Limits on the source database |
- The tables to synchronize must have PRIMARY KEY or UNIQUE constraints, and all fields
must be unique. Otherwise, the destination database may contain duplicate data records.
- If you select tables as the objects to synchronize and you want to edit tables (such
as renaming tables or columns), up to 1,000 tables can be synchronized in a single
data synchronization task. If you run a task to synchronize more than 1,000 tables,
a request error occurs. In this case, we recommend that you split the tables, configure
multiple tasks to synchronize the tables, or configure a task to synchronize the entire
database.
- The following requirements for binary logs of the ApsaraDB RDS for MySQL instances attached to the DRDS instance must be met:
- The binary logging feature must be enabled. The value of the binlog_row_image parameter
must be set to full. Otherwise, error messages are returned during precheck and the
data synchronization task cannot be started.
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For an incremental data synchronization task, the binary logs of the source database
are retained for at least 24 hours. For a full and incremental data synchronization
task, the binary logs of the source database are retained for at least seven days.
After the full data synchronization is complete, you can set the retention period
to more than 24 hours. Otherwise, DTS may fail to obtain the binary logs and the task
may fail. In exceptional circumstances, data inconsistency or loss may occur. Make
sure that you set the retention period of binary logs in accordance with the preceding
requirements. Otherwise, the Service Level Agreement (SLA) of DTS does not ensure
service reliability and performance.
- Limits on operations:
- If you change the network type of the DRDS instance during data synchronization, you must submit a ticket to update the network connection settings of the data synchronization task.
- During data synchronization, do not scale the source instance, including the ApsaraDB RDS for MySQL instance attached to the source instance, or change the distribution of physical
databases for which a logical database or logical table has been configured in the
ApsaraDB RDS for MySQL instance. In addition, do not migrate hot tables, change the shard keys, or perform
online DDL operations on the source instance. Otherwise, the data synchronization
task fails or data inconsistency occurs.ApsaraDB RDS for MySQL
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Other limits |
- The storage type of the DRDS instance must be ApsaraDB RDS for MySQL, including custom instance and purchased
instance. PolarDB for MySQL cannot be used as the storage type.
- Read-only instances at the DRDS compute layer are not supported.
- DRDS storage resources can be split only by using horizontal splitting. Both databases
and tables can be split. Vertical splitting is not supported.
- When DTS synchronizes from a DRDS instance, data is distributed across the attached ApsaraDB RDS for MySQL instances.
DTS runs a subtask for each ApsaraDB RDS for MySQL instance. The running state of
the subtask is displayed in Task Topology.
- Before you synchronize data, evaluate the impact of data synchronization on the performance
of the source and destination databases. We recommend that you synchronize data during
off-peak hours. During full data synchronization, DTS uses read and write resources
of the source and destination databases. This may cause the loads of the database
servers to increase.
- During full data synchronization, concurrent INSERT operations cause fragmentation
in the tables of the destination database. After full data synchronization is complete,
the tablespace of the destination database is larger than that of the source database.
- We recommend that you do not use gh-ost or pt-online-schema-change to perform DDL
operations on objects. Otherwise, data synchronization may fail.
- During data synchronization, we recommend that you use only DTS to write data to the
destination database. This prevents data inconsistency between the source and destination
databases. If you use tools other than DTS to write data to the destination database,
data loss may occur in the destination database when you use Data Management (DMS)
to perform online DDL operations.
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