kafka节点,消费者总是得到旧消息

即时通讯使用模块kafka-node https://github.com/SOHU-Co/kafka-node

每当我重新启动消费者时,他们都会收到所有旧消息,即使用循环系统(负载均衡)

你有什么想法我怎么能向服务器宣布我消费了一条消息,当我重新启动消费者时他不再发送给我了？

我的代码或配置服务器有些错误？

任何的想法 ？

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);
    });
}

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);
    });
});

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

# 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=

# 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=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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