Compare Apache YARN’sand MapReduce’s parallelism functions.Give critique on the MapReduce in terms of its strengths, weaknesses and application areas.(
Difference between YARN and MAP REDUCE
1. YARN was introduced in Hadoop 2.0 whereas Map Reduce was in Hadoop 1.0
2. YARN is only responsible for the resource management part, but Map Reduce is responsible for Resource Management as well as data processing.
3. Execution Model of YARN is generic as compared to the less generic model of execution in Map Reduce.
4. YARN is able to execute applications that follow or not follow the Map Reduce model, but Map Reduce only executes an application that follows its model.
5. YARN is much more isolated and scalable. But Map Reduce is less scalable compared to YARN.
Map Reduce has several issues that were overcome by YARN in Hadoop 2.0 like in Hadoop 1.0 Job Tracker had to only do the resource management which became a burden for it and applications at times fail.
The second problem was that in Map Reduce a single point of failure was there. If Job Tracker fails then the whole system has to be restarted again for execution which wasn't practical.
This in turn can result in loss of data and have critical impact on business.
Compare Apache YARN’sand MapReduce’s parallelism functions.Give critique on the MapReduce in terms of its strengths, weaknesses...
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