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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>
29 lines
1.6 KiB
SQL
29 lines
1.6 KiB
SQL
-- Tags: distributed
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-- https://github.com/ClickHouse/ClickHouse/issues/1059
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SET distributed_foreground_insert = 1;
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DROP TABLE IF EXISTS union1;
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DROP TABLE IF EXISTS union2;
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DROP TABLE IF EXISTS union3;
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set allow_deprecated_syntax_for_merge_tree=1;
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CREATE TABLE union1 ( date Date, a Int32, b Int32, c Int32, d Int32) ENGINE = MergeTree(date, (a, date), 8192);
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CREATE TABLE union2 ( date Date, a Int32, b Int32, c Int32, d Int32) ENGINE = Distributed(test_shard_localhost, currentDatabase(), 'union1');
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CREATE TABLE union3 ( date Date, a Int32, b Int32, c Int32, d Int32) ENGINE = Distributed(test_shard_localhost, currentDatabase(), 'union2');
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INSERT INTO union1 VALUES (1, 2, 3, 4, 5);
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INSERT INTO union1 VALUES (11,12,13,14,15);
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INSERT INTO union2 VALUES (21,22,23,24,25);
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INSERT INTO union3 VALUES (31,32,33,34,35);
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select b, sum(c) from ( select a, b, sum(c) as c from union2 where a>1 group by a,b UNION ALL select a, b, sum(c) as c from union2 where b>1 group by a, b order by a, b) as a group by b order by b;
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select b, sum(c) from ( select a, b, sum(c) as c from union1 where a>1 group by a,b UNION ALL select a, b, sum(c) as c from union2 where b>1 group by a, b order by a, b) as a group by b order by b;
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select b, sum(c) from ( select a, b, sum(c) as c from union1 where a>1 group by a,b UNION ALL select a, b, sum(c) as c from union1 where b>1 group by a, b order by a, b) as a group by b order by b;
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select b, sum(c) from ( select a, b, sum(c) as c from union2 where a>1 group by a,b UNION ALL select a, b, sum(c) as c from union3 where b>1 group by a, b order by a, b) as a group by b order by b;
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DROP TABLE union1;
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DROP TABLE union2;
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DROP TABLE union3;
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