How to load data from Postgres to S3 Glue

Learn how to use Airbyte to synchronize your Postgres data into S3 Glue within minutes.

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Set up a Postgres connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up S3 Glue for your extracted Postgres data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Postgres to S3 Glue in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Set Up Your AWS Environment

Before you start, ensure that you have an AWS account with the appropriate permissions to create and manage AWS Glue, S3, and IAM resources. Log in to the AWS Management Console.

Navigate to the S3 service in the AWS Management Console and create a new S3 bucket where you will store the exported data from PostgreSQL. Ensure that the bucket's permissions and policies are set to allow access from AWS Glue and any other necessary AWS services.

Ensure your PostgreSQL database is accessible from AWS. This might require whitelisting the IP addresses of AWS services or setting up a VPN. Also, make sure you have the necessary credentials and permissions to access the database.

Go to the IAM service in the AWS Management Console and create a new role for AWS Glue. Attach the following policies to this role:
- AmazonS3FullAccess (or a custom policy with permissions limited to your specific S3 bucket).
- AWSGlueServiceRole.
- A policy that allows access to your PostgreSQL database (if needed, for example, through AWS Secrets Manager).

In the AWS Glue console, go to the "Connections" section and create a new connection. Choose JDBC as the connection type and enter the necessary details to connect to your PostgreSQL database, including the database URL, username, and password.

Create a new Glue Crawler that uses the connection you just set up. Configure the crawler to source data from your PostgreSQL database. Specify the database schema and tables you wish to export. Set the crawler to update the Glue Data Catalog with the table metadata.

Create a new Glue ETL job that reads data from the tables cataloged by your crawler and writes it to your S3 bucket in the desired format (such as CSV, Parquet, or JSON). Use the AWS Glue Studio or AWS Glue Job Script Editor to define and configure this ETL job. Once configured, run the job to transfer the data from PostgreSQL to your S3 bucket.

By following these steps, you can effectively move data from a PostgreSQL database to an S3 bucket using AWS Glue, leveraging AWS's native services without the need for third-party tools.