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Spring Boot 整合Druid搭建初始化项目

分类: 文章 • 2024-02-05 15:26:52

前言

项目组要搭建一个xxx的后台管理系统
技术选型：
项目：Spring Boot
数据库连接池：Druid
数据库：Oracle或者mysql
JS：VueJS
Html和CSS：Boostrap

一、搭建Spring Boot框架

step1
https://start.spring.io/ 进入此URL，在左边两栏配置自己的GroupID和ArtifactID，在右边栏配置自己需要的一些maven依赖，如web，mysql connector等。点击Generate Project下载配置好的项目zip包。

Spring Boot 整合Druid搭建初始化项目
start

step2
如果你使用idea或者eclipse（需要安装spring boot插件）也可以快速生成一个项目，idea如下图
Spring Boot 整合Druid搭建初始化项目
start

step3
由于项目比较简单，并发量不大，直接使用界面的mybatis generator 去https://github.com/zouzg/mybatis-generator-gui.git clone下来，maven编译后启动，连接你的数据库就可以使用它来快速生成dao层和mapper文件及model了。
Spring Boot 整合Druid搭建初始化项目
generator

step4
数据库dao层，model，mappers文件都已经生成完了，我们应该连接一下数据库试试了，Druid数据库配置如下：

# 数据库访问配置
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=oracle.jdbc.driver.OracleDriver
spring.datasource.url=jdbc:oracle:thin:@ip:port:oratest
spring.datasource.username=xxx
spring.datasource.password=xxx
# 下面为连接池的补充设置，应用到上面所有数据源中
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
# 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
spring.datasource.logSlowSql=true
#这里注意增加一个mappers文件的位置，不然会报错
mybatis.mapperLocations=classpath*:mappers/*.xml

光有上面的配置还不行，还需要一个configuration配置，configuration相当于xml文件里面的bean配置，创建的时候直接复制粘贴就行了

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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 javax.sql.DataSource;
import java.sql.SQLException;
@Configuration
public class DruidConfig {
    private Logger logger = LoggerFactory.getLogger(DruidConfig.class);
    @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("${spring.datasource.filters}")
    private String filters;
    @Value("${spring.datasource.logSlowSql}")
    private String logSlowSql;
    @Bean
    public ServletRegistrationBean druidServlet() {
        ServletRegistrationBean reg = new ServletRegistrationBean();
        reg.setServlet(new StatViewServlet());
        reg.addUrlMappings("/druid/*");
        reg.addInitParameter("loginUsername", username);
        reg.addInitParameter("loginPassword", password);
        reg.addInitParameter("logSlowSql", logSlowSql);
        return reg;
    }
    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
        filterRegistrationBean.setFilter(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        filterRegistrationBean.addInitParameter("profileEnable", "true");
        return filterRegistrationBean;
    }
    @Bean
    public DataSource druidDataSource() {
        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);
        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);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            logger.error("druid configuration initialization filter", e);
        }
        return datasource;
    }

}

不出意外你上面的configuration应该会飘红，因为你没有配置pom文件的依赖。把下面的依赖引入进去，如果你使用的是mysql的connector，就引入mysql的依赖

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.0.5</version>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>1.3.1</version>
        </dependency>
        <!--下面是oracle的连接器-->
        <dependency>
            <groupId>com.oracle</groupId>
            <artifactId>ojdbc6</artifactId>
            <version>12.1.0.1-atlassian-hosted</version>
            <exclusions>
                <exclusion>
                    <groupId>cglib</groupId>
                    <artifactId>cglib</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <!--下面是mysql的连接器-->
        <dependency>
        <groupId>mysql</groupId>
        <artifactId>mysql-connector-java</artifactId>
        <scope>runtime</scope>
    </dependency>

以为上面配置结束就可以开心的马骝了？NONONO！还有个坑呢，主文件里需要添加@MapperScan，参数为你dao接口的路径，否则就会报bean的相关异常哦！

@MapperScan("com.netease.paygateway.dao")
@SpringBootApplication
public class PaygatewayApplication {

    public static void main(String[] args) {
        SpringApplication.run(PaygatewayApplication.class, args);
    }
}

step4
写一个Junit测试类测一测，在main目录的兄弟目录test下创建一个测试类，也可以在某个dao类直接使用ctrl+shift+T（idea），在类上右键新建junit（eclipse）。注意添加两个注解，@SpringBootTest里面的注解就是你的主类Application。

@RunWith(SpringRunner.class)
@SpringBootTest(classes = PaygatewayApplication.class)
public class ChargeServiceTest {

    @Autowired
    ChargeDAO chargeDAO;

    @Test
    public void getChargeVOList() {
        ChargeVOExample example = new ChargeVOExample();
        example.createCriteria().andChargeIdEqualTo("2018052415GCR30503164");
        List<ChargeVO> result = chargeDAO.selectByExample(example);
        System.out.println(result);
    }
}

Druid的精简化配置

step1
添加依赖 Druid各版本Starter

<dependency>
   <groupId>com.alibaba</groupId>
   <artifactId>druid-spring-boot-starter</artifactId>
   <version>1.1.10</version>
</dependency>

step2
application.yml配置

spring:
  application:
    name: springboot-test-exam1
  datasource:
    # 使用阿里的Druid连接池
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.jdbc.Driver
    # 配置jdbc
    url: jdbc:mysql://localhost:3306/dbname?useSSL=false&characterEncoding=utf8
    username: root
    password: root
    # 配置连接池
    druid:
      # 初始化大小，最小，最大
      initial-size: 5
      min-idle: 5
      maxActive: 20
      # 配置获取连接等待超时的时间
      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
      timeBetweenEvictionRunsMillis: 60000
      # 配置一个连接在池中最小生存的时间，单位是毫秒
      minEvictableIdleTimeMillis: 300000
      validationQuery: SELECT 1 FROM DUAL
      testWhileIdle: true
      testOnBorrow: false
      testOnReturn: false
      # 打开PSCache，并且指定每个连接上PSCache的大小
      poolPreparedStatements: true
      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
      filters: stat,wall,log4j
      # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
      connectionProperties: druid.stat.mergeSql\=true;druid.stat.slowSqlMillis\=5000
      # 配置DruidStatFilter
      web-stat-filter:
        enabled: true
        url-pattern: "/*"
        exclusions: "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*"
      # 配置DruidStatViewServlet
      stat-view-servlet:
        url-pattern: "/druid/*"
        # IP白名单(没有配置或者为空，则允许所有访问)
        allow: 127.0.0.1,192.168.163.1
        # IP黑名单 (存在共同时，deny优先于allow)
        deny: 192.168.1.73
        #  禁用HTML页面上的“Reset All”功能
        reset-enable: false
        # 登录名
        login-username: admin
        # 登录密码
        login-password: 123456

properties版本

server.port=8080
spring.application.name=test
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://localhost:3306/databaseName?useSSL=false&characterEncoding=utf8
spring.datasource.username=root
spring.datasource.password=root
spring.datasource.druid.initial-size=5
spring.datasource.druid.min-idle=5
spring.datasource.druid.maxActive=20
spring.datasource.druid.maxWait=60000
spring.datasource.druid.timeBetweenEvictionRunsMillis=60000
spring.datasource.druid.minEvictableIdleTimeMillis=300000
spring.datasource.druid.validationQuery=SELECT 1 FROM DUAL
spring.datasource.druid.testWhileIdle=true
spring.datasource.druid.testOnBorrow=false
spring.datasource.druid.testOnReturn=false
spring.datasource.druid.poolPreparedStatements=true
spring.datasource.druid.maxPoolPreparedStatementPerConnectionSize=20
spring.datasource.druid.filters=stat,wall,log4j
spring.datasource.druid.connectionProperties=druid.stat.mergeSql\=true;druid.stat.slowSqlMillis\=5000
spring.datasource.druid.web-stat-filter.enabled=true
spring.datasource.druid.web-stat-filter.url-pattern=/*
spring.datasource.druid.web-stat-filter.exclusions=*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*
spring.datasource.druid.stat-view-servlet.url-pattern=/druid/*
spring.datasource.druid.stat-view-servlet.allow=127.0.0.1,192.168.163.1
spring.datasource.druid.stat-view-servlet.deny=192.168.1.73
spring.datasource.druid.stat-view-servlet.reset-enable=false
spring.datasource.druid.stat-view-servlet.login-username=admin
spring.datasource.druid.stat-view-servlet.login-password=123456

step3
访问：http://localhost:8080/druid/，登录名：admin，密码123456

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