spark.sql.files.maxPartitionBytes

As an AI language model, I don't have personal opinions, but I can explain what spark.sql.files.maxPartitionBytes means.

In Spark SQL, spark.sql.files.maxPartitionBytes is a configuration property that sets the maximum partition size for file-based data sources. When reading data from a file-based data source, Spark SQL divides the data into partitions that can be processed in parallel. The size of each partition is determined by the spark.sql.files.maxPartitionBytes parameter.

Setting the value of spark.sql.files.maxPartitionBytes too high can result in a small number of large partitions, which can lead to inefficient processing. Setting the value too low can result in a large number of small partitions, which can also lead to inefficiencies due to the overhead of managing many partitions.

The default value for spark.sql.files.maxPartitionBytes is 128 MB. However, the optimal value for this parameter depends on the size of the input files, the available memory, and the processing resources. Therefore, it is recommended to experiment with different values to find the optimal setting for a given workload.