Python Apache Beam Flink runner安装程序：ReadFromKafka返回错误RuntimeError:无法编码空字节[]

Question

我正在尝试用python构建一个流束管道，它应该捕获来自kafka的消息，然后执行从其他源获取数据和聚合的进一步阶段。 到目前为止，我所建立的一步一步的过程是：

1. 在本地主机上运行Kafka实例：9092

   ./bin/kafka-server-start.sh ./config/server.properties

2. 使用docker运行beam flink作业服务器

   docker run --net=host apache/beam_flink1.10_job_server:latest

3. 下梁式卡夫卡管道

import apache_beam as beam
from apache_beam.io.external.kafka import ReadFromKafka, WriteToKafka
from apache_beam.options.pipeline_options import PipelineOptions, StandardOptions


if __name__ == '__main__':
    options = PipelineOptions([
        "--job_endpoint=localhost:8099",
        "--environment_type=LOOPBACK",
        "--streaming",
        "--environment_config={\"command\":\"/opt/apache/beam/boot\"}",
    ])

    options = options.view_as(StandardOptions)
    options.streaming = True

    pipeline = beam.Pipeline(options=options)

    result = (
        pipeline

        | "Read from kafka" >> ReadFromKafka(
            consumer_config={
                "bootstrap.servers": 'localhost:9092',
            }, 
            topics=['mytopic'],
            expansion_service='localhost:8097',
        )

        | beam.Map(print)
    )

    pipeline.run()

1. 使用kafka-producer.sh发布新消息

./bin/kafka-console-producer.sh --broker-list localhost:9092 --topic mytopic
>tryme

发布此试用消息后，beam管道会感知到该消息，但由于出现以下错误而崩溃：

RuntimeError: org.apache.beam.sdk.util.UserCodeException: org.apache.beam.sdk.coders.CoderException: cannot encode a null byte[]
    at org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:36)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1014)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:132)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:1483)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.output(FnApiDoFnRunner.java:1478)
    at org.apache.beam.sdk.io.kafka.KafkaIO$TypedWithoutMetadata$1.processElement(KafkaIO.java:1042)
    at org.apache.beam.sdk.io.kafka.KafkaIO$TypedWithoutMetadata$1$DoFnInvoker.invokeProcessElement(Unknown Source)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:740)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.access$700(FnApiDoFnRunner.java:132)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$Factory.lambda$createRunnerForPTransform$1(FnApiDoFnRunner.java:203)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1011)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:132)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:1483)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.output(FnApiDoFnRunner.java:1478)
    at org.apache.beam.sdk.values.ValueWithRecordId$StripIdsDoFn.processElement(ValueWithRecordId.java:138)
    at org.apache.beam.sdk.values.ValueWithRecordId$StripIdsDoFn$DoFnInvoker.invokeProcessElement(Unknown Source)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:740)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.access$700(FnApiDoFnRunner.java:132)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$Factory.lambda$createRunnerForPTransform$1(FnApiDoFnRunner.java:203)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1011)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:132)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:1483)
    at org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.outputWithTimestamp(DoFnOutputReceivers.java:84)
    at org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn.processElement(Read.java:516)
    at org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn$DoFnInvoker.invokeProcessElement(Unknown Source)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForElementAndRestriction(FnApiDoFnRunner.java:838)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForSizedElementAndRestriction(FnApiDoFnRunner.java:808)
    at org.apache.beam.fn.harness.FnApiDoFnRunner.access$200(FnApiDoFnRunner.java:132)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$Factory$2.accept(FnApiDoFnRunner.java:226)
    at org.apache.beam.fn.harness.FnApiDoFnRunner$Factory$2.accept(FnApiDoFnRunner.java:223)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)
    at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:204)
    at org.apache.beam.fn.harness.data.QueueingBeamFnDataClient.drainAndBlock(QueueingBeamFnDataClient.java:106)
    at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:295)
    at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:173)
    at org.apache.beam.fn.harness.control.BeamFnControlClient.lambda$processInstructionRequests$0(BeamFnControlClient.java:157)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.beam.sdk.coders.CoderException: cannot encode a null byte[]
    at org.apache.beam.sdk.coders.ByteArrayCoder.encode(ByteArrayCoder.java:63)
    at org.apache.beam.sdk.coders.ByteArrayCoder.encode(ByteArrayCoder.java:56)
    at org.apache.beam.sdk.coders.ByteArrayCoder.encode(ByteArrayCoder.java:41)
    at org.apache.beam.sdk.coders.KvCoder.encode(KvCoder.java:70)
    at org.apache.beam.sdk.coders.KvCoder.encode(KvCoder.java:36)
    at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:590)
    at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:581)
    at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:541)
    at org.apache.beam.sdk.fn.data.BeamFnDataSizeBasedBufferingOutboundObserver.accept(BeamFnDataSizeBasedBufferingOutboundObserver.java:109)
    at org.apache.beam.fn.harness.BeamFnDataWriteRunner.consume(BeamFnDataWriteRunner.java:155)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)
    at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)

Answer 1

如果您尚未解决此问题，则发布了一条带有null键值的消息，这会导致Kafka抛出异常并导致作业失败

可以使用kafka命令行工具将消息发布为键值对，如下所示：

./bin/kafka-console-producer.sh \
   broker-list localhost:9092 \
   topic my-topic \
   property "parse.key=true" \
   property "key.separator=:"
>my_key:my_value