# 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"], user_configs=["configs/users.xml"], ) n2 = cluster.add_instance( "n2", main_configs=["configs/remote_servers.xml"], user_configs=["configs/users.xml"], ) n3 = cluster.add_instance( "n3", main_configs=["configs/remote_servers.xml"], user_configs=["configs/users.xml"], ) nodes = len(cluster.instances) queries = nodes * 10 # SYSTEM RELOAD CONFIG will reset some attributes of the nodes in cluster # - error_count # - last_used (round_robing) # # This is required to avoid interference results of one test to another @pytest.fixture(scope="function", autouse=True) def test_setup(): for n in list(cluster.instances.values()): n.query("SYSTEM RELOAD CONFIG") def bootstrap(): for n in list(cluster.instances.values()): 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) """ ) n.query( """ CREATE TABLE dist_priority AS data Engine=Distributed( replicas_priority_cluster, currentDatabase(), data) """ ) n.query( """ CREATE TABLE dist_priority_negative AS data Engine=Distributed( replicas_priority_negative_cluster, currentDatabase(), data) """ ) 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 hostName() 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 """.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 = { "use_hedged_requests": 0, "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"