这篇文章介绍了spring-boot整合mybatis,文章主要介绍了如何使用spring-boot和mybatis连接mysql数据裤,没有涉及到连接池,但现实中我们都会使用一款数据库连接池作为缓冲,提高性能。接下来我们重点介绍druid连接池。

Spring Boot中默认支持的连接池有dbcp,dbcp2, hikari三种连接池,Druid来自于阿里系的一个开源连接池(地址: https://github.com/alibaba/druid),在连接池之外,还提供了非常优秀的监控功能,它包括三部分:

  • DruidDriver 代理Driver,能够提供基于Filter-Chain模式的插件体系。
  • DruidDataSource 高效可管理的数据库连接池。
  • SQLParser

1、pom.xml文件:

<?xml version="1.0" encoding="UTF-8"?>

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>

<packaging>war</packaging>

<groupId>nc.edu.nuc</groupId>
<artifactId>Test</artifactId>
<version>0.0.1-SNAPSHOT</version>

<name>Test</name>

<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.7</maven.compiler.source>
<maven.compiler.target>1.7</maven.compiler.target>

<mybatis-spring-boot>1.2.0</mybatis-spring-boot>
<mysql-connector>5.1.39</mysql-connector>
</properties>

<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.5.RELEASE</version>
</parent>

<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<scope>test</scope>
</dependency>

<!-- spring boot -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
<exclusions>
<exclusion>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-logging</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- Spring Boot log4j依赖 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-log4j</artifactId>
<version>1.3.8.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-tomcat</artifactId>
<scope>provided</scope>
</dependency>
<!-- jsp -->
<dependency>
<groupId>org.apache.tomcat.embed</groupId>
<artifactId>tomcat-embed-jasper</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>jstl</artifactId>
</dependency>

<!-- Spring Boot Mybatis 依赖 -->
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>${mybatis-spring-boot}</version>
</dependency>

<!-- 连接池 -->
<!-- Druid 数据连接池依赖 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.13</version>
</dependency>

<!-- MySQL 连接驱动依赖 -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>

</dependencies>

<build>
<finalName>Test</finalName>
<plugins>
<!-- <plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin> -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-war-plugin</artifactId>
<configuration>
<failOnMissingWebXml>false</failOnMissingWebXml>
</configuration>
</plugin>
</plugins>
</build>
</project>

2、配置连接池:

1)application.properties:

##mysql配置
#spring.datasource.url=jdbc:mysql://jy.ttengine.w.abc.db:1883/ttengine?useUnicode=true&characterEncoding=utf8
#spring.datasource.username=ttengine
#spring.datasource.password=TTengine123
#spring.datasource.driver-class-name=com.mysql.jdbc.Driver
## Mybatis配置
#mybatis.typeAliasesPackage=nc.edu.nuc.Test.entity
#mybatis.mapperLocations=classpath:mapper/*.xml


#---------------------使用durid连接池
ds1.datasource.url=jdbc:mysql://jy.ttengine.w.abc.db:1883/ttengine?useUnicode=true&characterEncoding=utf8
ds1.datasource.username=ttengine
ds1.datasource.password=TTengine123
ds1.datasource.driverClassName=com.mysql.jdbc.Driver

ds1.datasource.initialSize=20
ds1.datasource.minIdle=20
ds1.datasource.maxActive=200
ds1.datasource.maxWait=60000
ds1.datasource.timeBetweenEvictionRunsMillis=60000
ds1.datasource.minEvictableIdleTimeMillis=300000
ds1.datasource.testWhileIdle=true
ds1.datasource.testOnBorrow=false
ds1.datasource.testOnReturn=false
ds1.datasource.poolPreparedStatements=true
ds1.datasource.maxPoolPreparedStatementPerConnectionSize=20

# 页面默认前缀目录
spring.mvc.view.prefix=/WEB-INF/page/
spring.mvc.view.suffix=.jsp

在application.properties中驱动配置信息没有问题,但是spring-boot不支持自动配druid连接池(即无法通过配置项直接支持相应的连接池连接池);这里列出的这些配置项可以通过定制化DataSource来实现,也可以在定制化的DataSource中写死。

2)定置化DataSource类:

package cn.edu.nuc.Test1.dao.mysql.config;

import java.sql.SQLException;
import javax.sql.DataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;
import com.alibaba.druid.pool.DruidDataSource;

@Configuration
//扫描 Mapper 接口并容器管理
@MapperScan(basePackages = DatasourceConfig.PACKAGE, sqlSessionFactoryRef = "sqlSessionFactory")
public class DatasourceConfig {
// 精确到 master 目录,以便跟其他数据源隔离
static final String PACKAGE = "cn.edu.nuc.Test1.dao.mysql";
static final String MAPPER_LOCATION = "classpath:mapper/*.xml";

@Value("${ds1.datasource.url}")
private String url;
@Value("${ds1.datasource.username}")
private String user;
@Value("${ds1.datasource.password}")
private String password;
@Value("${ds1.datasource.driverClassName}")
private String driverClass;

@Value("${ds1.datasource.maxActive}")
private Integer maxActive;
@Value("${ds1.datasource.minIdle}")
private Integer minIdle;
@Value("${ds1.datasource.initialSize}")
private Integer initialSize;
@Value("${ds1.datasource.maxWait}")
private Long maxWait;
@Value("${ds1.datasource.timeBetweenEvictionRunsMillis}")
private Long timeBetweenEvictionRunsMillis;
@Value("${ds1.datasource.minEvictableIdleTimeMillis}")
private Long minEvictableIdleTimeMillis;
@Value("${ds1.datasource.testWhileIdle}")
private Boolean testWhileIdle;
@Value("${ds1.datasource.testWhileIdle}")
private Boolean testOnBorrow;
@Value("${ds1.datasource.testOnBorrow}")
private Boolean testOnReturn;

@Bean(name = "dataSource")
@Primary
public DataSource dataSource() {
//jdbc配置
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName(driverClass);
dataSource.setUrl(url);
dataSource.setUsername(user);
dataSource.setPassword(password);

//连接池配置
dataSource.setMaxActive(maxActive);
dataSource.setMinIdle(minIdle);
dataSource.setInitialSize(initialSize);
dataSource.setMaxWait(maxWait);
dataSource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
dataSource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
dataSource.setTestWhileIdle(testWhileIdle);
dataSource.setTestOnBorrow(testOnBorrow);
dataSource.setTestOnReturn(testOnReturn);
dataSource.setValidationQuery("SELECT 'x'");

dataSource.setPoolPreparedStatements(true);
dataSource.setMaxPoolPreparedStatementPerConnectionSize(20);

try {
dataSource.setFilters("stat");
} catch (SQLException e) {
e.printStackTrace();
}
return dataSource;
}

@Bean(name = "transactionManager")
@Primary
public DataSourceTransactionManager transactionManager() {
return new DataSourceTransactionManager(dataSource());
}

@Bean(name = "sqlSessionFactory")
@Primary
public SqlSessionFactory ds1SqlSessionFactory(@Qualifier("dataSource") DataSource dataSource)
throws Exception {
final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(dataSource);
sessionFactory.setTypeAliasesPackage("cn.edu.nuc.Test1.entity");
sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
.getResources(DatasourceConfig.MAPPER_LOCATION));
return sessionFactory.getObject();
}
}

DruidDBConfig类被@Configuration标注,用作配置信息; DataSource对象被@Bean声明,为Spring容器所管理, @Primary表示这里定义的DataSource将覆盖其他来源的DataSource。


3、其他:

上面配置好连接池后,接下来就和正常spring-boot的用法一样了。整个结构:

spring-boot整合mybatis和druid连接池_spring

1)controller:

package cn.edu.nuc.Test1.controller;

import javax.servlet.http.HttpServletRequest;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import cn.edu.nuc.Test1.entity.Test;
import cn.edu.nuc.Test1.service.TestService;

@Controller
public class TestController {
private static final Logger logger = LoggerFactory.getLogger(TestController.class);

@Autowired
private TestService testService;

@RequestMapping("/test")
@ResponseBody
public String test(HttpServletRequest request) {
String name = request.getParameter("name");
Test test = null;
try {
test = testService.findByName(name);
} catch (Exception e) {
test = new Test();
logger.error("test error.",e);
}
logger.info("test....{}",name);
return test.toString();
}
}

2)service:

package cn.edu.nuc.Test1.service;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import cn.edu.nuc.Test1.dao.mysql.TestDao;
import cn.edu.nuc.Test1.entity.Test;

@Service
public class TestService{
private static final Logger logger = LoggerFactory.getLogger(TestService.class);

@Autowired
private TestDao testDao;

public Test findByName(String name) throws Exception{
return testDao.findByName(name);
}
}

3)dao层:

package cn.edu.nuc.Test1.dao.mysql;

import org.apache.ibatis.annotations.Param;
import cn.edu.nuc.Test1.entity.Test;

public interface TestDao {
Test findByName(@Param("name") String n);
}

4)mapper文件:

<?xml version="1.0" encoding="UTF-8" ?>  
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="cn.edu.nuc.Test1.dao.mysql.TestDao">
<resultMap id="BaseResultMap" type="cn.edu.nuc.Test1.entity.Test">
<result column="id" property="id" />
<result column="name" property="name" />
</resultMap>

<parameterMap id="Test" type="cn.edu.nuc.Test1.entity.Test"/>

<sql id="Base_Column_List">
id,name
</sql>
<select id="findByName" resultMap="BaseResultMap" parameterType="java.lang.String">
select
<include refid="Base_Column_List" />
from test
where name = #{name}
</select>
</mapper>

5)app启动类:

package cn.edu.nuc.Test1;

import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;


/**
* Hello world!
* 可以统一用@MapperScan指定扫描的dao,也可以在每个dao上添加@Mapper
*/
@SpringBootApplication
//mapper 接口类扫描包配置
@MapperScan("cn.edu.nuc.Test1.dao.mysql")
public class App
{
public static void main( String[] args )
{
SpringApplication.run(App.class, args);
}
}

总结:

和直接使用mybatis(不用druid连接池)的方式相比,引入druid连接池主要有以下几点差异:

1)由于引入的是druid连接池,spring-boot不是原生支持的,所以需要定置化一个DataSource类,在该类中把application.properties中的jdbc和连接池配置项设置好;

2)如果直接使用mybatis,那么在application.properties中需要设置一下两个信息,springboot会自动读取并加载;

mybatis.typeAliasesPackage=nc.edu.nuc.Test.entity  

mybatis.mapperLocations=classpath:mapper/*.xml

由于使用了druid连接池,这两个mybatis的配置需要在Datasource中设置(在application.properties中就不需要指定),所以我们看DataSource的代码中有下面的代码:

sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
.getResources(DatasourceConfig.MAPPER_LOCATION));

4、druid监控:

在上面的DatasourceConfig.java中添加如下信息

@Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean();
servletRegistrationBean.setServlet(new StatViewServlet());
servletRegistrationBean.addUrlMappings("/druid/*");
Map<String, String> initParameters = new HashMap<String, String>();
initParameters.put("loginUsername", "admin");// 用户名
initParameters.put("loginPassword", "admin");// 密码
initParameters.put("resetEnable", "false");// 禁用HTML页面上的“Reset All”功能
initParameters.put("allow", ""); // IP白名单 (没有配置或者为空,则允许所有访问)
//initParameters.put("deny", "192.168.20.38");// IP黑名单 (存在共同时,deny优先于allow)
servletRegistrationBean.setInitParameters(initParameters);
return servletRegistrationBean;
}

@Bean
public FilterRegistrationBean filterRegistrationBean() {
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
filterRegistrationBean.setFilter(new WebStatFilter());
filterRegistrationBean.addUrlPatterns("/*");
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
return filterRegistrationBean;
}

重启服务器,然后输入:http://127.0.0.1:8080/druid

spring-boot整合mybatis和druid连接池_sql_02

参考:

​https://www.bysocket.com/?p=1712​

​https://www.jianshu.com/p/c8a01ae9f779​