2021-05-17 14:12:47 +00:00
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import datetime
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2020-10-19 12:20:45 +00:00
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import logging
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import time
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import pytest
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from helpers.cluster import ClickHouseCluster
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logging.getLogger().setLevel(logging.INFO)
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logging.getLogger().addHandler(logging.StreamHandler())
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@pytest.fixture(scope="module")
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def cluster():
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try:
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cluster = ClickHouseCluster(__file__)
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2022-03-22 16:39:58 +00:00
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cluster.add_instance(
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"node1",
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main_configs=["configs/config.d/s3.xml"],
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macros={"replica": "1"},
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with_minio=True,
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with_zookeeper=True,
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)
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cluster.add_instance(
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"node2",
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main_configs=["configs/config.d/s3.xml"],
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macros={"replica": "2"},
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with_minio=True,
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with_zookeeper=True,
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)
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2020-10-19 12:20:45 +00:00
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logging.info("Starting cluster...")
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cluster.start()
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logging.info("Cluster started")
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yield cluster
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finally:
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cluster.shutdown()
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2022-03-22 16:39:58 +00:00
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def get_large_objects_count(cluster, size=100, folder="data"):
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2020-10-19 12:20:45 +00:00
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minio = cluster.minio_client
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counter = 0
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2022-09-05 00:13:51 +00:00
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for obj in minio.list_objects(cluster.minio_bucket, "{}/".format(folder), recursive=True):
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2021-11-18 18:14:46 +00:00
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if obj.size is not None and obj.size >= size:
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2020-10-19 12:20:45 +00:00
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counter = counter + 1
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return counter
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2022-03-22 16:39:58 +00:00
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def check_objects_exisis(cluster, object_list, folder="data"):
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2021-11-18 18:14:46 +00:00
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minio = cluster.minio_client
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for obj in object_list:
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if obj:
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2022-03-22 16:39:58 +00:00
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minio.stat_object(cluster.minio_bucket, "{}/{}".format(folder, obj))
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2021-11-18 18:14:46 +00:00
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2022-03-22 16:39:58 +00:00
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def check_objects_not_exisis(cluster, object_list, folder="data"):
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2021-11-18 18:14:46 +00:00
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minio = cluster.minio_client
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for obj in object_list:
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if obj:
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try:
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2022-03-22 16:39:58 +00:00
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minio.stat_object(cluster.minio_bucket, "{}/{}".format(folder, obj))
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2021-11-18 18:14:46 +00:00
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except Exception as error:
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assert "NoSuchKey" in str(error)
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else:
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assert False, "Object {} should not be exists".format(obj)
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2021-04-16 10:23:38 +00:00
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def wait_for_large_objects_count(cluster, expected, size=100, timeout=30):
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while timeout > 0:
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2021-05-17 13:01:08 +00:00
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if get_large_objects_count(cluster, size=size) == expected:
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2021-04-16 10:23:38 +00:00
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return
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timeout -= 1
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time.sleep(1)
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2021-05-17 13:01:08 +00:00
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assert get_large_objects_count(cluster, size=size) == expected
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2021-04-16 10:23:38 +00:00
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2021-12-13 13:34:04 +00:00
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def wait_for_active_parts(node, num_expected_parts, table_name, timeout=30):
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deadline = time.monotonic() + timeout
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num_parts = 0
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while time.monotonic() < deadline:
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2022-03-22 16:39:58 +00:00
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num_parts_str = node.query(
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"select count() from system.parts where table = '{}' and active".format(
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table_name
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)
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)
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2021-12-13 13:34:04 +00:00
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num_parts = int(num_parts_str.strip())
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if num_parts == num_expected_parts:
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return
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time.sleep(0.2)
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assert num_parts == num_expected_parts
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2021-12-16 11:51:43 +00:00
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# Result of `get_large_objects_count` can be changed in other tests, so run this case at the beginning
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@pytest.mark.order(0)
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2022-03-22 16:39:58 +00:00
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@pytest.mark.parametrize("policy", ["s3"])
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2020-10-19 12:20:45 +00:00
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def test_s3_zero_copy_replication(cluster, policy):
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node1 = cluster.instances["node1"]
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node2 = cluster.instances["node2"]
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node1.query(
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"""
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CREATE TABLE s3_test ON CLUSTER test_cluster (id UInt32, value String)
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ENGINE=ReplicatedMergeTree('/clickhouse/tables/s3_test', '{}')
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ORDER BY id
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SETTINGS storage_policy='{}'
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2022-03-22 16:39:58 +00:00
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""".format(
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"{replica}", policy
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)
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2020-10-19 12:20:45 +00:00
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)
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node1.query("INSERT INTO s3_test VALUES (0,'data'),(1,'data')")
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2022-06-30 20:51:27 +00:00
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node2.query("SYSTEM SYNC REPLICA s3_test", timeout=30)
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2022-03-22 16:39:58 +00:00
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assert (
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node1.query("SELECT * FROM s3_test order by id FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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assert (
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node2.query("SELECT * FROM s3_test order by id FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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2020-10-19 12:20:45 +00:00
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2021-09-20 13:09:20 +00:00
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# Based on version 21.x - should be only 1 file with size 100+ (checksums.txt), used by both nodes
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2020-10-19 12:20:45 +00:00
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assert get_large_objects_count(cluster) == 1
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node2.query("INSERT INTO s3_test VALUES (2,'data'),(3,'data')")
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2022-06-30 20:51:27 +00:00
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node1.query("SYSTEM SYNC REPLICA s3_test", timeout=30)
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2021-05-17 14:12:47 +00:00
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2022-03-22 16:39:58 +00:00
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assert (
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node2.query("SELECT * FROM s3_test order by id FORMAT Values")
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== "(0,'data'),(1,'data'),(2,'data'),(3,'data')"
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)
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assert (
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node1.query("SELECT * FROM s3_test order by id FORMAT Values")
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== "(0,'data'),(1,'data'),(2,'data'),(3,'data')"
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)
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2020-10-19 12:20:45 +00:00
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2021-08-02 15:42:16 +00:00
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# Based on version 21.x - two parts
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2021-04-16 10:23:38 +00:00
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wait_for_large_objects_count(cluster, 2)
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2020-10-19 12:20:45 +00:00
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2021-04-08 18:27:56 +00:00
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node1.query("OPTIMIZE TABLE s3_test FINAL")
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2020-10-19 12:20:45 +00:00
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2021-08-02 15:42:16 +00:00
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# Based on version 21.x - after merge, two old parts and one merged
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2021-04-16 10:23:38 +00:00
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wait_for_large_objects_count(cluster, 3)
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2020-10-19 12:20:45 +00:00
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2021-08-02 15:42:16 +00:00
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# Based on version 21.x - after cleanup - only one merged part
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2021-04-16 10:23:38 +00:00
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wait_for_large_objects_count(cluster, 1, timeout=60)
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2020-10-19 12:20:45 +00:00
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node1.query("DROP TABLE IF EXISTS s3_test NO DELAY")
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node2.query("DROP TABLE IF EXISTS s3_test NO DELAY")
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2021-03-30 17:38:04 +00:00
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2022-07-15 10:44:37 +00:00
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@pytest.mark.skip(reason="Test is flaky (and never was stable)")
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2021-03-30 17:38:04 +00:00
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def test_s3_zero_copy_on_hybrid_storage(cluster):
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node1 = cluster.instances["node1"]
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node2 = cluster.instances["node2"]
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node1.query(
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"""
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CREATE TABLE hybrid_test ON CLUSTER test_cluster (id UInt32, value String)
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2021-04-01 13:40:52 +00:00
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ENGINE=ReplicatedMergeTree('/clickhouse/tables/hybrid_test', '{}')
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2021-03-30 17:38:04 +00:00
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ORDER BY id
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SETTINGS storage_policy='hybrid'
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2022-03-22 16:39:58 +00:00
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""".format(
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"{replica}"
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)
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2021-03-30 17:38:04 +00:00
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)
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node1.query("INSERT INTO hybrid_test VALUES (0,'data'),(1,'data')")
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2022-06-30 20:51:27 +00:00
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node2.query("SYSTEM SYNC REPLICA hybrid_test", timeout=30)
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2021-03-30 17:38:04 +00:00
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2022-03-22 16:39:58 +00:00
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assert (
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node1.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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assert (
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node2.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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2021-03-30 17:38:04 +00:00
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2022-03-22 16:39:58 +00:00
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assert (
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node1.query(
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"SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values"
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)
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== "('all','default')"
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)
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assert (
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node2.query(
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"SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values"
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)
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== "('all','default')"
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)
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2021-03-30 17:38:04 +00:00
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node1.query("ALTER TABLE hybrid_test MOVE PARTITION ID 'all' TO DISK 's31'")
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2022-03-22 16:39:58 +00:00
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assert (
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node1.query(
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"SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values"
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)
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== "('all','s31')"
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)
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assert (
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node2.query(
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"SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values"
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)
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== "('all','default')"
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)
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2021-03-30 17:38:04 +00:00
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# Total objects in S3
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2021-04-08 18:27:56 +00:00
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s3_objects = get_large_objects_count(cluster, size=0)
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2021-03-30 17:38:04 +00:00
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node2.query("ALTER TABLE hybrid_test MOVE PARTITION ID 'all' TO DISK 's31'")
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2022-03-22 16:39:58 +00:00
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assert (
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node1.query(
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"SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values"
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)
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== "('all','s31')"
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)
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assert (
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node2.query(
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"SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values"
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)
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== "('all','s31')"
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)
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2021-03-30 17:38:04 +00:00
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# Check that after moving partition on node2 no new obects on s3
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2021-04-16 10:23:38 +00:00
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wait_for_large_objects_count(cluster, s3_objects, size=0)
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2021-03-30 17:38:04 +00:00
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2022-03-22 16:39:58 +00:00
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assert (
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node1.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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assert (
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node2.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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2021-04-01 13:40:52 +00:00
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node1.query("DROP TABLE IF EXISTS hybrid_test NO DELAY")
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node2.query("DROP TABLE IF EXISTS hybrid_test NO DELAY")
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2021-04-08 18:27:56 +00:00
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2021-05-17 14:12:47 +00:00
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def insert_data_time(node, table, number_of_mb, time, start=0):
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2022-03-22 16:39:58 +00:00
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values = ",".join(
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f"({x},{time})"
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for x in range(start, int((1024 * 1024 * number_of_mb) / 8) + start + 1)
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)
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2021-05-17 14:12:47 +00:00
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node.query(f"INSERT INTO {table} VALUES {values}")
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def insert_large_data(node, table):
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tm = time.mktime((datetime.date.today() - datetime.timedelta(days=7)).timetuple())
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insert_data_time(node, table, 1, tm, 0)
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tm = time.mktime((datetime.date.today() - datetime.timedelta(days=3)).timetuple())
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2022-03-22 16:39:58 +00:00
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insert_data_time(node, table, 1, tm, 1024 * 1024)
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2021-05-17 14:12:47 +00:00
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tm = time.mktime(datetime.date.today().timetuple())
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2022-03-22 16:39:58 +00:00
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insert_data_time(node, table, 10, tm, 1024 * 1024 * 2)
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2021-05-17 14:12:47 +00:00
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2021-04-08 18:27:56 +00:00
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@pytest.mark.parametrize(
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2021-05-24 13:05:11 +00:00
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("storage_policy", "large_data", "iterations"),
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2021-05-17 14:12:47 +00:00
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[
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2021-05-24 13:05:11 +00:00
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("tiered", False, 10),
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("tiered_copy", False, 10),
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("tiered", True, 3),
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("tiered_copy", True, 3),
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2022-03-22 16:39:58 +00:00
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],
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2021-04-08 18:27:56 +00:00
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)
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2021-05-24 13:05:11 +00:00
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def test_s3_zero_copy_with_ttl_move(cluster, storage_policy, large_data, iterations):
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2021-04-08 18:27:56 +00:00
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node1 = cluster.instances["node1"]
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node2 = cluster.instances["node2"]
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node1.query("DROP TABLE IF EXISTS ttl_move_test NO DELAY")
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node2.query("DROP TABLE IF EXISTS ttl_move_test NO DELAY")
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2021-05-24 13:05:11 +00:00
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for i in range(iterations):
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2021-04-08 18:27:56 +00:00
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node1.query(
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"""
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CREATE TABLE ttl_move_test ON CLUSTER test_cluster (d UInt64, d1 DateTime)
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ENGINE=ReplicatedMergeTree('/clickhouse/tables/ttl_move_test', '{}')
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ORDER BY d
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TTL d1 + INTERVAL 2 DAY TO VOLUME 'external'
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SETTINGS storage_policy='{}'
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2022-03-22 16:39:58 +00:00
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""".format(
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"{replica}", storage_policy
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)
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2021-04-08 18:27:56 +00:00
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)
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2021-05-17 14:12:47 +00:00
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if large_data:
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2022-03-22 16:39:58 +00:00
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insert_large_data(node1, "ttl_move_test")
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2021-05-17 14:12:47 +00:00
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else:
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node1.query("INSERT INTO ttl_move_test VALUES (10, now() - INTERVAL 3 DAY)")
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node1.query("INSERT INTO ttl_move_test VALUES (11, now() - INTERVAL 1 DAY)")
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2021-04-08 18:27:56 +00:00
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|
node1.query("OPTIMIZE TABLE ttl_move_test FINAL")
|
2022-06-30 20:51:27 +00:00
|
|
|
node2.query("SYSTEM SYNC REPLICA ttl_move_test", timeout=30)
|
2021-04-08 18:27:56 +00:00
|
|
|
|
2021-05-17 14:12:47 +00:00
|
|
|
if large_data:
|
2022-03-22 16:39:58 +00:00
|
|
|
assert (
|
|
|
|
node1.query("SELECT count() FROM ttl_move_test FORMAT Values")
|
|
|
|
== "(1572867)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node2.query("SELECT count() FROM ttl_move_test FORMAT Values")
|
|
|
|
== "(1572867)"
|
|
|
|
)
|
2021-05-17 14:12:47 +00:00
|
|
|
else:
|
2022-03-22 16:39:58 +00:00
|
|
|
assert (
|
|
|
|
node1.query("SELECT count() FROM ttl_move_test FORMAT Values") == "(2)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node2.query("SELECT count() FROM ttl_move_test FORMAT Values") == "(2)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node1.query("SELECT d FROM ttl_move_test ORDER BY d FORMAT Values")
|
|
|
|
== "(10),(11)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node2.query("SELECT d FROM ttl_move_test ORDER BY d FORMAT Values")
|
|
|
|
== "(10),(11)"
|
|
|
|
)
|
2021-04-08 18:27:56 +00:00
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS ttl_move_test NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS ttl_move_test NO DELAY")
|
|
|
|
|
|
|
|
|
2021-05-17 14:12:47 +00:00
|
|
|
@pytest.mark.parametrize(
|
2021-05-24 13:05:11 +00:00
|
|
|
("large_data", "iterations"),
|
2021-05-17 14:12:47 +00:00
|
|
|
[
|
2021-05-24 13:05:11 +00:00
|
|
|
(False, 10),
|
|
|
|
(True, 3),
|
2022-03-22 16:39:58 +00:00
|
|
|
],
|
2021-05-17 14:12:47 +00:00
|
|
|
)
|
2021-05-24 13:05:11 +00:00
|
|
|
def test_s3_zero_copy_with_ttl_delete(cluster, large_data, iterations):
|
2021-04-08 18:27:56 +00:00
|
|
|
node1 = cluster.instances["node1"]
|
|
|
|
node2 = cluster.instances["node2"]
|
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
|
|
|
|
|
2021-05-24 13:05:11 +00:00
|
|
|
for i in range(iterations):
|
2021-04-08 18:27:56 +00:00
|
|
|
node1.query(
|
|
|
|
"""
|
|
|
|
CREATE TABLE ttl_delete_test ON CLUSTER test_cluster (d UInt64, d1 DateTime)
|
|
|
|
ENGINE=ReplicatedMergeTree('/clickhouse/tables/ttl_delete_test', '{}')
|
|
|
|
ORDER BY d
|
|
|
|
TTL d1 + INTERVAL 2 DAY
|
|
|
|
SETTINGS storage_policy='tiered'
|
2022-03-22 16:39:58 +00:00
|
|
|
""".format(
|
|
|
|
"{replica}"
|
|
|
|
)
|
2021-04-08 18:27:56 +00:00
|
|
|
)
|
|
|
|
|
2021-05-17 14:12:47 +00:00
|
|
|
if large_data:
|
2022-03-22 16:39:58 +00:00
|
|
|
insert_large_data(node1, "ttl_delete_test")
|
2021-05-17 14:12:47 +00:00
|
|
|
else:
|
2022-03-22 16:39:58 +00:00
|
|
|
node1.query(
|
|
|
|
"INSERT INTO ttl_delete_test VALUES (10, now() - INTERVAL 3 DAY)"
|
|
|
|
)
|
|
|
|
node1.query(
|
|
|
|
"INSERT INTO ttl_delete_test VALUES (11, now() - INTERVAL 1 DAY)"
|
|
|
|
)
|
2021-04-08 18:27:56 +00:00
|
|
|
|
|
|
|
node1.query("OPTIMIZE TABLE ttl_delete_test FINAL")
|
2022-03-24 17:25:16 +00:00
|
|
|
|
2022-06-30 20:51:27 +00:00
|
|
|
node1.query("SYSTEM SYNC REPLICA ttl_delete_test", timeout=30)
|
|
|
|
node2.query("SYSTEM SYNC REPLICA ttl_delete_test", timeout=30)
|
2021-05-17 14:12:47 +00:00
|
|
|
|
|
|
|
if large_data:
|
2022-03-22 16:39:58 +00:00
|
|
|
assert (
|
|
|
|
node1.query("SELECT count() FROM ttl_delete_test FORMAT Values")
|
|
|
|
== "(1310721)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node2.query("SELECT count() FROM ttl_delete_test FORMAT Values")
|
|
|
|
== "(1310721)"
|
|
|
|
)
|
2021-05-17 14:12:47 +00:00
|
|
|
else:
|
2022-03-22 16:39:58 +00:00
|
|
|
assert (
|
|
|
|
node1.query("SELECT count() FROM ttl_delete_test FORMAT Values")
|
|
|
|
== "(1)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node2.query("SELECT count() FROM ttl_delete_test FORMAT Values")
|
|
|
|
== "(1)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node1.query("SELECT d FROM ttl_delete_test ORDER BY d FORMAT Values")
|
|
|
|
== "(11)"
|
|
|
|
)
|
|
|
|
assert (
|
|
|
|
node2.query("SELECT d FROM ttl_delete_test ORDER BY d FORMAT Values")
|
|
|
|
== "(11)"
|
|
|
|
)
|
2021-04-08 18:27:56 +00:00
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
|
2021-11-18 18:14:46 +00:00
|
|
|
|
|
|
|
|
2021-12-01 13:12:40 +00:00
|
|
|
def wait_mutations(node, table, seconds):
|
2021-12-17 11:03:20 +00:00
|
|
|
time.sleep(1)
|
2021-12-01 13:12:40 +00:00
|
|
|
while seconds > 0:
|
|
|
|
seconds -= 1
|
2022-03-22 16:39:58 +00:00
|
|
|
mutations = node.query(
|
|
|
|
f"SELECT count() FROM system.mutations WHERE table='{table}' AND is_done=0"
|
|
|
|
)
|
|
|
|
if mutations == "0\n":
|
2021-12-01 13:12:40 +00:00
|
|
|
return
|
|
|
|
time.sleep(1)
|
2022-03-22 16:39:58 +00:00
|
|
|
mutations = node.query(
|
|
|
|
f"SELECT count() FROM system.mutations WHERE table='{table}' AND is_done=0"
|
|
|
|
)
|
|
|
|
assert mutations == "0\n"
|
2021-12-01 13:12:40 +00:00
|
|
|
|
|
|
|
|
2022-06-08 12:09:59 +00:00
|
|
|
def s3_zero_copy_unfreeze_base(cluster, unfreeze_query_template):
|
2021-11-18 18:14:46 +00:00
|
|
|
node1 = cluster.instances["node1"]
|
|
|
|
node2 = cluster.instances["node2"]
|
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS unfreeze_test NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS unfreeze_test NO DELAY")
|
|
|
|
|
|
|
|
node1.query(
|
|
|
|
"""
|
|
|
|
CREATE TABLE unfreeze_test ON CLUSTER test_cluster (d UInt64)
|
|
|
|
ENGINE=ReplicatedMergeTree('/clickhouse/tables/unfreeze_test', '{}')
|
|
|
|
ORDER BY d
|
|
|
|
SETTINGS storage_policy='s3'
|
2022-03-22 16:39:58 +00:00
|
|
|
""".format(
|
|
|
|
"{replica}"
|
|
|
|
)
|
2021-11-18 18:14:46 +00:00
|
|
|
)
|
|
|
|
|
|
|
|
node1.query("INSERT INTO unfreeze_test VALUES (0)")
|
|
|
|
|
2021-12-01 13:12:40 +00:00
|
|
|
node1.query("ALTER TABLE unfreeze_test FREEZE WITH NAME 'freeze_backup1'")
|
|
|
|
node2.query("ALTER TABLE unfreeze_test FREEZE WITH NAME 'freeze_backup2'")
|
|
|
|
wait_mutations(node1, "unfreeze_test", 10)
|
|
|
|
wait_mutations(node2, "unfreeze_test", 10)
|
2021-11-18 18:14:46 +00:00
|
|
|
|
2021-12-01 13:12:40 +00:00
|
|
|
objects01 = node1.get_backuped_s3_objects("s31", "freeze_backup1")
|
|
|
|
objects02 = node2.get_backuped_s3_objects("s31", "freeze_backup2")
|
2021-11-18 18:14:46 +00:00
|
|
|
|
|
|
|
assert objects01 == objects02
|
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects01)
|
|
|
|
|
|
|
|
node1.query("TRUNCATE TABLE unfreeze_test")
|
2022-06-30 20:51:27 +00:00
|
|
|
node2.query("SYSTEM SYNC REPLICA unfreeze_test", timeout=30)
|
2021-11-18 18:14:46 +00:00
|
|
|
|
2021-12-01 13:12:40 +00:00
|
|
|
objects11 = node1.get_backuped_s3_objects("s31", "freeze_backup1")
|
|
|
|
objects12 = node2.get_backuped_s3_objects("s31", "freeze_backup2")
|
2021-11-18 18:14:46 +00:00
|
|
|
|
|
|
|
assert objects01 == objects11
|
|
|
|
assert objects01 == objects12
|
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects11)
|
|
|
|
|
2022-06-08 12:09:59 +00:00
|
|
|
node1.query(f"{unfreeze_query_template} 'freeze_backup1'")
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node1, "unfreeze_test", 10)
|
2021-11-18 18:14:46 +00:00
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects12)
|
|
|
|
|
2022-06-08 12:09:59 +00:00
|
|
|
node2.query(f"{unfreeze_query_template} 'freeze_backup2'")
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node2, "unfreeze_test", 10)
|
2021-11-18 18:14:46 +00:00
|
|
|
|
|
|
|
check_objects_not_exisis(cluster, objects12)
|
2021-12-01 13:12:40 +00:00
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS unfreeze_test NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS unfreeze_test NO DELAY")
|
|
|
|
|
|
|
|
|
2022-06-08 12:09:59 +00:00
|
|
|
def test_s3_zero_copy_unfreeze_alter(cluster):
|
|
|
|
s3_zero_copy_unfreeze_base(cluster, "ALTER TABLE unfreeze_test UNFREEZE WITH NAME")
|
|
|
|
|
|
|
|
|
|
|
|
def test_s3_zero_copy_unfreeze_system(cluster):
|
|
|
|
s3_zero_copy_unfreeze_base(cluster, "SYSTEM UNFREEZE WITH NAME")
|
|
|
|
|
|
|
|
|
|
|
|
def s3_zero_copy_drop_detached(cluster, unfreeze_query_template):
|
2021-12-01 13:12:40 +00:00
|
|
|
node1 = cluster.instances["node1"]
|
|
|
|
node2 = cluster.instances["node2"]
|
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS drop_detached_test NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS drop_detached_test NO DELAY")
|
|
|
|
|
|
|
|
node1.query(
|
|
|
|
"""
|
|
|
|
CREATE TABLE drop_detached_test ON CLUSTER test_cluster (d UInt64)
|
|
|
|
ENGINE=ReplicatedMergeTree('/clickhouse/tables/drop_detached_test', '{}')
|
|
|
|
ORDER BY d PARTITION BY d
|
|
|
|
SETTINGS storage_policy='s3'
|
2022-03-22 16:39:58 +00:00
|
|
|
""".format(
|
|
|
|
"{replica}"
|
|
|
|
)
|
2021-12-01 13:12:40 +00:00
|
|
|
)
|
|
|
|
|
|
|
|
node1.query("INSERT INTO drop_detached_test VALUES (0)")
|
|
|
|
node1.query("ALTER TABLE drop_detached_test FREEZE WITH NAME 'detach_backup1'")
|
|
|
|
node1.query("INSERT INTO drop_detached_test VALUES (1)")
|
|
|
|
node1.query("ALTER TABLE drop_detached_test FREEZE WITH NAME 'detach_backup2'")
|
2022-06-30 20:51:27 +00:00
|
|
|
node2.query("SYSTEM SYNC REPLICA drop_detached_test", timeout=30)
|
2021-12-01 13:12:40 +00:00
|
|
|
|
|
|
|
objects1 = node1.get_backuped_s3_objects("s31", "detach_backup1")
|
|
|
|
objects2 = node1.get_backuped_s3_objects("s31", "detach_backup2")
|
|
|
|
|
|
|
|
objects_diff = list(set(objects2) - set(objects1))
|
|
|
|
|
2022-06-08 12:09:59 +00:00
|
|
|
node1.query(f"{unfreeze_query_template} 'detach_backup2'")
|
|
|
|
node1.query(f"{unfreeze_query_template} 'detach_backup1'")
|
2021-12-01 13:12:40 +00:00
|
|
|
|
|
|
|
node1.query("ALTER TABLE drop_detached_test DETACH PARTITION '0'")
|
|
|
|
node1.query("ALTER TABLE drop_detached_test DETACH PARTITION '1'")
|
2022-06-30 20:51:27 +00:00
|
|
|
node2.query("SYSTEM SYNC REPLICA drop_detached_test", timeout=30)
|
2022-02-10 16:50:21 +00:00
|
|
|
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node1, "drop_detached_test", 10)
|
|
|
|
wait_mutations(node2, "drop_detached_test", 10)
|
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects1)
|
|
|
|
check_objects_exisis(cluster, objects2)
|
|
|
|
|
2022-03-22 16:39:58 +00:00
|
|
|
node2.query(
|
|
|
|
"ALTER TABLE drop_detached_test DROP DETACHED PARTITION '1'",
|
|
|
|
settings={"allow_drop_detached": 1},
|
|
|
|
)
|
2022-06-30 20:51:27 +00:00
|
|
|
node1.query("SYSTEM SYNC REPLICA drop_detached_test", timeout=30)
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node1, "drop_detached_test", 10)
|
|
|
|
wait_mutations(node2, "drop_detached_test", 10)
|
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects1)
|
|
|
|
check_objects_exisis(cluster, objects2)
|
|
|
|
|
2022-03-22 16:39:58 +00:00
|
|
|
node1.query(
|
|
|
|
"ALTER TABLE drop_detached_test DROP DETACHED PARTITION '1'",
|
|
|
|
settings={"allow_drop_detached": 1},
|
|
|
|
)
|
2022-06-30 20:51:27 +00:00
|
|
|
node2.query("SYSTEM SYNC REPLICA drop_detached_test", timeout=30)
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node1, "drop_detached_test", 10)
|
|
|
|
wait_mutations(node2, "drop_detached_test", 10)
|
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects1)
|
|
|
|
check_objects_not_exisis(cluster, objects_diff)
|
|
|
|
|
2022-03-22 16:39:58 +00:00
|
|
|
node1.query(
|
|
|
|
"ALTER TABLE drop_detached_test DROP DETACHED PARTITION '0'",
|
|
|
|
settings={"allow_drop_detached": 1},
|
|
|
|
)
|
2022-06-30 20:51:27 +00:00
|
|
|
node2.query("SYSTEM SYNC REPLICA drop_detached_test", timeout=30)
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node1, "drop_detached_test", 10)
|
|
|
|
wait_mutations(node2, "drop_detached_test", 10)
|
|
|
|
|
|
|
|
check_objects_exisis(cluster, objects1)
|
|
|
|
|
2022-03-22 16:39:58 +00:00
|
|
|
node2.query(
|
|
|
|
"ALTER TABLE drop_detached_test DROP DETACHED PARTITION '0'",
|
|
|
|
settings={"allow_drop_detached": 1},
|
|
|
|
)
|
2022-06-30 20:51:27 +00:00
|
|
|
node1.query("SYSTEM SYNC REPLICA drop_detached_test", timeout=30)
|
2021-12-01 13:12:40 +00:00
|
|
|
wait_mutations(node1, "drop_detached_test", 10)
|
|
|
|
wait_mutations(node2, "drop_detached_test", 10)
|
|
|
|
|
|
|
|
check_objects_not_exisis(cluster, objects1)
|
2021-12-21 14:27:54 +00:00
|
|
|
|
|
|
|
|
2022-06-08 12:09:59 +00:00
|
|
|
def test_s3_zero_copy_drop_detached_alter(cluster):
|
|
|
|
s3_zero_copy_drop_detached(
|
|
|
|
cluster, "ALTER TABLE drop_detached_test UNFREEZE WITH NAME"
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
def test_s3_zero_copy_drop_detached_system(cluster):
|
|
|
|
s3_zero_copy_drop_detached(cluster, "SYSTEM UNFREEZE WITH NAME")
|
|
|
|
|
|
|
|
|
2021-12-13 13:34:04 +00:00
|
|
|
def test_s3_zero_copy_concurrent_merge(cluster):
|
|
|
|
node1 = cluster.instances["node1"]
|
|
|
|
node2 = cluster.instances["node2"]
|
|
|
|
|
|
|
|
node1.query("DROP TABLE IF EXISTS concurrent_merge NO DELAY")
|
|
|
|
node2.query("DROP TABLE IF EXISTS concurrent_merge NO DELAY")
|
|
|
|
|
|
|
|
for node in (node1, node2):
|
|
|
|
node.query(
|
2022-03-22 16:39:58 +00:00
|
|
|
"""
|
2021-12-13 13:34:04 +00:00
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CREATE TABLE concurrent_merge (id UInt64)
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ENGINE=ReplicatedMergeTree('/clickhouse/tables/concurrent_merge', '{replica}')
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ORDER BY id
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SETTINGS index_granularity=2, storage_policy='s3', remote_fs_execute_merges_on_single_replica_time_threshold=1
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"""
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2022-03-22 16:39:58 +00:00
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)
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2021-12-13 13:34:04 +00:00
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node1.query("system stop merges")
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node2.query("system stop merges")
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# This will generate two parts with 20 granules each
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node1.query("insert into concurrent_merge select number from numbers(40)")
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node1.query("insert into concurrent_merge select number + 1 from numbers(40)")
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2022-03-22 16:39:58 +00:00
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wait_for_active_parts(node2, 2, "concurrent_merge")
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2021-12-13 13:34:04 +00:00
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# Merge will materialize default column, it should sleep every granule and take 20 * 2 * 0.1 = 4 sec.
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node1.query("alter table concurrent_merge add column x UInt32 default sleep(0.1)")
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node1.query("system start merges")
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node2.query("system start merges")
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# Now, the merge should start.
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# Because of remote_fs_execute_merges_on_single_replica_time_threshold=1,
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# only one replica will start merge instantly.
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# The other replica should wait for 1 sec and also start it.
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# That should probably cause a data race at s3 storage.
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# For now, it does not happen (every blob has a random name, and we just have a duplicating data)
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node1.query("optimize table concurrent_merge final")
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2022-03-22 16:39:58 +00:00
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wait_for_active_parts(node1, 1, "concurrent_merge")
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wait_for_active_parts(node2, 1, "concurrent_merge")
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2021-12-13 13:34:04 +00:00
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for node in (node1, node2):
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2022-03-22 16:39:58 +00:00
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assert node.query("select sum(id) from concurrent_merge").strip() == "1600"
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