ClickHouse/tests/integration/test_distributed_queries_stress/test.py

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Add stress test for distributed queries It may founds issue like in [1]: 2021.03.18 19:05:38.783328 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Debug> executeQuery: (from 127.0.0.1:40918, using production parser) select * from dist where key = 0; 2021.03.18 19:05:38.783760 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Debug> StorageDistributed (dist): Skipping irrelevant shards - the query will be sent to the following shards of the cluster (shard numbers): [1] 2021.03.18 19:05:38.784012 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Trace> ContextAccess (default): Access granted: SELECT(key) ON default.dist 2021.03.18 19:05:38.784410 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Trace> ContextAccess (default): Access granted: SELECT(key) ON default.dist 2021.03.18 19:05:38.784488 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Trace> StorageDistributed (dist): Disabling force_optimize_skip_unused_shards for nested queries (force_optimize_skip_unused_shards_nesting exceeded) 2021.03.18 19:05:38.784572 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Trace> InterpreterSelectQuery: Complete -> Complete 2021.03.18 19:05:38.819063 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Information> executeQuery: Read 20 rows, 80.00 B in 0.035687783 sec., 560 rows/sec., 2.19 KiB/sec. 2021.03.18 19:05:38.827842 [ 245 ] {4b1f5ec0-bf2d-478c-a2e1-d312531db206} <Debug> MemoryTracker: Peak memory usage (for query): 0.00 B. 2021.03.18 19:05:38.867752 [ 547 ] {} <Fatal> BaseDaemon: ######################################## 2021.03.18 19:05:38.867959 [ 547 ] {} <Fatal> BaseDaemon: (version 21.4.1.1, build id: A0ADEC175BD65E58EA012C47C265E661C32D23B5) (from thread 245) (query_id: 4b1f5ec0-bf2d-478c-a2e1-d312531db206) Received signal Aborted (6) 2021.03.18 19:05:38.868733 [ 547 ] {} <Fatal> BaseDaemon: 2021.03.18 19:05:38.868958 [ 547 ] {} <Fatal> BaseDaemon: Stack trace: 0x7fd1394be18b 0x7fd13949d859 0x10c4c99b 0xd434ee1 0xd434f1a 2021.03.18 19:05:38.870135 [ 547 ] {} <Fatal> BaseDaemon: 3. gsignal @ 0x4618b in /usr/lib/x86_64-linux-gnu/libc-2.31.so 2021.03.18 19:05:38.870383 [ 547 ] {} <Fatal> BaseDaemon: 4. abort @ 0x25859 in /usr/lib/x86_64-linux-gnu/libc-2.31.so 2021.03.18 19:05:38.886783 [ 547 ] {} <Fatal> BaseDaemon: 5. /work3/azat/ch/clickhouse/.cmake/../contrib/libunwind/src/UnwindLevel1.c:396: _Unwind_Resume @ 0x10c4c99b in /usr/bin/clickhouse 2021.03.18 19:05:47.200208 [ 547 ] {} <Fatal> BaseDaemon: 6. ? @ 0xd434ee1 in /usr/bin/clickhouse 2021.03.18 19:05:47.348738 [ 547 ] {} <Fatal> BaseDaemon: 7.1. inlined from /work3/azat/ch/clickhouse/.cmake/../contrib/boost/boost/context/fiber_fcontext.hpp:253: boost::context::fiber::~fiber() 2021.03.18 19:05:47.349118 [ 547 ] {} <Fatal> BaseDaemon: 7.2. inlined from ../contrib/boost/boost/context/fiber_fcontext.hpp:252: boost::context::detail::fiber_record<boost::context::fiber, FiberStack&, DB::RemoteQueryExecutorRoutine>::run(void*) 2021.03.18 19:05:47.349163 [ 547 ] {} <Fatal> BaseDaemon: 7. ../contrib/boost/boost/context/fiber_fcontext.hpp:80: void boost::context::detail::fiber_entry<boost::context::detail::fiber_record<boost::context::fiber, FiberStack&, DB::RemoteQueryExecutorRoutine> >(boost::context::detail::transfer_t) @ 0xd434f1a in /usr/bin/clickhouse 2021.03.18 19:05:47.618174 [ 547 ] {} <Fatal> BaseDaemon: Calculated checksum of the binary: FF3BA83D0CD648741EEEC242CB1966D9. There is no information about the reference checksum. [1]: https://clickhouse-test-reports.s3.yandex.net/0/1b2ed51ff5e4a3dc45567d4967108f43f680c884/stress_test_(debug).html#fail1
2021-03-20 19:40:24 +00:00
# pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
# pylint: disable=line-too-long
import shlex
import itertools
import pytest
from helpers.cluster import ClickHouseCluster
cluster = ClickHouseCluster(__file__)
node1_r1 = cluster.add_instance('node1_r1', main_configs=['configs/remote_servers.xml'])
node2_r1 = cluster.add_instance('node2_r1', main_configs=['configs/remote_servers.xml'])
node1_r2 = cluster.add_instance('node1_r2', main_configs=['configs/remote_servers.xml'])
node2_r2 = cluster.add_instance('node2_r2', main_configs=['configs/remote_servers.xml'])
def run_benchmark(payload, settings):
node1_r1.exec_in_container([
'bash', '-c', 'echo {} | '.format(shlex.quote(payload.strip())) + ' '.join([
'clickhouse', 'benchmark',
'--concurrency=100',
'--cumulative',
'--delay=0',
# NOTE: with current matrix even 3 seconds it huge...
'--timelimit=3',
# tune some basic timeouts
'--hedged_connection_timeout_ms=200',
'--connect_timeout_with_failover_ms=200',
'--connections_with_failover_max_tries=5',
*settings,
])
])
@pytest.fixture(scope='module')
def started_cluster():
try:
cluster.start()
for _, instance in cluster.instances.items():
instance.query("""
create table if not exists data (
key Int,
/* just to increase block size */
v1 UInt64,
v2 UInt64,
v3 UInt64,
v4 UInt64,
v5 UInt64,
v6 UInt64,
v7 UInt64,
v8 UInt64,
v9 UInt64,
v10 UInt64,
v11 UInt64,
v12 UInt64
) Engine=MergeTree() order by key partition by key%5;
insert into data (key) select * from numbers(10);
create table if not exists dist_one as data engine=Distributed(one_shard, currentDatabase(), data, key);
create table if not exists dist_one_over_dist as data engine=Distributed(one_shard, currentDatabase(), dist_one, yandexConsistentHash(key, 2));
create table if not exists dist_two as data engine=Distributed(two_shards, currentDatabase(), data, key);
create table if not exists dist_two_over_dist as data engine=Distributed(two_shards, currentDatabase(), dist_two, yandexConsistentHash(key, 2));
""")
yield cluster
finally:
cluster.shutdown()
@pytest.mark.parametrize('table,settings', itertools.product(
[ # tables
'dist_one',
'dist_one_over_dist',
'dist_two',
'dist_two_over_dist',
],
[ # settings
*list(itertools.combinations([
'', # defaults
'--prefer_localhost_replica=0',
'--async_socket_for_remote=0',
'--use_hedged_requests=0',
'--optimize_skip_unused_shards=1',
'--distributed_group_by_no_merge=2',
'--optimize_distributed_group_by_sharding_key=1',
# TODO: enlarge test matrix (but first those values to accept ms):
#
# - sleep_in_send_tables_status
# - sleep_in_send_data
], 2))
# TODO: more combinations that just 2
],
))
def test_stress_distributed(table, settings, started_cluster):
payload = f'''
select * from {table} where key = 0;
select * from {table} where key = 1;
select * from {table} where key = 2;
select * from {table} where key = 3;
select * from {table};
'''
run_benchmark(payload, settings)