Upgrade AWS Glue jobs to Glue 6.0 with AI-powered Spark upgrades

This article demonstrates how to upgrade AWS Glue jobs from version 5.1 to 6.0 using generative AI-powered upgrade analysis that automatically identifies and fixes compatibility issues.

• AWS Glue 6.0 runs Apache Spark 4.1 with Python 3.13, introducing breaking changes like ANSI SQL mode enabled by default and removed legacy Parquet configurations
• Upgrade analysis automatically identifies incompatibilities, applies migration rules, and validates results with data quality checks before recommending changes
• Example job upgrade resolved three issues: renamed legacy Parquet configs, updated Python module versions for Python 3.13 compatibility, and replaced cast() with try_cast() for ANSI mode strict type checking
• AWS Glue 6.0 delivers up to 36% better price performance, Iceberg v3, Spark Declarative Pipelines, Real-Time Mode, and Arrow-native Python UDFs
• New python-virtual-env-storage-prefix feature provides service-managed virtual environments with S3 caching for faster cold starts

The AI-powered upgrade analysis streamlines migration to AWS Glue 6.0 by automating compatibility fixes and validating correctness without manual intervention.