Data Transmission Service (DTS) supports one-way synchronization between Redis clusters. This feature is applicable to scenarios such as data migration, active geo-redundancy, and geo-disaster recovery. This topic describes how to configure one-way synchronization from a self-managed Redis cluster to an ApsaraDB for Redis cluster instance.
You can also follow the procedure to configure data synchronization from an ApsaraDB for Redis cluster instance to a self-managed Redis cluster. However, you must set parameters for the source and destination instances based on the actual scenarios.
- The database version of the self-managed Redis cluster is 2.8, 3.0, 3.2, 4.0, or 5.0. Note The database version of the destination ApsaraDB for Redis cluster instance can be 4.0 or 5.0. The version of the destination database must be the same as or later that of the source database. If you synchronize data between different versions of Redis databases, make sure that the versions of the source and destination databases are compatible. You can create a pay-as-you-go ApsaraDB for Redis cluster instance to verify database compatibility. After verification, you can release the instance or change the billing method to subscription.
- The available storage space of the destination ApsaraDB for Redis cluster instance is larger than the total size of the data in the source Redis cluster.
- All nodes of the source Redis cluster support the
PSYNCcommand and share the same password.
- The timeout period for data replication between the master and replica nodes in the source instance is specified by the repl-timeout parameter. By default, this parameter is set to 60 seconds. We recommend that you run the
config set repl-timeout 600command to set this parameter to 600 seconds. If the source instance stores a large amount of data, you can increase the value of the repl-timeout parameter based on your business requirements.
- DTS uses the resources of the source and destination instances during initial full data synchronization. This may increase the loads on the database servers. If you synchronize a large volume of data or if the server specifications cannot meet your requirements, database services may become unavailable. Before you synchronize data, evaluate the impact of data synchronization on the performance of the source and destination instances. We recommend that you synchronize data during off-peak hours.
- To ensure the stability of data synchronization, we recommend that you increase the value of the
repl-backlog-sizeparameter in the redis.conf file.
- To ensure the synchronization quality, DTS adds the following key to the source Redis cluster: DTS_REDIS_TIMESTAMP_HEARTBEAT. This key is used to record the time when data is synchronized to ApsaraDB for Redis.
- We recommend that you do not run the
FLUSHALLcommand in the source Redis cluster. If you run one of the commands, data inconsistency may occur between the source and destination databases.
- By default, the maxmemory-policy parameter that specifies how data is evicted is set to volatile-lru for ApsaraDB for Redis instances. If the destination instance has insufficient memory, data inconsistency may occur between the source and destination instances due to data eviction. In this case, the data synchronization task does not stop running.
To prevent data inconsistency, we recommend that you set maxmemory-policy to noeviction for the destination instance. This way, the data synchronization task fails if the destination instance has insufficient memory, but data loss can be prevented for the destination instance.Note For more information about data eviction policies, see How does ApsaraDB for Redis evict data by default?
- If an expiration policy is enabled for specific keys in the source database, these keys may not be deleted at the earliest opportunity after they expire. Therefore, the number of keys in the destination database may be less than that in the source database. You can run the INFO command to view the number of keys in the destination database. Note The number of keys that do not have the expiration policy enabled or have not expired is the same between the source and destination databases.
- During data synchronization, if the number of shards in the self-managed Redis database is increased or decreased, or if you change the database specifications, such as scaling up the memory capacity, you must reconfigure the data synchronization task. To ensure data consistency, we recommend that you clear the data that has been synchronized to the destination instance before you reconfigure the data synchronization task.
- During data synchronization, if the endpoint of the self-managed Redis database is changed, you must reconfigure the data synchronization task.
- Limits on synchronizing data from a standalone Redis instance to a Redis cluster: Each command can be run only on a single slot in a Redis cluster. If you perform operations on multiple keys in the source database and the keys belong to different slots, the following error occurs:
We recommend that you perform operations on only one key during data synchronization. This prevents the data synchronization task from being interrupted.
CROSSSLOT Keys in request don't hash to the same slot
- If the destination instance is deployed in a cluster architecture and the amount of memory used by a shard in the destination instance reaches the upper limit, or if the available storage space of the destination instance is insufficient, the data synchronization task fails due to out of memory (OOM).
- If the transparent data encryption (TDE) feature is enabled for the destination instance, you cannot use DTS to synchronize data.
|Synchronization type||Task configuration fee|
|Schema synchronization and full data synchronization||Free of charge.|
|Incremental data synchronization||Charged. For more information, see Billing overview.|
Supported synchronization topologies
- One-way one-to-one synchronization
- One-way one-to-many synchronization
- One-way cascade synchronization
For more information, see Synchronization topologies.
Operations that can be synchronized
- BITOP, BLPOP, BRPOP, and BRPOPLPUSH
- DECR, DECRBY, and DEL
- EVAL, EVALSHA, EXEC, EXPIRE, and EXPIREAT
- GEOADD and GETSET
- HDEL, HINCRBY, HINCRBYFLOAT, HMSET, HSET, and HSETNX
- INCR, INCRBY, and INCRBYFLOAT
- LINSERT, LPOP, LPUSH, LPUSHX, LREM, LSET, and LTRIM
- MOVE, MSET, MSETNX, and MULTI
- PERSIST, PEXPIRE, PEXPIREAT, PFADD, PFMERGE, and PSETEX
- RENAME, RENAMENX, RESTORE, RPOP, RPOPLPUSH, RPUSH, and RPUSHX
- SADD, SDIFFSTORE, SELECT, SET, SETBIT, SETEX, SETNX, SETRANGE, SINTERSTORE, SMOVE, SPOP, SREM, and SUNIONSTORE
- ZADD, ZINCRBY, ZINTERSTORE, ZREM, ZREMRANGEBYLEX, ZUNIONSTORE, ZREMRANGEBYRANK, and ZREMRANGEBYSCORE
- SWAPDB and UNLINK (supported only if the engine version of the source instance is 4.0)
- PUBLISH operations cannot be synchronized.
- If you run the EVAL or EVALSHA command to call Lua scripts, DTS cannot identify whether these Lua scripts are executed on the destination instance. This is because the destination instance does not explicitly return the execution results of Lua scripts during incremental data synchronization.
- When DTS runs the SYNC or PSYNC command to transfer data of the LIST type, DTS does not clear the existing data in the destination instance. As a result, the destination instance may contain duplicate data records.
- Purchase a DTS instance. For more information, see Purchase a data synchronization instance. Note On the buy page, set both the Source Instance and Destination Instance parameters to Redis.
- Log on to the DTS console. Note
- If you are navigated to the DMS console from the DTS console, you can move the pointer over the icon in the lower-right corner and click the icon to return to the DTS console.
- If the new version of the DTS console appears after the logon, you can click the icon in the lower-right corner to return to the previous version.
- In the left-side navigation pane, click Data Synchronization.
- In the upper part of the Data Synchronization Tasks page, select the region in which the destination instance resides.
- Find the data synchronization instance and click Configure Task in the Actions column.
- Configure the source and destination instances.
Section Parameter Description N/A Synchronization Task Name The task name that DTS automatically generates. We recommend that you specify a descriptive name that makes it easy to identify the task. You do not need to use a unique task name. Source Instance Details Instance Type The access method of the source database. Select User-Created Database in ECS Instance. You can select User-Created Database in ECS Instance or User-Created Database Connected Over Express Connect, VPN Gateway, or Smart Access Gateway based on the type of the source database.
In this example, User-Created Database in ECS Instance is selected. You can also follow the procedure to configure data synchronization tasks for other types of self-managed Redis databases.
Instance Region The source region that you selected on the buy page. You cannot change the value of this parameter. ECS Instance ID The ID of the Elastic Compute Service (ECS) instance in which a master node in the self-managed Redis cluster resides. Database Type The value of this parameter is set to Redis. Instance Mode The architecture in which the source database is deployed. Select Cluster. Port Number The service port number of a master node in the self-managed Redis cluster. In this example, 7000 is entered. Database Password The password that is used to log on to the self-managed Redis database.Note This parameter is optional and can be left empty if no database password is set. Destination Instance Details Instance Type The type of the destination database. Select Redis Instance. Instance Region The destination region that you selected on the buy page. You cannot change the value of this parameter. Instance ID The ID of the destination ApsaraDB for Redis cluster instance. Database Password The database password of the destination ApsaraDB for Redis cluster instance.Note The database password is in the <user>:<password> format. For example, if the username of the account that you use to log on to the source instance is admin and the password is Rp829dlwa, the database password is admin:Rp829dlwa.
- In the lower-right corner of the page, click Set Whitelist and Next. Note
- You do not need to modify the security settings for ApsaraDB instances, such as ApsaraDB RDS for MySQL and ApsaraDB for MongoDB, or self-managed databases that are hosted on ECS instances. DTS automatically adds the CIDR blocks of DTS servers to the whitelists of ApsaraDB instances or the security group rules of ECS instances. For more information, see Add the CIDR blocks of DTS servers to the security settings of on-premises databases.
- After data synchronization is complete, we recommend that you remove the CIDR blocks of DTS servers from the whitelists or security groups.
- Select the processing mode of conflicting tables and the objects to be synchronized.
Setting Description Select the processing mode of conflicting tables
- Pre-check and Intercept: checks whether the destination instance is empty. If the destination instance is empty, the precheck is passed. If the destination instance is not empty, an error is returned during the precheck and the data synchronization task cannot be started.
- Ignore: skips the check for empty destination instances. Warning If you select Ignore, data records in the source instance overwrite the data records that have the same keys in the destination instance. Proceed with caution.
Select objects to be synchronized
- Select one or more databases from the Available section and click the icon to move the database to the Selected section.
- You can select databases as the objects to be synchronized. Keys cannot be selected as the objects to be synchronized.
Rename Databases and Tables In this scenario, you cannot rename objects. Replicate Temporary Tables When DMS Performs DDL OperationsIf you use Data Management (DMS) to perform online DDL operations on the source database, you can specify whether to synchronize temporary tables generated by online DDL operations.
- Yes: DTS synchronizes the data of temporary tables generated by online DDL operations. Note If online DDL operations generate a large amount of data, the data synchronization task may be delayed.
- No: DTS does not synchronize the data of temporary tables generated by online DDL operations. Only the original DDL data of the source database is synchronized. Note If you select No, the tables in the destination database may be locked.
Retry Time for Failed ConnectionsBy default, if DTS fails to connect to the source or destination database, DTS retries within the next 720 minutes (12 hours). You can specify the retry time based on your needs. If DTS reconnects to the source and destination databases within the specified time, DTS resumes the data synchronization task. Otherwise, the data synchronization task fails.Note When DTS retries a connection, you are charged for the DTS instance. We recommend that you specify the retry time based on your business needs. You can also release the DTS instance at your earliest opportunity after the source and destination instances are released.
- In the lower-right corner of the page, click Next.
- Select the initial synchronization types. The value is set to Include full data + incremental data and cannot be modified. Note
- DTS synchronizes historical data from the source instance to the destination instance. Then, DTS synchronizes incremental data.
- If a version-related error message appears, you can upgrade the source instance to a specified version. For more information, see Upgrade the major version and Update the minor version.
- In the lower-right corner of the page, click Precheck. Note
- Before you can start the data synchronization task, DTS performs a precheck. You can start the data synchronization task only after the task passes the precheck.
- If the task fails to pass the precheck, you can click the icon next to each failed item to view details.
- You can troubleshoot the issues based on the causes and run a precheck again.
- If you do not need to troubleshoot the issues, you can ignore failed items and run a precheck again.
- Close the Precheck dialog box after the The precheck is passed. message is displayed in the Precheck dialog box. Then, the data synchronization task starts.
- Wait until the initial synchronization is complete and the data synchronization task enters the Synchronizing state. Note You can view the state of the data synchronization task on the Synchronization Tasks page.