Did you have a look at my reply in this thread? http://apache-spark-user-list.1001560.n3.nabble.com/How-can-I-read-this-avro-file-using-spark-amp-scala-td19400.html
I am using 1.1.0 though, so not sure if that code would work entirely with 1.0.0, but you can try. Simone Franzini, PhD http://www.linkedin.com/in/simonefranzini On Sat, Nov 29, 2014 at 5:43 AM, Vikas Agarwal <vi...@infoobjects.com> wrote: > Just in case it helps: https://github.com/databricks/spark-avro > > On Fri, Nov 28, 2014 at 8:48 PM, cjdc <cristovao.corde...@cern.ch> wrote: > >> To make it simpler, for now forget the snappy compression. Just assume >> they >> are binary Avro files... >> >> >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-1-0-0-RDD-from-snappy-compress-avro-file-tp19998p20008.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 >> >> > > > -- > Regards, > Vikas Agarwal > 91 – 9928301411 > > InfoObjects, Inc. > Execution Matters > http://www.infoobjects.com > 2041 Mission College Boulevard, #280 > Santa Clara, CA 95054 > +1 (408) 988-2000 Work > +1 (408) 716-2726 Fax > >
