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