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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
# Transfer shards from one node to another while applying updates in parallel
# Test that data on the both sides is consistent
def test_shard_snapshot_transfer_cancel(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": "snapshot"
}
})
assert_http_ok(r)
# Cancel shard transfer
r = requests.post(
f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
"abort_transfer": {
"shard_id": shard_id,
"from_peer_id": from_peer_id,
"to_peer_id": to_peer_id,
}
})
assert_http_ok(r)
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": "snapshot"
}
})
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] == 100
# Transfer shards from one node to another and cancel while applying updates in parallel
#
# A fast stream of updates is sent to the cluster, the queue proxy will not be
# able to keep up with it transferring all updates to the receiving node. If we
# cancel ater 5 seconds during this process, cancellation should still happen
# normally within 3 seconds.
#
# Test that data on the both sides is consistent
def test_shard_snapshot_transfer_cancel_during_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)
upload_process_2 = run_update_points_in_background(peer_api_uris[1], COLLECTION_NAME, init_offset=10000)
upload_process_3 = run_update_points_in_background(peer_api_uris[2], COLLECTION_NAME, init_offset=20000)
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={
"move_shard": {
"shard_id": shard_id,
"from_peer_id": from_peer_id,
"to_peer_id": to_peer_id,
"method": "snapshot"
}
})
assert_http_ok(r)
upload_process_1.kill()
upload_process_2.kill()
upload_process_3.kill()
# Cancel shard transfer
cancel_at = time.time()
r = requests.post(
f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster", json={
"abort_transfer": {
"shard_id": shard_id,
"from_peer_id": from_peer_id,
"to_peer_id": to_peer_id,
}
})
assert_http_ok(r)
# Wait for end of shard transfer
wait_for_collection_shard_transfers_count(peer_api_uris[2], COLLECTION_NAME, 0)
# Cancellation must happen within 3 seconds
assert (time.time() - cancel_at) <= 3
# Should have only one local shard since transfer was cancelled
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 == 1
# 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]
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