How fault tolerance is achieved in Apache Spark

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Hi,

I have a doubt that Hadoop uses replication factor to achieve fault tolerance so for Apache spark how this is achieved?
Jul 22, 2019 in Apache Spark by Kesha
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1 answer to this question.

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Hey,

In Apache Spark, the data storage model is based on RDD.

  • RDDs help to achieve fault tolerance through the lineage.
  • RDD always has information on how to build from other datasets.
  • If any partition of an RDD is lost due to failure, lineage helps build only that particular lost partition.
answered Jul 22, 2019 by Gitika
• 65,870 points

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