Serverless Storage on Amazon EMR Serverless now supports terabyte-scale shuffle

Amazon EMR Serverless Updates
Amazon EMR Serverless now supports up to 1TB shuffle operations, raising the previous 200 GB per-job limit. This enhancement enables enterprise customers to run production-scale Apache Spark workloads that require processing large volumes of shuffle data during complex operations such as joins, aggregations, and sorting.
This feature is available with Amazon emr-7.14, emr-spark-8.1 and later, in 18 AWS Regions where Amazon EMR Serverless is available.
What to do
- Migrate production workloads that process terabyte-scale datasets to Amazon EMR Serverless.
- Utilize the new spill support for memory-intensive operations.
- Check the Amazon EMR documentation for the full list of supported Regions and their applicable limits.
Source: AWS release notes
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