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* 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>
98 lines
2.7 KiB
Python
98 lines
2.7 KiB
Python
# pylint: disable=unused-argument
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# pylint: disable=redefined-outer-name
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# pylint: disable=line-too-long
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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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n1 = cluster.add_instance("n1", main_configs=["configs/remote_servers.xml"])
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n2 = cluster.add_instance("n2", main_configs=["configs/remote_servers.xml"])
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params = pytest.mark.parametrize(
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"cluster,q",
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[
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("internal_replication", 0),
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("no_internal_replication", 1),
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],
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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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def create_tables(cluster):
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n1.query("DROP TABLE IF EXISTS data")
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n2.query("DROP TABLE IF EXISTS data")
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n1.query("DROP TABLE IF EXISTS dist")
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n1.query("CREATE TABLE data (key Int) Engine=Memory()")
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n2.query("CREATE TABLE data (key Int) Engine=Memory()")
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n1.query(
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"""
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CREATE TABLE dist AS data
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Engine=Distributed(
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{cluster},
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currentDatabase(),
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data,
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rand()
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)
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""".format(
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cluster=cluster
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)
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)
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def insert_data(cluster, **settings):
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create_tables(cluster)
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n1.query("INSERT INTO dist SELECT * FROM numbers(10)", settings=settings)
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n1.query("SYSTEM FLUSH DISTRIBUTED dist")
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@params
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def test_prefer_localhost_replica_1(cluster, q):
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insert_data(cluster)
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assert int(n1.query("SELECT count() FROM data")) == 10
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assert int(n2.query("SELECT count() FROM data")) == 10 * q
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@params
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def test_prefer_localhost_replica_1_load_balancing_in_order(cluster, q):
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insert_data(cluster, load_balancing="in_order")
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assert int(n1.query("SELECT count() FROM data")) == 10
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assert int(n2.query("SELECT count() FROM data")) == 10 * q
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@params
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def test_prefer_localhost_replica_0_load_balancing_nearest_hostname(cluster, q):
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insert_data(cluster, load_balancing="nearest_hostname", prefer_localhost_replica=0)
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assert int(n1.query("SELECT count() FROM data")) == 10
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assert int(n2.query("SELECT count() FROM data")) == 10 * q
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@params
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def test_prefer_localhost_replica_0_load_balancing_in_order(cluster, q):
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insert_data(cluster, load_balancing="in_order", prefer_localhost_replica=0)
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assert int(n1.query("SELECT count() FROM data")) == 10 * q
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assert int(n2.query("SELECT count() FROM data")) == 10
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@params
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def test_prefer_localhost_replica_0_load_balancing_in_order_sync(cluster, q):
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insert_data(
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cluster,
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load_balancing="in_order",
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prefer_localhost_replica=0,
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distributed_foreground_insert=1,
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)
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assert int(n1.query("SELECT count() FROM data")) == 10 * q
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assert int(n2.query("SELECT count() FROM data")) == 10
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