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Data Migration Shard Merge Scenario
Learn how to use Data Migration to migrate data in the shard merge scenario.
/docs/tidb-data-migration/dev/usage-scenario-shard-merge/

Data Migration Shard Merge Scenario

This document shows how to use Data Migration (DM) to migrate data to the downstream TiDB in the shard merge scenario.

The example used in this document is a simple scenario where sharded schemas and sharded tables of two data source MySQL instances need to be migrated to a downstream TiDB cluster.

For other scenarios, you can refer to Best Practices of Data Migration in the Shard Merge Scenario.

Data source instances

Assume that the data source structures are as follows:

  • Instance 1

    Schema Tables
    user information, log_bak
    store_01 sale_01, sale_02
    store_02 sale_01, sale_02
  • Instance 2

    Schema Tables
    user information, log_bak
    store_01 sale_01, sale_02
    store_02 sale_01, sale_02

Migration requirements

  1. Merge the user.information tables to the downstream user.information table in TiDB.
  2. Merge the store_{01|02}.sale_{01|02} tables in the above instances to the downstream store.sale table in TiDB.
  3. Replicate user and store_{01|02} schemas but do not replicate the user.log_bak tables in the above instances.
  4. Filter out all the delete operations in the store_{01|02}.sale_{01|02} table of the above instances and filter out the drop database operation in shemas.

The expected downstream schema after migration is as follows:

Schema Tables
user information
store sale

Conflict check across sharded tables

Because migration requirements #1 and #2 involve the DM Shard Merge feature, data from multiple tables might cause conflicts between the primary keys or the unique keys. You need to check these sharded tables. For details, refer to Handle conflicts between primary keys or unique indexes across multiple sharded tables. In this example:

The table schema of user.information is

CREATE TABLE `information` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `uid` bigint(20) DEFAULT NULL,
  `name` varchar(255) DEFAULT NULL,
  `data` varchar(255) DEFAULT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `uid` (`uid`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1

In the above structure, column id is the primary key and column uid is the unique index. Column id has auto-increment attribute and if the ranges of tables overlap, data conflicts might occur. Column uid can ensure only a unique index exists globally. So, you can avoid column id by following the steps in the section Remove the PRIMARY KEY attribute from the column.

The table schema of store_{01|02}.sale_{01|02} is

CREATE TABLE `sale_01` (
  `sid` bigint(20) NOT NULL,
  `pid` bigint(20) NOT NULL,
  `comment` varchar(255) DEFAULT NULL,
  PRIMARY KEY (`sid`),
  KEY `pid` (`pid`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1

In the above structure, sid is the shard key, which can ensure that the same sid only exists in one sharded table. So no data conflict is caused and you do not need to perform extra operations.

Migration solution

  • To satisfy the migration requirements #1, you do not need to configure the table routing rule. You need to manually create a table based on the requirements in the section Remove the PRIMARY KEY attribute from the column:

    {{< copyable "sql" >}}

    CREATE TABLE `information` (
      `id` bigint(20) NOT NULL AUTO_INCREMENT,
      `uid` bigint(20) DEFAULT NULL,
      `name` varchar(255) DEFAULT NULL,
      `data` varchar(255) DEFAULT NULL,
      INDEX (`id`),
      UNIQUE KEY `uid` (`uid`)
    ) ENGINE=InnoDB DEFAULT CHARSET=latin1

    And skip precheck in the configuration file:

    {{< copyable "" >}}

    ignore-checking-items: ["auto_increment_ID"]
  • To satisfy the migration requirement #2, configure the table routing rule as follows:

    {{< copyable "" >}}

    routes:
      ...
      store-route-rule:
        schema-pattern: "store_*"
        target-schema: "store"
      sale-route-rule:
        schema-pattern: "store_*"
        table-pattern: "sale_*"
        target-schema: "store"
        target-table:  "sale"
  • To satisfy the migration requirements #3, configure the Block and allow table lists as follows:

    {{< copyable "" >}}

    block-allow-list:
      log-bak-ignored:
        do-dbs: ["user", "store_*"]
        ignore-tables:
        - db-name: "user"
          tbl-name: "log_bak"
  • To satisfy the migration requirement #4, configure the binlog event filter rule as follows:

    {{< copyable "" >}}

    filters:
      ...
      sale-filter-rule:     # filter out all deletion operations of all tables under store_* schema
        schema-pattern: "store_*"
        table-pattern: "sale_*"
        events: ["truncate table", "drop table", "delete"]
        action: Ignore
      store-filter-rule:   # filter out the deletion operation of store_* schema
        schema-pattern: "store_*"
        events: ["drop database"]
        action: Ignore

Migration task configuration

The complete configuration of the migration task is shown as follows. For more details, see Data Migration Task Configuration Guide.

{{< copyable "" >}}

name: "shard_merge"
task-mode: all                      # full data migration + incremental data migration
meta-schema: "dm_meta"
ignore-checking-items: ["auto_increment_ID"]

target-database:
  host: "192.168.0.1"
  port: 4000
  user: "root"
  password: ""

mysql-instances:
  -
    source-id: "instance-1"  # The ID of the data source and can be obtained from the data source configuration
    route-rules: ["store-route-rule", "sale-route-rule"] # Applies to the table route rules of this data source
    filter-rules: ["store-filter-rule" , "sale-filter-rule"] # Applies to the binlog event filter rules of this data source
    block-allow-list:  "log-bak-ignored"  # Applies to the block and allow lists of this data source
  -
    source-id: "instance-2"
    route-rules: ["store-route-rule", "sale-route-rule"]
    filter-rules: ["store-filter-rule", "sale-filter-rule"]
    block-allow-list:  "log-bak-ignored"

# Other common configs shared by all instances

routes:
  store-route-rule:
    schema-pattern: "store_*"
    target-schema: "store"
  sale-route-rule:
    schema-pattern: "store_*"
    table-pattern: "sale_*"
    target-schema: "store"
    target-table:  "sale"

filters:
  sale-filter-rule:
    schema-pattern: "store_*"
    table-pattern: "sale_*"
    events: ["truncate table", "drop table", "delete"]
    action: Ignore
  store-filter-rule:
    schema-pattern: "store_*"
    events: ["drop database"]
    action: Ignore

block-allow-list:
  log-bak-ignored:
    do-dbs: ["user", "store_*"]
    ignore-tables:
    - db-name: "user"
      tbl-name: "log_bak"