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Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)

Redis是什么 Redis是一个NOSQL，NOSQL有许多种，它们分为： 列存储，如：Hbase、Cassandra这种 文档存储，如：MongoDB（首推） key-value存储，如：Berkeley DB、MemcacheDB、Redis，其中Redis最强 图存储，这块基本不用，有：Neo4j、Versant XML存储，如：Berkeley DB Xml还有XBASE，ORACLE很早已经支持这种存储方式了 光知道这些NOSQL的名词是没有用的，关键在于要知道在哪种场景下选用哪种NOSQL才是我们真正要去掌握的。 我们这边说Redis就拿Redis说事吧，它能干什么呢？ Redis基础应用场景 web间session共享，即多个war工程共享一个session 分布式缓存，因为redis为键值对，而且它提供了丰富的adapter可以支持到C、.net、java客户端，因此对于异质平台间进行数据交换起到了作用，因此它可以用作大型系统的分布式缓存，并且其setnx的锁常被用于”秒杀“，”抢红包“这种电商活动场景中。 安装Redis 我本来想在这儿写”Redis上的‘坑‘“，最后我还是觉得把它放到后面章节中去写吧，因为中国人的思维是先有感性再有理性的一种逆向思维，其实这点很像美国人，因此中国人在世界上是最聪明的民族之一，所以我们还是先从动手搭一个Redis的环境来说起吧，老规矩，红色加粗很重要。 一定要使用Linux来布署Redis，请不要偷懒使用Redis 2.8.1 for windows那个版本，如果你使用了这个版本你将无法跟上这一系列教程的步伐。因为Redis为GCC+这样的东西开发出来的，它天生就是运行在LINUX/Unix环境下的，而那个windows版的Redis是一个”烟“割版，而且是一个unofficial的版本，非官方授权的哈。 先从Docker开始 如果已经有Linux/Unix环境的同协们可以直接跳过这一章。 我们这边要开始变态了，因为我们要真正开始踏上SOA、PAAS、互联网的脚步了。 如果对于没有Linux/Unix环境的用户来说，我在这边推荐使用docker，即boot2docker windows版来安装，它下载后是一个这样的文件 安装前把你的网络连接中的IPV6协议前的勾去掉 双击它，在安装时记得选择Virtual-Box选项，因为docker本为linux/unix下之物，因此为了在windows下使用docker，boot2docker内嵌了一个virtualbox来虚拟docker的环境。 装完后它会在你的桌面上生成一个蓝色的图标，双击它，它会打开一个绿色的字，黑色的背景像matrix电影里的那种命令行窗口，这就是Docker。 装完后运行： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker@boot2docker:~$ docker run hello-world 看到下面这些提示 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 Hello from Docker. This message shows that your installation appears to be working correctly. To generate this message, Docker took the following steps: 1. The Docker client contacted the Docker daemon. 2. The Docker daemon pulled the “hello-world” image from the Docker Hub. (Assuming it was not already locally available.) 3. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. 4. The Docker daemon streamed that output to the Docker client, which sent it to your terminal. To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash For more examples and ideas, visit: http://docs.docker.com/userguide/ 说明你的Docker安装成功了。 在Docker中安装unix环境 有了Docker我们就用Docker虚拟一个Ubuntu（UNIX）环境吧，在这边我们使用的是Ubuntu14。 ubuntu14请下载这个包：戳: 下载Ubuntu14包 下载后直接在docker下运行下面这条命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 cat ubuntu-14.04-x86_64.tar.gz |docker import - ubuntu:ubuntu14 这个过程会很快，完成后查看自己的image： 成功导入了ubuntu，这样我们就可以在Docker中运行出一个自己的ubuntu了。 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker run -i -t ubuntu:ubuntu14 /bin/bash 以上运行后，进入了该ubuntu的bash环境。 注：如果上述命令出错，可以使用下面这条命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker run -i -t ubuntu:ubuntu14 //bin/bash 两个 “/” 哈 如果你能看到类似于root@ubuntu14_这样的命令行界面说明你的ubuntu14也已经安装成功了，下面我们就要在这个docker->ubuntu14中安装和布署我们的Redis了，这个过程和在Linux下一样。 在ubuntu14下先安装SSHD，以便于我们使用WINSCP这样的SFTP工具来管理我们的ubuntu14中的文件系统 在ubuntu14中安装SSHD 第一步： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker run -t -i ubuntu/mk:v1 /bin/bash 进入我们的ubuntu环境，这边的ubuntu/mk就是我本机的docker中ubuntu14 container（容器）的名字，如果按照上面的延续此处可以替换成ubuntu:ubuntu14这个名字吧。 第二步： 升级一下你的apt-get，它就是一个命令行IE下载工具，如果你不update，那么你apt-get的源、内核都为旧的，因此为了升级apt-get请键入下面的命令 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 apt-get update 这个过程很快（依赖于你的网络环境） 第三步： 下载和安装openssh组件 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 apt-get install openssh-server openssh-client 第四步： 修改你的root密码 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 passwd 键入两次你的root密码，我这边都为6个小写的a 第五步： 退出容器，并保存以上修改，如果docker在退出后你接着退出docker环境或者是关机那么刚才的4步全部不生效，你一定要commit它才能生效，为此： 你先要知道你刚才用docker run命令运行的ubuntu14的容器的ID，你可以使用 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker ps -a 来查到你latest的一次容器的ID，它是一组16进制一样的编码如：1edfb9aabde8890，有了这个container id我们就可以commit我们刚才装的openssh的环境了 commit刚才在容器中所做的修改 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker commit 1edfb9aabde8890 ubuntu:ssh 第六步： 运行带有openssh的ubuntu14以便于我们使用winscp这样的SFTP工具连入我们的ubuntu14中去，依次输入下面的命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker kill $(docker ps -q) 杀掉正在运行的所有的container的进程 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker rm $(docker ps -a -q) 删除所有在进程中的容器，以上2步又被称为docker大扫除 Docker是这样的机制的，它可以开启多个容器，每个容器带着一堆的image（镜像），要删一个镜像必须先停止这个镜像所在的容器，再把这个镜像删除，因此我们使用上面这两条命令对于Docker来一个大扫除。 接着我们先查一下我们目前手头有的镜像 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker images 你会看到一个images列表，里面有我们的ubuntu:14，有我们的ubuntu:ssh也有一个hello-world，我们把ubuntu:14这个镜像删了吧（为了保持干净哈） 每个image也它自己的id，即image id，因此你用docker images命令查到该镜像的id后可以使用： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker rmi imageid 这条命令把一个不用的镜像给删了。 接下去我们要启动我们的ubuntu14:ssh了，可以使用下面这条命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker -d -p 122:22 ubuntu:ssh //usr/sbin/sshd -D 这条命令的意思为： -d即把我们的image启动在后台进程，它将会是一个daemon进程，而不会像刚才我们使用-t一样，一旦exit后该image进程也自动退出了 -p为端口映射，什么意思呢，这边要说一下docker的端口映射问题。我们知道docker安装后它会利用virtualbox中的vhost only的nat机制来建立一个虚拟的IP 可以打开我们的virtualbox中在菜单”全局->设定->网络”中进行查找 所以我们可以知道一旦boot2docker环境运行后它的地址为192.168.56.*这个段，一般为192.168.56.101这个地址，你可以在boot2docker启动后直接使用winscp边入这个docker环境。 地址：192.168.56.101 端口：22 用户名：docker 密码：tcuser 以上为默认值，具体地址按照你的virtualbox中在boot2docker安装时自动给出的设置来做参考。 而， 我们在这个docker中安装了一个ubuntu14:ssh的image，然后用后台进程的方式打开了这个ubuntu14:ssh，因此它自己也有一个IP（可能是172也可能是169段），具体不得而知，一般来说它是每次启动镜像后自己变换的（可以使用动态网络域名绑定docker中镜像的ip来达到域名不变的目的-集群环境下有用）。 我们都知道ssh是以端口22来进行TCP连接的，因此我们把ubuntu14的IP上的22端口映射到了我们的docker主机192.168.56.101上的122端口。 参数//usr/sbin/sshd -D代表该镜像启动会的entrypoint即启动后再启动一个什么命令，在最后的-D（大写的D）告诉docker这是一个启动文件 于是，一旦该命令发出后，显示image启动的提示后（启动后你会得到一个image id）你就可以直接打开你的winscp使用： 地址：192.168.56.101 端口：122 （此处是122，不是22，因为我们把image的22端口映射到了192.168.56.101-docker主机上的122端口了） 用户名：root 密码：aaaaaa 即可以连入我们的ubuntu14环境了，如果此时你安装了putty还可以使用putty+winscp直接进入ubuntu14的命令行环境中去，于是你就有ubuntu14的试验环境了。 在ubuntu14下安装redis 网上很多在ubuntu14下安装redis的教程都不对的，大家看了要上当的，原因在于如下，请各位看完： 网上的redis环境搭建直接使用的是apt-get update完后用wget https://github.com/ijonas/dotfiles/raw/master/etc/init.d/redis-server 这样的方式来安装的，这样装固然方便，可是也因为方便所以取到的redis不是最新的redis版本，一般为2.8.x版或者是redis3.0.rc，这依赖于你的unit/linux所连接的wget库 redis为c写成，它的2.4-2.8版都为不稳定版或者是缺少功能或者是有bug，而这些bug在你如果真正使用redis作为网站生产环境时将会因为这些bug而无法面对峰涌而来的巨大并发，因此当有这样的redis运行了一段时间后你的生产环境会面临着巨大的压力 还是redis不够新不够稳定的原因，由于在redis3前redis还不支持集群、主备高可用方案的功能，因此不得不依靠于繁杂的打补丁式的如：linux/unix-keepalive或者是haproxy这种系统级层面然后写一堆的复杂脚本去维护你的redis集群，还要用外部手段（Linux/Unix Shell脚本）去维护多个redis节点间的缓存数据同步。。。这这这。。。不复合我们的网站扩容、增量、运维和面对巨大用户（万级并发-最高支持百万用户如：新浪微博、微信）的场景 因此，我在这边推荐大家使用下面我将要使用的“下载源码包结合你本机的Linux/Unix内核进行实时编译”的安装过程。 第一步：下载redis目前最稳定版本也是功能最完善，集群支持最好并加入了sentinel（哨兵-高可用）功能的redis3.0.7版即redis-stable版，为此我们需要获取redis-stable版 redis官方下载连接 就是用的这个redis-stable.tar.gz包，这是我在写博客时目前最新最稳定版本，修复了大量的BUG和完善了功能。 第二步： 下载后我们把该包上传到我们的docker中的ubuntu14中，我们把它放在/opt目录下 然后我们使用tar -zxvf redis-stable.tar.gz对它进行解压 解压后它就会生成一个redis-stable目录，进入该目录 cd redis-stable 别急，我们先一会编译和安装它 第三步：编译安装redis 我们先输入gcc -v 这个命令来查看我们的gcc版本，如果它低于4.2以下那么你在编译redis3.0.7时一定会碰到大量的出错信息，如前面所述，redis为gcc写成，最新的redis需要gcc4.2-5这个版本才能进行编译，而一般去年或者之前装的linux/unix 的 gcc都为4.0以下或者甚至是3.x版。 升级GCC先 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 apt-get install build-essential 因此apt-get update显得很重要，要不然你获取的gcc也将不是最新的版本，目前我的gcc为5.3.1为这周刚做的升级。 升级后我们开始编译redis3.0.7了，为此我们需要在redis-stable目录下 键入如下命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 make PREFIX=/usr/local/redis1 install 我们告知我们的GCC把redis-stable编译并同时安装在/usr/local/redis1目录下 这个过程很快，可能只有10秒钟时间（依据你的机器来说，建议使用>=8gb, 4核CPU的PC机），然后我们就可以看到everything ok了。我们进入/usr/local/redis1就可以看到我们刚才安装的redis3.0.7稳定版了。 我们进入我们的redis目录 cd /usr/local/redis1/bin 在此目录下我们即可以运行我们的redis server了，不过请别急，在启动前我们需要对redis进行一些配置。 我的博客面对的是“全栈式”工程师的，架构师只是成为全栈式工程师中的一个起点，如果你不会搭环境那么你就不能接触到最新的技术，因此这就是许多程序员工作了近5年，7年结果发觉也只会一个SSH的主要原因。 Redis3配置要领 使用winscp通过122连入docker下的ubuntu14，进行redis的配置。 我们需要编辑的文件为/usr/local/redis1/bin/redis.conf这个文件 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 daemonize yes # When running daemonized, Redis writes a pid file in /var/run/redis.pid by # default. You can specify a custom pid file location here. pidfile "/var/run/redis/redis1.pid" # Accept connections on the specified port, default is 6379. # If port 0 is specified Redis will not listen on a TCP socket. port 7001 我们把: daemonize设为yes，使得redis以后台进程的方式来运行，你可以认为为“server”模式，如果redis以server模式运行的话它会生成一个pid文件 ，因此我们把它的路径放在/var/run/redis目录中，并命名它为redis1.pid文件 ，为此你需要在/var/run目录下建立redis这个目录 端口号我们把它设为7001，这样好辩识，因为将来我们会进一步做redis集群，所以我们的redis都为redis1, redis2, redis3那么我们的端口号也为7001, 7002, 7003。。。这样来延续。那么很多同协这时要问了，“为什么我们不把它命名成master, slave1, slave2这样的名字呢？”，理由很简单，无论是现在的hadoop还是zookeeper它们的集群是跨机房的，多个master间也有MASTER-SLAVE模式互为备份，因为一些大型网站不仅仅只有一个IDC机房，它们一般都会有2个，3个IDC机房，或者是在同一个IDC机房中有“跨机柜”的布署来形成超大规模集群，就和ALI的TAOBAO网一样，它在北美都有机房，因此当你需要在LOCAL NATIVE建一个IDC机房，在北美再做一个机房，你不要想把一个MASTER设在中国，SLAVE设到美国去，而是多地甚至是多机柜都有MASTER，一旦一个MASTER宕机了，这种集群会通过一个叫“选举策略”选出一个节点把这个节点作为当前“群”的MASTER，因此我们的命名才会是redis1, redis2, redis3...这样来命名的。 此处把原来的： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 save 900 1 save 300 10 save 60 10000 中的300 10 和60 10000注释掉。这边代表的是： redis以每900秒写一次、300秒写10次，60秒内写1万次这样的策略把缓存放入一个叫.rdb的磁盘文件中，这点和ehcache或者是memcache很像，以便于redis在重启时可以从本地持久化文件中找出关机前的数据记录。 如果按照默认的话，此三个策略会轮流起效，在大并发环境中，这样的写策略将会对我们的性能造成巨大的影响，因此我们这边只保留900秒写1次这条策略，这边有人会问，如果你这样会有数据丢失怎么办。。。别急，这个问题我们后面会解答，这涉及到redis的“正确”使用，如果它只是一个缓存，我相信5分钟内缓存的丢失此时程序直接访问数据库也不会有太大问题，又要保证数据完整性又要保证性能这本身是一个矛与盾的问题，除非你钱多了烧那我会给出你一个烧钱的配置策略，连新浪都不会这么烧钱，呵呵。 dbfilename，此处我们维持redis原有的缓存磁盘文件的原名 dir "/usr/local/redis1/data"为rdb文件所在的目录 这边大家要注意的是一个是只能写文件名，另一个地方只能写目录名。 为此我们需要在/usr/local/redis1下建立 data目录。 把此处的appendonly设为no，这样我们就关闭了Redis的AOF功能。 AOF 持久化记录服务器执行的所有写操作命令，并在服务器启动时，通过重新执行这些命令来还原数据集。AOF是redis在集群或者是高可用环境下的一个同步策略，它会不断的以APPEND的模式把redis的缓存中的数据从一个节点写给另一个节点，它对于数据的完整性保证是要高于rdb模式的。 RDB 是一个非常紧凑（compact）的文件，它保存了 Redis 在某个时间点上的数据集。 这种文件非常适合用于进行备份： 比如说，你可以在最近的 24 小时内，每小时备份一次 RDB 文件，并且在每个月的每一天，也备份一个 RDB 文件。 这样的话，即使遇上问题，也可以随时将数据集还原到不同的版本。RDB 非常适用于灾难恢复（disaster recovery）：它只有一个文件，并且内容都非常紧凑，可以（在加密后）将它传送到别的数据中心如阿里的mysql异地机房间使用FTP传binlog的做法。 按照官方的说法，启用AOF功能，可以在redis高可用环境中如果发生了故障客户的数据不会有高于2秒内的历史数据丢失，它换来的代价为高昂的I/O开销，有些开发者为了追求缓存中的数据100%的正确有时会碰到因为redis在AOF频繁刷新时整个环境如死机一的情况，并且你会看到恶梦一般的”Asynchronous AOF fsync is taking too long “警告信息，这是因为redis它是单线程的，它在进行I/O操作时会阻塞住所有的操作，包括登录。。。这个很可怕，不过这个BUG/ISSUE已经在最新redis中进行了优化，它启用了另一根进程来进行AOF刷新，包括优化了RDB持久化功能，这也是为什么我让大家一定一定要用最新最稳定版的redis的原因。 一般默认情况下redis内的rdb和AOF功能同为开启， 如果RDB的数据不实时，同时使用两者时服务器重启也只会找AOF文件。 因为RDB文件只用作后备用途，建议只在Slave上持久化RDB文件，而且只要15分钟备份一次就够了，所以我只保留save 900 1这条规则。 如果Enalbe AOF： 好处是在最恶劣情况下也只会丢失不超过两秒数据，启动脚本较简单只load自己的AOF文件就可以了。 代价一是带来了持续的IO，二是AOF rewrite的最后将rewrite过程中产生的新数据写到新文件造成的阻塞几乎是不可避免的。只要硬盘许可，应该尽量减少AOF rewrite的频率，AOF重写的基础大小默认值64M太小了，可以设到5G以上。默认超过原大小100%大小时重写，这边可以设定一个适当的数值。 如果不Enable AOF ，仅靠Master-Slave Replication 实现高可用性也可以。能省掉极大的IO也减少了rewrite时带来的系统波动。代价是如果Master/Slave同时倒掉（那你的网站基本也就歇了），会丢失十几分钟的数据，启动脚本也要比较两个Master/Slave中的RDB文件，载入较新的那个。新浪微博就选用了这种架构。 最后我们不要忘了设一个redis的log文件，在此我们把它设到了/var/log/redis目录，为此我们需要在/var/log目录下建立一个redis目录。 好了，保存后我们来启动我们的redis吧。 我们使用以下这条命令来启动我们的redis server。 然后我们在我们的windows机上装一个windows版的redis 2.8.1 for windows（只用它来作为redis的client端） 然后我们在windows环境下使用： redis-cli -p 7001 -h 192.168.56.101 咦，没反映，连不上，哈哈。。。。。。 那是肯定连不上的，因为： 我们刚才在用docker启动ubuntu14时使用docker -d -p 122:22 ubuntu:ssh //usr/sbin/sshd -D来启动的，这边我们并未把redis服务的7001端口映射到192.168.56.101这台docker主机上，怎么可以通过windows主机（可能windows的ip为169.188.xx.xx）来访问docker内的进程服务呢？对吧，为此我们：先把刚才做了这么多的更改docker commit成一个新的image如：redis:basic吧。 然后我们对docker进行一次大扫除，然后我们启动redis:basic这个image并使用以下命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker -d -p 122:22 -p 7001:7001 redis:basic //usr/sbin/sshd -D 看，此处我们可以使用多个-p来作docker内容器的多端口映射策略（它其实使用的就是iptables命令）。 好了，用putty连入这个image的进程并启动redis服务，然后我们拿windows中的redis-cli命令来连。 如果在linux环境下还是没有连通（可能的哦），那是因为你没有禁用linux下的防火墙，我们可以使用iptables -F来禁用linux的防火墙或者使用： vi /etc/selinux/config 然后把 SELINUX=enforcing 这句用”#“注释掉 增加一句： SELINUX=disabled #增加 这样每次启动后linux都不会有iptables的困扰了（这是在本机环境下这么干哦，如果你是生产环境请自行加iptables策略以允许redis服务端口可以被访问）。 看到下面这个PONG即代表你的redis服务已经在网络环境中起效了。 下面我们要开始使用Java客户端来连我们的Redis Service了。 使用Spring Data + JEDIS来连接Redis Service Spring+Session+Redis pom.xml 在此我们需要使用spring data和jedis，下面给出相关的maven配置 [html] view plain copy 在CODE上查看代码片派生到我的代码片 <dependencies> <!-- poi start --> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi</artifactId> <version>${poi_version}</version> </dependency> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi-ooxml-schemas</artifactId> <version>${poi_version}</version> </dependency> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi-scratchpad</artifactId> <version>${poi_version}</version> </dependency> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi-ooxml</artifactId> <version>${poi_version}</version> </dependency> <!-- poi end --> <!-- active mq start --> <dependency> <groupId>org.apache.activemq</groupId> <artifactId>activemq-all</artifactId> <version>5.8.0</version> </dependency> <dependency> <groupId>org.apache.activemq</groupId> <artifactId>activemq-pool</artifactId> <version>${activemq_version}</version> </dependency> <dependency> <groupId>org.apache.xbean</groupId> <artifactId>xbean-spring</artifactId> <version>3.16</version> </dependency> <!-- active mq end --> <!-- servlet start --> <dependency> <groupId>javax.servlet</groupId> <artifactId>servlet-api</artifactId> <version>${javax.servlet-api.version}</version> <scope>provided</scope> </dependency> <dependency> <groupId>javax.servlet.jsp</groupId> <artifactId>jsp-api</artifactId> <version>2.1</version> <scope>provided</scope> </dependency> <dependency> <groupId>javax.servlet</groupId> <artifactId>jstl</artifactId> <version>1.2</version> </dependency> <!-- servlet end --> <!-- redis start --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>2.7.2</version> </dependency> <dependency> <groupId>org.redisson</groupId> <artifactId>redisson</artifactId> <version>1.0.2</version> </dependency> <!-- redis end --> <dependency> <groupId>org.slf4j</groupId> <artifactId>jcl-over-slf4j</artifactId> <version>${slf4j.version}</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-log4j12</artifactId> <version>${slf4j.version}</version> </dependency> <!-- spring conf start --> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-redis</artifactId> <version>1.6.2.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-webmvc</artifactId> <version>${spring.version}</version> <exclusions> <exclusion> <groupId>commons-logging</groupId> <artifactId>commons-logging</artifactId> </exclusion> </exclusions> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-tx</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-aop</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context-support</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-redis</artifactId> <version>1.6.2.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-orm</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-jms</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework.session</groupId> <artifactId>spring-session</artifactId> <version>${spring.session.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-core</artifactId> <version>${spring.version}</version> </dependency> <!-- spring conf end --> </dependencies> redis-config.xml [html] view plain copy 在CODE上查看代码片派生到我的代码片 <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p" xmlns:context="http://www.springframework.org/schema/context" xmlns:jee="http://www.springframework.org/schema/jee" xmlns:tx="http://www.springframework.org/schema/tx" xmlns:aop="http://www.springframework.org/schema/aop" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd"> <context:property-placeholder location="classpath:/spring/redis.properties" /> <context:component-scan base-package="org.sky.redis"> </context:component-scan> <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"> <property name="hostName" value="${redis.host.ip}" /> <property name="port" value="${redis.host.port}" /> <property name="poolConfig" ref="jedisPoolConfig" /> </bean> <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig"> <property name="maxTotal" value="${redis.maxTotal}" /> <property name="maxIdle" value="${redis.maxIdle}" /> <property name="maxWaitMillis" value="${redis.maxWait}" /> <property name="testOnBorrow" value="${redis.testOnBorrow}" /> <property name="testOnReturn" value="${redis.testOnReturn}" /> </bean> <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate"> <property name="connectionFactory" ref="jedisConnectionFactory" /> </bean> <!--将session放入redis --> <bean id="redisHttpSessionConfiguration" class="org.springframework.session.data.redis.config.annotation.web.http.RedisHttpSessionConfiguration"> <property name="maxInactiveIntervalInSeconds" value="1800" /> </bean> <bean id="customExceptionHandler" class="sample.MyHandlerExceptionResolver" /> </beans> redis.properties [plain] view plain copy 在CODE上查看代码片派生到我的代码片 redis.host.ip=192.168.0.101 redis.host.port=6379 redis.maxTotal=1000 redis.maxIdle=100 redis.maxWait=2000 redis.testOnBorrow=false redis.testOnReturn=true web.xml [html] view plain copy 在CODE上查看代码片派生到我的代码片 <?xml version="1.0" encoding="UTF-8"?> <web-app version="2.5" xmlns="http://java.sun.com/xml/ns/javaee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd"> <!-- - Location of the XML file that defines the root application context - Applied by ContextLoaderListener. --> <!-- tag::context-param[] --> <context-param> <param-name>contextConfigLocation</param-name> <param-value> classpath:/spring/redis-conf.xml </param-value> </context-param> <!-- end::context-param[] --> <!-- tag::springSessionRepositoryFilter[] --> <filter> <filter-name>springSessionRepositoryFilter</filter-name> <filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class> </filter> <filter-mapping> <filter-name>springSessionRepositoryFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> <session-config> <session-timeout>30</session-timeout> </session-config> <!-- end::springSessionRepositoryFilter[] --> <filter> <filter-name>encodingFilter</filter-name> <filter-class>org.springframework.web.filter.CharacterEncodingFilter</filter-class> <init-param> <param-name>encoding</param-name> <param-value>UTF-8</param-value> </init-param> <init-param> <param-name>forceEncoding</param-name> <param-value>true</param-value> </init-param> </filter> <filter-mapping> <filter-name>encodingFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> <servlet> <servlet-name>dispatcher</servlet-name> <servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class> <init-param> <param-name>contextConfigLocation</param-name> <param-value>classpath:/spring/spring-mvc.xml</param-value> </init-param> <load-on-startup>1</load-on-startup> </servlet> <servlet-mapping> <servlet-name>dispatcher</servlet-name> <url-pattern>/</url-pattern> </servlet-mapping> <!-- - Loads the root application context of this web app at startup. - The application context is then available via - WebApplicationContextUtils.getWebApplicationContext(servletContext). --> <!-- tag::listeners[] --> <listener> <listener-class>org.springframework.web.context.ContextLoaderListener</listener-class> </listener> <!-- end::listeners[] --> <servlet> <servlet-name>sessionServlet</servlet-name> <servlet-class>sample.SessionServlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>sessionServlet</servlet-name> <url-pattern>/servlet/session</url-pattern> </servlet-mapping> <welcome-file-list> <welcome-file>index.jsp</welcome-file> </welcome-file-list> </web-app> 这边主要是一个： [html] view plain copy 在CODE上查看代码片派生到我的代码片 <filter> <filter-name>springSessionRepositoryFilter</filter-name> <filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class> </filter> <filter-mapping> <filter-name>springSessionRepositoryFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> <session-config> <session-timeout>30</session-timeout> </session-config> 这个filter一定要写在一切filter之前 SessionController [java] view plain copy 在CODE上查看代码片派生到我的代码片 package sample; import org.springframework.session.data.redis.config.annotation.web.http.EnableRedisHttpSession; import org.springframework.stereotype.Controller; import org.springframework.ui.Model; import org.springframework.web.bind.annotation.RequestMapping; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession; /** * Created by mk on 15/1/7. */ @Controller @EnableRedisHttpSession public class SessionController { @RequestMapping("/mySession") public String index(final Model model, final HttpServletRequest request) { if (request.getSession().getAttribute("testSession") == null) { System.out.println("session is null"); request.getSession().setAttribute("testSession", "yeah"); } else { System.out.println("not null"); } return "showSession"; } } showSession.jsp文件 [html] view plain copy 在CODE上查看代码片派生到我的代码片 <%@ page language="java" contentType="text/html; charset=utf-8" pageEncoding="utf-8"%> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <title>showSession</title> </head> <body> <% String sessionValue=(String)session.getAttribute("testSession"); %> <h1>Session Value From Servlet is: <%=sessionValue%></h1> </body> </html> 测试 保证我们的redise-server是启动的，然后我们启动起这个web工程后使用： http://localhost:8080/webpoc/mySession访问一下这个controller 此时我们使用redis客户端工具连入查看spring session是否已经进入到了redis中去。 在redis客户端工具连入后我们可以在redis console中使用keys *来查看存入的key，LOOK，spring的session存入了redis中去了。 再来看我们的eclipse后台，由于我们是第一次访问这个controller，因此这个session为空，因此它显示如下： 我们在IE中再次访问该controller 由于之前的session已经存在于redis了，因此当用户在1800秒（30分钟）内再次访问controller，它会从session中获取该session的key testSession的值，因此eclipse后台打印为not null。 SpringRedisTemplate + Redis 讲过了spring session+redis我们来讲使用spring data框架提供的redisTemplate来访问redis service吧。说实话，spring这个东西真强，什么都可以集成，cassandra, jms, jdbc...jpa...bla...bla...bla...Spring集成Barack Hussein Obama? LOL :) pom.xml 不用列了，上面有了 redis-conf.xml 不用列了，上面有了 web.xml 也不用列了，上面也有了 SentinelController.java 我们就先用这个名字吧，后面我们会用它来做我们的redis sentinel（哨兵）的高可用（HA）集群测试 [java] view plain copy 在CODE上查看代码片派生到我的代码片 package sample; import java.util.HashMap; import java.util.Map; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; import org.springframework.data.redis.core.BoundHashOperations; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.stereotype.Controller; import org.springframework.ui.Model; import org.springframework.web.bind.annotation.ExceptionHandler; import org.springframework.web.bind.annotation.RequestMapping; import redis.clients.jedis.Jedis; import redis.clients.jedis.JedisSentinelPool; import util.CountCreater; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession; /** * Created by xin on 15/1/7. */ @Controller public class SentinelController { @Autowired private StringRedisTemplate redisTemplate; @RequestMapping("/sentinelTest") public String sentinelTest(final Model model, final HttpServletRequest request, final String action) { return "sentinelTest"; } @ExceptionHandler(value = { java.lang.Exception.class }) @RequestMapping("/setValueToRedis") public String setValueToRedis(final Model model, final HttpServletRequest request, final String action) throws Exception { CountCreater.setCount(); String key = String.valueOf(CountCreater.getCount()); Map mapValue = new HashMap(); for (int i = 0; i < 1000; i++) { mapValue.put(String.valueOf(i), String.valueOf(i)); } try { BoundHashOperations<String, String, String> boundHashOperations = redisTemplate .boundHashOps(key); boundHashOperations.putAll(mapValue); System.out.println("put key into redis"); } catch (Exception e) { e.printStackTrace(); throw new Exception(e); } return "sentinelTest"; } } 打开IE，输入：http://localhost:8080/webpoc/setValueToRedis 观察我们的后台 然后使用redis client连入后进行查看 看。。。这个值key=1的，就是我们通过spring的redisTemplate存入进去的值，即使用下面这段代码进行存入的值： [java] view plain copy 在CODE上查看代码片派生到我的代码片 for (int i = 0; i < 1000; i++) { mapValue.put(String.valueOf(i), String.valueOf(i)); } try { BoundHashOperations<String, String, String> boundHashOperations = redisTemplate.boundHashOps(key); boundHashOperations.putAll(mapValue); 如何你要存入一个简单的如key=test value=hello，你可以这样使用你的redisTemplate [java] view plain copy 在CODE上查看代码片派生到我的代码片 redisTemplate.execute(new RedisCallback<Object>() { @Override public Object doInRedis(RedisConnection connection) throws DataAccessException { connection.set( redisTemplate.getStringSerializer().serialize( "test"), redisTemplate .getStringSerializer() .serialize("hello")); return null; } }); 是不是很方便的哈？结束第一天的教程，明天开始搭建redis集群。

spring_file_reading_app

spring_file_reading_app

No description available

spring_file-reading_app

spring_file_reading_app

Spring boot java demo of web server and console app (reading/writing files)

SPRING App with time counter for reading and writing 1000 records from file to MySQL and MongoDB databases.

Limits service spring boot application reading properties files from centralized repo. We have two app limits and sping cloud which is used here.

All right. Welcome to the lecture. Now we're gonna make our lives a bit easier. We've been using a manual approach throughout the course so far to enter data into our application right. Every time we needed to add an employee we had to fill out the employee form if we needed to add a project we'd had to fill out the project form. Those are very manual process. OK. And I made you go through that on purpose manually just so you understand the workflow and see how everything is connected and how your application changes as you add more data. But since we've graduated from that point now we're gonna make things a bit more practical and easier in terms of development. And so what I'm going to do is seed the database with some pre-existing data so that when you make changes in your application you don't lose all that data that you were testing replication with. And so what we have to do is in the project management application class I've already pulled it up here. That's coming from the com that GOP that PMA is the root package of the application. Notice the Spring Boot application annotation. This is our starting point of the application. I've added two objects I'm going to need here the employee repository as well as the project repository. All right. And so using these two objects we can actually get access to the data in the database or enter data and retrieve data. And so to seed the database with some data every time your application starts the way to do that is we're gonna create an instance of a command line runner. Okay. And so what we do is we use the app being annotation and again we have a lot more to talk about when it comes to annotations but just follow along here and get this code up and running and then we're gonna dive deeper into each of these different annotations that we're seeing. So we're gonna define the class command line runner and the implementation is going to be called Running Right here. Okay. And so as part of this method called runner it returns it returns args. So when I use a return keyword and put ARGs and we're going to use a lambda expression here and actually we don't need a semicolon at the end of this. This is just a we're defining a method here which returns a type called command line runner and these are the odds that get past the starting point of our application what is the starting point. It's this right here this main method. Right. And this Spring Boot application started class. And so let's just do a command shift to bring in the import for the bean annotation. And here is where we're going to define all of the employees and projects that can get loaded when our application starts up. So I've provided code as part of this lecture. So make sure you get that. I have that opened on my other screen here I'm just in a copy it and paste it. And you of course have access to this code so make sure you do the same. So I'm going to paste a couple of employees so I've pasted nine employees Euro I have defined their names their emails and so on. All right let's just do a command shift order. Bring in the import for the employee entity after redefined the employees are going to define a few projects. All right. So we would have to be doing this manually if we didn't have this data in this started class. So this is gonna save us a lot more time now. So going to pace the projects. Right. And let's bring in the import for the project entity and have the final product one two three and four. Now notice these are projects I haven't linked the employees to the projects yet I've just defined a separate project and I've defined the separate employees. So now we're gonna do is actually make the link between the project and the employee. And so the next thing here I'm just going to copy paste the assignment and that is you know we're needing to set both sides of the relationship manually First we set a project with the employee so we're we're seeing the project one gets assigned employee one project one also gets employee to product to get employee 3 project 3 It's employee 1. So here we're building that relationship. Many projects could be assigned to many employees many to many. Now we did this for the projects. We actually also have to do it for the employees. All right. So I'm going to do that on this second line here. Underneath here notice I'm reading this again need to set both sides of the relationship manually. So now here we're assigning the projects to the actual employees based on the rules that we've already defined here and we're using the arrays that as list functionality to to list out the employees rather than having to manually. These are two different approaches you can use either one. And let's just do a command shift to bring in the utility that arrays class. And so now that we have the assignment out of the way what do we do. Well it's actually quite simple. All we have to do is save these projects as well as these employees to the database. So let's do that. I I'm going to copy that code from that file that you should have and I going to paste it right here. And so now we're using the EMP repo to save employee 1 to save Employee 2 3 4 all the way to 9 and then we're also doing that for projects we're saving each of the projects. All right. And these objects have the associations already linked with their respective you know the employees are assigned to the products and the products are assigned to the employee so that these objects carry the relationship already linked because we're utilizing these these methods here and by the way this ad employee method if I open it up that's a that's a method in the project class. And so all we're doing in this method if you don't have it in your code make sure you add it. We're just checking to see if the employees list is null if it is then we're just creating a new relist and then down here all we do is add the given employee that's passed in right to the employees list of the product. So you can do it like this where you utilize an add employee or add project method. These are known as convenience methods or you could just use the approach that I did here where you set the projects you know in passing and a list of the objects or you would be doing the same thing up there. So both options I wanted to show you that you can of course use all Java functionality is legal here you can use that of course is Java code and so that's it. We save these entities in our databases and so every time we restart our application that data is already going to be there. All right. So now that we added this data let's just go back and open up our app. I'm just gonna refresh and notice we start with some data. Let's go to the home page and those we already have some data. So this must be you know soothing for your eyes to see because you don't have to manually create these every time anymore. You go to the employees tab you have all of the employees already there. You go to the products tab you have the projects displaying. So this is great.