阿帕奇卡夫卡2.3+；Node.js 10.15+；消费者+；制作人

我正在尝试使用nodejs从远程机器连接到远程apachekafka服务器。我无法从nodejs代码生成有关所需卡夫卡主题的消息。我也无法使用该主题中的任何数据

我正在使用ApacheKafka版本2.12\u2.2.1以及Java 8。我还使用了节点版本8.11.0。我启动了zookeeper服务器和kafka服务器。我在ubuntu机器上本地创建了一个主题和一个生产者和消费者来检查ApacheKafka的工作情况，并且我能够生成和消费关于主题的消息。当我使用nodejs在远程windows机器上尝试同样的方法时，我无法得到任何结果。我还尝试将我的服务器添加到config/server.properties文件中的侦听器和播发的.listeners中，但仍然无法工作

我的问题： 我想从节点js建立到kafka服务器的远程连接，并使用主题下生成的消息。 任何帮助都将不胜感激：）谢谢

以下是生产商代码：

var kafka = require('kafka-node'),
    Producer = kafka.Producer,
    KeyedMessage = kafka.KeyedMessage,
    client = new kafka.KafkaClient({kafkaHost: '192.168.1.104:9092'}),
    producer = new Producer(client),
    payloads = [
        { topic: 'topic1', messages: 'hi', partition: 2 }
    ];
producer.on('ready', function () {
    console.log('Connected');
    setInterval(() => {
        producer.send(payloads, function (err, data) {
            console.log(data);
        });
    }, 1000);
});

producer.on('error', function (err) {console.error('Error occurred:', err);})

C:\Users\user\Documents\nodejs>node kafka-producer.js
Connected
undefined

以下是消费者代码：

var kafka = require('kafka-node'),
    Consumer = kafka.Consumer,
    client = new kafka.KafkaClient({kafkaHost: '192.168.1.104:9092'}),
    consumer = new Consumer(client,
        [{ topic: 'topic1', offset: 0}],
        {
            autoCommit: false
        }
    );

consumer.on('message', function (message) {
    console.log(message);
});

consumer.on('error', function (err) {
    console.log('Error:',err);
})

consumer.on('offsetOutOfRange', function (err) {
    console.log('offsetOutOfRange:',err);
})

Error: { TimeoutError: Request timed out after 30000ms    at new TimeoutError (C:\Users\user\Documents\nodejs\node_modules\kafka-node\lib\errors\TimeoutError.js:6:9)
    at Timeout.setTimeout [as _onTimeout] (C:\Users\user\Documents\nodejs\node_modules\kafka-node\lib\kafkaClient.js:491:14)
    at ontimeout (timers.js:482:11)
    at tryOnTimeout (timers.js:317:5)
    at Timer.listOnTimeout (timers.js:277:5) message:
'Request timed out after 30000ms' }

列出了节点js终端的响应消息

对于生产者代码：

var kafka = require('kafka-node'),
    Producer = kafka.Producer,
    KeyedMessage = kafka.KeyedMessage,
    client = new kafka.KafkaClient({kafkaHost: '192.168.1.104:9092'}),
    producer = new Producer(client),
    payloads = [
        { topic: 'topic1', messages: 'hi', partition: 2 }
    ];
producer.on('ready', function () {
    console.log('Connected');
    setInterval(() => {
        producer.send(payloads, function (err, data) {
            console.log(data);
        });
    }, 1000);
});

producer.on('error', function (err) {console.error('Error occurred:', err);})

C:\Users\user\Documents\nodejs>node kafka-producer.js
Connected
undefined

消费者代码：

var kafka = require('kafka-node'),
    Consumer = kafka.Consumer,
    client = new kafka.KafkaClient({kafkaHost: '192.168.1.104:9092'}),
    consumer = new Consumer(client,
        [{ topic: 'topic1', offset: 0}],
        {
            autoCommit: false
        }
    );

consumer.on('message', function (message) {
    console.log(message);
});

consumer.on('error', function (err) {
    console.log('Error:',err);
})

consumer.on('offsetOutOfRange', function (err) {
    console.log('offsetOutOfRange:',err);
})

Error: { TimeoutError: Request timed out after 30000ms    at new TimeoutError (C:\Users\user\Documents\nodejs\node_modules\kafka-node\lib\errors\TimeoutError.js:6:9)
    at Timeout.setTimeout [as _onTimeout] (C:\Users\user\Documents\nodejs\node_modules\kafka-node\lib\kafkaClient.js:491:14)
    at ontimeout (timers.js:482:11)
    at tryOnTimeout (timers.js:317:5)
    at Timer.listOnTimeout (timers.js:277:5) message:
'Request timed out after 30000ms' }

我已将server.properties文件附加到下面：

 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 address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://localhost:9092
#listeners=PLAINTEXT://192.168.1.88:9092

# Hostname and port the broker will advertise to producers and consumers. If not set,
# it uses the value for "listeners" if configured.  Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
advertised.listeners=PLAINTEXT://192.168.1.88:9092,
advertised.listeners=PLAINTEXT://localhost:9092

# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL

# The number of threads that the server uses for receiving requests from the network and sending responses to the network
num.network.threads=3

# The number of threads that the server uses for processing requests, which may include 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 separated list of directories under which to store log files
log.dirs=/tmp/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

############################# Internal Topic Settings  #############################
# The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
# For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=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 excessive 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 due to age
log.retention.hours=168

# A size-based retention policy for logs. Segments are pruned from the log unless the remaining
# segments drop below log.retention.bytes. Functions independently of log.retention.hours.
#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

############################# 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=localhost:2181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000


############################# Group Coordinator Settings #############################

# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
# The default value for this is 3 seconds.
# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances dur$
group.initial.rebalance.delay.ms=0

---

我能够通过使用以下代码解决这个问题。我目前已经设置了代码来生成增量数字，以测试消费者是否工作正常

节点js中的生产者代码：

const kafka = require('kafka-node');
const kafka_topic = 'sample';
try {
  const Producer = kafka.Producer;
  const client = new kafka.KafkaClient({kafkaHost: '192.168.1.246:9092'});
  const producer = new Producer(client);

console.log("Producer Initialised..");



  producer.on('ready', function() {
      let num = 0;
      setInterval(() => {
        let payloads = [
            {
              topic: 'sample',
              messages: num
            }
          ];
          producer.send(payloads, (err, data) => {
            if (err) {
              console.log('[kafka-producer -> '+kafka_topic+']: broker update failed');
            } else {
              console.log('[kafka-producer -> '+kafka_topic+']: broker update success');
            }
          });
          num++;
      }, 2000);

  });

  producer.on('error', function(err) {
    console.log(err);
    console.log('[kafka-producer -> '+kafka_topic+']: connection errored');
    throw err;
  });
}
catch(e) {
  console.log(e);
}

let kafka =require("kafka-node");

const client = new kafka.KafkaClient({kafkaHost: '192.168.1.246:9092'});

console.log("Initialised..");
const topics = [{
    topic: 'sample',
    offset: 0, //default 0
    partition: 0 // default 0
 }];

const options = {
    autoCommit: true
};

const consumer = new kafka.Consumer(client, topics, options);

consumer.setMaxListeners(11);

consumer.on("ready", function(message) {
    console.log("I am ready");
});
consumer.on("message", function(message) {
    console.log("Hey got message");
    // console.log(message);

   console.log("Message: ", message.value);
});

consumer.on("error", function(err) {
    console.log("error", err);
});

消费者代码是节点js：

const kafka = require('kafka-node');
const kafka_topic = 'sample';
try {
  const Producer = kafka.Producer;
  const client = new kafka.KafkaClient({kafkaHost: '192.168.1.246:9092'});
  const producer = new Producer(client);

console.log("Producer Initialised..");



  producer.on('ready', function() {
      let num = 0;
      setInterval(() => {
        let payloads = [
            {
              topic: 'sample',
              messages: num
            }
          ];
          producer.send(payloads, (err, data) => {
            if (err) {
              console.log('[kafka-producer -> '+kafka_topic+']: broker update failed');
            } else {
              console.log('[kafka-producer -> '+kafka_topic+']: broker update success');
            }
          });
          num++;
      }, 2000);

  });

  producer.on('error', function(err) {
    console.log(err);
    console.log('[kafka-producer -> '+kafka_topic+']: connection errored');
    throw err;
  });
}
catch(e) {
  console.log(e);
}

let kafka =require("kafka-node");

const client = new kafka.KafkaClient({kafkaHost: '192.168.1.246:9092'});

console.log("Initialised..");
const topics = [{
    topic: 'sample',
    offset: 0, //default 0
    partition: 0 // default 0
 }];

const options = {
    autoCommit: true
};

const consumer = new kafka.Consumer(client, topics, options);

consumer.setMaxListeners(11);

consumer.on("ready", function(message) {
    console.log("I am ready");
});
consumer.on("message", function(message) {
    console.log("Hey got message");
    // console.log(message);

   console.log("Message: ", message.value);
});

consumer.on("error", function(err) {
    console.log("error", err);
});

对kafka文件夹中的config/server.properties文件进行以下更改。 注意：-添加您正在使用的安装了kafka和zookeeper的当前计算机的IP地址，以便通过网络从远程计算机使用kafka

Server.properties file

 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 address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://localhost:9092
listeners=PLAINTEXT://192.168.1.246:9092

# Hostname and port the broker will advertise to producers and consumers. If not set,
# it uses the value for "listeners" if configured.  Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
#advertised.listeners=PLAINTEXT://localhost:9092,


# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL

# The number of threads that the server uses for receiving requests from the network and sending responses to the network
num.network.threads=3

# The number of threads that the server uses for processing requests, which may include 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 separated list of directories under which to store log files
log.dirs=/tmp/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

############################# Internal Topic Settings  #############################
# The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
# For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=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 excessive 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 due to age
log.retention.hours=168

# A size-based retention policy for logs. Segments are pruned from the log unless the remaining
# segments drop below log.retention.bytes. Functions independently of log.retention.hours.
#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

############################# 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=localhost:2181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000


############################# Group Coordinator Settings #############################

# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
# The default value for this is 3 seconds.
# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances dur$
group.initial.rebalance.delay.ms=0

这在远程机器上也能完美运行，并已在node版本10.15.0和8.11.0以及Kafka当前LTS版本2.3.0和Zookeeper版本3.5.5

---

希望这有帮助：）

请共享服务器。属性file@cricket_007我已附加server.properties文件。谢谢为什么你有多行听众和广告听众？注意：两个

侦听器

行都有注释，因此实际上不做任何事情，但是应该是纯文本：//0.0.0.0：9092@cricket_007我尝试将其更改为纯文本：//0.0.0.0:9092，但由于致命异常（Kafka.Kafka$）退出Kafka时出现以下错误

错误java.lang.IllegalArgumentException:要求失败：播发。侦听器无法使用不可路由的元地址0.0.0.0。使用可路由的IP地址。

@cricket\u 007我曾尝试将侦听器更改为该地址，但它给了我相同的错误。不过，我还是找到了一些其他的代码，这些代码很有魅力。感谢您的帮助：）如果您希望卡夫卡数据持久化，请不要将其存储在

/tmp

@cricket\u 007中。非常感谢@BhaskarSen：感谢您帮助社区提供如此详细的答案。