这里我们罗列一下我们的环境 10.19.18.88 zk1 10.19.16.84 zk2 10.19.11.44 zk3



 

这里公司需要接入kafka用于zipkin来定位调用链

kafka 的地址是http://kafka.apache.org/

zipkin 的地址是https://github.com/openzipkin/zipkin/tree/master/zipkin-server#environment-variables

kafka-manager 地址是https://github.com/yahoo/kafka-manager

这里首先我们现在kafka的下载包

kafka     download      http://kafka.apache.org/downloads      https://archive.apache.org/dist/kafka/0.11.0.0/kafka_2.11-0.11.0.0.tgz

 

下载包之后我们直接解压使用，因为这里我们环境已经配置过zookeeper

所以这里我就不配置kafka/config/zookeeper.properties

我们直接修改kafka的配置文件：



# The id of the broker. This must be set to a unique integer for each broker.  
broker.id=1
############################# Socket Server Settings #############################  
listeners=PLAINTEXT://10.19.18.88:1092
port=1092
host.name=10.19.18.88
# The number of threads handling network requests  
num.network.threads=8
# 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
# The number of queued requests allowed before blocking the network threads  
queued.max.requests=100
# The purge interval (in number of requests) of the fetch request purgatory  
fetch.purgatory.purge.interval.requests=200
# The purge interval (in number of requests) of the producer request purgatory  
producer.purgatory.purge.interval.requests=200
  
############################# Log Basics #############################  
# A comma seperated list of directories under which to store log files  
log.dirs=/data/package/kafka/kafka-logs
# The default number of log partitions per topic.   
num.partitions=24
# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.  
num.recovery.threads.per.data.dir=2
# The maximum size of message that the server can receive  
message.max.bytes=1000000
# Enable auto creation of topic on the server  
auto.create.topics.enable=true
# The interval with which we add an entry to the offset index  
log.index.interval.bytes=4096
# The maximum size in bytes of the offset index  
log.index.size.max.bytes=10485760
# Allow to delete topics
delete.topic.enable=true
############################# Log Flush Policy #############################  
# The number of messages to accept before forcing a flush of data to disk  
log.flush.interval.messages=20000
# The maximum amount of time a message can sit in a log before we force a flush  
log.flush.interval.ms=10000
# The frequency in ms that the log flusher checks whether any log needs to be flushed to disk  
log.flush.scheduler.interval.ms=2000
############################# Log Retention Policy #############################  
# The minimum age of a log file to be eligible for deletion  
log.retention.hours=168
# A size-based retention policy for logs.   
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
# The maximum time before a new log segment is rolled out (in hours)  
log.roll.hours=168
############################# Zookeeper #############################  
# Zookeeper connection string (see zookeeper docs for details).  
zookeeper.connect=10.19.18.88:12081,10.19.16.84:12081,10.19.11.44:12081
# Timeout in ms for connecting to zookeeper  
zookeeper.connection.timeout.ms=6000
# How far a ZK follower can be behind a ZK leader  
zookeeper.sync.time.ms=2000
  
############################# Replication configurations ################  
# default replication factors for automatically created topics  
default.replication.factor=3
# Number of fetcher threads used to replicate messages from a source broker.  
num.replica.fetchers=4
# The number of bytes of messages to attempt to fetch for each partition.  
replica.fetch.max.bytes=1048576
# max wait time for each fetcher request issued by follower replicas.   
replica.fetch.wait.max.ms=500
# The frequency with which the high watermark is saved out to disk  
replica.high.watermark.checkpoint.interval.ms=5000
# The socket timeout for network requests.  
replica.socket.timeout.ms=30000
# The socket receive buffer for network requests  
replica.socket.receive.buffer.bytes=65536
# If a follower hasn't sent any fetch requests or hasn't consumed up to the leaders log end offset for at least this time, the leader will remove the follower from isr  
replica.lag.time.max.ms=10000
# The socket timeout for controller-to-broker channels  
controller.socket.timeout.ms=30000
controller.message.queue.size=10

这里不同的就是上面红色标注的，我们这里有三台机器组成的kafka集群



 



vim bin/kafka-server-start.sh 修改最后一行 #exec $base_dir/kafka-run-class.sh $EXTRA_ARGS kafka.Kafka "$@" exec $base_dir/kafka-run-class.sh $EXTRA_ARGS kafka.Kafka "/data/package/kafka/config/server.properties"



 同样的方法，我们修改一下其他的两台server的配置文件

然后我们就可以一次启动kafka了。

最后我们安装kafka-manager


功能：
为了简化开发者和服务工程师维护Kafka集群的工作，yahoo构建了一个叫做Kafka管理器的基于Web工具，叫做 Kafka Manager。这个管理工具可以很容易地发现分布在集群中的哪些topic分布不均匀，或者是分区在整个集群分布不均匀的的情况。它支持管理多个集群、选择副本、副本重新分配以及创建Topic。同时，这个管理工具也是一个非常好的可以快速浏览这个集群的工具，有如下功能：

1.管理多个kafka集群
2.便捷的检查kafka集群状态(topics,brokers,备份分布情况,分区分布情况)
3.选择你要运行的副本
4.基于当前分区状况进行
5.可以选择topic配置并创建topic(0.8.1.1和0.8.2的配置不同)
6.删除topic(只支持0.8.2以上的版本并且要在broker配置中设置delete.topic.enable=true)
7.Topic list会指明哪些topic被删除（在0.8.2以上版本适用）
8.为已存在的topic增加分区
9.为已存在的topic更新配置
10.在多个topic上批量重分区
11.在多个topic上批量重分区(可选partition broker位置)
安装步骤

1、获取kafka-manager源码，并编译打包
# cd /usr/local
# git clone https://github.com/yahoo/kafka-manager
# cd kafka-manager
# ./sbt clean dist
注: 执行sbt编译打包可能花费很长时间，如果你hang在如下情况
将project/plugins.sbt 中的logLevel参数修改为logLevel := Level.Debug(默认为Warn)

2、安装配置
编译成功后，会在target/universal下生成一个zip包

# cd /usr/local/kafka-manager/target/universal
# unzip kafka-manager-1.3.3.7.zip  
将application.conf中的kafka-manager.zkhosts的值设置为你的zk地址
如：kafka-manager.zkhosts="172.16.218.201:2181,172.16.218.202:2181,172.16.218.203:2181"
3、启动,指定配置文件位置和启动端口号，默认为9000
直接启动：

# cd kafka-manager-1.3.3.7/bin 
# ./kafka-manager -Dconfig.file=../conf/application.conf
后台运行：

# ./kafka-manager -h 
# nohup ./kafka-manager -Dconfig.file=../conf/application.conf &
指定端口，例如：

# nohup bin/kafka-manager -Dconfig.file=conf/application.conf -Dhttp.port=9001 &
第一次进入web UI要进行kafka cluster的相关配置，根据自己的信息进行配置。