SpringBoot使用Druid数据源的配置方法

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连接池(据说是目前最好的连接池)

一、依赖

为了测试，使用jdbcTemplate

  org.springframework.boot
  spring-boot-starter-jdbc



  com.alibaba
  druid
  1.0.26



  mysql
  mysql-connector-java
  runtime

二、Druid配置

druid.properties
#数据库设置
spring.datasource.driverClassName=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://localhost:3306/uu_core?useUnicode=true&characterEncoding=utf8&autoReconnect=true&useSSL=true
spring.datasource.username=root
spring.datasource.password=root
#--------------------------
# 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=1
spring.datasource.maxActive=50
# 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=false
#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

三、实例化Druid Datasource

package cn.aduu.config;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.PropertySource;
import javax.sql.DataSource;

@Configuration
@PropertySource(value = "classpath:druid.properties")
public class DruidConfiguration {
  @Bean(destroyMethod = "close", initMethod = "init")
  @ConfigurationProperties(prefix = "spring.datasource")
  public DataSource druidDataSource() {
    DruidDataSource druidDataSource = new DruidDataSource();
    return druidDataSource;
  }
  
  @Bean
  public ServletRegistrationBean druidStatViewServlet(){
    //org.springframework.boot.context.embedded.ServletRegistrationBean提供类的进行注册.
    ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid
  @Bean
  public FilterRegistrationBean druidStatFilter(){
    FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
    //添加过滤规则.
    filterRegistrationBean.addUrlPatterns("/*");
    //添加不需要忽略的格式信息.
    filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
    return filterRegistrationBean;
  }
}

四、监控

访问 http://localhost:8080/druid， 使用上面配置的账号密码。

五、测试

@RestController
public class HelloController{
  private static final Logger logger = LoggerFactory.getLogger(HelloController.class);
  @Autowired
  private JdbcTemplate jdbcTemplate;
  @RequestMapping("hello")
  public List> hello() {
    List> list = jdbcTemplate.queryForList("SELECt user,password FROM mysql.user ", new Object[]{});
    return list;
  }
}

访问 localhost:8080/hello

[
  {
    "user": "root",
    "password": "*81F5E21E35407D884A6CD4A731AEBFB6AF209E1B"
  },
  {
    "user": "root",
    "password": "*81F5E21E35407D884A6CD4A731AEBFB6AF209E1B"
  }
]

总结

以上所述是小编给大家介绍的SpringBoot使用Druid数据源，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对考高分网网站的支持！