SpringBoot使用Druid数据源的配置方法_Java教程

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

									<!-- jdbctemplate -->

									<dependency>

									  <groupid>org.springframework.boot</groupid>

									  <artifactid>spring-boot-starter-jdbc</artifactid>

									</dependency>

									<!-- druid数据库连接池 -->

									<dependency>

									  <groupid>com.alibaba</groupid>

									  <artifactid>druid</artifactid>

									  <version>1.0.26</version>

									</dependency>

									<!-- mysql connector -->

									<dependency>

									  <groupid>mysql</groupid>

									  <artifactid>mysql-connector-java</artifactid>

									  <scope>runtime</scope>

									</dependency>

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;

									/**

									 * @author zh

									 * @classname cn.aduu.config.druidconfiguration

									 * @description

									 */

									@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;

									  }

									  /**

									   * 注册一个statviewservlet

									   * @return

									   */

									  @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/*");

									    //添加初始化参数：initparams

									    //白名单：

									    servletregistrationbean.addinitparameter("allow","127.0.0.1");

									    //ip黑名单 (存在共同时，deny优先于allow) : 如果满足deny的话提示:sorry, you are not permitted to view this page.

									    servletregistrationbean.addinitparameter("deny","192.168.1.73");

									    //登录查看信息的账号密码.

									    servletregistrationbean.addinitparameter("loginusername","admin");

									    servletregistrationbean.addinitparameter("loginpassword","123456");

									    //是否能够重置数据.

									    servletregistrationbean.addinitparameter("resetenable","false");

									    return servletregistrationbean;

									  }

									  /**

									   * 注册一个：filterregistrationbean

									   * @return

									   */

									  @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。

SpringBoot使用Druid数据源的配置方法

五、测试

									@restcontroller

									public class hellocontroller{

									  private static final logger logger = loggerfactory.getlogger(hellocontroller.class);

									  @autowired

									  private jdbctemplate jdbctemplate;

									  @requestmapping("hello")

									  public list<map<string, object>> hello() {

									    list<map<string, object>> 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"

									  }

									]