Druid是Java語言中最好的數據庫連接池,能夠提供強大的sql監控和擴展功能。業界把 Druid 和 HikariCP 做對比後,雖說 HikariCP 的性能比 Druid 高,但是因爲 Druid 包括很多維度的統計和分析功能,所以這也是大家都選擇使用它的原因。
首先在maven工程pom.xml中增加:
<!-- druid數據連接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.0</version>
</dependency>
第二、配置druid_datasource.properties
spring.datasource.url=jdbc:mysql://ip:3306/XXX?useUnicode=true&characterEncoding=utf-8&useSSL=false
spring.datasource.username=root
spring.datasource.password=root
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
# 下面爲連接池的補充設置,應用到上面所有數據源中
# 初始化大小,最小,最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置獲取連接等待超時的時間
spring.datasource.maxWait=60000
# 配置間隔多久才進行一次檢測,檢測需要關閉的空閒連接,單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一個連接在池中最小生存的時間,單位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打開PSCache,並且指定每個連接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置監控統計攔截的filters,去掉後監控界面sql無法統計,'wall'用於防火牆
spring.datasource.filters=stat,wall,log4j
# 通過connectProperties屬性來打開mergeSql功能;慢SQL記錄
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合併多個DruidDataSource的監控數據
# spring.datasource.druid.useGlobalDataSourceStat=true
三、接着向SpringBoot容器配置druid:
@Configuration
public class DruidConfiguration {
/**
* 註冊一個:ServletRegistrationBean
* @return
*/
@Bean
public ServletRegistrationBean DruidStatViewServle2() {
//org.springframework.boot.context.embedded.ServletRegistrationBean提供類的進行註冊.
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
//添加初始化參數:initParams
//登錄用戶名:
servletRegistrationBean.addInitParameter("allow","127.0.0.1");
//IP黑名單 (存在共同時,deny優先於allow) : 如果滿足deny的話提示:Sorry, you are not permitted to view this page.
// servletRegistrationBean.addInitParameter("deny", "192.168.1.1");
//登錄查看信息的賬號密碼.
servletRegistrationBean.addInitParameter("loginUsername","root");
servletRegistrationBean.addInitParameter("loginPassword","123456");
//是否能夠重置數據.
servletRegistrationBean.addInitParameter("resetEnable","false");
return servletRegistrationBean;
}
/**
* 註冊一個:filterRegistrationBean
* @return
*/
@Bean
public FilterRegistrationBean druidStatFilter2(){
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
//添加過濾規則.
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;
}
}
其中上面第三步還有另一種方式,如下:
//增加過濾器
@WebFilter(filterName = "druidWebStatFilter", urlPatterns = "/*",
initParams = {
@WebInitParam(name = "exclusions", value = "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*")// 忽略資源
})
public class DruidStatFilter extends WebStatFilter {
}
使用註解的方式 增加 DruidStatViewServlet.java 服務類
import com.alibaba.druid.support.http.StatViewServlet;
import javax.servlet.annotation.WebInitParam;
import javax.servlet.annotation.WebServlet;
@SuppressWarnings("serial")
@WebServlet(urlPatterns = "/druid/*", initParams = {
@WebInitParam(name = "allow", value = ""), // IP白名單
@WebInitParam(name = "deny", value = ""),
// IP黑名單
@WebInitParam(name = "loginUsername", value = "root"), // 用戶名
@WebInitParam(name = "loginPassword", value = "admin*druid"), // 密碼
@WebInitParam(name = "resetEnable", value = "true")})
public class DruidStatViewServlet extends StatViewServlet {
}
這裏有個很重要的事情一定不要忘了在啓動類中加上servlet的掃描註解
@ServletComponentScan(value = “自己的包”)
@PropertySource(value = “classpath:druid_datasource.properties”, encoding = “utf-8”)
最後,按理說現在druid就搭建好了可以通過http://localhost:8080/druid/index.html進行正常訪問了,但是在操作中我發現sql監控並沒有起到作用