im使用模块kafka节点https://github.com/sohu-co/kafka-node
每次我重新启动消费者时，他们都会收到所有旧消息，我使用循环系统（负载平衡）
您知道我如何向服务器声明我已使用了一条消息，并且在我重新启动消费者时他不再向我发送该消息吗？
我的代码或配置服务器中有错误吗？
你知道吗？

生产商代码

var kafka = require('kafka-node');
var HighLevelProducer = kafka.HighLevelProducer;
var Client = kafka.Client;
var client = new Client('xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181', 'consumer' + process.pid);
var argv = require('optimist').argv;
var topic = argv.topic || 'test_12345';
var producer = new HighLevelProducer(client);
var time = process.hrtime();

var message, diff,i=0;
producer.on('ready', function () {
    setInterval(function(){
        var date = new Date();
        var dateString = date.getFullYear() + "-" +((date.getMonth()+1)<10 ? '0'+(date.getMonth()+1) : (date.getMonth()+1)) + "-" +(date.getDate()<10 ? '0'+date.getDate() : date.getDate()) + " " +(date.getHours()<10 ? '0'+date.getHours() : date.getHours()) + ":" +(date.getMinutes()<10 ? '0'+date.getMinutes() : date.getMinutes()) + ":" +(date.getSeconds()<10 ? '0'+date.getSeconds() : date.getSeconds());
        message = JSON.stringify({'message' : 'hello - '+dateString});
        console.log(message);
        send(message);
    },1000);
});

function send(message) {
    producer.send([
        {topic: topic, messages: [message] }
    ], function (err, data) {
        console.log(data);
        if (err) console.log(err);
    });
}

工人代码：

var kafka = require('kafka-node');
var HighLevelConsumer = kafka.HighLevelConsumer;
var Offset = kafka.Offset;
var Client = kafka.Client;
var argv = require('optimist').argv;
var topic = argv.topic || 'test_12345';
var client = new Client('xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181','consumer'+process.pid);
var payloads = [ { topic: topic }];
var options = {
    groupId: 'kafka-node-group',
// Auto commit config
    autoCommit: true,
    autoCommitMsgCount: 100,
    autoCommitIntervalMs: 5000,
// Fetch message config
    fetchMaxWaitMs: 100,
    fetchMinBytes: 1,
    fetchMaxBytes: 1024 * 10,
    fromOffset: false,
    fromBeginning: false
};
var consumer = new HighLevelConsumer(client, payloads, options);
var offset = new Offset(client);

consumer.on('message', function (message) {
    console.log(this.id, message);
});
consumer.on('error', function (err) {
    console.log('error', err);
});
consumer.on('offsetOutOfRange', function (topic) {
    console.log("------------- offsetOutOfRange ------------");
    topic.maxNum = 2;
    offset.fetch([topic], function (err, offsets) {
        var min = Math.min.apply(null, offsets[topic.topic][topic.partition]);
        consumer.setOffset(topic.topic, topic.partition, min);
    });
});

zookeeper zoo.cfg（5台服务器）

The number of milliseconds of each tick
tickTime=2000

# The number of ticks that the initial

# synchronization phase can take

initLimit=10

# The number of ticks that can pass between

# sending a request and getting an acknowledgement

syncLimit=5

# the directory where the snapshot is stored.

# do not use /tmp for storage, /tmp here is just

# example sakes.

dataDir=/etc/zookeeper/data

# the port at which the clients will connect

clientPort=2181

# the maximum number of client connections.

# increase this if you need to handle more clients

# maxClientCnxns=60

# 

# Be sure to read the maintenance section of the

# administrator guide before turning on autopurge.

# 

# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance

# 

# The number of snapshots to retain in dataDir

autopurge.snapRetainCount=5

# Purge task interval in hours

# Set to "0" to disable auto purge feature

autopurge.purgeInterval=24
server.1=xxx.xxx.xxx.xxx:2888:3888
server.2=xxx.xxx.xxx.xxx:2888:3888
server.3=xxx.xxx.xxx.xxx:2888:3888
server.4=xxx.xxx.xxx.xxx:2888:3888
server.5=xxx.xxx.xxx.xxx:2888:3888
leaderServes = false

kafka server.properties（5台服务器）

# 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=5

############################# 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=localhost

# 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=<hostname routable by clients>

# 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=<port accessible by clients>

# The number of threads handling network requests

num.network.threads=4

# 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=1048576

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

socket.receive.buffer.bytes=1048576

# 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=/etc/kafka/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=10

############################# 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=536870912

# 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=60000

# 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=xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181,xxx.xxx.xxx.xxx:2181

# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=1000000    

# metrics reporter properties

# kafka.metrics.polling.interval.secs=5

# kafka.metrics.reporters=kafka.metrics.KafkaCSVMetricsReporter

# kafka.csv.metrics.dir=/etc/kafka/kafka_metrics

# Disable csv reporting by default.

# kafka.csv.metrics.reporter.enabled=false

replica.lag.max.messages=10000000

default.replication.factor=5
controlled.shutdown.enable=true

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