Hi, as part of our work we needed more control over the name of the files written out by Spark, e.g instead of "part-...csv.gz" we want to get something like this "15988891_1748330679_20200507124153.tsv.gz" where the first number is hardcoded, the second one is the value from partitionBy and third is a timestamp in provided SimpleDateFormat.
After a long research for possibilities, the most common way is to find those files and rename them *after* the spark job has finished. We tried to find a more efficient way. We decided to implement a new DataSource which is actually a wrapper to most standard Spark file formats (csv, json, text, parquet, avro), which allows us to rename the file before it's written. In short, this is how it works : Datasource extends FileFormat and implements prepareWrite - which redirects to local FileNameOutputWriterFactory TypeFactory which redirects to original Spark Formats FileNameOutputWriterFactory which actually do the work and by reflection can call any implementation to control the file name The question is - is this interesting/useful enough for the community? Should we open-source it? Thanks! p.s we wrote the same question on spark channel on ASF if you want to discuss it there: https://the-asf.slack.com/archives/CD5UQDNBA/p1589117451069600 -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
