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124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
import uuid
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import pytest
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from helpers.cluster import ClickHouseCluster
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cluster = ClickHouseCluster(__file__)
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node1 = cluster.add_instance(
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"n1", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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node3 = cluster.add_instance(
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"n3", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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nodes = [node1, node3]
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@pytest.fixture(scope="module", autouse=True)
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def start_cluster():
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try:
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cluster.start()
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yield cluster
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finally:
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cluster.shutdown()
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def create_tables(cluster, table_name):
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node1.query(f"DROP TABLE IF EXISTS {table_name} SYNC")
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node3.query(f"DROP TABLE IF EXISTS {table_name} SYNC")
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node1.query(
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f"CREATE TABLE IF NOT EXISTS {table_name} (key UInt64, value String) Engine=ReplicatedMergeTree('/test_parallel_replicas/shard1/{table_name}', 'r1') ORDER BY (key)"
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)
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node3.query(
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f"CREATE TABLE IF NOT EXISTS {table_name} (key UInt64, value String) Engine=ReplicatedMergeTree('/test_parallel_replicas/shard1/{table_name}', 'r3') ORDER BY (key)"
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)
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# populate data
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node1.query(
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f"INSERT INTO {table_name} SELECT number % 4, number FROM numbers(1000)"
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)
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node1.query(
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f"INSERT INTO {table_name} SELECT number % 4, number FROM numbers(1000, 1000)"
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)
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node1.query(
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f"INSERT INTO {table_name} SELECT number % 4, number FROM numbers(2000, 1000)"
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)
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node1.query(
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f"INSERT INTO {table_name} SELECT number % 4, number FROM numbers(3000, 1000)"
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)
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node3.query(f"SYSTEM SYNC REPLICA {table_name}")
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@pytest.mark.parametrize("use_hedged_requests", [1, 0])
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@pytest.mark.parametrize("custom_key", ["sipHash64(key)", "key"])
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@pytest.mark.parametrize(
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"parallel_replicas_mode", ["custom_key_sampling", "custom_key_range"]
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)
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@pytest.mark.parametrize("prefer_localhost_replica", [0, 1])
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def test_parallel_replicas_custom_key_failover(
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start_cluster,
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use_hedged_requests,
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custom_key,
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parallel_replicas_mode,
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prefer_localhost_replica,
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):
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cluster_name = "test_single_shard_multiple_replicas"
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table = "test_table"
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create_tables(cluster_name, table)
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expected_result = ""
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for i in range(4):
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expected_result += f"{i}\t1000\n"
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log_comment = uuid.uuid4()
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assert (
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node1.query(
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f"SELECT key, count() FROM cluster('{cluster_name}', currentDatabase(), test_table) GROUP BY key ORDER BY key",
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settings={
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"log_comment": log_comment,
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"max_parallel_replicas": 4,
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"enable_parallel_replicas": 1,
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"parallel_replicas_custom_key": custom_key,
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"parallel_replicas_mode": parallel_replicas_mode,
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"use_hedged_requests": use_hedged_requests,
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"prefer_localhost_replica": prefer_localhost_replica,
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# avoid considering replica delay on connection choice
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# otherwise connection can be not distributed evenly among available nodes
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# and so custom key secondary queries (we check it bellow)
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"max_replica_delay_for_distributed_queries": 0,
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},
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)
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== expected_result
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)
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for node in nodes:
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node.query("system flush logs")
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# the subqueries should be spread over available nodes
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query_id = node1.query(
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f"SELECT query_id FROM system.query_log WHERE current_database = currentDatabase() AND log_comment = '{log_comment}' AND type = 'QueryFinish' AND initial_query_id = query_id"
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)
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assert query_id != ""
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query_id = query_id[:-1]
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assert (
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node1.query(
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f"SELECT 'subqueries', count() FROM clusterAllReplicas({cluster_name}, system.query_log) WHERE initial_query_id = '{query_id}' AND type ='QueryFinish' AND query_id != initial_query_id SETTINGS skip_unavailable_shards=1"
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)
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== "subqueries\t4\n"
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)
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# With enabled hedged requests, we can't guarantee exact query distribution among nodes
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# In case of a replica being slow in terms of responsiveness, hedged connection can change initial replicas choice
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if use_hedged_requests == 0:
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assert (
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node1.query(
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f"SELECT h, count() FROM clusterAllReplicas({cluster_name}, system.query_log) WHERE initial_query_id = '{query_id}' AND type ='QueryFinish' GROUP BY hostname() as h ORDER BY h SETTINGS skip_unavailable_shards=1"
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)
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== "n1\t3\nn3\t2\n"
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)
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