无法通过java代码从windows连接到远程kafka生产者

xoshrz7s  于 2021-06-08  发布在  Kafka
关注(0)|答案(1)|浏览(295)

我试图测试我的Kafka生产者代码从WindowsEclipse到远程Kafka生产者（在aws云运行），但我得到下面的错误，我附加了我的代码和错误，我搜索了很多，但仍然没有工作。

public static void main(String[] args) {

    Properties props = new Properties();
    props.put("metadata.broker.list", "52.74.109.118:9092");

    props.put("serializer.class", "kafka.serializer.StringEncoder");
    props.put("advertised.host.name", "kafka");
    // props.put("serializer.class",
    // com.funspot.utils.SerializerUtils.class);
    props.put("request.required.acks", "1");
    ProducerConfig config = new ProducerConfig(props);
    Producer<String, String> kafkaProducer = new Producer<String, String>(
            config);

    String msg = "hai";
    KeyedMessage<String, String> keyedMessage = new KeyedMessage<String, String>(
            "messaging.sms", msg);
    System.out.println(msg);

    kafkaProducer.send(keyedMessage);

    System.out.println("message sent");
}

错误日志

hai
[2015-05-13 19:21:13,968] ERROR fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.utils.Utils$:106)
kafka.common.KafkaException: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:72)
    at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
    at kafka.producer.async.DefaultEventHandler$$anonfun$handle$1.apply$mcV$sp(DefaultEventHandler.scala:67)
    at kafka.utils.Utils$.swallow(Utils.scala:172)
    at kafka.utils.Logging$class.swallowError(Logging.scala:106)
    at kafka.utils.Utils$.swallowError(Utils.scala:45)
    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:67)
    at kafka.producer.Producer.send(Producer.scala:77)
    at kafka.javaapi.producer.Producer.send(Producer.scala:33)
    at com.ladooo.util.KafkaProducer.main(KafkaProducer.java:33)
Caused by: java.nio.channels.ClosedChannelException
    at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
    at kafka.producer.SyncProducer.send(SyncProducer.scala:113)
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:58)
    ... 9 more
[2015-05-13 19:21:13,984] ERROR Failed to collate messages by topic, partition due to: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.producer.async.DefaultEventHandler:97)
[2015-05-13 19:21:14,094] ERROR fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.utils.Utils$:106)
kafka.common.KafkaException: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:72)
    at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
    at kafka.producer.async.DefaultEventHandler$$anonfun$handle$2.apply$mcV$sp(DefaultEventHandler.scala:78)
    at kafka.utils.Utils$.swallow(Utils.scala:172)
    at kafka.utils.Logging$class.swallowError(Logging.scala:106)
    at kafka.utils.Utils$.swallowError(Utils.scala:45)
    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:78)
    at kafka.producer.Producer.send(Producer.scala:77)
    at kafka.javaapi.producer.Producer.send(Producer.scala:33)
    at com.ladooo.util.KafkaProducer.main(KafkaProducer.java:33)
Caused by: java.nio.channels.ClosedChannelException
    at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
    at kafka.producer.SyncProducer.send(SyncProducer.scala:113)
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:58)
    ... 9 more
[2015-05-13 19:21:14,094] ERROR Failed to collate messages by topic, partition due to: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.producer.async.DefaultEventHandler:97)
[2015-05-13 19:21:14,203] ERROR fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.utils.Utils$:106)
kafka.common.KafkaException: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:72)
    at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
    at kafka.producer.async.DefaultEventHandler$$anonfun$handle$2.apply$mcV$sp(DefaultEventHandler.scala:78)
    at kafka.utils.Utils$.swallow(Utils.scala:172)
    at kafka.utils.Logging$class.swallowError(Logging.scala:106)
    at kafka.utils.Utils$.swallowError(Utils.scala:45)
    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:78)
    at kafka.producer.Producer.send(Producer.scala:77)
    at kafka.javaapi.producer.Producer.send(Producer.scala:33)
    at com.ladooo.util.KafkaProducer.main(KafkaProducer.java:33)
Caused by: java.nio.channels.ClosedChannelException
    at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
    at kafka.producer.SyncProducer.send(SyncProducer.scala:113)
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:58)
    ... 9 more
[2015-05-13 19:21:14,203] ERROR Failed to collate messages by topic, partition due to: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.producer.async.DefaultEventHandler:97)
[2015-05-13 19:21:14,312] ERROR fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.utils.Utils$:106)
kafka.common.KafkaException: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:72)
    at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
    at kafka.producer.async.DefaultEventHandler$$anonfun$handle$2.apply$mcV$sp(DefaultEventHandler.scala:78)
    at kafka.utils.Utils$.swallow(Utils.scala:172)
    at kafka.utils.Logging$class.swallowError(Logging.scala:106)
    at kafka.utils.Utils$.swallowError(Utils.scala:45)
    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:78)
    at kafka.producer.Producer.send(Producer.scala:77)
    at kafka.javaapi.producer.Producer.send(Producer.scala:33)
    at com.ladooo.util.KafkaProducer.main(KafkaProducer.java:33)
Caused by: java.nio.channels.ClosedChannelException
    at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
    at kafka.producer.SyncProducer.send(SyncProducer.scala:113)
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:58)
    ... 9 more
[2015-05-13 19:21:14,312] ERROR Failed to collate messages by topic, partition due to: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.producer.async.DefaultEventHandler:97)
[2015-05-13 19:21:14,421] ERROR fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed (kafka.utils.Utils$:106)
kafka.common.KafkaException: fetching topic metadata for topics [Set(messaging.sms)] from broker [ArrayBuffer(id:0,host:kafka,port:9092)] failed
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:72)
    at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
    at kafka.producer.async.DefaultEventHandler$$anonfun$handle$2.apply$mcV$sp(DefaultEventHandler.scala:78)
    at kafka.utils.Utils$.swallow(Utils.scala:172)
    at kafka.utils.Logging$class.swallowError(Logging.scala:106)
    at kafka.utils.Utils$.swallowError(Utils.scala:45)
    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:78)
    at kafka.producer.Producer.send(Producer.scala:77)
    at kafka.javaapi.producer.Producer.send(Producer.scala:33)
    at com.ladooo.util.KafkaProducer.main(KafkaProducer.java:33)
Caused by: java.nio.channels.ClosedChannelException
    at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
    at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
    at kafka.producer.SyncProducer.send(SyncProducer.scala:113)
    at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:58)
    ... 9 more
[2015-05-13 19:21:14,421] ERROR Failed to send requests for topics messaging.sms with correlation ids in [0,8] (kafka.producer.async.DefaultEventHandler:97)
Exception in thread "main" kafka.common.FailedToSendMessageException: Failed to send messages after 3 tries.
    at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:90)
    at kafka.producer.Producer.send(Producer.scala:77)
    at kafka.javaapi.producer.Producer.send(Producer.scala:33)
    at com.ladooo.util.KafkaProducer.main(KafkaProducer.java:33)

服务器属性


# Licensed to the Apache Software Foundation (ASF) under one or more

# contributor license agreements.  See the NOTICE file distributed with

# this work for additional information regarding copyright ownership.

# The ASF licenses this file to You under the Apache License, Version 2.0

# (the "License"); you may not use this file except in compliance with

# the License.  You may obtain a copy of the License at

# 

# http://www.apache.org/licenses/LICENSE-2.0

# 

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

# see kafka.server.KafkaConfig for additional details and defaults

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.

broker.id=0

############################# Socket Server Settings #############################

# The port the socket server listens on

port=9092

# Hostname the broker will bind to. If not set, the server will bind to all interfaces

host.name=kafka

# Hostname the broker will advertise to producers and consumers. If not set, it uses the

# value for "host.name" if configured.  Otherwise, it will use the value returned from

# java.net.InetAddress.getCanonicalHostName().

# advertised.host.name=<>

# The port to publish to ZooKeeper for clients to use. If this is not set,

# it will publish the same port that the broker binds to.

# advertised.port=<>

# The number of threads handling network requests

num.network.threads=3

# The number of threads doing disk I/O

num.io.threads=8

# The send buffer (SO_SNDBUF) used by the socket server

socket.send.buffer.bytes=102400

# The receive buffer (SO_RCVBUF) used by the socket server

socket.receive.buffer.bytes=102400

# The maximum size of a request that the socket server will accept (protection against OOM)

socket.request.max.bytes=104857600

############################# Log Basics #############################

# A comma seperated list of directories under which to store log files

log.dirs=/home/ubuntu/kafka-logs

# The default number of log partitions per topic. More partitions allow greater

# parallelism for consumption, but this will also result in more files across

# the brokers.

num.partitions=1

# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.

# This value is recommended to be increased for installations with data dirs located in RAID array.

num.recovery.threads.per.data.dir=1

############################# Log Flush Policy #############################

# Messages are immediately written to the filesystem but by default we only fsync() to sync

# the OS cache lazily. The following configurations control the flush of data to disk.

# There are a few important trade-offs here:

# 1. Durability: Unflushed data may be lost if you are not using replication.

# 2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.

# 3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive seeks.

# The settings below allow one to configure the flush policy to flush data after a period of time or

# every N messages (or both). This can be done globally and overridden on a per-topic basis.

# The number of messages to accept before forcing a flush of data to disk

# log.flush.interval.messages=10000

# The maximum amount of time a message can sit in a log before we force a flush

# log.flush.interval.ms=1000

############################# Log Retention Policy #############################

# The following configurations control the disposal of log segments. The policy can

# be set to delete segments after a period of time, or after a given size has accumulated.

# A segment will be deleted whenever *either* of these criteria are met. Deletion always happens

# from the end of the log.

# The minimum age of a log file to be eligible for deletion

log.retention.hours=168

# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining

# segments don't drop below log.retention.bytes.

# log.retention.bytes=1073741824

# The maximum size of a log segment file. When this size is reached a new log segment will be created.

log.segment.bytes=1073741824

# The interval at which log segments are checked to see if they can be deleted according

# to the retention policies

log.retention.check.interval.ms=300000

# By default the log cleaner is disabled and the log retention policy will default to just delete segments after their retention expires.

# If log.cleaner.enable=true is set the cleaner will be enabled and individual logs can then be marked for log compaction.

log.cleaner.enable=false

############################# Zookeeper #############################

# Zookeeper connection string (see zookeeper docs for details).

# This is a comma separated host:port pairs, each corresponding to a zk

# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".

# You can also append an optional chroot string to the urls to specify the

# root directory for all kafka znodes.

zookeeper.connect=zookeeper:2181

# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=6000
apache-kafka

1条答案

按热度按时间
7rtdyuoh

7rtdyuoh1#

问题得到了解决，在kafka配置中的server.properties中添加了一行 advertised.host.name=ec2<ip>ap-southeast-1.compute.amazonaws.com （您必须给出ec2机器的完全限定名）并重新启动zookeeper和kafka。
但是这在两台物理机器之间工作得很好，甚至没有给出以下特性

advertised.host.name
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