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搜索[一键部署]，共10000篇文章

OpenStack部署运维实战

同时，我们团队在日常运维 OpenStack 以及升级社区新版本中，也总结了一些部署、运维规范以及升级经验。

2017-10-31

Kubernetes持续部署Docker Apps

最终答案取决于Kubernetes的部署模式，因为Kubernetes官方文档使用Google Cloud作为案例，我也会使用这个部署模式。

2017-10-11

Docker自动部署Apache Tomcat

本文讲的是Docker自动部署Apache Tomcat，【编者的话】本文是Docker的入门文章，推荐Java开发者阅读。文章详细介绍了如何用Docker来安装部署Tomcat。

2017-09-18

持续部署的发展之路

由此种种，对于许多企业来说，在持续集成/持续部署的道路已步履蹒跚，但不得不说，仍有一部分企业做到了。

2017-09-04

容器时代的DevOps部署

本文目录：一、企业应用的部署发展二、普元容器云与DevOps的部署设计三、面向微服务的部署设计四、容器组装化部署五、容器云集成之路六、结语一、企业应用的部署发展本文讲的是容器时代的DevOps部署，

2017-09-03

docker部署spring cloud项目

开发者在笔记本上编译测试通过的容器可以批量地在生产环境中部署，包括VMs（虚拟机）、bare metal、OpenStack 集群和其他的基础应用平台。

2017-08-24

hadoop分布式部署

我是将 namenode 和 jobtracker 部署在 hadoop1 上, hadoop2, hadoop3 作为 datanode和 tasktracker 。

2017-06-01

如何部署 Docker Registry 服务

如何部署 Docker Registry 服务本文阐释了怎样部署私有的 Docker Registry 服务 —— 或为公司私用，或公开给其他用户使用。

2017-05-01

使用Jenkins 自动部署发布

使用Jenkins自动部署发布，继Jenkins部署篇后： #注意：jenkins路径会有差异，不用在意这个，同一个版本部署2次，发现了2个不同的目录结构，很诧异。

2017-04-18

部署 Office Online Server 2016

部署 Office Online Server 2016 简介：配置 Office Online Server 2016，用户可以在 Outlook 网页版中查看受支持的文件附件，而无需下载这些附件，

2017-01-18

版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/SunnyYoona/article/details/52757310 1. 下载 http://www.apache.org/dyn/closer.lua/sqoop/1.4.6 2. 解压 xiaosi@Qunar:~$ sudo tar -zxvf sqoop-1.4.6.bin__hadoop-2.0.4-alpha.tar.gz -C /opt 进行重命名： xiaosi@Qunar:/opt$ sudo mv sqoop-1.4.6.bin__hadoop-2.0.4-alpha sqoop-1.4.6 3. 配置环境变量 # sqoop export SQOOP_HOME=/opt/sqoop-1.4.6 export PATH=${SQOOP_HOME}/bin:$PATH 4. 配置文件 xiaosi@Qunar:/opt/sqoop-1.4.6/conf$ sudo mv sqoop-env-template.sh sqoop-env.sh 进行如下修改： # Set Hadoop-specific environment variables here. #Set path to where bin/hadoop is available export HADOOP_COMMON_HOME=/opt/hadoop-2.7.2 #Set path to where hadoop-*-core.jar is available export HADOOP_MAPRED_HOME=/opt/hadoop-2.7.2 #set the path to where bin/hbase is available #export HBASE_HOME= #Set the path to where bin/hive is available export HIVE_HOME=/opt/apache-hive-2.0.0-bin #Set the path for where zookeper config dir is #export ZOOCFGDIR=/opt/zookeeper-3.4.8 如果数据读取不涉及hbase和hive，那么相关hbase和hive的配置可以不用配置；如果集群有独立的zookeeper集群，那么配置zookeeper，反之，不用配置。 5. Copy Jar包所需的包：hadoop-core包、mysql的jdbc包（或Oracle的jdbc包等） xiaosi@Qunar:~$ sudo mv hadoop-core-1.2.1.jar /opt/sqoop-1.4.6/lib/ xiaosi@Qunar:~$ sudo mv mysql-connector-java-5.1.38.jar /opt/sqoop-1.4.6/lib/ 6. 测试验证 xiaosi@Qunar:/opt/sqoop-1.4.6/bin$ sqoop list-databases --connect jdbc:mysql://localhost:3306 --username root -password root Warning: /opt/sqoop-1.4.6/../hbase does not exist! HBase imports will fail. Please set $HBASE_HOME to the root of your HBase installation. Warning: /opt/sqoop-1.4.6/../hcatalog does not exist! HCatalog jobs will fail. Please set $HCAT_HOME to the root of your HCatalog installation. Warning: /opt/sqoop-1.4.6/../accumulo does not exist! Accumulo imports will fail. Please set $ACCUMULO_HOME to the root of your Accumulo installation. 16/10/08 15:43:03 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6 16/10/08 15:43:03 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead. 16/10/08 15:43:03 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset. information_schema hive_db mysql performance_schema phpmyadmin test

2016-10-07

Spark-yarn环境部署

基本环境: ubuntu 12.04 32位一. 安装yarn伪分布式集群 1. 创建新用户 (1) 添加用户: sudo useradd -m hadoop -s /bin/bash (2) 修改密码: sudo passwd hadoop (3) 添加sudo权限: sudo adduser hadoop sudo (4) 注销选择hadoop用户登录 2. 系统环境配置 (1) sudo apt-get update (2) 安装vim: sudo apt-get install vim (3) 安装ssh: sudo apt-get install openssh-server (4) 设置ssh免登录 cd ~/.ssh rm ./id_rsa* ssh-keygen -t rsa (一路回车即可) cat ./id_rsa.pub >> ./authorized_keys 3. 安装java环境 (1) 安装jre和jdk: sudo apt-get install openjdk-7-jre openjdk-7-jdk (2) 设置环境变量JAVA_HOME: dpkg -L openjdk-7-jdk | grep '/bin/javac' 该命令会输出一个路径，除去路径末尾的 “/bin/javac” (3) vim ~/.bashrc 添加一行export JAVA_HOME=... (4) source ~/.bashrc (5) check java 版本: java -version 4. 安装hadoop2 (1) 从http://mirror.bit.edu.cn/apache/hadoop/common/下载最新的稳定版本的hadoop，例如hadoop-2.7.3/hadoop-2.7.3.tar.gz (2) 安装hadoop: sudo tar -zxf hadoop-2.7.3.tar.gz -C /usr/local cd /usr/local sudo mv hadoop-2.7.3 hadoop sudo chown -R hadoop hadoop 5. 配置hadoop cd /usr/local/hadoop/etc/hadoop进入hadoop配置目录，如果没有hadoop-env.sh或yarn-env.sh需要从后缀名为hadoop-env.sh.template复制一份 1). 在hadoop-env.sh中配置JAVA_HOME 2).在yarn-env.sh中配置JAVA_HOME 3). 修改core-site.xml <configuration> <property> <name>hadoop.tmp.dir</name> <value>file:/usr/local/hadoop/tmp</value> <description>Abase for other temporary directories.</description> </property> <property> <name>fs.defaultFS</name> <value>hdfs://localhost:9000</value> </property> </configuration> 4). hdfs-site.xml <configuration> <property> <name>dfs.replication</name> <value>1</value> </property> <property> <name>dfs.namenode.name.dir</name> <value>file:/usr/local/hadoop/tmp/dfs/name</value> </property> <property> <name>dfs.datanode.data.dir</name> <value>file:/usr/local/hadoop/tmp/dfs/data</value> </property> </configuration> 5). mapred-site.xml <configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> </configuration> 6). yarn-site.xml <configuration> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> </configuration> 6. 启动hadoop (1) namenode格式化 ./bin/hdfs namenode -format (2) 修改~/.bashrc添加以下两行，并执行source ~/.bashrc export HADOOP_HOME=/usr/local/hadoop export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native (3) ./libexec/hadoop-config.sh 找到JAVA_HOME，在前面添加 export JAVA_HOME=... (4) 开启 NameNode 和 DataNode 守护进程 ./sbin/start-dfs.sh (5) jps命令查看是否成功启动若成功启动则会列出如下进程: “NameNode”、”DataNode” 和 “SecondaryNameNode”（如果 SecondaryNameNode 没有启动，请运行 sbin/stop-dfs.sh 关闭进程，然后再次尝试启动尝试）。如果没有 NameNode 或 DataNode ，那就是配置不成功，请仔细检查之前步骤，或通过查看启动日志排查原因。 (6) 启动成功后可以通过 http://localhost:50070/查看nameNode和dataNode相关信息 (7) 关闭hadoop ./sbin/stop-dfs.sh 第二次之后启动 hadoop，无需进行 NameNode 的初始化，只需要运行 ./sbin/start-dfs.sh 即可 7. 启动YARN (1) 启动yarn ./sbin/start-yarn.sh ./sbin/mr-jobhistory-daemon.sh start historyserver #开启历史服务器，才能在Web中查看任务运行情况 (2) jps查看开启后通过 jps 查看，可以看到多了 NodeManager 和 ResourceManager 两个后台进程 (3) 启动成功后可以通过页面http://localhost:8088/cluster查看集群任务的运行情况 (4) 关闭yarn ./sbin/stop-yarn.sh ./sbin/mr-jobhistory-daemon.sh stop historyserver 二. 安装Spark 1. 下载Spark wget "http://d3kbcqa49mib13.cloudfront.net/spark-2.0.0-bin-hadoop2.7.tgz" 2. 解压到/usr/local sudo tar -xvzf spark-2.0.0-bin-hadoop2.7.tgz -C /usr/local cd /usr/local sudo mv spark-2.0.0-bin-hadoop2.7 spark sudo chown -R hadoop spark 3. 设置环境变化PATH vim ~/.bashrc export PATH=$PATH:/usr/local/hadoop/bin:/usr/local/spark/bin source ~/.bashrc 4). 配置Spark cd /usr/local/spark/conf cp spark-env.sh.template spark-env.sh vim spark-env.sh 配置内容如下 export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-i386 export HADOOP_HOME=/usr/local/hadoop export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop SPARK_MASTER_IP=master SPARK_LOCAL_DIRS=/usr/local/spark SPARK_DRIVER_MEMORY=1G 5). 启动spark sh /usr/local/sbin/start-all.sh 启动成功后可以使用 pyspark或spark-submit 同时也可以访问以下链接查看spark任务 http://master:8080 三. 使用Yarn运行Spark程序为了方便，以后我们都采用Yarn来运行Spark任务，不会再单独启动Spark 1. 机器配置 sudo chown hadoop:root -R /usr/local/hadoop sudo chown hadoop:root -R /usr/local/spark sudo chmod 775 -R /usr/local/hadoop sudo chmod 775 -R /usr/local/spark //bashrc配置 export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-i386 export HADOOP_HOME=/usr/local/hadoop export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native export HADOOP_OPTS=-Djava.library.path=$HADOOP_HOME/lib export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop export PATH=$PATH:/usr/local/hadoop/bin:/usr/local/spark/bin export LD_LIBRARY_PATH=/usr/local/hadoop/lib/native:$LD_LIBRARY_PATH 2. 启动yarn cd /usr/local/hadoop ./sbin/start-dfs.sh ./sbin/start-yarn.sh ./sbin/mr-jobhistory-daemon.sh start historyserver jps查看进程，应该有以下几个 16891 NodeManager 16951 JobHistoryServer 16502 SecondaryNameNode 16028 NameNode 17729 Jps 16683 ResourceManager 16228 DataNode 3. 停止yarn cd /usr/local/hadoop ./sbin/stop-dfs.sh ./sbin/stop-yarn.sh ./sbin/mr-jobhistory-daemon.sh stop historyserver 4. web界面查看查看nameNode和dataNode: http://localhost:50070/ 查看yarn集群任务: http://localhost:8088/cluster 四. 问题汇总 1. 问题 Hadoop 2.x.x - warning: You have loaded library /home/hadoop/2.2.0/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. 解决方案 1. vi ~/.bashrc 2. 添加以下2行 export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_HOME}/lib/native export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib

2016-09-04

Docker实践--部署Nodejs应用

从而实现快速部署。由于网络的原因我的Node.js镜像从国内的镜像库下载，而不是Docker Hub。先从国内的镜像网站上pull下一下nodejs镜像。

2016-08-31

部署Tomcat及其负载均衡

server.xml 运行tomcat： /usr/local/tomcat7/bin/shutdown.sh /usr/local/tomcat7/bin/startup.sh -----s03-nginx部署

2016-08-18

OpenLDAP 客户端部署

三、三种部署方式介绍 1、图形化部署一般通过 setup、authconfig-gui命令调用图形界面实现配置。

2016-08-11

Openstack组件部署 — Nova overview

daemon nova-spicehtml5proxy daemon nova-cert daemon nova client The queue SQL database 前文列表 Openstack组件部署

2016-06-25

openstack 与 ceph (osd 部署)

当 monitor 运行后, 你需要添加 OSD, 你的集群只有在获得足够的 OSD 数量用于复制对象时候才可能获得 active + clean 状态例如 osd pool size = 2, 那么至少需要 2 个 OSD, 在启动 MONITOR 后,你的集群具有默认的 CURSH MAP, 当前 CURSH MAP 并没有 CEPH OSD 进程映射到 CEPH 节点 CEPH 提供 CEPH-DISK 工具, 可以准备一次磁盘, 分区或者目录用于 CEPH, ceph-disk 工具通过增加 INDEX 创建 OSD ID, 另外 ceph-disk 将会增加新的 OSD 到 CURSH MAP 目标为每个电脑中的每个独立的磁盘都创建一个对应的 OSD, 当前数据备份副本数量为 3 1. 系统初始化安装 Centos 7.1 版本操作系统在 /etc/hosts 定义集群中所有主机名及 ip 地址保证时间同步确保 iptables, selinux 都处于关闭状态 2. 准备磁盘把打算用于创建 ceph 存储的磁盘进行分区, 并执行格式化, 参考该脚本, 并在每个节点上执行 #!/bin/bash LANG=en_US disk=`fdisk -l | grep ^Disk | grep sectors | grep sd | grep -v sda | awk -F[:\ ] '{print $2}' | sort` yum install -y hdparm for partition in $disk do dd if=/dev/zero of=$partition bs=1M count=100 parted -s $partition mklabel gpt parted $partition mkpart primary xfs 1 100% hdparm -z "$partition"1 mkfs.xfs -f -i size=512 "$partition"1 done 3. 创建osd 每个独立的物理硬盘, 都已经完成格式化, 我们修改 /etc/fstab 把磁盘挂载到对应的目录中, 成为 CEPH 集群存储中的一部分我们都会为每个独立的磁盘创建一个独立的 OSD 与其对应, #!/bin/bash LANG=en_US num=0 for ip in 240.30.128.55 240.30.128.56 240.30.128.57 240.30.128.73 240.30.128.74 240.30.128.75 240.30.128.76 do diskpart=`ssh $ip "fdisk -l | grep GPT | grep -v sda" | awk '{print $1}' | sort` for partition in $diskpart do ssh $ip "ceph osd create" ssh $ip "mkdir /var/lib/ceph/osd/ceph-$num" ssh $ip "echo $partition /var/lib/ceph/osd/ceph-$num xfs defaults 0 0 >> /etc/fstab" let num++ done ssh $ip "mount -a" done 重启, 验证挂载是否正常 4. ceph 配置文件 [global] fsid = dc4f91c1-8792-4948-b68f-2fcea75f53b9 mon initial members = hh-yun-ceph-cinder015-128055, hh-yun-ceph-cinder017-128057, hh-yun-ceph-cinder024-128074 mon host = 10.199.128.55, 10.199.128.57, 10.199.128.74 public network = 192.168.209.0/24 auth cluster required = cephx auth service required = cephx auth client required = cephx osd journal size = 1024 filestore xattr use omap = true osd pool default size = 2 osd pool default min size = 1 osd pool default pg num = 333 osd pool default pgp num = 333 osd crush chooseleaf type = 1 5. 初始化 OSD 数据目录 #!/bin/bash LANG=en_US num=0 for ip in 240.30.128.55 240.30.128.56 240.30.128.57 240.30.128.73 240.30.128.74 240.30.128.75 240.30.128.76 do diskpart=`ssh $ip "fdisk -l | grep GPT | grep -v sda" | awk '{print $1}' | sort` for partition in $diskpart do ssh $ip "ceph-osd -i $num --mkfs --mkkey --osd-uuid dc4f91c1-8792-4948-b68f-2fcea75f53b9" let num++ done done 检测结果 [root@hh-yun-ceph-cinder015-128055 tmp]# ls /var/lib/ceph/osd/ceph* /var/lib/ceph/osd/ceph-0: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-1: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-2: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-3: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-4: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-5: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-6: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-7: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-8: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami /var/lib/ceph/osd/ceph-9: ceph_fsid current fsid journal keyring magic ready store_version superblock whoami 6. 注册 OSD 认证密钥 #!/bin/bash LANG=en_US num=0 for ip in 240.30.128.55 240.30.128.56 240.30.128.57 240.30.128.73 240.30.128.74 240.30.128.75 240.30.128.76 do diskpart=`ssh $ip "fdisk -l | grep GPT | grep -v sda" | awk '{print $1}' | sort` for partition in $diskpart do ssh $ip "ceph auth add osd.$num osd 'allow *' mon 'allow profile osd' -i /var/lib/ceph/osd/ceph-$num/keyring" let num++ done done 参考执行结果 [root@hh-yun-ceph-cinder015-128055 tmp]# ./authosd.sh added key for osd.0 added key for osd.1 added key for osd.2 added key for osd.3 added key for osd.4 added key for osd.5 added key for osd.6 added key for osd.7 added key for osd.8 added key for osd.9 added key for osd.10 added key for osd.11 added key for osd.12 added key for osd.13 added key for osd.14 added key for osd.15 added key for osd.16 added key for osd.17 added key for osd.18 added key for osd.19 added key for osd.20 added key for osd.21 added key for osd.22 added key for osd.23 added key for osd.24 added key for osd.25 added key for osd.26 added key for osd.27 added key for osd.28 added key for osd.29 added key for osd.30 added key for osd.31 added key for osd.32 added key for osd.33 added key for osd.34 added key for osd.35 added key for osd.36 added key for osd.37 added key for osd.38 added key for osd.39 added key for osd.40 added key for osd.41 added key for osd.42 added key for osd.43 added key for osd.44 added key for osd.45 added key for osd.46 added key for osd.47 added key for osd.48 added key for osd.49 added key for osd.50 added key for osd.51 added key for osd.52 added key for osd.53 added key for osd.54 added key for osd.55 added key for osd.56 added key for osd.57 added key for osd.58 added key for osd.59 added key for osd.60 added key for osd.61 added key for osd.62 added key for osd.63 added key for osd.64 added key for osd.65 added key for osd.66 added key for osd.67 added key for osd.68 added key for osd.69 7. 添加 ceph 节点到 CURSH MAP 中, 并把 ceph 节点放置 ROOT 节点下 #!/bin/bash for host in hh-yun-ceph-cinder015-128055 hh-yun-ceph-cinder016-128056 hh-yun-ceph-cinder017-128057 hh-yun-ceph-cinder023-128073 hh-yun-ceph-cinder024-128074 hh-yun-ceph-cinder025-128075 hh-yun-ceph-cinder026-128076 do ceph osd crush add-bucket $host host ceph osd crush move $host root=default done 参考执行结果 [root@hh-yun-ceph-cinder015-128055 tmp]# ./hostmap.sh added bucket hh-yun-ceph-cinder015-128055 type host to crush map moved item id -2 name 'hh-yun-ceph-cinder015-128055' to location {root=default} in crush map added bucket hh-yun-ceph-cinder016-128056 type host to crush map moved item id -3 name 'hh-yun-ceph-cinder016-128056' to location {root=default} in crush map added bucket hh-yun-ceph-cinder017-128057 type host to crush map moved item id -4 name 'hh-yun-ceph-cinder017-128057' to location {root=default} in crush map added bucket hh-yun-ceph-cinder023-128073 type host to crush map moved item id -5 name 'hh-yun-ceph-cinder023-128073' to location {root=default} in crush map added bucket hh-yun-ceph-cinder024-128074 type host to crush map moved item id -6 name 'hh-yun-ceph-cinder024-128074' to location {root=default} in crush map added bucket hh-yun-ceph-cinder025-128075 type host to crush map moved item id -7 name 'hh-yun-ceph-cinder025-128075' to location {root=default} in crush map added bucket hh-yun-ceph-cinder026-128076 type host to crush map moved item id -8 name 'hh-yun-ceph-cinder026-128076' to location {root=default} in crush map 8. 管理 crush map 增加 OSD 到 CURSH MAP, 然后你就可以接收数据, 你同样可以重新编译 CURSH MAP, 添加 OSD 到磁盘, 添加主机到 CURSH MAP, 为磁盘添加设备分配权重, 重新进行编译设定即可 #!/bin/bash LANG=en_US num=0 for ip in 240.30.128.55 240.30.128.56 240.30.128.57 240.30.128.73 240.30.128.74 240.30.128.75 240.30.128.76 do diskpart=`ssh $ip "fdisk -l | grep GPT | grep -v sda" | awk '{print $1}' | sort` for partition in $diskpart do hostname=`ssh $ip hostname -s` ceph osd crush add osd.$num 1.0 root=default host=$hostname let num++ done done 9. 启动 osd #!/bin/bash LANG=en_US num=0 for ip in 240.30.128.55 240.30.128.56 240.30.128.57 240.30.128.73 240.30.128.74 240.30.128.75 240.30.128.76 do diskpart=`ssh $ip "fdisk -l | grep GPT | grep -v sda" | awk '{print $1}' | sort` for partition in $diskpart do ssh $ip "touch /var/lib/ceph/osd/ceph-$num/sysvinit" ssh $ip "/etc/init.d/ceph start osd.$num" let num++ done done 10. 校验状态 [root@hh-yun-ceph-cinder017-128057 ~]# ceph osd tree # id weight type name up/down reweight -1 70 root default -2 10 host hh-yun-ceph-cinder015-128055 0 1 osd.0 up 1 1 1 osd.1 up 1 2 1 osd.2 up 1 3 1 osd.3 up 1 4 1 osd.4 up 1 5 1 osd.5 up 1 6 1 osd.6 up 1 7 1 osd.7 up 1 8 1 osd.8 up 1 9 1 osd.9 up 1 -3 10 host hh-yun-ceph-cinder016-128056 10 1 osd.10 up 1 11 1 osd.11 up 1 12 1 osd.12 up 1 13 1 osd.13 up 1 14 1 osd.14 up 1 15 1 osd.15 up 1 16 1 osd.16 up 1 17 1 osd.17 up 1 18 1 osd.18 up 1 19 1 osd.19 up 1 -4 10 host hh-yun-ceph-cinder017-128057 20 1 osd.20 up 1 21 1 osd.21 up 1 22 1 osd.22 up 1 23 1 osd.23 up 1 24 1 osd.24 up 1 25 1 osd.25 up 1 26 1 osd.26 up 1 27 1 osd.27 up 1 28 1 osd.28 up 1 29 1 osd.29 up 1 -5 10 host hh-yun-ceph-cinder023-128073 30 1 osd.30 up 1 31 1 osd.31 up 1 32 1 osd.32 up 1 33 1 osd.33 up 1 34 1 osd.34 up 1 35 1 osd.35 up 1 36 1 osd.36 up 1 37 1 osd.37 up 1 38 1 osd.38 up 1 39 1 osd.39 up 1 -6 10 host hh-yun-ceph-cinder024-128074 40 1 osd.40 up 1 41 1 osd.41 up 1 42 1 osd.42 up 1 43 1 osd.43 up 1 44 1 osd.44 up 1 45 1 osd.45 up 1 46 1 osd.46 up 1 47 1 osd.47 up 1 48 1 osd.48 up 1 49 1 osd.49 up 1 -7 10 host hh-yun-ceph-cinder025-128075 50 1 osd.50 up 1 51 1 osd.51 up 1 52 1 osd.52 up 1 53 1 osd.53 up 1 54 1 osd.54 up 1 55 1 osd.55 up 1 56 1 osd.56 up 1 57 1 osd.57 up 1 58 1 osd.58 up 1 59 1 osd.59 up 1 -8 10 host hh-yun-ceph-cinder026-128076 60 1 osd.60 up 1 61 1 osd.61 up 1 62 1 osd.62 up 1 63 1 osd.63 up 1 64 1 osd.64 up 1 65 1 osd.65 up 1 66 1 osd.66 up 1 67 1 osd.67 up 1 68 1 osd.68 up 1 69 1 osd.69 up 1 [root@hh-yun-ceph-cinder015-128055 tmp]# ceph -s cluster dc4f91c1-8792-4948-b68f-2fcea75f53b9 health HEALTH_WARN too few pgs per osd (2 < min 20) monmap e1: 3 mons at {hh-yun-ceph-cinder015-128055=240.30.128.55:6789/0,hh-yun-ceph-cinder017-128057=240.30.128.57:6789/0,hh-yun-ceph-cinder024-128074=240.30.128.74:6789/0}, election epoch 8, quorum 0,1,2 hh-yun-ceph-cinder015-128055,hh-yun-ceph-cinder017-128057,hh-yun-ceph-cinder024-128074 osdmap e226: 70 osds: 70 up, 70 in pgmap v265: 192 pgs, 3 pools, 0 bytes data, 0 objects 74632 MB used, 254 TB / 254 TB avail 192 active+clean

2015-07-23

HBase集群的安装部署

版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/qq1010885678/article/details/43819177 HBase的安装是是建立在hadoop和zookeeper集群之上的安装的步骤跟伪分布式差不多，只是修改了一些配置文件解压缩、重命名、设置环境变量把hbase-0.94.2-security.tar.gz复制到/home/hadoop 解压hbase-0.94.2-security.tar.gz与重命名 #cd /home/hadoop #tar -zxvf hbase-0.94.2-security.tar.gz #mv hbase-0.94.2-security hbase 修改/etc/profile文件。 #vi /etc/profile 增加 export HBASE_HOME=/home/hadoop/hbase 修改 export PATH=$JAVA_HOME/bin:$PATH:$HADOOP_HOME/bin:$HBASE_HOME/bin 保存退出 #source /etc/profile 修改$HBASE_HOME/conf/hbase-env.sh，修改内容如下： export JAVA_HOME=/usr/java/jdk1.6.0_45 export HBASE_MANAGES_ZK=false 在伪分布式安装中HBASE_MANAGES_ZK设置的是true，使用hbase自身的zookeeper 而完全分布式安装则依赖集群上的zooleeper，所以这里要设置为false 修改$HBASE_HOME/conf/hbase-site.xml，修改内容如下： <property> <name>hbase.rootdir</name> <value>hdfs://master:9000/hbase</value> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> <property> <name>hbase.zookeeper.quorum</name> <value>master,slave1,slave2</value> </property> <property> <name>dfs.replication</name> <value>1</value> </property> hbase.rootdir配置在hdfs文件系统上hbase存储的路径 hbase.cluster.distributed配置是否是分布式的 hbase.zookeeper.quorum配置zookeeper在哪些节点上（伪分布式安装中只有一个master） dfs.replication配置副本个数注意：hbase.rootdir的主机和端口号与hadoop的配置文件core-site.xml的fs.default.name的主机和端口号一致 (可选)文件regionservers的内容为各个regionserver的节点主机名 slave1 slave2 在为分布式安装中，内容只有master，该文件记录regionserver的各个节点的主机名，因为是伪分布式安装，所只写一个，localhost或者主机名都可以启动hbase，在bin目录下执行命令start-hbase.sh ******启动hbase之前，确保hadoop是运行正常的，并且可以写入文件，zookeeper集群已启动******* 4.5 验证是否安装成功： (1)执行jps，发现master节点新增加了2个java进程，分别是HMaster、HQuorumPeer；在regionserver节点上新增了HRegionServer进程 (2)使用浏览器访问http://master:60010，可以进入和hadoop类似的web管理页面

2015-02-13

ceph for openstack快速部署实施

for el6 即centos6 1,添加ceph 官方yum源 [root@ruiy ~]# cat /etc/yum.repos.d/ceph.repo[ceph-noarch]name=Ceph noarch packagesbaseurl=http://ceph.com/rpm-firefly/el6/noarchenabled=1gpgcheck=1type=rpm-mdgpgkey=https://ceph.com/git/?p=ceph.git;a=blob_plain;f=keys/release.asc[root@ruiy ~]# 2,更新yum 源 yum update && sudo yum install ceph-deploy Installed: ceph-deploy.noarch 0:1.5.19-0Dependency Installed: python-argparse.noarch 0:1.2.1-2.el6Complete!

2014-11-08

5 分钟内完成本地部署：Jina embedding 模型现已支持本地部署

亲身体验 Elasticsearch：深入探索 Elasticsearch Labs 代码库中的示例 Notebook，开始免费云试用，或者现在就在您的本地机器上试用 Elastic。

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