How to load CSV data to RDS Aurora table using lambda?

+1 vote

I have one csv file stored into the amazon s3 . What i want to do is read that csv file using Lambda and save that to RDS Aurora (Note : Check here if data is exist then update or insert that data) . After inserting all data i want to take dump of them back to amazon s3 .

How can i perform this tasks , any help would be great

Jul 26, 2018 in AWS by bug_seeker
• 15,350 points

1 answer to this question.

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Launch an Amazon RDS MySQL database engine instance in your default Amazon VPC. In the MySQL instance, you create a database (ExampleDB) with a sample table (Employee) in it. For more information about Amazon RDS, see Amazon RDS.

  • Create a Lambda function to access the ExampleDB database, create a table (Employee), add a few records, and retrieve the records from the table.

  • Invoke the Lambda function manually and verify the query results. This is how you verify that your Lambda function was able to access the RDS MySQL instance in the VPC.


This tutorial uses the default Amazon VPC in the us-east-1 region in your account. For more information about Amazon VPC, see How to Get Started with Amazon VPCin the Amazon VPC User Guide.

answered Jul 26, 2018 by Priyaj
• 56,900 points

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