Spark 3 Use Cases
This page lists the different Spark 3 use cases.
Use Case 1: Gradual Migration Strategy
Scenario: Organization wants to upgrade from Spark 3.3.3 to Spark 3.5.5
Solution:
- Install Spark 3.5.5 alongside existing Spark 3.3.3
- Test critical applications on Spark 3.5.5
- Migrate applications incrementally
- Decommission Spark 3.3.3 once all applications are migrated
Benefits: Controlled migration with minimal risk
Use Case 2: Multi-Team Environment
Scenario: Different teams use different Spark versions
Solution:
- Team A uses Spark 3.5.5 for new ML pipelines
- Team B maintains Spark 3.3.3 for legacy ETL jobs
- Team C tests Spark 3.5.1 for compatibility
Benefits: Independent team velocities without infrastructure conflicts
Use Case 3: Development & Testing
Scenario: Test Spark upgrades with production data
Solution:
- Deploy Spark 3.5.5 in a production cluster
- Test applications with production data
- Compare performance and compatibility
- Make informed upgrade decisions
Benefits: Accurate testing without separate environments
Use Case 4: Vendor Application Support
Scenario: Third-party applications certified for specific Spark versions
Solution:
- Run certified applications on their required Spark version
- Deploy newer applications on the latest Spark version
- Maintain compliance and support agreements
Benefits: Flexibility without compromising vendor support