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172 lines
6.9 KiB
Markdown
172 lines
6.9 KiB
Markdown
# clickhouse-copier {#clickhouse-copier}
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将数据从一个群集中的表复制到另一个（或相同）群集中的表。
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您可以运行多个 `clickhouse-copier` 不同服务器上的实例执行相同的作业。 ZooKeeper用于同步进程。
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开始后, `clickhouse-copier`:
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- 连接到ZooKeeper并且接收:
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- 复制作业。
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- 复制作业的状态。
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- 它执行的工作。
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每个正在运行的进程都会选择源集群的“最接近”分片，然后将数据复制到目标集群，并在必要时重新分片数据。
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`clickhouse-copier` 跟踪ZooKeeper中的更改，并实时应用它们。
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为了减少网络流量，我们建议运行 `clickhouse-copier` 在源数据所在的同一服务器上。
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## 运行Clickhouse-copier {#running-clickhouse-copier}
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该实用程序应手动运行:
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``` bash
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clickhouse-copier --daemon --config zookeeper.xml --task-path /task/path --base-dir /path/to/dir
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```
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参数:
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- `daemon` — 在守护进程模式下启动`clickhouse-copier`。
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- `config` — `zookeeper.xml`文件的路径，其中包含用于连接ZooKeeper的参数。
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- `task-path` — ZooKeeper节点的路径。 该节点用于同步`clickhouse-copier`进程和存储任务。 任务存储在`$task-path/description`中。
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- `task-file` — 可选的非必须参数, 指定一个包含任务配置的参数文件, 用于初始上传到ZooKeeper。
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- `task-upload-force` — 即使节点已经存在，也强制上载`task-file`。
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- `base-dir` — 日志和辅助文件的路径。 启动时，`clickhouse-copier`在`$base-dir`中创建`clickhouse-copier_YYYYMMHHSS_<PID>`子目录。 如果省略此参数，则会在启动`clickhouse-copier`的目录中创建目录。
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## Zookeeper.xml格式 {#format-of-zookeeper-xml}
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``` xml
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<clickhouse>
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<logger>
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<level>trace</level>
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<size>100M</size>
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<count>3</count>
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</logger>
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<zookeeper>
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<node index="1">
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<host>127.0.0.1</host>
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<port>2181</port>
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</node>
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</zookeeper>
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</clickhouse>
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```
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## 复制任务的配置 {#configuration-of-copying-tasks}
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``` xml
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<clickhouse>
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<!-- Configuration of clusters as in an ordinary server config -->
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<remote_servers>
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<source_cluster>
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<shard>
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<internal_replication>false</internal_replication>
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<replica>
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<host>127.0.0.1</host>
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<port>9000</port>
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</replica>
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</shard>
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...
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</source_cluster>
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<destination_cluster>
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...
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</destination_cluster>
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</remote_servers>
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<!-- How many simultaneously active workers are possible. If you run more workers superfluous workers will sleep. -->
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<max_workers>2</max_workers>
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<!-- Setting used to fetch (pull) data from source cluster tables -->
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<settings_pull>
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<readonly>1</readonly>
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</settings_pull>
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<!-- Setting used to insert (push) data to destination cluster tables -->
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<settings_push>
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<readonly>0</readonly>
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</settings_push>
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<!-- Common setting for fetch (pull) and insert (push) operations. Also, copier process context uses it.
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They are overlaid by <settings_pull/> and <settings_push/> respectively. -->
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<settings>
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<connect_timeout>3</connect_timeout>
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<!-- Sync insert is set forcibly, leave it here just in case. -->
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<insert_distributed_sync>1</insert_distributed_sync>
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</settings>
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<!-- Copying tasks description.
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You could specify several table task in the same task description (in the same ZooKeeper node), they will be performed
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sequentially.
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-->
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<tables>
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<!-- A table task, copies one table. -->
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<table_hits>
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<!-- Source cluster name (from <remote_servers/> section) and tables in it that should be copied -->
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<cluster_pull>source_cluster</cluster_pull>
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<database_pull>test</database_pull>
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<table_pull>hits</table_pull>
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<!-- Destination cluster name and tables in which the data should be inserted -->
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<cluster_push>destination_cluster</cluster_push>
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<database_push>test</database_push>
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<table_push>hits2</table_push>
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<!-- Engine of destination tables.
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If destination tables have not be created, workers create them using columns definition from source tables and engine
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definition from here.
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NOTE: If the first worker starts insert data and detects that destination partition is not empty then the partition will
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be dropped and refilled, take it into account if you already have some data in destination tables. You could directly
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specify partitions that should be copied in <enabled_partitions/>, they should be in quoted format like partition column of
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system.parts table.
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-->
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<engine>
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ENGINE=ReplicatedMergeTree('/clickhouse/tables/{cluster}/{shard}/hits2', '{replica}')
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PARTITION BY toMonday(date)
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ORDER BY (CounterID, EventDate)
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</engine>
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<!-- Sharding key used to insert data to destination cluster -->
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<sharding_key>jumpConsistentHash(intHash64(UserID), 2)</sharding_key>
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<!-- Optional expression that filter data while pull them from source servers -->
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<where_condition>CounterID != 0</where_condition>
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<!-- This section specifies partitions that should be copied, other partition will be ignored.
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Partition names should have the same format as
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partition column of system.parts table (i.e. a quoted text).
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Since partition key of source and destination cluster could be different,
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these partition names specify destination partitions.
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NOTE: In spite of this section is optional (if it is not specified, all partitions will be copied),
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it is strictly recommended to specify them explicitly.
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If you already have some ready partitions on destination cluster they
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will be removed at the start of the copying since they will be interpeted
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as unfinished data from the previous copying!!!
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-->
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<enabled_partitions>
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<partition>'2018-02-26'</partition>
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<partition>'2018-03-05'</partition>
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...
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</enabled_partitions>
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</table_hits>
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<!-- Next table to copy. It is not copied until previous table is copying. -->
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<table_visits>
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...
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</table_visits>
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...
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</tables>
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</clickhouse>
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```
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`clickhouse-copier` 跟踪更改 `/task/path/description` 并在飞行中应用它们。 例如，如果你改变的值 `max_workers`，运行任务的进程数也会发生变化。
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[原始文章](https://clickhouse.com/docs/en/operations/utils/clickhouse-copier/) <!--hide-->
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