Hi Dian, all,
Thanks for your suggestion. Unfortunately, it does not seem to work. I get
the following exception:
Caused by: java.lang.NegativeArraySizeException: -2147183315
at
org.apache.flink.api.common.typeutils.base.array.BytePrimitiveArraySerializer.deserialize(BytePrimitiveArraySerializer.java:81)
at
org.apache.flink.api.common.typeutils.base.array.BytePrimitiveArraySerializer.deserialize(BytePrimitiveArraySerializer.java:31)
at
org.apache.flink.api.common.serialization.TypeInformationSerializationSchema.deserialize(TypeInformationSerializationSchema.java:92)
at
org.apache.flink.api.common.serialization.DeserializationSchema.deserialize(DeserializationSchema.java:82)
at
org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.deserialize(KafkaDeserializationSchemaWrapper.java:58)
at
org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:179)
at
org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher.runFetchLoop(KafkaFetcher.java:142)
at
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:826)
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:66)
at
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:269)
To be more precise, the messages in my Kafka topic are pickled Python
objects. Maybe that is the reason for the exception, I also tried
using Types.PICKLED_BYTE_ARRAY().get_java_type_info()
but I think that has the same serializer because I get the same exception.
Any suggestions? Thanks for your help!
Regards,
Wouter
On Fri, 4 Jun 2021 at 08:24, Dian Fu <dian0511...@gmail.com> wrote:
> Hi Wouter,
>
> E org.apache.flink.api.python.shaded.py4j.Py4JException:
> Constructor
> org.apache.flink.api.common.serialization.TypeInformationSerializationSchema([class
> org.apache.flink.api.common.typeinfo.IntegerTypeInfo, class
> org.apache.flink.configuration.Configuration]) does not exist
>
>
> As the exception indicate, the constructor doesn’t exists.
>
>
>
> Could you try with the following:
>
> ```
> j_type_info= Types.PRIMITIVE_ARRAY(Types.BYTE()).get_java_type_info()
> j_type_serializer=
>
> j_type_info.createSerializer(gate_way.jvm.org.apache.flink.api.common.ExecutionConfig())
>
> j_byte_string_schema =
> gate_way.jvm.org.apache.flink.api.common.serialization.TypeInformationSerializationSchema(j_type_info,
> j_type_serializer)
>
> ```
>
> Regards,
> Dian
>
> 2021年6月3日 下午8:51，Wouter Zorgdrager <zorgdrag...@gmail.com> 写道：
>
> Hi all,
>
> I have a PyFlink job connected to a KafkaConsumer and Producer. I want to
> directly work with the bytes from and to Kafka because I want to
> serialize/deserialize in my Python code rather than the JVM environment.
> Therefore, I can't use the SimpleStringSchema for (de)serialization (the
> messages aren't strings anyways). I've tried to create a
> TypeInformationSerializer with Types.BYTE(), see the code snippet below:
>
> class ByteSerializer(SerializationSchema, DeserializationSchema):
> def __init__(self, execution_environment):
> gate_way = get_gateway()
>
> j_byte_string_schema =
> gate_way.jvm.org.apache.flink.api.common.serialization.TypeInformationSerializationSchema(
> Types.BYTE().get_java_type_info(),
> get_j_env_configuration(execution_environment),
> )
> SerializationSchema.__init__(self,
> j_serialization_schema=j_byte_string_schema)
> DeserializationSchema.__init__(
> self, j_deserialization_schema=j_byte_string_schema
> )The ByteSerializer is used like this:
>
>
> return FlinkKafkaConsumer(
> ["client_request", "internal"],
> ByteSerializer(self.env._j_stream_execution_environment),
> {
> "bootstrap.servers": "localhost:9092",
> "auto.offset.reset": "latest",
> "group.id": str(uuid.uuid4()),
> },
> )
> However, this does not seem to work. I think the error is thrown in the JVM
> environment, which makes it a bit hard to parse in my Python stack trace,
>
> but I think it boils down to this stacktrace part:
>
>
> answer = 'xsorg.apache.flink.api.python.shaded.py4j.Py4JException:
> Constructor
> org.apache.flink.api.common.serialization.TypeIn...haded.py4j.GatewayConnection.run(GatewayConnection.java:238)\\n\tat
> java.base/java.lang.Thread.run(Thread.java:834)\\n'
> gateway_client = <py4j.java_gateway.GatewayClient object at 0x140c43550>
> target_id = None
> name =
> 'org.apache.flink.api.common.serialization.TypeInformationSerializationSchema'
>
> def get_return_value(answer, gateway_client, target_id=None, name=None):
> """Converts an answer received from the Java gateway into a Python
> object.
>
> For example, string representation of integers are converted to Python
> integer, string representation of objects are converted to JavaObject
> instances, etc.
>
> :param answer: the string returned by the Java gateway
> :param gateway_client: the gateway client used to communicate with
> the Java
> Gateway. Only necessary if the answer is a reference (e.g.,
> object,
> list, map)
> :param target_id: the name of the object from which the answer comes
> from
> (e.g., *object1* in `object1.hello()`). Optional.
> :param name: the name of the member from which the answer comes from
> (e.g., *hello* in `object1.hello()`). Optional.
> """
> if is_error(answer)[0]:
> if len(answer) > 1:
> type = answer[1]
> value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
> if answer[1] == REFERENCE_TYPE:
> raise Py4JJavaError(
> "An error occurred while calling {0}{1}{2}.\n".
> format(target_id, ".", name), value)
> else:
> > raise Py4JError(
> "An error occurred while calling {0}{1}{2}.
> Trace:\n{3}\n".
> format(target_id, ".", name, value))
> E py4j.protocol.Py4JError: An error occurred while calling
> None.org.apache.flink.api.common.serialization.TypeInformationSerializationSchema.
> Trace:
> E org.apache.flink.api.python.shaded.py4j.Py4JException:
> Constructor
> org.apache.flink.api.common.serialization.TypeInformationSerializationSchema([class
> org.apache.flink.api.common.typeinfo.IntegerTypeInfo, class
> org.apache.flink.configuration.Configuration]) does not exist
> E at
> org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.getConstructor(ReflectionEngine.java:179)
> E at
> org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.getConstructor(ReflectionEngine.java:196)
> E at
> org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:237)
> E at
> org.apache.flink.api.python.shaded.py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> E at
> org.apache.flink.api.python.shaded.py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> E at
> org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.base/java.lang.Thread.run(Thread.java:834)
> I hope you can help me out!
>
>
> Thanks in advance,
>
> Wouter
>
>
>
