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90 lines
2.4 KiB
Python
90 lines
2.4 KiB
Python
import pytest
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from helpers.cluster import ClickHouseCluster
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cluster = ClickHouseCluster(__file__)
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nodes = [
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cluster.add_instance(
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f"n{i}", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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for i in range(1, 5)
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]
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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):
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n1 = nodes[0]
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n1.query("DROP TABLE IF EXISTS dist_table")
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n1.query(f"DROP TABLE IF EXISTS test_table ON CLUSTER {cluster}")
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n1.query(
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f"CREATE TABLE test_table ON CLUSTER {cluster} (key Int32, value String) Engine=MergeTree ORDER BY (key, sipHash64(value))"
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)
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n1.query(
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f"""
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CREATE TABLE dist_table AS test_table
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Engine=Distributed(
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{cluster},
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currentDatabase(),
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test_table,
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rand()
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)
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"""
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)
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def insert_data(cluster, row_num):
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create_tables(cluster)
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n1 = nodes[0]
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n1.query(
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f"INSERT INTO dist_table SELECT number % 4, number FROM numbers({row_num})"
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)
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n1.query("SYSTEM FLUSH DISTRIBUTED dist_table")
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@pytest.mark.parametrize("custom_key", ["sipHash64(key)", "key"])
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@pytest.mark.parametrize("filter_type", ["default", "range"])
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@pytest.mark.parametrize(
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"cluster",
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["test_multiple_shards_multiple_replicas", "test_single_shard_multiple_replicas"],
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)
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def test_parallel_replicas_custom_key(start_cluster, cluster, custom_key, filter_type):
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for node in nodes:
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node.rotate_logs()
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row_num = 1000
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insert_data(cluster, row_num)
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expected_result = ""
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for i in range(4):
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expected_result += f"{i}\t250\n"
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n1 = nodes[0]
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assert (
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n1.query(
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"SELECT key, count() FROM dist_table GROUP BY key ORDER BY key",
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settings={
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"prefer_localhost_replica": 0,
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"max_parallel_replicas": 4,
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"parallel_replicas_custom_key": custom_key,
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"parallel_replicas_custom_key_filter_type": filter_type,
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},
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)
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== expected_result
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)
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if cluster == "test_multiple_shards_multiple_replicas":
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# we simply process query on all replicas for each shard by appending the filter on replica
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assert all(
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node.contains_in_log("Processing query on a replica using custom_key")
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for node in nodes
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)
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