I'm not too familiar with Flink but is there a way to simply read bytes of
Kafka and in the next step (map ?) to Deserialize the bytes that represent
this object and transform it into a "Kryo-compliant" object ? This should
avoid Kryo, right ?

On Thu, Jun 2, 2016 at 10:31 PM Viswadeep <[email protected]> wrote:

> Hi Max,
>
> I tried your approach (1) it did not work. I am still getting the same
> exception.
> (2) is not possible, unless protobuff complier changes.
>
> Yes setting that in config also did not work as well.
>
> I think some where inside flink it is not able to process correctly.
>
>
> Thanks
> Viswadeep
>
>
> Viswadeep Veguru.
>
>
> On Thu, Jun 2, 2016 at 10:09 AM, Maximilian Michels <[email protected]>
> wrote:
>
>> Hi Viswadeep,
>>
>> What Amit recommended (thanks!) is indeed an easy fix if you're using
>> Flink. However, we don't expose the ExecutionConfig in Beam. So
>> setting custom Kryo serializers is not possible.
>>
>> Two other options I see:
>>
>> 1) Could you try using the following in your deserialization schema?
>>
>>    @Override
>>     public TypeInformation<T> getProducedType() {
>>         return new CoderTypeInformation<>(coder);
>>     }
>>
>> 2) Could you avoid using Collections.UnmodifiableList in your code?
>> Not sure if it is possible because it seems to be a field in your
>> Protobuf class.
>>
>> Thanks,
>> Max
>>
>> On Thu, Jun 2, 2016 at 4:49 PM, Viswadeep <[email protected]> wrote:
>> > Thanks Amit,
>> >
>> > It did not solve my issue, Flink it self has the following comment in
>> > ExecutionConfig.java
>> >
>> > /**
>> >  * Force TypeExtractor to use Kryo serializer for POJOS even though we
>> could
>> > analyze as POJO.
>> >  * In some cases this might be preferable. For example, when using
>> > interfaces
>> >  * with subclasses that cannot be analyzed as POJO.
>> >  */
>> >
>> >
>> > Because generated Protobuf class extends GeneratedMessage implements
>> > Employee.PacketOrBuilder
>> >
>> >
>> > Thanks for any help.
>> > Viswadeep
>> >
>> >
>> > On Wed, Jun 1, 2016 at 11:02 PM, Amit Sela <[email protected]>
>> wrote:
>> >>
>> >> I think it has to do with Flink's internal use of Kryo  - take a look
>> at
>> >> this:
>> >>
>> http://stackoverflow.com/questions/32453030/using-an-collectionsunmodifiablecollection-with-apache-flink
>> >> I'm sure Flink committers will soon reach out to correct me if I'm
>> missing
>> >> something..
>> >>
>> >> On Thu, Jun 2, 2016 at 5:01 AM Viswadeep <[email protected]> wrote:
>> >>>
>> >>> Hi
>> >>>
>> >>> I am using apache beam with flink and ProtoBuf for encoding and
>> decoding.
>> >>>
>> >>> The following is the method for the FlinkKafka Consumer.
>> >>>
>> >>> public UnboundedSource<T extends
>> Message,UnboundedSource.CheckpointMark>
>> >>> build() {
>> >>>     Properties p = new Properties();
>> >>>     p.setProperty("zookeeper.connect", kafkaOptions.getZookeeper());
>> >>>     p.setProperty("bootstrap.servers", kafkaOptions.getBroker());
>> >>>     p.setProperty("group.id", kafkaOptions.getGroup());
>> >>>     FlinkKafkaConsumer09<T> kafkaConsumer = new
>> >>> FlinkKafkaConsumer09<>(kafkaOptions.getKafkaTopic(),
>> >>>             new SerializationDeserializationSchema(typedSource,
>> >>> ProtoCoder.of(typedSource)), p);
>> >>>     return UnboundedFlinkSource.of(kafkaConsumer);
>> >>> }
>> >>>
>> >>> and the helper for serialization and DeSerialization is this.
>> >>>
>> >>> public class SerializationDeserializationSchema<T>
>> >>>         implements SerializationSchema<T>, DeserializationSchema<T> {
>> >>>
>> >>>     private final Class<T> tClass;
>> >>>
>> >>>     private final Coder<T> coder;
>> >>>     private transient ByteArrayOutputStream out;
>> >>>
>> >>>     public SerializationDeserializationSchema(Class<T> clazz, Coder<T>
>> >>> coder) {
>> >>>         this.tClass = clazz;
>> >>>         this.coder = coder;
>> >>>         this.out = new ByteArrayOutputStream();
>> >>>     }
>> >>>
>> >>>     @Override
>> >>>     public byte[] serialize(T element) {
>> >>>
>> >>>         if (out == null) {
>> >>>             out = new ByteArrayOutputStream();
>> >>>         }
>> >>>         try {
>> >>>             out.reset();
>> >>>             coder.encode(element, out, Coder.Context.NESTED);
>> >>>         } catch (IOException e) {
>> >>>             throw new RuntimeException("encoding failed.", e);
>> >>>         }
>> >>>         return out.toByteArray();
>> >>>     }
>> >>>
>> >>>     @Override
>> >>>     public T deserialize(byte[] message) throws IOException {
>> >>>         return coder.decode(new ByteArrayInputStream(message),
>> >>> Coder.Context.NESTED);
>> >>>     }
>> >>>
>> >>>     @Override
>> >>>     public boolean isEndOfStream(T nextElement) {
>> >>>         return false;
>> >>>     }
>> >>>
>> >>>     @Override
>> >>>     public TypeInformation<T> getProducedType() {
>> >>>         return TypeExtractor.getForClass(tClass);
>> >>>     }
>> >>> }
>> >>>
>> >>>
>> >>> I am getting the following, Kyro exception.
>> >>>
>> >>> java.lang.RuntimeException: ConsumerThread threw an exception: Could
>> not
>> >>> forward element to next operator
>> >>>         at
>> >>>
>> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09.run(FlinkKafkaConsumer09.java:336)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:78)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.runtime.tasks.SourceStreamTask.run(SourceStreamTask.java:56)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:225)
>> >>>         at
>> org.apache.flink.runtime.taskmanager.Task.run(Task.java:559)
>> >>>         at java.lang.Thread.run(Thread.java:745)
>> >>>     Caused by: java.lang.RuntimeException: Could not forward element
>> to
>> >>> next operator
>> >>>         at
>> >>>
>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:354)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:337)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.api.operators.StreamSource$ManualWatermarkContext.collect(StreamSource.java:318)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09$ConsumerThread.run(FlinkKafkaConsumer09.java:473)
>> >>>     Caused by: com.esotericsoftware.kryo.KryoException:
>> >>> java.lang.UnsupportedOperationException
>> >>>     Serialization trace:
>> >>>     records_ (com.model.Employee$Packet)
>> >>>         at
>> >>>
>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:125)
>> >>>         at
>> >>>
>> com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:528)
>> >>>         at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:657)
>> >>>         at
>> >>>
>> org.apache.flink.api.java.typeutils.runtime.kryo.KryoSerializer.copy(KryoSerializer.java:168)
>> >>>         at
>> >>>
>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:349)
>> >>>         ... 3 more
>> >>>     Caused by: java.lang.UnsupportedOperationException
>> >>>         at
>> >>>
>> java.util.Collections$UnmodifiableCollection.add(Collections.java:1055)
>> >>>         at
>> >>>
>> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:116)
>> >>>         at
>> >>>
>> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:22)
>> >>>         at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:679)
>> >>>         at
>> >>>
>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
>> >>>
>> >>>
>> >>> I am not able to avoid this "Kryo" Exception, Thanks for any help.
>> >>>
>> >>> Thanks
>> >>>
>> >>> Viswadeep.
>> >>>
>> >
>> >
>>
>
>

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