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

I came across the same issue and I could using coalesce solved my problem.

df
  .coalesce(3) // number of parts/files 
  .write.mode(SaveMode.Append)
  .parquet(s"$path")

For more information on using coalesce or repartition you can refer to the following spark: coalesce or repartition