spring boot druid Spring Boot使用和配置Druid

<!--druid-->
<dependency>
  <groupId>com.alibaba</groupId>
  <artifactId>druid</artifactId>
  <version>1.0.27</version>
</dependency>

spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://localhost:3306/xxxxx?characterEncoding=utf8&useSSL=true&verifyServerCertificate=false
spring.datasource.username=root
spring.datasource.password=xxxxx
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
# 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

spring.jpa.database=mysql
spring.jpa.show-sql=true
spring.jpa.hibernate.ddl-auto=update
spring.jpa.properties.hibernate.dialect = org.hibernate.dialect.MySQL5Dialect
#懒加载配置
spring.jpa.properties.hibernate.enable_lazy_load_no_trans=true

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.beans.factory.annotation.Value;
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.Primary;
import javax.sql.DataSource;import java.sql.SQLException;

@Configuration
public class DruidConfiguration {
  @Value("${spring.datasource.url}")
  private String dbUrl;
  @Value("${spring.datasource.username}")
  private String username;
  @Value("${spring.datasource.password}")
  private String password;
  @Value("${spring.datasource.driver-class-name}")
  private String driverClassName;
  @Value("${spring.datasource.initialSize}")
  private int initialSize;
  @Value("${spring.datasource.minIdle}")
  private int minIdle;
  @Value("${spring.datasource.maxActive}")
  private int maxActive;
  @Value("${spring.datasource.maxWait}")
  private int maxWait;
  @Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
  private int timeBetweenEvictionRunsMillis;
  @Value("${spring.datasource.minEvictableIdleTimeMillis}")
  private int minEvictableIdleTimeMillis;
  @Value("${spring.datasource.validationQuery}")
  private String validationQuery;
  @Value("${spring.datasource.testWhileIdle}")
  private boolean testWhileIdle;
  @Value("${spring.datasource.testOnBorrow}")
  private boolean testOnBorrow;
  @Value("${spring.datasource.testOnReturn}")
  private boolean testOnReturn;
  @Value("${spring.datasource.poolPreparedStatements}")
  private boolean poolPreparedStatements;
  @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
  private int maxPoolPreparedStatementPerConnectionSize;
  @Value("${spring.datasource.filters}")
  private String filters;
  @Value("{spring.datasource.connectionProperties}")
  private String connectionProperties;

  @Bean   //声明其为Bean实例
  @Primary //在同样的DataSource中，首先使用被标注的DataSource
  public DataSource dataSource(){
    DruidDataSource datasource = new DruidDataSource();
    datasource.setUrl(this.dbUrl);
    datasource.setUsername(username);
    datasource.setPassword(password);
    datasource.setDriverClassName(driverClassName);

    //configuration
    datasource.setInitialSize(initialSize);
    datasource.setMinIdle(minIdle);
    datasource.setMaxActive(maxActive);
    datasource.setMaxWait(maxWait);
    datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
    datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
    datasource.setValidationQuery(validationQuery);
    datasource.setTestWhileIdle(testWhileIdle);
    datasource.setTestOnBorrow(testOnBorrow);
    datasource.setTestOnReturn(testOnReturn);
    datasource.setPoolPreparedStatements(poolPreparedStatements);
    datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
    try {
      datasource.setFilters(filters);
    } catch (SQLException e) {
      System.err.println("druid configuration initialization filter: "+ e);
    }
    datasource.setConnectionProperties(connectionProperties);
    return datasource;
  }

  @Bean
  public ServletRegistrationBean statViewServle(){
    ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
    // IP白名单
    servletRegistrationBean.addInitParameter("allow","192.168.1.218,127.0.0.1");
    // 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","druid");
    servletRegistrationBean.addInitParameter("loginPassword","761341");
    //是否能够重置数据
    servletRegistrationBean.addInitParameter("resetEnable","false");
    return servletRegistrationBean;
  }

  @Bean
  public FilterRegistrationBean statFilter(){
    FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
    //添加过滤规则
    filterRegistrationBean.addUrlPatterns("/*");
    //忽略过滤的格式
    filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
    return filterRegistrationBean;
  }
}