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Explain the repartition() operation in Spark?

Question Posted / Narayan Singh Parihar

Answer Posted / Narayan Singh Parihar

The repartition() operation in Spark is used to redistribute a DataFrame or RDD into a specified number of partitions. This operation can be useful for improving the parallelism of tasks when processing large datasets, and it helps ensure that data is evenly distributed across all executors.

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