消息中间件 - 安装(linux)

mac2026-05-27  2

文章目录

RabbitMq安装kafka的安装

RabbitMq安装

# 安装依赖 yum install epel-release yum install erlang wget https://packages.erlang-solutions.com/erlang-solutions-1.0-1.noarch.rpm rpm -Uvh erlang-solutions-1.0-1.noarch.rpm wget http://www.rabbitmq.com/releases/rabbitmq-server/v3.6.6/rabbitmq-server-3.6.6-1.el7.noarch.rpm yum install rabbitmq-server-3.6.6-1.el7.noarch.rpm #常用命令 service rabbitmq-server start service rabbitmq-server status service rabbitmq-server stop ##安装管理控制台 rabbitmq-plugins enable rabbitmq_management #控制台访问地址 http://127.0.0.1:15672 #默认用户密码 guset / guset #注意安装管理控制台后需要重启rabbitmq #开放端口 firewall-cmd --zone=public --add-port=15672/tcp --permanent firewall-cmd --zone=public --add-port=5672/tcp --permanent firewall-cmd --reload #因为默认的guset用户是不允许远程访问的,所以这里创建一个新的用户用以开放远程访问权限 ## 1.查看已有虚拟主机并增加名为enjoyedu的虚拟机 rabbitmqctl list_vhosts rabbitmqctl add_vhost enjoyedu ## 2.在enjoyedu的虚拟机中添加Jaye用户 rabbitmqctl add_user Jaye 123456 rabbitmqctl set_permissions -p enjoyedu Jaye '.*' '.*' '.*' rabbitmqctl set_user_tags Jaye administrator

kafka的安装

因为kafka依赖于zookeeper,所以必须先保证zookeeper安装完成 zookeeper的安装 : https://blog.csdn.net/weixin_39656626/article/details/103146811

下载安装包

wget http://mirrors.tuna.tsinghua.edu.cn/apache/kafka/2.3.0/kafka_2.11-2.3.0.tgz

解压文件

tar -zxvf kafka_2.11-2.3.0.tgz -C /usr/local/

启动kafka

#启动kafka前先要保证zookeeper的正常启动 cd /usr/local/kafka_2.11-2.3.0/ nohup bin/kafka-server-start.sh config/server.properties &

创建主题

# --replication-factor 备份数量 # --partitions 分区数量 # jaye 你的主题名称 cd /usr/local/kafka_2.11-2.3.0/ bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic jaye

生产者与消费者的启动命令

cd /usr/local/kafka_2.11-2.3.0/ #生产者 bin/kafka-console-producer.sh --broker-list localhost:9092 --topic jaye #消费者 bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic jaye --from-beginning

开放端口

firewall-cmd --zone=public --add-port=9092/tcp --permanent firewall-cmd --reload

主要配置文件

# 文件路径 vim /usr/local/kafka_2.11-2.3.0/config/server.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://: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 #如果需要远程访问kafka,需要进行如下配置。否则只能本地访问 advertised.listeners=PLAINTEXT://192.168.227.133:9092 # 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=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
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