Bagaimana untuk mengintegrasikan sumber data Druid dalam SpringBoot

1. Struktur pangkalan data

2. Struktur projek

fail 3.pom.xml

<dependencies>
  <dependency>
    <groupid>org.springframework.boot</groupid>
    <artifactid>spring-boot-starter-jdbc</artifactid>
  </dependency>
  <dependency>
    <groupid>mysql</groupid>
    <artifactid>mysql-connector-java</artifactid>
    <scope>runtime</scope>
  </dependency>
 
  <!--引入druid数据源 -->
  <!-- https://mvnrepository.com/artifact/com.alibaba/druid -->
  <dependency>
    <groupid>com.alibaba</groupid>
    <artifactid>druid</artifactid>
    <version>1.1.8</version>
  </dependency>
 
  <!-- https://mvnrepository.com/artifact/log4j/log4j -->
  <!-- 如果 不加入这依赖    配置监控统计拦截的filters时  这个会报错 filters: stat,wall,log4j  -->
  <dependency>
    <groupid>log4j</groupid>
    <artifactid>log4j</artifactid>
    <version>1.2.17</version>
  </dependency>
 
  <dependency>
    <groupid>org.springframework.boot</groupid>
    <artifactid>spring-boot-starter-web</artifactid>
  </dependency>
 
 
  <dependency>
    <groupid>org.springframework.boot</groupid>
    <artifactid>spring-boot-starter-test</artifactid>
    <scope>test</scope>
  </dependency>
</dependencies>
 
<build>
  <plugins>
    <plugin>
      <groupid>org.springframework.boot</groupid>
      <artifactid>spring-boot-maven-plugin</artifactid>
    </plugin>
  </plugins>
</build>　

fail konfigurasi 4.application.yml

spring:
 datasource:
  username: root
  password: wangqing
  url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai
  driver-class-name: com.mysql.jdbc.Driver
  type: com.alibaba.druid.pool.DruidDataSource
 
 
 #  数据源其他配置
  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，去掉后监控界面sql无法统计，'wall'用于防火墙
  filters: stat,wall,log4j
  maxPoolPreparedStatementPerConnectionSize: 20
  useGlobalDataSourceStat: true
  connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
  # 合并多个DruidDataSource的监控数据
  #useGlobalDataSourceStat: true
   
mybatis:
 # 指定全局配置文件位置
 #config-location: classpath:mybatis/mybatis-config.xml
 # 指定sql映射文件位置
 mapper-locations: classpath:mapper/*.xml      #如src/main/resources下的mappers文件下的TUserMapper.xml
 
#  schema:
#   - classpath:sql/department.sql     #根据department.sql 的sql语句创建表
#   - classpath:sql/employee.sql　

5. Cipta kelas konfigurasi DruidConfig dan instantiate Druid Datasource

package com.qingfeng.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 javax.sql.DataSource;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
 
@Configuration
public class DruidConfig {
　　　//指定加载appliction.yml文件里面的spring.datasource开头的
　　　// DruidDataSource类里面的属性与appliction.yml文件里面的spring.datasource开头的对应映射
  @ConfigurationProperties(prefix = "spring.datasource")
  @Bean
  public DataSource druid(){
    return new DruidDataSource();
  }
 
  //配置Druid的监控
  //1、配置一个管理后台的Servlet
  @Bean
  public ServletRegistrationBean statViewServlet(){
    ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
    Map<string> initParams = new HashMap();
 
    initParams.put("loginUsername","admin");
    initParams.put("loginPassword","123456");
    initParams.put("allow","");//默认就是允许所有访问
    initParams.put("deny","");
 
    bean.setInitParameters(initParams);
    return bean;
  }
 
 
  //2、配置一个web监控的filter
  @Bean
  public FilterRegistrationBean webStatFilter(){
    FilterRegistrationBean bean = new FilterRegistrationBean();
    bean.setFilter(new WebStatFilter());
    Map<string> initParams = new HashMap();
    initParams.put("exclusions","*.js,*.css,/druid/*");
    bean.setInitParameters(initParams);
    bean.setUrlPatterns(Arrays.asList("/*"));
    return bean;
  }
}</string></string>

6. Buat ujian kelas UserController

rreee

7. Jalankan projek dan akses http://localhost:8080/query melalui penyemak imbas

8 Kod berikut yang dikonfigurasikan dalam kelas DruidConfig kami boleh membantu kami melaksanakan pemantauan

package com.qingfeng.controller;
 
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.ResponseBody;
 
import java.util.List;
import java.util.Map;
 
@Controller
public class UserController {
 
  @Autowired
  JdbcTemplate jdbcTemplate;
  @ResponseBody
  @GetMapping("/query")
  public Map<string> map(){
    List<map>> list = jdbcTemplate.queryForList("select * FROM user");
    return list.get(0);
  }
}</map></string>

9 Kami memulakan projek dan membuka URL: http://localhost:8080/druid/login.html Anda boleh log masuk untuk melihat pemantauan status sumber data druid

Apa yang kami tetapkan di atas ialah nama pengguna: admin Kata laluan: 123456

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