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Describe coalesce() operation. When can you coalesce to a larger number of partitions? Explain.
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Answer Posted / Raj Ratna Singh
Coalesce operation in Apache Spark is used to reduce the total number of partitions of an RDD, DataFrame, or Dataset. This can help save memory when dealing with large datasets as it consolidates smaller partitions into larger ones. However, coalescing to a larger number of partitions than necessary should be avoided because it can lead to slower performance due to increased shuffle operations. Coalescing is useful when the application needs to reduce the overhead of managing many small partitions but still wants to maintain a reasonable number of partitions for efficient computation.
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