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203 lines
7.2 KiB
Python
203 lines
7.2 KiB
Python
import multiprocessing
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import pathlib
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from time import sleep
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from .fixtures import upsert_random_points, create_collection
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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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N_REPLICA = 1
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COLLECTION_NAME = "test_collection"
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def update_points_in_loop(peer_url, collection_name, offset=0, throttle=False, duration=None):
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start = time.time()
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limit = 3
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while True:
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upsert_random_points(peer_url, limit, collection_name, offset=offset)
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offset += limit
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if throttle:
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sleep(0.1)
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if duration is not None and (time.time() - start) > duration:
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break
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def run_update_points_in_background(peer_url, collection_name, init_offset=0, throttle=False, duration=None):
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p = multiprocessing.Process(target=update_points_in_loop, args=(peer_url, collection_name, init_offset, throttle, duration))
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p.start()
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return p
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# Transfer shards from one node to another while applying updates in parallel
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# Test that data on the both sides is consistent
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def test_shard_snapshot_transfer_cancel(tmp_path: pathlib.Path):
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assert_project_root()
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# seed port to reuse the same port for the restarted nodes
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peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(tmp_path, N_PEERS, 20000)
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create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=N_REPLICA)
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wait_collection_exists_and_active_on_all_peers(
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collection_name=COLLECTION_NAME,
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peer_api_uris=peer_api_uris
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)
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# Insert some initial number of points
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upsert_random_points(peer_api_uris[0], 100)
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transfer_collection_cluster_info = get_collection_cluster_info(peer_api_uris[0], COLLECTION_NAME)
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receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME)
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from_peer_id = transfer_collection_cluster_info['peer_id']
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to_peer_id = receiver_collection_cluster_info['peer_id']
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shard_id = transfer_collection_cluster_info['local_shards'][0]['shard_id']
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# Transfer shard from one node to another
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# Move shard `shard_id` to peer `target_peer_id`
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r = requests.post(
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f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
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"replicate_shard": {
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"shard_id": shard_id,
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"from_peer_id": from_peer_id,
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"to_peer_id": to_peer_id,
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"method": "snapshot"
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}
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})
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assert_http_ok(r)
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# Cancel shard transfer
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r = requests.post(
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f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
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"abort_transfer": {
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"shard_id": shard_id,
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"from_peer_id": from_peer_id,
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"to_peer_id": to_peer_id,
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}
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})
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assert_http_ok(r)
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r = requests.post(
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f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
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"replicate_shard": {
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"shard_id": shard_id,
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"from_peer_id": from_peer_id,
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"to_peer_id": to_peer_id,
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"method": "snapshot"
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}
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})
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assert_http_ok(r)
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# Wait for end of shard transfer
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wait_for_collection_shard_transfers_count(peer_api_uris[0], COLLECTION_NAME, 0)
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receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME)
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number_local_shards = len(receiver_collection_cluster_info['local_shards'])
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assert number_local_shards == 2
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# Point counts must be consistent across nodes
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counts = []
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for uri in peer_api_uris:
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r = requests.post(
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f"{uri}/collections/{COLLECTION_NAME}/points/count", json={
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"exact": True
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}
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)
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assert_http_ok(r)
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counts.append(r.json()["result"]['count'])
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assert counts[0] == counts[1] == counts[2] == 100
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# Transfer shards from one node to another and cancel while applying updates in parallel
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#
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# A fast stream of updates is sent to the cluster, the queue proxy will not be
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# able to keep up with it transferring all updates to the receiving node. If we
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# cancel ater 5 seconds during this process, cancellation should still happen
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# normally within 3 seconds.
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#
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# Test that data on the both sides is consistent
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def test_shard_snapshot_transfer_cancel_during_updates(tmp_path: pathlib.Path):
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assert_project_root()
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# seed port to reuse the same port for the restarted nodes
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peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(tmp_path, N_PEERS, 20000)
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create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=N_REPLICA)
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wait_collection_exists_and_active_on_all_peers(
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collection_name=COLLECTION_NAME,
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peer_api_uris=peer_api_uris
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)
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# Insert some initial number of points
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upsert_random_points(peer_api_uris[0], 10000)
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# Start pushing points to the cluster
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upload_process_1 = run_update_points_in_background(peer_api_uris[0], COLLECTION_NAME, init_offset=100)
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upload_process_2 = run_update_points_in_background(peer_api_uris[1], COLLECTION_NAME, init_offset=10000)
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upload_process_3 = run_update_points_in_background(peer_api_uris[2], COLLECTION_NAME, init_offset=20000)
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transfer_collection_cluster_info = get_collection_cluster_info(peer_api_uris[0], COLLECTION_NAME)
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receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME)
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from_peer_id = transfer_collection_cluster_info['peer_id']
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to_peer_id = receiver_collection_cluster_info['peer_id']
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shard_id = transfer_collection_cluster_info['local_shards'][0]['shard_id']
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# Transfer shard from one node to another
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# Move shard `shard_id` to peer `target_peer_id`
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r = requests.post(
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f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
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"move_shard": {
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"shard_id": shard_id,
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"from_peer_id": from_peer_id,
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"to_peer_id": to_peer_id,
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"method": "snapshot"
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}
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})
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assert_http_ok(r)
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upload_process_1.kill()
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upload_process_2.kill()
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upload_process_3.kill()
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# Cancel shard transfer
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cancel_at = time.time()
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r = requests.post(
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f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
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"abort_transfer": {
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"shard_id": shard_id,
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"from_peer_id": from_peer_id,
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"to_peer_id": to_peer_id,
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}
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})
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assert_http_ok(r)
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# Wait for end of shard transfer
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wait_for_collection_shard_transfers_count(peer_api_uris[2], COLLECTION_NAME, 0)
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# Cancellation must happen within 3 seconds
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assert (time.time() - cancel_at) <= 3
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# Should have only one local shard since transfer was cancelled
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receiver_collection_cluster_info = get_collection_cluster_info(peer_api_uris[2], COLLECTION_NAME)
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number_local_shards = len(receiver_collection_cluster_info['local_shards'])
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assert number_local_shards == 1
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# Point counts must be consistent across nodes
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counts = []
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for uri in peer_api_uris:
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r = requests.post(
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f"{uri}/collections/{COLLECTION_NAME}/points/count", json={
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"exact": True
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}
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)
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assert_http_ok(r)
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counts.append(r.json()["result"]['count'])
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assert counts[0] == counts[1] == counts[2]
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