[Solved] Given the following configuration snippet:mapreduce.task.io.sort.mb=100 mapreduce.task.io.sort.factor=10What effect does increasing mapreduce.task.io.sort.mb have on the MapReduce job? | Hadoop

Hadoop - Performance Tuning

Given the following configuration snippet:

mapreduce.task.io.sort.mb=100
mapreduce.task.io.sort.factor=10

What effect does increasing mapreduce.task.io.sort.mb have on the MapReduce job?

ALimits the number of map tasks running simultaneously

BDecreases the number of reduce tasks

CIncreases the memory allocated to reduce tasks

DIncreases the buffer size for sorting map outputs, reducing spills

Step-by-Step Solution

Solution:

Step 1: Understand map output sorting buffer
mapreduce.task.io.sort.mb sets the size of the buffer used to sort map outputs before spilling to disk.
Step 2: Effect of increasing buffer size
Larger buffer reduces the number of spills to disk, improving performance.
Final Answer:
Increases the buffer size for sorting map outputs, reducing spills -> Option D
Quick Check:
mapreduce.task.io.sort.mb controls map output buffer size [OK]

Quick Trick: Bigger sort buffer means fewer spills and better map performance [OK]

Common Mistakes:

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