* 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>
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slug | sidebar_position | sidebar_label |
---|---|---|
/ru/operations/utilities/clickhouse-copier | 59 | clickhouse-copier |
clickhouse-copier
Копирует данные из таблиц одного кластера в таблицы другого (или этого же) кластера.
Можно запустить несколько clickhouse-copier
для разных серверах для выполнения одного и того же задания. Для синхронизации между процессами используется ZooKeeper.
После запуска, clickhouse-copier
:
-
Соединяется с ZooKeeper и получает:
- Задания на копирование.
- Состояние заданий на копирование.
-
Выполняет задания.
Каждый запущенный процесс выбирает "ближайший" шард исходного кластера и копирует данные в кластер назначения, при необходимости перешардируя их.
clickhouse-copier
отслеживает изменения в ZooKeeper и применяет их «на лету».
Для снижения сетевого трафика рекомендуем запускать clickhouse-copier
на том же сервере, где находятся исходные данные.
Запуск Clickhouse-copier
Утилиту следует запускать вручную следующим образом:
$ clickhouse-copier --daemon --config zookeeper.xml --task-path /task/path --base-dir /path/to/dir
Параметры запуска:
daemon
- запускаетclickhouse-copier
в режиме демона.config
- путь к файлуzookeeper.xml
с параметрами соединения с ZooKeeper.task-path
- путь к ноде ZooKeeper. Нода используется для синхронизации между процессамиclickhouse-copier
и для хранения заданий. Задания хранятся в$task-path/description
.task-file
- необязательный путь к файлу с описанием конфигурация заданий для загрузки в ZooKeeper.task-upload-force
- Загрузитьtask-file
в ZooKeeper даже если уже было загружено.base-dir
- путь к логам и вспомогательным файлам. При запускеclickhouse-copier
создает в$base-dir
подкаталогиclickhouse-copier_YYYYMMHHSS_<PID>
. Если параметр не указан, то каталоги будут создаваться в каталоге, гдеclickhouse-copier
был запущен.
Формат Zookeeper.xml
<clickhouse>
<logger>
<level>trace</level>
<size>100M</size>
<count>3</count>
</logger>
<zookeeper>
<node index="1">
<host>127.0.0.1</host>
<port>2181</port>
</node>
</zookeeper>
</clickhouse>
Конфигурация заданий на копирование
<clickhouse>
<!-- Configuration of clusters as in an ordinary server config -->
<remote_servers>
<source_cluster>
<!--
source cluster & destination clusters accept exactly the same
parameters as parameters for the usual Distributed table
see https://clickhouse.com/docs/ru/engines/table-engines/special/distributed/
-->
<shard>
<internal_replication>false</internal_replication>
<replica>
<host>127.0.0.1</host>
<port>9000</port>
<!--
<user>default</user>
<password>default</password>
<secure>1</secure>
-->
</replica>
</shard>
...
</source_cluster>
<destination_cluster>
...
</destination_cluster>
</remote_servers>
<!-- How many simultaneously active workers are possible. If you run more workers superfluous workers will sleep. -->
<max_workers>2</max_workers>
<!-- Setting used to fetch (pull) data from source cluster tables -->
<settings_pull>
<readonly>1</readonly>
</settings_pull>
<!-- Setting used to insert (push) data to destination cluster tables -->
<settings_push>
<readonly>0</readonly>
</settings_push>
<!-- Common setting for fetch (pull) and insert (push) operations. Also, copier process context uses it.
They are overlaid by <settings_pull/> and <settings_push/> respectively. -->
<settings>
<connect_timeout>3</connect_timeout>
<!-- Sync insert is set forcibly, leave it here just in case. -->
<distributed_foreground_insert>1</distributed_foreground_insert>
</settings>
<!-- Copying tasks description.
You could specify several table task in the same task description (in the same ZooKeeper node), they will be performed
sequentially.
-->
<tables>
<!-- A table task, copies one table. -->
<table_hits>
<!-- Source cluster name (from <remote_servers/> section) and tables in it that should be copied -->
<cluster_pull>source_cluster</cluster_pull>
<database_pull>test</database_pull>
<table_pull>hits</table_pull>
<!-- Destination cluster name and tables in which the data should be inserted -->
<cluster_push>destination_cluster</cluster_push>
<database_push>test</database_push>
<table_push>hits2</table_push>
<!-- Engine of destination tables.
If destination tables have not be created, workers create them using columns definition from source tables and engine
definition from here.
NOTE: If the first worker starts insert data and detects that destination partition is not empty then the partition will
be dropped and refilled, take it into account if you already have some data in destination tables. You could directly
specify partitions that should be copied in <enabled_partitions/>, they should be in quoted format like partition column of
system.parts table.
-->
<engine>
ENGINE=ReplicatedMergeTree('/clickhouse/tables/{cluster}/{shard}/hits2', '{replica}')
PARTITION BY toMonday(date)
ORDER BY (CounterID, EventDate)
</engine>
<!-- Sharding key used to insert data to destination cluster -->
<sharding_key>jumpConsistentHash(intHash64(UserID), 2)</sharding_key>
<!-- Optional expression that filter data while pull them from source servers -->
<where_condition>CounterID != 0</where_condition>
<!-- This section specifies partitions that should be copied, other partition will be ignored.
Partition names should have the same format as
partition column of system.parts table (i.e. a quoted text).
Since partition key of source and destination cluster could be different,
these partition names specify destination partitions.
NOTE: In spite of this section is optional (if it is not specified, all partitions will be copied),
it is strictly recommended to specify them explicitly.
If you already have some ready partitions on destination cluster they
will be removed at the start of the copying since they will be interpeted
as unfinished data from the previous copying!!!
-->
<enabled_partitions>
<partition>'2018-02-26'</partition>
<partition>'2018-03-05'</partition>
...
</enabled_partitions>
</table_hits>
<!-- Next table to copy. It is not copied until previous table is copying. -->
<table_visits>
...
</table_visits>
...
</tables>
</clickhouse>
clickhouse-copier
отслеживает изменения /task/path/description
и применяет их «на лету». Если вы поменяете, например, значение max_workers
, то количество процессов, выполняющих задания, также изменится.