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  1. Categories >> Software >> Big Data >> Hadoop >> Apache Spark
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What happens if rdd partition is lost due to worker node failure?

Question Posted / Anurag Chaturvedi

Answer Posted / Anurag Chaturvedi

When an RDD partition is lost due to a worker node failure, Spark will recompute the missing data by resending the tasks that were executing on the failed worker node to another available worker. This process may cause a delay in task completion but ensures data integrity and availability.

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