How to load data from Merge to S3 Glue

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

Try Airbyte Cloud Manual method (the hard way)

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Merge 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 Merge 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 Merge 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.

Try Airbyte Cloud Manual method (the hard way)

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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Try Airbyte Cloud Manual method (the hard way)

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Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

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How to Sync to Manually

Step 1: Set Up an Amazon RDS Database

Begin by ensuring your Amazon RDS instance is up and running. If it's not already set up, you need to create an RDS instance. You can do this through the AWS Management Console by selecting the Amazon RDS service, choosing the database engine, and configuring the necessary settings such as instance type, storage, and networking options.

Step 2: Configure IAM Roles and Policies

Create an IAM role for AWS Glue with the necessary permissions. This role should allow Glue to read from the RDS instance and write to the S3 bucket. Attach policies such as `AmazonRDSFullAccess` for access to RDS and `AmazonS3FullAccess` for access to S3. Ensure the role is trusted by the Glue service by updating the trust relationship.

Step 3: Create an Amazon S3 Bucket

Set up an S3 bucket where the data will be stored. You can create a new bucket via the AWS Management Console by navigating to the S3 service and clicking on "Create Bucket." Configure the bucket settings and permissions as necessary, ensuring the Glue service has write access to this bucket.

Step 4: Set Up AWS Glue Connection

In the AWS Glue Console, set up a database connection to your RDS instance. This involves specifying the connection name, choosing the connection type as JDBC, and entering the required connection details such as database name, username, password, and JDBC URL for the RDS instance. Ensure the Glue security configuration allows access to this connection.

Step 5: Create a Glue Crawler

Create a Glue Crawler to discover the schema of your RDS database. In the Glue Console, select "Crawlers" and then "Add Crawler." Define the data source as your RDS connection, and specify the output location in your Glue Data Catalog. Run the crawler to populate the Glue Data Catalog with the metadata of the RDS database tables.

Step 6: Develop a Glue ETL Job

Create a Glue ETL job to extract data from RDS and load it into S3. In the Glue Console, select "Jobs" and "Add job." Use the Glue ETL script editor to write a PySpark script that reads data from the RDS tables defined in your Glue Data Catalog and writes it to your S3 bucket. Specify the IAM role you created earlier for this job.

Step 7: Run and Monitor the Glue Job

Execute the Glue ETL job and monitor its progress. In the Glue Console, start the job and ensure it runs successfully. Check the job logs for any errors or issues. Once the job completes, verify that the data has been successfully written to the S3 bucket by checking the contents via the S3 Console.

By following these steps, you can efficiently transfer data from an Amazon RDS instance to an S3 bucket using AWS Glue without relying on any third-party connectors or integrations.