How to load data from MySQL to S3 Glue

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

Try Airbyte Cloud Manual method (the hard way)

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Set up a MySQL 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 MySQL 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 MySQL 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 MySQL Database and Environment

Configure your MySQL database to be accessible from the AWS Glue service. Ensure that your database allows connections from the IP address range used by AWS Glue. You may need to update your database's security settings, such as your firewall or security group rules, to allow inbound connections.

Step 2: Create an AWS Glue Database

Log in to the AWS Management Console and navigate to the AWS Glue service. Create a new Glue database by selecting "Databases" under "Data Catalog" and clicking on "Add Database." This logical database will organize your data catalog tables.

Step 3: Establish an IAM Role for AWS Glue

Create an IAM role that AWS Glue can assume to access your MySQL database and write to Amazon S3. This role should have policies attached that allow the necessary read access to your database and write access to the specified S3 bucket. Make sure to select "AWS Glue" as the trusted entity when creating the role.

Step 4: Define a Connection in AWS Glue

In the AWS Glue console, create a new connection by navigating to "Connections" under "Data Catalog" and clicking "Add connection." Choose "JDBC" as the connection type, and provide the necessary connection details for your MySQL database, including the JDBC URL, username, and password. This connection will be used by AWS Glue to connect to your MySQL database.

Step 5: Create a Crawler to Catalog MySQL Data

Create an AWS Glue Crawler to scan and catalog your MySQL database. Navigate to "Crawlers" and click "Add crawler." Define the data source as the MySQL connection you created earlier and select the Glue database you set up. Run the crawler to populate the Glue Data Catalog with metadata about your MySQL tables.

Step 6: Develop and Run an AWS Glue ETL Job

Create an ETL job in AWS Glue to extract data from the MySQL tables and load it into an S3 bucket. In the AWS Glue console, navigate to "Jobs" and click "Add job." Use the Glue ETL script editor to define your job, specifying the source as your MySQL tables and the target as your S3 bucket. Choose the IAM role with Glue permissions, and configure the job to run on-demand or on a schedule.

Step 7: Monitor and Verify Data Transfer to S3

Once the ETL job runs, monitor its progress and check for any errors in the AWS Glue console under "Jobs." Review the logs to ensure that data is being extracted from MySQL and successfully written to S3. Verify the contents of the S3 bucket to ensure the data is transferred correctly, checking the file format and structure as needed.

By following these steps, you can effectively transfer data from a MySQL database to Amazon S3 using AWS Glue without relying on third-party connectors or integrations.