最近在复习泛型的知识,想起以前使用commons-dbutils的时候,觉得这个工具太厉害了。所以,试着自己瞎写看能不能模拟commons-dbutils的功能。
1、commons-dbutils的使用
1.1、commons-dbutils是用来简化JDBC的代码。下面是其简单用法:
// 增删改
QueryRunner qr = new QueryRunner(JdbcUtils.getDataSource());// 创建QueryRunner,需要提供数据库连接池对象
String sql = "insert into t_students values(?,?,?,?)";// 给出sql模板
Object[] params = { 1, "liSi", 20, "female" };// 给出sql模板的参数
qr.update(sql, params);
// 查询
QueryRunner qr = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select * from t_student where id = ?";
Object[] params = {1};
Stu stu = qr.query(sql, new BeanHandler<Stu>(Stu.class), params);
// 将结果集rs映射成javabean,要求结果集列名与javabean属性名一致
1.2、commons-dbutils的其他查询用法
* BeanListHandler的应用,它是多行处理器
- QueryRunner qr = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select * from t_stu";
List<Stu> stuList = qr.query(sql,new BeanListHandler<Stu>(Stu.class));
* MapHandler的应用,它是单行处理器,把一行转换成一个Map对象
- QueryRunner qr = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select * from t_stu where sid = ?";
Object[] params = {1001};
Map map = qr.query(sql,new MapHandler(), params);
* MapListHandler,它是多行处理器,把每行都转换成一个Map
- QueryRunner qr = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select * from t_stu";
List<Map<String,Object>> mapList = qr.query(sql, new MapListHandler());
* ScalarHandler的应用,它是单行单列时使用,最为合适
- QueryRunner qr = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select count(*) from t_stu";
Object obj = qr.query(sql,new ScalarHandler());
2、模拟commons-dbutils

2.1、工具类
CommonUtils工具类的作用见我的博客:泛型的使用:封装工具类CommonUtils-把一个Map转换成指定类型的javabean对象(用到泛型)
package com.oy.type;
import java.util.Map;
import org.apache.commons.beanutils.BeanUtils;
public class CommonUtils {
// 把一个Map转换成指定类型的javabean对象
public static <T> T tobean(Map<String, ?> map, Class<T> clazz) {
try {
T bean = clazz.newInstance();
BeanUtils.populate(bean, map);
return bean;
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
JdbcUtils类是用来获取数据库连接的,用到了c3p0连接池。
package com.oy.type;
import java.sql.Connection;
import java.sql.SQLException;
import javax.sql.DataSource;
import com.mchange.v2.c3p0.ComboPooledDataSource;
public class JdbcUtils {
// 使用配置文件c3p0-config.xml, 放到src目录下
private static ComboPooledDataSource dataSource = new ComboPooledDataSource();
// 返回连接
public static Connection getConnection(){
try {
return dataSource.getConnection();
} catch (SQLException e) {
e.printStackTrace();
}
return null;
}
// 返回连接池对象
public static DataSource getDataSource() {
return dataSource;
}
}
c3p0-config.xml:
<?xml version="1.0" encoding="UTF-8"?>
<c3p0-config>
<default-config>
<property name="jdbcUrl">jdbc:mysql://localhost:3306/db_test?useUnicode=true&characterEncoding=UTF-8</property>
<property name="driverClass">com.mysql.jdbc.Driver</property>
<property name="user">root</property>
<property name="password"></property>
<property name="acquireIncrement">3</property>
<property name="initialPoolSize">10</property>
<property name="minPoolSize">2</property>
<property name="maxPoolSize">10</property>
</default-config>
<named-config name="name1">
<property name="jdbcUrl">jdbc:mysql://localhost:3306/db_test</property>
<property name="driverClass">com.mysql.jdbc.Driver</property>
<property name="user">root</property>
<property name="password">123</property>
<property name="acquireIncrement">3</property>
<property name="initialPoolSize">10</property>
<property name="minPoolSize">2</property>
<property name="maxPoolSize">10</property>
</named-config>
</c3p0-config>
2.2、QR类
package com.oy.type;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.List;
import javax.sql.DataSource;
public class QR<T> {
private DataSource dataSource;
public QR() {
super();
}
public QR(DataSource dataSource) {
super();
this.dataSource = dataSource;
}
// 可以做增删改操作
public int update(String sql, Object... params) {
Connection con = null;
PreparedStatement pstmt = null;
try {
con = dataSource.getConnection(); // 通过连接池得到连接对象
pstmt = con.prepareStatement(sql);// 使用sql模板创建preparedStatement对象
initParams(pstmt, params);// 对sql语句的?赋值
return pstmt.executeUpdate(); // 执行
} catch (Exception e) {
throw new RuntimeException(e);
} finally { // 释放资源
try {
if (pstmt != null) {
pstmt.close();
}
if (con != null) {
con.close();
}
} catch (SQLException e1) {
}
}
}
// 可以做查询操作
public T query(String sql, BeanHandler<T> rh, Object... params) {
Connection con = null;
PreparedStatement pstmt = null;
ResultSet rs = null;
try {
con = dataSource.getConnection(); // 通过连接池得到连接对象
pstmt = con.prepareStatement(sql);// 使用sql模板创建preparedStatement对象
initParams(pstmt, params);// 对sql语句的?赋值
rs = pstmt.executeQuery(); // 执行查询,返回ResultSet对象
return rh.handle(rs);// 传入结果集rs,得到T类型的对象
} catch (Exception e) {
throw new RuntimeException(e);
} finally {
try {
if (rs != null) {
rs.close();
}
if (pstmt != null) {
pstmt.close();
}
if (con != null) {
con.close();
}
} catch (SQLException e) {
}
}
}
public List<T> query(String sql, BeanListHandler<T> rh, Object... params) {
Connection con = null;
PreparedStatement pstmt = null;
ResultSet rs = null;
try {
con = dataSource.getConnection(); // 通过连接池得到连接对象
pstmt = con.prepareStatement(sql);// 使用sql模板创建preparedStatement对象
initParams(pstmt, params);// 对sql语句的?赋值
rs = pstmt.executeQuery(); // 执行查询,返回ResultSet对象
return rh.handle(rs);// 传入结果集rs,得到T类型的对象
} catch (Exception e) {
throw new RuntimeException(e);
} finally {
try {
if (rs != null) {
rs.close();
}
if (pstmt != null) {
pstmt.close();
}
if (con != null) {
con.close();
}
} catch (SQLException e) {
}
}
}
// 给sql语句的?赋值
private void initParams(PreparedStatement pstmt, Object... params) throws SQLException {
if (params != null && params.length > 0) {
for (int i = 0; i < params.length; i++) {
pstmt.setObject(i + 1, params[i]);
}
}
}
}
2.3、BeanHandler:将查询的结果集转换成javabean
package com.oy.type;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.HashMap;
import java.util.Map;
public class BeanHandler<T> {
private Class<T> clazz;
public BeanHandler(Class<T> clazz) {
this.clazz = clazz;
}
public T handle(ResultSet rs) throws SQLException {
if (!rs.next())
return null;
return CommonUtils.tobean(rsToMap(rs), clazz);
}
private Map<String, String> rsToMap(ResultSet rs) throws SQLException {
Map<String, String> map = new HashMap<String, String>();
int count = rs.getMetaData().getColumnCount(); // 获取结果集的列数
for (int i = 1; i <= count; i++) { // 循环列
String columnName = rs.getMetaData().getColumnName(i);// 获取列名
String value = rs.getString(i); // 获取结果集一行中的每一列的值
map.put(columnName, value);
}
return map;
}
}
2.4、BeanListHandler:将结果集转换成bean集合
package com.oy.type;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class BeanListHandler<T> {
private Class<T> clazz;
public BeanListHandler(Class<T> clazz) {
this.clazz = clazz;
}
public List<T> handle(ResultSet rs) throws SQLException {
List<T> list = new ArrayList<>();
Map<String, String> map = null;
while (rs.next()) { // 循环行
map = new HashMap<String, String>();
int count = rs.getMetaData().getColumnCount(); // 获取结果集的列数
for (int i = 1; i <= count; i++) { // 循环列
String columnName = rs.getMetaData().getColumnName(i);// 获取列名
String value = rs.getString(i); // 获取结果集一行中的每一列的值
map.put(columnName, value);
}
list.add(CommonUtils.tobean(map, clazz));
}
return list;
}
}
2.5、MapHandler:将结果集转换成Map
package com.oy.type;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.HashMap;
import java.util.Map;
public class MapHandler {
public MapHandler() {}
public Map<String, String> handle(ResultSet rs) throws SQLException {
if (!rs.next())
return null;
return rsToMap(rs);
}
private Map<String, String> rsToMap(ResultSet rs) throws SQLException {
Map<String, String> map = new HashMap<String, String>();
int count = rs.getMetaData().getColumnCount(); // 获取结果集的列数
for (int i = 1; i <= count; i++) { // 循环列
String columnName = rs.getMetaData().getColumnName(i);// 获取列名
String value = rs.getString(i); // 获取结果集一行中的每一列的值
map.put(columnName, value);
}
return map;
}
}
3、测试
package com.oy.type;
public class Stu {
private Integer id;
private Integer age;
private String name;
public Integer getId() {
return id;
}
public void setId(Integer id) {
this.id = id;
}
public Integer getAge() {
return age;
}
public void setAge(Integer age) {
this.age = age;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
@Override
public String toString() {
return "Stu [id=" + id + ", age=" + age + ", name=" + name + "]";
}
}
package com.oy.type;
import java.util.List;
import org.junit.jupiter.api.Test;
public class StuDao {
QR<Stu> qr = new QR<>(JdbcUtils.getDataSource());
public Stu getStuById(Integer id) {
String sql = "select * from stu where id = ?";
Object[] params = {id};
return qr.query(sql, new BeanHandler<Stu>(Stu.class), params);
}
public List<Stu> getStus(String ids) {
String sql = "select * from stu where id in (" + ids + ")";
return qr.query(sql, new BeanListHandler<Stu>(Stu.class));
}
@Test
public void test1() {
//System.out.println(getStuById(1));
System.out.println(getStus("1,2"));
}
}
来源:https://www.cnblogs.com/xy-ouyang/p/10841748.html