Optimizing Output File Size in Apache Spark

Optimising Output File Size in Apache Spark

A Comprehensive Guide on Managing Partitions, Repartition, and Coalesce Operations

Picture yourself at the helm of a large Spark data processing operation. One often-mentioned rule of thumb in Spark optimisation discourse is that for the best I/O performance and enhanced parallelism, each data file should hover around the size of 128Mb, which is the default partition size when reading a file [1].

Imagine your files as …

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