我把一个太大的消息推到我本地机器的kafka消息主题中,现在我得到一个错误:
kafka.common.InvalidMessageSizeException: invalid message size
增加取回。size在这里并不理想,因为我实际上并不想接受那么大的消息。
我把一个太大的消息推到我本地机器的kafka消息主题中,现在我得到一个错误:
kafka.common.InvalidMessageSizeException: invalid message size
增加取回。size在这里并不理想,因为我实际上并不想接受那么大的消息。
当前回答
这里有很多很棒的答案,但在其中,我没有找到一个关于docker的答案。我花了一些时间来弄清楚在这种情况下使用代理容器是错误的(显然!!)
## this is wrong!
docker exec broker1 kafka-topics --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000
Exception in thread "main" kafka.zookeeper.ZooKeeperClientTimeoutException: Timed out waiting for connection while in state: CONNECTING
at kafka.zookeeper.ZooKeeperClient.$anonfun$waitUntilConnected$3(ZooKeeperClient.scala:258)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at kafka.utils.CoreUtils$.inLock(CoreUtils.scala:253)
at kafka.zookeeper.ZooKeeperClient.waitUntilConnected(ZooKeeperClient.scala:254)
at kafka.zookeeper.ZooKeeperClient.<init>(ZooKeeperClient.scala:112)
at kafka.zk.KafkaZkClient$.apply(KafkaZkClient.scala:1826)
at kafka.admin.TopicCommand$ZookeeperTopicService$.apply(TopicCommand.scala:280)
at kafka.admin.TopicCommand$.main(TopicCommand.scala:53)
at kafka.admin.TopicCommand.main(TopicCommand.scala)
我应该使用zookeeper:2181而不是——zookeeper localhost:2181作为我的撰写文件
## this might be an option, but as per comment below not all zookeeper images can have this script included
docker exec zookeper1 kafka-topics --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000
正确的命令应该是
docker exec broker1 kafka-configs --zookeeper zookeeper:2181 --alter --entity-type topics --entity-name dev_gdn_urls --add-config retention.ms=12800000
希望能节省一些人的时间。
另外,请注意消息不会立即删除,而是在关闭日志段时删除。
其他回答
根据@steven appleyard的回答,我在Kafka 2.2.0上执行了以下命令,它们对我有用。
bin/kafka-configs.sh --zookeeper localhost:2181 --entity-type topics --entity-name <topic-name> --describe
bin/kafka-configs.sh --zookeeper localhost:2181 --entity-type topics --entity-name <topic-name> --alter --add-config retention.ms=1000
bin/kafka-configs.sh --zookeeper localhost:2181 --entity-type topics --entity-name <topic-name> --alter --delete-config retention.ms
另一种手动清除主题的方法是:
在经纪人中:
停止kafka broker Sudo服务kafka停止 删除所有分区日志文件(应该在所有代理上执行) sudo rm - r /kafka-storage/kafka-logs/<some_topic_name>-* .
动物园管理员:
运行zookeeper命令行界面 sudo /usr/lib/zookeeper/bin/zkCli.sh 使用zkCli删除主题元数据 rmr /代理/主题/ < some_topic_name >
在经纪人那里:
重新启动代理服务 Sudo服务kafka启动
这里有很多很棒的答案,但在其中,我没有找到一个关于docker的答案。我花了一些时间来弄清楚在这种情况下使用代理容器是错误的(显然!!)
## this is wrong!
docker exec broker1 kafka-topics --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000
Exception in thread "main" kafka.zookeeper.ZooKeeperClientTimeoutException: Timed out waiting for connection while in state: CONNECTING
at kafka.zookeeper.ZooKeeperClient.$anonfun$waitUntilConnected$3(ZooKeeperClient.scala:258)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at kafka.utils.CoreUtils$.inLock(CoreUtils.scala:253)
at kafka.zookeeper.ZooKeeperClient.waitUntilConnected(ZooKeeperClient.scala:254)
at kafka.zookeeper.ZooKeeperClient.<init>(ZooKeeperClient.scala:112)
at kafka.zk.KafkaZkClient$.apply(KafkaZkClient.scala:1826)
at kafka.admin.TopicCommand$ZookeeperTopicService$.apply(TopicCommand.scala:280)
at kafka.admin.TopicCommand$.main(TopicCommand.scala:53)
at kafka.admin.TopicCommand.main(TopicCommand.scala)
我应该使用zookeeper:2181而不是——zookeeper localhost:2181作为我的撰写文件
## this might be an option, but as per comment below not all zookeeper images can have this script included
docker exec zookeper1 kafka-topics --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000
正确的命令应该是
docker exec broker1 kafka-configs --zookeeper zookeeper:2181 --alter --entity-type topics --entity-name dev_gdn_urls --add-config retention.ms=12800000
希望能节省一些人的时间。
另外,请注意消息不会立即删除,而是在关闭日志段时删除。
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;
}
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();
}