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