TiDB Data Migration Binlog Event Filter

TiDB Data Migration (DM) provides the binlog event filter feature to filter out, block and report errors, or only receive specified types of binlog events for some schemas or tables. For example, you can filter out all TRUNCATE TABLE or INSERT events. The binlog event filter feature is more fine-grained than the block and allow lists feature.

Configure the binlog event filter

In the task configuration file, add the following configuration:

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

Starting from DM v2.0.2, you can configure the binlog event filter in the source configuration file. For details, see Upstream Database Configuration File.

When you use the wildcard for matching schemas and tables, note the following:

• schema-pattern and table-pattern only support wildcards, including *, ?, and []. There can only be one * symbol in a wildcard match, and it must be at the end. For example, in table-pattern: "t_*", "t_*" indicates all tables starting with t_. See wildcard matching for details.

• sql-pattern only supports regular expressions.

Parameter descriptions

• schema-pattern/table-pattern: the binlog events or DDL SQL statements of upstream MySQL or MariaDB instance tables that match schema-pattern/table-pattern are filtered by the rules below.

• events: the binlog event array. You can only select one or more Events from the following table:

  Events	Type	Description
  all		Includes all the events below
  all dml		Includes all DML events below
  all ddl		Includes all DDL events below
  incompatible ddl changes		Includes all incompatible DDL events, where "incompatible DDL" means DDL operations that might cause data loss
  none		Includes none of the events below
  none ddl		Includes none of the DDL events below
  none dml		Includes none of the DML events below
  insert	DML	The INSERT DML event
  update	DML	The UPDATE DML event
  delete	DML	The DELETE DML event
  create database	DDL	The CREATE DATABASE DDL event
  drop database	incompatible DDL	The DROP DATABASE DDL event
  create table	DDL	The CREATE TABLE DDL event
  create index	DDL	The CREATE INDEX DDL event
  drop table	incompatible DDL	The DROP TABLE DDL event
  truncate table	incompatible DDL	The TRUNCATE TABLE DDL event
  rename table	incompatible DDL	The RENAME TABLE DDL event
  drop index	incompatible DDL	The DROP INDEX DDL event
  alter table	DDL	The ALTER TABLE DDL event
  value range decrease	incompatible DDL	A DDL statement that decreases the value range of a column field, such as the ALTER TABLE MODIFY COLUMN statement that changes VARCHAR(20) to VARCHAR(10)
  precision decrease	incompatible DDL	A DDL statement that decreases the precision of a column field, such as the ALTER TABLE MODIFY COLUMN statement that changes Decimal(10, 2) to Decimal(10, 1)
  modify column	incompatible DDL	A DDL statement that changes the type of a column field, such as the ALTER TABLE MODIFY COLUMN statement that changes INT to VARCHAR
  rename column	incompatible DDL	A DDL statement that changes the name of a column, such as the ALTER TABLE RENAME COLUMN statement
  rename index	incompatible DDL	A DDL statement that changes the index name, such as the ALTER TABLE RENAME INDEX statement
  drop column	incompatible DDL	A DDL statement that drops a column from a table, such as the ALTER TABLE DROP COLUMN statement
  drop index	incompatible DDL	A DDL statement that drops an index in a table, such as the ALTER TABLE DROP INDEX statement
  truncate table partition	incompatible DDL	A DDL statement that removes all data from a specified partition, such as the ALTER TABLE TRUNCATE PARTITION statement
  drop primary key	incompatible DDL	A DDL statement that drops the primary key, such as the ALTER TABLE DROP PRIMARY KEY statement
  drop unique key	incompatible DDL	A DDL statement that drops a unique key, such as the ALTER TABLE DROP UNIQUE KEY statement
  modify default value	incompatible DDL	A DDL statement that modifies a column's default value, such as the ALTER TABLE CHANGE DEFAULT statement
  modify constraint	incompatible DDL	A DDL statement that modifies the constraint, such as the ALTER TABLE ADD CONSTRAINT statement
  modify columns order	incompatible DDL	A DDL statement that modifies the order of the columns, such as the ALTER TABLE CHANGE AFTER statement
  modify charset	incompatible DDL	A DDL statement that modifies the charset of a column, such as the ALTER TABLE MODIFY CHARSET statement
  modify collation	incompatible DDL	A DDL statement that modifies a column collation, such as the ALTER TABLE MODIFY COLLATE statement
  remove auto increment	incompatible DDL	A DDL statement that removes an auto-incremental key
  modify storage engine	incompatible DDL	A DDL statement that modifies the table storage engine, such as the ALTER TABLE ENGINE = MyISAM statement
  reorganize table partition	incompatible DDL	A DDL statement that reorganizes partitions in a table, such as the ALTER TABLE REORGANIZE PARTITION statement
  rebuild table partition	incompatible DDL	A DDL statement that rebuilds the table partition, such as the ALTER TABLE REBUILD PARTITION statement
  exchange table partition	incompatible DDL	A DDL statement that exchanges a partition between two tables, such as the ALTER TABLE EXCHANGE PARTITION statement
  coalesce table partition	incompatible DDL	A DDL statement that decreases the number of partitions in a table, such as the ALTER COALESCE PARTITION statement

• sql-pattern: it is used to filter specified DDL SQL statements. The matching rule supports using a regular expression. For example, "^DROP\\s+PROCEDURE".

• action: the string (Do/Ignore/Error). Based on the rules, it judges as follows:

  • Do: the allow list. The binlog is filtered in either of the following two conditions:
    • The type of the event is not in the event list of the rule.
    • The SQL statement of the event cannot be matched by sql-pattern of the rule.
  • Ignore: the block list. The binlog is filtered in either of the following two conditions:
    • The type of the event is in the event list of the rule.
    • The SQL statement of the event can be matched by sql-pattern of the rule.
  • Error: the error list. The binlog reports an error in either of the following two conditions:
    • The type of the event is in the event list of the rule.
    • The SQL statement of the event can be matched by sql-pattern of the rule.
  • When multiple rules match the same table, the rules are applied sequentially. The block list has a higher priority than the error list, and the error list has a higher priority than the allow list. For example:
    • If both the Ignore and Error rules are applied to the same table, the Ignore rule takes effect.
    • If both the Error and Do rules are applied to the same table, the Error rule takes effect.

Usage examples

This section shows the usage examples in the scenario of sharding (sharded schemas and tables).

Filter all sharding deletion operations

To filter out all deletion operations, configure the following two filtering rules:

• filter-table-rule filters out the TRUNCATE TABLE, DROP TABLE and DELETE STATEMENT operations of all tables that match the test_*.t_* pattern.
• filter-schema-rule filters out the DROP DATABASE operation of all schemas that match the test_* pattern.

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

Only migrate sharding DML statements

To only migrate sharding DML statements, configure the following two filtering rules:

• do-table-rule only migrates the CREATE TABLE, INSERT, UPDATE and DELETE statements of all tables that match the test_*.t_* pattern.
• do-schema-rule only migrates the CREATE DATABASE statement of all schemas that match the test_* pattern.

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 the SQL statements that TiDB does not support

To filter out the PROCEDURE statements that TiDB does not support, configure the following filter-procedure-rule:

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

filter-procedure-rule filters out the ^CREATE\\s+PROCEDURE and ^DROP\\s+PROCEDURE statements of all tables that match the test_*.t_* pattern.

Filter out the SQL statements that the TiDB parser does not support

For the SQL statements that the TiDB parser does not support, DM cannot parse them and get the schema/table information. So you must use the global filtering rule: schema-pattern: "*".

To filter out the PARTITION statements that the TiDB parser (of some version) does not support, configure the following filtering rule:

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

Report errors on some DDL statements

If you need to block and report errors on DDL statements generated by some upstream operations before DM replicates them to TiDB, you can use the following settings:

filters:
  filter-procedure-rule:
    schema-pattern: "test_*"
    table-pattern: "t_*"
    events: ["truncate table", "truncate table partition"]
    action: Error