Save a large Spark Dataframe as a single json file in S3

Question

Im trying to save a Spark DataFrame (of more than 20G) to a single json file in Amazon S3, my code to save the dataframe is like this :

dataframe.repartition(1)         


        

Answer 1

I would try separating the large dataframe into a series of smaller dataframes that you then append into the same file in the target.

df.write.mode('append').json(yourtargetpath)

Answer 2

Try this

dataframe.write.format("org.apache.spark.sql.json").mode(SaveMode.Append).save("hdfs://localhost:9000/sampletext.txt");

Answer 3

s3a is not production version in Spark I think. I would say the design is not sound. repartition(1) is going to be terrible (what you are telling spark is to merge all partitions to a single one). I would suggest to convince the downstream to download contents from a folder rather than a single file