ClickHouse/tests/integration/test_limited_replicated_fetches/test.py

128 lines
3.9 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", main_configs=["configs/custom_settings.xml"], with_zookeeper=True
)
node2 = cluster.add_instance(
"node2", main_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")