Druid是阿里开源的一个JDBC应用组件,其中包括三部分:

  • DruidDriver:代理Driver,能够提供基于Filter-Chain模式的插件体系。
  • DruidDataSource:高效可管理的数据库连接池。
  • SQLParser:实用SQL语法分析

官方文档:https://github.com/alibaba/druid/wiki

依赖

pom.xml
  • Druid Spring Boot Starter是阿里官方提供的Spring Boot插件,用于在Spring Boot项目中集成Druid数据库连接池和监控
<!-- druid -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.9</version>
</dependency>
<!-- log4j -->
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>

配置

application.yml
server:
port: 8001 spring:
datasource:
name: druidDataSource
type: com.alibaba.druid.pool.DruidDataSource
druid:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/coisini?useUnicode=true&zeroDateTimeBehavior=convertToNull&autoReconnect=true&characterEncoding=utf-8&serverTimezone=GMT%2B8
username: root
password: sunday
filters: stat,wall,log4j,config
max-active: 100
initial-size: 1
max-wait: 60000
min-idle: 1
time-between-eviction-runs-millis: 60000
min-evictable-idle-time-millis: 300000
validation-query: select 'x'
test-while-idle: true
test-on-borrow: false
test-on-return: false
pool-prepared-statements: true
max-open-prepared-statements: 50
max-pool-prepared-statement-per-connection-size: 20
DruidDataSourceProperties.class
  • 配置类对Druid进行自定义属性配置
@ConfigurationProperties(prefix = "spring.datasource.druid")
public class DruidDataSourceProperties { // jdbc
private String driverClassName;
private String url;
private String username;
private String password;
// jdbc connection pool
private int initialSize;
private int minIdle;
private int maxActive = 100;
private long maxWait;
private long timeBetweenEvictionRunsMillis;
private long minEvictableIdleTimeMillis;
private String validationQuery;
private boolean testWhileIdle;
private boolean testOnBorrow;
private boolean testOnReturn;
private boolean poolPreparedStatements;
private int maxPoolPreparedStatementPerConnectionSize;
// filter
private String filters; public int getInitialSize() {
return initialSize;
}
public void setInitialSize(int initialSize) {
this.initialSize = initialSize;
}
public int getMinIdle() {
return minIdle;
}
public void setMinIdle(int minIdle) {
this.minIdle = minIdle;
}
public int getMaxActive() {
return maxActive;
}
public void setMaxActive(int maxActive) {
this.maxActive = maxActive;
}
public long getMaxWait() {
return maxWait;
}
public void setMaxWait(long maxWait) {
this.maxWait = maxWait;
}
public long getTimeBetweenEvictionRunsMillis() {
return timeBetweenEvictionRunsMillis;
}
public void setTimeBetweenEvictionRunsMillis(long timeBetweenEvictionRunsMillis) {
this.timeBetweenEvictionRunsMillis = timeBetweenEvictionRunsMillis;
}
public long getMinEvictableIdleTimeMillis() {
return minEvictableIdleTimeMillis;
}
public void setMinEvictableIdleTimeMillis(long minEvictableIdleTimeMillis) {
this.minEvictableIdleTimeMillis = minEvictableIdleTimeMillis;
}
public String getValidationQuery() {
return validationQuery;
}
public void setValidationQuery(String validationQuery) {
this.validationQuery = validationQuery;
}
public boolean isTestWhileIdle() {
return testWhileIdle;
}
public void setTestWhileIdle(boolean testWhileIdle) {
this.testWhileIdle = testWhileIdle;
}
public boolean isTestOnBorrow() {
return testOnBorrow;
}
public void setTestOnBorrow(boolean testOnBorrow) {
this.testOnBorrow = testOnBorrow;
}
public boolean isTestOnReturn() {
return testOnReturn;
}
public void setTestOnReturn(boolean testOnReturn) {
this.testOnReturn = testOnReturn;
}
public boolean isPoolPreparedStatements() {
return poolPreparedStatements;
}
public void setPoolPreparedStatements(boolean poolPreparedStatements) {
this.poolPreparedStatements = poolPreparedStatements;
}
public int getMaxPoolPreparedStatementPerConnectionSize() {
return maxPoolPreparedStatementPerConnectionSize;
}
public void setMaxPoolPreparedStatementPerConnectionSize(int maxPoolPreparedStatementPerConnectionSize) {
this.maxPoolPreparedStatementPerConnectionSize = maxPoolPreparedStatementPerConnectionSize;
}
public String getFilters() {
return filters;
}
public void setFilters(String filters) {
this.filters = filters;
}
public String getDriverClassName() {
return driverClassName;
}
public void setDriverClassName(String driverClassName) {
this.driverClassName = driverClassName;
}
public String getUrl() {
return url;
}
public void setUrl(String url) {
this.url = url;
}
public String getUsername() {
return username;
}
public void setUsername(String username) {
this.username = username;
}
public String getPassword() {
return password;
}
public void setPassword(String password) {
this.password = password;
}
}

配置Servlet和Filter

DruidConfig.class
  • @EnableConfigurationProperties:用于导入Druid的配置信息
@Configuration
@EnableConfigurationProperties({DruidDataSourceProperties.class})
public class DruidConfig {
@Autowired
private DruidDataSourceProperties properties; @Bean
@ConditionalOnMissingBean
public DataSource druidDataSource() {
DruidDataSource druidDataSource = new DruidDataSource();
druidDataSource.setDriverClassName(properties.getDriverClassName());
druidDataSource.setUrl(properties.getUrl());
druidDataSource.setUsername(properties.getUsername());
druidDataSource.setPassword(properties.getPassword());
druidDataSource.setInitialSize(properties.getInitialSize());
druidDataSource.setMinIdle(properties.getMinIdle());
druidDataSource.setMaxActive(properties.getMaxActive());
druidDataSource.setMaxWait(properties.getMaxWait());
druidDataSource.setTimeBetweenEvictionRunsMillis(properties.getTimeBetweenEvictionRunsMillis());
druidDataSource.setMinEvictableIdleTimeMillis(properties.getMinEvictableIdleTimeMillis());
druidDataSource.setValidationQuery(properties.getValidationQuery());
druidDataSource.setTestWhileIdle(properties.isTestWhileIdle());
druidDataSource.setTestOnBorrow(properties.isTestOnBorrow());
druidDataSource.setTestOnReturn(properties.isTestOnReturn());
druidDataSource.setPoolPreparedStatements(properties.isPoolPreparedStatements());
druidDataSource.setMaxPoolPreparedStatementPerConnectionSize(properties.getMaxPoolPreparedStatementPerConnectionSize());
try {
druidDataSource.setFilters(properties.getFilters());
druidDataSource.init();
} catch (SQLException e) {
e.printStackTrace();
}
return druidDataSource;
} /**
* 注册Servlet信息, 配置监控视图
* @return
*/
@Bean
@ConditionalOnMissingBean
public ServletRegistrationBean<Servlet> druidServlet() {
ServletRegistrationBean<Servlet> servletRegistrationBean = new ServletRegistrationBean<Servlet>(new StatViewServlet(), "/druid/*"); //白名单:
// servletRegistrationBean.addInitParameter("allow","127.0.0.1,139.196.87.48");
//IP黑名单 (存在共同时,deny优先于allow) : 如果满足deny的话提示:Sorry, you are not permitted to view this page.
servletRegistrationBean.addInitParameter("deny","192.168.1.119");
//登录查看信息的账号密码, 用于登录Druid监控后台
servletRegistrationBean.addInitParameter("loginUsername", "admin");
servletRegistrationBean.addInitParameter("loginPassword", "admin");
//是否能够重置数据.
servletRegistrationBean.addInitParameter("resetEnable", "true");
return servletRegistrationBean;
} /**
* 注册Filter信息, 监控拦截器
* @return
*/
@Bean
@ConditionalOnMissingBean
public FilterRegistrationBean<Filter> filterRegistrationBean() {
FilterRegistrationBean<Filter> filterRegistrationBean = new FilterRegistrationBean<Filter>();
filterRegistrationBean.setFilter(new WebStatFilter());
filterRegistrationBean.addUrlPatterns("/*");
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
return filterRegistrationBean;
}
}
resources目录下添加log4j参数配置文件
### set log levels ###
log4j.rootLogger = INFO,DEBUG, console, infoFile, errorFile ,debugfile,mail
LocationInfo=true log4j.appender.console = org.apache.log4j.ConsoleAppender
log4j.appender.console.Target = System.out
log4j.appender.console.layout = org.apache.log4j.PatternLayout log4j.appender.console.layout.ConversionPattern =[%d{yyyy-MM-dd HH:mm:ss,SSS}]-[%p]:%m %x %n log4j.appender.infoFile = org.apache.log4j.DailyRollingFileAppender
log4j.appender.infoFile.Threshold = INFO
log4j.appender.infoFile.File = C:/logs/log
log4j.appender.infoFile.DatePattern = '.'yyyy-MM-dd'.log'
log4j.appender.infoFile.Append=true
log4j.appender.infoFile.layout = org.apache.log4j.PatternLayout
log4j.appender.infoFile.layout.ConversionPattern =[%d{yyyy-MM-dd HH:mm:ss,SSS}]-[%p]:%m %x %n log4j.appender.errorFile = org.apache.log4j.DailyRollingFileAppender
log4j.appender.errorFile.Threshold = ERROR
log4j.appender.errorFile.File = C:/logs/error
log4j.appender.errorFile.DatePattern = '.'yyyy-MM-dd'.log'
log4j.appender.errorFile.Append=true
log4j.appender.errorFile.layout = org.apache.log4j.PatternLayout
log4j.appender.errorFile.layout.ConversionPattern =[%d{yyyy-MM-dd HH:mm:ss,SSS}]-[%p]:%m %x %n log4j.appender.debugfile = org.apache.log4j.DailyRollingFileAppender
log4j.appender.debugfile.Threshold = DEBUG
log4j.appender.debugfile.File = C:/logs/debug
log4j.appender.debugfile.DatePattern = '.'yyyy-MM-dd'.log'
log4j.appender.debugfile.Append=true
log4j.appender.debugfile.layout = org.apache.log4j.PatternLayout
log4j.appender.debugfile.layout.ConversionPattern =[%d{yyyy-MM-dd HH:mm:ss,SSS}]-[%p]:%m %x %n

编译运行

  • 启动应用,访问http://localhost:8001/druid/login.html,如下:

  • 用户名与密码为DriudConfig中配置的登录账号和密码:admin/admin

Spring boot 集成 Druid 数据源的更多相关文章

  1. Spring Boot集成Druid数据库连接池

    1. 前言 Druid数据库连接池由阿里巴巴开源,号称是java语言中最好的数据库连接池,是为监控而生的.Druid的官方地址是:https://github.com/alibaba/druid 通过 ...

  2. spring boot基于DRUID数据源密码加密及数据源监控实现

    前言 随着需求和技术的日益革新,spring boot框架是越来越流行,她也越来越多地出现在我们的项目中,当然最主要的原因还是因为spring boot构建项目实在是太爽了,构建方便,开发简单,而且效 ...

  3. spring boot 集成Druid

    Druid是阿里巴巴开源平台上一个数据库连接池实现,它结合了C3P0.DBCP.PROXOOL等DB池的优点,同时加入了日志监控,可以很好的监控DB池连接和SQL的执行情况,可以说是针对监控而生的DB ...

  4. spring boot 集成 druid

    写在前面 因为在用到spring boot + mybatis的项目时候,经常发生访问接口卡,服务器项目用了几天就很卡的甚至不能访问的情况,而我们的项目和数据库都是好了,考虑到可能是数据库连接的问题, ...

  5. spring boot集成多数据源过程以及错误

    https://blog.csdn.net/aa456aaxxx/article/details/80346703 出现BindingException错误  解决如下 https://my.osch ...

  6. Spring Boot [使用 Druid 数据库连接池]

    导读 最近一段时间比较忙,以至于很久没有更新Spring Boot系列文章,恰好最近用到Druid, 就将Spring Boot 使用 Druid作为数据源做一个简单的介绍. Druid介绍: Dru ...

  7. Spring Boot + Spring Cloud 实现权限管理系统 后端篇(七):集成 Druid 数据源

    数据库连接池负责分配.管理和释放数据库连接,它允许应用程序重复使用一个现有的数据库连接,而不是再重新建立一个:释放空闲时间超过最大空闲时间的数据库连接来避免因为没有释放数据库连接而引起的数据库连接遗漏 ...

  8. Spring Boot:集成Druid数据源

    综合概述 数据库连接池负责分配.管理和释放数据库连接,它允许应用程序重复使用一个现有的数据库连接,而不是再重新建立一个:释放空闲时间超过最大空闲时间的数据库连接来避免因为没有释放数据库连接而引起的数据 ...

  9. 14、Spring Boot 2.x 集成 Druid 数据源

    14.Spring Boot 2.x 集成 Druid 数据源 完整源码: Spring-Boot-Demos

随机推荐

  1. win10 我的电脑下面的六个文件夹的隐藏

      第一步   第二步     第三步 修改注册表,要隐藏那个文件夹,ThisPCPolicy 改为 "Hide" 修改我的文档的注册表值,使我的文档文件夹隐藏     <w ...

  2. HTML/CSS:图片居中(水平居中和垂直居中)

    css图片居中(水平居中和垂直居中) css图片居中分css图片水平居中和垂直居中两种情况,有时候还需要图片同时水平垂直居中, 下面分几种居中情况分别介绍: css图片水平居中 1.利用margin: ...

  3. Re-Architecting the Video Gatekeeper(一)

    原文 https://medium.com/netflix-techblog/re-architecting-the-video-gatekeeper-f7b0ac2f6b00 本文介绍了了内容配置工 ...

  4. Tomcat源码分析 (四)----- Pipeline和Valve

    在 Tomcat源码分析 (二)----- Tomcat整体架构及组件 中我们简单分析了一下Pipeline和Valve,并给出了整体的结构图.而这一节,我们将详细分析Tomcat里面的源码. Val ...

  5. spring事务在实际项目开发中的使用

      一, 事务的一些基础知识简单回顾一下,讲的不是很深入,网上博客很多. 1,关于事务的四大特性:原子性.隔离性.一致性.隔离性 本文不再赘述: 2,事务的隔离级别:读未提交,读已提交,可重复读,串行 ...

  6. node.js 初学 自我笔记整理 day01

     node.js   概念问题: Node.js 是一个基于 Chrome V8 引擎的 JavaScript 运行环境.   npm是一个node的包管理工具  ,也是一个网站  ,还是一条命令.N ...

  7. MySQL之binlog日志

    一.什么是binlog binlog 是一个二进制格式的文件,用于记录用户对数据库 更新的SQL语句 信息,例如更改数据库表和更改内容的SQL语句都会记录到binlog里,但是对库表等内容的查询不会记 ...

  8. mybatis 源码分析(七)KeyGenerator 详解

    一.KeyGenerator 概述 在平时开发的时候经常会有这样的需求,插入数据返回主键,或者插入数据之前需要获取主键,这样的需求在 mybatis 中也是支持的,其中主要的逻辑部分就在 KeyGen ...

  9. HDU 6634 网络流最小割模型 启发式合并

    如果我们先手拿完所有苹果再去考虑花费的话. S -> 摄像头 -> 苹果 -> T 就相当于找到一个最小割使得S和T分开. ans = sum - flow. 然后对于这一个模型, ...

  10. LeetCode939 最小面积矩形

    LeetCode939最小面积矩形 给定在 xy 平面上的一组点,确定由这些点组成的矩形的最小面积,其中矩形的边平行于 x 轴和 y 轴. 如果没有任何矩形,就返回 0. Input [[1,1],[ ...