If the class has non-serializable members, you need to initialize them
"lazily" when the objects are already in the distributed execution (after
serializing / distributing them).
Making a Scala 'val' a 'lazy val' often does the trick (at minimal
performance cost).
On Thu, Aug 4, 2016 at 3:56 AM, Jack Huang <jackhu...@mz.com> wrote:
> Hi all,
>
> I want to read a source of JSON String as Scala Case Class. I don't want
> to have to write a serde for every case class I have. The idea is:
>
> val events = env.addSource(new FlinkKafkaConsumer09[Event]("events", new
> JsonSerde(classOf[Event]), kafkaProp))
>
>
>
> I was implementing my own JsonSerde with Jackson/Gson, but in both case I
> get the error
>
> Task not serializable
>
> org.apache.flink.api.scala.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:172)
> org.apache.flink.api.scala.ClosureCleaner$.clean(ClosureCleaner.scala:164)
>
> org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.scalaClean(StreamExecutionEnvironment.scala:568)
>
> org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.addSource(StreamExecutionEnvironment.scala:498)
> com.fractionalmedia.stream.PricerEvent$.main(PricerEvent.scala:100)
>
>
> It seems that both Jackson and Gson have classes that is not serializable.
>
> I couldn't find any other solution to perform this JSON-to-Case-Class
> parsing, yet it seems a very basic need. What am I missing?
>
>
> Thanks,
> Jack
>
>
>
>
