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Filter Binlog Events
Learn how to filter binlog events when migrating data.

Filter Binlog Events

This document describes how to filter binlog events when you use DM to perform continuous incremental data replication. For the detailed replication instructions, refer to the following documents by scenarios:

Configuration

To use binlog event filter, add a filter to the task configuration file of DM, as shown below:

filters:
  rule-1:
    schema-pattern: "test_*"
    table-pattern: "t_*"
    events: ["truncate table", "drop table"]
    sql-pattern: ["^DROP\\s+PROCEDURE", "^CREATE\\s+PROCEDURE"]
    action: Ignore

  • schema-pattern/table-pattern: Filters matching schemas or tables

  • events: Filters binlog events. Supported events are listed in the table below:

    Event Category Description
    all Includes all events
    all dml Includes all DML events
    all ddl Includes all DDL events
    none Includes no event
    none ddl Excludes all DDL events
    none dml Excludes all DML events
    insert DML Insert DML event
    update DML Update DML event
    delete DML Delete DML event
    create database DDL Create database event
    drop database DDL Drop database event
    create table DDL Create table event
    create index DDL Create index event
    drop table DDL Drop table event
    truncate table DDL Truncate table event
    rename table DDL Rename table event
    drop index DDL Drop index event
    alter table DDL Alter table event

  • sql-pattern：Filters specified DDL SQL statements. The matching rule supports using a regular expression.

  • action: Do or Ignore

    • Do: the allow list. A binlog event is replicated if meeting either of the following two conditions:

      • The event matches the rule setting.
      • sql-pattern has been specified and the SQL statement of the event matches any of the sql-pattern options.

    • Ignore: the block list. A binlog event is filtered out if meeting either of the following two conditions:

      • The event matches the rule setting.
      • sql-pattern has been specified and the SQL statement of the event matches any of the sql-pattern options.

    If both Do and Ignore are configured, Ignore has higher priority over Do. That is, an event satisfying both Ignore and Do conditions will be filtered out.

Application scenarios

This section describes the application scenarios of binlog event filter.

Filter out all sharding deletion operations

To filter out all deletion operations, configure a filter-table-rule and a filter-schema-rule, as shown below:

filters:
  filter-table-rule:
    schema-pattern: "test_*"
    table-pattern: "t_*"
    events: ["truncate table", "drop table", "delete"]
    action: Ignore
  filter-schema-rule:
    schema-pattern: "test_*"
    events: ["drop database"]
    action: Ignore

Migrate only DML operations of sharded schemas and tables

To replicate only DML statements, configure two Binlog event filter rule, as shown below:

filters:
  do-table-rule:
    schema-pattern: "test_*"
    table-pattern: "t_*"
    events: ["create table", "all dml"]
    action: Do
  do-schema-rule:
    schema-pattern: "test_*"
    events: ["create database"]
    action: Do

Filter out SQL statements not supported by TiDB

To filter out SQL statements not supported by TiDB, configure a filter-procedure-rule, as shown below:

filters:
  filter-procedure-rule:
    schema-pattern: "*"
    sql-pattern: [".*\\s+DROP\\s+PROCEDURE", ".*\\s+CREATE\\s+PROCEDURE", "ALTER\\s+TABLE[\\s\\S]*ADD\\s+PARTITION", "ALTER\\s+TABLE[\\s\\S]*DROP\\s+PARTITION"]
    action: Ignore

Warning:

To avoid filtering out data that needs to be migrated, configure the global filtering rule as strictly as possible.

See also

Filter Binlog Events Using SQL Expressions