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Prevent Confluent Kafka from losing messages when producing


Prevent Confluent Kafka from losing messages when producing

By : user2185092
Date : November 20 2020, 04:01 AM
Does that help Confirmed the following results:
Calling .flush() can definitely return zero even if messages failed to produce. This method appears to wait until all delivery callbacks have finished for all messages (a callback can simply report that the message failed to deliver).
code :


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Producing and Consuming Avro messages from Kafka without Confluent components

Producing and Consuming Avro messages from Kafka without Confluent components


By : safi
Date : March 29 2020, 07:55 AM
wish helps you Of course you can do that without any Confluent tooling. But you have to do additional work on your side (e.g. in your application code) -- which was the original motivation of providing Avro-related tooling such as the ones from Confluent that you mentioned.
One option is to manually serialize/deserialize the payload of your Kafka messages (e.g. from YourJavaPojo to byte[]) by using the Apache Avro Java API directly. (I suppose that you implied Java as the programming language of choice.) How would this look like? Here's an example.
code :
  // This tells Bijection how to automagically deserialize a Java type `T`,
  // given a byte array `byte[]`.
  implicit private val specificAvroBinaryInjection: Injection[T, Array[Byte]] =
SpecificAvroCodecs.toBinary[T]

  // Let's put Bijection to use.
  private def decodeAndEmit(bytes: Array[Byte], collector: BasicOutputCollector) {
    require(bytes != null, "bytes must not be null")
    val decodeTry = Injection.invert(bytes)  // <-- deserialization, using Twitter Bijection, happens here
    decodeTry match {
      case Success(pojo) =>
        log.debug("Binary data decoded into pojo: " + pojo)
        collector.emit(new Values(pojo)) // <-- Here we are telling Storm to send the decoded payload to downstream consumers
        ()
      case Failure(e) => log.error("Could not decode binary data: " + Throwables.getStackTraceAsString(e))
    }
  }
Is there a way to produce Kafka messages with headers using Kafka Confluent REST API?

Is there a way to produce Kafka messages with headers using Kafka Confluent REST API?


By : user2501135
Date : March 29 2020, 07:55 AM
it should still fix some issue You are correct, the REST Proxy does not currently support Kafka Headers. You would need to use the Producer API to set the headers.
Spring Cloud Stream Kafka with Confluent is not producing same message as Spring Kafka with Confluent

Spring Cloud Stream Kafka with Confluent is not producing same message as Spring Kafka with Confluent


By : user2722467
Date : March 29 2020, 07:55 AM
will be helpful for those in need The problem is with the way you configure useNativeEncoding. It was not taking into effect. This configuration should work:
code :
spring:
  application:
    name: springCloudKafkaAvro
  cloud:
    stream:
      schemaRegistryClient:
        endpoint: http://127.0.0.1:8081
      kafka:
        binder:
            brokers: 127.0.0.1:9092
        bindings:
          output:
            producer:
              configuration:
                schema.registry.url: http://127.0.0.1:8081
                key.serializer: io.confluent.kafka.serializers.KafkaAvroSerializer
                value.serializer: io.confluent.kafka.serializers.KafkaAvroSerializer
      bindings:
        output:
          destination: test_spring_cloud_kafka
          producer:
            useNativeEncoding: true

Confluent - Splitting Avro messages from one kafka topic into multiple kafka topics

Confluent - Splitting Avro messages from one kafka topic into multiple kafka topics


By : user2796788
Date : March 29 2020, 07:55 AM
wish help you to fix your issue We have an incoming kafka topic with multiple Avro schema based messages serialized into it. , You can write a Kafka Streams application and use branch():
code :
KStream input = builder.stream("topic");
KStream[] splitStreams = input.branch(...);
splitStream[0].to("output-topic-1");
splitStream[1].to("output-topic-2");
// etc.
Confluent Kafka Python producer not producing with ACKS= all configuration

Confluent Kafka Python producer not producing with ACKS= all configuration


By : user3568826
Date : March 29 2020, 07:55 AM
I wish this help you I have a some python code that will produce into a kafka topic, this works fine with the default setting acks=1 but when I change to acks=all or acks=2 the message does not end up in the topic. the min.insync.replicas config on the topic is set to 2. There is no error message returned after running the code which is confusing? There is 3 brokers in the cluster. , 1) Acks: 2 - is not allowed.
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