Spark 2.0.2 with Kafka source, Error please help!

[shyla deshpande]

I am using protobuf to encode. This may not be related to the new release
issue....

Exception in thread "main" scala.ScalaReflectionException: <none> is not a
term
at scala.reflect.api.Symbols$SymbolApi$class.asTerm(Symbols.scala:199)
at
scala.reflect.internal.Symbols$SymbolContextApiImpl.asTerm(Symbols.scala:84)
at
org.apache.spark.sql.catalyst.ScalaReflection$class.constructParams(ScalaReflection.scala:811)
at
org.apache.spark.sql.catalyst.ScalaReflection$.constructParams(ScalaReflection.scala:39)
at
org.apache.spark.sql.catalyst.ScalaReflection$class.getConstructorParameters(ScalaReflection.scala:800)
at
org.apache.spark.sql.catalyst.ScalaReflection$.getConstructorParameters(ScalaReflection.scala:39)
at
org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:582)
at
org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:460)
at
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:592)
at
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:583)
at
scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252)
at
scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:252)
at scala.collection.immutable.List.flatMap(List.scala:344)
at
org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:583)
at
org.apache.spark.sql.catalyst.ScalaReflection$.serializerFor(ScalaReflection.scala:425)
at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:61)
at org.apache.spark.sql.Encoders$.product(Encoders.scala:274)
at
org.apache.spark.sql.SQLImplicits.newProductEncoder(SQLImplicits.scala:47)
at PersonConsumer$.main(PersonConsumer.scala:33)
at PersonConsumer.main(PersonConsumer.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

The following is my code ...

object PersonConsumer {
  import org.apache.spark.rdd.RDD
  import com.trueaccord.scalapb.spark._
  import org.apache.spark.sql.{SQLContext, SparkSession}
  import com.example.protos.demo._

  def main(args : Array[String]) {

    def parseLine(s: String): Person =
      Person.parseFrom(
        org.apache.commons.codec.binary.Base64.decodeBase64(s))

    val spark = SparkSession.builder.
      master("local")
      .appName("spark session example")
      .getOrCreate()

    import spark.implicits._

    val ds1 = 
spark.readStream.format("kafka").option("kafka.bootstrap.servers","localhost:9092").option("subscribe","person").load()

    val ds2 = ds1.selectExpr("CAST(value AS STRING)").as[String]

    val ds3 = ds2.map(str => parseLine(str)).createOrReplaceTempView("persons")

    val ds4 = spark.sqlContext.sql("select name from persons")

    val query = ds4.writeStream
      .outputMode("append")
      .format("console")
      .start()
    query.awaitTermination()
  }
}