Kafka - 版本历史

Woodrow：建立内容为“== 静态 IP 地址 == ip addr vi /etc/sysconfig/network-scripts/ifcfg-ens33
2022-09-02T11:32:36Z

建立内容为“== 静态 IP 地址 == <syntaxhighlight lang="bash"> ip addr </syntaxhighlight> <syntaxhighlight lang="bash"> vi /etc/sysconfig/network-scripts/ifcfg-ens33 </sy…”的新页面

新页面
== 静态 IP 地址 ==

<syntaxhighlight lang="bash">
ip addr
</syntaxhighlight>

<syntaxhighlight lang="bash">
vi /etc/sysconfig/network-scripts/ifcfg-ens33
</syntaxhighlight>

<code>/etc/sysconfig/network-scripts/ifcfg-ens33</code>

<syntaxhighlight lang="properties">
TYPE=Ethernet
PROXY_METHOD=none
BROWSER_ONLY=no
BOOTPROTO=static
DEFROUTE=yes
IPV4_FAILURE_FATAL=no
IPV6INIT=yes
IPV6_AUTOCONF=yes
IPV6_DEFROUTE=yes
IPV6_FAILURE_FATAL=no
IPV6_ADDR_GEN_MODE=stable-privacy
NAME=ens33
UUID=5a91778c-356f-43ce-8133-f98b61745b1d
DEVICE=ens33
ONBOOT=yes
IPADDR=192.168.0.128
NETMASK=255.255.255.0
GATEWAY=192.168.0.2
DNS1=119.29.29.29
</syntaxhighlight>

<syntaxhighlight lang="bash">
systemctl restart network.service
</syntaxhighlight>

<syntaxhighlight lang="bash">
ip addr
</syntaxhighlight>

== Firewall ==

关闭防火墙

<syntaxhighlight lang="bash">
systemctl status firewalld
</syntaxhighlight>

<syntaxhighlight lang="bash">
systemctl stop firewalld
</syntaxhighlight>

<syntaxhighlight lang="bash">
systemctl disable firewalld
</syntaxhighlight>

<syntaxhighlight lang="bash">
systemctl status firewalld
</syntaxhighlight>

== JDK ==

=== 解压安装 ===

<syntaxhighlight lang="bash">
cd ~
</syntaxhighlight>

<syntaxhighlight lang="bash">
mkdir java
</syntaxhighlight>

<syntaxhighlight lang="bash">
cd java
</syntaxhighlight>

<syntaxhighlight lang="bash">
tar zxvf jdk-8u341-linux-x64.tar.gz
</syntaxhighlight>

=== 设置 PATH ===

<syntaxhighlight lang="bash">
cd jdk1.8.0_341
</syntaxhighlight>

<syntaxhighlight lang="bash">
pwd
</syntaxhighlight>

<pre class="">
/root/java/jdk1.8.0_341
</pre>

<syntaxhighlight lang="bash">
vim /etc/profile
</syntaxhighlight>

<code>/etc/profile</code>

<pre class="">
export JAVA_HOME=/root/java/jdk1.8.0_341
export PATH=$PATH:$JAVA_HOME/bin
</pre>

<syntaxhighlight lang="bash">
source /etc/profile
</syntaxhighlight>

=== 验证 ===

<syntaxhighlight lang="bash">
java -version
</syntaxhighlight>

<syntaxhighlight lang="bash">
javac -version
</syntaxhighlight>

== ZooKeeper 集群 ==

=== 解压安装 ===

<syntaxhighlight lang="bash">
cd ~
</syntaxhighlight>

<syntaxhighlight lang="bash">
mkdir zookeeper
</syntaxhighlight>

<syntaxhighlight lang="bash">
cd zookeeper
</syntaxhighlight>

<syntaxhighlight lang="bash">
tar zxvf zookeeper-3.4.12.tar.gz
</syntaxhighlight>

=== 设置 PATH ===

<syntaxhighlight lang="bash">
cd zookeeper-3.4.12
</syntaxhighlight>

<syntaxhighlight lang="bash">
pwd
</syntaxhighlight>

<pre class="">
/root/zookeeper/zookeeper-3.4.12
</pre>

<syntaxhighlight lang="bash">
vim /etc/profile
</syntaxhighlight>

<code>/etc/profile</code>

<pre class="">
export ZOOKEEPER_HOME=/root/zookeeper/zookeeper-3.4.12
export PATH=$PATH:$ZOOKEEPER_HOME/bin
</pre>

<syntaxhighlight lang="bash">
source /etc/profile
</syntaxhighlight>

=== 修改 ZooKeeper 配置 ===

<syntaxhighlight lang="bash">
cd conf
</syntaxhighlight>

<syntaxhighlight lang="bash">
cp zoo_sample.cfg zoo.cfg
</syntaxhighlight>

<syntaxhighlight lang="bash">
vim zoo.cfg
</syntaxhighlight>

zoo.cfg

<syntaxhighlight lang="properties">
# 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=/tmp/zookeeper
# 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

# ZooKeeper服务器心跳时间，单位为ms
tickTime=2000
# 允许follower连接并同步到leader的初始化连接时间，以tickTime的倍数来表示
initLimit=10
# leader与follower心跳检测最大容忍时间，响应超过syncLimittickTime，leader认为
# follower“死掉”，从服务器列表中删除follower
syncLimit=5
# 数据目录
dataDir=/tmp/zookeeper/data
# 日志目录
dataLogDir=/tmp/zookeeper/log
# ZooKeeper对外服务端口
clientPort=2181

server.0=192.168.0.128:2888:3888
server.1=192.168.0.129:2888:3888
server.2=192.168.0.130:2888:3888
</syntaxhighlight>

<syntaxhighlight lang="bash">
mkdir -p /tmp/zookeeper/data
mkdir -p /tmp/zookeeper/log
</syntaxhighlight>

<syntaxhighlight lang="bash">
cd /tmp/zookeeper/data
</syntaxhighlight>

<syntaxhighlight lang="bash">
vim myid
</syntaxhighlight>

myid：服务器的编号

<pre class="">
0
</pre>

=== 启动 ZooKeeper 服务 ===

<syntaxhighlight lang="bash">
zkServer.sh start
</syntaxhighlight>

<syntaxhighlight lang="bash">
zkServer.sh status
</syntaxhighlight>

=== 停止 ZooKeeper 服务 ===

<syntaxhighlight lang="bash">
zkServer.sh stop
</syntaxhighlight>

== Kafka 集群 ==

=== 解压安装 ===

<syntaxhighlight lang="bash">
cd ~
</syntaxhighlight>

<syntaxhighlight lang="bash">
mkdir kafka
</syntaxhighlight>

<syntaxhighlight lang="bash">
cd kafka
</syntaxhighlight>

<syntaxhighlight lang="bash">
tar zxvf kafka_2.11-2.0.0.tgz
</syntaxhighlight>

=== 设置 PATH ===

<syntaxhighlight lang="bash">
cd kafka_2.11-2.0.0
</syntaxhighlight>

<syntaxhighlight lang="bash">
pwd
</syntaxhighlight>

<pre class="">
/root/kafka/kafka_2.11-2.0.0
</pre>

<syntaxhighlight lang="bash">
vim /etc/profile
</syntaxhighlight>

<code>/etc/profile</code>

<pre class="">
export KAFKA_HOME=/root/kafka/kafka_2.11-2.0.0
export PATH=$PATH:$KAFKA_HOME/bin
</pre>

<syntaxhighlight lang="bash">
source /etc/profile
</syntaxhighlight>

=== 修改 Kafka 配置 ===

<syntaxhighlight lang="bash">
cd config
</syntaxhighlight>

<syntaxhighlight lang="bash">
vim server.properties
</syntaxhighlight>

server.properties

<syntaxhighlight lang="properties">
# 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://192.168.0.128:9092

# 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=/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=192.168.0.128:2181,192.168.0.129:2181,192.168.0.130:2181/kafka

# 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
</syntaxhighlight>

=== 启动 Kafka 服务 ===

<syntaxhighlight lang="bash">
cd /root/kafka/kafka_2.11-2.0.0
</syntaxhighlight>

* 前台方式启动 Kafka broker 进程

<syntaxhighlight lang="bash">
bin/kafka-server-start.sh config/server.properties
</syntaxhighlight>

* 后台方式启动 Kafka broker 进程

<syntaxhighlight lang="bash">
bin/kafka-server-start.sh -daemon config/server.properties
</syntaxhighlight>

jps 命令查看 Kafka 服务进程是否已经启动

<syntaxhighlight lang="bash">
jps -l
</syntaxhighlight>

=== 验证部署 ===

==== 测试 topic 创建与删除 ====

创建主题

<syntaxhighlight lang="bash">
bin/kafka-topics.sh --zookeeper 192.168.0.130:2181/kafka --create --topic topic-demo --partitions 3 --replication-factor 3
</syntaxhighlight>

列出所有可用的主题

<syntaxhighlight lang="bash">
bin/kafka-topics.sh --zookeeper 192.168.0.130:2181/kafka --list
</syntaxhighlight>

查看主题的详细信息

<syntaxhighlight lang="bash">
bin/kafka-topics.sh --zookeeper 192.168.0.130:2181/kafka --describe --topic topic-demo
</syntaxhighlight>

删除主题

<syntaxhighlight lang="bash">
bin/kafka-topics.sh --zookeeper 192.168.0.130:2181/kafka --delete --topic topic-demo
</syntaxhighlight>

==== 测试消息发送与消费 ====

使用 kafka-console-consumer.sh 脚本订阅主题 topic-demo

<syntaxhighlight lang="bash">
bin/kafka-console-consumer.sh --bootstrap-server 192.168.0.130:9092 --topic topic-demo
</syntaxhighlight>

kafka-console-producer 发送消息

使用 kafka-console-producer.sh 脚本发送一条消息「Hello, Kafka!」至主题 topic-demo

<syntaxhighlight lang="bash">
bin/kafka-console-producer.sh --broker-list 192.168.0.130:9092 --topic topic-demo
>Hello, Kafka!
>
</syntaxhighlight>

kafka-console-consumer 接收消息

<syntaxhighlight lang="bash">
bin/kafka-console-consumer.sh --bootstrap-server 192.168.0.130:9092 --topic topic-demo
Hello, Kafka!
</syntaxhighlight>

=== 停止 Kafka 服务 ===

* 前台方式启动 Kafka broker 进程时

<code>Ctrl + C</code>

* 后台方式启动 Kafka broker 进程时

优雅关闭

<syntaxhighlight lang="bash">
bin/kafka-server-stop.sh
</syntaxhighlight>