添加druid的依赖文件
<mysql-connector-java.version>8.0.11</mysql-connector-java.version>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.3</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>${mysql-connector-java.version}</version>
</dependency>
在配置文件中添加数据源的配置
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name = com.mysql.jdbc.Driver
spring.datasource.url= jdbc:mysql://127.0.0.1:3306/guns?useUnicode=true&characterEncoding=utf-8&useSSL=false
spring.datasource.username=root
spring.datasource.password=123456
# 下面为连接池的补充设置,应用到上面所有数据源中
# 初始化大小,最小,最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置获取连接等待超时的时间
spring.datasource.maxWait=60000
# 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间,单位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1 FROM DUAL
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打开PSCache,并且指定每个连接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置监控统计拦截的filters,去掉后监控界面sql无法统计,\'wall\'用于防火墙
spring.datasource.filters=stat,wall,log4j
# 通过connectProperties属性来打开mergeSql功能;慢SQL记录
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多个DruidDataSource的监控数据
#spring.datasource.useGlobalDataSourceStat=true
需要注意的是:spring.datasource.type旧的spring boot版本是不能识别的。
要添加上面的配置,我们可以通过一个配置类来进行封装,然后在项目通过实体类来获取配置
在配置类中添加
@Bean
@ConfigurationProperties(prefix = "spring.datasource")
public DruidProperties druidProperties() {
return new DruidProperties();
}
具体关于数据源的配置如下
/**
* 单数据源连接池配置,集成druid数据源配置
*/
@Bean
public DruidDataSource dataSource(DruidProperties druidProperties) {
DruidDataSource dataSource = new DruidDataSource();
druidProperties.config(dataSource);
return dataSource;
}
/**
* 配置数据库的注册servlet,用于页面展示监控结果
*/
@Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
// IP白名单,没有填空就行,不用填*
servletRegistrationBean.addInitParameter("allow", "");
// IP黑名单(共同存在时,deny优先于allow)
servletRegistrationBean.addInitParameter("deny", "192.168.1.100");
//控制台管理用户
servletRegistrationBean.addInitParameter("loginUsername", "admin");
servletRegistrationBean.addInitParameter("loginPassword", "admin");
//是否能够重置数据 禁用HTML页面上的“Reset All”功能
servletRegistrationBean.addInitParameter("resetEnable", "false");
return servletRegistrationBean;
}
/**
* 配置数据源过滤器,WebStatFilter用于对web-jdbc监控
*/
@Bean
public FilterRegistrationBean filterRegistrationBean() {
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
filterRegistrationBean.addUrlPatterns("/*");
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
return filterRegistrationBean;
}
我们也可以对我们的应用接口进行监控,看访问情况,druid提供了与spring的整合,是通过AOP的形式进行配置:
// druid提供的拦截器
@Bean
public DruidStatInterceptor druidStatInterceptor(){
return new DruidStatInterceptor();
}
// 提供拦截器切点
@Bean
public JdkRegexpMethodPointcut druidStatPointcut(){
JdkRegexpMethodPointcut druidStatPointcut = new JdkRegexpMethodPointcut();
String patterns = "com.*.*.service.*";
String patterns2 = "com.*.*.mapper.*";
druidStatPointcut.setPatterns(patterns,patterns2);
return druidStatPointcut;
}
// 提供拦截器通知
@Bean
public Advisor druidStatAdvisor() {
return new DefaultPointcutAdvisor(druidStatPointcut(), druidStatInterceptor());
}
druid针对springboot提供了自己的依赖,用于简化与springboot的集成配置,具体配置可参考
druid配置springboot2.0另一种方式