Windows上搭建Kafka运行环境

1.安装JDK

1.1 安装文件http://www.oracle.com/technetwork/java/javase/downloads/jre8-downloads-2133155.html下载Server JRE

1.2 添加环境变量

1.2.1 添加JAVA_HOME环境变量

1.2.2 Path环境变量：在现有的值后面添加";%JAVA_HOME%\bin"

1.3 打开cmd运行 "java -version" 查看当前系统Java的版本

2.安装运行Zookeeper

Kafka的运行依赖于Zookeeper，所以在运行Kafka之前我们需要安装并运行Zookeeper

2.1下载安装文件http://zookeeper.apache.org/releases.html

2.2解压文件（本文解压到C:\kafka\zookeeper-3.4.11）

2.3打开C:\kafka\zookeeper-3.4.11\conf，把zoo_sample.cfg重命名成zoo.cfg

2.4从文本编辑器里打开zoo.cfg

2.5修改数据存储目录dataDir值：dataDir=C:/kafka/zookeeper-3.4.11/data

注意：该目录不需要手动创建，启动zookeeper服务时会自动创建，路径要么是"/"分割，要么是转义字符"\\"，这样会生成正确的路径(层级，子目录)。

2.6添加环境变量

2.6.1 ZOOKEEPER_HOME环境变量

2.6.2 Path环境变量：在现有的值后面添加 ";%ZOOKEEPER_HOME%\bin;"

2.7运行Zookeeper：打开cmd然后执行命令zkserver

注意：不要关了这个窗口

3.安装运行Kafka

3.1下载安装文件：http://kafka.apache.org/downloads.html

3.2解压文件（本文解压到C:\kafka\kafka_2.12-1.1.0）

3.3打开C:\kafka\kafka_2.12-1.1.0\config目录，从文本编辑器里打开 server.properties

3.4修改数据存储目录log.dirs值

log.dirs=C:/kafka/kafka_2.12-1.1.0/kafka-logs

多个地址的话用逗号分割，多个目录分布在不同磁盘上可以提高读写性能，如：log.dirs=C:/kafka/kafka_2.12-1.1.0/kafka-logs-1,C:/kafka/kafka_2.12-1.1.0/kafka-logs-2,C:/kafka/kafka_2.12-1.1.0/kafka-logs-3

注意：以上目录不需要手动创建，启动kafka服务时会自动创建，路径要么是"/"分割，要么是转义字符"\\"，这样会生成正确的路径(层级，子目录)。

3.5 修改IP地址和端口号(默认9092)，IP地址配置为127.0.0.1只对本机有效

3.6 修改Zookeeper集群地址

zookeeper.connect=192.168.50.234:2181

3.7 其他参数参数：

我的server.properties文件配置参数如下：

# 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://192.168.50.234:9092
host.name=192.168.50.234
port=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://192.168.50.234:9092
advertised.host.name=192.168.50.234
advertised.port=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=5

# The number of threads that the server uses for processing requests, which may include disk I/O
num.io.threads=8
queued.max.requests=5000
# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=1024000

# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=1024000

# 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=C:/kafka/kafka_2.12-1.1.0/kafka-logs-1,C:/kafka/kafka_2.12-1.1.0/kafka-logs-2,C:/kafka/kafka_2.12-1.1.0/kafka-logs-3

# 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=3
transaction.state.log.replication.factor=3
transaction.state.log.min.isr=1
auto.leader.rebalance.enable=true
############################# 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
#log.retention.minutes=2
log.cleaner.enable=true
log.cleanup.policy=delete

# 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=192.168.50.234:2181

# 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

3.8 配置完后成，打开cmd，进入kafka文件目录：cd /dC:\kafka\kafka_2.12-1.1.0\

3.9 输入并执行以打开kafka：.\bin\windows\kafka-server-start.bat .\config\server.properties

注意：不要关了这个窗口

3.10 遇到的问题：启动kafka找不到或无法加载主类

解决方案可参考https://www.cdsy.xyz/computer/system/Windows/240118/cd60543.html

4.常用kafka命令

4.1 运行zkserver

zkserver

4.2 运行kafka

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

4.3 创建topic

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

4.4 创建producer

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

4.5 创建consumer

.\bin\windows\kafka-console-consumer.bat --zookeeper localhost:2181 --topic test

4.6 查看创建的主题列表

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

4.7 查看指定topic信息

bin\windows\kafka-topics.bat --zookeeper 127.0.0.1:2181 --describe --topic test

4.8 删除主题

bin\windows\kafka-topics.bat --zookeeper 127.0.0.1:2181 --delete --topic test

-- 删除topic，慎用，只会删除zookeeper中的元数据，消息文件须手动删除

bin\windows\kafka-topics.bat kafka.admin.DeleteTopicCommand --zookeeper 127.0.0.1:2181 --delete --topic test

4.9 查看topic某分区偏移量最大（小）值

.\bin\windows\kafka-run-class.bat kafka.tools.GetOffsetShell --topic luoluo --time -1 --broker-list localhost:9092 --partitions 0