Hi I am having couple of Spark jobs which processes thousands of files every day. File size may very from MBs to GBs. After finishing job I usually save using the following code
finalJavaRDD.saveAsParquetFile("/path/in/hdfs"); OR dataFrame.write.format("orc").save("/path/in/hdfs") //storing as ORC file as of Spark 1.4 Spark job creates plenty of small part files in final output directory. As far as I understand Spark creates part file for each partition/task please correct me if I am wrong. How do we control amount of part files Spark creates? Finally I would like to create Hive table using these parquet/orc directory and I heard Hive is slow when we have large no of small files. Please guide I am new to Spark. Thanks in advance. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-do-we-control-output-part-files-created-by-Spark-job-tp23649.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org