基于java配置整合Spring+MyBatis。
1.创建简单的数据库及数据表。
2.创建一个简单的maven工程。(http://blog.csdn.net/zhshulin/article/details/37921705)
3.配置pom.xml文件，加载依赖的jar包
4.0.0 com.java.spring SMybatis02 war 0.0.1-SNAPSHOT SMybatis02 Maven Webapp http://maven.apache.org 4.0.2.RELEASE 3.2.6 1.7.7 1.2.17 junit junit 3.8.1 test org.springframework spring-core ${spring.version} org.springframework spring-web ${spring.version} org.springframework spring-oxm ${spring.version} org.springframework spring-tx ${spring.version} org.springframework spring-jdbc ${spring.version} org.springframework spring-webmvc ${spring.version} org.springframework spring-aop ${spring.version} org.springframework spring-context-support ${spring.version} org.springframework spring-test ${spring.version} org.mybatis mybatis ${mybatis.version} org.mybatis mybatis-spring 1.2.2 javax javaee-api 7.0 mysql mysql-connector-java 5.1.30 commons-dbcp commons-dbcp 1.2.2 jstl jstl 1.2 log4j log4j ${log4j.version} com.alibaba fastjson 1.1.41 org.slf4j slf4j-api ${slf4j.version} org.slf4j slf4j-log4j12 ${slf4j.version} org.codehaus.jackson jackson-mapper-asl 1.9.13 commons-fileupload commons-fileupload 1.3.1 commons-io commons-io 2.4 commons-codec commons-codec 1.9 com.alibaba druid 1.0.16 SMybatis02
4.创建数据库中对应的实体类
package com.test.domain;
public class User {
private int id;
private String name;
private int age;
public void setId(int id) {
this.id = id;
}
public int getId() {
return id;
}
public void setName(String name) {
this.name = name;
}
public String getName() {
return name;
}
public void setAge(int age) {
this.age = age;
}
public int getAge() {
return age;
}
@Override
public String toString() {
return "User [id=" + id + ", name=" + name + ", age=" + age + "]";
}
}
5.创建mybatis的映射文件
INSERT INTO user (id,name,age) VALUES (#{id},#{name},#{age}) UPDATE user SET name=#{name},age=#{name} WHERE id=#{id} DELETE FROM user WHERE id=#{id}
6.创建UserMapper.java及其它业务层方法
package com.test.mapper;
import org.springframework.stereotype.Repository;
import com.test.domain.User;
@Repository
public interface UserMapper {
public User getUser(String name);
public void insertUser(User user);
public void deleteUser(int id);
public void updateUser(User user);
}
package com.test.api;
import com.test.domain.User;
public interface UserService {
public User getUser(String name);
}
package com.test.provider;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import com.test.domain.User;
import com.test.mapper.UserMapper;
@Service
public class UserServiceImpl implements com.test.api.UserService {
@Autowired
UserMapper userMapper;
public User getUser(String name) {
return userMapper.getUser(name);
}
}
7.创建属性文件，并创建配置类整合spring+mybatis
package com.test.config;
import java.beans.PropertyVetoException;
import java.io.IOException;
import javax.sql.DataSource;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.PropertySource;
import org.springframework.core.env.Environment;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.core.io.support.ResourcePatternResolver;
import com.alibaba.druid.pool.DruidDataSource;
@Configuration
@PropertySource("classpath:/jdbc.properties")
@MapperScan(basePackages="com.test.mapper")
@ComponentScan("com.test.provider")
public class Config {
@Autowired
Environment env;
@Bean
public DataSource dataSource() throws PropertyVetoException {
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName(env.getProperty("jdbc.driver"));
dataSource.setUrl(env.getProperty("jdbc.url"));
dataSource.setUsername(env.getProperty("jdbc.username"));
dataSource.setPassword(env.getProperty("jdbc.password"));
return dataSource;
}
@Bean
public SqlSessionFactoryBean sqlSessionFactoryBean(DataSource dataSource) throws IOException {
ResourcePatternResolver resourcePatternResolver = new PathMatchingResourcePatternResolver();
SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
sqlSessionFactoryBean.setDataSource(dataSource);
sqlSessionFactoryBean.setMapperLocations(resourcePatternResolver.getResources("classpath*:/*Mapper.xml"));
return sqlSessionFactoryBean;
}
}
8.创建测试方法
package com.main.test;
import org.junit.BeforeClass;
import org.junit.Test;
import org.springframework.context.ApplicationContext;
import org.springframework.context.annotation.AnnotationConfigApplicationContext;
import com.test.api.UserService;
import com.test.domain.User;
import com.test.provider.UserServiceImpl;
public class MainTest {
private static UserService userService;
@BeforeClass
public static void init(){
ApplicationContext cx = new AnnotationConfigApplicationContext("com.test.config");
userService = (UserService)cx.getBean(UserServiceImpl.class);
}
@Test
public void getUserByName(){
User user = userService.getUser("jim");
System.out.println(user);
}
}
Druid提供了MySql、Oracle、Postgresql、SQL-92的SQL的完整支持，这是一个手写的高性能SQL Parser，支持Visitor模式，使得分析SQL的抽象语法树很方便。
简单SQL语句用时10微秒以内，复杂SQL用时30微秒。
通过Druid提供的SQL Parser可以在JDBC层拦截SQL做相应处理，比如说分库分表、审计等。Druid防御SQL注入攻击的WallFilter，就是通过Druid的SQL Parser分析语义实现的
一个菜鸟的的学习笔记，如果有路过的朋友看到，多批评指正