_ref());
+						let r = mt.knn_search(stk, ctx.as_ref(), &object, knn, chk).await.unwrap();
 						assert_eq!(r.len(), knn);
+					}
 				})
 				.finish()
 				.await;
+		});
+		consumers.push(c);
+	}
+	for c in join_all(consumers).await {
+		c.unwrap();
+	}
 }
 
-criterion_group!(
+criterion_group!(benches, bench_index_mtree_combinations);
-	benches,
-	bench_index_mtree_dim_3,
-	bench_index_mtree_dim_3_full_cache,
-	bench_index_mtree_dim_50,
-	bench_index_mtree_dim_50_full_cache,
-	bench_index_mtree_dim_300,
-	bench_index_mtree_dim_300_full_cache,
-	bench_index_mtree_dim_2048,
-	bench_index_mtree_dim_2048_full_cache
-);
 criterion_main!(benches);