[SPARK-7698] Implement buffer pooling / re-use in ExecutorMemoryManager when using HeapAllocator

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.4.0
• Component/s: Spark Core
• Target Version/s: 1.4.0
• Epic Link: Tungsten Phase 1
• Assignee: Josh Rosen
• Reporter: Josh Rosen
• Created: 18/May/15 02:57
• Updated: 20/May/15 23:39
• Resolved: 20/May/15 23:39

Description

When on-heap memory allocation is used, ExecutorMemoryManager should maintain a cache / pool of buffers for re-use by tasks. This will significantly improve the performance of the new Tungsten's sort-shuffle for jobs with many short-lived tasks by eliminating a major source of GC.

Issue Links

• links to: [Github] Pull Request #6227 (JoshRosen)