Yes, that should do the trick.
> On 5. Jan 2018, at 18:37, Kyle Hamlin <hamlin...@gmail.com> wrote:
>
> I can add that dependency. So I would replace
>
> override def getProducedType: TypeInformation[T] = {
> TypeExtractor.getForClass(implicitly[ClassTag[T]].runtimeClass.asInstanceOf[Class[T]])
> }
>
> with something like:
>
> override def getProducedType: TypeInformation[T] = {
> new AvroTypeInfo(classOf[T])
> }
>
> On Thu, Jan 4, 2018 at 11:08 AM Aljoscha Krettek <aljos...@apache.org
> <mailto:aljos...@apache.org>> wrote:
> Hi,
>
> I think you might be able to use AvroTypeInfo which you can use by including
> the flink-avro dependencies. Is that an option for you?
>
> Best,
> Aljoscha
>
>
>> On 3. Jan 2018, at 21:34, Kyle Hamlin <hamlin...@gmail.com
>> <mailto:hamlin...@gmail.com>> wrote:
>>
>> Hi,
>>
>> It appears that Kryo can't properly extract/deserialize Avro array types. I
>> have a very simple Avro schema that has an array type and when I remove the
>> array field the error is not thrown. Is there any way around this without
>> using a specific type?
>>
>> Avro Schema:
>> {
>> "type": "record",
>> "name": "Recieved",
>> "fields": [
>> {"name": "id", "type": "int"},
>> {"name": "time", "type": "long"},
>> {"name": "urls", "type": {"type": "array", "items": "string"}},
>> ]
>> }
>>
>> Deserializer:
>> import io.confluent.kafka.serializers.{AbstractKafkaAvroSerDeConfig,
>> KafkaAvroDeserializer}
>> import org.apache.avro.generic.{GenericData, GenericRecord}
>> import org.apache.flink.api.common.typeinfo.TypeInformation
>> import org.apache.flink.api.java.typeutils.TypeExtractor
>> import
>> org.apache.flink.streaming.util.serialization.KeyedDeserializationSchema
>>
>> import scala.collection.JavaConverters._
>> import scala.reflect.ClassTag
>>
>> class AvroDeserializer[T <: GenericRecord : ClassTag](schemaRegistryUrl:
>> String) extends KeyedDeserializationSchema[T] {
>>
>> @transient lazy val keyDeserializer: KafkaAvroDeserializer = {
>> val deserializer = new KafkaAvroDeserializer()
>> deserializer.configure(
>> Map(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG ->
>> schemaRegistryUrl).asJava,
>> true)
>> deserializer
>> }
>>
>> // Flink needs the serializer to be serializable => this "@transient lazy
>> val" does the trick
>> @transient lazy val valueDeserializer: KafkaAvroDeserializer = {
>> val deserializer = new KafkaAvroDeserializer()
>> deserializer.configure(
>> // other schema-registry configuration parameters can be passed, see
>> the configure() code
>> // for details (among other things, schema cache size)
>> Map(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG ->
>> schemaRegistryUrl).asJava,
>> false)
>> deserializer
>> }
>>
>> override def deserialize(messageKey: Array[Byte], message: Array[Byte],
>> topic: String, partition: Int, offset: Long): T =
>> {
>> valueDeserializer.deserialize(topic, message).asInstanceOf[T]
>> }
>>
>> override def isEndOfStream(nextElement: T): Boolean = false
>>
>> override def getProducedType: TypeInformation[T] = {
>>
>> TypeExtractor.getForClass(implicitly[ClassTag[T]].runtimeClass.asInstanceOf[Class[T]])
>> }
>>
>> }
>> Stacktrace:
>> Cluster configuration: Standalone cluster with JobManager at
>> localhost/127.0.0.1:6123 <http://127.0.0.1:6123/>
>> Using address localhost:6123 to connect to JobManager.
>> JobManager web interface address http://localhost:8082
>> <http://localhost:8082/>
>> Starting execution of program
>> Submitting job with JobID: d9ed8f58fceaae253b84fc86e4b6fa3a. Waiting for job
>> completion.
>> Connected to JobManager at
>> Actor[akka.tcp://flink@localhost:6123/user/jobmanager#-1321297259 <>] with
>> leader session id 00000000-0000-0000-0000-000000000000.
>> 01/03/2018 15:19:57 Job execution switched to status RUNNING.
>> 01/03/2018 15:19:57 Source: Kafka -> Sink: Unnamed(1/1) switched to
>> SCHEDULED
>> 01/03/2018 15:19:57 Source: Kafka -> Sink: Unnamed(1/1) switched to
>> DEPLOYING
>> 01/03/2018 15:19:57 Source: Kafka -> Sink: Unnamed(1/1) switched to RUNNING
>> 01/03/2018 15:19:59 Source: Kafka -> Sink: Unnamed(1/1) switched to FAILED
>> com.esotericsoftware.kryo.KryoException: java.lang.NullPointerException
>> Serialization trace:
>> values (org.apache.avro.generic.GenericData$Record)
>> at
>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:125)
>> at
>> com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:528)
>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:657)
>> at
>> org.apache.flink.api.java.typeutils.runtime.kryo.KryoSerializer.copy(KryoSerializer.java:189)
>> at
>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:547)
>> at
>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:524)
>> at
>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:504)
>> at
>> org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:831)
>> at
>> org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:809)
>> at
>> org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collect(StreamSourceContexts.java:104)
>> at
>> org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collectWithTimestamp(StreamSourceContexts.java:111)
>> at
>> org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.emitRecordWithTimestamp(AbstractFetcher.java:355)
>> at
>> org.apache.flink.streaming.connectors.kafka.internal.Kafka010Fetcher.emitRecord(Kafka010Fetcher.java:85)
>> at
>> org.apache.flink.streaming.connectors.kafka.internal.Kafka09Fetcher.runFetchLoop(Kafka09Fetcher.java:152)
>> at
>> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:624)
>> at
>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:86)
>> at
>> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:55)
>> at
>> org.apache.flink.streaming.runtime.tasks.SourceStreamTask.run(SourceStreamTask.java:94)
>> at
>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:264)
>> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:718)
>> at java.lang.Thread.run(Thread.java:748)
>> Caused by: java.lang.NullPointerException
>> at org.apache.avro.generic.GenericData$Array.add(GenericData.java:277)
>> at
>> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:116)
>> at
>> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:22)
>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:679)
>> at
>> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:378)
>> at
>> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:289)
>> at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:679)
>> at
>> com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
>> ... 20 more
>>
>> 01/03/2018 15:19:59 Job execution switched to status FAILING.
>
