在Windows安装运行Kafka

参考网址：

https://www.cnblogs.com/flower1990/p/7466882.html

https://blog.csdn.net/cx2932350/article/details/78870135

在Windows安装运行Kafka

一、安装JAVA JDK

1、下载安装包

http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html

注意：根据32/64位操作系统下载对应的安装包

2、添加系统变量：JAVA_HOME=C:\Program Files (x86)\Java\jdk1.8.0_144

二、安装ZooKeeper

1、 下载安装包

http://zookeeper.apache.org/releases.html#download

2、 解压并进入ZooKeeper目录，笔者：D:\privateSoft\zookeeper-3.4.13\conf

3、 将“zoo_sample.cfg”重命名为“zoo.cfg”

4、 打开“zoo.cfg”找到并编辑dataDir=D:\\privateSoft\\zookeeper-3.4.13\\tmp

#日志目录

dataLogDir=D:\\privateSoft\\zookeeper-3.4.13\\log

5、 添加系统变量：ZOOKEEPER_HOME=D:\privateSoft\zookeeper-3.4.13

6、 编辑path系统变量，添加路径：%ZOOKEEPER_HOME%\bin

7、 在zoo.cfg文件中修改默认的Zookeeper端口（默认端口2181）

8、 打开新的cmd，输入“zkServer.cmd“，运行Zookeeper

9、 命令行提示如下：说明本地Zookeeper启动成功

注意：不要关了这个窗口

三、安装Kafka

1、 下载安装包

http://kafka.apache.org/downloads

注意要下载二进制版本

2、 解压并进入Kafka目录，笔者：D:\Kafka\kafka_2.12-0.11.0.0

3、 进入config目录找到文件server.properties并打开

4、 找到并编辑log.dirs=D:\Kafka\kafka_2.12-0.11.0.0\kafka-logs

5、 找到并编辑zookeeper.connect=localhost:2181

6、 Kafka会按照默认，在9092端口上运行，并连接zookeeper的默认端口：2181

7、 进入Kafka安装目录D:\Kafka\kafka_2.12-0.11.0.0，按下Shift+右键，选择“打开命令窗口”选项，打开命令行，输入：

.\bin\windows\kafka-server-start.bat .\config\server.properties

注意：注意：不要关了这个窗口，启用Kafka前请确保ZooKeeper实例已经准备好并开始运行

四、测试

1、 创建主题，进入Kafka安装目录D:\Kafka\kafka_2.12-0.11.0.0，按下Shift+右键，选择“打开命令窗口”选项，打开命令行，输入：

.\bin\windows\kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test

注意：不要关了这个窗口

查看主题输入：

.\bin\windows\kafka-topics.bat --list --zookeeper localhost:2181

2、 创建生产者，进入Kafka安装目录D:\Kafka\kafka_2.12-0.11.0.0，按下Shift+右键，选择“打开命令窗口”选项，打开命令行，输入：

.\bin\windows\kafka-console-producer.bat --broker-list localhost:9092 --topic test

注意：不要关了这个窗口

3、 创建消费者，进入Kafka安装目录D:\Kafka\kafka_2.12-0.11.0.0，按下Shift+右键，选择“打开命令窗口”选项，打开命令行，输入：

.\bin\windows\kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic test --from-beginning

4、 大功告成

五、配置文件

1、zookeeper

# 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.

#数据目录

dataDir=D:\\privateSoft\\zookeeper-3.4.13\\tmp\\zookeeper

#日志目录

dataLogDir=D:\\privateSoft\\zookeeper-3.4.13\\log

# 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

2、kafka

# 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://:9092

listeners = PLAINTEXT://127.0.0.1:9092

port=9092

advertised.listeners = PLAINTEXT://127.0.0.1:9092

# 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 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=D:\\privateSoft\\kafka_2.11-2.1.1\\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 during application startup.

group.initial.rebalance.delay.ms=0

六、错误解决：

遇到问题：

1、

cmd运行：.\bin\windows\kafka-server-start.bat .\config\server.properties提示

错误: 找不到或无法加载主类 Files\Java\jdk1.8.0_101\lib\dt.jar;C:\Program

java环境由JRE换成JDK的话，需要修改kafka_2.12-1.0.0\bin\windows\kafka-run-class.bat文件。

具体修改内容是，将：

set COMMAND=%JAVA% %KAFKA_HEAP_OPTS% %KAFKA_JVM_PERFORMANCE_OPTS% %KAFKA_JMX_OPTS% %KAFKA_LOG4J_OPTS% -cp %CLASSPATH% %KAFKA_OPTS% %

改为：

set COMMAND=%JAVA% %KAFKA_HEAP_OPTS% %KAFKA_JVM_PERFORMANCE_OPTS% %KAFKA_JMX_OPTS% %KAFKA_LOG4J_OPTS% -cp "%CLASSPATH%" %KAFKA_OPTS% %

2、

java.nio.file.InvalidPathException: Illegal char <      > at index 29: D:privateSoftkafka_2.11-2.1.1    mpkafka-logs\meta.properties.tmp

        at sun.nio.fs.WindowsPathParser.normalize(WindowsPathParser.java:182)

        at sun.nio.fs.WindowsPathParser.parse(WindowsPathParser.java:153)

        at sun.nio.fs.WindowsPathParser.parse(WindowsPathParser.java:77)

        at sun.nio.fs.WindowsPath.parse(WindowsPath.java:94)

        at sun.nio.fs.WindowsFileSystem.getPath(WindowsFileSystem.java:255)

        at java.io.File.toPath(File.java:2234)

        at kafka.server.BrokerMetadataCheckpoint.read(BrokerMetadataCheckpoint.scala:60)

        at kafka.server.KafkaServer$$anonfun$getBrokerIdAndOfflineDirs$1.apply(KafkaServer.scala:670)

        at kafka.server.KafkaServer$$anonfun$getBrokerIdAndOfflineDirs$1.apply(KafkaServer.scala:668)

        at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)

        at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)

        at kafka.server.KafkaServer.getBrokerIdAndOfflineDirs(KafkaServer.scala:668)

        at kafka.server.KafkaServer.startup(KafkaServer.scala:209)

        at kafka.server.KafkaServerStartable.startup(KafkaServerStartable.scala:38)

        at kafka.Kafka$.main(Kafka.scala:75)

        at kafka.Kafka.main(Kafka.scala)

解决方案：

原因：log.dirs的日志目录路径地址错误

错误的：log.dirs=D:\privateSoft\kafka_2.11-2.1.1\tmp\kafka-logs

正确的：log.dirs=D:\\privateSoft\\kafka_2.11-2.1.1\\tmp\\kafka-logs

3、

kafka.zookeeper.ZooKeeperClientTimeoutException: Timed out waiting for connection while in state: CONNECTING

        at kafka.zookeeper.ZooKeeperClient$$anonfun$kafka$zookeeper$ZooKeeperClient$$waitUntilConnected$1.apply$mcV$sp(ZooKeeperClient.scala:268)

        at kafka.zookeeper.ZooKeeperClient$$anonfun$kafka$zookeeper$ZooKeeperClient$$waitUntilConnected$1.apply(ZooKeeperClient.scala:264)

        at kafka.zookeeper.ZooKeeperClient$$anonfun$kafka$zookeeper$ZooKeeperClient$$waitUntilConnected$1.apply(ZooKeeperClient.scala:264)

        at kafka.utils.CoreUtils$.inLock(CoreUtils.scala:251)

        at kafka.zookeeper.ZooKeeperClient.kafka$zookeeper$ZooKeeperClient$$waitUntilConnected(ZooKeeperClient.scala:264)

        at kafka.zookeeper.ZooKeeperClient.(ZooKeeperClient.scala:97)

        at kafka.zk.KafkaZkClient$.apply(KafkaZkClient.scala:1693)

        at kafka.server.KafkaServer.kafka$server$KafkaServer$$createZkClient$1(KafkaServer.scala:348)

        at kafka.server.KafkaServer.initZkClient(KafkaServer.scala:372)

        at kafka.server.KafkaServer.startup(KafkaServer.scala:202)

        at kafka.server.KafkaServerStartable.startup(KafkaServerStartable.scala:38)

        at kafka.Kafka$.main(Kafka.scala:75)

        at kafka.Kafka.main(Kafka.scala)

原因：ZooKeeper的日志路径没有配置

解决方案：

添加日志目录：

#日志目录

dataLogDir=D:\\privateSoft\\zookeeper-3.4.13\\log