surrealdb-core 3.2.0

A scalable, distributed, collaborative, document-graph database, for the realtime web
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
//! In-memory cache for KV-backed DiskANN graph data.
//!
//! DiskANN search repeatedly touches a small working set of graph state, element vectors, and
//! adjacency lists. The persisted KV layout remains the source of truth, while this cache reduces
//! point-read latency and lets the provider batch only the entries that missed in memory.

use std::sync::Arc;

use quick_cache::Weighter;
use quick_cache::sync::Cache;

use crate::catalog::{DatabaseId, IndexId, NamespaceId, TableId};
use crate::idx::seqdocids::DocId;
use crate::idx::trees::diskann::{DiskAnnElement, DiskAnnNode, DiskAnnState, ElementId};
use crate::idx::trees::knn::Ids64;
use crate::idx::trees::vector::SerializedVector;
use crate::val::RecordIdKey;

type IndexKey = (NamespaceId, DatabaseId, TableId, IndexId);
type ElementCacheKey = (NamespaceId, DatabaseId, TableId, IndexId, ElementId);
type NodeCacheKey = ElementCacheKey;
type DocSetCacheKey = ElementCacheKey;
type DocIdCacheKey = (NamespaceId, DatabaseId, TableId, IndexId, DocId);

#[derive(Clone)]
struct CachedDocId {
	/// Pending generation observed when this doc-id mapping was read from KV.
	generation: Option<u64>,
	/// Record key stored under the `!dd` document-id mapping.
	id: Arc<RecordIdKey>,
}

#[derive(Clone, Eq, Hash, PartialEq)]
enum DiskAnnCacheKey {
	Element(ElementCacheKey),
	Node(NodeCacheKey),
	DocSet(DocSetCacheKey),
	DocId(DocIdCacheKey),
	State(IndexKey),
}

#[derive(Clone)]
enum DiskAnnCacheValue {
	Element(Arc<DiskAnnElement>),
	Node(Arc<DiskAnnNode>),
	DocSet(Ids64),
	DocId(CachedDocId),
	State(DiskAnnState),
}

#[derive(Clone)]
struct DiskAnnCacheWeighter;

impl Weighter<DiskAnnCacheKey, DiskAnnCacheValue> for DiskAnnCacheWeighter {
	fn weight(&self, key: &DiskAnnCacheKey, val: &DiskAnnCacheValue) -> u64 {
		match (key, val) {
			(DiskAnnCacheKey::Element(key), DiskAnnCacheValue::Element(val)) => {
				(serialized_vector_size(&val.vector)
					+ std::mem::size_of_val(&val.deleted)
					+ std::mem::size_of::<Arc<DiskAnnElement>>()
					+ std::mem::size_of_val(key)) as u64
			}
			(DiskAnnCacheKey::Node(key), DiskAnnCacheValue::Node(val)) => {
				(val.neighbors.len() * std::mem::size_of::<ElementId>()
					+ std::mem::size_of::<Arc<DiskAnnNode>>()
					+ std::mem::size_of_val(key)) as u64
			}
			(DiskAnnCacheKey::DocSet(key), DiskAnnCacheValue::DocSet(val)) => {
				(val.iter().count() * std::mem::size_of::<u64>() + std::mem::size_of_val(key))
					as u64
			}
			(DiskAnnCacheKey::DocId(key), DiskAnnCacheValue::DocId(val)) => {
				(std::mem::size_of_val(key)
					+ std::mem::size_of_val(&val.generation)
					+ std::mem::size_of::<Arc<RecordIdKey>>()
					+ std::mem::size_of_val(val.id.as_ref())) as u64
			}
			(DiskAnnCacheKey::State(key), DiskAnnCacheValue::State(val)) => {
				(std::mem::size_of_val(key) + std::mem::size_of_val(val)) as u64
			}
			_ => unreachable!("mismatched DiskANN cache key/value"),
		}
	}
}

/// Shared weighted cache for one process' DiskANN graph data.
///
/// The cache is scoped by namespace, database, table, and index id. Element vectors (`De` keys),
/// adjacency lists (`Dn` keys), graph state (`Ds` key), and document mappings share one weighted
/// budget keyed by the composite (`namespace`, `database`, `table`, `index`, `id`) tuples; index
/// removal walks every shard with [`Cache::retain`] because per-key membership trackers cannot be
/// kept reliably in sync with quick_cache's hot/cold/ghost eviction (see #7318).
#[derive(Clone)]
pub(crate) struct DiskAnnCache(Arc<Inner>);

struct Inner {
	/// Shared weighted budget for all DiskANN cache families.
	cache: Cache<DiskAnnCacheKey, DiskAnnCacheValue, DiskAnnCacheWeighter>,
}

impl DiskAnnCache {
	/// Creates a DiskANN ANN cache with one shared weight capacity (in bytes).
	pub(crate) fn new(cache_size: u64) -> Self {
		let estimated_items = (cache_size / 256).max(1) as usize;
		Self(Arc::new(Inner {
			cache: Cache::with_weighter(estimated_items, cache_size, DiskAnnCacheWeighter),
		}))
	}

	fn index_key(
		namespace_id: NamespaceId,
		database_id: DatabaseId,
		table_id: TableId,
		index_id: IndexId,
	) -> IndexKey {
		(namespace_id, database_id, table_id, index_id)
	}

	fn element_key(index: IndexKey, element_id: ElementId) -> ElementCacheKey {
		(index.0, index.1, index.2, index.3, element_id)
	}

	fn doc_id_key(index: IndexKey, doc_id: DocId) -> DocIdCacheKey {
		(index.0, index.1, index.2, index.3, doc_id)
	}

	/// Returns cached graph state for one index.
	pub(super) fn get_state(&self, index: IndexKey) -> Option<DiskAnnState> {
		match self.0.cache.get(&DiskAnnCacheKey::State(index)) {
			Some(DiskAnnCacheValue::State(state)) => Some(state),
			_ => None,
		}
	}

	/// Inserts or replaces cached graph state for one index.
	pub(super) fn insert_state(&self, index: IndexKey, state: DiskAnnState) {
		self.0.cache.insert(DiskAnnCacheKey::State(index), DiskAnnCacheValue::State(state));
	}

	/// Returns a shared cached graph element payload.
	pub(super) fn get_element(
		&self,
		index: IndexKey,
		element_id: ElementId,
	) -> Option<Arc<DiskAnnElement>> {
		match self.0.cache.get(&DiskAnnCacheKey::Element(Self::element_key(index, element_id))) {
			Some(DiskAnnCacheValue::Element(element)) => Some(element),
			_ => None,
		}
	}

	/// Inserts a persisted graph element and returns the shared cached payload.
	pub(super) fn insert_element(
		&self,
		index: IndexKey,
		element_id: ElementId,
		element: DiskAnnElement,
	) -> Arc<DiskAnnElement> {
		let element = Arc::new(element);
		self.0.cache.insert(
			DiskAnnCacheKey::Element(Self::element_key(index, element_id)),
			DiskAnnCacheValue::Element(Arc::clone(&element)),
		);
		element
	}

	/// Evicts one graph element from the cache.
	pub(super) fn remove_element(&self, index: IndexKey, element_id: ElementId) {
		self.0.cache.remove(&DiskAnnCacheKey::Element(Self::element_key(index, element_id)));
	}

	/// Returns a shared cached adjacency-list payload.
	pub(super) fn get_node(
		&self,
		index: IndexKey,
		element_id: ElementId,
	) -> Option<Arc<DiskAnnNode>> {
		match self.0.cache.get(&DiskAnnCacheKey::Node(Self::element_key(index, element_id))) {
			Some(DiskAnnCacheValue::Node(node)) => Some(node),
			_ => None,
		}
	}

	/// Inserts a persisted adjacency list and returns the shared cached payload.
	pub(super) fn insert_node(
		&self,
		index: IndexKey,
		element_id: ElementId,
		node: DiskAnnNode,
	) -> Arc<DiskAnnNode> {
		let node = Arc::new(node);
		self.0.cache.insert(
			DiskAnnCacheKey::Node(Self::element_key(index, element_id)),
			DiskAnnCacheValue::Node(Arc::clone(&node)),
		);
		node
	}

	#[cfg(test)]
	fn remove_node(&self, index: IndexKey, element_id: ElementId) {
		self.0.cache.remove(&DiskAnnCacheKey::Node(Self::element_key(index, element_id)));
	}

	/// Returns a cached set of compact document IDs for one graph element.
	pub(super) fn get_doc_set(&self, index: IndexKey, element_id: ElementId) -> Option<Ids64> {
		match self.0.cache.get(&DiskAnnCacheKey::DocSet(Self::element_key(index, element_id))) {
			Some(DiskAnnCacheValue::DocSet(docs)) => Some(docs),
			_ => None,
		}
	}

	/// Inserts the compact document IDs represented by one graph element.
	pub(super) fn insert_doc_set(&self, index: IndexKey, element_id: ElementId, docs: Ids64) {
		self.0.cache.insert(
			DiskAnnCacheKey::DocSet(Self::element_key(index, element_id)),
			DiskAnnCacheValue::DocSet(docs),
		);
	}

	/// Evicts the cached document set for one graph element.
	pub(super) fn remove_doc_set(&self, index: IndexKey, element_id: ElementId) {
		self.0.cache.remove(&DiskAnnCacheKey::DocSet(Self::element_key(index, element_id)));
	}

	/// Returns a cached record key for a compact document ID if the generation still matches.
	pub(super) fn get_doc_id(
		&self,
		index: IndexKey,
		doc_id: DocId,
		generation: Option<u64>,
	) -> Option<Arc<RecordIdKey>> {
		let cached =
			match self.0.cache.get(&DiskAnnCacheKey::DocId(Self::doc_id_key(index, doc_id)))? {
				DiskAnnCacheValue::DocId(cached) => cached,
				_ => return None,
			};
		(cached.generation == generation).then_some(cached.id)
	}

	/// Inserts a compact document ID to record-key mapping read from KV.
	pub(super) fn insert_doc_id(
		&self,
		index: IndexKey,
		doc_id: DocId,
		generation: Option<u64>,
		id: RecordIdKey,
	) -> Arc<RecordIdKey> {
		let id = Arc::new(id);
		self.0.cache.insert(
			DiskAnnCacheKey::DocId(Self::doc_id_key(index, doc_id)),
			DiskAnnCacheValue::DocId(CachedDocId {
				generation,
				id: Arc::clone(&id),
			}),
		);
		id
	}

	/// Evicts a cached compact document ID mapping.
	pub(super) fn remove_doc_id(&self, index: IndexKey, doc_id: DocId) {
		self.0.cache.remove(&DiskAnnCacheKey::DocId(Self::doc_id_key(index, doc_id)));
	}

	/// Evicts every cache family entry scoped to one removed DiskANN index.
	///
	/// `Cache::retain` walks every shard of the shared cache. The DiskANN cache is shared across
	/// all indices in the process, so this is the only sound way to guarantee no stale adjacency
	/// or vector entry survives a failed-compaction cleanup or an index drop. The cost is
	/// proportional to the total resident cache, which is fine because this path runs only on
	/// rare events (commit failure under #7318's race + `REMOVE INDEX` + index retirement).
	///
	/// This is the failure-side half of the
	/// [cache coherency invariant](crate::idx::trees::diskann::provider) — writable-tx cache
	/// write-throughs are sound only because this path clears them on apply/commit failure.
	pub(crate) async fn remove_index(
		&self,
		namespace_id: NamespaceId,
		database_id: DatabaseId,
		table_id: TableId,
		index_id: IndexId,
	) {
		let index = Self::index_key(namespace_id, database_id, table_id, index_id);
		self.0.cache.retain(|key, _| match key {
			DiskAnnCacheKey::State(k) => *k != index,
			DiskAnnCacheKey::Element(k) => (k.0, k.1, k.2, k.3) != index,
			DiskAnnCacheKey::Node(k) => (k.0, k.1, k.2, k.3) != index,
			DiskAnnCacheKey::DocSet(k) => (k.0, k.1, k.2, k.3) != index,
			DiskAnnCacheKey::DocId(k) => (k.0, k.1, k.2, k.3) != index,
		});
		yield_now!();
	}

	#[cfg(test)]
	pub(super) fn weight(&self) -> u64 {
		self.0.cache.weight()
	}

	#[cfg(test)]
	fn capacity(&self) -> u64 {
		self.0.cache.capacity()
	}
}

fn serialized_vector_size(vector: &SerializedVector) -> usize {
	match vector {
		SerializedVector::F64(values) => values.len() * std::mem::size_of::<f64>(),
		SerializedVector::F32(values) => values.len() * std::mem::size_of::<f32>(),
		SerializedVector::I64(values) => values.len() * std::mem::size_of::<i64>(),
		SerializedVector::I32(values) => values.len() * std::mem::size_of::<i32>(),
		SerializedVector::I16(values) => values.len() * std::mem::size_of::<i16>(),
		SerializedVector::F16(values) => values.len() * std::mem::size_of::<u16>(),
		SerializedVector::I8(values) => values.len() * std::mem::size_of::<i8>(),
		SerializedVector::U8(values) => values.len() * std::mem::size_of::<u8>(),
	}
}

#[cfg(test)]
mod tests {
	use super::*;
	use crate::catalog::{DatabaseId, IndexId, NamespaceId, TableId};
	use crate::idx::trees::vector::SerializedVector;

	fn index() -> IndexKey {
		(NamespaceId(1), DatabaseId(2), TableId(3), IndexId(4))
	}

	#[tokio::test]
	async fn diskann_cache_families_share_one_capacity() {
		let cache = DiskAnnCache::new(1024);
		let index = index();

		cache.insert_state(
			index,
			DiskAnnState {
				enter_point: Some(7),
				next_element_id: 10,
			},
		);
		cache.insert_element(
			index,
			7,
			DiskAnnElement {
				vector: SerializedVector::F32(vec![1.0, 2.0, 3.0, 4.0]),
				deleted: false,
			},
		);
		cache.insert_node(
			index,
			7,
			DiskAnnNode {
				neighbors: vec![8, 9],
			},
		);
		cache.insert_doc_set(index, 7, Ids64::Vec2([11, 12]));
		cache.insert_doc_id(index, 11, Some(1), RecordIdKey::Number(99));

		assert_eq!(cache.capacity(), 1024);
		assert!(cache.weight() > 0);
		assert!(cache.weight() <= cache.capacity());
	}

	#[tokio::test]
	async fn diskann_cache_tracks_and_evicts_per_index() {
		let cache = DiskAnnCache::new(1024 * 1024);
		let index = index();
		let element = DiskAnnElement {
			vector: SerializedVector::F32(vec![1.0, 2.0]),
			deleted: false,
		};
		let node = DiskAnnNode {
			neighbors: vec![8, 9],
		};
		let state = DiskAnnState {
			enter_point: Some(7),
			next_element_id: 10,
		};

		cache.insert_state(index, state.clone());
		cache.insert_element(index, 7, element.clone());
		cache.insert_node(index, 7, node.clone());
		cache.insert_doc_set(index, 7, Ids64::One(11));
		cache.insert_doc_id(index, 11, Some(5), RecordIdKey::Number(17));

		assert_eq!(cache.get_state(index).unwrap().enter_point, state.enter_point);
		let first_element = cache.get_element(index, 7).unwrap();
		let second_element = cache.get_element(index, 7).unwrap();
		let first_node = cache.get_node(index, 7).unwrap();
		let second_node = cache.get_node(index, 7).unwrap();
		assert_eq!(first_element.vector, element.vector);
		assert_eq!(first_node.neighbors, node.neighbors);
		assert!(Arc::ptr_eq(&first_element, &second_element));
		assert!(Arc::ptr_eq(&first_node, &second_node));
		assert_eq!(cache.get_doc_set(index, 7), Some(Ids64::One(11)));
		assert_eq!(
			cache.get_doc_id(index, 11, Some(5)).unwrap().as_ref(),
			&RecordIdKey::Number(17)
		);
		assert!(cache.get_doc_id(index, 11, Some(6)).is_none());

		cache.remove_index(index.0, index.1, index.2, index.3).await;

		assert!(cache.get_state(index).is_none());
		assert!(cache.get_element(index, 7).is_none());
		assert!(cache.get_node(index, 7).is_none());
		assert!(cache.get_doc_set(index, 7).is_none());
		assert!(cache.get_doc_id(index, 11, Some(5)).is_none());
	}

	#[test]
	fn diskann_cache_invalidates_single_element_node_and_doc_set() {
		let cache = DiskAnnCache::new(1024 * 1024);
		let index = index();
		cache.insert_element(
			index,
			7,
			DiskAnnElement {
				vector: SerializedVector::U8(vec![1, 2, 3]),
				deleted: false,
			},
		);
		cache.insert_node(
			index,
			7,
			DiskAnnNode {
				neighbors: vec![1, 2],
			},
		);
		cache.insert_doc_set(index, 7, Ids64::One(42));
		cache.insert_doc_id(index, 42, Some(5), RecordIdKey::Number(7));
		assert!(cache.get_doc_id(index, 42, Some(4)).is_none());
		assert_eq!(cache.get_doc_id(index, 42, Some(5)).unwrap().as_ref(), &RecordIdKey::Number(7));

		cache.remove_element(index, 7);
		cache.remove_node(index, 7);
		cache.remove_doc_set(index, 7);
		cache.remove_doc_id(index, 42);

		assert!(cache.get_element(index, 7).is_none());
		assert!(cache.get_node(index, 7).is_none());
		assert!(cache.get_doc_set(index, 7).is_none());
		assert!(cache.get_doc_id(index, 42, Some(5)).is_none());
	}
}