PySpark: spit out single file when writing instead of multiple part files

Question

Is there a way to prevent PySpark from creating several small files when writing a DataFrame to JSON file?

If I run:

 df.write.format(\'json\').save(         


        

Answer 1

df1.rdd.repartition(1).write.json('myfile.json')

Would be nice, but isn't available. Check this related question. https://stackoverflow.com/a/33311467/2843520

Answer 2

Well, the answer to your exact question is coalesce function. But as already mentioned it is not efficient at all as it will force one worker to fetch all data and write it sequentially.

df.coalesce(1).write.format('json').save('myfile.json')

P.S. Btw, the result file is not a valid json file. It is a file with a json object per line.

Answer 3

This was a better solution for me.

rdd.map(json.dumps) .saveAsTextFile(json_lines_file_name)