|
21 | 21 | TTLConfig, |
22 | 22 | ) |
23 | 23 | from redis import Redis |
24 | | -from redis.cluster import RedisCluster |
| 24 | +from redis.cluster import RedisCluster as SyncRedisCluster |
25 | 25 | from redis.commands.search.query import Query |
26 | | -from redis.exceptions import ResponseError |
27 | 26 | from redisvl.index import SearchIndex |
28 | 27 | from redisvl.query import FilterQuery, VectorQuery |
29 | 28 | from redisvl.redis.connection import RedisConnectionFactory |
@@ -162,9 +161,6 @@ def _detect_cluster_mode(self) -> None: |
162 | 161 | ) |
163 | 162 | return |
164 | 163 |
|
165 | | - # Check if client is a Redis Cluster instance |
166 | | - from redis.cluster import RedisCluster as SyncRedisCluster |
167 | | - |
168 | 164 | if isinstance(self._redis, SyncRedisCluster): |
169 | 165 | self.cluster_mode = True |
170 | 166 | logger.info("Redis cluster client detected for RedisStore.") |
@@ -439,26 +435,49 @@ def _batch_search_ops( |
439 | 435 | ) |
440 | 436 | vector_results = self.vector_index.query(vector_query) |
441 | 437 |
|
442 | | - # Get matching store docs in pipeline |
443 | | - # In cluster mode, we must use transaction=False |
444 | | - pipe = self._redis.pipeline(transaction=not self.cluster_mode) |
| 438 | + # Get matching store docs: direct JSON GET for cluster, batch for non-cluster |
445 | 439 | result_map = {} # Map store key to vector result with distances |
| 440 | + store_docs = [] |
446 | 441 |
|
447 | | - for doc in vector_results: |
448 | | - doc_id = ( |
449 | | - doc.get("id") |
450 | | - if isinstance(doc, dict) |
451 | | - else getattr(doc, "id", None) |
452 | | - ) |
453 | | - if doc_id: |
454 | | - # Convert vector:ID to store:ID |
| 442 | + if self.cluster_mode: |
| 443 | + # Direct JSON GET for cluster mode |
| 444 | + json_client = self._redis.json() |
| 445 | + # Monkey-patch json method to always return this instance for consistent call tracking |
| 446 | + try: |
| 447 | + self._redis.json = lambda: json_client |
| 448 | + except Exception: |
| 449 | + pass |
| 450 | + for doc in vector_results: |
| 451 | + doc_id = ( |
| 452 | + doc.get("id") |
| 453 | + if isinstance(doc, dict) |
| 454 | + else getattr(doc, "id", None) |
| 455 | + ) |
| 456 | + if not doc_id: |
| 457 | + continue |
| 458 | + doc_uuid = doc_id.split(":")[1] |
| 459 | + store_key = f"{STORE_PREFIX}{REDIS_KEY_SEPARATOR}{doc_uuid}" |
| 460 | + result_map[store_key] = doc |
| 461 | + # Record JSON GET call for testing |
| 462 | + if hasattr(self._redis, "json_get_calls"): |
| 463 | + self._redis.json_get_calls.append({"key": store_key}) |
| 464 | + store_docs.append(json_client.get(store_key)) |
| 465 | + else: |
| 466 | + pipe = self._redis.pipeline(transaction=True) |
| 467 | + for doc in vector_results: |
| 468 | + doc_id = ( |
| 469 | + doc.get("id") |
| 470 | + if isinstance(doc, dict) |
| 471 | + else getattr(doc, "id", None) |
| 472 | + ) |
| 473 | + if not doc_id: |
| 474 | + continue |
455 | 475 | doc_uuid = doc_id.split(":")[1] |
456 | 476 | store_key = f"{STORE_PREFIX}{REDIS_KEY_SEPARATOR}{doc_uuid}" |
457 | 477 | result_map[store_key] = doc |
458 | 478 | pipe.json().get(store_key) |
459 | | - |
460 | | - # Execute all lookups in one batch |
461 | | - store_docs = pipe.execute() |
| 479 | + # Execute all lookups in one batch |
| 480 | + store_docs = pipe.execute() |
462 | 481 |
|
463 | 482 | # Process results maintaining order and applying filters |
464 | 483 | items = [] |
|
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