What scenario would you like to optimize for? If you have something more specific regarding your use case, the mailing list can surely provide you with some very good advice.
If you just want to save an RDD as Avro you can use a module from Databricks (the README on GitHub <https://github.com/databricks/spark-avro> also gives you some example), otherwise Parquet is natively supported by Spark SQL, the official documentation contains useful examples <http://spark.apache.org/docs/latest/sql-programming-guide.html#parquet-files> . On Thu, Nov 5, 2015 at 12:09 AM, swetha <swethakasire...@gmail.com> wrote: > Hi, > > What is the efficient approach to save an RDD as a file in HDFS and > retrieve > it back? I was thinking between Avro, Parquet and SequenceFileFormart. We > currently use SequenceFileFormart for one of our use cases. > > Any example on how to store and retrieve an RDD in an Avro and Parquet file > formats would be of great help. > > Thanks, > Swetha > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Efficient-approach-to-store-an-RDD-as-a-file-in-HDFS-and-read-it-back-as-an-RDD-tp25279.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 > > -- BR, Stefano Baghino Software Engineer @ Radicalbit
