ClickHouse/tests/integration/test_concurrent_ttl_merges/test.py
alexey-milovidov 84b210f93e
Merge pull request #14864 from bharatnc/ncb/format-integration-tests
Format and cleanup imports form all *.py integration test files
2020-09-16 20:40:57 +03:00

173 lines
6.9 KiB
Python

import time
import pytest
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import assert_eq_with_retry
cluster = ClickHouseCluster(__file__)
node1 = cluster.add_instance('node1', main_configs=['configs/fast_background_pool.xml'], with_zookeeper=True)
node2 = cluster.add_instance('node2', main_configs=['configs/fast_background_pool.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(
"SELECT count() FROM system.replication_queue WHERE merge_type = 'TTL_DELETE' and table = '{}'".format(table))
if not result:
return 0
return int(result.strip())
def count_ttl_merges_in_background_pool(node, table):
result = node.query(
"SELECT count() FROM system.merges WHERE merge_type = 'TTL_DELETE' and table = '{}'".format(table))
if not result:
return 0
return int(result.strip())
def count_regular_merges_in_background_pool(node, table):
result = node.query("SELECT count() FROM system.merges WHERE merge_type = 'REGULAR' and table = '{}'".format(table))
if not result:
return 0
return int(result.strip())
def count_running_mutations(node, table):
result = node.query("SELECT count() FROM system.merges WHERE table = '{}' and is_mutation=1".format(table))
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(
"INSERT INTO test_ttl SELECT now() - INTERVAL 1 MONTH + number - 1, {}, number FROM numbers(5)".format(i))
node1.query("ALTER TABLE test_ttl UPDATE data = data + 1 WHERE sleepEachRow(1) = 0")
while count_running_mutations(node1, "test_ttl") < 6:
print "Mutations count", count_running_mutations(node1, "test_ttl")
assert count_ttl_merges_in_background_pool(node1, "test_ttl") == 0
time.sleep(0.5)
node1.query("SYSTEM START TTL MERGES")
rows_count = []
while count_running_mutations(node1, "test_ttl") == 6:
print "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")
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("INSERT INTO test_ttl_v2 SELECT now() - INTERVAL 1 MONTH, {}, number FROM numbers(1)".format(i))
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"))
time.sleep(0.01)
if node1.query("SELECT COUNT() FROM test_ttl_v2") == "0\n":
break
assert max(merges_with_ttl_count) <= 2
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("INSERT INTO replicated_ttl SELECT now() - INTERVAL 1 MONTH, {}, number FROM numbers(1)".format(i))
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"))
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
def test_limited_ttl_merges_two_replicas(started_cluster):
# Actually this test quite fast and often we cannot catch any merges.
# To check for sure just add some sleeps in mergePartsToTemporaryPart
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(
"INSERT INTO replicated_ttl_2 SELECT now() - INTERVAL 1 MONTH, {}, number FROM numbers(10000)".format(i))
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"))
merges_with_ttl_count_node2.add(count_ttl_merges_in_background_pool(node2, "replicated_ttl_2"))
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