For a Hadoop cluster facing performance issues with specific types of jobs, what targeted tuning technique would be effective?

  • Input Split Size Adjustment
  • Map Output Compression
  • Speculative Execution
  • Task Tracker Heap Size
When addressing performance issues with specific types of jobs, utilizing speculative execution can be effective. Speculative execution involves launching backup tasks for slower tasks, ensuring that the job completes faster by using additional resources if needed. This is particularly useful for handling straggler tasks.
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