Files
qdrant/tests/consensus_tests/test_replicate_points.py
qdrant-cloud-bot f689dcc8cc ci: parallelize consensus tests with pytest-xdist (#8717)
* ci: parallelize consensus tests with pytest-xdist

Enable pytest-xdist for consensus_tests to run tests across multiple
workers in parallel, significantly reducing CI wall time (~20min → ~5-7min).

Changes:
- Add `-n auto --dist=loadfile` to the consensus test pytest invocation
- Remove hardcoded port_seed from tests that don't need fixed ports for
  restart/rejoin (test_order_by, test_consensus_compaction,
  test_named_vector_crud, test_listener_node)
- Give test_cluster_rejoin its own PORT_SEED=15000 to avoid port
  conflicts with auth tests (PORT_SEED=10000)
- Derive restart ports from killed PeerProcess objects instead of
  hardcoded arithmetic where possible
- Add xdist_group("auth") marker to auth test files to ensure they
  run on the same worker (they share PORT_SEED=10000)

Made-with: Cursor

* fix: remove remaining hardcoded port_seed=20000 causing parallel test conflicts

8 test files were using port_seed=20000 as a positional argument to
start_cluster(), which was missed in the initial change. When running
in parallel with pytest-xdist, multiple workers would try to bind to
the same port range (20000-20x02), causing port conflicts and cascading
test failures.

Also remove port_seed=23000 from test_snapshot_recovery_kill.py since
it doesn't need fixed ports for restart.

Made-with: Cursor

* fix: use saved port for restart in test_two_follower_nodes_down

The test was restarting killed peers on hardcoded ports (20200/20100)
that previously matched port_seed=20000. After switching to random
ports, the restart ports no longer match the original peer ports,
causing raft state URI mismatches and peer startup failures.

Save the p2p_port from the killed PeerProcess and reuse it for restart.

Made-with: Cursor

* Reuse p2p ports when restarting killed peers in consensus tests

When a peer is killed and restarted with random ports, it gets a new
consensus URI. The cluster needs a Raft operation to update this URI,
which under CPU contention from parallel test workers can exceed the
30-second timeout. Fix by capturing each peer's p2p_port before killing
and reusing it on restart, so the URI stays the same and no consensus
update is needed.

Made-with: Cursor

* A few improvements for parallel runs (#8731)

* fix: make auth tests' PORT_SEED per-worker to avoid port collisions
* ci: improve failure visibility for parallel consensus tests
* Three small changes to make hangs, interleaved output, and coverage runs behave predictably under pytest-xdist
* fix: two test bugs surfaced by parallel runs and revert drop PR_SET_PDEATHSIG helper
* fix: wait for count convergence in test_triple_replication
* fix: clean leaked peer processes at test start

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Cursor Agent <agent@cursor.com>
Co-authored-by: tellet-q <166374656+tellet-q@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 08:07:27 +02:00

195 lines
8.0 KiB
Python

import pathlib
import multiprocessing
from time import sleep
from .fixtures import upsert_random_points, create_collection
from .utils import *
from .test_custom_sharding import create_shard
N_PEERS = 1
N_SHARDS = 1
N_REPLICA = 1
COLLECTION_NAME = "test_collection"
def update_points_in_loop(peer_url, collection_name, num_points=None, num_cities=None, shard_key=None, offset=0, throttle=False, duration=None):
start = time.time()
limit = 3
counter = 0
while True:
if num_points is not None:
if counter >= num_points:
break
if (num_points - counter) < limit:
limit = num_points - counter
upsert_random_points(peer_url, limit, collection_name, num_cities=num_cities, shard_key=shard_key, offset=offset)
offset += limit
counter += 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, num_points=None, num_cities=None, shard_key=None, init_offset=0, throttle=False, duration=None):
p = multiprocessing.Process(target=update_points_in_loop, args=(peer_url, collection_name, num_points, num_cities, shard_key, init_offset, throttle, duration))
p.start()
return p
# Transfer points from one shard 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_replicate_points_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)
create_collection(
peer_api_uris[0],
sharding_method="custom",
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
)
create_shard(
peer_api_uris[0], COLLECTION_NAME, shard_key="default", shard_number=N_SHARDS
)
create_shard(
peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", shard_number=N_SHARDS
)
# Insert some initial number of points
upsert_random_points(peer_api_uris[0], 100, shard_key="default")
filter = {"must": {"key": "city", "match": {"value": "London"}}}
inverse_filter = {"must_not": {"key": "city", "match": {"value": "London"}}}
expected_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="default", exact=True, filter=filter)
initial_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", exact=True)
assert expected_count > 0
assert initial_count == 0 # no points in tenant shard key before transfer
r = requests.post(
f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster",
json={
"replicate_points": {
"filter": filter,
"from_shard_key": "default",
"to_shard_key": "tenant",
}
},
)
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[-1], COLLECTION_NAME
)
number_local_shards = len(receiver_collection_cluster_info["local_shards"])
assert number_local_shards == 2
# Point counts must be consistent across shard keys for given filter
default_filtered_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="default", exact=True, filter=filter)
tenant_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", exact=True)
tenant_inverse_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", exact=True, filter=inverse_filter)
assert default_filtered_count == expected_count # original shard should remain unchanged
assert tenant_count == expected_count # new shard should also have the points
assert tenant_inverse_count == 0 # new shard should have only the points matching the filter
# Replicate points from one shard 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
@pytest.mark.parametrize("override_points", [True, False])
def test_replicate_points_stream_transfer_updates(tmp_path: pathlib.Path, override_points: bool):
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)
create_collection(
peer_api_uris[0],
sharding_method="custom",
shard_number=N_SHARDS,
replication_factor=N_REPLICA,
indexing_threshold=None,
)
wait_collection_exists_and_active_on_all_peers(
collection_name=COLLECTION_NAME, peer_api_uris=peer_api_uris
)
create_shard(
peer_api_uris[0], COLLECTION_NAME, shard_key="default", shard_number=N_SHARDS
)
create_shard(
peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", shard_number=N_SHARDS
)
# Insert some initial number of points
upsert_random_points(peer_api_uris[0], 10000, num_cities=2, shard_key="default")
filter = {"must": {"key": "city", "match": {"value": "London"}}}
inverse_filter = {"must_not": {"key": "city", "match": {"value": "London"}}}
original_filtered_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="default", exact=True, filter=filter)
initial_dest_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", exact=True)
assert original_filtered_count > 0
assert initial_dest_count == 0 # no points in tenant shard key before transfer
# Start pushing new points to the cluster in parallel (update some old ones + insert new ones)
num_points_to_override = 10 if override_points else 0
upload_process_1 = run_update_points_in_background(peer_api_uris[0], COLLECTION_NAME, shard_key="default", init_offset=10000-num_points_to_override, num_points=250, num_cities=2, throttle=False)
r = requests.post(
f"{peer_api_uris[0]}/collections/{COLLECTION_NAME}/cluster",
json={
"replicate_points": {
"filter": filter,
"from_shard_key": "default",
"to_shard_key": "tenant",
}
},
)
assert_http_ok(r)
# Stop upserts before transfer finishes so we don't push extra points to "default" after transfer
# TODO: Use "fallback" once PR is merged and kill after transfer is done
sleep(1)
upload_process_1.kill()
# Wait for end of 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[-1], COLLECTION_NAME
)
number_local_shards = len(receiver_collection_cluster_info["local_shards"])
assert number_local_shards == 2
# Point counts must be consistent across shard keys for given filter
src_filtered_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="default", exact=True, filter=filter)
dest_filtered_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", exact=True, filter=filter)
assert dest_filtered_count > original_filtered_count # more points than before due to upserts during transfer
assert dest_filtered_count == src_filtered_count # new shard should also have the same points
if override_points is False:
dest_inverse_count = get_collection_point_count(peer_api_uris[0], COLLECTION_NAME, shard_key="tenant", exact=True, filter=inverse_filter)
assert dest_inverse_count == 0 # new shard should have only the points matching the filter