Hi, I had the same problem. One option (starting with Spark 1.2, which is currently in preview) is to use the Avro library for Spark SQL.
Other is using Kryo Serialization. by default spark uses Java Serialization, you can specify kryo serialization while creating spark context. val conf = new SparkConf().set("spark.serializer", "org.apache.spark.serializer.KryoSerializer") val sc = new SparkContext(conf) This worked for me. Regards, Anish -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/java-io-NotSerializableException-org-apache-avro-mapred-AvroKey-using-spark-with-avro-tp15165p20761.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