Have you seen this thread ?
http://search-hadoop.com/m/q3RTtWmyYB5fweR&subj=Re+Best+way+to+store+Avro+Objects+as+Parquet+using+SPARK
On Thu, May 26, 2016 at 6:55 AM, Govindasamy, Nagarajan <
ngovindas...@turbine.com> wrote:
> Hi,
>
> I am trying to save RDD of Avro GenericRecord as parquet. I am using Spark
> 1.6.1.
>
>
> DStreamOfAvroGenericRecord.foreachRDD(rdd =>
> rdd.toDF().write.parquet("s3://bucket/data.parquet"))
>
> Getting the following exception. Is there a way to save Avro GenericRecord
> as Parquet or ORC file?
>
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> *java.lang.UnsupportedOperationException: Schema for type
> org.apache.avro.generic.GenericRecord is not supported at
> org.apache.spark.sql.catalyst.ScalaReflection$class.schemaFor(ScalaReflection.scala:715)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:30)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$schemaFor$1.apply(ScalaReflection.scala:690)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$schemaFor$1.apply(ScalaReflection.scala:689)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$class.schemaFor(ScalaReflection.scala:689)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:30)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$class.schemaFor(ScalaReflection.scala:642)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:30)
> at
> org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:414)
> at
> org.apache.spark.sql.SQLImplicits.rddToDataFrameHolder(SQLImplicits.scala:155)*
>
> Thanks,
>
> Raj
>
