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593 lines
21 KiB
Python
Executable File
593 lines
21 KiB
Python
Executable File
import os
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import sys
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import time
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from contextlib import contextmanager
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import pytest
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from helpers.test_tools import TSV
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from .cluster import ClickHouseClusterWithDDLHelpers
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@pytest.fixture(scope="module", params=["configs", "configs_secure"])
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def test_cluster(request):
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cluster = ClickHouseClusterWithDDLHelpers(__file__, request.param, request.param)
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try:
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cluster.prepare()
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yield cluster
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instance = cluster.instances["ch1"]
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cluster.ddl_check_query(instance, "DROP DATABASE test ON CLUSTER 'cluster'")
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cluster.ddl_check_query(
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instance, "DROP DATABASE IF EXISTS test2 ON CLUSTER 'cluster'"
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)
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# Check query log to ensure that DDL queries are not executed twice
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time.sleep(1.5)
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for instance in list(cluster.instances.values()):
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cluster.ddl_check_there_are_no_dublicates(instance)
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cluster.pm_random_drops.heal_all()
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finally:
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cluster.shutdown()
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def test_default_database(test_cluster):
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instance = test_cluster.instances["ch3"]
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test_cluster.ddl_check_query(
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instance, "CREATE DATABASE IF NOT EXISTS test2 ON CLUSTER 'cluster' FORMAT TSV"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS null ON CLUSTER 'cluster' FORMAT TSV"
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE null ON CLUSTER 'cluster2' (s String DEFAULT 'escape\t\nme') ENGINE = Null",
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settings={"distributed_ddl_entry_format_version": 2},
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)
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contents = instance.query(
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"SELECT hostName() AS h, database FROM all_tables WHERE name = 'null' ORDER BY h"
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)
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assert TSV(contents) == TSV("ch1\tdefault\nch2\ttest2\nch3\tdefault\nch4\ttest2\n")
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test_cluster.ddl_check_query(
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instance,
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"DROP TABLE IF EXISTS null ON CLUSTER cluster2",
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settings={"distributed_ddl_entry_format_version": 2},
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)
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test_cluster.ddl_check_query(
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instance, "DROP DATABASE IF EXISTS test2 ON CLUSTER 'cluster'"
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)
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def test_create_view(test_cluster):
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instance = test_cluster.instances["ch3"]
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test.super_simple_view ON CLUSTER 'cluster'"
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE VIEW test.super_simple_view ON CLUSTER 'cluster' AS SELECT * FROM system.numbers FORMAT TSV",
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE MATERIALIZED VIEW test.simple_mat_view ON CLUSTER 'cluster' ENGINE = Memory AS SELECT * FROM system.numbers FORMAT TSV",
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE test.simple_mat_view ON CLUSTER 'cluster' FORMAT TSV"
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)
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test_cluster.ddl_check_query(
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instance,
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"DROP TABLE IF EXISTS test.super_simple_view2 ON CLUSTER 'cluster' FORMAT TSV",
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE test.super_simple ON CLUSTER 'cluster' (i Int8) ENGINE = Memory",
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)
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test_cluster.ddl_check_query(
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instance,
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"RENAME TABLE test.super_simple TO test.super_simple2 ON CLUSTER 'cluster' FORMAT TSV",
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE test.super_simple2 ON CLUSTER 'cluster'"
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)
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def test_on_server_fail(test_cluster):
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instance = test_cluster.instances["ch1"]
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kill_instance = test_cluster.instances["ch2"]
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test.test_server_fail ON CLUSTER 'cluster'"
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)
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kill_instance.get_docker_handle().stop()
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request = instance.get_query_request(
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"CREATE TABLE test.test_server_fail ON CLUSTER 'cluster' (i Int8) ENGINE=Null",
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timeout=180,
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)
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kill_instance.get_docker_handle().start()
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test.__nope__ ON CLUSTER 'cluster'"
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)
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# Check query itself
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test_cluster.check_all_hosts_successfully_executed(request.get_answer())
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# And check query artefacts
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contents = instance.query(
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"SELECT hostName() AS h FROM all_tables WHERE database='test' AND name='test_server_fail' ORDER BY h"
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)
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assert TSV(contents) == TSV("ch1\nch2\nch3\nch4\n")
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test_cluster.ddl_check_query(
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instance, "DROP TABLE test.test_server_fail ON CLUSTER 'cluster'"
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)
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def test_simple_alters(test_cluster):
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instance = test_cluster.instances["ch2"]
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS merge ON CLUSTER '{cluster}'"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS all_merge_32 ON CLUSTER '{cluster}'"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS all_merge_64 ON CLUSTER '{cluster}'"
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)
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test_cluster.ddl_check_query(
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instance,
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"""
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CREATE TABLE IF NOT EXISTS merge ON CLUSTER '{cluster}' (p Date, i Int32)
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ENGINE = MergeTree(p, p, 1)
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""",
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)
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test_cluster.ddl_check_query(
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instance,
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"""
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CREATE TABLE IF NOT EXISTS all_merge_32 ON CLUSTER '{cluster}' (p Date, i Int32)
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ENGINE = Distributed('{cluster}', default, merge, i)
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""",
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)
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test_cluster.ddl_check_query(
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instance,
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"""
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CREATE TABLE IF NOT EXISTS all_merge_64 ON CLUSTER '{cluster}' (p Date, i Int64, s String)
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ENGINE = Distributed('{cluster}', default, merge, i)
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""",
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)
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for i in range(0, 4, 2):
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k = (i / 2) * 2
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test_cluster.instances["ch{}".format(i + 1)].query(
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"INSERT INTO merge (i) VALUES ({})({})".format(k, k + 1)
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)
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assert TSV(instance.query("SELECT i FROM all_merge_32 ORDER BY i")) == TSV(
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"".join(["{}\n".format(x) for x in range(4)])
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)
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time.sleep(5)
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test_cluster.ddl_check_query(
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instance, "ALTER TABLE merge ON CLUSTER '{cluster}' MODIFY COLUMN i Int64"
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)
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time.sleep(5)
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test_cluster.ddl_check_query(
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instance,
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"ALTER TABLE merge ON CLUSTER '{cluster}' ADD COLUMN s String DEFAULT toString(i) FORMAT TSV",
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)
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assert TSV(instance.query("SELECT i, s FROM all_merge_64 ORDER BY i")) == TSV(
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"".join(["{}\t{}\n".format(x, x) for x in range(4)])
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)
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for i in range(0, 4, 2):
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k = (i / 2) * 2 + 4
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test_cluster.instances["ch{}".format(i + 1)].query(
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"INSERT INTO merge (p, i) VALUES (31, {})(31, {})".format(k, k + 1)
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)
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assert TSV(instance.query("SELECT i, s FROM all_merge_64 ORDER BY i")) == TSV(
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"".join(["{}\t{}\n".format(x, x) for x in range(8)])
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)
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test_cluster.ddl_check_query(
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instance, "ALTER TABLE merge ON CLUSTER '{cluster}' DETACH PARTITION 197002"
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)
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assert TSV(instance.query("SELECT i, s FROM all_merge_64 ORDER BY i")) == TSV(
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"".join(["{}\t{}\n".format(x, x) for x in range(4)])
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)
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test_cluster.ddl_check_query(instance, "DROP TABLE merge ON CLUSTER '{cluster}'")
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test_cluster.ddl_check_query(
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instance, "DROP TABLE all_merge_32 ON CLUSTER '{cluster}'"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE all_merge_64 ON CLUSTER '{cluster}'"
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)
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def test_macro(test_cluster):
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instance = test_cluster.instances["ch2"]
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE tab ON CLUSTER '{cluster}' (value UInt8) ENGINE = Memory",
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)
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for i in range(4):
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test_cluster.insert_reliable(
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test_cluster.instances["ch{}".format(i + 1)],
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"INSERT INTO tab VALUES ({})".format(i),
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE distr ON CLUSTER '{cluster}' (value UInt8) ENGINE = Distributed('{cluster}', 'default', 'tab', value % 4)",
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)
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assert TSV(instance.query("SELECT value FROM distr ORDER BY value")) == TSV(
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"0\n1\n2\n3\n"
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)
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assert TSV(
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test_cluster.instances["ch3"].query("SELECT value FROM distr ORDER BY value")
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) == TSV("0\n1\n2\n3\n")
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS distr ON CLUSTER '{cluster}'"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS tab ON CLUSTER '{cluster}'"
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)
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def test_implicit_macros(test_cluster):
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# Temporarily disable random ZK packet drops, they might broke creation if ReplicatedMergeTree replicas
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firewall_drops_rules = test_cluster.pm_random_drops.pop_rules()
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instance = test_cluster.instances["ch2"]
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test_cluster.ddl_check_query(
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instance, "DROP DATABASE IF EXISTS test_db ON CLUSTER '{cluster}' SYNC"
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)
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test_cluster.ddl_check_query(
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instance, "CREATE DATABASE IF NOT EXISTS test_db ON CLUSTER '{cluster}'"
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)
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test_cluster.ddl_check_query(
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instance,
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"""
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CREATE TABLE IF NOT EXISTS test_db.test_macro ON CLUSTER '{cluster}' (p Date, i Int32)
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ENGINE = ReplicatedMergeTree('/clickhouse/tables/{database}/{layer}-{shard}/{table}', '{replica}', p, p, 1)
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""",
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)
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# Check that table was created at correct path in zookeeper
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assert (
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test_cluster.get_kazoo_client("zoo1").exists(
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"/clickhouse/tables/test_db/0-1/test_macro"
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)
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is not None
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)
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# Enable random ZK packet drops
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test_cluster.pm_random_drops.push_rules(firewall_drops_rules)
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def test_allowed_databases(test_cluster):
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instance = test_cluster.instances["ch2"]
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instance.query("CREATE DATABASE IF NOT EXISTS db1 ON CLUSTER cluster")
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instance.query("CREATE DATABASE IF NOT EXISTS db2 ON CLUSTER cluster")
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instance.query(
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"CREATE TABLE db1.t1 ON CLUSTER cluster (i Int8) ENGINE = Memory",
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settings={"user": "restricted_user"},
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)
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with pytest.raises(Exception):
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instance.query(
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"CREATE TABLE db2.t2 ON CLUSTER cluster (i Int8) ENGINE = Memory",
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settings={"user": "restricted_user"},
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)
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with pytest.raises(Exception):
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instance.query(
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"CREATE TABLE t3 ON CLUSTER cluster (i Int8) ENGINE = Memory",
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settings={"user": "restricted_user"},
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)
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with pytest.raises(Exception):
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instance.query(
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"DROP DATABASE db2 ON CLUSTER cluster", settings={"user": "restricted_user"}
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)
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instance.query(
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"DROP DATABASE db1 ON CLUSTER cluster", settings={"user": "restricted_user"}
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)
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def test_kill_query(test_cluster):
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instance = test_cluster.instances["ch3"]
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test_cluster.ddl_check_query(
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instance, "KILL QUERY ON CLUSTER 'cluster' WHERE NOT elapsed FORMAT TSV"
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)
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def test_detach_query(test_cluster):
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instance = test_cluster.instances["ch3"]
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test_attach ON CLUSTER cluster FORMAT TSV"
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)
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test_cluster.ddl_check_query(
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instance, "CREATE TABLE test_attach ON CLUSTER cluster (i Int8)ENGINE = Log"
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)
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test_cluster.ddl_check_query(
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instance, "DETACH TABLE test_attach ON CLUSTER cluster FORMAT TSV"
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)
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test_cluster.ddl_check_query(
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instance, "ATTACH TABLE test_attach ON CLUSTER cluster"
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)
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def test_optimize_query(test_cluster):
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instance = test_cluster.instances["ch3"]
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test_optimize ON CLUSTER cluster FORMAT TSV"
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE test_optimize ON CLUSTER cluster (p Date, i Int32) ENGINE = MergeTree(p, p, 8192)",
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)
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test_cluster.ddl_check_query(
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instance, "OPTIMIZE TABLE test_optimize ON CLUSTER cluster FORMAT TSV"
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)
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def test_create_as_select(test_cluster):
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instance = test_cluster.instances["ch2"]
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE test_as_select ON CLUSTER cluster ENGINE = Memory AS (SELECT 1 AS x UNION ALL SELECT 2 AS x)",
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)
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assert TSV(instance.query("SELECT x FROM test_as_select ORDER BY x")) == TSV(
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"1\n2\n"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test_as_select ON CLUSTER cluster"
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)
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def test_create_reserved(test_cluster):
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instance = test_cluster.instances["ch2"]
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE test_reserved ON CLUSTER cluster (`p` Date, `image` Nullable(String), `index` Nullable(Float64), `invalidate` Nullable(Int64)) ENGINE = MergeTree(`p`, `p`, 8192)",
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE test_as_reserved ON CLUSTER cluster ENGINE = Memory AS (SELECT * from test_reserved)",
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test_reserved ON CLUSTER cluster"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS test_as_reserved ON CLUSTER cluster"
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)
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def test_rename(test_cluster):
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instance = test_cluster.instances["ch1"]
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rules = test_cluster.pm_random_drops.pop_rules()
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS rename_shard ON CLUSTER cluster SYNC"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS rename_new ON CLUSTER cluster SYNC"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS rename_old ON CLUSTER cluster SYNC"
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)
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test_cluster.ddl_check_query(
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instance, "DROP TABLE IF EXISTS rename ON CLUSTER cluster SYNC"
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE rename_shard ON CLUSTER cluster (id Int64, sid String DEFAULT concat('old', toString(id))) ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/staging/test_shard', '{replica}') ORDER BY (id)",
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)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE rename_new ON CLUSTER cluster AS rename_shard ENGINE = Distributed(cluster, default, rename_shard, id % 2)",
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)
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test_cluster.ddl_check_query(
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instance, "RENAME TABLE rename_new TO rename ON CLUSTER cluster;"
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)
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for i in range(10):
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instance.query("insert into rename (id) values ({})".format(i))
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# FIXME ddl_check_query doesn't work for replicated DDDL if replace_hostnames_with_ips=True
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# because replicas use wrong host name of leader (and wrong path in zk) to check if it has executed query
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# so ddl query will always fail on some replicas even if query was actually executed by leader
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# Also such inconsistency in cluster configuration may lead to query duplication if leader suddenly changed
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# because path of lock in zk contains shard name, which is list of host names of replicas
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instance.query(
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"ALTER TABLE rename_shard ON CLUSTER cluster MODIFY COLUMN sid String DEFAULT concat('new', toString(id))",
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ignore_error=True,
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)
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time.sleep(1)
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test_cluster.ddl_check_query(
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instance,
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"CREATE TABLE rename_new ON CLUSTER cluster AS rename_shard ENGINE = Distributed(cluster, default, rename_shard, id % 2)",
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)
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instance.query("system stop distributed sends rename")
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for i in range(10, 20):
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instance.query("insert into rename (id) values ({})".format(i))
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test_cluster.ddl_check_query(
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instance,
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"RENAME TABLE rename TO rename_old, rename_new TO rename ON CLUSTER cluster",
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)
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for i in range(20, 30):
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instance.query("insert into rename (id) values ({})".format(i))
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instance.query("system flush distributed rename")
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for name in ["ch1", "ch2", "ch3", "ch4"]:
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test_cluster.instances[name].query("system sync replica rename_shard")
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# system stop distributed sends does not affect inserts into local shard,
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# so some ids in range (10, 20) will be inserted into rename_shard
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assert instance.query("select count(id), sum(id) from rename").rstrip() == "25\t360"
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# assert instance.query("select count(id), sum(id) from rename").rstrip() == "20\t290"
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assert (
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instance.query(
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"select count(id), sum(id) from rename where sid like 'old%'"
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).rstrip()
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== "15\t115"
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)
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# assert instance.query("select count(id), sum(id) from rename where sid like 'old%'").rstrip() == "10\t45"
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assert (
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instance.query(
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"select count(id), sum(id) from rename where sid like 'new%'"
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).rstrip()
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== "10\t245"
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)
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test_cluster.pm_random_drops.push_rules(rules)
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|
|
def test_socket_timeout(test_cluster):
|
|
instance = test_cluster.instances["ch1"]
|
|
# queries should not fail with "Timeout exceeded while reading from socket" in case of EINTR caused by query profiler
|
|
for i in range(0, 100):
|
|
instance.query(
|
|
"select hostName() as host, count() from cluster('cluster', 'system', 'settings') group by host"
|
|
)
|
|
|
|
|
|
def test_replicated_without_arguments(test_cluster):
|
|
rules = test_cluster.pm_random_drops.pop_rules()
|
|
instance = test_cluster.instances["ch1"]
|
|
test_cluster.ddl_check_query(
|
|
instance, "DROP TABLE IF EXISTS test_atomic.rmt ON CLUSTER cluster SYNC"
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance, "DROP DATABASE IF EXISTS test_atomic ON CLUSTER cluster SYNC"
|
|
)
|
|
|
|
test_cluster.ddl_check_query(
|
|
instance, "CREATE DATABASE test_atomic ON CLUSTER cluster ENGINE=Atomic"
|
|
)
|
|
assert (
|
|
"are supported only for ON CLUSTER queries with Atomic database engine"
|
|
in instance.query_and_get_error(
|
|
"CREATE TABLE test_atomic.rmt (n UInt64, s String) ENGINE=ReplicatedMergeTree ORDER BY n"
|
|
)
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_atomic.rmt ON CLUSTER cluster (n UInt64, s String) ENGINE=ReplicatedMergeTree() ORDER BY n",
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance, "DROP TABLE test_atomic.rmt ON CLUSTER cluster SYNC"
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_atomic.rmt UUID '12345678-0000-4000-8000-000000000001' ON CLUSTER cluster (n UInt64, s String) ENGINE=ReplicatedMergeTree ORDER BY n",
|
|
)
|
|
assert (
|
|
instance.query("SHOW CREATE test_atomic.rmt FORMAT TSVRaw")
|
|
== "CREATE TABLE test_atomic.rmt\n(\n `n` UInt64,\n `s` String\n)\nENGINE = ReplicatedMergeTree('/clickhouse/tables/{uuid}/{shard}', '{replica}')\nORDER BY n\nSETTINGS index_granularity = 8192\n"
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"RENAME TABLE test_atomic.rmt TO test_atomic.rmt_renamed ON CLUSTER cluster",
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_atomic.rmt ON CLUSTER cluster (n UInt64, s String) ENGINE=ReplicatedMergeTree('/clickhouse/tables/{uuid}/{shard}', '{replica}') ORDER BY n",
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"EXCHANGE TABLES test_atomic.rmt AND test_atomic.rmt_renamed ON CLUSTER cluster",
|
|
)
|
|
assert (
|
|
instance.query(
|
|
"SELECT countDistinct(uuid) from clusterAllReplicas('cluster', 'system', 'databases') WHERE uuid != '00000000-0000-0000-0000-000000000000' AND name='test_atomic'"
|
|
)
|
|
== "1\n"
|
|
)
|
|
assert (
|
|
instance.query(
|
|
"SELECT countDistinct(uuid) from clusterAllReplicas('cluster', 'system', 'tables') WHERE uuid != '00000000-0000-0000-0000-000000000000' AND name='rmt'"
|
|
)
|
|
== "1\n"
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_atomic.rrmt ON CLUSTER cluster (n UInt64, m UInt64) ENGINE=ReplicatedReplacingMergeTree(m) ORDER BY n",
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_atomic.rsmt ON CLUSTER cluster (n UInt64, m UInt64, k UInt64) ENGINE=ReplicatedSummingMergeTree((m, k)) ORDER BY n",
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_atomic.rvcmt ON CLUSTER cluster (n UInt64, m Int8, k UInt64) ENGINE=ReplicatedVersionedCollapsingMergeTree(m, k) ORDER BY n",
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance, "DROP DATABASE test_atomic ON CLUSTER cluster SYNC"
|
|
)
|
|
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE DATABASE test_ordinary ON CLUSTER cluster ENGINE=Ordinary",
|
|
settings={"allow_deprecated_database_ordinary": 1},
|
|
)
|
|
assert (
|
|
"are supported only for ON CLUSTER queries with Atomic database engine"
|
|
in instance.query_and_get_error(
|
|
"CREATE TABLE test_ordinary.rmt ON CLUSTER cluster (n UInt64, s String) ENGINE=ReplicatedMergeTree ORDER BY n"
|
|
)
|
|
)
|
|
assert (
|
|
"are supported only for ON CLUSTER queries with Atomic database engine"
|
|
in instance.query_and_get_error(
|
|
"CREATE TABLE test_ordinary.rmt ON CLUSTER cluster (n UInt64, s String) ENGINE=ReplicatedMergeTree('/{shard}/{uuid}/', '{replica}') ORDER BY n"
|
|
)
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance,
|
|
"CREATE TABLE test_ordinary.rmt ON CLUSTER cluster (n UInt64, s String) ENGINE=ReplicatedMergeTree('/{shard}/{table}/', '{replica}') ORDER BY n",
|
|
)
|
|
assert (
|
|
instance.query("SHOW CREATE test_ordinary.rmt FORMAT TSVRaw")
|
|
== "CREATE TABLE test_ordinary.rmt\n(\n `n` UInt64,\n `s` String\n)\nENGINE = ReplicatedMergeTree('/{shard}/rmt/', '{replica}')\nORDER BY n\nSETTINGS index_granularity = 8192\n"
|
|
)
|
|
test_cluster.ddl_check_query(
|
|
instance, "DROP DATABASE test_ordinary ON CLUSTER cluster SYNC"
|
|
)
|
|
test_cluster.pm_random_drops.push_rules(rules)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
with contextmanager(test_cluster)() as ctx_cluster:
|
|
for name, instance in list(ctx_cluster.instances.items()):
|
|
print(name, instance.ip_address)
|
|
input("Cluster created, press any key to destroy...")
|