Unfortunately, I couldn’t figure it out without involving Avro. Here is something that may be useful since it uses Avro generic records (so no case classes needed) and transforms to Parquet.
http://blog.cloudera.com/blog/2014/05/how-to-convert-existing-data-into-parquet/ HTH, Mahesh From: "Anita Tailor [via Apache Spark User List]" <ml-node+s1001560n7939...@n3.nabble.com<mailto:ml-node+s1001560n7939...@n3.nabble.com>> Date: Thursday, June 19, 2014 at 12:53 PM To: Mahesh Padmanabhan <mahesh.padmanab...@twc-contractor.com<mailto:mahesh.padmanab...@twc-contractor.com>> Subject: Re: Spark streaming RDDs to Parquet records I have similar case where I have RDD [List[Any], List[Long] ] and wants to save it as Parquet file. My understanding is that only RDD of case classes can be converted to SchemaRDD. So is there any way I can save this RDD as Parquet file without using Avro? Thanks in advance Anita On 18 June 2014 05:03, Michael Armbrust <[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=0>> wrote: If you convert the data to a SchemaRDD you can save it as Parquet: http://spark.apache.org/docs/latest/sql-programming-guide.html#using-parquet On Tue, Jun 17, 2014 at 11:47 PM, Padmanabhan, Mahesh (contractor) <[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=1>> wrote: Thanks Krishna. Seems like you have to use Avro and then convert that to Parquet. I was hoping to directly convert RDDs to Parquet files. I’ll look into this some more. Thanks, Mahesh From: Krishna Sankar <[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=2>> Reply-To: "[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=3>" <[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=4>> Date: Tuesday, June 17, 2014 at 2:41 PM To: "[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=5>" <[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=6>> Subject: Re: Spark streaming RDDs to Parquet records Mahesh, * One direction could be : create a parquet schema, convert & save the records to hdfs. * This might help https://github.com/massie/spark-parquet-example/blob/master/src/main/scala/com/zenfractal/SparkParquetExample.scala Cheers <k/> On Tue, Jun 17, 2014 at 12:52 PM, maheshtwc <[hidden email]</user/SendEmail.jtp?type=node&node=7939&i=7>> wrote: Hello, Is there an easy way to convert RDDs within a DStream into Parquet records? Here is some incomplete pseudo code: // Create streaming context val ssc = new StreamingContext(...) // Obtain a DStream of events val ds = KafkaUtils.createStream(...) // Get Spark context to get to the SQL context val sc = ds.context.sparkContext val sqlContext = new org.apache.spark.sql.SQLContext(sc) // For each RDD ds.foreachRDD((rdd: RDD[Array[Byte]]) => { // What do I do next? }) Thanks, Mahesh -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-streaming-RDDs-to-Parquet-records-tp7762.html Sent from the Apache Spark User List mailing list archive at Nabble.com. ________________________________ This E-mail and any of its attachments may contain Time Warner Cable proprietary information, which is privileged, confidential, or subject to copyright belonging to Time Warner Cable. This E-mail is intended solely for the use of the individual or entity to which it is addressed. If you are not the intended recipient of this E-mail, you are hereby notified that any dissemination, distribution, copying, or action taken in relation to the contents of and attachments to this E-mail is strictly prohibited and may be unlawful. If you have received this E-mail in error, please notify the sender immediately and permanently delete the original and any copy of this E-mail and any printout. ________________________________ If you reply to this email, your message will be added to the discussion below: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-streaming-RDDs-to-Parquet-records-tp7762p7939.html To unsubscribe from Spark streaming RDDs to Parquet records, click here<http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=7762&code=bWFoZXNoLnBhZG1hbmFiaGFuQHR3Yy1jb250cmFjdG9yLmNvbXw3NzYyfDE3Mjg5ODI4OTI=>. NAML<http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
