如何处理卡夫卡水槽中的异常？

Question

我有一份Flink的工作，把数据写进卡夫卡。Kafka主题的最大消息大小设置为5MB，所以如果我尝试编写任何大于5MB的记录，它会抛出以下异常并将作业降低。

java.lang.Exception: Failed to send data to Kafka: The request included a message larger than the max message size the server will accept.
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase.checkErroneous(FlinkKafkaProducerBase.java:373)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer010.invoke(FlinkKafkaProducer010.java:350)
at org.apache.flink.streaming.api.operators.StreamSink.processElement(StreamSink.java:56)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:549)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$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:830)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:808)
at org.apache.flink.streaming.api.operators.StreamMap.processElement(StreamMap.java:41)
at org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:207)
at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69)
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:745)
Caused by: org.apache.kafka.common.errors.RecordTooLargeException: The request included a message larger than the max message size the server will accept.

现在，我已经在作业中配置了检查点，所以如果作业失败，它将重新启动。问题是，每次它重新启动，它都会为相同的记录失败，并进入一个无限循环的失败和重新启动。有没有办法在我的代码中处理这个Kafka异常，这样它就不会影响整个工作？

Answer 1

也许你可以在卡夫卡水槽前面引入一个过滤器来检测和过滤那些太大的记录。有点烦躁，但可能很容易。否则，为了能够处理异常，我将考虑扩展FlinkKafkaProducer010。