SpringBoot整合Druid数据连接池

Druid是什么?

Druid是Alibaba开源的的数据库连接池。Druid能够提供强大的监控和扩展功能。

在哪里下载druid

maven中央仓库: http://central.maven.org/maven2/com/alibaba/druid/

怎么获取Druid的源码

Druid是一个开源项目,源码托管在github上,源代码仓库地址是 https://github.com/alibaba/druid。同时每次Druid发布正式版本和快照的时候,都会把源码打包,你可以从上面的下载地址中找到相关版本的源码

怎么配置maven

<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<!-- 可通过中央仓库获取最新的版本号,这里用我项目中的版本号 -->
<version>1.0.11</version>
</dependency>

开始配置

  • 首先是 application.properties
# 数据库配置
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
# 注:此处必须用 Druid 的数据源
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.name=test
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/test
spring.datasource.username=root
spring.datasource.password=root
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=10
spring.datasource.maxWait=60000
spring.datasource.timeBetweenEvictionRunsMillis=3600000
spring.datasource.minEvictableIdleTimeMillis=3600000
spring.datasource.validationQuery=select 'x'
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=true
spring.datasource.testOnReturn=false
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
spring.datasource.filters=stat,wall,slf4j
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
spring.datasource.useGlobalDataSourceStat=true # druid 登录信息
druid.config.user-name=root
druid.config.password=root
druid.config.url-mapping=/druid/*
  • 封装数据库配置到 Java Bean
@Configuration
@ConfigurationProperties(prefix = "spring.datasource")
public class DBProperties {
private String url;
private String username;
private String password;
private String driverClassName;
private int initialSize;
private int minIdle;
private int maxActive;
private int maxWait;
private int timeBetweenEvictionRunsMillis;
private int minEvictableIdleTimeMillis;
private String validationQuery;
private boolean testWhileIdle;
private boolean testOnBorrow;
private boolean testOnReturn;
private boolean poolPreparedStatements;
private int maxPoolPreparedStatementPerConnectionSize;
private String filters;
private String connectionProperties;
private boolean useGlobalDataSourceStat; 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;
} public String getDriverClassName() {
return driverClassName;
} public void setDriverClassName(String driverClassName) {
this.driverClassName = driverClassName;
} 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 int getMaxWait() {
return maxWait;
} public void setMaxWait(int maxWait) {
this.maxWait = maxWait;
} public int getTimeBetweenEvictionRunsMillis() {
return timeBetweenEvictionRunsMillis;
} public void setTimeBetweenEvictionRunsMillis(int timeBetweenEvictionRunsMillis) {
this.timeBetweenEvictionRunsMillis = timeBetweenEvictionRunsMillis;
} public int getMinEvictableIdleTimeMillis() {
return minEvictableIdleTimeMillis;
} public void setMinEvictableIdleTimeMillis(int 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 getConnectionProperties() {
return connectionProperties;
} public void setConnectionProperties(String connectionProperties) {
this.connectionProperties = connectionProperties;
} public boolean isUseGlobalDataSourceStat() {
return useGlobalDataSourceStat;
} public void setUseGlobalDataSourceStat(boolean useGlobalDataSourceStat) {
this.useGlobalDataSourceStat = useGlobalDataSourceStat;
} }
@Configuration
@ConfigurationProperties(prefix = "druid.config")
public class DruidProperties { private String userName; private String password; private String urlMapping; 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;
} public String getUrlMapping() {
return urlMapping;
} public void setUrlMapping(String urlMapping) {
this.urlMapping = urlMapping;
}
}
  • 配置数据源
/**
* 持久层相关配置
*/
@Configuration
public class SessionFactoryConfig { private static final Logger LOGGER = LoggerFactory.getLogger(SessionFactoryConfig.class); private final DBProperties db; @Autowired
public SessionFactoryConfig(DBProperties db) {
this.db = db;
} /**
* 创建数据源
*/
@Bean
// 如果访问 Druid 时数据源页面显示 (*) property for user to setup 可用下面的 Bean 注入方式
// @Bean(destroyMethod = "close", initMethod = "init")
public DruidDataSource druidDataSource() {
final DruidDataSource datasource = new DruidDataSource();
datasource.setUrl(db.getUrl());
datasource.setUsername(db.getUsername());
datasource.setPassword(db.getPassword());
datasource.setDriverClassName(db.getDriverClassName());
datasource.setInitialSize(db.getInitialSize());
datasource.setMinIdle(db.getMinIdle());
datasource.setMaxActive(db.getMaxActive());
datasource.setMaxWait(db.getMaxWait());
datasource.setTimeBetweenEvictionRunsMillis(db.getTimeBetweenEvictionRunsMillis());
datasource.setMinEvictableIdleTimeMillis(db.getMinEvictableIdleTimeMillis());
datasource.setValidationQuery(db.getValidationQuery());
datasource.setTestOnReturn(db.isTestOnReturn());
datasource.setPoolPreparedStatements(db.isPoolPreparedStatements());
datasource.setMaxPoolPreparedStatementPerConnectionSize(db.getMaxPoolPreparedStatementPerConnectionSize());
datasource.setUseGlobalDataSourceStat(db.isUseGlobalDataSourceStat());
try {
datasource.setFilters(db.getFilters());
} catch (SQLException e) {
log.info("setFilters Exception ={}", e);
}
datasource.setConnectionProperties(db.getConnectionProperties());
return datasource;
}
}
  • Druid连接池配置
/**
* Druid连接池配置
*/
@Configuration
public class DruidConfiguration { private static final Logger LOGGER = LoggerFactory.getLogger(DruidConfiguration.class); private final DruidProperties druidProperties; @Autowired
public DruidConfiguration(DruidProperties dp) {
this.druidProperties = dp;
} /**
* 访问路径及用户名、密码
*/
@Bean
public ServletRegistrationBean druidConfig() {
LOGGER.info("init Druid Servlet Configuration ");
final ServletRegistrationBean srb = new ServletRegistrationBean();
srb.setServlet(new StatViewServlet());
LOGGER.info("Druid Config Info --> {}", druidProperties);
srb.addUrlMappings(druidProperties.getUrlMapping());
srb.addInitParameter("loginUsername", druidProperties.getUserName());
srb.addInitParameter("loginPassword", druidProperties.getPassword());
return srb;
} /**
* 配置过滤器
*/
@Bean
public FilterRegistrationBean filterRegistrationBean() {
final FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
filterRegistrationBean.setFilter(new WebStatFilter());
filterRegistrationBean.addUrlPatterns("/*");
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
return filterRegistrationBean;
}
}
  • 委托Druid进行Spring 监控
/**
* 委托Druid进行Spring 监控
*/
@Configuration
public class SpringMonitoringConfig { @Bean(name = "druid-stat-interceptor")
public DruidStatInterceptor druidStatInterceptor() {
return new DruidStatInterceptor();
} @Bean(name = "druid-stat-pointcut")
// 非单例
@Scope("prototype")
public JdkRegexpMethodPointcut druidStatPointcut() {
final JdkRegexpMethodPointcut pointcut = new JdkRegexpMethodPointcut();
// 这里是你Controller包的路径
pointcut.setPatterns("com.xxx.controller.*", "com.xxx.mapper.*");
return pointcut;
} @Bean
public DefaultPointcutAdvisor druidStatAdvisor(@Qualifier("druid-stat-interceptor") final DruidStatInterceptor druidStatInterceptor,
@Qualifier("druid-stat-pointcut") final JdkRegexpMethodPointcut druidStatPointcut) {
final DefaultPointcutAdvisor defaultPointAdvisor = new DefaultPointcutAdvisor();
defaultPointAdvisor.setPointcut(druidStatPointcut);
defaultPointAdvisor.setAdvice(druidStatInterceptor);
return defaultPointAdvisor;
} }



如果出现以上页面,恭喜你。整合 OK

SpringBoot整合Druid数据连接池的更多相关文章

  1. 【SpringBoot笔记】SpringBoot整合Druid数据连接池

    废话少说,按SpringBoot的老套路来. [step1]:添加依赖 <!-- 数据库连接池 --> <dependency> <groupId>com.alib ...

  2. spring boot配置druid数据连接池

    Druid是阿里巴巴开源项目中一个数据库连接池. Druid是一个jdbc组合,包含三个部分, 1.DruidDriver代理Driver,能够提供基于Filter-Chain模式得插件体系2.Dru ...

  3. 【Mysql】SpringBoot阿里Druid数据源连接池配置

    一.pom.xml添加 <!-- 配置数据库连接池 --> <dependency> <groupId>com.alibaba</groupId> &l ...

  4. Springboot整合druid

    目录 Springboot整合druid application.yml DruidConfig 数据监控地址:http://localhost:8080/druid Springboot整合drui ...

  5. 【SpringBoot | Druid】SpringBoot整合Druid

    SpringBoot整合Druid Druid是个十分强大的后端管理工具,具体的功能和用途请问阿里爸爸 1. 在pom.xml中导入包 <!-- alibaba 的druid数据库连接池 --& ...

  6. springboot整合druid、mybatis

    目的: 1.springboot配置数据库连接池druid 测试druid中url监控 2.springboot整合mybatis 测试查删案例 3.springboot整合pagehelper sp ...

  7. Mybatis数据连接池的配置---增删改查(以及遇见的问题)

    1.首先创建项目和各个文件,如图所示: 2.配置相关数据库连接 在jdbc.properties中加入 1 db.driver=com.mysql.jdbc.Driver 2 db.url=jdbc: ...

  8. Hibernate整合C3P0实现连接池

    Hibernate整合C3P0实现连接池 hibernate中可以使用默认的连接池,无论功能与性能都不如C3PO(网友反映,我没有测试过),C3P0是一个开源的JDBC连接池,它实现了数据源和JNDI ...

  9. springboot添加多数据源连接池并配置Mybatis

    springboot添加多数据源连接池并配置Mybatis 转载请注明出处:https://www.cnblogs.com/funnyzpc/p/9190226.html May 12, 2018  ...

随机推荐

  1. C#操作数据表中XML格式的数据

    以前还真没有见过数据表中存储XML格式的数据,刚开始听说的时候,还以为是数据表中有XML的字段类型, 再了解,其实也就是字符串类型的,只不过字符串的格式是XML格式的.确实孤陋寡闻!汗... (可添加 ...

  2. MVVM 简化的Messager类

    看MVVMLight的Messager源码,自己实现了一个简单的Messager类. Messager类可以在MVVM中,实现View与VM.VM与VM.View与View的通信. public cl ...

  3. ICMP与ping:投石问路的侦察兵

    1. ICMP 协议 ICMP全称Internet Control Message Protocol,就是互联网控制报文协议.ping命令就是基于它工作的. ICMP 报文是封装在 IP 包 里面的. ...

  4. 编译lua-5.3.5时出错解决方法

    问题描述: 执行 make linux test 过程出现错误,错误信息如下: “ lua.c:82:31: fatal error: readline/readline.h: No such fil ...

  5. 关于如何食用Xcode——用mac的小蒟蒻

    前言QwQ 对于一只用Mac的小蒟蒻,没有Dev_c++简直太难受了,用在线IDE写代码又没法保存,那么我们怎么办呢? 好在App Store里有这个好东西 所以我们今天来介绍一下 “如何使用Xcod ...

  6. NPOI读取excel文件导出数据, 而此时文件正在打开中抛异常怎么办

    项目中需要用到一些数值表格, 方便起见都是用excel来的. 而如果excel正打开中, 直接使用npoi制作的工具来导出数据的话, 在这一行将会异常: workbook = new XSSFWork ...

  7. 剑指offer三从头到尾打印链表

    一.题目: 输入一个链表,从尾到头打印链表每个节点的值. 二.解题方法: 方法一:采用递归的方式实现 方法二:借助堆栈的“后进先出”实现 import java.util.ArrayList; imp ...

  8. (转)python类:magic魔术方法

    原文:https://blog.csdn.net/pipisorry/article/details/50708812 版权声明:本文为博主皮皮http://blog.csdn.net/pipisor ...

  9. 修改Hosts文件提示没有权限怎么办

    解决办法:给host文件赋予权限 1.打开电脑C盘,在目录C:\Windows\System32\drivers\etc 下找到hosts文件 2.右键hosts文件,选择属性 3.点击hosts属性 ...

  10. 【转】谷歌三大核心技术(一)The Google File System中文版

      The Google File System中文版 译者:alex 摘要 我们设计并实现了Google GFS文件系统,一个面向大规模数据密集型应用的.可伸缩的分布式文件系统.GFS虽然运行在廉价 ...