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161 lines
6.7 KiB
Markdown
Executable File
161 lines
6.7 KiB
Markdown
Executable File
<a name="utils-clickhouse-copier"></a>
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# clickhouse-copier
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Copies data from the tables in one cluster to tables in another (or the same) cluster.
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You can run multiple `clickhouse-copier` instances on different servers to perform the same job. ZooKeeper is used for syncing the processes.
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After starting, `clickhouse-copier`:
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- Connects to ZooKeeper and receives:
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- Copying jobs.
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- The state of the copying jobs.
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- It performs the jobs.
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Each running process chooses the "closest" shard of the source cluster and copies the data into the destination cluster, resharding the data if necessary.
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`clickhouse-copier` tracks the changes in ZooKeeper and applies them on the fly.
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To reduce network traffic, we recommend running `clickhouse-copier` on the same server where the source data is located.
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## Running clickhouse-copier
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The utility should be run manually:
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```bash
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clickhouse-copier copier --daemon --config zookeeper.xml --task-path /task/path --base-dir /path/to/dir
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```
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Parameters:
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- `daemon` — Starts `clickhouse-copier` in daemon mode.
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- `config` — The path to the `zookeeper.xml` file with the parameters for the connection to ZooKeeper.
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- `task-path` — The path to the ZooKeeper node. This node is used for syncing `clickhouse-copier` processes and storing tasks. Tasks are stored in `$task-path/description`.
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- `base-dir` — The path to logs and auxiliary files. When it starts, `clickhouse-copier` creates `clickhouse-copier_YYYYMMHHSS_<PID>` subdirectories in `$base-dir`. If this parameter is omitted, the directories are created in the directory where `clickhouse-copier` was launched.
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## Format of zookeeper.xml
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```xml
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<yandex>
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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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</yandex>
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```
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## Configuration of copying tasks
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```xml
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<yandex>
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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. The copier process context also 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, but 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 task descriptions.
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You can specify several table tasks in the same task description (in the same ZooKeeper node), and 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 that copies one table. -->
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<table_hits>
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<!-- Source cluster name (from the <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 where 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 for destination tables.
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If the destination tables have not been created yet, workers create them using column definitions from source tables and the engine
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definition from here.
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NOTE: If the first worker starts to insert data and detects that the destination partition is not empty, then the partition will
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be dropped and refilled. Take this into account if you already have some data in destination tables. You can directly
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specify partitions that should be copied in <enabled_partitions/>. They should be in quoted format like the partition column in the
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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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<!-- The sharding key used to insert data to the destination cluster. -->
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<sharding_key>jumpConsistentHash(intHash64(UserID), 2)</sharding_key>
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<!-- Optional expression that filters data while pulling it 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 partitions will be ignored.
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Partition names should have the same format as
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the partition column in the system.parts table (i.e. quoted text).
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Since the partition key might be different for the source and destination cluster,
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these partition names specify the destination partitions.
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Note: Although this section is optional (if it omitted, all partitions will be copied), it is strongly recommended to specify the partitions explicitly.
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If you already have some partitions ready on the destination cluster, they
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will be removed at the start of the copying, because they will be interpreted
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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 the 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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</yandex>
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```
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`clickhouse-copier` tracks the changes in `/task/path/description` and applies them on the fly. For instance, if you change the value of `max_workers`, the number of processes running tasks will also change.
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