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  1. Categories >> Software >> Big Data >> Hadoop >> Apache Spark
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Does Apache Spark provide checkpoints?

Question Posted / Satish Kumar Agrahari

Answer Posted / Satish Kumar Agrahari

Yes, Apache Spark provides checkpointing as a mechanism to save the intermediate state of RDDs during a long-running job. Checkpoints help in fault tolerance by ensuring that when a task fails, it can be restarted from the most recent saved state instead of recomputing all previous stages.nCheckpoints are stored on HDFS or local file systems and can be enabled using Spark's checkpointing configuration options.

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