If yarn.nodemanager.resource.memory-mb is set to 16384 MB and mapreduce.reduce.memory.mb is 4096 MB, how many reduce containers can run simultaneously on one node?

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Hadoop - Performance Tuning

If yarn.nodemanager.resource.memory-mb is set to 16384 MB and mapreduce.reduce.memory.mb is 4096 MB, how many reduce containers can run simultaneously on one node?

C16

Step-by-Step Solution

Solution:

Step 1: Understand total node memory and container size
Total memory per node is 16384 MB; each reduce container uses 4096 MB.
Step 2: Calculate number of containers
Divide total memory by container memory: 16384 / 4096 = 4 containers.
Final Answer:
4 -> Option A
Quick Check:
Containers = node memory / container memory [OK]

Quick Trick: Divide node memory by container memory for container count [OK]

Common Mistakes:

Ignoring total node memory limit
Confusing map and reduce memory values
Using wrong division order

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If yarn.nodemanager.resource.memory-mb is set to 16384 MB and mapreduce.reduce.memory.mb is 4096 MB, how many reduce containers can run simultaneously on one node?

Step 1: Understand total node memory and container size

Step 2: Calculate number of containers

Final Answer:

Quick Check:

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