spark-version-upgrade

Upgrade Apache Spark applications between major versions with a structured, phase-by-phase workflow.

When to Use

• Migrating from Spark 2.x → 3.x or Spark 3.x → 4.x
• Updating PySpark, Spark SQL, or Structured Streaming applications
• Resolving deprecation warnings before a Spark version bump

Workflow Overview

1. Inventory & Impact Analysis — Scan the codebase and assess scope
2. Build File Updates — Bump Spark/Scala/Java dependencies
3. API Migration — Replace deprecated and removed APIs
4. Configuration Migration — Update Spark config properties
5. SQL & DataFrame Migration — Fix query-level breaking changes
6. Test Validation — Compile, run tests, verify results