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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>
195 lines
7.9 KiB
Python
195 lines
7.9 KiB
Python
import pytest
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import itertools
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from helpers.cluster import ClickHouseCluster
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from helpers.test_tools import TSV
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cluster = ClickHouseCluster(__file__)
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node1 = cluster.add_instance(
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"node1", main_configs=["configs/test_cluster.xml"], with_zookeeper=True
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)
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node2 = cluster.add_instance(
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"node2", main_configs=["configs/test_cluster.xml"], 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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@pytest.fixture(autouse=True)
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def cleanup_after_test():
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try:
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yield
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finally:
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node1.query("DROP TABLE IF EXISTS dist ON CLUSTER 'test_cluster'")
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node1.query("DROP TABLE IF EXISTS local ON CLUSTER 'test_cluster'")
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# A default column is used in the sharding key expression.
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def test_default_column():
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node1.query(
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"CREATE TABLE dist ON CLUSTER 'test_cluster' (x Int32, y Int32 DEFAULT x + 100, z Int32 DEFAULT x + y) ENGINE = Distributed('test_cluster', currentDatabase(), local, y)"
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)
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node1.query(
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"CREATE TABLE local ON CLUSTER 'test_cluster' (x Int32, y Int32 DEFAULT x + 200, z Int32 DEFAULT x - y) ENGINE = MergeTree() ORDER BY y"
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)
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for insert_sync in [0, 1]:
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settings = {"distributed_foreground_insert": insert_sync}
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# INSERT INTO TABLE dist (x)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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node1.query(
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"INSERT INTO TABLE dist (x) VALUES (1), (2), (3), (4)", settings=settings
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)
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node1.query("SYSTEM FLUSH DISTRIBUTED dist")
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assert node1.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[2, 102, 104], [4, 104, 108]]
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)
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assert node2.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[1, 101, 102], [3, 103, 106]]
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)
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assert node1.query("SELECT x, y, z FROM dist ORDER BY x") == TSV(
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[[1, 101, 102], [2, 102, 104], [3, 103, 106], [4, 104, 108]]
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)
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# INSERT INTO TABLE dist (x, y)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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node1.query(
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"INSERT INTO TABLE dist (x, y) VALUES (1, 11), (2, 22), (3, 33)",
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settings=settings,
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)
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node1.query("SYSTEM FLUSH DISTRIBUTED dist")
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assert node1.query("SELECT x, y, z FROM local ORDER BY x") == TSV([[2, 22, 24]])
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assert node2.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[1, 11, 12], [3, 33, 36]]
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)
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assert node1.query("SELECT x, y, z FROM dist ORDER BY x") == TSV(
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[[1, 11, 12], [2, 22, 24], [3, 33, 36]]
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)
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# A materialized column is used in the sharding key expression and `insert_allow_materialized_columns` set to 1.
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def test_materialized_column_allow_insert_materialized():
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node1.query(
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"CREATE TABLE dist ON CLUSTER 'test_cluster' (x Int32, y Int32 MATERIALIZED x + 100, z Int32 MATERIALIZED x + y) ENGINE = Distributed('test_cluster', currentDatabase(), local, y)"
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)
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node1.query(
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"CREATE TABLE local ON CLUSTER 'test_cluster' (x Int32, y Int32 MATERIALIZED x + 200, z Int32 MATERIALIZED x - y) ENGINE = MergeTree() ORDER BY y"
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)
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for insert_sync in [0, 1]:
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settings = {
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"distributed_foreground_insert": insert_sync,
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"insert_allow_materialized_columns": 1,
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}
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# INSERT INTO TABLE dist (x)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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node1.query(
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"INSERT INTO TABLE dist (x) VALUES (1), (2), (3), (4)", settings=settings
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)
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node1.query("SYSTEM FLUSH DISTRIBUTED dist")
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assert node1.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[2, 102, 104], [4, 104, 108]]
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)
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assert node2.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[1, 101, 102], [3, 103, 106]]
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)
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assert node1.query("SELECT x, y, z FROM dist ORDER BY x") == TSV(
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[[1, 101, 102], [2, 102, 104], [3, 103, 106], [4, 104, 108]]
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)
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# INSERT INTO TABLE dist (x, y)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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node1.query(
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"INSERT INTO TABLE dist (x, y) VALUES (1, 11), (2, 22), (3, 33)",
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settings=settings,
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)
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node1.query("SYSTEM FLUSH DISTRIBUTED dist")
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assert node1.query("SELECT x, y, z FROM local ORDER BY x") == TSV([[2, 22, 24]])
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assert node2.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[1, 11, 12], [3, 33, 36]]
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)
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assert node1.query("SELECT x, y, z FROM dist ORDER BY x") == TSV(
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[[1, 11, 12], [2, 22, 24], [3, 33, 36]]
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)
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# A materialized column is used in the sharding key expression and `insert_allow_materialized_columns` set to 0.
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def test_materialized_column_disallow_insert_materialized():
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node1.query(
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"CREATE TABLE dist ON CLUSTER 'test_cluster' (x Int32, y Int32 MATERIALIZED x + 100, z Int32 MATERIALIZED x + y) ENGINE = Distributed('test_cluster', currentDatabase(), local, y)"
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)
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node1.query(
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"CREATE TABLE local ON CLUSTER 'test_cluster' (x Int32, y Int32 MATERIALIZED x + 200, z Int32 MATERIALIZED x - y) ENGINE = MergeTree() ORDER BY y"
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)
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for insert_sync in [0, 1]:
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settings = {
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"distributed_foreground_insert": insert_sync,
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"insert_allow_materialized_columns": 0,
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}
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# INSERT INTO TABLE dist (x)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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node1.query(
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"INSERT INTO TABLE dist (x) VALUES (1), (2), (3), (4)", settings=settings
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)
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node1.query("SYSTEM FLUSH DISTRIBUTED dist")
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assert node1.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[2, 202, -200], [4, 204, -200]]
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)
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assert node2.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[1, 201, -200], [3, 203, -200]]
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)
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assert node1.query("SELECT x, y, z FROM dist ORDER BY x") == TSV(
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[[1, 201, -200], [2, 202, -200], [3, 203, -200], [4, 204, -200]]
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)
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# INSERT INTO TABLE dist (x, y)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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expected_error = "Cannot insert column y, because it is MATERIALIZED column"
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assert expected_error in node1.query_and_get_error(
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"INSERT INTO TABLE dist (x, y) VALUES (1, 11), (2, 22), (3, 33)",
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settings=settings,
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)
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# Almost the same as the previous test `test_materialized_column_disallow_insert_materialized`, but the sharding key has different values.
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def test_materialized_column_disallow_insert_materialized_different_shards():
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node1.query(
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"CREATE TABLE dist ON CLUSTER 'test_cluster' (x Int32, y Int32 MATERIALIZED x + 101, z Int32 MATERIALIZED x + y) ENGINE = Distributed('test_cluster', currentDatabase(), local, y)"
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)
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node1.query(
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"CREATE TABLE local ON CLUSTER 'test_cluster' (x Int32, y Int32 MATERIALIZED x + 200, z Int32 MATERIALIZED x - y) ENGINE = MergeTree() ORDER BY y"
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)
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for insert_sync in [0, 1]:
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settings = {
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"distributed_foreground_insert": insert_sync,
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"insert_allow_materialized_columns": 0,
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}
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# INSERT INTO TABLE dist (x)
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node1.query("TRUNCATE TABLE local ON CLUSTER 'test_cluster'")
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node1.query(
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"INSERT INTO TABLE dist (x) VALUES (1), (2), (3), (4)", settings=settings
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)
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node1.query("SYSTEM FLUSH DISTRIBUTED dist")
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assert node1.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[1, 201, -200], [3, 203, -200]]
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)
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assert node2.query("SELECT x, y, z FROM local ORDER BY x") == TSV(
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[[2, 202, -200], [4, 204, -200]]
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)
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assert node1.query("SELECT x, y, z FROM dist ORDER BY x") == TSV(
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[[1, 201, -200], [2, 202, -200], [3, 203, -200], [4, 204, -200]]
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)
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