mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-27 18:12:02 +00:00
c25d6cd624
* Limit log frequence for "Skipping send data over distributed table" message After SYSTEM STOP DISTRIBUTED SENDS it will constantly print this message. Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Rename directory monitor concept into async INSERT Rename the following query settings (with preserving backward compatiblity, by keeping old name as an alias): - distributed_directory_monitor_sleep_time_ms -> distributed_async_insert_sleep_time_ms - distributed_directory_monitor_max_sleep_time_ms -> distributed_async_insert_max_sleep_time_ms - distributed_directory_monitor_batch -> distributed_async_insert_batch_inserts - distributed_directory_monitor_split_batch_on_failure -> distributed_async_insert_split_batch_on_failure Rename the following table settings (with preserving backward compatiblity, by keeping old name as an alias): - monitor_batch_inserts -> async_insert_batch - monitor_split_batch_on_failure -> async_insert_split_batch_on_failure - directory_monitor_sleep_time_ms -> async_insert_sleep_time_ms - directory_monitor_max_sleep_time_ms -> async_insert_max_sleep_time_ms And also update all the references: $ gg -e directory_monitor_ -e monitor_ tests docs | cut -d: -f1 | sort -u | xargs sed -e 's/distributed_directory_monitor_sleep_time_ms/distributed_async_insert_sleep_time_ms/g' -e 's/distributed_directory_monitor_max_sleep_time_ms/distributed_async_insert_max_sleep_time_ms/g' -e 's/distributed_directory_monitor_batch_inserts/distributed_async_insert_batch/g' -e 's/distributed_directory_monitor_split_batch_on_failure/distributed_async_insert_split_batch_on_failure/g' -e 's/monitor_batch_inserts/async_insert_batch/g' -e 's/monitor_split_batch_on_failure/async_insert_split_batch_on_failure/g' -e 's/monitor_sleep_time_ms/async_insert_sleep_time_ms/g' -e 's/monitor_max_sleep_time_ms/async_insert_max_sleep_time_ms/g' -i Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Rename async_insert for Distributed into background_insert This will avoid amigibuity between general async INSERT's and INSERT into Distributed, which are indeed background, so new term express it even better. Mostly done with: $ git di HEAD^ --name-only | xargs sed -i -e 's/distributed_async_insert/distributed_background_insert/g' -e 's/async_insert_batch/background_insert_batch/g' -e 's/async_insert_split_batch_on_failure/background_insert_split_batch_on_failure/g' -e 's/async_insert_sleep_time_ms/background_insert_sleep_time_ms/g' -e 's/async_insert_max_sleep_time_ms/background_insert_max_sleep_time_ms/g' Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Mark 02417_opentelemetry_insert_on_distributed_table as long CI: https://s3.amazonaws.com/clickhouse-test-reports/55978/7a6abb03a0b507e29e999cb7e04f246a119c6f28/stateless_tests_flaky_check__asan_.html Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> --------- Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
162 lines
5.4 KiB
Python
Executable File
162 lines
5.4 KiB
Python
Executable File
import os
|
|
import sys
|
|
from contextlib import contextmanager
|
|
|
|
import pytest
|
|
|
|
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
|
from helpers.test_tools import TSV
|
|
from helpers.cluster import ClickHouseCluster
|
|
from helpers.client import QueryRuntimeException, QueryTimeoutExceedException
|
|
|
|
cluster = ClickHouseCluster(__file__)
|
|
|
|
node1 = cluster.add_instance("node1", main_configs=["configs/remote_servers.xml"])
|
|
node2 = cluster.add_instance("node2", main_configs=["configs/remote_servers.xml"])
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def started_cluster():
|
|
try:
|
|
cluster.start()
|
|
|
|
for node in (node1, node2):
|
|
node.query(
|
|
"""
|
|
CREATE TABLE local_table(date Date, val UInt64) ENGINE = MergeTree() PARTITION BY toYYYYMM(date) ORDER BY (date, val);
|
|
"""
|
|
)
|
|
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE distributed_table(date Date, val UInt64) ENGINE = Distributed(test_cluster, default, local_table)
|
|
"""
|
|
)
|
|
|
|
yield cluster
|
|
|
|
finally:
|
|
cluster.shutdown()
|
|
|
|
|
|
def test_insertion_sync(started_cluster):
|
|
node1.query(
|
|
"""SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 0;
|
|
INSERT INTO distributed_table SELECT today() as date, number as val FROM system.numbers LIMIT 10000"""
|
|
)
|
|
|
|
assert node2.query("SELECT count() FROM local_table").rstrip() == "10000"
|
|
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 1;
|
|
INSERT INTO distributed_table SELECT today() - 1 as date, number as val FROM system.numbers LIMIT 10000"""
|
|
)
|
|
|
|
assert node2.query("SELECT count() FROM local_table").rstrip() == "20000"
|
|
|
|
# Insert with explicitly specified columns.
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 1;
|
|
INSERT INTO distributed_table(date, val) VALUES ('2000-01-01', 100500)"""
|
|
)
|
|
|
|
# Insert with columns specified in different order.
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 1;
|
|
INSERT INTO distributed_table(val, date) VALUES (100500, '2000-01-01')"""
|
|
)
|
|
|
|
# Insert with an incomplete list of columns.
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 1;
|
|
INSERT INTO distributed_table(val) VALUES (100500)"""
|
|
)
|
|
|
|
expected = TSV(
|
|
"""
|
|
1970-01-01 100500
|
|
2000-01-01 100500
|
|
2000-01-01 100500"""
|
|
)
|
|
assert (
|
|
TSV(
|
|
node2.query(
|
|
"SELECT date, val FROM local_table WHERE val = 100500 ORDER BY date"
|
|
)
|
|
)
|
|
== expected
|
|
)
|
|
|
|
node1.query("TRUNCATE TABLE local_table SYNC")
|
|
node2.query("TRUNCATE TABLE local_table SYNC")
|
|
|
|
|
|
"""
|
|
def test_insertion_sync_fails_on_error(started_cluster):
|
|
with PartitionManager() as pm:
|
|
pm.partition_instances(node2, node1, action='REJECT --reject-with tcp-reset')
|
|
with pytest.raises(QueryRuntimeException):
|
|
node1.query('''
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 0;
|
|
INSERT INTO distributed_table SELECT today() as date, number as val FROM system.numbers''', timeout=2)
|
|
"""
|
|
|
|
|
|
def test_insertion_sync_fails_with_timeout(started_cluster):
|
|
with pytest.raises(QueryRuntimeException):
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 1;
|
|
INSERT INTO distributed_table SELECT today() as date, number as val FROM system.numbers"""
|
|
)
|
|
|
|
|
|
def test_insertion_without_sync_ignores_timeout(started_cluster):
|
|
with pytest.raises(QueryTimeoutExceedException):
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 0, distributed_background_insert_timeout = 1;
|
|
INSERT INTO distributed_table SELECT today() as date, number as val FROM system.numbers""",
|
|
timeout=1.5,
|
|
)
|
|
|
|
|
|
def test_insertion_sync_with_disabled_timeout(started_cluster):
|
|
with pytest.raises(QueryTimeoutExceedException):
|
|
node1.query(
|
|
"""
|
|
SET distributed_foreground_insert = 1, distributed_background_insert_timeout = 0;
|
|
INSERT INTO distributed_table SELECT today() as date, number as val FROM system.numbers""",
|
|
timeout=1,
|
|
)
|
|
|
|
|
|
def test_async_inserts_into_local_shard(started_cluster):
|
|
node1.query("""CREATE TABLE shard_local (i Int64) ENGINE = Memory""")
|
|
node1.query(
|
|
"""CREATE TABLE shard_distributed (i Int64) ENGINE = Distributed(local_shard_with_internal_replication, default, shard_local)"""
|
|
)
|
|
node1.query(
|
|
"""INSERT INTO shard_distributed VALUES (1)""",
|
|
settings={"distributed_foreground_insert": 0},
|
|
)
|
|
|
|
assert TSV(node1.query("""SELECT count() FROM shard_distributed""")) == TSV("1\n")
|
|
node1.query("""DETACH TABLE shard_distributed""")
|
|
node1.query("""ATTACH TABLE shard_distributed""")
|
|
assert TSV(node1.query("""SELECT count() FROM shard_distributed""")) == TSV("1\n")
|
|
|
|
node1.query("""DROP TABLE shard_distributed""")
|
|
node1.query("""DROP TABLE shard_local""")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
with contextmanager(started_cluster)() as cluster:
|
|
for name, instance in list(cluster.instances.items()):
|
|
print(name, instance.ip_address)
|
|
input("Cluster created, press any key to destroy...")
|