ClickHouse/tests/integration/test_limited_replicated_fetches/test.py
2021-04-12 11:07:28 +03:00

77 lines
3.3 KiB
Python

#!/usr/bin/env python3
import pytest
import time
from helpers.cluster import ClickHouseCluster
from helpers.network import PartitionManager
import random
import string
import os
cluster = ClickHouseCluster(__file__)
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
node1 = cluster.add_instance('node1', user_configs=['configs/custom_settings.xml'], with_zookeeper=True)
node2 = cluster.add_instance('node2', user_configs=['configs/custom_settings.xml'], with_zookeeper=True)
MAX_THREADS_FOR_FETCH = 3
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
yield cluster
finally:
cluster.shutdown()
def get_random_string(length):
return ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(length))
def test_limited_fetches(started_cluster):
"""
Test checks that that we utilize all available threads for fetches
"""
node1.query("CREATE TABLE t (key UInt64, data String) ENGINE = ReplicatedMergeTree('/clickhouse/test/t', '1') ORDER BY tuple() PARTITION BY key")
node2.query("CREATE TABLE t (key UInt64, data String) ENGINE = ReplicatedMergeTree('/clickhouse/test/t', '2') ORDER BY tuple() PARTITION BY key")
with PartitionManager() as pm:
node2.query("SYSTEM STOP FETCHES t")
node1.query("INSERT INTO t SELECT 1, '{}' FROM numbers(5000)".format(get_random_string(104857)))
node1.query("INSERT INTO t SELECT 2, '{}' FROM numbers(5000)".format(get_random_string(104857)))
node1.query("INSERT INTO t SELECT 3, '{}' FROM numbers(5000)".format(get_random_string(104857)))
node1.query("INSERT INTO t SELECT 4, '{}' FROM numbers(5000)".format(get_random_string(104857)))
node1.query("INSERT INTO t SELECT 5, '{}' FROM numbers(5000)".format(get_random_string(104857)))
node1.query("INSERT INTO t SELECT 6, '{}' FROM numbers(5000)".format(get_random_string(104857)))
pm.add_network_delay(node1, 80)
node2.query("SYSTEM START FETCHES t")
fetches_result = []
background_fetches_metric = []
fetched_parts = set([])
for _ in range(1000):
result = node2.query("SELECT result_part_name FROM system.replicated_fetches").strip().split()
background_fetches_metric.append(int(node2.query("select value from system.metrics where metric = 'BackgroundFetchesPoolTask'").strip()))
if not result:
if len(fetched_parts) == 6:
break
time.sleep(0.1)
else:
for part in result:
fetched_parts.add(part)
fetches_result.append(result)
print(fetches_result[-1])
print(background_fetches_metric[-1])
time.sleep(0.1)
for concurrently_fetching_parts in fetches_result:
if len(concurrently_fetching_parts) > MAX_THREADS_FOR_FETCH:
assert False, "Found more than {} concurrently fetching parts: {}".format(MAX_THREADS_FOR_FETCH, ', '.join(concurrently_fetching_parts))
assert max([len(parts) for parts in fetches_result]) == 3, "Strange, but we don't utilize max concurrent threads for fetches"
assert(max(background_fetches_metric)) == 3, "Just checking metric consistent with table"
node1.query("DROP TABLE IF EXISTS t SYNC")
node2.query("DROP TABLE IF EXISTS t SYNC")