Spark Stages And Tasks (Part-2) | Spark Wide and Narrow T/F | Bigdata Interview Question and Answers

#SparkStagesAndTasks #SparkExecutorAndDriver #ByCleverStudies
In this video you will learn Spark Stages And Tasks and also get additional knowledge on Spark Wide and Narrow Transformations.
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Thank you !

[@tanishqduggal1877]

God level explanations !! It all makes sense now to me. Thank you so much for these in-depth concept explanation videos.

[@TheAshish456]

Small correction...number of tasks need to be equal to number of executors.. if one executors has 5 cores.. number of tasks running on one executor will be 5.

[@saikiranchittaluri2837]

Thanks its so clear!!!!!

[@ravikrish006]

Executor can have many tasks. Depends on cores. #cores=#tasks.

[@Shihtzu1012]

Cristal cleared

[@gobieee1]

what is the scope of the executor process? will it die after completing the given task? or will wait for another task with narrow transformations ?