Spark dataframe write method writing many small files

Question

I\'ve got a fairly simple job coverting log files to parquet. It\'s processing 1.1TB of data (chunked into 64MB - 128MB files - our block size is 128MB), which is approx 12

Answer 1

you have to repartiton your DataFrame to match the partitioning of the DataFrameWriter

Try this:

df
.repartition($"date")
.write.mode(SaveMode.Append)
.partitionBy("date")
.parquet(s"$path")