Spaces:
Build error
Build error
| import multiprocessing | |
| import pathlib | |
| from time import sleep | |
| from .fixtures import upsert_random_points, create_collection | |
| from .utils import * | |
| N_PEERS = 3 | |
| N_SHARDS = 3 | |
| N_REPLICA = 1 | |
| COLLECTION_NAME = "test_collection" | |
| def update_points_in_loop(peer_url, collection_name, offset=0, throttle=False, duration=None): | |
| start = time.time() | |
| limit = 3 | |
| while True: | |
| upsert_random_points(peer_url, limit, collection_name, offset=offset) | |
| offset += limit | |
| if throttle: | |
| sleep(0.1) | |
| if duration is not None and (time.time() - start) > duration: | |
| break | |
| def run_update_points_in_background(peer_url, collection_name, init_offset=0, throttle=False, duration=None): | |
| p = multiprocessing.Process(target=update_points_in_loop, args=(peer_url, collection_name, init_offset, throttle, duration)) | |
| p.start() | |
| return p | |
| def check_data_consistency(data): | |
| assert(len(data) > 1) | |
| for i in range(len(data) - 1): | |
| j = i + 1 | |
| data_i = data[i] | |
| data_j = data[j] | |
| if data_i != data_j: | |
| ids_i = set(x["id"] for x in data_i["points"]) | |
| ids_j = set(x["id"] for x in data_j["points"]) | |
| diff = ids_i - ids_j | |
| if len(diff) < 100: | |
| print(f"Diff between {i} and {j}: {diff}") | |
| else: | |
| print(f"Diff len between {i} and {j}: {len(diff)}") | |
| assert False, "Data on all nodes should be consistent" | |
| # Transfer shards from one node to another | |
| # | |
| # Simply does the most basic transfer: no concurrent updates during the | |
| # transfer. | |
| # | |
| # Test that data on the both sides is consistent | |
| def test_shard_stream_transfer(tmp_path: pathlib.Path): | |
| assert_project_root() | |
| # seed port to reuse the same port for the restarted nodes | |
| peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(tmp_path, N_PEERS, 20000) | |
| create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=N_REPLICA) | |
| wait_collection_exists_and_active_on_all_peers( | |
| collection_name=COLLECTION_NAME, | |
| peer_api_uris=peer_api_uris | |
| ) | |
| # Insert some initial number of points | |
| upsert_random_points(peer_api_uris[0], 100) | |
| transfer_collection_cluster_info = get_collection_cluster_info(peer_api_uris[0], COLLECTION_NAME) | |
| receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME) | |
| from_peer_id = transfer_collection_cluster_info['peer_id'] | |
| to_peer_id = receiver_collection_cluster_info['peer_id'] | |
| shard_id = transfer_collection_cluster_info['local_shards'][0]['shard_id'] | |
| # Transfer shard from one node to another | |
| # Move shard `shard_id` to peer `target_peer_id` | |
| r = requests.post( | |
| f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={ | |
| "replicate_shard": { | |
| "shard_id": shard_id, | |
| "from_peer_id": from_peer_id, | |
| "to_peer_id": to_peer_id, | |
| "method": "stream_records", | |
| } | |
| }) | |
| assert_http_ok(r) | |
| # Wait for end of shard transfer | |
| wait_for_collection_shard_transfers_count(peer_api_uris[0], COLLECTION_NAME, 0) | |
| receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME) | |
| number_local_shards = len(receiver_collection_cluster_info['local_shards']) | |
| assert number_local_shards == 2 | |
| # Point counts must be consistent across nodes | |
| counts = [] | |
| for uri in peer_api_uris: | |
| r = requests.post( | |
| f"{uri}/collections/{COLLECTION_NAME}/points/count", json={ | |
| "exact": True | |
| } | |
| ) | |
| assert_http_ok(r) | |
| counts.append(r.json()["result"]['count']) | |
| assert counts[0] == counts[1] == counts[2] | |
| # Transfer shards from one node to another while applying throttled updates in parallel | |
| # | |
| # Updates are throttled to prevent sending updates faster than the queue proxy | |
| # can handle. The transfer must therefore finish in 30 seconds without issues. | |
| # | |
| # Test that data on the both sides is consistent | |
| def test_shard_stream_transfer_throttled_updates(tmp_path: pathlib.Path): | |
| assert_project_root() | |
| # seed port to reuse the same port for the restarted nodes | |
| peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(tmp_path, N_PEERS, 20000) | |
| create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=N_REPLICA) | |
| wait_collection_exists_and_active_on_all_peers( | |
| collection_name=COLLECTION_NAME, | |
| peer_api_uris=peer_api_uris | |
| ) | |
| # Insert some initial number of points | |
| upsert_random_points(peer_api_uris[0], 10000) | |
| # Start pushing points to the cluster | |
| upload_process_1 = run_update_points_in_background(peer_api_uris[0], COLLECTION_NAME, init_offset=100, throttle=True) | |
| upload_process_2 = run_update_points_in_background(peer_api_uris[1], COLLECTION_NAME, init_offset=10000, throttle=True) | |
| upload_process_3 = run_update_points_in_background(peer_api_uris[2], COLLECTION_NAME, init_offset=20000, throttle=True) | |
| transfer_collection_cluster_info = get_collection_cluster_info(peer_api_uris[0], COLLECTION_NAME) | |
| receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME) | |
| from_peer_id = transfer_collection_cluster_info['peer_id'] | |
| to_peer_id = receiver_collection_cluster_info['peer_id'] | |
| shard_id = transfer_collection_cluster_info['local_shards'][0]['shard_id'] | |
| # Transfer shard from one node to another | |
| # Move shard `shard_id` to peer `target_peer_id` | |
| r = requests.post( | |
| f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={ | |
| "replicate_shard": { | |
| "shard_id": shard_id, | |
| "from_peer_id": from_peer_id, | |
| "to_peer_id": to_peer_id, | |
| "method": "stream_records", | |
| } | |
| }) | |
| assert_http_ok(r) | |
| # Wait for end of shard transfer | |
| wait_for_collection_shard_transfers_count(peer_api_uris[0], COLLECTION_NAME, 0) | |
| upload_process_1.kill() | |
| upload_process_2.kill() | |
| upload_process_3.kill() | |
| sleep(1) | |
| receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME) | |
| number_local_shards = len(receiver_collection_cluster_info['local_shards']) | |
| assert number_local_shards == 2 | |
| # Point counts must be consistent across nodes | |
| counts = [] | |
| for uri in peer_api_uris: | |
| r = requests.post( | |
| f"{uri}/collections/{COLLECTION_NAME}/points/count", json={ | |
| "exact": True | |
| } | |
| ) | |
| assert_http_ok(r) | |
| counts.append(r.json()["result"]['count']) | |
| assert counts[0] == counts[1] == counts[2] | |
| # Transfer shards from one node to another while applying updates in parallel | |
| # | |
| # A fast burst of updates is sent in the first 5 seconds, the queue proxy will | |
| # not be able to keep up with this. After that, updates are throttled. The | |
| # transfer must still finish in 30 seconds without issues. | |
| # | |
| # Test that data on the both sides is consistent | |
| def test_shard_stream_transfer_fast_burst(tmp_path: pathlib.Path): | |
| assert_project_root() | |
| # seed port to reuse the same port for the restarted nodes | |
| peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(tmp_path, N_PEERS, 20000) | |
| create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=N_REPLICA) | |
| wait_collection_exists_and_active_on_all_peers( | |
| collection_name=COLLECTION_NAME, | |
| peer_api_uris=peer_api_uris | |
| ) | |
| # Insert some initial number of points | |
| upsert_random_points(peer_api_uris[0], 10000) | |
| # Start pushing points to the cluster | |
| upload_process_1 = run_update_points_in_background(peer_api_uris[0], COLLECTION_NAME, init_offset=100, duration=5) | |
| upload_process_2 = run_update_points_in_background(peer_api_uris[1], COLLECTION_NAME, init_offset=10000, duration=5) | |
| upload_process_3 = run_update_points_in_background(peer_api_uris[2], COLLECTION_NAME, init_offset=20000, throttle=True) | |
| transfer_collection_cluster_info = get_collection_cluster_info(peer_api_uris[0], COLLECTION_NAME) | |
| receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME) | |
| from_peer_id = transfer_collection_cluster_info['peer_id'] | |
| to_peer_id = receiver_collection_cluster_info['peer_id'] | |
| shard_id = transfer_collection_cluster_info['local_shards'][0]['shard_id'] | |
| # Transfer shard from one node to another | |
| # Move shard `shard_id` to peer `target_peer_id` | |
| r = requests.post( | |
| f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={ | |
| "replicate_shard": { | |
| "shard_id": shard_id, | |
| "from_peer_id": from_peer_id, | |
| "to_peer_id": to_peer_id, | |
| "method": "stream_records", | |
| } | |
| }) | |
| assert_http_ok(r) | |
| # Wait for end of shard transfer | |
| wait_for_collection_shard_transfers_count(peer_api_uris[0], COLLECTION_NAME, 0) | |
| upload_process_1.kill() | |
| upload_process_2.kill() | |
| upload_process_3.kill() | |
| sleep(1) | |
| receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME) | |
| number_local_shards = len(receiver_collection_cluster_info['local_shards']) | |
| assert number_local_shards == 2 | |
| # Point counts must be consistent across nodes | |
| counts = [] | |
| for uri in peer_api_uris: | |
| r = requests.post( | |
| f"{uri}/collections/{COLLECTION_NAME}/points/count", json={ | |
| "exact": True | |
| } | |
| ) | |
| assert_http_ok(r) | |
| counts.append(r.json()["result"]['count']) | |
| if counts[0] != counts[1] or counts[1] != counts[2]: | |
| data = [] | |
| for uri in peer_api_uris: | |
| r = requests.post( | |
| f"{uri}/collections/{COLLECTION_NAME}/points/scroll", json={ | |
| "limit": 999999999, | |
| "with_vectors": False, | |
| "with_payload": False, | |
| } | |
| ) | |
| assert_http_ok(r) | |
| data.append(r.json()["result"]) | |
| check_data_consistency(data) | |