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Data Transmission Service:Synchronize data from a self-managed Redis database hosted on an ECS instance to a Tair instance

更新時間:Nov 19, 2024

This topic describes how to synchronize data from a self-managed Redis database hosted on an Elastic Compute Service (ECS) instance to a Tair instance by using Data Transmission Service (DTS).

Warning

After you configure a data synchronization task, do not change the architecture type of the source or destination database. Otherwise, the data synchronization task fails.

Prerequisites

  • A self-managed Redis database and a Tair instance are created. For more information about how to create a Tair instance, see Step 1: Create a Tair instance.

    Note
    • DTS supports only Tair instances for which the direct connection mode is enabled.

    • DTS also supports one-way synchronization between Tair instances. You can refer to the configuration method described in this topic to configure one-way synchronization between the Tair instances.

  • The version of the self-managed Redis database is 2.8, 3.0, 3.2, 4.0, 5.0, or 6.0.

  • The available storage space of the destination Tair instance is larger than the total size of the data in the source self-managed Redis database.

  • If the source Redis database is deployed in a cluster architecture, all nodes of the Redis cluster support the PSYNC command 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 600 command 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.

Limits

Category

Description

Limits on the source database

  • The collections to be synchronized must have PRIMARY KEY or UNIQUE constraints, and all fields must be unique. Otherwise, the destination instance may contain duplicate data records.

  • We recommend that you do not run the FLUSHDB or FLUSHALL command in the source Redis database. If you run one of the commands, data may be inconsistent between the source and destination databases.

  • The append-only file (AOF) logging feature must be enabled for the self-managed Redis database.

    Note

    If you perform only incremental data synchronization, the AOF logs of the source database must be stored for more than 24 hours. If you perform both full data synchronization and incremental data synchronization, the AOF logs of the source database must be stored for at least seven days. Otherwise, DTS may fail to obtain the AOF logs, and your data synchronization task may fail. In exceptional circumstances, data inconsistency or loss may occur. After the full data synchronization is complete, you can set the retention period to more than 24 hours. Make sure that you set the retention period of AOF logs based on the preceding requirements. Otherwise, the Service Level Agreement (SLA) of DTS does not guarantee service reliability or performance.

  • If the bind parameter is configured in the redis.conf file of the source database, you must set the value of this parameter to the internal IP address of the ECS instance. The setting ensures that DTS can connect to the source database.

  • To ensure the synchronization quality, Data Transmission Service (DTS) adds a key prefixed with DTS_REDIS_TIMESTAMP_HEARTBEAT to the source database. This key is used to record the time when data is synchronized to the destination database. If the source database is deployed in a cluster architecture, DTS adds this key to each shard. The key is filtered out during data synchronization. After the data synchronization task is complete, the key expires.

  • If the source database is a read-only database or the source database account that is used to run the data synchronization task does not have the permissions to run the SETEX command, the reported latency may be inaccurate.

  • To ensure the stability of data synchronization, we recommend that you increase the value of the repl-backlog-size parameter in the redis.conf file of the source Redis database.

  • 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.

  • Limits on synchronizing data from a standalone Tair (Redis OSS-Compatible) instance to an Tair (Redis OSS-Compatible) cluster instance: Each command can be run only on a single slot in an Tair (Redis OSS-Compatible) cluster instance. If you perform operations on multiple keys in the source database and the keys belong to different slots, the following error occurs:

    CROSSSLOT Keys in request don't hash to the same slot

    We recommend that you perform operations on only one key during data synchronization. Otherwise, the data synchronization task is interrupted.

Other limits

  • To ensure compatibility, the version of the destination instance must be the same as or later than that of the source database. If the version of the destination instance is earlier than that of the source database, database compatibility issues may occur.

  • During data synchronization, if the number of shards in the source Redis database is increased or decreased, or if you change the database specifications, such as scaling up the memory capacity, you must reconfigure the task. To ensure data consistency, we recommend that you clear the data that has been synchronized to the destination database before you reconfigure the data synchronization task.

  • 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.

  • We recommend that you do not run the FLUSHDB or FLUSHALL command in the source database during data synchronization between Redis instances. If you run one of the commands, data inconsistency may occur between the source and destination databases.

  • If the destination instance is out of memory, data eviction is triggered. By default, the data eviction policy (maxmemory-policy) of the destination Tair instance is set to volatile-lru. Therefore, data inconsistency may occur between the source and destination databases. In this case, the data synchronization task can run as expected.

    To prevent data inconsistency between the source and destination databases, we recommend that you set the data eviction policy of the destination database to noeviction. If the destination database is out of memory, DTS fails to write data and the data synchronization task fails. However, data loss does not occur in the destination database due to data eviction.

    Note

    For more information about data eviction policies, see How does Tair (Redis OSS-Compatible) evict data by default?

  • During data synchronization, if the endpoint of the self-managed Redis database is changed, you must reconfigure the task.

  • During data synchronization, we recommend that you use only DTS to write data to the destination instance. This prevents data inconsistency between the source and destination databases.

  • 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.

Billing

Synchronization typeTask configuration fee
Schema synchronization and full data synchronizationFree of charge.
Incremental data synchronizationCharged. 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

  • APPEND

  • 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)

  • XADD, XCLAIM, XDEL, XAUTOCLAIM, XGROUP CREATECONSUMER, and XTRIM

Note
  • 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.

Procedure

  1. Go to the Data Synchronization Tasks page.

    1. Log on to the Data Management (DMS) console.

    2. In the top navigation bar, click DTS.

    3. In the left-side navigation pane, choose DTS (DTS) > Data Synchronization.

    Note
  2. On the right side of Data Synchronization Tasks, select the region in which the data synchronization instance resides.

    Note

    If you use the new DTS console, you must select the region in which the data synchronization instance resides in the top navigation bar.

  3. Click Create Task. In the Create Data Synchronization Task wizard, configure the source and destination databases. The following table describes the parameters.

    Section

    Parameter

    Description

    N/A

    Task Name

    The name of the DTS task. DTS automatically generates a task name. We recommend that you specify a descriptive name that makes it easy to identify the task. You do not need to specify a unique task name.

    Source Database

    Select a DMS database instance

    The database that you want to use. You can choose whether to use an existing database based on your business requirements.

    • If you select an existing database, DTS automatically populates the parameters for the database.

    • If you do not select an existing database, you must configure the following database information.

    Database Type

    The type of the source database. Select Tair/Redis.

    Access Method

    The access method of the source database. Select Self-managed Database on ECS.

    Instance Region

    The region in which the source Redis database resides.

    Replicate Data Across Alibaba Cloud Accounts

    Specifies whether to synchronize data across Alibaba Cloud accounts. In this example, No is selected.

    ECS Instance ID

    The ID of the ECS instance that hosts the source Redis database.

    Note

    If the source Redis database is deployed in a cluster architecture, select the ID of the ECS instance in which a master node resides.

    Instance Mode

    The architecture in which the source Redis database is deployed. Select Standalone or Cluster.

    Port number

    The service port number of the source Redis database. Default value: 6379.

    Note

    If the source Redis database is deployed in a cluster architecture, enter the service port number of a master node.

    Database Password

    The password of the source Redis database.

    Note
    • This parameter is optional and can be left empty if no password is set.

    • 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 Redis database is admin and the password is Rp829dlwa, the database password is admin:Rp829dlwa.

    Destination Database

    Select a DMS database instance

    The database that you want to use. You can choose whether to use an existing database based on your business requirements.

    • If you select an existing database, DTS automatically populates the parameters for the database.

    • If you do not select an existing database, you must configure the following database information.

    Database Type

    The type of the destination instance. Select Tair/Redis.

    Access Method

    The access method of the destination instance. Select Alibaba Cloud Instance.

    Instance Region

    The region in which the destination Tair instance resides.

    Instance ID

    The ID of the destination Tair instance.

    Database Password

    The password of the destination Tair 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 destination Tair instance is admin and the password is Rp829dlwa, the database password is admin:Rp829dlwa.

  4. In the lower part of the page, click Test Connectivity and Proceed.

    If the source or destination database is an Alibaba Cloud database instance, such as an ApsaraDB RDS for MySQL or ApsaraDB for MongoDB instance, DTS automatically adds the CIDR blocks of DTS servers to the whitelist of the instance. If the source or destination database is a self-managed database hosted on an Elastic Compute Service (ECS) instance, DTS automatically adds the CIDR blocks of DTS servers to the security group rules of the ECS instance, and you must ensure that the ECS instance can access the database. If the source or destination database is a self-managed database that is deployed in a data center or provided by a third-party cloud service provider, you must manually add the CIDR blocks of DTS servers to the whitelist of the database to allow DTS to access the database. For more information, see Add the CIDR blocks of DTS servers.

    Warning

    If the CIDR blocks of DTS servers are automatically or manually added to the whitelist of the database or instance, or to the ECS security group rules, security risks may arise. Therefore, before you use DTS to synchronize data, you must understand and acknowledge the potential risks and take preventive measures, including but not limited to the following measures: enhancing the security of your username and password, limiting the ports that are exposed, authenticating API calls, regularly checking the whitelist or ECS security group rules and forbidding unauthorized CIDR blocks, or connecting the database to DTS by using Express Connect, VPN Gateway, or Smart Access Gateway.

  5. Configure the objects to be synchronized and advanced settings.

    Parameter

    Description

    Synchronization Types

    The synchronization type. By default, Full Data Synchronization + Incremental Data Synchronization is selected.

    Processing Mode of Conflicting Tables

    • Precheck and Report Errors: checks whether data exists in the destination database. If no data exists in the destination database, the precheck is passed. If data exists in the destination database, an error is returned during the precheck, and the data synchronization task cannot be started.

    • Ignore Errors and Proceed: skips the Check the existence of objects in the destination database. check item.

      Warning

      If you select Ignore Errors and Proceed, data loss may occur in the destination database because data records in the source database overwrite the data records that have the same keys in the destination database. Proceed with caution.

    Use Slave Node

    If the Instance Mode parameter of the source self-managed Redis database is set to Cluster, you can pull data from the master or slave nodes.

    Source Objects

    Select one or more objects from the Source Objects section and click the 向右 icon to add the objects to the Selected Objects section.

    Note

    You can select only databases as objects to be synchronized. Keys cannot be selected as objects to be synchronized.

    Selected Objects

    The objects that you select to synchronize. In this scenario, you cannot rename the objects.

  6. Click Next: Advanced Settings to configure advanced settings.

    • Data Verification Settings

      For more information about how to enable data verification, see Configure a data verification task.

    • Advanced settings

      Parameter

      Description

      Monitoring and Alerting

      Specifies whether to configure alerting for the data synchronization task. If the task fails or the synchronization latency exceeds the specified threshold, alert contacts will receive notifications. Valid values:

      Retry Time for Failed Connections

      The retry time range for failed connections. If the source or destination database fails to be connected after the data synchronization task is started, DTS immediately retries a connection within the time range. Valid values: 10 to 1440. Unit: minutes. Default value: 720. We recommend that you set this parameter to a value greater than 30. If DTS reconnects to the source and destination databases within the specified time range, DTS resumes the data synchronization task. Otherwise, the data synchronization task fails.

      Note
      • If you specify different retry time ranges for multiple data synchronization tasks that have the same source or destination database, the shortest retry time range takes precedence.

      • When DTS retries a connection, you are charged for the DTS instance. We recommend that you specify the retry time range based on your business requirements. You can also release the DTS instance at your earliest opportunity after the source and destination instances are released.

      Retry Time for Other Issues

      The retry time range for other issues. For example, if the DDL or DML operations fail to be performed after the data synchronization task is started, DTS immediately retries the operations within the time range. Valid values: 1 to 1440. Unit: minutes. Default value: 10. We recommend that you set the parameter to a value greater than 10. If the failed operations are successfully performed within the specified time range, DTS resumes the data synchronization task. Otherwise, the data synchronization task fails.
      Important The value of the The wait time before a retry when other issues occur in the source and destination databases parameter must be smaller than the value of the Retry Time for Failed Connection parameter.

      Enable Throttling for Incremental Data Migration

      The load on the destination instance may increase when DTS synchronizes incremental data to the destination instance. You can configure throttling thresholds for the number of rows and the amount of data that can be synchronized per second during incremental data synchronization based on your business requirements. This helps reduce the load on the destination instance.

      Extend Expiration Time of Destination Database Key

      The extended time period for keys synchronized from the source database to the destination instance to remain valid. Unit: seconds. If specific commands are used, such as the following commands, we recommend that you set the parameter to 600 to ensure data consistency.

      EXPIRE key seconds
      PEXPIRE key milliseconds
      EXPIREAT key timestamp
      PEXPIREAT key timestampMs

      Configure ETL

      Specifies whether to enable the extract, transform, and load (ETL) feature. For more information, see What is ETL? Valid values:

  7. Save the task settings and run a precheck.

    • To view the parameters to be specified when you call the relevant API operation to configure the DTS task, move the pointer over Next: Save Task Settings and Precheck and click Preview OpenAPI parameters.

    • If you do not need to view or have viewed the parameters, click Next: Save Task Settings and Precheck in the lower part of the page.

    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 data synchronization task fails the precheck, click View Details next to each failed item. After you analyze the causes based on the check results, troubleshoot the issues. Then, rerun the precheck.

    • If an alert is triggered for an item during the precheck:

      • If an alert item cannot be ignored, click View Details next to the failed item and troubleshoot the issue. Then, run a precheck again.

      • If an alert item can be ignored, click Confirm Alert Details. In the View Details dialog box, click Ignore. In the message that appears, click OK. Then, click Precheck Again to run a precheck again. If you ignore the alert item, data inconsistency may occur, and your business may be exposed to potential risks.

  8. Wait until the Success Rate becomes 100%. Then, click Next: Purchase Instance.

  9. On the buy page, configure the Billing Method and Instance Class parameters for the data synchronization instance. The following table describes the parameters.

    Section

    Parameter

    Description

    New Instance Class

    Billing Method

    • Subscription: You pay for a subscription when you create a data synchronization instance. The subscription billing method is more cost-effective than the pay-as-you-go billing method for long-term use.

    • Pay-as-you-go: A pay-as-you-go instance is billed on an hourly basis. The pay-as-you-go billing method is suitable for short-term use. If you no longer require a pay-as-you-go data synchronization instance, you can release the instance to reduce costs.

    Resource Group Settings

    The resource group to which the data synchronization instance belongs. Default value: default resource group. For more information, see What is Resource Management?

    Instance Class

    DTS provides instance classes that vary in synchronization speed. You can select an instance class based on your business requirements. For more information, see Instance classes of data synchronization instances.

    Subscription Duration

    If you select the subscription billing method, specify the subscription duration and the number of data synchronization instances that you want to create. The subscription duration can be one to nine months, one year, two years, three years, or five years.

    Note

    This parameter is available only if you select the Subscription billing method.

  10. Read and select Data Transmission Service (Pay-as-you-go) Service Terms.

  11. Click Buy and Start. In the dialog box that appears, click OK.

    You can view the progress of the task in the task list.