Thanks for the info Soumitra.. its a good start for me. Just wanted to know how you are managing schema changes/evolution as parquetSchema is provided to setSchema in the above sample code.
On Tue, Oct 7, 2014 at 10:09 AM, Soumitra Kumar <kumar.soumi...@gmail.com> wrote: > I have used it to write Parquet files as: > > val job = new Job > val conf = job.getConfiguration > conf.set (ParquetOutputFormat.COMPRESSION, > CompressionCodecName.SNAPPY.name ()) > ExampleOutputFormat.setSchema (job, MessageTypeParser.parseMessageType > (parquetSchema)) > rdd saveAsNewAPIHadoopFile (rddToFileName (outputDir, em, time), > classOf[Void], classOf[Group], classOf[ExampleOutputFormat], conf) > > ----- Original Message ----- > From: "bdev" <buntu...@gmail.com> > To: u...@spark.incubator.apache.org > Sent: Tuesday, October 7, 2014 9:51:40 AM > Subject: Re: Kafka->HDFS to store as Parquet format > > After a bit of looking around, I found saveAsNewAPIHadoopFile could be used > to specify the ParquetOutputFormat. Has anyone used it to convert JSON to > Parquet format or any pointers are welcome, thanks! > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Kafka-HDFS-to-store-as-Parquet-format-tp15768p15852.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 > >
