下面是删除名为MyTopic的主题的步骤:

描述主题，并记下代理id 为列出的每个代理ID停止Apache Kafka守护进程。 连接到每个代理(从步骤1开始)，并删除主题数据文件夹，例如rm -rf /tmp/kafka-logs/MyTopic-0。对其他分区和所有副本重复此操作 删除主题元数据:zkCli.sh，然后删除rmr /brokers/MyTopic 为每台停止的机器启动Apache Kafka守护进程

如果你错过了第3步，Apache Kafka将继续报告当前的主题(例如当你运行Kafka -list-topic.sh时)。

使用Apache Kafka 0.8.0测试。

除了更新用户留存。Ms和保留率。字节，我注意到主题清理策略应该是“delete”(默认)，如果是“compact”，它将保留消息更长的时间，即，如果它是“compact”，你必须指定delete.retention.ms。

$ ./bin/kafka-configs.sh --zookeeper localhost:2181 --describe --entity-name test-topic-3-100 --entity-type topics
            
Configs for topics:test-topic-3-100 are retention.ms=1000,delete.retention.ms=10000,cleanup.policy=delete,retention.bytes=1

还得监控最早/最新的偏移量，以确认这一成功发生，也可以检查du -h /tmp/kafka-logs/test-topic-3-100-*

$ ./bin/kafka-run-class.sh kafka.tools.GetOffsetShell --broker-list "BROKER:9095" --topic test-topic-3-100 --time -1 | awk -F ":" '{sum += $3} END {print sum}'

26599762

$ ./bin/kafka-run-class.sh kafka.tools.GetOffsetShell --broker-list "BROKER:9095" --topic test-topic-3-100 --time -2 | awk -F ":" '{sum += $3} END {print sum}'

26599762

另一个问题是，你必须先获得当前配置，以便在删除成功后记得恢复: ./bin/kafka-config .sh——zookeeper localhost:2181——describe——entity-name test-topic-3-100——entity-type topic

虽然公认的答案是正确的，但该方法已被弃用。主题配置现在应该通过kafka-configs来完成。

kafka-configs --zookeeper localhost:2181 --entity-type topics --alter --add-config retention.ms=1000 --entity-name MyTopic

通过该方法设置的配置可以通过命令显示

kafka-configs --zookeeper localhost:2181 --entity-type topics --describe --entity-name MyTopic

如果您希望在Java应用程序中以编程方式完成此操作，可以使用AdminClient的API deleterrecords。使用AdminClient可以删除分区和偏移量级别上的记录。

根据JavaDocs, 0.11.0.0或更高版本的代理支持此操作。

这里有一个简单的例子:

String brokers = "localhost:9092";
String topicName = "test";
TopicPartition topicPartition = new TopicPartition(topicName, 0);
RecordsToDelete recordsToDelete = RecordsToDelete.beforeOffset(5L);

Map<TopicPartition, RecordsToDelete> topicPartitionRecordToDelete = new HashMap<>();
topicPartitionRecordToDelete.put(topicPartition, recordsToDelete);

// Create AdminClient
final Properties properties = new Properties();
properties.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, brokers);
AdminClient adminClient = AdminClient.create(properties);

try {
  adminClient.deleteRecords(topicPartitionRecordToDelete).all().get();
} catch (InterruptedException e) {
  e.printStackTrace();
} catch (ExecutionException e) {
  e.printStackTrace();
} finally {
  adminClient.close();
}

最简单的方法是将各个日志文件的日期设置为比保留期更早的日期。然后经纪人会在几秒钟内为你清理并移除它们。这有几个优点:

不需要关闭代理，这是一个运行时操作。 避免出现无效偏移异常的可能性(下文将详细介绍)。

In my experience with Kafka 0.7.x, removing the log files and restarting the broker could lead to invalid offset exceptions for certain consumers. This would happen because the broker restarts the offsets at zero (in the absence of any existing log files), and a consumer that was previously consuming from the topic would reconnect to request a specific [once valid] offset. If this offset happens to fall outside the bounds of the new topic logs, then no harm and the consumer resumes at either the beginning or the end. But, if the offset falls within the bounds of the new topic logs, the broker attempts to fetch the message set but fails because the offset doesn't align to an actual message.

还可以通过清除zookeeper中针对该主题的消费者偏移量来缓解这一问题。但如果你不需要一个处女主题，只是想删除现有的内容，那么简单地“触摸”一些主题日志要比停止代理、删除主题日志和清除某些zookeeper节点容易得多，也更可靠。

从Java，使用新的AdminZkClient代替已弃用的AdminUtils:

  public void reset() {
    try (KafkaZkClient zkClient = KafkaZkClient.apply("localhost:2181", false, 200_000,
        5000, 10, Time.SYSTEM, "metricGroup", "metricType")) {

      for (Map.Entry<String, List<PartitionInfo>> entry : listTopics().entrySet()) {
        deleteTopic(entry.getKey(), zkClient);
      }
    }
  }

  private void deleteTopic(String topic, KafkaZkClient zkClient) {

    // skip Kafka internal topic
    if (topic.startsWith("__")) {
      return;
    }

    System.out.println("Resetting Topic: " + topic);
    AdminZkClient adminZkClient = new AdminZkClient(zkClient);
    adminZkClient.deleteTopic(topic);

    // deletions are not instantaneous
    boolean success = false;
    int maxMs = 5_000;
    while (maxMs > 0 && !success) {
      try {
        maxMs -= 100;
        adminZkClient.createTopic(topic, 1, 1, new Properties(), null);
        success = true;
      } catch (TopicExistsException ignored) {
      }
    }

    if (!success) {
      Assert.fail("failed to create " + topic);
    }
  }

  private Map<String, List<PartitionInfo>> listTopics() {
    Properties props = new Properties();
    props.put("bootstrap.servers", kafkaContainer.getBootstrapServers());
    props.put("group.id", "test-container-consumer-group");
    props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
    props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

    KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
    Map<String, List<PartitionInfo>> topics = consumer.listTopics();
    consumer.close();

    return topics;
  }