本篇文章会介绍使用使用docker-compose
安装带SASL认证的Kafka消息队列。为啥会有这篇文章主要是网上一些文章太折磨人了,都是互抄的而且都是错的。我配合SpringBoot
调试搞了我一天。为啥要搞SASL认证也主要是为了安全考虑。如果不加认证,Kafka
应用就是裸露在外面的,会有安全风险。阅读此文前,需要对docker-compose
有一个基础认知,本文并不属于小白文。
本篇首发于牧码人博客转载请加上此标示。
docker-compose.yml
# 版本根据你的docker版本来的,目前主流应该都是3.几的版本
version: '3.8'
services:
zookeeper:
image: wurstmeister/zookeeper
volumes:
- /data/zookeeper/data:/data
- /home/docker-compose/kafka/config:/opt/zookeeper-3.4.13/conf/
- /home/docker-compose/kafka/config:/opt/zookeeper-3.4.13/secrets/
container_name: zookeeper
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
SERVER_JVMFLAGS: -Djava.security.auth.login.config=/opt/zookeeper-3.4.13/secrets/server_jaas.conf
ports:
- 12181:2181
restart: always
kafka_node1:
image: wurstmeister/kafka
container_name: kafka_node1
depends_on:
- zookeeper
ports:
- 9092:9092
volumes:
- /home/docker-compose/kafka/data:/kafka
- /home/docker-compose/kafka/config:/opt/kafka/secrets/
environment:
KAFKA_BROKER_ID: 0
KAFKA_ADVERTISED_LISTENERS: SASL_PLAINTEXT://127.0.0.1:9092
KAFKA_ADVERTISED_PORT: 9092
KAFKA_LISTENERS: SASL_PLAINTEXT://0.0.0.0:9092
KAFKA_SECURITY_INTER_BROKER_PROTOCOL: SASL_PLAINTEXT
KAFKA_PORT: 9092
KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL: PLAIN
KAFKA_SASL_ENABLED_MECHANISMS: PLAIN
KAFKA_AUTHORIZER_CLASS_NAME: kafka.security.auth.SimpleAclAuthorizer
KAFKA_SUPER_USERS: User:admin
KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "true" #设置为true,ACL机制为黑名单机制,只有黑名单中的用户无法访问,默认为false,ACL机制为白名单机制,只有白名单中的用户可以访问
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
KAFKA_HEAP_OPTS: "-Xmx512M -Xms16M"
KAFKA_OPTS: -Djava.security.auth.login.config=/opt/kafka/secrets/server_jaas.conf
restart: always
## kafdrop 监控kafka的Ui工具
kafdrop:
image: obsidiandynamics/kafdrop
restart: always
ports:
- "19001:9000"
environment:
KAFKA_BROKERCONNECT: "kafka_node1:9092"
## 如kafka开启了sasl认证后以下 sasl认证链接是必要的,下面的事经过base64加密后的结果
KAFKA_PROPERTIES: c2FzbC5tZWNoYW5pc206IFBMQUlOCiAgICAgIHNlY3VyaXR5LnByb3RvY29sOiBTQVNMX1BMQUlOVEVYVAogICAgICBzYXNsLmphYXMuY29uZmlnOiBvcmcuYXBhY2hlLmthZmthLmNvbW1vbi5zZWN1cml0eS5zY3JhbS5TY3JhbUxvZ2luTW9kdWxlIHJlcXVpcmVkIHVzZXJuYW1lPSdhZG1pbicgcGFzc3dvcmQ9J2pkeXgjcXdlMTInOw==
depends_on:
- zookeeper
- kafka_node1
cpus: '1'
mem_limit: 1024m
container_name: kafdrop
restart: always
server_jaas.conf
Client {
org.apache.zookeeper.server.auth.DigestLoginModule required
username="admin"
password="123456";
};
Server {
org.apache.zookeeper.server.auth.DigestLoginModule required
username="admin"
password="123456"
## user_用户名="密码" 这种格式是用来配置账号跟密码的
user_super="123456"
user_admin="123456";
};
KafkaServer {
org.apache.kafka.common.security.plain.PlainLoginModule required
username="admin"
password="123456"
## user_用户名="密码" 这种格式是用来配置账号跟密码的
user_admin="123456";
};
KafkaClient {
org.apache.kafka.common.security.plain.PlainLoginModule required
username="admin"
password="123456";
};
以下三个文件为zookeeper
的配置文件,除zoo.cfg
(核心)文件做了改变,其余都是使用docker cp 命令 从zookeeper容器copy出来的。
zoo.cfg
# 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=/opt/zookeeper-3.4.13/data
# 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
## 开启SASl关键配置
authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider
requireClientAuthScheme=sasl
jaasLoginRenew=3600000
zookeeper.sasl.client=true
configuration.xsl
```
name
value
description
```
log4j.properties
```
# Define some default values that can be overridden by system properties
zookeeper.root.logger=INFO, CONSOLE
zookeeper.console.threshold=INFO
zookeeper.log.dir=.
zookeeper.log.file=zookeeper.log
zookeeper.log.threshold=DEBUG
zookeeper.tracelog.dir=.
zookeeper.tracelog.file=zookeeper_trace.log
#
# ZooKeeper Logging Configuration
#
# Format is " (, )+
# DEFAULT: console appender only
log4j.rootLogger=${zookeeper.root.logger}
# Example with rolling log file
#log4j.rootLogger=DEBUG, CONSOLE, ROLLINGFILE
# Example with rolling log file and tracing
#log4j.rootLogger=TRACE, CONSOLE, ROLLINGFILE, TRACEFILE
#
# Log INFO level and above messages to the console
#
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
log4j.appender.CONSOLE.Threshold=${zookeeper.console.threshold}
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n
#
# Add ROLLINGFILE to rootLogger to get log file output
# Log DEBUG level and above messages to a log file
log4j.appender.ROLLINGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.ROLLINGFILE.Threshold=${zookeeper.log.threshold}
log4j.appender.ROLLINGFILE.File=${zookeeper.log.dir}/${zookeeper.log.file}
# Max log file size of 10MB
log4j.appender.ROLLINGFILE.MaxFileSize=10MB
# uncomment the next line to limit number of backup files
log4j.appender.ROLLINGFILE.MaxBackupIndex=10
log4j.appender.ROLLINGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.ROLLINGFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n
#
# Add TRACEFILE to rootLogger to get log file output
# Log DEBUG level and above messages to a log file
log4j.appender.TRACEFILE=org.apache.log4j.FileAppender
log4j.appender.TRACEFILE.Threshold=TRACE
log4j.appender.TRACEFILE.File=${zookeeper.tracelog.dir}/${zookeeper.tracelog.file}
log4j.appender.TRACEFILE.layout=org.apache.log4j.PatternLayout
### Notice we are including log4j's NDC here (%x)
log4j.appender.TRACEFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L][%x] - %m%n
mkdir /home/docker-compose/kafka
cd /home/docker-compose/kafka
mkdir /home/docker-compose/kafka/config
docker-compose up -d
docker ps 查询进程
所有进程正常启动的话 访问 http://ip:19001/ 能正常显示管理界面就代码安装成功了