Which version of Spark?
On Tue, May 9, 2017 at 11:28 AM, Yang <teddyyyy...@gmail.com> wrote:
> actually with var it's the same:
>
>
> scala> class Person4 {
> |
> | @scala.beans.BeanProperty var X:Int = 1
> | }
> defined class Person4
>
> scala> val personEncoder = Encoders.bean[Person4](classOf[Person4])
> personEncoder: org.apache.spark.sql.Encoder[Person4] = class[x[0]: int]
>
> scala> val person_rdd =sc.parallelize(Array( (new Person4(), 1), (new
> Person4(), 2) ))
> person_rdd: org.apache.spark.rdd.RDD[(Person4, Int)] =
> ParallelCollectionRDD[3] at parallelize at <console>:39
>
> scala> sqlContext.createDataFrame(person_rdd)
> java.lang.UnsupportedOperationException: Schema for type Person4 is not
> supported
> at org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(
> ScalaReflection.scala:716)
> at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$
> schemaFor$2.apply(ScalaReflection.scala:712)
> at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$
> schemaFor$2.apply(ScalaReflection.scala:711)
> at scala.collection.TraversableLike$$anonfun$map$
> 1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$
> 1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(
> ScalaReflection.scala:711)
> at org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(
> ScalaReflection.scala:654)
> at org.apache.spark.sql.SparkSession.createDataFrame(
> SparkSession.scala:251)
> at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:278)
> ... 54 elided
>
> On Tue, May 9, 2017 at 11:19 AM, Michael Armbrust <mich...@databricks.com>
> wrote:
>
>> I think you are supposed to set BeanProperty on a var as they do here
>> <https://github.com/apache/spark/blob/f830bb9170f6b853565d9dd30ca7418b93a54fe3/mllib/src/main/scala/org/apache/spark/mllib/tree/configuration/Strategy.scala#L71-L83>.
>> If you are using scala though I'd consider using the case class encoders.
>>
>> On Tue, May 9, 2017 at 12:21 AM, Yang <teddyyyy...@gmail.com> wrote:
>>
>>> I'm trying to use Encoders.bean() to create an encoder for my custom
>>> class, but it fails complaining about can't find the schema:
>>>
>>>
>>> class Person4 { @scala.beans.BeanProperty def setX(x:Int): Unit = {}
>>> @scala.beans.BeanProperty def getX():Int = {1} } val personEncoder =
>>> Encoders.bean[Person4](classOf[Person4]) scala> val person_rdd =sc.
>>> parallelize(Array( (new Person4(), 1), (new Person4(), 2) )) person_rdd:
>>> org.apache.spark.rdd.RDD[(Person4, Int)] = ParallelCollectionRDD[1] at
>>> parallelize at <con sole>:31 scala> sqlcontext.createDataFrame(per
>>> son_rdd) java.lang.UnsupportedOperationException: Schema for type
>>> Person4 is not supported at org.apache.spark.sql.catalyst.
>>> ScalaReflection$.schemaFor(ScalaReflection.scala:716) at org.apache.
>>> spark.sql.catalyst.ScalaReflection$$anonfun$schemaFor$2.apply(
>>> ScalaReflection.scala:71 2) at org.apache.spark.sql.catalyst.
>>> ScalaReflection$$anonfun$schemaFor$2.apply(ScalaReflection.scala:71 1)
>>> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike
>>> .scala:234) at
>>>
>>>
>>> but if u look at the encoder's schema, it does know it:
>>> but the system does seem to understand the schema for "Person4":
>>>
>>>
>>> scala> personEncoder.schema
>>> res38: org.apache.spark.sql.types.StructType =
>>> StructType(StructField(x,IntegerType,false))
>>>
>>>
>>
>
