If you like to add an additional filter for tables use c. The general strategy is to Unload table data from a Redshift cluster to a file on an S3 Bucket, then Load the data from that file back into a different table in. Lets see an overview, but first, what Is IAM IAM is AWS Identity and Access Management and. Sign in to the AWS Management Console and open the Amazon Redshift console at On the navigation menu, choose Clusters, Snapshots, then choose the Snapshot schedules tab. Where n.nspname in ('schema1','schema2') Cluster Management Permissions Access to Database Permissions. It exports data from a source cluster to a location on. Left join pg_namespace n on c.relnamespace=n.oid The Amazon Redshift Unload/Copy Utility helps you to migrate data between Redshift Clusters or Databases. Here is the SQL to generate UNLOAD statements select 'unload (''select * from '||n.nspname||'.'||c.relname||''') to ''s3_location'' You can use a single COPY command to load data for one table from multiple files. Restore a redshift cluster from the snapshot. With cross-database queries, you can query data from any database in the Amazon Redshift cluster, regardless of which database you are connected to. A COPY command loads large amounts of data efficiently. This AWS doc for copying a db to another AWS account is a guide, you can do. To me, option 1 looks the easiest, let me know if you need any help with that. By using cross-database queries in Amazon Redshift, you can query across databases in an Amazon Redshift cluster. If the number of tables which will be excluded from copy is not big you can CTAS them with BACKUP NO option, thus they will not be included when you create a snapshot. I believe unload a schema is not available, but you have couple of options based on the size of your cluster and number of tables you like to copy to the new cluster.Ĭreate a script to generate UNLOAD and LOAD commands based on your schemas you like to copyĬreate a snapshot, restore tables selectively.
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