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DMS Redshift

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DMS Redshift

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  1. Amazon Redshift database as Target for AWS DMS

  2. Amazon Redshift database is a petabyte fully-managed data warehouse solution based in the cloud. Using it as a target, it is possible to migrate data from other supported database sources using the AWS Database Migration Service (DMS). However, it is essential to ensure that both the AWS account and the AWS Region for the replication instance must be in the same Redshift cluster. 

  3. The first step during a DMS Redshift database migration is for AWS DMS to move data to an Amazon Simple Storage Service (S3) bucket. Once the files are located in the Amazon S3 bucket, AWS DMS transfers them to the intended tables in the Amazon Redshift data warehouse. The S3 bucket is created in the same AWS Region as the Amazon Redshift database by AWS DMS. But while using AWS CLI or DMS API for DMS Redshiftmigration to Amazon Redshift, it is necessary to set up an AWS Identity and Access Management (IAM) path to get S3 access.   Full automation is provided for the following in Amazon Redshift. • Modifications made at source tables by incremental data • Data type mapping and generation of schema • The total load on database tables at source • Synchronization of Change Data Capture (CDC) and full load processes • Changes to application of schema in data definition language (DDL) made in the tables at source. For DMS Redshift migration there are a few fundamentals to be followed for using an Amazon Redshift database as a target for AWS Database Migration Service. 

  4. • The AWS Management Console is to be used for an Amazon Redshift cluster launch. The basic information like password, user name, and database name in the Amazon Redshift cluster and the AWS account has to be noted. These values are essential for creating the target endpoint Amazon Redshift. The AWS DMS replication instance must be connected through a network to the Amazon Redshift endpoint that is used by the cluster.  • An Amazon S3 bucket is used by AWS DMS to transfer data to the Amazon Redshift database. If AWS CLI or DMS API is used to create a database DMS Redshift migration with Redshift as the target database, it is necessary to create an IAM role.  

  5. • AWS DMS transforms BLOBs, CLOBs, and NCLOBs to a VARCHAR. However, Amazon Redshift does not support data types of VARCHAR which are more than 64 KB.  On the flip side, there are certain limitations of using Amazon Redshift as a target for AWS Data Migration Service since AWS DMS does not support the following scenarios. AWS DMS does not replicate or migrate a name starting with an underscore (__). Mapping transformations have to be used to change the schema name on the target. Finally, there is no support to an application of a DELETE statement to a multi-column primary key when any of the primary key columns is a reserved word.    

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