druid可以很好的监控BD连接池和sql的执行情况;
使用Druid数据源;
- 引入Druid依赖;
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>${druid-version}</version> <!--可以直接使用版本号-->
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
- 在配置文件中指定使用该数据源,这里由于在springboot中使用,所以在application配置文件中配置指定数据源;
spring:
datasource:
username: 账号
password: 密码
url: jdbc:mysql://localhost:3306/test?characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&useSSL=false
driver-class-name: com.mysql.cj.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
- 配置需要的相应属性;
以下信息springboot默认没有自动配置。需要自己手动配置;
initialSize: 5
minIdle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
#配置监控统计拦截的filters,stat:监控统计、log4j:日志记录、wall:防御sql注入
#如果允许时报错 java.lang.ClassNotFoundException: org.apache.log4j.Priority
#则导入 log4j 依赖即可,Maven 地址: https://mvnrepository.com/artifact/log4j/log4j
filters: stat,wall,log4j
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
- 将spring.datasource的所有配置属性与Bean绑定起来,使用config与其绑定;
@Configuration
public class DruidConfig{
@ConfigurationProperties(prefix = "spring.datasource")
@Bean
public DataSource druidDataSource(){
return new DruidDataSource();
}
//后台监控
@Bean
public ServletRegistrationBean statViewServlet(){
ServletRegistrationBean<StatViewServlet> bean = new ServletRegistrationBean<>(new StatViewServlet(), "/druid/*");
//后台需要有人登录,配置账号密码
HashMap<String,String> initParameter=new HashMap<>();
//增加配置
initParameter.put("loginUsername","admin"); //key 为固定值
initParameter.put("loginPassword","123456");
//允许谁可访问
initParameter.put("allow",""); //key 为固定值, value 为空则表示所有人可访问;
//初始化参数
bean.setInitParameters(initParameter);
return bean;
}
}
访问http://localhost:8080/druid/login.html即可;
配置过滤;
//过滤器
public FilterRegistrationBean webStatFilter(){
FilterRegistrationBean<Filter> bean = new FilterRegistrationBean();
bean.setFilter(new WebStatFilter());
//过滤请求
Map<String, String> initParameters = new HashMap<>();
//以下资源不进行统计
initParameters.put("exclusions","*.js,*.css,/druid/*");
bean.setInitParameters(initParameters);
return bean;
}
附加日志配置文件(log4j.properties)
#配置根 Logger
log4j.rootLogger=INFO , appender1
#配置日志信息输出目的地(appender)
#appender1 输出到控制台
log4j.appender.appender1=org.apache.log4j.ConsoleAppender
log4j.appender.appender1.Threshold=INFO
log4j.appender.appender1.Target=System.out
log4j.appender.appender1.layout=org.apache.log4j.PatternLayout
log4j.appender.appender1.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %c{1}:%L %5p - %m%n
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