mirror of
https://github.com/ClickHouse/ClickHouse.git
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312 lines
12 KiB
Python
312 lines
12 KiB
Python
import datetime
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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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cluster.add_instance("node1", main_configs=["configs/config.d/s3.xml"], macros={'replica': '1'},
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with_minio=True,
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with_zookeeper=True)
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cluster.add_instance("node2", main_configs=["configs/config.d/s3.xml"], macros={'replica': '2'},
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with_minio=True,
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with_zookeeper=True)
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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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def get_large_objects_count(cluster, size=100, folder='data'):
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minio = cluster.minio_client
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counter = 0
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for obj in minio.list_objects(cluster.minio_bucket, '{}/'.format(folder)):
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if obj.size >= size:
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counter = counter + 1
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return counter
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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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if get_large_objects_count(cluster, size=size) == expected:
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return
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timeout -= 1
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time.sleep(1)
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assert get_large_objects_count(cluster, size=size) == expected
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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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num_parts_str = node.query("select count() from system.parts where table = '{}' and active".format(table_name))
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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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@pytest.mark.parametrize(
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"policy", ["s3"]
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)
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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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"""
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.format('{replica}', policy)
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)
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node1.query("INSERT INTO s3_test VALUES (0,'data'),(1,'data')")
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node2.query("SYSTEM SYNC REPLICA s3_test")
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assert node1.query("SELECT * FROM s3_test order by id FORMAT Values") == "(0,'data'),(1,'data')"
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assert node2.query("SELECT * FROM s3_test order by id FORMAT Values") == "(0,'data'),(1,'data')"
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# Based on version 20.x - should be only one file with size 100+ (checksums.txt), used by both nodes
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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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node1.query("SYSTEM SYNC REPLICA s3_test")
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assert node2.query("SELECT * FROM s3_test order by id FORMAT Values") == "(0,'data'),(1,'data'),(2,'data'),(3,'data')"
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assert node1.query("SELECT * FROM s3_test order by id FORMAT Values") == "(0,'data'),(1,'data'),(2,'data'),(3,'data')"
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# Based on version 20.x - two parts
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wait_for_large_objects_count(cluster, 2)
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node1.query("OPTIMIZE TABLE s3_test FINAL")
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# Based on version 20.x - after merge, two old parts and one merged
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wait_for_large_objects_count(cluster, 3)
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# Based on version 20.x - after cleanup - only one merged part
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wait_for_large_objects_count(cluster, 1, timeout=60)
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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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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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ENGINE=ReplicatedMergeTree('/clickhouse/tables/hybrid_test', '{}')
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ORDER BY id
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SETTINGS storage_policy='hybrid'
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"""
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.format('{replica}')
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)
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node1.query("INSERT INTO hybrid_test VALUES (0,'data'),(1,'data')")
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node2.query("SYSTEM SYNC REPLICA hybrid_test")
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assert node1.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values") == "(0,'data'),(1,'data')"
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assert node2.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values") == "(0,'data'),(1,'data')"
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assert node1.query("SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values") == "('all','default')"
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assert node2.query("SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values") == "('all','default')"
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node1.query("ALTER TABLE hybrid_test MOVE PARTITION ID 'all' TO DISK 's31'")
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assert node1.query("SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values") == "('all','s31')"
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assert node2.query("SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values") == "('all','default')"
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# Total objects in S3
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s3_objects = get_large_objects_count(cluster, size=0)
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node2.query("ALTER TABLE hybrid_test MOVE PARTITION ID 'all' TO DISK 's31'")
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assert node1.query("SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values") == "('all','s31')"
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assert node2.query("SELECT partition_id,disk_name FROM system.parts WHERE table='hybrid_test' FORMAT Values") == "('all','s31')"
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# Check that after moving partition on node2 no new obects on s3
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wait_for_large_objects_count(cluster, s3_objects, size=0)
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assert node1.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values") == "(0,'data'),(1,'data')"
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assert node2.query("SELECT * FROM hybrid_test ORDER BY id FORMAT Values") == "(0,'data'),(1,'data')"
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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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def insert_data_time(node, table, number_of_mb, time, start=0):
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values = ','.join(f"({x},{time})" for x in range(start, int((1024 * 1024 * number_of_mb) / 8) + start + 1))
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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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insert_data_time(node, table, 1, tm, 1024*1024)
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tm = time.mktime(datetime.date.today().timetuple())
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insert_data_time(node, table, 10, tm, 1024*1024*2)
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@pytest.mark.parametrize(
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("storage_policy", "large_data", "iterations"),
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[
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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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]
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)
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def test_s3_zero_copy_with_ttl_move(cluster, storage_policy, large_data, iterations):
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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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for i in range(iterations):
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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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"""
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.format('{replica}', storage_policy)
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)
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if large_data:
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insert_large_data(node1, 'ttl_move_test')
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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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node1.query("OPTIMIZE TABLE ttl_move_test FINAL")
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node2.query("SYSTEM SYNC REPLICA ttl_move_test")
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if large_data:
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assert node1.query("SELECT count() FROM ttl_move_test FORMAT Values") == "(1572867)"
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assert node2.query("SELECT count() FROM ttl_move_test FORMAT Values") == "(1572867)"
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else:
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assert node1.query("SELECT count() FROM ttl_move_test FORMAT Values") == "(2)"
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assert node2.query("SELECT count() FROM ttl_move_test FORMAT Values") == "(2)"
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assert node1.query("SELECT d FROM ttl_move_test ORDER BY d FORMAT Values") == "(10),(11)"
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assert node2.query("SELECT d FROM ttl_move_test ORDER BY d FORMAT Values") == "(10),(11)"
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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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@pytest.mark.parametrize(
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("large_data", "iterations"),
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[
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(False, 10),
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(True, 3),
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]
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)
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def test_s3_zero_copy_with_ttl_delete(cluster, large_data, iterations):
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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_delete_test NO DELAY")
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node2.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
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for i in range(iterations):
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node1.query(
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"""
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CREATE TABLE ttl_delete_test ON CLUSTER test_cluster (d UInt64, d1 DateTime)
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ENGINE=ReplicatedMergeTree('/clickhouse/tables/ttl_delete_test', '{}')
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ORDER BY d
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TTL d1 + INTERVAL 2 DAY
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SETTINGS storage_policy='tiered'
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"""
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.format('{replica}')
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)
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if large_data:
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insert_large_data(node1, 'ttl_delete_test')
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else:
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node1.query("INSERT INTO ttl_delete_test VALUES (10, now() - INTERVAL 3 DAY)")
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node1.query("INSERT INTO ttl_delete_test VALUES (11, now() - INTERVAL 1 DAY)")
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node1.query("OPTIMIZE TABLE ttl_delete_test FINAL")
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node2.query("SYSTEM SYNC REPLICA ttl_delete_test")
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if large_data:
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assert node1.query("SELECT count() FROM ttl_delete_test FORMAT Values") == "(1310721)"
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assert node2.query("SELECT count() FROM ttl_delete_test FORMAT Values") == "(1310721)"
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else:
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assert node1.query("SELECT count() FROM ttl_delete_test FORMAT Values") == "(1)"
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assert node2.query("SELECT count() FROM ttl_delete_test FORMAT Values") == "(1)"
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assert node1.query("SELECT d FROM ttl_delete_test ORDER BY d FORMAT Values") == "(11)"
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assert node2.query("SELECT d FROM ttl_delete_test ORDER BY d FORMAT Values") == "(11)"
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node1.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
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node2.query("DROP TABLE IF EXISTS ttl_delete_test NO DELAY")
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def test_s3_zero_copy_concurrent_merge(cluster):
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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 concurrent_merge NO DELAY")
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node2.query("DROP TABLE IF EXISTS concurrent_merge NO DELAY")
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for node in (node1, node2):
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node.query(
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"""
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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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)
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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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wait_for_active_parts(node2, 2, 'concurrent_merge')
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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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wait_for_active_parts(node1, 1, 'concurrent_merge')
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wait_for_active_parts(node2, 1, 'concurrent_merge')
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for node in (node1, node2):
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assert node.query('select sum(id) from concurrent_merge').strip() == '1600'
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