Hadoop - Performance Tuning
Which parameter in a MapReduce job controls the maximum number of map tasks that can run simultaneously?
Which parameter in a MapReduce job controls the maximum number of map tasks that can run simultaneously?
easy📝 Conceptual Q1 of 15
Step-by-Step Solution
Solution:
Step 1: Understand map task concurrency control
The parameter that limits how many map tasks a TaskTracker can run at once is related to the TaskTracker configuration.Step 2: Identify the correct parameter
mapreduce.tasktracker.map.tasks.maximum sets the max concurrent map tasks per TaskTracker.Final Answer:
mapreduce.tasktracker.map.tasks.maximum -> Option CQuick Check:
Map task concurrency = mapreduce.tasktracker.map.tasks.maximum [OK]
Quick Trick: TaskTracker controls max concurrent maps, not job-level params [OK]
Common Mistakes:
- Confusing job-level and TaskTracker-level parameters
- Choosing mapreduce.job.maps which sets total maps, not concurrency
- Assuming mapreduce.job.running.maps.limit exists
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