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Tag: Hadoop

Hadoop and Spark shuffling

Shuffling is generally the most costly operation that we encounter in Hadoop and Spark processing. It has a huge impact on processing performance and can be a bottleneck in cases when our big data requires a lot of grouping or joining. That’s why I think it’s worth to spend a while to understand how shuffle is handled by both of those engines.

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