Create an S3 bucket where we store the logs exported from the database.Launch an Amazon Elastic Compute Cloud (Amazon EC2) instance to access the database instance with psql client installed and configured.For instructions on provisioning an instance, see Create and Connect to a PostgreSQL Database with Amazon RDS Create an RDS for PostgreSQL instance (version 12.5 or higher).
CSV TO AWS POSTGRESQL INSTALL
Install and configure the AWS Command Line Interface (AWS CLI).Create or have access to an AWS account.Before you get started, make sure you complete the following prerequisites. Prerequisitesįor this post, we use an Amazon RDS for PostgreSQL instance. We also show you an example of how you can filter the engine logs and export only the DML statements to Amazon S3. In this post, we show you how you can use the PostgreSQL extensions and automate the export of PostgreSQL logs directly to Amazon S3. With these extensions, you can copy and archive the PostgreSQL database logs directly over to Amazon S3. With the addition of the pg_cron extension for Amazon RDS for PostgreSQL (version 12.5 and higher) and for Amazon Aurora for PostgreSQL (version 12.6+), you can now automate exports of PostgreSQL engine logs directly to Amazon S3 by using the PostgreSQL extensions log_fdw, aws_s3, and pg_cron. Do you want to copy or archive your Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition logs directly to Amazon Simple Storage Service (Amazon S3)? Does your organization have the regulatory requirements to audit all the DDL or DML activity against your RDS for PostgreSQL database?
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