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搭建Docker私有仓库--自签名方式

为了能集中管理我们创建好的镜像,方便部署服务,我们会创建私有的Docker仓库。通读了一遍官方文档,Docker为了确保安全使用TLS,需要CA认证,认证时间长的要钱啊,免费过期时间太短,还是用自签名比较简单。 准备环境 环境:两台Centos 7 虚拟机 》服务器IP:10.57.220.244 ,作为Docker仓库使用 》客户端IP:10.57.220.220 ,作为客户端来上传或拉取镜像 》域名:lpxxn.com 两台机器上均已安装好Docker 版本为 17.03.0-ce 如果你和我一样没有用真域名,只需要在客户机上修改一下hosts文件 生成自签名证书 在服务器主机上生成自签名证书,创建一个文件夹用于存放证书 mkdir -p certs 生成证书 openssl req -newkey rsa:4096 -nodes -sha256 -keyout certs/lpxxn.com.key -x509 -days 365 -out certs/lpxxn.com.crt 需要注意的是在填写的时候Common Name和你的域名是一至的。 ll certs文件夹就可以看到生成好的两个文件 运行仓库镜像,如果本地没有相应的镜像会从Docker服务器上下载,然后才启动,可以用docker ps命令查看是否已经有窗口在运行。 docker run -d -p 5000:5000 --restart=always --name registry_https -v `pwd`/certs:/home/certs -e REGISTRY_HTTP_TLS_CERTIFICATE=/home/certs/lpxxn.com.crt -e REGISTRY_HTTP_TLS_KEY=/home/certs/lpxxn.com.key registry:2 你也可以指定本机的目录保存上传好的docker镜像 docker run -d -p 5000:5000 -v `pwd`/dockerregister:/var/lib/registry --restart=always --name registry_https -v `pwd`/certs:/home/certs -e REGISTRY_HTTP_TLS_CERTIFICATE=/home/certs/lpxxn.com.crt -e REGISTRY_HTTP_TLS_KEY=/home/certs/lpxxn.com.key registry:2 到这里服务器就启动好了,最后一步是把生成好的lpxxn.com.crt复制到客户端,你可以用自己的方式复制, 我用的scp先复制到/home/test目录下,再复制到/etc/pki/ca-trust/source/anchors目录下 scp -r lpxxn.com.crt li@10.57.220.220:/home/test 配置客户端 把服务器端生成的的lpxxn.com.crt复制到客户端服务器的 /etc/pki/ca-trust/source/anchors目录下,ll查看 一下 更新证书,然后重新启动docker 。 update-ca-trust service docker stop && service docker start ok.使用curl查看一下仓库 curl https://lpxxn.com:5000/v2/_catalog 可以正常访问了。再使用docker命令上传下载试试 使用docker tag 标记本地的镜像centos:6为lpxxn.com:5000/centos6:1.0 push到仓库 执行push 命令 docker push lpxxn.com:5000/centos6:1.0 查看仓库信息 使用curl 查看仓库有哪些镜像和版本 curl https://lpxxn.com:5000/v2/_catalog curl https://lpxxn.com:5000/v2/centos6/tags/list 从仓库拉取镜像 先把本地的镜像删除 docker rmi lpxxn.com:5000/centos6:1.0 docker rmi centos:6 拉取然后run docker pull lpxxn.com:5000/centos6:1.0

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搭建腾讯云,用xshell建立连接

学生的话可以在腾讯云上认证学生,学生用的腾讯云服务器。 我通过免费试用获得腾讯云5天使用期 申请成功会通过邮件把云服务器的必要信息发给你 进入腾讯云,登录到腾讯云主机 通过邮件所给的账户和密码登录,最好先重置下它给的密码 这样就登录成功了 在输入密码的时候它不会显示 你输入完了直接回车就好 下面用xshell5连接到云服务器 云服务器的IP地址你可以通过ifconfig查询到(也就是邮件中你内网的地址) 打开xshell5,新建一个会话 名称是你连云服务器的名称(可以随便写吧) 主机就是你云服务器的外网IP地址,端口记得默认22 然后点击用户身份验证 用户名和密码写你登录云服务器的帐号密码吧 然后在会话中点击连接 连接成功后: 到此xshell与腾讯云服务器的连接到此结束 之前我犯的错误是一直连内网的IP 怪不得一直连不上

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OpenStack组件Swift单机搭建(基于Keystone)

安装环境:Ubuntu 16.04 需要有两块硬盘(一块为系统盘,一块用于安装SWIFT) 需要有IP地址 环境准备 修改hosts文件 安装相关服务 修改hosts 编辑 /etc/hosts,添加 IP地址 controller 安装Openstack源并更新和安装 apt install software-properties-common add-apt-repository cloud-archive:newton apt update && apt dist-upgrade 安装完成后重启 安装Openstack客户端 apt install python-openstackclient 安装数据库 1、安装数据库服务 apt install mariadb-server python-pymysql 2、创建或修改/etc/mysql/mariadb.conf.d/99-openstack.cnf文件 (若文件存在则修改,不存在则创建,存在的文件中若未提及的选项则保持不变,下同) [mysqld] bind-address = 你的IP地址 default-storage-engine = innodb innodb_file_per_table max_connections = 4096 collation-server = utf8_general_ci character-set-server = utf8 3、将/etc/mysql/mariadb.conf.d/下所有的文件中所有utf8mb4改为utf84、进入数据库,设置root密码,添加远程登录权限 # mysql -u root mysql> GRANT ALL PRIVILEGES ON *.* TO 'root'@'localhost' \ IDENTIFIED BY 'root密码'; mysql> GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' \ IDENTIFIED BY 'root密码'; mysql> flush privileges; mysql> exit; 5、重启数据库 service mysql restart 安装消息队列服务(Message Queue) 1、安装服务 apt install rabbitmq-server 2、添加openstack用户并添加权限 rabbitmqctl add_user openstack 设置一个密码 rabbitmqctl set_permissions openstack ".*" ".*" ".*" 安装分布式缓存服务(Memcached) 1、安装服务 apt install memcached python-memcache 2、修改配置文件/etc/memcached.conf -l 你的IP地址 3、重启服务 service memcached restart 安装配置Keystone,并添加域、项目、用户和角色 准备 1、添加Keystone数据库和相关用户 # mysql -u root -p Create the keystone database: mysql> CREATE DATABASE keystone; mysql> GRANT ALL PRIVILEGES ON keystone.* TO 'keystone'@'localhost' \ IDENTIFIED BY 'Keystone密码'; mysql> GRANT ALL PRIVILEGES ON keystone.* TO 'keystone'@'%' \ IDENTIFIED BY 'Keystone密码'; 2、安装服务 apt install keystone 配置Keystone 1、编辑/etc/keystone/keystone.conf [database] connection = mysql+pymysql://keystone:'keystone用户的密码'@controller/keystone [token] provider = fernet 2、填充keystone数据库启动mariadb远程访问 sed -i 's/127.0.0.1/0.0.0.0/g' /etc/mysql/mariadb.conf.d/50-server.cnf su -s /bin/sh -c "keystone-manage db_sync" keystone 3、初始化Fernet key repositories(似乎是个专有名词不知道咋翻译) keystone-manage fernet_setup --keystone-user keystone --keystone-group keystone keystone-manage credential_setup --keystone-user keystone --keystone-group keystone 4、对认证服务进行引导 keystone-manage bootstrap --bootstrap-password 设置一个admin密码 \ --bootstrap-admin-url http://controller:35357/v3/ \ --bootstrap-internal-url http://controller:35357/v3/ \ --bootstrap-public-url http://controller:5000/v3/ \ --bootstrap-region-id RegionOne 配置Apache HTTP服务 1、编辑/etc/apache2/apache2.conf ServerName controller 2、重启apache服务,并且删除SQLite数据库 service apache2 restart rm -f /var/lib/keystone/keystone.db 3、添加一些环境变量(临时的哦) export OS_USERNAME=admin export OS_PASSWORD=这里写你刚才设置的admin的密码 export OS_PROJECT_NAME=admin export OS_USER_DOMAIN_NAME=default export OS_PROJECT_DOMAIN_NAME=default export OS_AUTH_URL=http://controller:35357/v3 export OS_IDENTITY_API_VERSION=3 创建域、项目、用户和角色 1、创建一个service项目 openstack project create --domain default \ --description "Service Project" service 2、创建一个demo项目和user创建demo项目 openstack project create --domain default \ --description "Service Project" service 创建demo用户 openstack project create --domain default \ --description "Demo Project" demo openstack user create --domain default \ --password-prompt demo(输入此句后会需要设置demo的密码) 创建user角色 openstack role create user 添加user角色到demo项目和用户中 openstack role add --project demo --user demo user 验证操作 1、基于安全的考虑在/etc/keystone/keystone-paste.ini中移除 [pipeline:public_api], [pipeline:admin_api],[pipeline:api_v3] 中的admin_token_auth 2、移除掉一些环境变量 unset OS_AUTH_URL OS_PASSWORD 3、以admin用户的身份请求一个认证令牌 openstack --os-auth-url http://controller:35357/v3 \ --os-project-domain-name default --os-user-domain-name default \ --os-project-name admin --os-username admin token issue (会要求输入admin的密码) 如果出现类似于以下的信息则表示成功 +------------+-----------------------------------------------------------------+ | Field | Value | +------------+-----------------------------------------------------------------+ | expires | 2016-02-12T20:14:07.056119Z | | id | gAAAAABWvi7_B8kKQD9wdXac8MoZiQldmjEO643d-e_j-XXq9AmIegIbA7UHGPv | | | atnN21qtOMjCFWX7BReJEQnVOAj3nclRQgAYRsfSU_MrsuWb4EDtnjU7HEpoBb4 | | | o6ozsA_NmFWEpLeKy0uNn_WeKbAhYygrsmQGA49dclHVnz-OMVLiyM9ws | | project_id | 343d245e850143a096806dfaefa9afdc | | user_id | ac3377633149401296f6c0d92d79dc16 | +------------+-----------------------------------------------------------------+ 3、以demo用户的身份请求一个认证令牌 openstack --os-auth-url http://controller:5000/v3 \ --os-project-domain-name default --os-user-domain-name default \ --os-project-name demo --os-username demo token issue (会要求输入demo的密码) 如果出现类似于以下的信息则表示成功 +------------+-----------------------------------------------------------------+ | Field | Value | +------------+-----------------------------------------------------------------+ | expires | 2016-02-12T20:14:07.056119Z | | id | gAAAAABWvi7_B8kKQD9wdXac8MoZiQldmjEO643d-e_j-XXq9AmIegIbA7UHGPv | | | atnN21qtOMjCFWX7BReJEQnVOAj3nclRQgAYRsfSU_MrsuWb4EDtnjU7HEpoBb4 | | | o6ozsA_NmFWEpLeKy0uNn_WeKbAhYygrsmQGA49dclHVnz-OMVLiyM9ws | | project_id | 343d245e850143a096806dfaefa9afdc | | user_id | ac3377633149401296f6c0d92d79dc16 | +------------+-----------------------------------------------------------------+ 写脚本 由于环境变量会失效(除非你设置在bashrc里面去了,不过这不利于更换用户身份)为了方便,可以创建一些脚本 1、创建admin-openrc文件 export OS_PROJECT_DOMAIN_NAME=default export OS_USER_DOMAIN_NAME=default export OS_PROJECT_NAME=admin export OS_USERNAME=admin export OS_PASSWORD=你的admin密码 export OS_AUTH_URL=http://controller:35357/v3 export OS_IDENTITY_API_VERSION=3 export OS_IMAGE_API_VERSION=2 2、创建demo-openrc文件 export OS_PROJECT_DOMAIN_NAME=default export OS_USER_DOMAIN_NAME=default export OS_PROJECT_NAME=demo export OS_USERNAME=demo export OS_PASSWORD=你的demo密码 export OS_AUTH_URL=http://controller:5000/v3 export OS_IDENTITY_API_VERSION=3 export OS_IMAGE_API_VERSION=2 3、验证一下 source admin-openrc openstack token issue 如果出现类似于以下的信息则表示成功 +------------+-----------------------------------------------------------------+ | Field | Value | +------------+-----------------------------------------------------------------+ | expires | 2016-02-12T20:14:07.056119Z | | id | gAAAAABWvi7_B8kKQD9wdXac8MoZiQldmjEO643d-e_j-XXq9AmIegIbA7UHGPv | | | atnN21qtOMjCFWX7BReJEQnVOAj3nclRQgAYRsfSU_MrsuWb4EDtnjU7HEpoBb4 | | | o6ozsA_NmFWEpLeKy0uNn_WeKbAhYygrsmQGA49dclHVnz-OMVLiyM9ws | | project_id | 343d245e850143a096806dfaefa9afdc | | user_id | ac3377633149401296f6c0d92d79dc16 | +------------+-----------------------------------------------------------------+ 安装并配置Swift服务 环境准备 1、运行脚本 source admin-openrc 2、向Keystone添加swift相关信息 添加swift用户 openstack user create --domain default --password-prompt swift(此处要设置密码) 将admin角色加入到swift用户中 openstack role add --project service --user swift admin 添加swift服务实体 openstack service create --name swift \ --description "OpenStack Object Storage" object-store 添加对象存储服务API的端点(endpoints) openstack endpoint create --region RegionOne \ object-store public http://controller:8080/v1/AUTH_%\(tenant_id\)s openstack endpoint create --region RegionOne \ object-store internal http://controller:8080/v1/AUTH_%\(tenant_id\)s openstack endpoint create --region RegionOne \ object-store admin http://controller:8080/v1 3、安装相关服务 apt install swift swift-proxy python-swiftclient \ python-keystoneclient python-keystonemiddleware \ memcached \ swift swift-account swift-container swift-object 配置proxy服务 1、创建并进入/etc/swift文件夹2、下载proxy-server.conf curl -o /etc/swift/proxy-server.conf https://git.openstack.org/cgit/openstack/swift/plain/etc/proxy-server.conf-sample?h=stable/newton 3、编辑proxy-server.conf [DEFAULT] bind_port = 8080 user = swift swift_dir = /etc/swift [pipeline:main] pipeline = catch_errors gatekeeper healthcheck proxy-logging cache container_sync bulk ratelimit authtoken keystoneauth container-quotas account-quotas slo dlo versioned_writes proxy-logging proxy-server [app:proxy-server] use = egg:swift#proxy account_autocreate = True [filter:keystoneauth] use = egg:swift#keystoneauth operator_roles = admin,user [filter:authtoken] paste.filter_factory = keystonemiddleware.auth_token:filter_factory auth_uri = http://controller:5000 auth_url = http://controller:35357 memcached_servers = controller:11211 auth_type = password project_domain_name = default user_domain_name = default project_name = service username = swift password = 你设置的swift密码 delay_auth_decision = True [filter:cache] use = egg:swift#memcache memcache_servers = controller:11211 配置存储相关服务 1、安装服务 apt install xfsprogs rsync 2、格式化硬盘为XFS格式 (如果不知道硬盘名,可使用fdisk -l查看) mkfs.xfs /dev/硬盘 3、创建挂载节点的文件目录 mkdir -p /srv/node/硬盘 4、在/etc/fstab中添加 /dev/硬盘 /srv/node/硬盘 xfs noatime,nodiratime,nobarrier,logbufs=8 0 2 5、挂载硬盘 mount /srv/node/硬盘 6、创建并编辑文件 /etc/rsyncd.conf mkdir /etc/rsyncd.conf uid = swift gid = swift log file = /var/log/rsyncd.log pid file = /var/run/rsyncd.pid address = 你的IP [account] max connections = 2 path = /srv/node/ read only = False lock file = /var/lock/account.lock [container] max connections = 2 path = /srv/node/ read only = False lock file = /var/lock/container.lock [object] max connections = 2 path = /srv/node/ read only = False lock file = /var/lock/object.lock 7、编辑/etc/default/rsync RSYNC_ENABLE=true 8、启动rsync服务 service rsync start 9、下载配置文件 curl -o /etc/swift/account-server.conf https://git.openstack.org/cgit/openstack/swift/plain/etc/account-server.conf-sample?h=stable/newton curl -o /etc/swift/container-server.conf https://git.openstack.org/cgit/openstack/swift/plain/etc/container-server.conf-sample?h=stable/newton curl -o /etc/swift/object-server.conf https://git.openstack.org/cgit/openstack/swift/plain/etc/object-server.conf-sample?h=stable/newton 10、编辑/etc/swift/account-server.conf [DEFAULT] bind_ip = 你的IP bind_port = 6002 user = swift swift_dir = /etc/swift devices = /srv/node mount_check = True [pipeline:main] pipeline = healthcheck recon account-server [filter:recon] use = egg:swift#recon recon_cache_path = /var/cache/swift 11、编辑/etc/swift/container-server.conf [DEFAULT] bind_ip = 你的IP bind_port = 6001(2.conf为6011) user = swift swift_dir = /etc/swift devices = /srv/node mount_check = True [pipeline:main] pipeline = healthcheck recon container-server [filter:recon] use = egg:swift#recon recon_cache_path = /var/cache/swift 12、编辑/etc/swift/object-server.conf [DEFAULT] bind_ip = 你的IP bind_port = 6000 user = swift swift_dir = /etc/swift devices = /srv/node mount_check = True [pipeline:main] pipeline = healthcheck recon object-server [filter:recon] use = egg:swift#recon recon_cache_path = /var/cache/swift recon_lock_path = /var/lock 13、修改权限 chown -R swift:swift /srv/node/* mkdir -p /var/cache/swift/1 /var/cache/swift/2 chown -R root:swift /var/cache/swift/* chmod -R 775 /var/cache/swift/* 创建并分配初始化环 1、在/etc/swift中执行以下命令 swift-ring-builder account.builder create 10 1 1 swift-ring-builder account.builder add \ --region 1 --zone 1 --ip 你的IP地址 --port 6002 --device 你的硬盘 --weight 100 swift-ring-builder account.builder rebalance swift-ring-builder container.builder create 10 1 1 swift-ring-builder container.builder add \ --region 1 --zone 1 --ip 你的IP地址 --port 6001 --device 你的硬盘 --weight 100 swift-ring-builder container.builder rebalance swift-ring-builder object.builder create 10 1 1 swift-ring-builder object.builder add \ --region 1 --zone 1 --ip 你的IP地址 --port 6000 --device 你的硬盘 --weight 100 swift-ring-builder object.builder rebalance 2、在/etc/swift下下载文件 curl -o /etc/swift/swift.conf \ https://git.openstack.org/cgit/openstack/swift/plain/etc/swift.conf-sample?h=stable/newton 3、执行以下命令两次获得两个字符串 openssl rand -hex 10 4、编辑/etc/swift/swift.conf [swift-hash] swift_hash_path_suffix = 第一个字符串 swift_hash_path_prefix = 第二个字符串 [storage-policy:0] name = Policy-0 default = yes 5、修改权限 chown -R root:swift /etc/swift/* 6、重启服务 service memcached restart service swift-proxy restart 7、启动对象存储服务 swift-init all start 验证swift 1、运行脚本 source demo-openrc 2、获得服务状态 swift stat 显示类似以下信息即成功 Account: AUTH_ed0b60bf607743088218b0a533d5943f Containers: 0 Objects: 0 Bytes: 0 Containers in policy "policy-0": 0 Objects in policy "policy-0": 0 Bytes in policy "policy-0": 0 X-Account-Project-Domain-Id: default X-Timestamp: 1444143887.71539 X-Trans-Id: tx1396aeaf17254e94beb34-0056143bde Content-Type: text/plain; charset=utf-8 Accept-Ranges: bytes 3、创建一个容器 openstack container create 容器名 4、上传一个对象 openstack object create 容器名 对象名 5、获得对象列表 openstack object list 容器名字 6、下载对象 openstack object save 容器名 对象名 也可以用curl或postman验证

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HBase单机及伪分布环境搭建

一.单机模式 1.安装HBase tar -xzvf hbase-0.92.1.tar.gz 2.配置参数 修改hbase-site.xml: <configuration> <property> <name>hbase.rootdir</name> <value>/home/xiongzheng/hadoop/hbase-0.92.1/data</value> </property> </configuration> 3.配置/etc/hosts , 将127.0.0.1改为本地ip 10.17.12.95 localhost 10.17.12.95 xiongzheng-Lenovo 4.启动HBase bin/start-hbase.sh 5.简单操作 bin/hbase shell (1).建立表格user_info,以及两个列族 k、v create 'user_info','k','v' (2).查看表 list (3) 查看表结构 describe 'user_info' (4) 插入行 put 表名,行名,列族名:列名标签,值 put 'user_info','memberId123','v:IP','127.0.0.1' (5) 查询表数据 get 表名,行名 get 'user_info','memberId123' (6) 全表查询 scan 'user_info' (7) 查看表中某列族所有数据 scan 'user_info',{COLUMNS => 'v'} (8) 删除表 disable 'user_info' drop 'user_info' 二.伪分布式运行模式 1.安装HBase tar -xzvf hbase-0.92.1.tar.gz 2.配置参数 编辑hbase-0.92.1/conf/hbase-env.sh,添加环境变量 exportJAVA_HOME=/System/Library/Frameworks/JavaVM.framework/Versions/1.6.0/Home exportHBASE_CLASSPATH=~/Hadoop-1.0.3/conf 注意:HBASE_CLASSPATH的值是Hadoop_HOME目录下的conf目录 编辑hbase-0.92.1/conf/hbase-site.xml,按如下配置 <configuration> <property> <name>hbase.rootdir</name> <value>hdfs://localhost:9000/hbase</value> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> </configuration> 注意:hbase.rootdir的value中,hdfs://localhost:9000是Hadoop配置文件core-site.xml中fs.default.name的值。 3.先启动Hadoop,启动HBase hbase-0.92.1/bin/start-hbase.sh

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lnmp团队开发环境docker环境搭建

docker-compose-nginx-php-mysql docker-compose+nginx+php+mysql+redis+elasticsearch fox.风 github库 https://github.com/foxiswho/docker-compose-nginx-php-mysql 喜欢的同学可自行下载 版本 php:5.6.x mysql:5.6.x nginx:latest elasticsearch:latest 说明 目前只针对MAC系统的安装,其他系统请自定修改 Volumes 和 Users 目录 安装方式 1.选择要安装的系统和版本 例如:mac系统 php5.6.x版本,进入mac-php56目录 cd mac-php56 2.docker-compose.yml配置更改 选择你需要的功能,不需要的用#号注释掉 3.生成镜像 这个时候 一定不能更换目录。 注意 如果你以前已经配置过一样的容器那么会自动覆盖容器 docker-compose up 时间比较长, 更新源都在国外,最好早晨拉取 nginx 配置文件位置:/etc/nginx/nginx.conf 来源:官方源 php 来源:官方源 php-fpm 配置文件及目录位置 /usr/local/etc/php-fpm.conf /usr/local/etc/php-fpm.d/www.conf /usr/local/etc/php-fpm.d 目录 php.ini 默认加载目录位置 /usr/local/etc/php/conf.d/ 目录 redis 来源:官方源 elasticsearch 来源:官方源 使用教程-MAC系统 新建目录 /Volumes/work/lanmps/vhost/ work:分区名称 lanmps:自定义目录 vhost:nginx 站点配置文件 复制 nginx/default.conf 到 /Volumes/work/lanmps/vhost/ 目录下 1.mac硬盘设置 mac 系统默认硬盘 不区分大小写, 如果需要区分请 按 http://blog.csdn.net/fenglailea/article/details/53083785 此链接中教程 重新分区。 建议分区,我这里是分区的 2.nginx 配置 进入nginx容器 docker exec -it compose_nginx_1 bash compose_nginx_1 容器名字可能不一样 注意 自动生成的名字是根据当前项目目录名字来的。 例如项目目录为mac-php56目录,那么生成容器前缀名字是macphp56_xxxx 配置nginx.conf vim /etc/nginx/nginx.conf 找到如下配置 include /etc/nginx/conf.d/*.conf; 修改为:(根据你自己分区名称置修改) include /Volumes/work/lanmps/vhost/*.conf; 保存和退出容器 3.php 配置 略 跟nginx类似 5.测试 在 /Volumes/work/lanmps/ 目录下 新建 index.php <?php phpinfo(); X.问题 X.1 权限问题 设置 可读写执行权限 chmod -R 777 /Volumes/work/lanmps

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Ganglia+Hadoop+Hbase监控搭建流程

Hadoop集群基本部署完成,接下来就需要有一个监控系统,能及时发现性能瓶颈,给故障排除提供有力依据。监控hadoop集群系统好用的比较少,自身感觉ambari比较好用,但不能监控已有的集群环境,挺悲催的。ganglia在网上看到原生支持Hadoop、Hbase性能监控,试用一段时间感觉还不错,监控项比较全面,配置简单,软件包在epel网络源中,使用yum安装方便快捷。Ganglia是一个开源集群监控系统,主要用来监控系统性能,如:cpu、mem、硬盘利用率、I/O负载、网络流量等。Ganglia涉及到三个组件:gmond:被监控端代理程序,用于收集监控信息,并发送给gmetad。gmetad:定期从gmond获取数据,并将数据存储到RRD存储引擎中。ganglia-web:WEB前端,RRD绘图后通过PHP展示。 1.CentOS6 YUM源自带epel网络源,直接安装[root@sht-sgmhadoopnn-01 ~]# yum install epel-release[root@sht-sgmhadoopnn-01 ~]# yum install ganglia-web ganglia-gmetad ganglia-gmond 2.配置监控程序[root@sht-sgmhadoopnn-01 ~]# vi /etc/ganglia/gmetad.confdata_source "hadoop_hbase_cluster" 172.16.101.55:8649 172.16.101.56:8649 172.16.101.58:8649 172.16.101.59:8649 172.16.101.60:8649case_sensitive_hostnames 1setuid_username "root"gridname "MyGrid" 3.关联Apache,因为Ganglia自创建的配置ganglia.conf有问题,所以先删除,再创建个软连接到Apache根目录下[root@sht-sgmhadoopnn-01 ~]# rm /etc/httpd/conf.d/ganglia.conf rm: remove regular file `/etc/httpd/conf.d/ganglia.conf'? y[root@sht-sgmhadoopnn-01 ~]# ln -s /usr/share/ganglia /var/www/html/ganglia[root@sht-sgmhadoopnn-01 ~]# 4.启动Apache和Ganglia,并设置开机启动 [root@sht-sgmhadoopnn-01 ~]# chown -R root:root /var/lib/ganglia [root@sht-sgmhadoopnn-01 ~]# service httpd startStarting httpd: [ OK ][root@sht-sgmhadoopnn-01 ~]# service gmetad startStarting GANGLIA gmetad: [ OK ][root@sht-sgmhadoopnn-01 ~]# 5.安装与配置被监控端(每台同样配置)# yum install ganglia-gmond# vi /etc/ganglia/gmond.conf globals { daemonize = yes setuid = yes user = root ##root debug_level = 0 max_udp_msg_len = 1472 mute = no deaf = no allow_extra_data = yes host_dmax = 86400 /*secs. Expires (removes from web interface) hosts in 1 day */ host_tmax = 20 /*secs */ cleanup_threshold = 300 /*secs */ gexec = no # By default gmond will use reverse DNS resolution when displaying your hostname # Uncommeting following value will override that value. # override_hostname = "mywebserver.domain.com" # If you are not using multicast this value should be set to something other than 0. # Otherwise if you restart aggregator gmond you will get empty graphs. 60 seconds is reasonable send_metadata_interval = 0 /*secs */ } cluster{ name = "hadoop_hbase_cluster" #集群名,和上面那个一样 owner = "root" ##root latlong = "unspecified" url = "unspecified"} /* Thehost section describes attributes of the host, like the location */host { location = "unspecified"} /*Feel free to specify as many udp_send_channels as you like. Gmond used to only support having a single channel*/udp_send_channel{ #bind_hostname = yes # Highly recommended,soon to be default. # This option tells gmond to use asource address # that resolves to themachine's hostname. Without # this, the metrics mayappear to come from any # interface and the DNSnames associated with # those IPs will be usedto create the RRDs. #mcast_join = 239.2.11.71 #关闭多播 host = 172.16.101.55 #添加发送IP/主机名 port = 8649 #默认端口 ttl = 1} /* Youcan specify as many udp_recv_channels as you like as well. */udp_recv_channel{ #mcast_join = 239.2.11.71 port = 8649 bind = 172.16.101.55 #------------ 本机的ip/hostname 接收地址 retry_bind = true # Size of the UDP buffer. If you are handlinglots of metrics you really # should bump it up to e.g. 10MB or evenhigher. # buffer = 10485760}…… 6.同步[root@sht-sgmhadoopnn-01 ~]# scp /etc/ganglia/gmond.conf root@sht-sgmhadoopnn-02:/etc/ganglia/gmond.confgmond.conf 100% 8769 8.6KB/s 00:00 You have mail in /var/spool/mail/root[root@sht-sgmhadoopnn-01 ~]# scp /etc/ganglia/gmond.conf root@sht-sgmhadoopdn-02:/etc/ganglia/gmond.confgmond.conf 100% 8769 8.6KB/s 00:00 [root@sht-sgmhadoopnn-01 ~]# scp /etc/ganglia/gmond.conf root@sht-sgmhadoopdn-01:/etc/ganglia/gmond.confgmond.conf 100% 8769 8.6KB/s 00:00 [root@sht-sgmhadoopnn-01 ~]# scp /etc/ganglia/gmond.conf root@sht-sgmhadoopdn-03:/etc/ganglia/gmond.confgmond.conf 100% 8769 8.6KB/s 00:00 #### 修改各个节点的gmond.conf的bind 为本节点ip 7.运行gmond (每台节点)[root@sht-sgmhadoopnn-01 ~]# service gmond start[root@sht-sgmhadoopnn-02 ~]# service gmond start[root@sht-sgmhadoopdn-01 ~]# service gmond start[root@sht-sgmhadoopdn-02 ~]# service gmond start[root@sht-sgmhadoopdn-03 ~]# service gmond start 8.添加Hadoop被Ganglia监控,去掉文件中以***释并修改(每台同样配置)[root@sht-sgmhadoopnn-01 ~]# vi $HADOOP_HOME/etc/hadoop/hadoop-metrics2.properties*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31*.sink.ganglia.period=10*.sink.ganglia.supportsparse=true*.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both*.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40namenode.sink.ganglia.servers=172.16.101.55:8649 #当有多个ganglia监控系统时,以逗号分隔datanode.sink.ganglia.servers=172.16.101.55:8649 #都指定ganglia服务器resourcemanager.sink.ganglia.servers=172.16.101.55:8649nodemanager.sink.ganglia.servers=172.16.101.55:8649 [root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.properties sht-sgmhadoopnn-02:/hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.propertieshadoop-metrics2.properties 100% 3183 3.1KB/s 00:00 You have new mail in /var/spool/mail/root[root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.properties sht-sgmhadoopdn-03:/hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.propertieshadoop-metrics2.properties 100% 3183 3.1KB/s 00:00 [root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.properties sht-sgmhadoopdn-02:/hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.propertieshadoop-metrics2.properties 100% 3183 3.1KB/s 00:00 [root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.properties sht-sgmhadoopdn-01:/hadoop/hadoop-2.7.2/etc/hadoop/hadoop-metrics2.propertieshadoop-metrics2.properties 100% 3183 3.1KB/s 00:00 [root@sht-sgmhadoopnn-01 ~]# 9.添加HBase被Ganglia监控,添加如下(每台同样配置)[root@sht-sgmhadoopnn-01 ~]# vi /hadoop/hbase/conf/hadoop-metrics2-hbase.properties *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31 *.sink.ganglia.period=10 hbase.sink.ganglia.period=10 hbase.sink.ganglia.servers=172.16.101.55:8649 [root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hbase/conf/hadoop-metrics2-hbase.properties sht-sgmhadoopnn-02:/hadoop/hbase/conf/hadoop-metrics2-hbase.properties[root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hbase/conf/hadoop-metrics2-hbase.properties sht-sgmhadoopdn-01:/hadoop/hbase/conf/hadoop-metrics2-hbase.properties[root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hbase/conf/hadoop-metrics2-hbase.properties sht-sgmhadoopdn-02:/hadoop/hbase/conf/hadoop-metrics2-hbase.properties[root@sht-sgmhadoopnn-01 ~]# scp /hadoop/hbase/conf/hadoop-metrics2-hbase.properties sht-sgmhadoopdn-03:/hadoop/hbase/conf/hadoop-metrics2-hbase.properties 10.查看http://172.16.101.55/ganglia

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在archlinux上搭建twitter storm cluster

有关archlinux基本系统安装,请参照archlinux简明安装指南一文,下面以上述为基础讲解如何一步步安装twitter storm cluster. 先列出安装主要步骤 安装oracle jdk 安装必须的编译工具gcc, g++, make 安装python2.7, unzip 编译安装zeromq 编译安装jzmq 下载lein 下载storm-starter 下载storm release版本安装zookeeper为了自动运行storm cluster,安装supervisord 安装oracle jdk 在linux平台上标配的java是openjdk,如果要安装oracle的jdk的话,需要从官方下载相应的安装包。使用archlinux幸福的一点就是有yaourt,一切可以变得非常简单,:). #yaourt -S jdk 注意安装完的java路径,应该是在/opt/java,这个后面会用到。 修改/etc/profile, 添加环境变量JAVA_HOME,为PATH添加/opt/java/bin PATH="/usr/local/sbin:/usr/local/bin:/usr/bin:/opt/java/bin" export PATH export JAVA_HOME="/opt/java" 安装编译工具 在twitter storm中会使用zeromq,因为zeromq是用c&c++编写的,所以需要安装相应的编译工具,不要使用archlinux中的版本,因为目前pacman或aur中的zeromq版本是3.x,而twitter storm中需要的zeromq是2.1.7 #pacman -S gcc g++ libtool pkg-config make autoconf git util-linux 安装python2.7, unzip #pacman -S python2 unzip 编译安装zeromq,jzmq 从http://download.zeromq.org/zeromq-2.1.7.tar.gz下载zeromq 2.1.7 #tar zvxf zeromq-2.1.7.tar.gz #config #make #make install 安装的路径是/usr/local/lib 编译安装jzmq #git clone https://github.com/nathanmarz/jzmq.git #cd jzmq #./autogen.sh #./configure --with-zeromq=/usr/local #make 注意,此处可能会出错,解决办法是修改jzmq/src/Makefile.am,将classdist_noinst.stamp修改为classnoinst.stamp #make install 安装完zeromq和jzmq之后,修改/etc/ld.so.conf,在该文件中添加如下一行 /usr/local/lib 然后运行 #ldconfig 为了验证libjzmq确实使用的zeromq是自行编译的版本,可使用如下命令进行检测。 #ldd /usr/local/lib/libjzmq.so linux-gate.so.1 (0xb779e000) libzmq.so.1 => /usr/local/lib/libzmq.so.1 (0xb7749000) libuuid.so.1 => /usr/lib/libuuid.so.1 (0xb7743000) librt.so.1 => /usr/lib/librt.so.1 (0xb773a000) libpthread.so.0 => /usr/lib/libpthread.so.0 (0xb771e000) libstdc++.so.6 => /usr/lib/libstdc++.so.6 (0xb7635000) libm.so.6 => /usr/lib/libm.so.6 (0xb75ee000) libc.so.6 => /usr/lib/libc.so.6 (0xb743e000) libgcc_s.so.1 => /usr/lib/libgcc_s.so.1 (0xb7422000) /usr/lib/ld-linux.so.2 (0xb779f000) 如果libzmq.so.1确实指向/usr/local/lib中的版本,则说明版本使用正确。 安装storm-starter storm-starter是由storm的作者为了storm的初学者快速上手而创建的一个github项目。 #git clone https://github.com/nathanmarz/storm-starter.git 编译运行, 注意这是运行在local模式而非常cluster模式 #lein deps #lein compile #java -cp $(lein classpath) storm.starter.ExclamationTopology 注: 直接从http://leiningen.org/下载lein script,而非直接使用pacman或yaourt来安装 #chmod +x ./lein #cp ./lein /usr/local/bin #export LEIN_ROOT=1 如果想以root来运行lein,需要设置该变量 安装zookeeper #yaourt -S zookeeper 作简单的配置,修改文件/etc/zookeeper/zoo.cfg,使其内容如下所示 #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=/var/lib/zookeeper # the port at which the clients will connect clientPort=2181 因为zookeeper只对IPv6地址进行监听,为了强制其只监听IPv4地址,需要修改/opt/zookeeper-3.4.5/bin/zkServer.sh,在start)一节中加入"-Djava.net.preferIPv4Stack=true",整体看起来如下所示 case $1 in start) echo -n "Starting zookeeper ... " if [ -f $ZOOPIDFILE ]; then if kill -0 `cat $ZOOPIDFILE` > /dev/null 2>&1; then echo $command already running as process `cat $ZOOPIDFILE`. exit 0 fi fi nohup $JAVA "-Dzookeeper.log.dir=${ZOO_LOG_DIR}" "-Dzookeeper.root.logger=${ZOO_LOG4J_PROP}" \ "-Djava.net.preferIPv4Stack=true" \ -cp "$CLASSPATH" $JVMFLAGS $ZOOMAIN "$ZOOCFG" > "$_ZOO_DAEMON_OUT" 2>&1 < /dev/null & if [ $? -eq 0 ] then if /bin/echo -n $! > "$ZOOPIDFILE" then sleep 1 echo STARTED else echo FAILED TO WRITE PID exit 1 fi else echo SERVER DID NOT START exit 1 fi ;; 注意蓝底红字的一行。 启动zookeeper #/opt/zookeeper-3.4.5/bin/zkServer.sh start 下载安装storm 从storm-project.net下载storm-0.8.2,将其解压到/opt目录下 #unzip storm-0.8.2.zip 修改/opt/storm-0.8.2/conf/storm.yaml, 文件内容如下 ########### These MUST be filled in for a storm configuration storm.zookeeper.servers: - "localhost" # - "server2" # nimbus.host: "localhost" # # # ##### These may optionally be filled in: # ## List of custom serializations # topology.kryo.register: # - org.mycompany.MyType # - org.mycompany.MyType2: org.mycompany.MyType2Serializer # ## List of custom kryo decorators # topology.kryo.decorators: # - org.mycompany.MyDecorator # ## Locations of the drpc servers # drpc.servers: # - "server1" # - "server2" ## Metrics Consumers # topology.metrics.consumer.register: # - class: "backtype.storm.metrics.LoggingMetricsConsumer" # parallelism.hint: 1 # - class: "org.mycompany.MyMetricsConsumer" # parallelism.hint: 1 # argument: # - endpoint: "metrics-collector.mycompany.org" java.library.path: "/usr/local/lib:/usr/local/share/java" supervisor.slots.ports: - 6700 - 6701 注意: yaml要求配置项必须以空格打头 修改storm脚本,将#!/usr/bin/python改为#!/usr/bin/python2, /usr/bin/python是指向python3的所以需要显示将其改为python2 准备运行cluster模式了 #/opt/storm-0.8.2/bin/storm nimbus #/opt/storm-0.8.2/bin/storm supervisor #/opt/storm-0.8.2/bin/storm ui 上述每条指令需要单独运行在一个终端,如果ui启动成功,可以使用浏览器来访问localhost:8080查看整个cluster的状况了。 部署Topology到cluster #./storm jar $HOME/working/storm-starter/target/storm-starter-0.0.1-SNAPSHOT-standalone.jar storm.starter.ExclamationTopology exclamationTopology 一切顺利的话,应该可以看到类似的输出 0 [main] INFO backtype.storm.StormSubmitter - Jar not uploaded to master yet. Submitting jar... 91 [main] INFO backtype.storm.StormSubmitter - Uploading topology jar /root/working/storm-starter/target/storm-starter-0.0.1-SNAPSHOT-standalone.jar to assigned location: storm-local/nimbus/inbox/stormjar-c73d28f0-68fc-4e6e-98b5-c4d1355aa94f.jar 667 [main] INFO backtype.storm.StormSubmitter - Successfully uploaded topology jar to assigned location: storm-local/nimbus/inbox/stormjar-c73d28f0-68fc-4e6e-98b5-c4d1355aa94f.jar 670 [main] INFO backtype.storm.StormSubmitter - Submitting topology exclamationTopology in distributed mode with conf {"topology.workers":3,"topology.debug":true} 2449 [main] INFO backtype.storm.StormSubmitter - Finished submitting topology: exclamationTopology 自动化运行storm cluster 每次都要手工启动storm cluster并不是一件很令人愉快的事,最好是能自动启动。解决办法总是有的,使用python supervisor即可。 #pacman -S supervisor #mkdir -p /var/log/storm 修改supervisor配置文件,在文件最后添加如下内容 [program:storm-nimbus] environment=JAVA_HOME=/opt/java, PATH="/usr/sbin:/usr/bin:/usr/local/bin:/opt/java/bin" command=/opt/storm-0.8.2/bin/storm nimbus ;;user=storm autostart=true autorestart=true startsecs=10 startretries=999 log_stdout=true log_stderr=true logfile=/var/log/storm/nimbus.out logfile_maxbytes=20MB logfile_backups=10 [program:storm-supervisor] environment=JAVA_HOME=/opt/java, PATH="/usr/sbin:/usr/bin:/usr/local/bin:/opt/java/bin" command=/opt/storm-0.8.2/bin/storm supervisor ;;user=storm autostart=true autorestart=true startsecs=10 startretries=999 log_stdout=true log_stderr=true logfile=/var/log/storm/supervisor.out logfile_maxbytes=20MB logfile_backups=10 注: 在上述配置中显示加入了environment一行,主要是为了解决可执行文件搜索路径的问题,否则会报错说无法找到java可执行程序因其不在标准路径/usr/bin, /usr/sbin, /usr/local/bin, /usr/local/sbin中。 启动supervisord #systemctl start supervisord 想开机自动运行supervisord的话,执行如下指令 #systemctl enable supervisord 参考资料 Running a Multi-Node Storm Clusterhttp://www.michael-noll.com/tutorials/running-multi-node-storm-cluster/

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Python开发环境之pyenv环境搭建

首先到Github上下载Pyenv相应的一键安装脚本, $curl-Lhttps://raw.githubusercontent.com/yyuu/pyenv-installer/master/bin/pyenv-installer|bash 安装完毕,设置环境变量,设置环境变量,可以添加到个人家目录的.bashrc或.bash_profile及系统的全 局的/etc/profile, #Loadpyenvautomaticallybyadding #thefollowingto~/.bash_profile: exportPATH="/home/lavenliu/.pyenv/bin:$PATH" eval"$(pyenvinit-)" eval"$(pyenvvirtualenv-init-)" 设置完毕之后,可以在命令行进行验证, [lavenliu@VM_113_230_centos~]$.~/.bash_profile [lavenliu@VM_113_230_centos~]$pyenv pyenv20160726 Usage:pyenv<command>[<args>] Someusefulpyenvcommandsare: commandsListallavailablepyenvcommands localSetorshowthelocalapplication-specificPythonversion globalSetorshowtheglobalPythonversion shellSetorshowtheshell-specificPythonversion installInstallaPythonversionusingpython-build uninstallUninstallaspecificPythonversion rehashRehashpyenvshims(runthisafterinstallingexecutables) versionShowthecurrentPythonversionanditsorigin versionsListallPythonversionsavailabletopyenv whichDisplaythefullpathtoanexecutable whenceListallPythonversionsthatcontainthegivenexecutable See`pyenvhelp<command>'forinformationonaspecificcommand. Forfulldocumentation,see:https://github.com/yyuu/pyenv#readme 以上都没有问题。比如,安装一个3.5.2的版本Python, pyenvinstall3.5.2 如果下载速度慢的话,可以事先下载之,放到~/.pyenv/cache目录即可。修改~/.pyenv/plugins/python-build/share/python-build/3.5.2文件, cat~/.pyenv/plugins/python-build/share/python-build/3.5.2 #require_gcc install_package"openssl-1.0.2g""https://www.openssl.org/source/openssl-1.0.2g.tar.gz#b784b1b3907ce39abf4098702dade6365522a253ad1552e267a9a0e89594aa33"mac_openssl--ifhas_broken_mac_openssl install_package"readline-6.3""http://ftpmirror.gnu.org/readline/readline-6.3.tar.gz#56ba6071b9462f980c5a72ab0023893b65ba6debb4eeb475d7a563dc65cafd43"standard--ifhas_broken_mac_readline ifhas_tar_xz_support;then install_package"Python-3.5.2""~/.pyenv/cache/Python-3.5.2.tar.gz"ldflags_dirsstandardverify_py35ensurepip else install_package"Python-3.5.2""~/.pyenv/cache/Python-3.5.2.tar.gz"ldflags_dirsstandardverify_py35ensurepip fi 由于没有~/.pyenv/cache目录,进行手工创建, $mkdir~/.pyenv/cache 如果使用手工安装,则需要安装一些依赖, #yuminstall-ygccmakepatchgdbm-developenssl-develsqlite-develzlib-develbzip2-develreadline-devel 需要事先准备好Python-3.5.2.tar.gz的安装包,放到~/.pyenv/cache目录下。然后,在命令行直接使用pyenv install 3.5.2即可, $pyenvinstall3.5.2 安装完毕,使用version命令进行查看, pyenvversion 3.5.2(setby/home/lavenliu/.python-version) 至此,已经安装完毕。

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