搜索[一键部署]结果-低调大师优秀个人博客

精选列表

搜索[一键部署]，共10000篇文章

IntelliJ IDEA解决Tomcat部署项目NoClassDefFoundError报错

https://blog.csdn.net/asing1elife/article/details/82811796 使用Tomcat部署Web项目时，项目所需要的jar包都会被复制到对应的lib目录下

2018-09-21

HyperLedger Fabric 1.2 kafka生产环境部署（11.1）

11.3 Kafka运行配置 Kafka生产环境部署案例采用三个排序（orderer）服务、四个kafka、三个zookeeper和四个节点（peer）组成，共准备八台服务器，每台服务器对应的服务如下表所示

2018-09-07

在阿里云kubernetes上部署Jenkins Master

本文将通过容器+分布式存储的方式来构建容易维护的Jenkins集群，但是受制于Jenkins的实现机制，一个集群只能部署一个master实例，有Kubernetes的自动恢复容器的机制来保证高可用，后续再介绍如何使用容器的方式运行多个

2018-08-02

Ubuntu系统上All-in-one部署OpenStack

=True SCREEN_LOGDIR=/opt/stack/logs # Work offline #OFFLINE=True # Reclone each time RECLONE=no 9、开始部署

2018-07-27

RabbitMQ系列（五）使用Docker部署RabbitMQ集群

使用Docker部署RabbitMQ集群 RabbitMQ系列文章 RabbitMQ在Ubuntu上的环境搭建深入了解RabbitMQ工作原理及简单使用 RabbitMQ交换器Exchange介绍与实践

2018-07-23

基于dockerfile创建镜像部署WordPress博客系统

部署环境：系统环境：CentOS 7.3内核版本：3.10.0-514.26.2.el7.x86_64Docker服务端版本：1.13.1基础镜像：centos/latest整体架构： 1、Dockerfile

2018-07-23

Redis的安装及创建节点、部署群集

Redis 在3.0版本前只支持单实例模式，虽然支持主从模式、哨兵模式部署来解决单点故障，但是现在互联网企业动辄大几百G的数据，可完全是没法满足业务的需求，所以，Redis 在 3.0 版本以后就推出了集群模式

2018-07-22

部署云计算的五大策略

月24日晚8点观看《智能导购对话机器人实践》云计算将变革企业IT的方式，也将改变人们的思维方式，其前景很乐观，许多企业正在尝试向云计算迁移，但是可能会面临一些困难，如何更好更充分地利用云计算，这里有部署云计算的五大策略

2018-07-10

Websphere安装配置与项目部署

企业应用程序，选中你上传的war包，点击启动即可发布 6、shell地址：http://192.168.204.148:9080/hello/JspSpy.jsp 参考链接： Websphere上如何部署

2018-07-02

使用springboot的童鞋们，有没曾经想把项目打包成 bin/conf/libs/logs 等这样的结构然后直接运行的，但是找了很多办法都不够完美（因为G是个完美主义）好了直接来看解决方案： 1、修改执行打包的子工程的pom.xml文件（加入两个插件）： <build> <finalName>app</finalName> <resources> <resource> <directory>src/main/resources</directory> <filtering>true</filtering> <excludes> <exclude>script/**</exclude> </excludes> </resource> </resources> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>2.1</version> <configuration> <source>${java.version}</source> <target>${java.version}</target> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-jar-plugin</artifactId> <version>2.6</version> <configuration> <source>${java.version}</source> <target>${java.version}</target> <skip>true</skip> <archive> <manifest> <mainClass>com.xxx.bbb.MyMainClass</mainClass> <addClasspath>true</addClasspath> </manifest> <manifestEntries> <Class-Path>./</Class-Path> <Built-By>Wangl.sir</Built-By> <Built-Mail-By>983708408@qq.com</Built-Mail-By> <Bundle-Name>Project Description</Bundle-Name> <Implementation-Vendor></Implementation-Vendor> <Implementation-URL>http://www.xxx.com/wiki</Implementation-URL> </manifestEntries> </archive> </configuration> </plugin> <plugin> <artifactId>maven-assembly-plugin</artifactId> <configuration> <finalName>app-${project.version}-bin</finalName>  <appendAssemblyId>false</appendAssemblyId> <descriptors> <descriptor>src/main/assemble/package.xml</descriptor> </descriptors> </configuration> <executions> <execution> <id>make-assembly</id> <phase>package</phase> <goals> <goal>single</goal> </goals> </execution> </executions> </plugin> </plugins> </build> 2、新增assemble配置文件（保存至src/main/assemble/package.xml）： <assembly xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/assembly-1.0.0.xsd"> <id>jar-with-dependencies</id> <formats> <format>zip</format> </formats> <includeBaseDirectory>true</includeBaseDirectory> <fileSets> <fileSet>  <directory>src/main/resources/script</directory> <outputDirectory>bin</outputDirectory> <includes> <include>*.*</include> </includes> </fileSet> <fileSet> <directory>src/main/resources</directory> <outputDirectory>conf</outputDirectory> <includes> <include>*.*</include> </includes> </fileSet> <fileSet> <directory>target</directory> <outputDirectory>libs</outputDirectory> <includes> <include>*.jar</include> </includes> </fileSet> <fileSet> <directory>src/main/resources</directory> <outputDirectory>logs</outputDirectory> <excludes> <exclude>*.*</exclude> <exclude>script/**</exclude> </excludes> </fileSet> </fileSets> <dependencySets> <dependencySet> <outputDirectory>libs</outputDirectory> <scope>runtime</scope> <excludes> <exclude>${groupId}:${artifactId}</exclude> </excludes> </dependencySet> </dependencySets> </assembly> 3、最后就只需执行 mvn clean install -DskipTests 等待maven执行完成，在target目录下会出现app-{project.version}-bin.zip

2018-06-28

idea配置SpringBoot热部署之自动Build

一、pom.xml文件导入所需依赖文件 SpringBoot热部署插件 <dependency> <groupId>org.springframework.boot</groupId

2018-06-13

Tomcat学习笔记----本地部署servlet动态资源

进入正题：第一步：创建一个servlet 为了了解Tomcat部署的流程，我是照着例子手动敲了一个servlet例子。

2018-06-06

从内部部署到云存储的演变

面向企业的混合云NAS 规模较大的企业能够通过继续依赖内部部署的存储解决方案或两种方法的结合(云计算规模和内部部署)的最佳模式来缓解性能问题。这种混合云模式在很多企业中继续获得应用。

2018-06-03

以容器部署Ganglia并监控Hadoop集群

欢迎访问我的博客 https://blog.csdn.net/smooth00/article/details/80495604 网上有很多Ganglia部署的教程，每一个我都觉得繁琐，我的目的只是用来监控

2018-05-28

Linux下RAID磁盘阵列部署详解

磁盘阵列 RAID RAID：廉价磁盘冗余阵列（Redundant Array of Independent Disks）作用：容错、提升读写速率 RAID类型个数利用率优缺点－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－ RAID0 条带集 2＋ 100% 读写速率最快，不容错 RAID1 镜像集 2 50% 读写速率一般，容错 RAID5 带奇偶校验条带集 3＋ (n-1）/n 读写速率快，容错，允许坏一块 RAID6 带奇偶校验条带集双校验dp 4＋ (n-2）/n 读写快，容错，允许坏两块 RAID01 RAID10 RAID1的安全＋RAID0的高速 4 50% 读写速率快，容错 RAID50 RAID5的安全＋RAID0的高速 6 (n-2）/n 读写速率快，容错 RAID60 RAID6的安全＋RAID0的高速 8 (n-4）/n 读写速率快，容错－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－一、不同场景RAID的使用 RAID 实现方式硬RAID：需要RAID卡，有自己的CPU，处理速度快，有电池和无电池软RAID：通过操作系统实现，比如Windows、Linux 二、RAID5 (3块硬盘) + 热备(1块硬盘) 1. 准备4块硬盘 [root@maiya ~]# ll /dev/sd* brw-rw---- 1 root disk 8, 48 Jan 13 16:07 /dev/sdd brw-rw---- 1 root disk 8, 64 Jan 13 16:07 /dev/sde brw-rw---- 1 root disk 8, 80 Jan 13 16:07 /dev/sdf brw-rw---- 1 root disk 8, 80 Jan 13 16:07 /dev/sdg 2. 创建RAID [root@maiya ~]# yum -y install mdadm //确保mdadm命令可用 [root@maiya ~]# mdadm -C /dev/md0 -l5 -n3 -x1 /dev/sd{d,e,f,g} mdadm: array /dev/md0 started. -C 创建RAID /dev/md0 第一个RAID设备 -l5 RAID5 -n RAID成员的数量 -x 热备磁盘的数量 3. 格式化，挂载 [root@maiya ~]# mkfs.xfs /dev/md0 [root@maiya ~]# mkdir /mnt/raid5 [root@maiya ~]# mount /dev/md0 /mnt/raid5 [root@maiya ~]# cp -rf /etc /mnt/raid5/etc1 4. 查看RAID信息 [root@maiya ~]# mdadm -D /dev/md0 //-D 查看详细信息 /dev/md0: Version : 1.2 Creation Time : Mon Jan 13 16:28:47 2014 Raid Level : raid5 Array Size : 2095104 (2046.34 MiB 2145.39 MB) Used Dev Size : 1047552 (1023.17 MiB 1072.69 MB) Raid Devices : 3 Total Devices : 4 Persistence : Superblock is persistent Update Time : Mon Jan 13 16:34:51 2014 State : clean Active Devices : 3 Working Devices : 4 Failed Devices : 0 Spare Devices : 1 Layout : left-symmetric Chunk Size : 512K Number Major Minor RaidDevice State 0 8 48 0 active sync /dev/sdd 1 8 64 1 active sync /dev/sde 4 8 80 2 active sync /dev/sdf 3 8 96 - spare /dev/sdg 5. 模拟一块硬盘损坏，并移除终端一： [root@maiya ~]# watch -n 0.5 'mdadm -D /dev/md0 | tail' //watch持续查看终端二： [root@maiya ~]# mdadm /dev/md0 -f /dev/sde -r /dev/sde //模拟坏了并移除 -f --fail -r --remove 6. 设置RAID开机生效 [root@maiya ~]# mdadm -D -s ARRAY /dev/md0 metadata=1.2 name=sxl1.com:0 UUID=c6761621:8878498f:f5be209e [root@maiya ~]# mdadm -D -s > /etc/mdadm.conf mdadm选项： -s --scan -S --stop -D --detail -C --create -f --fail -r --remove -n --raid-devices=3 -x --spare-devices=1 -l --level=5 参考： Update Time : Mon Aug 4 22:47:47 2014 State : clean, degraded, recovering Active Devices : 2 Working Devices : 3 Failed Devices : 0 Spare Devices : 1 Layout : left-symmetric Chunk Size : 512K Rebuild Status : 3% complete Name : localhost.localdomain:0 (local to host localhost.localdomain) UUID : 3df9624c:138a5b3e:2f557132:59a43d04 Events : 41 Number Major Minor RaidDevice State 0 252 16 0 active sync /dev/vdb 3 252 64 1 spare rebuilding /dev/vde 4 252 48 2 active sync /dev/vdd

2018-05-02

CentOS 6.8 下安装部署flask应用记录

以便新环境部署。在虚拟环境中使用pip生成： (venv) $ pip freeze >requirements.txt 安装或升级包后，最好更新这个文件。

2018-04-25

（二）Hyperledger Fabric 1.1安装部署-Fabric Samples

Hyperledger Fabric Samples是官方推荐的First Network，对于熟悉fabric和测试基础环境很有好处。 Fabric Samples源码下载：使用git下载源码，进入到go安装目录（可以使用命令echo $GOPATH查看go安装目录）。 git clone -b master https://github.com/hyperledger/fabric-samples.git 下载完成后进入到fabric-samples目录 cd fabric-samples 使用git tag命令查看版本列表，根据个人需要将源码切换到对应的版本，本次使用的是1.1版。 git checkout -b v1.1.0 下载二进制文件：二进制文件官方给出两种方式 curl -sSL https://goo.gl/6wtTN5 | bash -s 1.1.0（这个方式需要FQ）或者直接访问下面的网址，访问二进制文件 https://github.com/hyperledger/fabric/blob/master/scripts/bootstrap.sh 也可以新建bootstrap.sh文件，拷贝下面的脚本并执行。 #!/bin/bash # # Copyright IBM Corp. All Rights Reserved. # # SPDX-License-Identifier: Apache-2.0 # # if version not passed in, default to latest released version export VERSION=${1:-1.1.0} # if ca version not passed in, default to latest released version export CA_VERSION=${2:-$VERSION} # current version of thirdparty images (couchdb, kafka and zookeeper) released export THIRDPARTY_IMAGE_VERSION=0.4.6 export ARCH=$(echo "$(uname -s|tr '[:upper:]' '[:lower:]'|sed 's/mingw64_nt.*/windows/')-$(uname -m | sed 's/x86_64/amd64/g')" | awk '{print tolower($0)}') #Set MARCH variable i.e ppc64le,s390x,x86_64,i386 MARCH=`uname -m` dockerFabricPull() { local FABRIC_TAG=$1 for IMAGES in peer orderer ccenv javaenv tools; do echo "==> FABRIC IMAGE: $IMAGES" echo docker pull hyperledger/fabric-$IMAGES:$FABRIC_TAG docker tag hyperledger/fabric-$IMAGES:$FABRIC_TAG hyperledger/fabric-$IMAGES done } dockerThirdPartyImagesPull() { local THIRDPARTY_TAG=$1 for IMAGES in couchdb kafka zookeeper; do echo "==> THIRDPARTY DOCKER IMAGE: $IMAGES" echo docker pull hyperledger/fabric-$IMAGES:$THIRDPARTY_TAG docker tag hyperledger/fabric-$IMAGES:$THIRDPARTY_TAG hyperledger/fabric-$IMAGES done } dockerCaPull() { local CA_TAG=$1 echo "==> FABRIC CA IMAGE" echo docker pull hyperledger/fabric-ca:$CA_TAG docker tag hyperledger/fabric-ca:$CA_TAG hyperledger/fabric-ca } : ${CA_TAG:="$MARCH-$CA_VERSION"} : ${FABRIC_TAG:="$MARCH-$VERSION"} : ${THIRDPARTY_TAG:="$MARCH-$THIRDPARTY_IMAGE_VERSION"} echo "===> Downloading platform specific fabric binaries" curl https://nexus.hyperledger.org/content/repositories/releases/org/hyperledger/fabric/hyperledger-fabric/${ARCH}-${VERSION}/hyperledger-fabric-${ARCH}-${VERSION}.tar.gz | tar xz echo "===> Downloading platform specific fabric-ca-client binary" curl https://nexus.hyperledger.org/content/repositories/releases/org/hyperledger/fabric-ca/hyperledger-fabric-ca/${ARCH}-${VERSION}/hyperledger-fabric-ca-${ARCH}-${VERSION}.tar.gz | tar xz if [ $? != 0 ]; then echo echo "------> $VERSION fabric-ca-client binary is not available to download (Avaialble from 1.1.0-rc1) <----" echo fi which docker >& /dev/null NODOCKER=$? if [ "${NODOCKER}" == 0 ]; then echo "===> Pulling fabric Images" dockerFabricPull ${FABRIC_TAG} echo "===> Pulling fabric ca Image" dockerCaPull ${CA_TAG} echo "===> Pulling thirdparty docker images" dockerThirdPartyImagesPull ${THIRDPARTY_TAG} echo echo "===> List out hyperledger docker images" docker images | grep hyperledger* else echo "=========================================================" echo "Docker not installed, bypassing download of Fabric images" echo "=========================================================" fi 这个脚本将下载网络所需的特定二进制文件和镜像。执行成功后会生成bin和config。 bin文件： config文件：拉取的镜像：可以通过docker images命令查看上述工作完成以后就可以进行Fabric Samples测试了。

2018-04-11

Kubernetes Ingress Controller 高可靠部署最佳实践

作为集群流量接入层，Ingress Controller的高可用性显得尤为重要，今天我们主要探讨如何部署一套高性能高可靠的Ingress Controller接入层。

2018-04-02

kylin_学习_01_kylin安装部署

一、环境准备根据官方文档，kylin是需要运行在hadoop环境下的，如下图： 1.hadoop环境搭建参考：hadoop_学习_02_Hadoop环境搭建(单机) 2.hbase环境搭建参考：hbase_学习_01_HBase环境搭建(单机) 3.hive环境搭建参考：hive_学习_01_hive环境搭建(单机) 二、kylin下载与解压 1.下载地址前往官方http://kylin.apache.org/download 可发现提供了一个镜像下载地址，如下： http://mirrors.shu.edu.cn/apache/kylin/apache-kylin-2.3.0/apache-kylin-2.3.0-hbase1x-bin.tar.gz 2.下载使用命令进行下载 wget http://mirrors.shu.edu.cn/apache/kylin/apache-kylin-2.3.0/apache-kylin-2.3.0-hbase1x-bin.tar.gz 或者先在本地下载，然后上传服务器 3.解压 tar -zxvf apache-kylin-2.3.0-hbase1x-bin.tar.gz 三、kylin配置 1.配置环境变量（1）编辑 profile 文件 vim /etc/profile （2）设置 KYLIN_HOME ，并将其添加到path中。并修改CATALINA_HOME 为 kylin 下的 tomcat # 1. java export JAVA_HOME=/usr/java/jdk1.7.0_80 export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar # 2. Tomcat #export CATALINA_HOME=/developer/apache-tomcat-7.0.73 #export CATALINA_HOME=/developer/saiku-server/tomcat export CATALINA_HOME=/developer/apache-kylin-2.3.0-bin/tomcat # 3. Maven export MAVEN_HOME=/developer/apache-maven-3.0.5 # 4. hadoop export HADOOP_HOME=/developer/hadoop-2.6.0 # 5. hbase export HBASE_HOME=/developer/hbase-1.2.0 # 6. hive export HIVE_HOME=/developer/apache-hive-1.1.0-bin export HIVE_CONF_DIR=${HIVE_HOME}/conf export HCAT_HOME=$HIVE_HOME/hcatalog # 7. kylin export KYLIN_HOME=/developer/apache-kylin-2.3.0-bin export hive_dependency=$HIVE_HOME/conf:$HIVE_HOME/lib/*:$HCAT_HOME/share/hcatalog/hive-hcatalog-core-1.1.0.jar #Path # 1. big data export PATH=$KYLIN_HOME/bin:$PATH export PATH=$HIVE_HOME/bin:$HBASE_HOME/bin:$HADOOP_HOME/bin:$PATH export PATH=$MAVEN_HOME/bin:$CATALINA_HOME/bin:$JAVA_HOME/bin:$PATH export LC_ALL=en_US.UTF-8 2.配置kylin.sh 在文件开始的地方，添加如下配置： export KYLIN_HOME=/developer/apache-kylin-2.3.0-bin export HBASE_CLASSPATH_PREFIX=$CATALINA_HOME/bin/bootstrap.jar:$CATALINA_HOME/bin/tomcat-juli.jar:$CATALINA_HOME/lib/*:$hive_dependency:$HBASE_CLASSPATH_PREFIX 四、启动kylin 1.确保 hadoop、hbase已经启动（1）启动hadoop 进入hadoop 的 sbin 目录，执行 ./start-all.sh (2) 启动 hbase 进入hbase的 bin 目录，执行 ./start-hbase.sh 2.启动 kylin 进入 kylin 的 bin 目录，执行 ./kylin.sh start 即可启动kylin 3.访问kylin管理界面启动kylin之后，浏览器访问：http://your_hostname:7070/kylin。输入用户名 ADMIN 、密码 KYLIN ，即可登录例如： 192.168.1.102:7070/kylin 五、配置hive数据源 1.配置数据源（1）依次选择 Model -> Data Source -> Load Hive Table （2）输入 hive 中数据库的表名格式为：数据库名.数据表名如：db_hiveTest.student ，然后点击Sync即可。添加成功后，效果如下图：五、参考资料 1.官方安装向导： Installation Guide（http://kylin.apache.org/cn/docs23/install/index.html） 2.HDP下载地址： https://zh.hortonworks.com/downloads/

2018-03-19

Redis 集群部署及踩过的坑

本文目标要在单台机器上搭建Redis集群，方式是通过不同的TCP端口启动多个实例，然后组成集群，同时记录在搭建过程中踩过的坑。安装准备 centos版本：6.7 redis版本：3.2.3 安装方式：源码安装服务器：1台操作步骤此处默认已安装好单台redis 1、启动Redis多个实例我们在Redis安装目录下创建目录cluster，并编写7000.conf~7005.conf 6个配置文件，这6个配置文件用来启动6个实例，后面将使用这6个实例组成集群。以7000.conf为例，配置文件需要填写如下几项： port7000//端口7000,7001,7002,7003,7004,7005 bind192.168.186.91//默认ip为127.0.0.1 需要改为其他节点机器可访问的ip 否则创建集群时无法访问对应的端口，无法创建集群 daemonizeyes//redis后台运行 pidfile./redis_7000.pid//pidfile文件对应7000,7001,7002,7003,7004,7005 cluster-enabledyes//开启集群把注释#去掉 cluster-config-filenodes_7000.conf//集群的配置配置文件首次启动自动生成 7000,7001,7002,7003,7004,7005 cluster-node-timeout15000//请求超时默认15秒，可自行设置 appendonlyyes//aof日志开启有需要就开启，它会每次写操作都记录一条日志分别启动6个实例 redis-serverredis_cluster/7000/redis.conf redis-serverredis_cluster/7001/redis.conf redis-serverredis_cluster/7002/redis.conf redis-serverredis_cluster/7003/redis.conf redis-serverredis_cluster/7004/redis.conf redis-serverredis_cluster/7005/redis.conf 启动成功后，看一下进程 # ps -ef | grep redis | grep cluster idata1571122329018:40pts/1000:00:00./bin/redis-server192.168.186.91:7000[cluster] idata1574022329018:40pts/1000:00:00./bin/redis-server192.168.186.91:7001[cluster] idata1581022329018:40pts/1000:00:00./bin/redis-server192.168.186.91:7002[cluster] idata1702322329018:42pts/1000:00:00./bin/redis-server192.168.186.91:7003[cluster] idata1703022329018:42pts/1000:00:00./bin/redis-server192.168.186.91:7004[cluster] idata1703522329018:42pts/1000:00:00./bin/redis-server192.168.186.91:7005[cluster] 至此，ip=192.168.186.91机器上创建了6个实例，端口号为port=7000~7005。 2、安装ruby 1）yum安装ruby和依赖的包。 [root@itfirstredis_cluster]# yum -y install ruby ruby-devel rubygems rpm-build 2）使用gem这个命令来安装redis接口 [root@itfirstredis_cluster]# gem install redis ERROR:Error installingredis: redis requires Rubyversion>=2.2.2. 这一步骤中出现了bug,度娘告诉我是Ruby版本太低，需要升级版本。 3）升级Ruby的版本安装rvm，我不知道这是个什么东西，但是感觉像是Ruby的一个包管理器。 [root@itfirstredis_cluster]# curl -L get.rvm.io | bash -s stable %Total%Received%XferdAverage Speed TimeTime TimeCurrent DloadUpload Total SpentLeftSpeed 1002409010024090001091900:00:020:00:02--:--:--91242 Downloadinghttps://github.com/rvm/rvm/archive/1.29.3.tar.gz Downloadinghttps://github.com/rvm/rvm/releases/download/1.29.3/1.29.3.tar.gz.asc gpg:于2017年09月11日星期一04时59分21秒CST创建的签名，使用RSA，钥匙号BF04FF17 gpg:无法检查签名：Nopublickey Warning,RVM1.26.0introducessignedreleasesandautomated check of signatures when GPG softwarefound.Assuming you trust Michal Papis import the mpapispublickey(downloading thesignatures). GPG signature verification failedfor'/usr/local/rvm/archives/rvm-1.29.3.tgz'-'https://github.com/rvm/rvm/releases/download/1.29.3/1.29.3.tar.gz.asc'!Trytoinstall GPG v2andthenfetch thepublickey: gpg2--recv-keys409B6B1796C275462A1703113804BB82D39DC0E3 orifitfails: commandcurl-sSLhttps://rvm.io/mpapis.asc | gpg2 --import - the key can be comparedwith: https://rvm.io/mpapis.asc https://keybase.io/mpapis NOTE:GPGversion2.1.17haveabug which cause failures during fetching keys from remoteserver.Please downgradeorupgradetonewer version(ifavailable)orusethe second method describedabove. 这一操作得到了： gpg2 –recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3 然后利用该密钥下载Ruby并升级。 [root@itfirstredis_cluster]# gpg --keyserver hkp://keys.gnupg.net --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3 gpg:下载密钥‘D39DC0E3’，从hkp服务器keys.gnupg.net gpg: /root/.gnupg/trustdb.gpg：建立了信任度数据库 gpg:密钥D39DC0E3：公钥“Michal Papis(RVMsigning)<mpapis@gmail.com>”已导入 gpg:没有找到任何绝对信任的密钥 gpg:合计被处理的数量：1 gpg:已导入：1(RSA:1) [root@itfirstredis_cluster]# curl -sSL https://get.rvm.io | bash -s stable Downloadinghttps://github.com/rvm/rvm/archive/1.29.3.tar.gz Downloadinghttps://github.com/rvm/rvm/releases/download/1.29.3/1.29.3.tar.gz.asc gpg:于2017年09月11日星期一04时59分21秒CST创建的签名，使用RSA，钥匙号BF04FF17 gpg:完好的签名，来自于“Michal Papis(RVMsigning)<mpapis@gmail.com>” gpg:亦即“MichalPapis<mpapis@gmail.com>” gpg:亦即“[jpeg image ofsize5015]” gpg:警告：这把密钥未经受信任的签名认证！ gpg:没有证据表明这个签名属于它所声称的持有者。主钥指纹：409B6B1796C275462A1703113804BB82 D39DC0E3 子钥指纹：62C9E5F4DA300D94AC36166BE206 C29F BF04 FF17 GPGverified'/usr/local/rvm/archives/rvm-1.29.3.tgz' Creatinggroup'rvm' Installing RVMto/usr/local/rvm/ Installation of RVMin/usr/local/rvm/isalmostcomplete: *First you needtoadd all users that will be using rvmto'rvm'group, andlogout-loginagain,anyone using rvm will be operatingwith`umasku=rwx,g=rwx,o=rx`. *Tostart using RVM you needtorun`source/etc/profile.d/rvm.sh` inall your open shellwindows,inrare cases you needtoreopen all shellwindows. 接着，source环境，让rvm可用。 [root@itfirst ~]# source /usr/local/rvm/scripts/rvm 查看Ruby可用版本 [root@itfirst~]# rvm list known # MRI Rubies [ruby-]1.8.6[-p420] [ruby-]1.8.7[-head]# security released on head [ruby-]1.9.1[-p431] [ruby-]1.9.2[-p330] [ruby-]1.9.3[-p551] [ruby-]2.0.0[-p648] [ruby-]2.1[.10] [ruby-]2.2[.7] [ruby-]2.3[.4] [ruby-]2.4[.1] ruby-head # for forks use: rvm install ruby-head-<name> --url https://github.com/github/ruby.git --branch 2.2 # JRuby jruby-1.6[.8] jruby-1.7[.27] jruby[-9.1.13.0] jruby-head # Rubinius rbx-1[.4.3] rbx-2.3[.0] rbx-2.4[.1] rbx-2[.5.8] rbx-3[.84] rbx-head # Opal opal # Minimalistic ruby implementation - ISO 30170:2012 mruby-1.0.0 mruby-1.1.0 mruby-1.2.0 mruby-1[.3.0] mruby[-head] # Ruby Enterprise Edition ree-1.8.6 ree[-1.8.7][-2012.02] # Topaz topaz # MagLev maglev[-head] maglev-1.0.0 # Mac OS X Snow Leopard Or Newer macruby-0.10 macruby-0.11 macruby[-0.12] macruby-nightly macruby-head # IronRuby ironruby[-1.1.3] ironruby-head 可以看到最新的版本是2.4.1，本文安装2.3.0 至此，我们升级了Ruby的版本。 [root@itfirst~]# rvm install 2.3.0 Searchingforbinaryrubies,thismight take sometime. Found remote filehttps://rvm_io.global.ssl.fastly.net/binaries/centos/6/x86_64/ruby-2.3.0.tar.bz2 Checking requirementsforcentos. Installing requirementsforcentos. Installing requiredpackages:autoconf,automake,bison,libffi-devel,libtool,readline-devel,sqlite-devel,libyaml-devel.......... Requirements installationsuccessful. ruby-2.3.0-#configure ruby-2.3.0-#download %Total%Received%XferdAverage Speed TimeTime TimeCurrent DloadUpload Total SpentLeftSpeed 10021.9M10021.9M00266k00:01:240:01:24--:--:--278k No checksumfordownloadedarchive,recording checksuminuserconfiguration. ruby-2.3.0-#validate archive ruby-2.3.0-#extract ruby-2.3.0-#validate binary ruby-2.3.0-#setup ruby-2.3.0-#gemset created /usr/local/rvm/gems/ruby-2.3.0@global ruby-2.3.0-#importing gemset /usr/local/rvm/gemsets/global.gems.............................. ruby-2.3.0-#generating global wrappers........ ruby-2.3.0-#gemset created /usr/local/rvm/gems/ruby-2.3.0 ruby-2.3.0-#importing gemsetfile /usr/local/rvm/gemsets/default.gems evaluated to empty gem list ruby-2.3.0-#generating default wrappers........ 4）安装gem redis接口 [root@itfirst~]# rvm use 2.3.0 Using/usr/local/rvm/gems/ruby-2.3.0 [root@itfirst~]# rvm remove 1.8.7 ruby-1.8.7-head-#already gone Using/usr/local/rvm/gems/ruby-2.3.0 [root@itfirst~]#ruby --version ruby2.3.0p0(2015-12-25revision53290)[x86_64-linux] [root@itfirst~]# gem install redis Fetching:redis-4.0.1.gem(100%) Successfully installedredis-4.0.1 Parsing documentationforredis-4.0.1 Installing ri documentationforredis-4.0.1 Done installing documentationforredisafter0seconds 1geminstalled 5）安装rubygems # yum install -y rubygems 到目前为止，我们的Ruby和运行redis-trib.rb需要的环境安装完成了。 3、Redis集群搭建有了Ruby执行环境，可以开始将之前的6个实例组建成集群了。 redis-trib.rb create --replicas 1 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 192.168.186.91:7003 192.168.186.91:7004 192.168.186.91:7005 有三个master，有三个是slave。后面跟上6个实例就好了，形式就是ip:port 【此处有坑】第一坑 [root@itfirstsrc]# redis-trib.rbcreate--replicas1 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 192.168.186.91:7003 192.168.186.91:7004 192.168.186.91:7005 -bash:redis-trib.rb:commandnotfound [root@itfirstsrc]# cp redis-trib.rb /usr/local/bin 需要将redis-trib.rb复制到/usr/local/bin目录下。第二坑 [root@itfirstbin]# redis-trib.rbcreate--replicas1 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 192.168.186.91:7003 192.168.186.91:7004 192.168.186.91:7005 >>>Creatingcluster [ERR]Node192.168.186.91:7000isnotempty.Either the node already knows other nodes(check with CLUSTERNODES)orcontains some keyindatabase0. 踩完第一坑后，继续执行，发现了第二坑，还好有度娘，但是网上各种说法都有（主要参照了《极客on之路》的博客），发现错误的原因是redis数据库没有清除。 [root@itfirstsrc]# redis-cli -h 192.168.186.91 -p 7001 192.168.186.91:7001>flushdb OK 192.168.186.91:7001>quit [root@itfirstsrc]# redis-cli -h 192.168.186.91 -p 7002 192.168.186.91:7002>flushdb OK 192.168.186.91:7002>quit [root@itfirstsrc]# redis-cli -h 192.168.186.91 -p 7003 192.168.186.91:7003>flushdb OK 192.168.186.91:7003>quit [root@itfirstsrc]# redis-cli -h 192.168.186.91 -p 7004 192.168.186.91:7004>flushdb OK 192.168.186.91:7004>quit [root@itfirstsrc]# redis-cli -h 192.168.186.91 -p 7005 192.168.186.91:7005>flushdb OK 192.168.186.91:7005>quit [root@itfirstsrc]# redis-trib.rbcreate--replicas1 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 192.168.186.91:7003 192.168.186.91:7004 192.168.186.91:7005 >>>Creatingcluster >>>Performing hash slots allocationon6nodes... Using3masters: 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 Addingreplica192.168.186.91:7003to192.168.186.91:7000 Addingreplica192.168.186.91:7004to192.168.186.91:7001 Addingreplica192.168.186.91:7005to192.168.186.91:7002 M:61b2b608177374fd0382c872f996a2c25f62daac192.168.186.91:7000 slots:0-5460,9189(5462slots)master M:50e678c98c31baa4ece1cba096cc34b4545456f3192.168.186.91:7001 slots:5461-10922(5462slots)master M:b8dc855a92d1c9a6e358380286a757011c40601d192.168.186.91:7002 slots:9189,10923-16383(5462slots)master S:42392d8b4665500b3229b5c5b9dcebed311c9cdf192.168.186.91:7003 replicates61b2b608177374fd0382c872f996a2c25f62daac S:4e8cd9bae1dc0ffa63a3b8315e3f92b0490e65f8192.168.186.91:7004 replicates50e678c98c31baa4ece1cba096cc34b4545456f3 S:3344981c3290c39b0d9f427842398c17de835293192.168.186.91:7005 replicates b8dc855a92d1c9a6e358380286a757011c40601d CanIset the aboveconfiguration?(type'yes'toaccept):yes /usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis/client.rb:119:in`call': ERR Slot 9189 is already busy (Redis::CommandError) from /usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:2764:in `block in method_missing' from/usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:45:in`blockinsynchronize' from /usr/local/rvm/rubies/ruby-2.3.0/lib/ruby/2.3.0/monitor.rb:214:in `mon_synchronize' from/usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:45:in`synchronize' from /usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:2763:in `method_missing' from/usr/local/bin/redis-trib.rb:212:in`flush_node_config' from /usr/local/bin/redis-trib.rb:776:in `block in flush_nodes_config' from/usr/local/bin/redis-trib.rb:775:in`each' from /usr/local/bin/redis-trib.rb:775:in `flush_nodes_config' from/usr/local/bin/redis-trib.rb:1296:in`create_cluster_cmd' from /usr/local/bin/redis-trib.rb:1696:in `<main>' 第三坑 [root@itfirstsrc]# redis-trib.rbcreate--replicas1 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 192.168.186.91:7003 192.168.186.91:7004 192.168.186.91:7005 >>>Creatingcluster >>>Performing hash slots allocationon6nodes... Using3masters: 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 Addingreplica192.168.186.91:7003to192.168.186.91:7000 Addingreplica192.168.186.91:7004to192.168.186.91:7001 Addingreplica192.168.186.91:7005to192.168.186.91:7002 M:61b2b608177374fd0382c872f996a2c25f62daac192.168.186.91:7000 slots:0-5460,9189(5462slots)master M:50e678c98c31baa4ece1cba096cc34b4545456f3192.168.186.91:7001 slots:5461-10922(5462slots)master M:b8dc855a92d1c9a6e358380286a757011c40601d192.168.186.91:7002 slots:9189,10923-16383(5462slots)master S:42392d8b4665500b3229b5c5b9dcebed311c9cdf192.168.186.91:7003 replicates61b2b608177374fd0382c872f996a2c25f62daac S:4e8cd9bae1dc0ffa63a3b8315e3f92b0490e65f8192.168.186.91:7004 replicates50e678c98c31baa4ece1cba096cc34b4545456f3 S:3344981c3290c39b0d9f427842398c17de835293192.168.186.91:7005 replicates b8dc855a92d1c9a6e358380286a757011c40601d CanIset the aboveconfiguration?(type'yes'toaccept):yes /usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis/client.rb:119:in`call': ERR Slot 9189 is already busy (Redis::CommandError) from /usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:2764:in `block in method_missing' from/usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:45:in`blockinsynchronize' from /usr/local/rvm/rubies/ruby-2.3.0/lib/ruby/2.3.0/monitor.rb:214:in `mon_synchronize' from/usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:45:in`synchronize' from /usr/local/rvm/gems/ruby-2.3.0/gems/redis-4.0.1/lib/redis.rb:2763:in `method_missing' from/usr/local/bin/redis-trib.rb:212:in`flush_node_config' from /usr/local/bin/redis-trib.rb:776:in `block in flush_nodes_config' from/usr/local/bin/redis-trib.rb:775:in`each' from /usr/local/bin/redis-trib.rb:775:in `flush_nodes_config' from/usr/local/bin/redis-trib.rb:1296:in`create_cluster_cmd' from /usr/local/bin/redis-trib.rb:1696:in `<main>' 还是度娘靠谱，在《redis 跨机器集群启动出错》博客中找到了答案。这是由于之间创建集群没有成功,需要将nodes.conf和dir里面的文件全部删除。 [root@itfirst7000]# find / -name "nodes-7000.conf" /usr/local/redis-3.2.3/src/nodes-7000.conf [root@itfirst7000]# cd ../../ [root@itfirstsrc]# rm -rf nodes-700* 然后重启redis服务。 [root@itfirstsrc]# redis-trib.rbcreate--replicas1 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 192.168.186.91:7003 192.168.186.91:7004 192.168.186.91:7005 >>>Creatingcluster >>>Performing hash slots allocationon6nodes... Using3masters: 192.168.186.91:7000 192.168.186.91:7001 192.168.186.91:7002 Addingreplica192.168.186.91:7003to192.168.186.91:7000 Addingreplica192.168.186.91:7004to192.168.186.91:7001 Addingreplica192.168.186.91:7005to192.168.186.91:7002 M:319da27d8668a15d2d2d02afe433247694343459192.168.186.91:7000 slots:0-5460(5461slots)master M:3da756265e301ac0210760f13e990473f87a3017192.168.186.91:7001 slots:5461-10922(5462slots)master M:6f336da48c892d8e0c541a864765978ebfbca6d5192.168.186.91:7002 slots:10923-16383(5461slots)master S:ff4cf9d8a141d85c478b9af0358c93bca342c236192.168.186.91:7003 replicates319da27d8668a15d2d2d02afe433247694343459 S:43c2e0d7799e84b449803a68d557c3431e9e047e192.168.186.91:7004 replicates3da756265e301ac0210760f13e990473f87a3017 S:3f174fae106cb6cf7e7f21ed844895ed7c18f793192.168.186.91:7005 replicates6f336da48c892d8e0c541a864765978ebfbca6d5 CanIset the aboveconfiguration?(type'yes'toaccept):yes >>>Nodes configurationupdated >>>Assignadifferent config epochtoeachnode >>>Sending CLUSTER MEET messagestojoin the cluster Waitingforthe clustertojoin.... >>>Performing Cluster Check(usingnode192.168.186.91:7000) M:319da27d8668a15d2d2d02afe433247694343459192.168.186.91:7000 slots:0-5460(5461slots)master M:3da756265e301ac0210760f13e990473f87a3017192.168.186.91:7001 slots:5461-10922(5462slots)master M:6f336da48c892d8e0c541a864765978ebfbca6d5192.168.186.91:7002 slots:10923-16383(5461slots)master M:ff4cf9d8a141d85c478b9af0358c93bca342c236192.168.186.91:7003 slots:(0slots)master replicates319da27d8668a15d2d2d02afe433247694343459 M:43c2e0d7799e84b449803a68d557c3431e9e047e192.168.186.91:7004 slots:(0slots)master replicates3da756265e301ac0210760f13e990473f87a3017 M:3f174fae106cb6cf7e7f21ed844895ed7c18f793192.168.186.91:7005 slots:(0slots)master replicates6f336da48c892d8e0c541a864765978ebfbca6d5 [OK]All nodes agree about slotsconfiguration. >>>Checkforopenslots... >>>Check slotscoverage... [OK]All16384slotscovered. 4、验证集群状态登录集群客户端，-c标识以集群方式登录 [root@itfirst src]# redis-cli -h 192.168.186.91 -c -p 7002 查看集群状态 192.168.186.91:7002>cluster info cluster_state:ok cluster_slots_assigned:16384 cluster_slots_ok:16384 cluster_slots_pfail:0 cluster_slots_fail:0 cluster_known_nodes:6 cluster_size:3 cluster_current_epoch:6 cluster_my_epoch:3 cluster_stats_messages_sent:124174 cluster_stats_messages_received:124174 192.168.186.91:7002>clusternodes 319da27d8668a15d2d2d02afe433247694343459192.168.186.91:7000master-015194659743071connected0-5460 3f174fae106cb6cf7e7f21ed844895ed7c18f793192.168.186.91:7005slave6f336da48c892d8e0c541a864765978ebfbca6d5015194659712786connected 6f336da48c892d8e0c541a864765978ebfbca6d5192.168.186.91:7002myself,master-003connected10923-16383 3da756265e301ac0210760f13e990473f87a3017192.168.186.91:7001master-015194659722882connected5461-10922 43c2e0d7799e84b449803a68d557c3431e9e047e192.168.186.91:7004slave3da756265e301ac0210760f13e990473f87a3017015194659732985connected ff4cf9d8a141d85c478b9af0358c93bca342c236192.168.186.91:7003slave319da27d8668a15d2d2d02afe433247694343459015194659692584connected www.codexueyuan.com

2018-03-14

资源下载

更多资源

腾讯云软件源

为解决软件依赖安装时官方源访问速度慢的问题，腾讯云为一些软件搭建了缓存服务。您可以通过使用腾讯云软件源站来提升依赖包的安装速度。为了方便用户自由搭建服务架构，目前腾讯云软件源站支持公网访问和内网访问。

Nacos

Nacos /nɑ:kəʊs/ 是 Dynamic Naming and Configuration Service 的首字母简称，一个易于构建 AI Agent 应用的动态服务发现、配置管理和AI智能体管理平台。Nacos 致力于帮助您发现、配置和管理微服务及AI智能体应用。Nacos 提供了一组简单易用的特性集，帮助您快速实现动态服务发现、服务配置、服务元数据、流量管理。Nacos 帮助您更敏捷和容易地构建、交付和管理微服务平台。

Spring

Spring框架（Spring Framework）是由Rod Johnson于2002年提出的开源Java企业级应用框架，旨在通过使用JavaBean替代传统EJB实现方式降低企业级编程开发的复杂性。该框架基于简单性、可测试性和松耦合性设计理念，提供核心容器、应用上下文、数据访问集成等模块，支持整合Hibernate、Struts等第三方框架，其适用范围不仅限于服务器端开发，绝大多数Java应用均可从中受益。

Rocky Linux

Rocky Linux（中文名：洛基）是由Gregory Kurtzer于2020年12月发起的企业级Linux发行版，作为CentOS稳定版停止维护后与RHEL（Red Hat Enterprise Linux）完全兼容的开源替代方案，由社区拥有并管理，支持x86_64、aarch64等架构。其通过重新编译RHEL源代码提供长期稳定性，采用模块化包装和SELinux安全架构，默认包含GNOME桌面环境及XFS文件系统，支持十年生命周期更新。