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https://github.com/ClickHouse/ClickHouse.git
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378 lines
11 KiB
Python
378 lines
11 KiB
Python
import copy
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import logging
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import random
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import timeit
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from itertools import repeat
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from math import floor
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from multiprocessing import Pool
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import pytest
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from helpers.cluster import ClickHouseCluster
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cluster = ClickHouseCluster(__file__)
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node = cluster.add_instance(
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"node",
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main_configs=["configs/zookeeper_config.xml"],
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user_configs=[
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"configs/users.xml",
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],
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with_zookeeper=True,
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)
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@pytest.fixture(scope="module", autouse=True)
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def start_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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_query_settings = {"async_insert": 1, "wait_for_async_insert": 1}
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def _generate_values(size, min_int, max_int, array_size_range):
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gen_tuple = lambda _min_int, _max_int, _array_size_range: (
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random.randint(_min_int, _max_int),
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[
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random.randint(_min_int, _max_int)
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for _ in range(random.randint(*_array_size_range))
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],
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)
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return map(lambda _: gen_tuple(min_int, max_int, array_size_range), range(size))
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def _insert_query(table_name, settings, *args, **kwargs):
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settings_s = ", ".join("{}={}".format(k, settings[k]) for k in settings)
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INSERT_QUERY = "INSERT INTO {} SETTINGS {} VALUES {}"
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node.query(
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INSERT_QUERY.format(
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table_name,
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settings_s,
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", ".join(map(str, _generate_values(*args, **kwargs))),
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)
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)
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def _insert_queries_sequentially(
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table_name, settings, iterations, max_values_size, array_size_range
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):
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for iter in range(iterations):
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_insert_query(
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table_name,
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settings,
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random.randint(1, max_values_size),
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iter * max_values_size,
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(iter + 1) * max_values_size - 1,
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array_size_range,
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)
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def _insert_queries_in_parallel(
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table_name, settings, thread_num, tasks, max_values_size, array_size_range
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):
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sizes = [random.randint(1, max_values_size) for _ in range(tasks)]
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min_ints = [iter * max_values_size for iter in range(tasks)]
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max_ints = [(iter + 1) * max_values_size - 1 for iter in range(tasks)]
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with Pool(thread_num) as p:
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p.starmap(
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_insert_query,
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zip(
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repeat(table_name),
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repeat(settings),
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sizes,
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min_ints,
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max_ints,
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repeat(array_size_range),
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),
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)
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def test_with_merge_tree():
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table_name = "async_insert_mt_table"
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node.query(
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"CREATE TABLE {} (a UInt64, b Array(UInt64)) ENGINE=MergeTree() ORDER BY a".format(
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table_name
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)
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)
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_insert_queries_sequentially(
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table_name,
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_query_settings,
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iterations=10,
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max_values_size=1000,
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array_size_range=[10, 50],
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)
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node.query("DROP TABLE IF EXISTS {}".format(table_name))
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def test_with_merge_tree_multithread():
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thread_num = 15
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table_name = "async_insert_mt_multithread_table"
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node.query(
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"CREATE TABLE {} (a UInt64, b Array(UInt64)) ENGINE=MergeTree() ORDER BY a".format(
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table_name
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)
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)
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_insert_queries_in_parallel(
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table_name,
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_query_settings,
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thread_num=15,
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tasks=100,
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max_values_size=1000,
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array_size_range=[10, 15],
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)
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node.query("DROP TABLE IF EXISTS {}".format(table_name))
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def test_with_replicated_merge_tree():
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table_name = "async_insert_replicated_mt_table"
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create_query = " ".join(
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(
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"CREATE TABLE {} (a UInt64, b Array(UInt64))".format(table_name),
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"ENGINE=ReplicatedMergeTree('/clickhouse/tables/test/{}', 'node')".format(
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table_name
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),
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"ORDER BY a",
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)
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)
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node.query(create_query)
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settings = _query_settings
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_insert_queries_sequentially(
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table_name,
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settings,
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iterations=10,
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max_values_size=1000,
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array_size_range=[10, 50],
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)
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node.query("DROP TABLE {} SYNC".format(table_name))
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def test_with_replicated_merge_tree_multithread():
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thread_num = 15
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table_name = "async_insert_replicated_mt_multithread_table"
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create_query = " ".join(
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(
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"CREATE TABLE {} (a UInt64, b Array(UInt64))".format(table_name),
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"ENGINE=ReplicatedMergeTree('/clickhouse/tables/test/{}', 'node')".format(
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table_name
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),
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"ORDER BY a",
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)
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)
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node.query(create_query)
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_insert_queries_in_parallel(
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table_name,
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_query_settings,
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thread_num=15,
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tasks=100,
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max_values_size=1000,
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array_size_range=[10, 15],
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)
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node.query("DROP TABLE {} SYNC".format(table_name))
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# Ensure that the combined duration of inserts with adaptive timeouts is less than
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# the combined duration for fixed timeouts.
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def test_compare_sequential_inserts_durations_for_adaptive_and_fixed_async_timeouts():
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fixed_tm_table_name = "async_insert_mt_fixed_async_timeout"
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node.query(
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"CREATE TABLE {} (a UInt64, b Array(UInt64)) ENGINE=MergeTree() ORDER BY a".format(
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fixed_tm_table_name
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)
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)
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fixed_tm_settings = copy.copy(_query_settings)
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fixed_tm_settings["async_insert_use_adaptive_busy_timeout"] = 0
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fixed_tm_settings["async_insert_busy_timeout_ms"] = 100
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fixed_tm_run_duration = timeit.timeit(
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lambda: _insert_queries_sequentially(
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fixed_tm_table_name,
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fixed_tm_settings,
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iterations=50,
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max_values_size=1000,
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array_size_range=[10, 50],
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),
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setup="pass",
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number=3,
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)
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node.query("DROP TABLE IF EXISTS {}".format(fixed_tm_table_name))
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logging.debug(
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"Run duration with fixed asynchronous timeout is {} seconds".format(
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fixed_tm_run_duration
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)
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)
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adaptive_tm_table_name = "async_insert_mt_adaptive_async_timeout"
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node.query(
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"CREATE TABLE {} (a UInt64, b Array(UInt64)) ENGINE=MergeTree() ORDER BY a".format(
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adaptive_tm_table_name
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)
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)
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adaptive_tm_settings = copy.copy(_query_settings)
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adaptive_tm_settings["async_insert_busy_timeout_min_ms"] = 10
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adaptive_tm_settings["async_insert_busy_timeout_max_ms"] = 500
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adaptive_tm_run_duration = timeit.timeit(
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lambda: _insert_queries_sequentially(
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adaptive_tm_table_name,
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adaptive_tm_settings,
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iterations=50,
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max_values_size=1000,
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array_size_range=[10, 50],
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),
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setup="pass",
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number=3,
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)
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logging.debug(
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"Run duration with adaptive asynchronous timeout is {} seconds.".format(
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adaptive_tm_run_duration
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)
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)
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node.query("DROP TABLE IF EXISTS {}".format(adaptive_tm_table_name))
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assert adaptive_tm_run_duration <= fixed_tm_run_duration
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# Ensure that the combined duration of inserts with adaptive timeouts is less than
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# the combined duration for fixed timeouts.
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def test_compare_parallel_inserts_durations_for_adaptive_and_fixed_async_timeouts():
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fixed_tm_table_name = "async_insert_mt_fixed_async_timeout"
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node.query(
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"CREATE TABLE {} (a UInt64, b Array(UInt64)) ENGINE=MergeTree() ORDER BY a".format(
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fixed_tm_table_name
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)
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)
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fixed_tm_settings = copy.copy(_query_settings)
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fixed_tm_settings["async_insert_use_adaptive_busy_timeout"] = 0
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fixed_tm_settings["async_insert_busy_timeout_ms"] = 500
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fixed_tm_run_duration = timeit.timeit(
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lambda: _insert_queries_in_parallel(
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fixed_tm_table_name,
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fixed_tm_settings,
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thread_num=15,
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tasks=150,
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max_values_size=1000,
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array_size_range=[10, 50],
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),
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setup="pass",
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number=3,
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)
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node.query("DROP TABLE IF EXISTS {}".format(fixed_tm_table_name))
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logging.debug(
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"Run duration with fixed asynchronous timeout is {} seconds".format(
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fixed_tm_run_duration
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)
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)
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adaptive_tm_table_name = "async_insert_mt_adaptive_async_timeout"
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node.query(
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"CREATE TABLE {} (a UInt64, b Array(UInt64)) ENGINE=MergeTree() ORDER BY a".format(
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adaptive_tm_table_name
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)
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)
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adaptive_tm_settings = copy.copy(_query_settings)
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adaptive_tm_settings["async_insert_busy_timeout_min_ms"] = 10
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adaptive_tm_settings["async_insert_busy_timeout_max_ms"] = 500
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adaptive_tm_run_duration = timeit.timeit(
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lambda: _insert_queries_in_parallel(
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adaptive_tm_table_name,
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adaptive_tm_settings,
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thread_num=15,
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tasks=150,
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max_values_size=1000,
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array_size_range=[10, 50],
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),
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setup="pass",
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number=3,
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)
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logging.debug(
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"Run duration with adaptive asynchronous timeout is {} seconds.".format(
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adaptive_tm_run_duration
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)
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)
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node.query("DROP TABLE IF EXISTS {}".format(adaptive_tm_table_name))
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assert adaptive_tm_run_duration <= fixed_tm_run_duration
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# Ensure that the delay converges to a minimum for sequential inserts and wait_for_async_insert=1.
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def test_change_queries_frequency():
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table_name = "async_insert_mt_change_queries_frequencies"
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create_query = " ".join(
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(
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"CREATE TABLE {} (a UInt64, b Array(UInt64))".format(table_name),
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"ENGINE=ReplicatedMergeTree('/clickhouse/tables/test_frequencies/{}', 'node')".format(
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table_name
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),
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"ORDER BY a",
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)
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)
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node.query(create_query)
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settings = copy.copy(_query_settings)
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min_ms = 50
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max_ms = 200
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settings["async_insert_busy_timeout_min_ms"] = min_ms
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settings["async_insert_busy_timeout_max_ms"] = max_ms
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_insert_queries_sequentially(
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table_name,
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settings,
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iterations=50,
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max_values_size=1000,
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array_size_range=[10, 50],
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)
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node.query("SYSTEM FLUSH LOGS")
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select_log_query = f"SELECT countIf(timeout_milliseconds - {min_ms} < 25) FROM (SELECT timeout_milliseconds FROM system.asynchronous_insert_log ORDER BY event_time DESC LIMIT 10)"
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res = node.query(select_log_query)
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assert int(res) >= 5
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_insert_queries_in_parallel(
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table_name,
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settings,
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thread_num=10,
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tasks=1000,
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max_values_size=1000,
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array_size_range=[10, 15],
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)
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node.query("SYSTEM FLUSH LOGS")
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select_log_query = f"SELECT countIf({max_ms} - timeout_milliseconds < 100) FROM (SELECT timeout_milliseconds FROM system.asynchronous_insert_log ORDER BY event_time DESC LIMIT 10)"
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res = node.query(select_log_query)
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assert int(res) >= 5
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node.query("DROP TABLE IF EXISTS {} SYNC".format(table_name))
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