How to Import Data From S3 to Aurora Postgres

Learn how to import data from S3 to Aurora Postgres. It’s not as hard as you think!

Import data from S3 to Aurora Postgres is a task of interest to many developers. Here’s how to accomplish such a thing!

How to Import Data From S3 to Aurora Postgres?

Import Data From S3 to Aurora Postgres: Part 1

To import data from S3 to Aurora Postgres, follow these steps:

1. Ensure you’re using AWS and the Amazon Simple Storage service.
2. Familiarise yourself with the aws_s3 extension and install it as this extension provides the functions necessary to import data from S3 to Aurora Postgres.
3. Ensure that you’re running PostgreSQL 10.7 or higher.
4. Ensure that the data you have is either an Excel (.csv) file, a text (.txt) or a JSON file, or upload the data you have in a compressed (gzip) fashion.
5. If you don’t have data stored on an Amazon S3 bucket, first create the bucket and store the data in the bucket.

Import Data From S3 to Aurora Postgres: Part 2

Once you’ve completed the steps outlined above, create an IAM role: an identity with specific permissions that doesn’t have its own long-term credentials. Set permissions to AmazonS3ReadOnlyAccess or a custom policy, then give it a Trust relationship. That will allow Aurora Postgres to assume the role.

Once that’s done, attach the IAM role to your Aurora cluster by visiting the RDS cluster through the AWS console, then modify the cluster and add the IAM role under “IAM roles.”

Then, enable the aws_s3 extension by connecting to your Aurora PostgreSQL instance and running an SQL query like the following:

CREATE EXTENSION IF NOT EXISTS `aws_s3`;

Finally, use the function aws_s3.table_import_from_s3 to import data from S3 to Aurora Postgres.

To install the AWS S3 extension, follow the steps outlined in the documentation of AWS.

Summary

To import data from S3 to Aurora Postgres, first ensure you’re using AWS, install the aws_s3 extension, ensure you’re running PostgreSQL 10.7 or higher, and store your data in an Amazon S3 bucket. Then, create an IAM role, attach the role to your Aurora Postgres cluster, enable the aws_s3 extension and import your data.

When importing data, don’t forget about data security either: data breach search engines like BreachDirectory.com will help you see if your data has been stolen in any data breach and also help you perform a wide variety of investigative activities on email addresses, usernames, Blockchain or IP addresses, or other data.

FAQ

How to Import Data From S3 to Aurora Postgres?

To import data from S3 to Aurora using PostgreSQL, ensure you’re using AWS, install the aws_s3 extension, run PostgreSQL 10.7 or higher, ensure your data is stored in an Amazon S3 bucket, then create an IAM role, attach it to your Aurora Postgres cluster, enable the extension, and import your data from .csv, .txt, or .gzip files.

Why Would I Use a Data Breach Search Engine Like BreachDirectory?

Consider using data breach search engines like BreachDirectory.com to see if your data has been stolen in any data breach and also help you perform a wide variety of investigative activities on email addresses, usernames, Blockchain or IP addresses, or other data.