Window系统下搭建Zookeeper和Kafka环境

一.准备工具

JDK 1.8 (此环境就不赘述,自行百度下载搭建)
Zookeeper安装包(下载)
Kafka安装包(下载)

二.安装Zookeeper

下载好压缩包后,解压到本地磁盘,此处的解压路径为D:\KafkaTool\zookeeper-3.4.12
打开路径D:\KafkaTool\zookeeper-3.4.12\conf下的zoo_sample.cfg,为了方便管理,将该文件重命名为zoo.cfg

修改dataDir保存路径.用文本编辑器打开zoo.cfg,将dataDir=/tmp/zookeeper改成dataDir=D:\\KafkaTool\\zookeeper-3.4.12\\tmp(此处是本人的配置,读者根据个人实际安装路径配置).该文件修改后如下所示:

# 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=D:\\KafkaTool\\zookeeper-3.4.12\\tmp
# 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=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1

系统变量中添加ZOOKEEPER_HOME=D:\KafkaTool\zookeeper-3.4.12,编辑系统变量中的path变量，增加%ZOOKEEPER_HOME%\bin
在zoo.cfg文件中修改默认的Zookeeper端口(默认端口2181)
打开cmd窗口，输入zkserver，运行Zookeeper，运行结果如下：

如果输入zkserver命令,出现以上界面,说明Zookeeper已经安装完成，已在2181端口运行

三.安装Kafka

1.解压已下载好的Kafka安装包,此处的解压路径为D:\KafkaTool\kafka_2.10-0.10.2.1

2.用文本编辑器打开D:\KafkaTool\kafka_2.10-0.10.2.1\config目录下的server.properties文件,将其内容中的log.dirs=/tmp/kafka-logs改成log.dirs=D:\\KafkaTool\\kafka_2.10-0.10.2.1\\kafka-logs.其修改后的内容如下所示:

# 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

# Switch to enable topic deletion or not, default value is false
#delete.topic.enable=true

############################# 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://: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://your.host.name: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 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=D:\\KafkaTool\\kafka_2.10-0.10.2.1\\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 due to age
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. 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

3.此时就可以运行Kafka了.进入Kafka的安装目录D:\KafkaTool\kafka_2.10-0.10.2.1,在空白处按下shift+鼠标右键,选择"在此处打开命令窗口"，打开命令行.在命令行中输入：.\bin\windows\kafka-server-start.bat .\config\server.properties 回车。如下图所示:

正确运行的情况如下:

此时zookeeper以及kafka都已正确运行.

四.测试使用Kafka的消息机制功能

1.创建主题topics

进入D:\KafkaTool\kafka_2.10-0.10.2.1\bin\windows文件夹,在空白处按下shift+鼠标右键,选择"在此处打开命令窗口"，打开命令行,输入命令: kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic haige

2.创建生产者producer

进入D:\KafkaTool\kafka_2.10-0.10.2.1\bin\windows文件夹,在空白处按下shift+鼠标右键,选择"在此处打开命令窗口"，打开命令行,输入命令: kafka-console-producer.bat --broker-list localhost:9092 --topic haige

3.创建消费者consumer

进入D:\KafkaTool\kafka_2.10-0.10.2.1\bin\windows文件夹,在空白处按下shift+鼠标右键,选择"在此处打开命令窗口"，打开命令行,输入命令: kafka-console-consumer.bat --zookeeper localhost:2181 --topic haige

注意在运行过程中,不要关闭以上窗口.就可以在生产者producer控制台窗口输入消息了。在消息输入过后，很快消费者Consumer窗口就会显示出Producer发送的消息