汇总节点安装Logstash。Logstash运行需要JDK环境,所以需要首先配置相应JAVA_HOME环境变量。下载与filebeat对应版本压缩包:官网地址根据操作系统选择对应的版本下载解压测试:与Filebeat配置连接,新建beat-logstash.conf:指定配置文件启动logstash(cd$LOGSTASH_HOME):bin/logstash-fconfig/beat-logstash.conf后台启动使用nohupnohup./bin/logstash-fconfig/beat-logstash.conf--config.reload.automatic>/dev/null2>&1&
存储集群应与业务服务器不在同一台机器,此处搭建ES存储集群使用单节点的方式。ES集群机器需要实现安装配置好JAVA_HOME环境变量。安装配置下载,版本应与filebeat版本一致:官网地址解压修改elasticsearch.yml配置文件:其中cluster.name避免使用默认名称,各节点中配置为相同的名称,ES就会自动搜索加入启动elasticsearch:==ES集群启动不允许使用root账户==,所以应该先创建一个用户,使用新创建的用户启动elasticsearchgroupaddelkuseradd-gelkelkpasswdelk#创建elk用户密码chown-Relk:elk$ELASTICSEARCH_HOMEsuelk$ELASTICSEARCH_HOME/bin/elasticsearch-d#后台启动ES启动完成后测试,浏览器输入http://host:9200测试,有如下结果则为正常:问题解决启动elasticsearch时出现:elasticsearch:which:nojavain(/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin)[解决]在$ES_HOME/config/elasticsearch文件中加入以下配置:JAVA_HOME=/usr/local/jdk1.8maxnumberofthreads[1024]foruser[elk]likelytoolow,increasetoatleast[2048].[解决]切换到root用户,进入limits.d目录下修改配置文件:vi/etc/security/limits.d/90-nproc.conf找到并修改为softnproc2048hardnproc4096maxfiledescriptors[4096]forelasticsearchprocesslikelytoolow,increasetoatleast[65536][解决]切换到root用户,进入limits.d目录下修改配置文件。vi/etc/security/limits.d/90-nproc.conf找到并修改为softnofile65536hardnofile131072maxvirtualmemoryareasvm.max_map_count[65530]likelytoolow,increasetoatleast[262144][解决]修改:vim/etc/sysctl.conf添加下面配置:vm.max_map_count=655360并执行命令:sysctl-p
下载与ES对应的版本:官网地址解压修改$KIBANA_HOME/config/kibana.yml文件启动Kibana:sudo$KIBANA_HOME/bin/kibana浏览器输入host:5601能正常打开页面即可KAAE插件安装KAAE为Kibana的插件,主要用来监控和报警,用户可以根据需求配置相应的监控条件,达到某个条件会发出报警消息,同时KAAE也提供有报告Report功能,能够将查询到的结果生成图表发送到指定邮箱。安装:$KIBANA_HOME/bin/kibana-pulgininstallhttps://github.com/sirensolutions/sentinl/releases/download/tag-6.2.3-3/sentinl-v6.2.4.zip配置kibana.yml文件,在最后加上:重启Kibana后,浏览器输入:http://ip:5601出现以下界面说明插件安装成功可以在页面上按照需求配置监听报警
一、Sharding-jdbc简介Sharding-jdbc是开源的数据库操作中间件;定位为轻量级Java框架,在Java的JDBC层提供的额外服务。它使用客户端直连数据库,以jar包形式提供服务,无需额外部署和依赖,可理解为增强版的JDBC驱动,完全兼容JDBC和各种ORM框架。官方文档地址:https://shardingsphere.apache.org/document/current/cn/overview/本文demo实现了分库分表功能。作者能力有限,如有错误,欢迎各位在评论中指出。不胜感激!二、项目结构首先创建一个一般的Springboot项目,项目采用三层架构,结构图如下:项目目录结构图POM.xml文件如下:<?xmlversion="1.0"encoding="UTF-8"?><projectxmlns="http://maven.apache.org/POM/4.0.0"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.1.6.RELEASE</version><relativePath/><!--lookupparentfromrepository--></parent><groupId>com.macky</groupId><artifactId>spring-boot-shardingjdbc</artifactId><version>0.0.1-SNAPSHOT</version><name>spring-boot-shardingjdbc</name><description>Demoprojectforspring-boot-shardingjdbc</description><properties><java.version>1.8</java.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><!--mysql--><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><scope>runtime</scope></dependency><!--Mybatis-Plus--><dependency><groupId>com.baomidou</groupId><artifactId>mybatis-plus-boot-starter</artifactId><version>3.1.1</version></dependency><!--shardingspherestart--><!--forspringboot--><dependency><groupId>io.shardingsphere</groupId><artifactId>sharding-jdbc-spring-boot-starter</artifactId><version>3.1.0</version></dependency><!--forspringnamespace--><dependency><groupId>io.shardingsphere</groupId><artifactId>sharding-jdbc-spring-namespace</artifactId><version>3.1.0</version></dependency><!--shardingsphereend--><!--lombok--><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>实体类以书本为例packagecom.macky.springbootshardingjdbc.entity;importcom.baomidou.mybatisplus.annotation.TableName;importcom.baomidou.mybatisplus.extension.activerecord.Model;importgroovy.transform.EqualsAndHashCode;importlombok.Data;importlombok.experimental.Accessors;/***@authorMacky*@TitleclassBook*@Description:书籍是实体类*@date2019/7/1315:23*/@Data@EqualsAndHashCode(callSuper=true)@Accessors(chain=true)@TableName("book")publicclassBookextendsModel<Book>{privateintid;privateStringname;privateintcount;}开放保存和查询两个接口,代码如下:packagecom.macky.springbootshardingjdbc.controller;importcom.macky.springbootshardingjdbc.entity.Book;importcom.macky.springbootshardingjdbc.service.BookService;importorg.springframework.beans.factory.annotation.Autowired;importorg.springframework.web.bind.annotation.*;importjava.util.List;/***@authorMacky*@TitleclassBookController*@Description:TODO*@date2019/7/1220:53*/@RestControllerpublicclassBookController{@AutowiredBookServicebookService;@RequestMapping(value="/book",method=RequestMethod.GET)publicList<Book>getItems(){returnbookService.getBookList();}@RequestMapping(value="/book",method=RequestMethod.POST)publicBooleansaveItem(Bookbook){returnbookService.save(book);}}BookServiceImpl.javapackagecom.macky.springbootshardingjdbc.service.impl;importcom.baomidou.mybatisplus.core.toolkit.Wrappers;importcom.baomidou.mybatisplus.extension.service.impl.ServiceImpl;importcom.macky.springbootshardingjdbc.entity.Book;importcom.macky.springbootshardingjdbc.mapper.BookMapper;importcom.macky.springbootshardingjdbc.service.BookService;importorg.springframework.stereotype.Service;importjava.util.List;/***@authorMacky*@TitleclassBookServiceImpl*@Description:TODO*@date2019/7/1220:47*/@ServicepublicclassBookServiceImplextendsServiceImpl<BookMapper,Book>implementsBookService{@OverridepublicList<Book>getBookList(){returnbaseMapper.selectList(Wrappers.<Book>lambdaQuery());}@Overridepublicbooleansave(Bookbook){returnsuper.save(book);}}BookMapper.javapackagecom.macky.springbootshardingjdbc.mapper;importcom.baomidou.mybatisplus.core.mapper.BaseMapper;importcom.macky.springbootshardingjdbc.entity.Book;/***@authorMacky*@TitleclassBookMapper*@Description:TODO*@date2019/7/1220:46*/publicinterfaceBookMapperextendsBaseMapper<Book>{}创建数据库表,DDL语句如下:#创建数据库表数据CREATEDATABASEIFNOTEXISTS`db0`;USE`db0`;DROPTABLEIFEXISTS`book_0`;CREATETABLE`book_0`(`id`INT(11)NOTNULL,`name`VARCHAR(255)DEFAULTNULL,`count`INT(11)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=INNODBDEFAULTCHARSET=utf8mb4;DROPTABLEIFEXISTS`book_1`;CREATETABLE`book_1`(`id`INT(11)NOTNULL,`name`VARCHAR(255)DEFAULTNULL,`count`INT(11)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=INNODBDEFAULTCHARSET=utf8mb4;CREATEDATABASEIFNOTEXISTS`db1`;USE`db1`;DROPTABLEIFEXISTS`book_0`;CREATETABLE`book_0`(`id`INT(11)NOTNULL,`name`VARCHAR(255)DEFAULTNULL,`count`INT(11)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=INNODBDEFAULTCHARSET=utf8mb4;DROPTABLEIFEXISTS`book_1`;CREATETABLE`book_1`(`id`INT(11)NOTNULL,`name`VARCHAR(255)DEFAULTNULL,`count`INT(11)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=INNODBDEFAULTCHARSET=utf8mb4;CREATEDATABASEIFNOTEXISTS`db2`;USE`db2`;DROPTABLEIFEXISTS`book_0`;CREATETABLE`book_0`(`id`INT(11)NOTNULL,`name`VARCHAR(255)DEFAULTNULL,`count`INT(11)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=INNODBDEFAULTCHARSET=utf8mb4;DROPTABLEIFEXISTS`book_1`;CREATETABLE`book_1`(`id`INT(11)NOTNULL,`name`VARCHAR(255)DEFAULTNULL,`count`INT(11)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=INNODBDEFAULTCHARSET=utf8mb4;配置分库分表策略application.properties:#数据源db0,db1,db2sharding.jdbc.datasource.names=db0,db1,db2#第一个数据库sharding.jdbc.datasource.db0.type=com.zaxxer.hikari.HikariDataSourcesharding.jdbc.datasource.db0.driver-class-name=com.mysql.cj.jdbc.Driversharding.jdbc.datasource.db0.jdbc-url=jdbc:mysql://localhost:3306/db0?useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTCsharding.jdbc.datasource.db0.username=rootsharding.jdbc.datasource.db0.password=Aa123456#第二个数据库sharding.jdbc.datasource.db1.type=com.zaxxer.hikari.HikariDataSourcesharding.jdbc.datasource.db1.driver-class-name=com.mysql.cj.jdbc.Driversharding.jdbc.datasource.db1.jdbc-url=jdbc:mysql://localhost:3306/db1?useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTCsharding.jdbc.datasource.db1.username=rootsharding.jdbc.datasource.db1.password=Aa123456#第三个数据库sharding.jdbc.datasource.db2.type=com.zaxxer.hikari.HikariDataSourcesharding.jdbc.datasource.db2.driver-class-name=com.mysql.cj.jdbc.Driversharding.jdbc.datasource.db2.jdbc-url=jdbc:mysql://localhost:3306/db2?useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTCsharding.jdbc.datasource.db2.username=rootsharding.jdbc.datasource.db2.password=Aa123456#水平拆分的数据库(表)配置分库+分表策略行表达式分片策略#分库策略sharding.jdbc.config.sharding.default-database-strategy.inline.sharding-column=idsharding.jdbc.config.sharding.default-database-strategy.inline.algorithm-expression=db$->{id%3}#分表策略其中book为逻辑表分表主要取决于id行sharding.jdbc.config.sharding.tables.book.actual-data-nodes=db$->{0..2}.book_$->{0..2}sharding.jdbc.config.sharding.tables.book.table-strategy.inline.sharding-column=count#分片算法表达式sharding.jdbc.config.sharding.tables.book.table-strategy.inline.algorithm-expression=book_$->{count%3}#主键UUID18位数如果是分布式还要进行一个设置防止主键重复#sharding.jdbc.config.sharding.tables.user.key-generator-column-name=id#打印执行的数据库以及语句sharding.jdbc.config.props..sql.show=truespring.main.allow-bean-definition-overriding=true#读写分离sharding.jdbc.datasource.dsmaster=接口测试使用postman示例:GET请求------>http://localhost:8080/bookPOST请求:------->http://localhost:8080/book?id=1&name=java编程思想&count=8demo的github地址:https://github.com/Macky-He/spring-boot--shardingsphere-examples如各位觉得有帮助的话,还请给个star鼓励鼓励博主,谢谢!三、总结分库分表实现按照官方文档做一个demo是第一步,如需深入还需要研究源码,研究架构,研究思想;此文仅作为入门demo搭建指南,如需深入理解,还请移步至官方文档。参考资料1.官方文档:https://shardingsphere.apache.org/document/current/cn/manual/sharding-jdbc/usage/sharding/
Linux离线安装Apache-2.41.系统环境信息系统版本:Linux2.6.32-696.el6.x86_64操作系统:Centos6.92.前置准备Apache-2.4编译安装依赖apr、apr-util、pcre,所以安装前需要先下载好四个离线安装包,安装包下载地址:apr-1.5.2apr-util-1.5.4pcre-8.42httpd-2.4.343.编译安装aprcd/home/softwaretar-zxvfapr-1.5.2.tar.gzcdapr-1.5.2./configure--prefix=/usr/local/apr-1.5.2make&&makeinstall4.编译安装apr-utilcd/home/softwaretar-zxvfapr-util-1.5.4.tar.gzcdapr-util-1.5.4./configure--prefix=/usr/local/apr-util-1.5.4--with-apr=/usr/local/apr-1.5.2make&&makeinstall5.编译安装pcrecd/home/softwaretar-zxvfpcre-8.42.tar.gzcdpcre-8.42./configure--prefix=/usr/local/pcre-8.42make&&makeinstall6.编译安装httpdcd/home/softwaretar-zxvfhttpd-2.4.34.tar.gzcdhttpd-2.4.34./configure--prefix=/usr/local/httpd-2.4.34--with-apr=/usr/local/apr-1.5.2--with-apr-util=/usr/local/apr-util-1.5.4--with-pcre=/usr/local/pcre-8.42make&&makeinstall7.配置httpd.confapache编译安装完成后,配置文件地址在/usr/local/apache-2.4.34/conf/httpd.conf修改启动端口为8080Listen80818.启动Apache创建软链接:ln-s/usr/local/apache-2.4.34/bin/apachectl/usr/bin/apachectl启动:/usr/bin/apachectl
1.、@RequestParam与@RequestPart主要用来接收文件,两者都能用于后端接收文件2.@RequestPart这个注解用在multipart/form-data表单提交请求的方法上。支持的请求方法的方式MultipartFile,属于Spring的MultipartResolver类。这个请求是通过http协议传输的。3.@RequestParam也同样支持multipart/form-data请求。当请求方法的请求参数类型是String类型的时候。4.@RequestParam适用于name-valueString类型的请求域,@RequestPart适用于复杂的请求域(像JSON,XML)5.@RequestPart注解会生成临时文件,而@RequestParam则不会生成临时文件,效率上ReqeustParam会比RequestPart快一些
1.在使用mybatis的动态sql时,有时候遇到根据条件判断添加where后面的筛选条件的情况,会出现多余的AND或者OR:2.使用where关键字:2.1当第一个参数为空时,拼接后的sql为:select*fromtdwhereandphone=.......;2.2当所有的参数都为空时,拼接后的sql为:select*fromtdwhere.....,显然这样的sql不是完整的sql,执行时会报错.3.使用where标签时:3.1当第一个参数为空时,拼接后的sql为:select*fromtdwherephone=......(若语句的开头为AND或者OR时,where元素会将他们去除).3.2当所有的参数都为空时,拼接后的sql为:select*fromtd.(where元素只会在至少有一个子元素的条件返回SQL子句的情况下才去插入“WHERE”子句)。
1.新建数据库表ims-learn.user2.Model包下新建User类注:因为之前初始化项目时添加了lombok依赖,所以model类可以不用写setter/getter,直接使用@Data注解替代3.编写UserDao接口类4.UserMapper.xml<?xmlversion="1.0"encoding="UTF-8"?><!DOCTYPEmapperPUBLIC"-//mybatis.org//DTDMapper3.0//EN""http://mybatis.org/dtd/mybatis-3-mapper.dtd"><mappernamespace="cn.coralcloud.ims.dao.UserDao"><resultMapid="userResultMap"type="User"><idproperty="id"column="id"/><resultproperty="createTime"column="create_time"/><resultproperty="updateTime"column="update_time"/></resultMap><selectid="login"resultMap="userResultMap">select*fromuserwhereemail=#{email}andpassword=#{password}</select></mapper>5.mybatis.xml编写mybatis基础配置,新建resources/mybatis/mybatis.xml<?xmlversion="1.0"encoding="UTF-8"?><!DOCTYPEconfigurationPUBLIC"-//mybatis.org//DTDConfig3.0//EN""http://mybatis.org/dtd/mybatis-3-config.dtd"><configuration><settings><settingname="logImpl"value="STDOUT_LOGGING"/><settingname="lazyLoadingEnabled"value="true"/><settingname="aggressiveLazyLoading"value="false"/><settingname="lazyLoadTriggerMethods"value=""/></settings></configuration>6.UserService.java7.UserController.javapackagecn.coralcloud.ims.controller;importcn.coralcloud.ims.model.User;importcn.coralcloud.ims.service.UserService;importcom.sun.org.apache.xpath.internal.operations.Mod;importorg.springframework.beans.factory.annotation.Autowired;importorg.springframework.stereotype.Controller;importorg.springframework.ui.Model;importorg.springframework.web.bind.annotation.GetMapping;importorg.springframework.web.bind.annotation.PostMapping;importorg.springframework.web.bind.annotation.RequestMapping;importorg.springframework.web.servlet.ModelAndView;importorg.springframework.web.servlet.View;importjavax.servlet.http.HttpSession;/***@authorc-geff*@nameUserController*@description*@date2020-11-0310:45*/@Controller@RequestMapping("/user")publicclassUserController{@AutowiredprivateUserServiceuserService;@PostMapping("/login")publicModelAndViewlogin(Stringemail,Stringpassword,HttpSessionsession){ModelAndViewview=newModelAndView();view.setViewName("user/login");Useruser=userService.login(email,password);if(user!=null){session.setAttribute("AdminUserKey",user);view.setViewName("redirect:/index");returnview;}view.addObject("errmsg","用户名或密码错误!");returnview;}@GetMapping("/login")publicStringlogin(){return"user/login";}}8.login.ftl9.IndexController改造10.index.ftl改造,展示用户登录后的用户名11.数据库添加一条用户数据,然后在/user/login页面登录测试
1.建基础包/文件夹2.application.propertis编写application.propertis基础配置和数据库连接3.index.ftl注:在index.ftl页面可以输入感叹号!,然后按tab键一键生成HTML代码4.IndexController.java5.启动服务启动服务,后再浏览器输入http://localhost:8080,是否能成功访问:
1.@Component,@Service,@Controller,@Repository是spring注解,注解后可以被spring框架所扫描并注入到spring容器来进行管理2.@Component是通用注解,其他三个注解是这个注解的拓展,并且具有了特定的功能3.如果想使用自定义的组件注解,那么只要在你定义的新注解中加上@Component即可:4.@Repository注解在持久层中,具有将数据库操作抛出的原生异常翻译转化为spring的持久层异常的功能。5.@Controller层是spring-mvc的注解,具有将请求进行转发,重定向的功能。6.@Service层是业务逻辑层注解,这个注解只是标注该类处于业务逻辑层。7.用这些注解对应用进行分层之后,就能将请求处理,义务逻辑处理,数据库操作处理分离出来,为代码解耦,也方便了以后项目的维护和开发。
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