# pylint: disable=unused-argument # pylint: disable=redefined-outer-name # pylint: disable=line-too-long import uuid import pytest from helpers.cluster import ClickHouseCluster cluster = ClickHouseCluster(__file__) n1 = cluster.add_instance('n1', main_configs=['configs/remote_servers.xml']) n2 = cluster.add_instance('n2', main_configs=['configs/remote_servers.xml']) n3 = cluster.add_instance('n3', main_configs=['configs/remote_servers.xml']) nodes = len(cluster.instances) queries = nodes * 5 def bootstrap(): for n in list(cluster.instances.values()): # At startup, server loads configuration files. # # However ConfigReloader does not know about already loaded files # (files is empty()), hence it will always reload the configuration # just after server starts (+ 2 seconds, reload timeout). # # And on configuration reload the clusters will be re-created, so some # internal stuff will be reseted: # - error_count # - last_used (round_robing) # # And if the reload will happen during round_robin test it will start # querying from the beginning, so let's issue config reload just after # start to avoid reload in the middle of the test execution. n.query('SYSTEM RELOAD CONFIG') n.query('DROP TABLE IF EXISTS data') n.query('DROP TABLE IF EXISTS dist') n.query('CREATE TABLE data (key Int) Engine=Memory()') n.query(""" CREATE TABLE dist AS data Engine=Distributed( replicas_cluster, currentDatabase(), data) """.format()) n.query(""" CREATE TABLE dist_priority AS data Engine=Distributed( replicas_priority_cluster, currentDatabase(), data) """.format()) n.query(""" CREATE TABLE dist_priority_negative AS data Engine=Distributed( replicas_priority_negative_cluster, currentDatabase(), data) """.format()) def make_uuid(): return uuid.uuid4().hex @pytest.fixture(scope='module', autouse=True) def start_cluster(): try: cluster.start() bootstrap() yield cluster finally: cluster.shutdown() def get_node(query_node, table='dist', *args, **kwargs): query_id = make_uuid() settings = { 'query_id': query_id, 'log_queries': 1, 'log_queries_min_type': 'QUERY_START', 'prefer_localhost_replica': 0, } if 'settings' not in kwargs: kwargs['settings'] = settings else: kwargs['settings'].update(settings) query_node.query('SELECT * FROM ' + table, *args, **kwargs) for n in list(cluster.instances.values()): n.query('SYSTEM FLUSH LOGS') rows = query_node.query(""" SELECT c.host_name FROM ( SELECT _shard_num FROM cluster(shards_cluster, system.query_log) WHERE initial_query_id = '{query_id}' AND is_initial_query = 0 AND type = 'QueryFinish' ORDER BY event_date DESC, event_time DESC LIMIT 1 ) a JOIN system.clusters c ON a._shard_num = c.shard_num AND cluster = 'shards_cluster' """.format(query_id=query_id)) return rows.strip() # TODO: right now random distribution looks bad, but works def test_load_balancing_default(): unique_nodes = set() for _ in range(0, queries): unique_nodes.add(get_node(n1, settings={'load_balancing': 'random'})) assert len(unique_nodes) == nodes, unique_nodes def test_load_balancing_nearest_hostname(): unique_nodes = set() for _ in range(0, queries): unique_nodes.add(get_node(n1, settings={'load_balancing': 'nearest_hostname'})) assert len(unique_nodes) == 1, unique_nodes assert unique_nodes == set(['n1']) def test_load_balancing_in_order(): unique_nodes = set() for _ in range(0, queries): unique_nodes.add(get_node(n1, settings={'load_balancing': 'in_order'})) assert len(unique_nodes) == 1, unique_nodes assert unique_nodes == set(['n1']) def test_load_balancing_first_or_random(): unique_nodes = set() for _ in range(0, queries): unique_nodes.add(get_node(n1, settings={'load_balancing': 'first_or_random'})) assert len(unique_nodes) == 1, unique_nodes assert unique_nodes == set(['n1']) def test_load_balancing_round_robin(): unique_nodes = set() for _ in range(0, nodes): unique_nodes.add(get_node(n1, settings={'load_balancing': 'round_robin'})) assert len(unique_nodes) == nodes, unique_nodes assert unique_nodes == set(['n1', 'n2', 'n3']) @pytest.mark.parametrize('dist_table', [ ('dist_priority'), ('dist_priority_negative'), ]) def test_load_balancing_priority_round_robin(dist_table): unique_nodes = set() for _ in range(0, nodes): unique_nodes.add(get_node(n1, dist_table, settings={'load_balancing': 'round_robin'})) assert len(unique_nodes) == 2, unique_nodes # n2 has bigger priority in config assert unique_nodes == set(['n1', 'n3']) def test_distributed_replica_max_ignored_errors(): settings = { 'load_balancing': 'in_order', 'prefer_localhost_replica': 0, 'connect_timeout': 2, 'receive_timeout': 2, 'send_timeout': 2, 'idle_connection_timeout': 2, 'tcp_keep_alive_timeout': 2, 'distributed_replica_max_ignored_errors': 0, 'distributed_replica_error_half_life': 60, } # initiate connection (if started only this test) n2.query('SELECT * FROM dist', settings=settings) cluster.pause_container('n1') # n1 paused -- skipping, and increment error_count for n1 # but the query succeeds, no need in query_and_get_error() n2.query('SELECT * FROM dist', settings=settings) # XXX: due to config reloading we need second time (sigh) n2.query('SELECT * FROM dist', settings=settings) # check error_count for n1 assert int(n2.query(""" SELECT errors_count FROM system.clusters WHERE cluster = 'replicas_cluster' AND host_name = 'n1' """, settings=settings)) == 1 cluster.unpause_container('n1') # still n2 assert get_node(n2, settings=settings) == 'n2' # now n1 settings['distributed_replica_max_ignored_errors'] = 1 assert get_node(n2, settings=settings) == 'n1'