ClickHouse/tests/integration/test_cross_replication/test.py
2020-10-02 19:54:07 +03:00

94 lines
3.5 KiB
Python

import time
from contextlib import contextmanager
import pytest
from helpers.cluster import ClickHouseCluster
from helpers.network import PartitionManager
from helpers.test_tools import assert_eq_with_retry
cluster = ClickHouseCluster(__file__)
node1 = cluster.add_instance('node1', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
node2 = cluster.add_instance('node2', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
node3 = cluster.add_instance('node3', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
node_to_shards = [
(node1, [0, 2]),
(node2, [0, 1]),
(node3, [1, 2]),
]
for node, shards in node_to_shards:
for shard in shards:
node.query('''
CREATE DATABASE shard_{shard};
CREATE TABLE shard_{shard}.replicated(date Date, id UInt32, shard_id UInt32)
ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/replicated', '{replica}', date, id, 8192);
'''.format(shard=shard, replica=node.name))
node.query('''
CREATE TABLE distributed(date Date, id UInt32, shard_id UInt32)
ENGINE = Distributed(test_cluster, '', replicated, shard_id);
''')
# Insert some data onto different shards using the Distributed table
to_insert = '''\
2017-06-16 111 0
2017-06-16 222 1
2017-06-16 333 2
'''
node1.query("INSERT INTO distributed FORMAT TSV", stdin=to_insert)
time.sleep(0.5)
yield cluster
finally:
cluster.shutdown()
def test(started_cluster):
# Check that the data has been inserted into correct tables.
assert_eq_with_retry(node1, "SELECT id FROM shard_0.replicated", '111')
assert_eq_with_retry(node1, "SELECT id FROM shard_2.replicated", '333')
assert_eq_with_retry(node2, "SELECT id FROM shard_0.replicated", '111')
assert_eq_with_retry(node2, "SELECT id FROM shard_1.replicated", '222')
assert_eq_with_retry(node3, "SELECT id FROM shard_1.replicated", '222')
assert_eq_with_retry(node3, "SELECT id FROM shard_2.replicated", '333')
# Check that SELECT from the Distributed table works.
expected_from_distributed = '''\
2017-06-16 111 0
2017-06-16 222 1
2017-06-16 333 2
'''
assert_eq_with_retry(node1, "SELECT * FROM distributed ORDER BY id", expected_from_distributed)
assert_eq_with_retry(node2, "SELECT * FROM distributed ORDER BY id", expected_from_distributed)
assert_eq_with_retry(node3, "SELECT * FROM distributed ORDER BY id", expected_from_distributed)
# Now isolate node3 from other nodes and check that SELECTs on other nodes still work.
with PartitionManager() as pm:
pm.partition_instances(node3, node1, action='REJECT --reject-with tcp-reset')
pm.partition_instances(node3, node2, action='REJECT --reject-with tcp-reset')
assert_eq_with_retry(node1, "SELECT * FROM distributed ORDER BY id", expected_from_distributed)
assert_eq_with_retry(node2, "SELECT * FROM distributed ORDER BY id", expected_from_distributed)
with pytest.raises(Exception):
print(node3.query_with_retry("SELECT * FROM distributed ORDER BY id", retry_count=5))
if __name__ == '__main__':
with contextmanager(started_cluster)() as cluster:
for name, instance in list(cluster.instances.items()):
print(name, instance.ip_address)
input("Cluster created, press any key to destroy...")