What happens if RDD partition is lost due to worker node failure?

1.	What happens if RDD partition is lost due to worker node failure?
Answer» In Spark, if any partition of an RDD is lost due to the failure of a worker node, that partition can be re-computed USING the LINEAGE of operations from the original fault-tolerant dataset. 12. What is spark GraphX used for? Here are the uses of GraphX in Spark: It can be used for unifying ETL, exploratory analysis, and COMPUTATION of iterative graphs within a single system. It can be used to present DATA in the form of graphs and collections while transforming and joining charts with RDD. It can be used for writing custom iterative GRAPH algorithms with the help of Pregel API.

Answer»

In Spark, if any partition of an RDD is lost due to the failure of a worker node, that partition can be re-computed USING the LINEAGE of operations from the original fault-tolerant dataset.

12. What is spark GraphX used for?

Here are the uses of GraphX in Spark:

It can be used for unifying ETL, exploratory analysis, and COMPUTATION of iterative graphs within a single system.
It can be used to present DATA in the form of graphs and collections while transforming and joining charts with RDD.
It can be used for writing custom iterative GRAPH algorithms with the help of Pregel API.

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What happens if RDD partition is lost due to worker node failure?

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