![]() ![]() In the AdminViews directory, there are already several useful scripts. The best place to start before actually creating scripts is the AWSLABS GitHub repository. Fortunately, it is easy to create scripts that migrate this information directly from your source cluster and which can be run in the encrypted cluster to replicate the data that you require. Re-creating these accurately could be error-prone unless everything was created using scripts and every script source code–controlled. Amazon Redshift supports the creation of database users, creation of groups, and assignment of privileges to both groups and users. It can also import the data into another Amazon Redshift cluster and clean up S3.įor many applications, the Amazon Redshift cluster contains more than just application data. This tool exports data from a source cluster to a location on S3 and encrypts the data with the Amazon Key Management Service (Amazon KMS). You can make this process simpler still by using the Amazon Redshift Unload/Copy utility. Using a manifest file on COPY is a recommended practice. It also creates a manifest file that can be used to ensure that the COPY command loads all of the required files, and only the required files, into the encrypted cluster. This command splits the results of a SELECT statement across a set of files, one or more files per node slice, to simplify parallel reloading of the data. ![]() UNLOAD ('SELECT * FROM sample_table') TO 's3://mybucket/sample/sample_Table_' credentials 'aws_access_key_id= aws_secret_access_key= ' manifest Running UNLOAD from the source cluster and COPY in the new one migrates application data. ![]() Note that the list of schema names should be extended to reflect where you have created objects in your cluster. To determine the tables to UNLOAD, consider running a query such as the following: SELECT tablename FROM pg_tables WHERE schemaname = ‘public’ Moving the contents of your application’s data tables is straightforward, as Amazon Redshift provides an UNLOAD feature for this purpose. To encrypt a database after it has been created, it is necessary to stand up a new database and move the content from the unencrypted cluster to the new cluster where it will be encrypted. To enable this, encryption must be selected when the database is created. Because of the nature of some of the projects the acquired company has, they have a contractual obligation to encrypt data.Īmazon Redshift supports the encryption of data at rest, in the database and the associated snapshots. They want to move the acquired organization’s warehouse into the existing Amazon Redshift cluster, but with a new requirement. Each has a BI infrastructure and they believe consolidating platforms would lower expenses and simplify operations. The customer is acquiring another manufacturing company that is only slightly smaller than they are. What follows is an account of how you can use some of these tools as we did (this is not intended to be an exhaustive description of the content of that library). In the course of responding to their request, we made use of several tools available in the AWSLabs GitHub repository. John Loughlin is a Solutions Architect with Amazon Web Services.Ī customer came to us asking for help expanding and modifying their Amazon Redshift cluster. For more information, please review this “What’s New” post. NOTE : Amazon Redshift now supports enabling and disabling encryption with 1-click.
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