We will discuss how to set up a remote dev environment on an EMR cluster deployed in a private subnet with VPN and the VS Code remote SSH extension. Typical Spark development examples will be illustrated while sharing the cluster with multiple users. Overall it brings an effective way of developing Spark apps on EMR, which improves developer experience significantly.
We'll discuss how to implement data warehousing ETL using Iceberg for data storage/management and Spark for data processing. A Pyspark ETL app will be used for demonstration in an EMR local environment. Finally the ETL results will be queried by Athena for verification.
We'll discuss how to create a Spark local dev environment for EMR using Docker and/or VSCode. A range of Spark development examples are demonstrated and Glue Catalog integration is illustrated as well.
Recently AWS Glue 3.0 was released but a docker image for this version is not published. In this post, Iβll illustrate how to create a development environment for AWS Glue 3.0 (and later versions) by building a custom docker image.
In this post, I'll demonstrate how to build development environments for AWS Glue 1.0 and 2.0 using the Docker image and the Visual Studio Code Remote - Containers extension.