ClickHouse/tests/integration/test_concurrent_ttl_merges/test.py
2023-07-18 20:23:55 +00:00

223 lines
7.6 KiB
Python

import time
import logging
import pytest
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import assert_eq_with_retry, TSV
cluster = ClickHouseCluster(__file__)
node1 = cluster.add_instance(
"node1",
main_configs=["configs/fast_background_pool.xml"],
user_configs=["configs/users.xml"],
with_zookeeper=True,
)
node2 = cluster.add_instance(
"node2",
main_configs=["configs/fast_background_pool.xml"],
user_configs=["configs/users.xml"],
with_zookeeper=True,
)
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
yield cluster
finally:
cluster.shutdown()
def count_ttl_merges_in_queue(node, table):
result = node.query(
f"SELECT count() FROM system.replication_queue WHERE merge_type = 'TTL_DELETE' and table = '{table}'"
)
if not result:
return 0
return int(result.strip())
def count_ttl_merges_in_background_pool(node, table, level):
result = TSV(
node.query(
f"SELECT * FROM system.merges WHERE merge_type = 'TTL_DELETE' and table = '{table}'"
)
)
count = len(result)
if count >= level:
logging.debug(
f"count_ttl_merges_in_background_pool: merges more than warn level:\n{result}"
)
return count
def count_regular_merges_in_background_pool(node, table):
result = node.query(
f"SELECT count() FROM system.merges WHERE merge_type = 'REGULAR' and table = '{table}'"
)
if not result:
return 0
return int(result.strip())
def count_running_mutations(node, table):
result = node.query(
f"SELECT count() FROM system.merges WHERE table = '{table}' and is_mutation=1"
)
if not result:
return 0
return int(result.strip())
# This test was introduced to check concurrency for TTLs merges and mutations
# but it revealed a bug when we assign different merges to the same part
# on the borders of partitions.
def test_no_ttl_merges_in_busy_pool(started_cluster):
node1.query(
"CREATE TABLE test_ttl (d DateTime, key UInt64, data UInt64) ENGINE = MergeTree() ORDER BY tuple() PARTITION BY key TTL d + INTERVAL 1 MONTH SETTINGS merge_with_ttl_timeout = 0, number_of_free_entries_in_pool_to_execute_mutation = 0"
)
node1.query("SYSTEM STOP TTL MERGES")
for i in range(1, 7):
node1.query(
f"INSERT INTO test_ttl SELECT now() - INTERVAL 1 MONTH + number - 1, {i}, number FROM numbers(5)"
)
node1.query("ALTER TABLE test_ttl UPDATE data = data + 1 WHERE sleepEachRow(1) = 0")
while count_running_mutations(node1, "test_ttl") < 6:
logging.debug(f"Mutations count {count_running_mutations(node1, 'test_ttl')}")
assert count_ttl_merges_in_background_pool(node1, "test_ttl", 1) == 0
time.sleep(0.5)
node1.query("SYSTEM START TTL MERGES")
rows_count = []
while count_running_mutations(node1, "test_ttl") == 6:
logging.debug(
f"Mutations count after start TTL{count_running_mutations(node1, 'test_ttl')}"
)
rows_count.append(int(node1.query("SELECT count() FROM test_ttl").strip()))
time.sleep(0.5)
# at least several seconds we didn't run any TTL merges and rows count equal
# to the original value
assert sum([1 for count in rows_count if count == 30]) > 4
assert_eq_with_retry(node1, "SELECT COUNT() FROM test_ttl", "0")
node1.query("DROP TABLE test_ttl SYNC")
def test_limited_ttl_merges_in_empty_pool(started_cluster):
node1.query(
"CREATE TABLE test_ttl_v2 (d DateTime, key UInt64, data UInt64) ENGINE = MergeTree() ORDER BY tuple() PARTITION BY key TTL d + INTERVAL 1 MONTH SETTINGS merge_with_ttl_timeout = 0"
)
node1.query("SYSTEM STOP TTL MERGES")
for i in range(100):
node1.query(
f"INSERT INTO test_ttl_v2 SELECT now() - INTERVAL 1 MONTH, {i}, number FROM numbers(1)"
)
assert node1.query("SELECT COUNT() FROM test_ttl_v2") == "100\n"
node1.query("SYSTEM START TTL MERGES")
merges_with_ttl_count = set({})
while True:
merges_with_ttl_count.add(
count_ttl_merges_in_background_pool(node1, "test_ttl_v2", 3)
)
time.sleep(0.01)
if node1.query("SELECT COUNT() FROM test_ttl_v2") == "0\n":
break
assert max(merges_with_ttl_count) <= 2
node1.query("DROP TABLE test_ttl_v2 SYNC")
def test_limited_ttl_merges_in_empty_pool_replicated(started_cluster):
node1.query(
"CREATE TABLE replicated_ttl (d DateTime, key UInt64, data UInt64) ENGINE = ReplicatedMergeTree('/test/t', '1') ORDER BY tuple() PARTITION BY key TTL d + INTERVAL 1 MONTH SETTINGS merge_with_ttl_timeout = 0"
)
node1.query("SYSTEM STOP TTL MERGES")
for i in range(100):
node1.query_with_retry(
f"INSERT INTO replicated_ttl SELECT now() - INTERVAL 1 MONTH, {i}, number FROM numbers(1)"
)
assert node1.query("SELECT COUNT() FROM replicated_ttl") == "100\n"
node1.query("SYSTEM START TTL MERGES")
merges_with_ttl_count = set({})
entries_with_ttl_count = set({})
while True:
merges_with_ttl_count.add(
count_ttl_merges_in_background_pool(node1, "replicated_ttl", 3)
)
entries_with_ttl_count.add(count_ttl_merges_in_queue(node1, "replicated_ttl"))
time.sleep(0.01)
if node1.query("SELECT COUNT() FROM replicated_ttl") == "0\n":
break
assert max(merges_with_ttl_count) <= 2
assert max(entries_with_ttl_count) <= 1
node1.query("DROP TABLE replicated_ttl SYNC")
def test_limited_ttl_merges_two_replicas(started_cluster):
# Actually this test quite fast and often we cannot catch any merges.
node1.query(
"CREATE TABLE replicated_ttl_2 (d DateTime, key UInt64, data UInt64) ENGINE = ReplicatedMergeTree('/test/t2', '1') ORDER BY tuple() PARTITION BY key TTL d + INTERVAL 1 MONTH SETTINGS merge_with_ttl_timeout = 0"
)
node2.query(
"CREATE TABLE replicated_ttl_2 (d DateTime, key UInt64, data UInt64) ENGINE = ReplicatedMergeTree('/test/t2', '2') ORDER BY tuple() PARTITION BY key TTL d + INTERVAL 1 MONTH SETTINGS merge_with_ttl_timeout = 0"
)
node1.query("SYSTEM STOP TTL MERGES")
node2.query("SYSTEM STOP TTL MERGES")
for i in range(100):
node1.query_with_retry(
f"INSERT INTO replicated_ttl_2 SELECT now() - INTERVAL 1 MONTH, {i}, number FROM numbers(10000)"
)
node2.query("SYSTEM SYNC REPLICA replicated_ttl_2", timeout=10)
assert node1.query("SELECT COUNT() FROM replicated_ttl_2") == "1000000\n"
assert node2.query("SELECT COUNT() FROM replicated_ttl_2") == "1000000\n"
node1.query("SYSTEM START TTL MERGES")
node2.query("SYSTEM START TTL MERGES")
merges_with_ttl_count_node1 = set({})
merges_with_ttl_count_node2 = set({})
while True:
merges_with_ttl_count_node1.add(
count_ttl_merges_in_background_pool(node1, "replicated_ttl_2", 3)
)
merges_with_ttl_count_node2.add(
count_ttl_merges_in_background_pool(node2, "replicated_ttl_2", 3)
)
if (
node1.query("SELECT COUNT() FROM replicated_ttl_2") == "0\n"
and node2.query("SELECT COUNT() FROM replicated_ttl_2") == "0\n"
):
break
# Both replicas can assign merges with TTL. If one will perform better than
# the other slow replica may have several merges in queue, so we don't
# check them
assert max(merges_with_ttl_count_node1) <= 2
assert max(merges_with_ttl_count_node2) <= 2
node1.query("DROP TABLE replicated_ttl_2 SYNC")
node2.query("DROP TABLE replicated_ttl_2 SYNC")