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* Create snapshots path of collection upon trigger of snapshot api Sync changes within toc * [Test fix] Create snapshot on all peer nodes --------- Co-authored-by: Gulshan Kumar <[email protected]>
172 lines
6.3 KiB
Python
172 lines
6.3 KiB
Python
import pathlib
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from .fixtures import create_collection, upsert_random_points, random_dense_vector, search, random_sparse_vector
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from .utils import *
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N_PEERS = 3
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N_SHARDS = 3
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COLLECTION_NAME = "test_collection"
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def create_snapshot(peer_api_uri):
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r = requests.post(f"{peer_api_uri}/collections/{COLLECTION_NAME}/snapshots")
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assert_http_ok(r)
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return r.json()["result"]["name"]
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def create_payload_index(peer_api_uri, collection_name, field_name, field_schema):
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r = requests.put(f"{peer_api_uri}/collections/{COLLECTION_NAME}/index", json={
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"field_name": field_name,
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"field_schema": field_schema,
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})
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assert_http_ok(r)
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return r.json()["result"]
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def get_peer_id(peer_api_uri):
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r = requests.get(f"{peer_api_uri}/cluster")
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assert_http_ok(r)
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return r.json()["result"]["peer_id"]
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def get_local_shards(peer_api_uri):
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r = requests.get(f"{peer_api_uri}/collections/{COLLECTION_NAME}/cluster")
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assert_http_ok(r)
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return r.json()["result"]['local_shards']
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def get_remote_shards(peer_api_uri):
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r = requests.get(f"{peer_api_uri}/collections/{COLLECTION_NAME}/cluster")
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assert_http_ok(r)
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return r.json()["result"]['remote_shards']
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def recover_snapshot(peer_api_uri, snapshot_url):
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r = requests.put(f"{peer_api_uri}/collections/{COLLECTION_NAME}/snapshots/recover",
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json={"location": snapshot_url})
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assert_http_ok(r)
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return r.json()["result"]
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def test_recover_from_snapshot_1(tmp_path: pathlib.Path):
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recover_from_snapshot(tmp_path, 1)
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def test_recover_from_snapshot_2(tmp_path: pathlib.Path):
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recover_from_snapshot(tmp_path, 2)
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def recover_from_snapshot(tmp_path: pathlib.Path, n_replicas):
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assert_project_root()
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peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(tmp_path, N_PEERS)
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create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=n_replicas)
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wait_collection_exists_and_active_on_all_peers(collection_name=COLLECTION_NAME, peer_api_uris=peer_api_uris)
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create_payload_index(peer_api_uris[0], COLLECTION_NAME, "city", "keyword")
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wait_for_same_commit(peer_api_uris=peer_api_uris)
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upsert_random_points(peer_api_uris[0], 100)
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query_city = "London"
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dense_query_vector = random_dense_vector()
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dense_search_result = search(peer_api_uris[0], dense_query_vector, query_city)
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assert len(dense_search_result) > 0
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sparse_query_vector = {"name": "sparse-text", "vector": random_sparse_vector()}
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sparse_search_result = search(peer_api_uris[0], sparse_query_vector, query_city)
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assert len(sparse_search_result) > 0
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collection_info = get_collection_info(peer_api_uris[0], COLLECTION_NAME)
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points_with_indexed_payload = collection_info["payload_schema"]["city"]["points"]
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assert points_with_indexed_payload
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snapshot_name = create_snapshot(peer_api_uris[-1])
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assert snapshot_name is not None
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# move snapshots across peers.
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#
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snapshot_path = Path(peer_dirs[-1]) / "snapshots" / COLLECTION_NAME / snapshot_name
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assert snapshot_path.exists()
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# we setup the snapshots base paths on the peer where snapshot from an another peer will
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# be moved.
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create_snapshot(peer_api_uris[0])
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# move
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snapshot_path.rename(Path(peer_dirs[0]) / "snapshots" / COLLECTION_NAME / snapshot_name)
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process_peer_id = get_peer_id(peer_api_uris[-1])
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local_shards = get_local_shards(peer_api_uris[-1])
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# peer_0_remote_shards = get_remote_shards(peer_api_uris[0])
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# Kill last peer
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p = processes.pop()
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p.kill()
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# Remove last peer from cluster
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res = requests.delete(f"{peer_api_uris[0]}/cluster/peer/{process_peer_id}?force=true")
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assert_http_ok(res)
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new_peer_dir = make_peer_folder(tmp_path, N_PEERS + 1)
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new_url = start_peer(new_peer_dir, f"peer_snapshot_{N_PEERS + 1}.log", bootstrap_uri)
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# Wait node is up and synced
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while True:
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try:
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res = requests.get(f"{new_url}/collections")
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except requests.exceptions.ConnectionError:
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time.sleep(1)
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continue
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if not res.ok:
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time.sleep(1) # Wait to node is up
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continue
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collections = set(collection['name'] for collection in res.json()["result"]['collections'])
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if COLLECTION_NAME not in collections:
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time.sleep(1) # Wait to sync with consensus
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continue
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break
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# Recover snapshot
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# All nodes share the same snapshot directory, so it is fine to use any
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snapshot_url = f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/snapshots/{snapshot_name}"
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print(f"Recovering snapshot {snapshot_url} on {new_url}")
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recover_snapshot(new_url, snapshot_url)
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wait_collection_exists_and_active_on_all_peers(collection_name=COLLECTION_NAME, peer_api_uris=[new_url])
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new_local_shards = get_local_shards(new_url)
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new_local_shards = sorted(new_local_shards, key=lambda x: x['shard_id'])
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local_shards = sorted(local_shards, key=lambda x: x['shard_id'])
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assert len(new_local_shards) == len(local_shards)
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for i in range(len(new_local_shards)):
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assert new_local_shards[i] == local_shards[i]
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# check that the dense vectors are still the same
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new_dense_search_result = search(new_url, dense_query_vector, query_city)
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assert len(new_dense_search_result) == len(dense_search_result)
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for i in range(len(new_dense_search_result)):
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assert new_dense_search_result[i] == dense_search_result[i]
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# check that the sparse vectors are still the same
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new_sparse_search_result = search(new_url, sparse_query_vector, query_city)
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assert len(new_sparse_search_result) == len(sparse_search_result)
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for i in range(len(new_sparse_search_result)):
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# skip score check because it is not deterministic
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new_sparse_search_result[i]["score"] = sparse_search_result[i]["score"]
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assert new_sparse_search_result[i] == sparse_search_result[i]
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new_collection_info = get_collection_info(new_url, COLLECTION_NAME)
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new_points_with_indexed_payload = new_collection_info["payload_schema"]["city"]["points"]
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assert new_points_with_indexed_payload == points_with_indexed_payload
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peer_0_remote_shards_new = get_remote_shards(peer_api_uris[0])
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for shard in peer_0_remote_shards_new:
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print("remote shard", shard)
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assert shard['state'] == 'Active'
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assert len(peer_0_remote_shards_new) == 2 * n_replicas
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