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.
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