Class DeadLetterPublishingRecoverer

  • All Implemented Interfaces:
    java.util.function.BiConsumer<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception>, ConsumerRecordRecoverer

    public class DeadLetterPublishingRecoverer
    extends java.lang.Object
    implements ConsumerRecordRecoverer
    A ConsumerRecordRecoverer that publishes a failed record to a dead-letter topic.
    Since:
    2.2
    Author:
    Gary Russell
    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected org.springframework.core.log.LogAccessor logger  
    • Constructor Summary

      Constructors 
      Constructor Description
      DeadLetterPublishingRecoverer​(java.util.Map<java.lang.Class<?>,​KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object>> templates)
      Create an instance with the provided templates and a default destination resolving function that returns a TopicPartition based on the original topic (appended with ".DLT") from the failed record, and the same partition as the failed record.
      DeadLetterPublishingRecoverer​(java.util.Map<java.lang.Class<?>,​KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object>> templates, java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.TopicPartition> destinationResolver)
      Create an instance with the provided templates and destination resolving function, that receives the failed consumer record and the exception and returns a TopicPartition.
      DeadLetterPublishingRecoverer​(KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object> template)
      Create an instance with the provided template and a default destination resolving function that returns a TopicPartition based on the original topic (appended with ".DLT") from the failed record, and the same partition as the failed record.
      DeadLetterPublishingRecoverer​(KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object> template, java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.TopicPartition> destinationResolver)
      Create an instance with the provided template and destination resolving function, that receives the failed consumer record and the exception and returns a TopicPartition.
      DeadLetterPublishingRecoverer​(KafkaTemplate<? extends java.lang.Object,​? extends java.lang.Object> template)
      DeadLetterPublishingRecoverer​(KafkaTemplate<? extends java.lang.Object,​? extends java.lang.Object> template, java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.TopicPartition> destinationResolver)
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void accept​(org.apache.kafka.clients.consumer.ConsumerRecord<?,​?> record, java.lang.Exception exception)  
      protected org.apache.kafka.clients.producer.ProducerRecord<java.lang.Object,​java.lang.Object> createProducerRecord​(org.apache.kafka.clients.consumer.ConsumerRecord<?,​?> record, org.apache.kafka.common.TopicPartition topicPartition, org.apache.kafka.common.header.Headers headers, byte[] data, boolean isKey)
      Subclasses can override this method to customize the producer record to send to the DLQ.
      protected void publish​(org.apache.kafka.clients.producer.ProducerRecord<java.lang.Object,​java.lang.Object> outRecord, KafkaOperations<java.lang.Object,​java.lang.Object> kafkaTemplate)
      Override this if you want more than just logging of the send result.
      void setHeadersFunction​(java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.header.Headers> headersFunction)
      Set a function which will be called to obtain additional headers to add to the published record.
      void setRetainExceptionHeader​(boolean retainExceptionHeader)
      Set to true to retain a Java serialized DeserializationException header.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
      • Methods inherited from interface java.util.function.BiConsumer

        andThen
    • Field Detail

      • logger

        protected final org.springframework.core.log.LogAccessor logger
    • Constructor Detail

      • DeadLetterPublishingRecoverer

        public DeadLetterPublishingRecoverer​(KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object> template)
        Create an instance with the provided template and a default destination resolving function that returns a TopicPartition based on the original topic (appended with ".DLT") from the failed record, and the same partition as the failed record. Therefore the dead-letter topic must have at least as many partitions as the original topic.
        Parameters:
        template - the KafkaOperations to use for publishing.
      • DeadLetterPublishingRecoverer

        public DeadLetterPublishingRecoverer​(KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object> template,
                                             java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.TopicPartition> destinationResolver)
        Create an instance with the provided template and destination resolving function, that receives the failed consumer record and the exception and returns a TopicPartition. If the partition in the TopicPartition is less than 0, no partition is set when publishing to the topic.
        Parameters:
        template - the KafkaOperations to use for publishing.
        destinationResolver - the resolving function.
      • DeadLetterPublishingRecoverer

        @Deprecated
        public DeadLetterPublishingRecoverer​(KafkaTemplate<? extends java.lang.Object,​? extends java.lang.Object> template)
        Create an instance with the provided template and a default destination resolving function that returns a TopicPartition based on the original topic (appended with ".DLT") from the failed record, and the same partition as the failed record. Therefore the dead-letter topic must have at least as many partitions as the original topic.
        Parameters:
        template - the KafkaTemplate to use for publishing.
      • DeadLetterPublishingRecoverer

        @Deprecated
        public DeadLetterPublishingRecoverer​(KafkaTemplate<? extends java.lang.Object,​? extends java.lang.Object> template,
                                             java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.TopicPartition> destinationResolver)
        Create an instance with the provided template and destination resolving function, that receives the failed consumer record and the exception and returns a TopicPartition. If the partition in the TopicPartition is less than 0, no partition is set when publishing to the topic.
        Parameters:
        template - the KafkaOperations to use for publishing.
        destinationResolver - the resolving function.
      • DeadLetterPublishingRecoverer

        public DeadLetterPublishingRecoverer​(java.util.Map<java.lang.Class<?>,​KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object>> templates)
        Create an instance with the provided templates and a default destination resolving function that returns a TopicPartition based on the original topic (appended with ".DLT") from the failed record, and the same partition as the failed record. Therefore the dead-letter topic must have at least as many partitions as the original topic. The templates map keys are classes and the value the corresponding template to use for objects (producer record values) of that type. A LinkedHashMap is recommended when there is more than one template, to ensure the map is traversed in order. To send records with a null value, add a template with the Void class as a key; otherwise the first template from the map values iterator will be used.
        Parameters:
        templates - the KafkaOperationss to use for publishing.
      • DeadLetterPublishingRecoverer

        public DeadLetterPublishingRecoverer​(java.util.Map<java.lang.Class<?>,​KafkaOperations<? extends java.lang.Object,​? extends java.lang.Object>> templates,
                                             java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.TopicPartition> destinationResolver)
        Create an instance with the provided templates and destination resolving function, that receives the failed consumer record and the exception and returns a TopicPartition. If the partition in the TopicPartition is less than 0, no partition is set when publishing to the topic. The templates map keys are classes and the value the corresponding template to use for objects (producer record values) of that type. A LinkedHashMap is recommended when there is more than one template, to ensure the map is traversed in order. To send records with a null value, add a template with the Void class as a key; otherwise the first template from the map values iterator will be used.
        Parameters:
        templates - the KafkaOperationss to use for publishing.
        destinationResolver - the resolving function.
    • Method Detail

      • setRetainExceptionHeader

        public void setRetainExceptionHeader​(boolean retainExceptionHeader)
        Set to true to retain a Java serialized DeserializationException header. By default, such headers are removed from the published record, unless both key and value deserialization exceptions occur, in which case, the DLT_* headers are created from the value exception and the key exception header is retained.
        Parameters:
        retainExceptionHeader - true to retain the
        Since:
        2.5
      • setHeadersFunction

        public void setHeadersFunction​(java.util.function.BiFunction<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception,​org.apache.kafka.common.header.Headers> headersFunction)
        Set a function which will be called to obtain additional headers to add to the published record.
        Parameters:
        headersFunction - the headers function.
        Since:
        2.5.4
      • accept

        public void accept​(org.apache.kafka.clients.consumer.ConsumerRecord<?,​?> record,
                           java.lang.Exception exception)
        Specified by:
        accept in interface java.util.function.BiConsumer<org.apache.kafka.clients.consumer.ConsumerRecord<?,​?>,​java.lang.Exception>
      • createProducerRecord

        protected org.apache.kafka.clients.producer.ProducerRecord<java.lang.Object,​java.lang.Object> createProducerRecord​(org.apache.kafka.clients.consumer.ConsumerRecord<?,​?> record,
                                                                                                                                 org.apache.kafka.common.TopicPartition topicPartition,
                                                                                                                                 org.apache.kafka.common.header.Headers headers,
                                                                                                                                 @Nullable
                                                                                                                                 byte[] data,
                                                                                                                                 boolean isKey)
        Subclasses can override this method to customize the producer record to send to the DLQ. The default implementation simply copies the key and value from the consumer record and adds the headers. The timestamp is not set (the original timestamp is in one of the headers). IMPORTANT: if the partition in the TopicPartition is less than 0, it must be set to null in the ProducerRecord.
        Parameters:
        record - the failed record
        topicPartition - the TopicPartition returned by the destination resolver.
        headers - the headers - original record headers plus DLT headers.
        data - the value to use instead of the consumer record value.
        isKey - true if key deserialization failed.
        Returns:
        the producer record to send.
        See Also:
        KafkaHeaders
      • publish

        protected void publish​(org.apache.kafka.clients.producer.ProducerRecord<java.lang.Object,​java.lang.Object> outRecord,
                               KafkaOperations<java.lang.Object,​java.lang.Object> kafkaTemplate)
        Override this if you want more than just logging of the send result.
        Parameters:
        outRecord - the record to send.
        kafkaTemplate - the template.
        Since:
        2.2.5