What happens to RDD when one of the nodes goes down?

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In Spark, data is distributed on the different nodes in the form of RDD. What happens if one of the node goes down where RDD is distributed?

Thanks in advance!
Sep 3, 2018 in Apache Spark by Shubham
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Whenever a node goes down, Spark knows how to prepare a certain data set because it is aware of various transformations and actions that have lead to the dataset in the form of a DAG, it will be able to apply the same transformations and actions to prepare the lost partition of the node which has gone down.

Hope this will help!
answered Sep 3, 2018 by nitinrawat895
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