1 实现思路概述#
1.1 从 ResultSet 说起#
说到 ResultSet,有 Java 开发经验的“小伙伴”自然最熟悉不过了,不过我相信对于大多数人来说也算是“最熟悉的陌生人”。从 ResultSet 取值操作大家都会,比如:
private static List<Member> select(String sql) {
List<Member> result = new ArrayList<>();
Connection con = null;
PreparedStatement pstm = null;
ResultSet rs = null;
try {
//1. 加载驱动类
Class.forName("com.mysql.jdbc.Driver");
//2. 建立连接
con = DriverManager.getConnection("jdbc:mysql://127.0.0.1:3306/gp-vip-spring-db-demo", "root","123456");
//3. 创建语句集
pstm = con.prepareStatement(sql);
//4. 执行语句集
rs = pstm.executeQuery();
while (rs.next()){
Member instance = new Member();
instance.setId(rs.getLong("id"));
instance.setName(rs.getString("name"));
instance.setAge(rs.getInt("age"));
instance.setAddr(rs.getString("addr"));
result.add(instance);
}
//5. 获取结果集
}catch (Exception e){
e.printStackTrace();
}
//6. 关闭结果集、关闭语句集、关闭连接
finally {
try {
rs.close();
pstm.close();
con.close();
}catch (Exception e){
e.printStackTrace();
}
}
return result;
}
以上我们在没有使用框架以前的常规操作。随着业务和开发量的增加,在数据持久层这样的重复代码出现频次非常高。因此,我们就想到将非功能性代码和业务代码进行分离。我们首先想到将 ResultSet 封装数据的代码逻辑分离,增加一个 mapperRow()方法,专门处理对结果的封装,代码如下:
private static List<Member> select(String sql) {
List<Member> result = new ArrayList<>();
Connection con = null;
PreparedStatement pstm = null;
ResultSet rs = null;
try {
//1. 加载驱动类
Class.forName("com.mysql.jdbc.Driver");
//2. 建立连接
con = DriverManager.getConnection("jdbc:mysql://127.0.0.1:3306/gp-vip-spring-db-demo", "root","123456");
//3. 创建语句集
pstm = con.prepareStatement(sql);
//4. 执行语句集
rs = pstm.executeQuery();
while (rs.next()){
Member instance = mapperRow(rs,rs.getRow());
result.add(instance);
}
//5. 获取结果集
}catch (Exception e){
e.printStackTrace();
}
//6. 关闭结果集、关闭语句集、关闭连接
finally {
try {
rs.close();
pstm.close();
con.close();
}catch (Exception e){
e.printStackTrace();
}
}
return result;
}
private static Member mapperRow(ResultSet rs, int i) throws Exception {
Member instance = new Member();
instance.setId(rs.getLong("id"));
instance.setName(rs.getString("name"));
instance.setAge(rs.getInt("age"));
instance.setAddr(rs.getString("addr"));
return instance;
}
但在真实的业务场景中,这样的代码逻辑重复率实在太高,上面的改造只能应用 Member 类,换一个实体类又要重新封装,聪明的程序员肯定不会通过纯体力劳动给每一个实体类写一个 mapperRow()方法,一定会想到代码复用方案。我们不妨来做这样一个改造。
先创建 Member 类:
package com.gupaoedu.vip.orm.demo.entity;
import lombok.Data;
import javax.persistence.Entity;
import javax.persistence.Id;
import javax.persistence.Table;
import java.io.Serializable;
@Entity
@Table(name="t_member")
@Data
public class Member implements Serializable {
@Id private Long id;
private String name;
private String addr;
private Integer age;
@Override
public String toString() {
return "Member{" +
"id=" + id +
", name='" + name + '\'' +
", addr='" + addr + '\'' +
", age=" + age +
'}';
}
}
优化 JDBC 操作:
public static void main(String[] args) {
Member condition = new Member();
condition.setName(“Tom”);
condition.setAge(19);
List<?> result = select(condition);
System.out.println(Arrays.toString(result.toArray()));
}
private static List<?> select(Object condition) {
List<Object> result = new ArrayList<>();
Class<?> entityClass = condition.getClass();
Connection con = null;
PreparedStatement pstm = null;
ResultSet rs = null;
try {
//1. 加载驱动类
Class.forName("com.mysql.jdbc.Driver");
//2. 建立连接
con = DriverManager.getConnection("jdbc:mysql://127.0.0.1:3306/gp-vip-spring-db-demo? characterEncoding=UTF-8& rewriteBatchedStatements=true","root","123456");
//根据类名找属性名
Map<String,String> columnMapper = new HashMap<String,String>();
//根据属性名找字段名
Map<String,String> fieldMapper = new HashMap<String,String>();
Field[] fields = entityClass.getDeclaredFields();
for (Field field : fields) {
field.setAccessible(true);
String fieldName = field.getName();
if(field.isAnnotationPresent(Column.class)){
Column column = field.getAnnotation(Column.class);
String columnName = column.name();
columnMapper.put(columnName,fieldName);
fieldMapper.put(fieldName,columnName);
}else {
//默认就是字段名、属性名一致
columnMapper.put(fieldName, fieldName);
fieldMapper.put(fieldName,fieldName);
}
}
//3. 创建语句集
Table table = entityClass.getAnnotation(Table.class);
String sql = "select * from " + table.name();
StringBuffer where = new StringBuffer(" where 1=1 ");
for (Field field : fields) {
Object value =field.get(condition);
if(null != value){
if(String.class == field.getType()) {
where.append(" and " + fieldMapper.get(field.getName()) + " = '" + value + "'");
}else{
where.append(" and " + fieldMapper.get(field.getName()) + " = " + value + "");
}
//其他的在这里就不一一列举,后面我们手写ORM框架时会完善
}
}
System.out.println(sql + where.toString());
pstm = con.prepareStatement(sql + where.toString());
//4. 执行语句集
rs = pstm.executeQuery();
//元数据?
//保存了处理真正数值以外的所有附加信息
int columnCounts = rs.getMetaData().getColumnCount();
while (rs.next()){
Object instance = entityClass.newInstance();
for (int i = 1; i <= columnCounts; i++) {
//实体类属性名,对应数据库表的字段名
//可以通过反射机制拿到实体类的所有字段
//从rs中取得当前这个游标下的类名
String columnName = rs.getMetaData().getColumnName(i);
//有可能是私有的
Field field = entityClass.getDeclaredField(columnMapper.get(columnName));
field.setAccessible(true);
field.set(instance,rs.getObject(columnName));
}
result.add(instance);
}
//5. 获取结果集
}catch (Exception e){
e.printStackTrace();
}
//6. 关闭结果集、关闭语句集、关闭连接
finally {
try {
rs.close();
pstm.close();
con.close();
}catch (Exception e){
e.printStackTrace();
}
}
return result;
}
上面巧妙地利用反射机制读取 Class 信息和 Annotation 信息,将数据库表中的列和类中的字段进行关联映射并赋值,以减少重复代码。
1.2 为什么需要 ORM 框架#
通过前面的讲解,我们已经了解 ORM 框架的基本实现原理。ORM 是指对象关系映射(Object Relation Mapping),映射的不只是对象值,还有对象与对象之间的关系,例如一对多、多对多、一对一这样的表关系。现在市面上 ORM 框架也非常多,有大家所熟知的 Hibernate、Spring JDBC、MyBatis、JPA 等。在这里做一个简单的总结,如下表所示。
名称 | 特征 | 描述 |
---|---|---|
Hibernate | 全自动(挡) | 不需要写一句 SQL |
MyBatis | 半自动(挡) | 手自一体,支持简单的映射,复杂关系需要自己写 SQL |
Spring JDBC | 纯手动(挡) | 所有的 SQL 都要自己写,它帮我们设计了一套标准流程 |
既然市面上有这么多选择,我为什么还要自己写 ORM 框架呢?
这得从我的一次空降担任架构师的经验说起。空降面临最大的难题就是如何取得团队“小伙伴们”的信任。当时,团队总共就 8 人,每个人的水平参差不齐,甚至有些人还没接触过 MySQL,诸如 Redis 等缓存中间件更不用说了。基本只会使用 Hibernate 的 CRUD,而且已经影响到了系统性能。由于工期紧张,没有时间和精力给团队做系统培训,也为了兼顾可控性,于是就产生了自研 ORM 框架的想法。我做了这样的顶层设计,以降低团队“小伙伴们”的存息成本,顶层接口统一参数、统一返回值,具体如下。
**(1)规定查询方法的接口模型为: **
/**
* 获取列表
* @param queryRule 查询条件
* @return
*/
List<T> select(QueryRule queryRule) throws Exception;
/**
* 获取分页结果
* @param queryRule 查询条件
* @param pageNo 页码
* @param pageSize 每页条数
* @return
*/
Page<?> select(QueryRule queryRule,int pageNo,int pageSize) throws Exception;
/**
* 根据SQL获取列表
* @param sql SQL语句
* @param args 参数
* @return
*/
List<Map<String,Object>> selectBySql(String sql, Object... args) throws Exception;
/**
* 根据SQL获取分页
* @param sql SQL语句
* @param pageNo 页码
* @param pageSize 每页条数
* @return
*/
Page<Map<String,Object>> selectBySqlToPage(String sql, Object [] param, int pageNo, int pageSize) throws Exception;
(2)规定删除方法的接口模型为:
/**
_ 删除一条记录
_ @param entity entity 中的 ID 不能为空,如果 ID 为空,其他条件不能为空,都为空不予执行
_ @return
_/
boolean delete(T entity) throws Exception;
/**
* 批量删除
* @param list
* @return 返回受影响的行数
* @throws Exception
*/
int deleteAll(List<T> list) throws Exception;
(3)规定插入方法的接口模型为:
/**
* 插入一条记录并返回插入后的ID
* @param entity 只要entity不等于null,就执行插入
* @return
*/
PK insertAndReturnId(T entity) throws Exception;
/**
* 插入一条记录自增ID
* @param entity
* @return
* @throws Exception
*/
boolean insert(T entity) throws Exception;
/**
* 批量插入
* @param list
* @return 返回受影响的行数
* @throws Exception
*/
int insertAll(List<T> list) throws Exception;
(4)规定修改方法的接口模型为:
/**
* 修改一条记录
* @param entity entity中的ID不能为空,如果ID为空,其他条件不能为空,都为空不予执行
* @return
* @throws Exception
*/
boolean update(T entity) throws Exception;
利用这套基础的 API,后面我又基于 Redis、MongoDB、ElasticSearch、Hive、HBase 各封装了一套,以此来降低团队的学习成本,也大大提升了程序的可控性,更方便统一监控。
2 搭建基础架构#
2.1 Page#
定义 Page 类的主要目的是为后面的分页查询统一返回结果做顶层支持,其主要功能包括分页逻辑的封装、分页数据。
package javax.core.common;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
/**
* 分页对象,包含当前页数据及分页信息,如总记录数
* 能够支持和JQuery EasyUI直接对接,能够支持和BootStrap Table直接对接
*/
public class Page<T> implements Serializable {
private static final long serialVersionUID = 1L;
private static final int DEFAULT_PAGE_SIZE = 20;
private int pageSize = DEFAULT_PAGE_SIZE; //每页的记录数
private long start; //当前页第一条数据在List中的位置,从0开始
private List<T> rows; //当前页中存放的记录,类型一般为List
private long total; //总记录数
/**
* 构造方法,只构造空页
*/
public Page() {
this(0, 0, DEFAULT_PAGE_SIZE, new ArrayList<T>());
}
/**
* 默认构造方法
*
* @param start 本页数据在数据库中的起始位置
* @param totalSize 数据库中总记录条数
* @param pageSize 本页容量
* @param rows 本页包含的数据
*/
public Page(long start, long totalSize, int pageSize, List<T> rows) {
this.pageSize = pageSize;
this.start = start;
this.total = totalSize;
this.rows = rows;
}
/**
* 取总记录数
*/
public long getTotal() {
return this.total;
}
public void setTotal(long total) {
this.total = total;
}
/**
* 取总页数
*/
public long getTotalPageCount() {
if (total % pageSize == 0){
return total / pageSize;
}else{
return total / pageSize + 1;
}
}
/**
* 取每页数据容量
*/
public int getPageSize() {
return pageSize;
}
/**
* 取当前页中的记录
*/
public List<T> getRows() {
return rows;
}
public void setRows(List<T> rows) {
this.rows = rows;
}
/**
* 取该页的当前页码,页码从1开始
*/
public long getPageNo() {
return start / pageSize + 1;
}
/**
* 该页是否有下一页
*/
public boolean hasNextPage() {
return this.getPageNo() < this.getTotalPageCount() - 1;
}
/**
* 该页是否有上一页
*/
public boolean hasPreviousPage() {
return this.getPageNo() > 1;
}
/**
* 获取任意一页第一条数据在数据集中的位置,每页条数使用默认值
*
* @see #getStartOfPage(int,int)
*/
protected static int getStartOfPage(int pageNo) {
return getStartOfPage(pageNo, DEFAULT_PAGE_SIZE);
}
/**
* 获取任意一页第一条数据在数据集中的位置
*
* @param pageNo 从1开始的页号
* @param pageSize 每页记录条数
* @return 该页第一条数据
*/
public static int getStartOfPage(int pageNo, int pageSize) {
return (pageNo - 1) * pageSize;
}
}
2.2 ResultMsg#
ResultMsg类主要是为统一返回结果做的顶层设计,主要包括状态码、结果说明内容和返回数据。
package javax.core.common;
import java.io.Serializable;
//底层设计
public class ResultMsg<T> implements Serializable {
private static final long serialVersionUID = 2635002588308355785L;
private int status; //状态码,系统的返回码
private String msg; //状态码的解释
private T data; //放任意结果
public ResultMsg() {}
public ResultMsg(int status) {
this.status = status;
}
public ResultMsg(int status, String msg) {
this.status = status;
this.msg = msg;
}
public ResultMsg(int status, T data) {
this.status = status;
this.data = data;
}
public ResultMsg(int status, String msg, T data) {
this.status = status;
this.msg = msg;
this.data = data;
}
public int getStatus() {
return status;
}
public void setStatus(int status) {
this.status = status;
}
public String getMsg() {
return msg;
}
public void setMsg(String msg) {
this.msg = msg;
}
public T getData() {
return data;
}
public void setData(T data) {
this.data = data;
}
}
2.3 BaseDao#
作为所有 BaseDao 持久化框架的顶层接口,主要定义增、删、改、查统一的参数列表和返回值。
package javax.core.common.jdbc;
import com.gupaoedu.vip.orm.framework.QueryRule;
import javax.core.common.Page;
import java.util.List;
import java.util.Map;
public interface BaseDao<T,PK> {
/**
* 获取列表
* @param queryRule 查询条件
* @return
*/
List<T> select(QueryRule queryRule) throws Exception;
/**
* 获取分页结果
* @param queryRule 查询条件
* @param pageNo 页码
* @param pageSize 每页条数
* @return
*/
Page<?> select(QueryRule queryRule,int pageNo,int pageSize) throws Exception;
/**
* 根据SQL获取列表
* @param sql SQL语句
* @param args 参数
* @return
*/
List<Map<String,Object>> selectBySql(String sql, Object... args) throws Exception;
/**
* 根据SQL获取分页
* @param sql SQL语句
* @param pageNo 页码
* @param pageSize 每页条数
* @return
*/
Page<Map<String,Object>> selectBySqlToPage(String sql, Object [] param, int pageNo, int pageSize) throws Exception;
/**
* 删除一条记录
* @param entity entity中的ID不能为空,如果ID为空,其他条件不能为空,都为空则不予执行
* @return
*/
boolean delete(T entity) throws Exception;
/**
* 批量删除
* @param list
* @return 返回受影响的行数
* @throws Exception
*/
int deleteAll(List<T> list) throws Exception;
/**
* 插入一条记录并返回插入后的ID
* @param entity 只要entity不等于null,就执行插入操作
* @return
*/
PK insertAndReturnId(T entity) throws Exception;
/**
* 插入一条记录自增ID
* @param entity
* @return
* @throws Exception
*/
boolean insert(T entity) throws Exception;
/**
* 批量插入
* @param list
* @return 返回受影响的行数
* @throws Exception
*/
int insertAll(List<T> list) throws Exception;
/**
* 修改一条记录
* @param entity entity中的ID不能为空,如果ID为空,其他条件不能为空,都为空则不予执行
* @return
* @throws Exception
*/
boolean update(T entity) throws Exception;
}
### 2.4 QueryRule[#](https://www.cnblogs.com/gupaoedu-tom/p/15697485.html#24--queryrule)
如果用 QueryRule 类来构建查询条件,用户在做条件查询时不需要手写 SQL,实现业务代码与 SQL 解耦。
package com.gupaoedu.vip.orm.framework;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
/**
* QueryRule,主要功能用于构造查询条件
*/
public final class QueryRule implements Serializable
{
private static final long serialVersionUID = 1L;
public static final int ASC_ORDER = 101;
public static final int DESC_ORDER = 102;
public static final int LIKE = 1;
public static final int IN = 2;
public static final int NOTIN = 3;
public static final int BETWEEN = 4;
public static final int EQ = 5;
public static final int NOTEQ = 6;
public static final int GT = 7;
public static final int GE = 8;
public static final int LT = 9;
public static final int LE = 10;
public static final int ISNULL = 11;
public static final int ISNOTNULL = 12;
public static final int ISEMPTY = 13;
public static final int ISNOTEMPTY = 14;
public static final int AND = 201;
public static final int OR = 202;
private List<Rule> ruleList = new ArrayList<Rule>();
private List<QueryRule> queryRuleList = new ArrayList<QueryRule>();
private String propertyName;
private QueryRule() {}
private QueryRule(String propertyName) {
this.propertyName = propertyName;
}
public static QueryRule getInstance() {
return new QueryRule();
}
/**
* 添加升序规则
* @param propertyName
* @return
*/
public QueryRule addAscOrder(String propertyName) {
this.ruleList.add(new Rule(ASC_ORDER, propertyName));
return this;
}
/**
* 添加降序规则
* @param propertyName
* @return
*/
public QueryRule addDescOrder(String propertyName) {
this.ruleList.add(new Rule(DESC_ORDER, propertyName));
return this;
}
public QueryRule andIsNull(String propertyName) {
this.ruleList.add(new Rule(ISNULL, propertyName).setAndOr(AND));
return this;
}
public QueryRule andIsNotNull(String propertyName) {
this.ruleList.add(new Rule(ISNOTNULL, propertyName).setAndOr(AND));
return this;
}
public QueryRule andIsEmpty(String propertyName) {
this.ruleList.add(new Rule(ISEMPTY, propertyName).setAndOr(AND));
return this;
}
public QueryRule andIsNotEmpty(String propertyName) {
this.ruleList.add(new Rule(ISNOTEMPTY, propertyName).setAndOr(AND));
return this;
}
public QueryRule andLike(String propertyName, Object value) {
this.ruleList.add(new Rule(LIKE, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule andEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(EQ, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule andBetween(String propertyName, Object... values) {
this.ruleList.add(new Rule(BETWEEN, propertyName, values).setAndOr(AND));
return this;
}
public QueryRule andIn(String propertyName, List<Object> values) {
this.ruleList.add(new Rule(IN, propertyName, new Object[] { values }).setAndOr(AND));
return this;
}
public QueryRule andIn(String propertyName, Object... values) {
this.ruleList.add(new Rule(IN, propertyName, values).setAndOr(AND));
return this;
}
public QueryRule andNotIn(String propertyName, List<Object> values) {
this.ruleList.add(new Rule(NOTIN, propertyName, new Object[] { values }).setAndOr(AND));
return this;
}
public QueryRule orNotIn(String propertyName, Object... values) {
this.ruleList.add(new Rule(NOTIN, propertyName, values).setAndOr(OR));
return this;
}
public QueryRule andNotEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(NOTEQ, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule andGreaterThan(String propertyName, Object value) {
this.ruleList.add(new Rule(GT, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule andGreaterEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(GE, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule andLessThan(String propertyName, Object value) {
this.ruleList.add(new Rule(LT, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule andLessEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(LE, propertyName, new Object[] { value }).setAndOr(AND));
return this;
}
public QueryRule orIsNull(String propertyName) {
this.ruleList.add(new Rule(ISNULL, propertyName).setAndOr(OR));
return this;
}
public QueryRule orIsNotNull(String propertyName) {
this.ruleList.add(new Rule(ISNOTNULL, propertyName).setAndOr(OR));
return this;
}
public QueryRule orIsEmpty(String propertyName) {
this.ruleList.add(new Rule(ISEMPTY, propertyName).setAndOr(OR));
return this;
}
public QueryRule orIsNotEmpty(String propertyName) {
this.ruleList.add(new Rule(ISNOTEMPTY, propertyName).setAndOr(OR));
return this;
}
public QueryRule orLike(String propertyName, Object value) {
this.ruleList.add(new Rule(LIKE, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public QueryRule orEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(EQ, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public QueryRule orBetween(String propertyName, Object... values) {
this.ruleList.add(new Rule(BETWEEN, propertyName, values).setAndOr(OR));
return this;
}
public QueryRule orIn(String propertyName, List<Object> values) {
this.ruleList.add(new Rule(IN, propertyName, new Object[] { values }).setAndOr(OR));
return this;
}
public QueryRule orIn(String propertyName, Object... values) {
this.ruleList.add(new Rule(IN, propertyName, values).setAndOr(OR));
return this;
}
public QueryRule orNotEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(NOTEQ, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public QueryRule orGreaterThan(String propertyName, Object value) {
this.ruleList.add(new Rule(GT, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public QueryRule orGreaterEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(GE, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public QueryRule orLessThan(String propertyName, Object value) {
this.ruleList.add(new Rule(LT, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public QueryRule orLessEqual(String propertyName, Object value) {
this.ruleList.add(new Rule(LE, propertyName, new Object[] { value }).setAndOr(OR));
return this;
}
public List<Rule> getRuleList() {
return this.ruleList;
}
public List<QueryRule> getQueryRuleList() {
return this.queryRuleList;
}
public String getPropertyName() {
return this.propertyName;
}
protected class Rule implements Serializable {
private static final long serialVersionUID = 1L;
private int type; //规则的类型
private String property_name;
private Object[] values;
private int andOr = AND;
public Rule(int paramInt, String paramString) {
this.property_name = paramString;
this.type = paramInt;
}
public Rule(int paramInt, String paramString,
Object[] paramArrayOfObject) {
this.property_name = paramString;
this.values = paramArrayOfObject;
this.type = paramInt;
}
public Rule setAndOr(int andOr){
this.andOr = andOr;
return this;
}
public int getAndOr(){
return this.andOr;
}
public Object[] getValues() {
return this.values;
}
public int getType() {
return this.type;
}
public String getPropertyName() {
return this.property_name;
}
}
}
2.5 Order#
Order 类主要用于封装排序规则,代码如下:
package com.gupaoedu.vip.orm.framework;
/**
* SQL排序组件
*/
public class Order {
private boolean ascending; //升序还是降序
private String propertyName; //哪个字段升序,哪个字段降序
public String toString() {
return propertyName + ' ' + (ascending ? "asc" : "desc");
}
/**
* Constructor for Order.
*/
protected Order(String propertyName, boolean ascending) {
this.propertyName = propertyName;
this.ascending = ascending;
}
/**
* Ascending order
*
* @param propertyName
* @return Order
*/
public static Order asc(String propertyName) {
return new Order(propertyName, true);
}
/**
* Descending order
*
* @param propertyName
* @return Order
*/
public static Order desc(String propertyName) {
return new Order(propertyName, false);
}
}
3 基于 Spring JDBC 实现关键功能#
3.1 ClassMappings#
ClassMappings 主要定义基础的映射类型,代码如下:
package com.tom.orm.framework;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.lang.reflect.Modifier;
import java.math.BigDecimal;
import java.sql.Date;
import java.sql.Timestamp;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
public class ClassMappings {
private ClassMappings(){}
static final Set<Class<?>> SUPPORTED_SQL_OBJECTS = new HashSet<Class<?>>();
static {
//只要这里写了,默认支持自动类型转换
Class<?>[] classes = {
boolean.class, Boolean.class,
short.class, Short.class,
int.class, Integer.class,
long.class, Long.class,
float.class, Float.class,
double.class, Double.class,
String.class,
Date.class,
Timestamp.class,
BigDecimal.class
};
SUPPORTED_SQL_OBJECTS.addAll(Arrays.asList(classes));
}
static boolean isSupportedSQLObject(Class<?> clazz) {
return clazz.isEnum() || SUPPORTED_SQL_OBJECTS.contains(clazz);
}
public static Map<String, Method> findPublicGetters(Class<?> clazz) {
Map<String, Method> map = new HashMap<String, Method>();
Method[] methods = clazz.getMethods();
for (Method method : methods) {
if (Modifier.isStatic(method.getModifiers()))
continue;
if (method.getParameterTypes().length != 0)
continue;
if (method.getName().equals("getClass"))
continue;
Class<?> returnType = method.getReturnType();
if (void.class.equals(returnType))
continue;
if(!isSupportedSQLObject(returnType)){
continue;
}
if ((returnType.equals(boolean.class)
|| returnType.equals(Boolean.class))
&& method.getName().startsWith("is")
&& method.getName().length() > 2) {
map.put(getGetterName(method), method);
continue;
}
if ( ! method.getName().startsWith("get"))
continue;
if (method.getName().length() < 4)
continue;
map.put(getGetterName(method), method);
}
return map;
}
public static Field[] findFields(Class<?> clazz){
return clazz.getDeclaredFields();
}
public static Map<String, Method> findPublicSetters(Class<?> clazz) {
Map<String, Method> map = new HashMap<String, Method>();
Method[] methods = clazz.getMethods();
for (Method method : methods) {
if (Modifier.isStatic(method.getModifiers()))
continue;
if ( ! void.class.equals(method.getReturnType()))
continue;
if (method.getParameterTypes().length != 1)
continue;
if ( ! method.getName().startsWith("set"))
continue;
if (method.getName().length() < 4)
continue;
if(!isSupportedSQLObject(method.getParameterTypes()[0])){
continue;
}
map.put(getSetterName(method), method);
}
return map;
}
public static String getGetterName(Method getter) {
String name = getter.getName();
if (name.startsWith("is"))
name = name.substring(2);
else
name = name.substring(3);
return Character.toLowerCase(name.charAt(0)) + name.substring(1);
}
private static String getSetterName(Method setter) {
String name = setter.getName().substring(3);
return Character.toLowerCase(name.charAt(0)) + name.substring(1);
}
}
3.2 EntityOperation#
EntityOperation 主要实现数据库表结构和对象类结构的映射关系,代码如下:
package com.tom.orm.framework;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.util.HashMap;
import java.util.Map;
import java.util.TreeMap;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.Id;
import javax.persistence.Table;
import javax.persistence.Transient;
import org.apache.log4j.Logger;
import org.springframework.jdbc.core.RowMapper;
import javax.core.common.utils.StringUtils;
/**
* 实体对象的反射操作
*
* @param <T>
*/
public class EntityOperation<T> {
private Logger log = Logger.getLogger(EntityOperation.class);
public Class<T> entityClass = null; // 泛型实体Class对象
public final Map<String, PropertyMapping> mappings;
public final RowMapper<T> rowMapper;
public final String tableName;
public String allColumn = "*";
public Field pkField;
public EntityOperation(Class<T> clazz,String pk) throws Exception{
if(!clazz.isAnnotationPresent(Entity.class)){
throw new Exception("在" + clazz.getName() + "中没有找到Entity注解,不能做ORM映射");
}
this.entityClass = clazz;
Table table = entityClass.getAnnotation(Table.class);
if (table != null) {
this.tableName = table.name();
} else {
this.tableName = entityClass.getSimpleName();
}
Map<String, Method> getters = ClassMappings.findPublicGetters(entityClass);
Map<String, Method> setters = ClassMappings.findPublicSetters(entityClass);
Field[] fields = ClassMappings.findFields(entityClass);
fillPkFieldAndAllColumn(pk,fields);
this.mappings = getPropertyMappings(getters, setters, fields);
this.allColumn = this.mappings.keySet().toString().replace("[", "").replace("]",""). replaceAll(" ","");
this.rowMapper = createRowMapper();
}
Map<String, PropertyMapping> getPropertyMappings(Map<String, Method> getters, Map<String, Method> setters, Field[] fields) {
Map<String, PropertyMapping> mappings = new HashMap<String, PropertyMapping>();
String name;
for (Field field : fields) {
if (field.isAnnotationPresent(Transient.class))
continue;
name = field.getName();
if(name.startsWith("is")){
name = name.substring(2);
}
name = Character.toLowerCase(name.charAt(0)) + name.substring(1);
Method setter = setters.get(name);
Method getter = getters.get(name);
if (setter == null || getter == null){
continue;
}
Column column = field.getAnnotation(Column.class);
if (column == null) {
mappings.put(field.getName(), new PropertyMapping(getter, setter, field));
} else {
mappings.put(column.name(), new PropertyMapping(getter, setter, field));
}
}
return mappings;
}
RowMapper<T> createRowMapper() {
return new RowMapper<T>() {
public T mapRow(ResultSet rs, int rowNum) throws SQLException {
try {
T t = entityClass.newInstance();
ResultSetMetaData meta = rs.getMetaData();
int columns = meta.getColumnCount();
String columnName;
for (int i = 1; i <= columns; i++) {
Object value = rs.getObject(i);
columnName = meta.getColumnName(i);
fillBeanFieldValue(t,columnName,value);
}
return t;
}catch (Exception e) {
throw new RuntimeException(e);
}
}
};
}
protected void fillBeanFieldValue(T t, String columnName, Object value) {
if (value != null) {
PropertyMapping pm = mappings.get(columnName);
if (pm != null) {
try {
pm.set(t, value);
} catch (Exception e) {
e.printStackTrace();
}
}
}
}
private void fillPkFieldAndAllColumn(String pk, Field[] fields) {
//设定主键
try {
if(!StringUtils.isEmpty(pk)){
pkField = entityClass.getDeclaredField(pk);
pkField.setAccessible(true);
}
} catch (Exception e) {
log.debug("没找到主键列,主键列名必须与属性名相同");
}
for (int i = 0 ; i < fields.length ;i ++) {
Field f = fields[i];
if(StringUtils.isEmpty(pk)){
Id id = f.getAnnotation(Id.class);
if(id != null){
pkField = f;
break;
}
}
}
}
public T parse(ResultSet rs) {
T t = null;
if (null == rs) {
return null;
}
Object value = null;
try {
t = (T) entityClass.newInstance();
for (String columnName : mappings.keySet()) {
try {
value = rs.getObject(columnName);
} catch (Exception e) {
e.printStackTrace();
}
fillBeanFieldValue(t,columnName,value);
}
} catch (Exception ex) {
ex.printStackTrace();
}
return t;
}
public Map<String, Object> parse(T t) {
Map<String, Object> _map = new TreeMap<String, Object>();
try {
for (String columnName : mappings.keySet()) {
Object value = mappings.get(columnName).getter.invoke(t);
if (value == null)
continue;
_map.put(columnName, value);
}
} catch (Exception e) {
e.printStackTrace();
}
return _map;
}
public void println(T t) {
try {
for (String columnName : mappings.keySet()) {
Object value = mappings.get(columnName).getter.invoke(t);
if (value == null)
continue;
System.out.println(columnName + " = " + value);
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
class PropertyMapping {
final boolean insertable;
final boolean updatable;
final String columnName;
final boolean id;
final Method getter;
final Method setter;
final Class enumClass;
final String fieldName;
public PropertyMapping(Method getter, Method setter, Field field) {
this.getter = getter;
this.setter = setter;
this.enumClass = getter.getReturnType().isEnum() ? getter.getReturnType() : null;
Column column = field.getAnnotation(Column.class);
this.insertable = column == null || column.insertable();
this.updatable = column == null || column.updatable();
this.columnName = column == null ? ClassMappings.getGetterName(getter) : ("".equals(column.name()) ? ClassMappings.getGetterName (getter) : column.name());
this.id = field.isAnnotationPresent(Id.class);
this.fieldName = field.getName();
}
@SuppressWarnings("unchecked")
Object get(Object target) throws Exception {
Object r = getter.invoke(target);
return enumClass == null ? r : Enum.valueOf(enumClass, (String) r);
}
@SuppressWarnings("unchecked")
void set(Object target, Object value) throws Exception {
if (enumClass != null && value != null) {
value = Enum.valueOf(enumClass, (String) value);
}
//BeanUtils.setProperty(target, fieldName, value);
try {
if(value != null){
setter.invoke(target, setter.getParameterTypes()[0].cast(value));
}
} catch (Exception e) {
e.printStackTrace();
/**
* 出错原因如果是boolean字段、mysql字段类型,设置tinyint(1)
*/
System.err.println(fieldName + "--" + value);
}
}
}
3.3 QueryRuleSqlBuilder#
QueryRuleSqlBuilder 根据用户构建好的 QueryRule 来自动生成 SQL 语句,代码如下:
package com.tom.orm.framework;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.commons.lang.ArrayUtils;
import com.tom.orm.framework.QueryRule.Rule;
import javax.core.common.utils.StringUtils;
/**
_ 根据 QueryRule 自动构建 SQL 语句
_/
public class QueryRuleSqlBuilder {
private int CURR_INDEX = 0; //记录参数所在的位置
private List<String> properties; //保存列名列表
private List<Object> values; //保存参数值列表
private List<Order> orders; //保存排序规则列表
private String whereSql = "";
private String orderSql = "";
private Object [] valueArr = new Object[]{};
private Map<Object,Object> valueMap = new HashMap<Object,Object>();
/**
* 获得查询条件
* @return
*/
public String getWhereSql(){
return this.whereSql;
}
/**
* 获得排序条件
* @return
*/
public String getOrderSql(){
return this.orderSql;
}
/**
* 获得参数值列表
* @return
*/
public Object [] getValues(){
return this.valueArr;
}
/**
* 获取参数列表
* @return
*/
public Map<Object,Object> getValueMap(){
return this.valueMap;
}
/**
* 创建SQL构造器
* @param queryRule
*/
public QueryRuleSqlBuilder(QueryRule queryRule) {
CURR_INDEX = 0;
properties = new ArrayList<String>();
values = new ArrayList<Object>();
orders = new ArrayList<Order>();
for (QueryRule.Rule rule : queryRule.getRuleList()) {
switch (rule.getType()) {
case QueryRule.BETWEEN:
processBetween(rule);
break;
case QueryRule.EQ:
processEqual(rule);
break;
case QueryRule.LIKE:
processLike(rule);
break;
case QueryRule.NOTEQ:
processNotEqual(rule);
break;
case QueryRule.GT:
processGreaterThen(rule);
break;
case QueryRule.GE:
processGreaterEqual(rule);
break;
case QueryRule.LT:
processLessThen(rule);
break;
case QueryRule.LE:
processLessEqual(rule);
break;
case QueryRule.IN:
processIN(rule);
break;
case QueryRule.NOTIN:
processNotIN(rule);
break;
case QueryRule.ISNULL:
processIsNull(rule);
break;
case QueryRule.ISNOTNULL:
processIsNotNull(rule);
break;
case QueryRule.ISEMPTY:
processIsEmpty(rule);
break;
case QueryRule.ISNOTEMPTY:
processIsNotEmpty(rule);
break;
case QueryRule.ASC_ORDER:
processOrder(rule);
break;
case QueryRule.DESC_ORDER:
processOrder(rule);
break;
default:
throw new IllegalArgumentException("type " + rule.getType() + " not supported.");
}
}
//拼装where语句
appendWhereSql();
//拼装排序语句
appendOrderSql();
//拼装参数值
appendValues();
}
/**
* 去掉order
*
* @param sql
* @return
*/
protected String removeOrders(String sql) {
Pattern p = Pattern.compile("order\\s*by[\\w|\\W|\\s|\\S]*", Pattern.CASE_INSENSITIVE);
Matcher m = p.matcher(sql);
StringBuffer sb = new StringBuffer();
while (m.find()) {
m.appendReplacement(sb, "");
}
m.appendTail(sb);
return sb.toString();
}
/**
* 去掉select
*
* @param sql
* @return
*/
protected String removeSelect(String sql) {
if(sql.toLowerCase().matches("from\\s+")){
int beginPos = sql.toLowerCase().indexOf("from");
return sql.substring(beginPos);
}else{
return sql;
}
}
/**
* 处理like
* @param rule
*/
private void processLike(QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
Object obj = rule.getValues()[0];
if (obj != null) {
String value = obj.toString();
if (!StringUtils.isEmpty(value)) {
value = value.replace('*', '%');
obj = value;
}
}
add(rule.getAndOr(),rule.getPropertyName(),"like","%"+rule.getValues()[0]+"%");
}
/**
* 处理between
* @param rule
*/
private void processBetween(QueryRule.Rule rule) {
if ((ArrayUtils.isEmpty(rule.getValues()))
|| (rule.getValues().length < 2)) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),"","between",rule.getValues()[0],"and");
add(0,"","","",rule.getValues()[1],"");
}
/**
* 处理 =
* @param rule
*/
private void processEqual(QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),"=",rule.getValues()[0]);
}
/**
* 处理 <>
* @param rule
*/
private void processNotEqual(QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),"<>",rule.getValues()[0]);
}
/**
* 处理 >
* @param rule
*/
private void processGreaterThen(
QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),">",rule.getValues()[0]);
}
/**
* 处理>=
* @param rule
*/
private void processGreaterEqual(
QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),">=",rule.getValues()[0]);
}
/**
* 处理<
* @param rule
*/
private void processLessThen(QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),"<",rule.getValues()[0]);
}
/**
* 处理<=
* @param rule
*/
private void processLessEqual(
QueryRule.Rule rule) {
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
add(rule.getAndOr(),rule.getPropertyName(),"<=",rule.getValues()[0]);
}
/**
* 处理 is null
* @param rule
*/
private void processIsNull(QueryRule.Rule rule) {
add(rule.getAndOr(),rule.getPropertyName(),"is null",null);
}
/**
* 处理 is not null
* @param rule
*/
private void processIsNotNull(QueryRule.Rule rule) {
add(rule.getAndOr(),rule.getPropertyName(),"is not null",null);
}
/**
* 处理 <>''
* @param rule
*/
private void processIsNotEmpty(QueryRule.Rule rule) {
add(rule.getAndOr(),rule.getPropertyName(),"<>","''");
}
/**
* 处理 =''
* @param rule
*/
private void processIsEmpty(QueryRule.Rule rule) {
add(rule.getAndOr(),rule.getPropertyName(),"=","''");
}
/**
_ 处理 in 和 not in
_ @param rule
_ @param name
_/
private void inAndNotIn(QueryRule.Rule rule,String name){
if (ArrayUtils.isEmpty(rule.getValues())) {
return;
}
if ((rule.getValues().length == 1) && (rule.getValues()[0] != null)
&& (rule.getValues()[0] instanceof List)) {
List
if ((list != null) && (list.size() > 0)){
for (int i = 0; i < list.size(); i++) {
if(i == 0 && i == list.size() - 1){
add(rule.getAndOr(),rule.getPropertyName(),"",name + " (",list.get(i),")");
}else if(i == 0 && i < list.size() - 1){
add(rule.getAndOr(),rule.getPropertyName(),"",name + " (",list.get(i),"");
}
if(i > 0 && i < list.size() - 1){
add(0,"",",","",list.get(i),"");
}
if(i == list.size() - 1 && i != 0){
add(0,"",",","",list.get(i),")");
}
}
}
} else {
Object[] list = rule.getValues();
for (int i = 0; i < list.length; i++) {
if(i == 0 && i == list.length - 1){
add(rule.getAndOr(),rule.getPropertyName(),"",name + " (",list[i],")");
}else if(i == 0 && i < list.length - 1){
add(rule.getAndOr(),rule.getPropertyName(),"",name + " (",list[i],"");
}
if(i > 0 && i < list.length - 1){
add(0,"",",","",list[i],"");
}
if(i == list.length - 1 && i != 0){
add(0,"",",","",list[i],")");
}
}
}
}
/**
* 处理 not in
* @param rule
*/
private void processNotIN(QueryRule.Rule rule){
inAndNotIn(rule,"not in");
}
/**
* 处理 in
* @param rule
*/
private void processIN(QueryRule.Rule rule) {
inAndNotIn(rule,"in");
}
/**
* 处理 order by
* @param rule 查询规则
*/
private void processOrder(Rule rule) {
switch (rule.getType()) {
case QueryRule.ASC_ORDER:
//propertyName非空
if (!StringUtils.isEmpty(rule.getPropertyName())) {
orders.add(Order.asc(rule.getPropertyName()));
}
break;
case QueryRule.DESC_ORDER:
//propertyName非空
if (!StringUtils.isEmpty(rule.getPropertyName())) {
orders.add(Order.desc(rule.getPropertyName()));
}
break;
default:
break;
}
}
/**
_ 加入 SQL 查询规则队列
_ @param andOr and 或者 or
_ @param key 列名
_ @param split 列名与值之间的间隔
_ @param value 值
_/
private void add(int andOr,String key,String split ,Object value){
add(andOr,key,split,””,value,””);
}
/**
* 加入SQL查询规则队列
* @param andOr and 或则 or
* @param key 列名
* @param split 列名与值之间的间隔
* @param prefix 值前缀
* @param value 值
* @param suffix 值后缀
*/
private void add(int andOr,String key,String split,String prefix,Object value,String suffix){
String andOrStr = (0 == andOr ? "" :(QueryRule.AND == andOr ? " and " : " or "));
properties.add(CURR_INDEX, andOrStr + key + " " + split + prefix + (null != value ? " ? " : " ") + suffix);
if(null != value){
values.add(CURR_INDEX,value);
CURR_INDEX ++;
}
}
/**
_ 拼装 where 语句
_/
private void appendWhereSql(){
StringBuffer whereSql = new StringBuffer();
for (String p : properties) {
whereSql.append(p);
}
this.whereSql = removeSelect(removeOrders(whereSql.toString()));
}
/**
* 拼装排序语句
*/
private void appendOrderSql(){
StringBuffer orderSql = new StringBuffer();
for (int i = 0 ; i < orders.size(); i ++) {
if(i > 0 && i < orders.size()){
orderSql.append(",");
}
orderSql.append(orders.get(i).toString());
}
this.orderSql = removeSelect(removeOrders(orderSql.toString()));
}
/**
* 拼装参数值
*/
private void appendValues(){
Object [] val = new Object[values.size()];
for (int i = 0; i < values.size(); i ++) {
val[i] = values.get(i);
valueMap.put(i, values.get(i));
}
this.valueArr = val;
}
}
3.4 BaseDaoSupport#
BaseDaoSupport 主要是对 JdbcTemplate 的包装,下面讲一下其重要代码,请“小伙伴们” 关 注 公 众 号 『 Tom 弹架构 』,回复 “ Spring “ 可下载全部源代码。先看全局定义:
package com.tom.orm.framework;
...
/**
* BaseDao 扩展类,主要功能是支持自动拼装SQL语句,必须继承方可使用
* @author Tom
*/
public abstract class BaseDaoSupport<T extends Serializable, PK extends Serializable> implements BaseDao<T,PK> {
private Logger log = Logger.getLogger(BaseDaoSupport.class);
private String tableName = "";
private JdbcTemplate jdbcTemplateWrite;
private JdbcTemplate jdbcTemplateReadOnly;
private DataSource dataSourceReadOnly;
private DataSource dataSourceWrite;
private EntityOperation<T> op;
@SuppressWarnings("unchecked")
protected BaseDaoSupport(){
try{
Class<T> entityClass = GenericsUtils.getSuperClassGenricType(getClass(), 0);
op = new EntityOperation<T>(entityClass,this.getPKColumn());
this.setTableName(op.tableName);
}catch(Exception e){
e.printStackTrace();
}
}
protected String getTableName() { return tableName; }
protected DataSource getDataSourceReadOnly() { return dataSourceReadOnly; }
protected DataSource getDataSourceWrite() { return dataSourceWrite; }
/**
* 动态切换表名
*/
protected void setTableName(String tableName) {
if(StringUtils.isEmpty(tableName)){
this.tableName = op.tableName;
}else{
this.tableName = tableName;
}
}
protected void setDataSourceWrite(DataSource dataSourceWrite) {
this.dataSourceWrite = dataSourceWrite;
jdbcTemplateWrite = new JdbcTemplate(dataSourceWrite);
}
protected void setDataSourceReadOnly(DataSource dataSourceReadOnly) {
this.dataSourceReadOnly = dataSourceReadOnly;
jdbcTemplateReadOnly = new JdbcTemplate(dataSourceReadOnly);
}
private JdbcTemplate jdbcTemplateReadOnly() {
return this.jdbcTemplateReadOnly;
}
private JdbcTemplate jdbcTemplateWrite() {
return this.jdbcTemplateWrite;
}
/**
* 还原默认表名
*/
protected void restoreTableName(){ this.setTableName(op.tableName); }
/**
* 获取主键列名称,建议子类重写
* @return
*/
protected abstract String getPKColumn();
protected abstract void setDataSource(DataSource dataSource);
//此处有省略
}
为了照顾程序员的一般使用习惯,查询方法的前缀命名主要有 select、get、load,兼顾 Hibernate 和 MyBatis 的命名风格。
/**
_ 查询函数,使用查询规则
_ 例如以下代码查询条件为匹配的数据 *
_ @param queryRule 查询规则
_ @return 查询的结果 List
*/
public List
QueryRuleSqlBuilder bulider = new QueryRuleSqlBuilder(queryRule);
String ws = removeFirstAnd(bulider.getWhereSql());
String whereSql = (“”.equals(ws) ? ws : (“ where “ + ws));
String sql = “select “ + op.allColumn + “ from “ + getTableName() + whereSql;
Object [] values = bulider.getValues();
String orderSql = bulider.getOrderSql();
orderSql = (StringUtils.isEmpty(orderSql) ? “ “ : (“ order by “ + orderSql));
sql += orderSql;
log.debug(sql);
return (List
}
...
/**
* 根据SQL语句执行查询,参数为Object数组对象
* @param sql 查询语句
* @param args 为Object数组
* @return 符合条件的所有对象
*/
public List<Map<String,Object>> selectBySql(String sql,Object... args) throws Exception{
return this.jdbcTemplateReadOnly().queryForList(sql,args);
}
...
/**
* 分页查询函数,使用查询规则<br>
* 例如以下代码查询条件为匹配的数据
*
* @param queryRule 查询规则
* @param pageNo 页号,从1开始
* @param pageSize 每页的记录条数
* @return 查询的结果Page
*/
public Page<T> select(QueryRule queryRule,final int pageNo, final int pageSize) throws Exception{
QueryRuleSqlBuilder bulider = new QueryRuleSqlBuilder(queryRule);
Object [] values = bulider.getValues();
String ws = removeFirstAnd(bulider.getWhereSql());
String whereSql = ("".equals(ws) ? ws : (" where " + ws));
String countSql = "select count(1) from " + getTableName() + whereSql;
long count = (Long) this.jdbcTemplateReadOnly().queryForMap(countSql, values).get ("count(1)");
if (count == 0) {
return new Page<T>();
}
long start = (pageNo - 1) * pageSize;
//在有数据的情况下,继续查询
String orderSql = bulider.getOrderSql();
orderSql = (StringUtils.isEmpty(orderSql) ? " " : (" order by " + orderSql));
String sql = "select " + op.allColumn +" from " + getTableName() + whereSql + orderSql + " limit " + start + "," + pageSize;
List<T> list = (List<T>) this.jdbcTemplateReadOnly().query(sql, this.op.rowMapper, values);
log.debug(sql);
return new Page<T>(start, count, pageSize, list);
}
...
/**
* 分页查询特殊SQL语句
* @param sql 语句
* @param param 查询条件
* @param pageNo 页码
* @param pageSize 每页内容
* @return
*/
public Page<Map<String,Object>> selectBySqlToPage(String sql, Object [] param, final int pageNo, final int pageSize) throws Exception {
String countSql = "select count(1) from (" + sql + ") a";
long count = (Long) this.jdbcTemplateReadOnly().queryForMap(countSql,param).get("count(1)");
if (count == 0) {
return new Page<Map<String,Object>>();
}
long start = (pageNo - 1) * pageSize;
sql = sql + " limit " + start + "," + pageSize;
List<Map<String,Object>> list = (List<Map<String,Object>>) this.jdbcTemplateReadOnly(). queryForList(sql, param);
log.debug(sql);
return new Page<Map<String,Object>>(start, count, pageSize, list);
}
/**
* 获取默认的实例对象
* @param <T>
* @param pkValue
* @param rowMapper
* @return
*/
private <T> T doLoad(Object pkValue, RowMapper<T> rowMapper){
Object obj = this.doLoad(getTableName(), getPKColumn(), pkValue, rowMapper);
if(obj != null){
return (T)obj;
}
return null;
}
插入方法,均以 insert 开头:
/**
_ 插入并返回 ID
_ @param entity
_ @return
_/
public PK insertAndReturnId(T entity) throws Exception{
return (PK)this.doInsertRuturnKey(parse(entity));
}
/**
* 插入一条记录
* @param entity
* @return
*/
public boolean insert(T entity) throws Exception{
return this.doInsert(parse(entity));
}
/**
* 批量保存对象.<br>
*
* @param list 待保存的对象List
* @throws InvocationTargetException
* @throws IllegalArgumentException
* @throws IllegalAccessException
*/
public int insertAll(List<T> list) throws Exception {
int count = 0 ,len = list.size(),step = 50000;
Map<String, PropertyMapping> pm = op.mappings;
int maxPage = (len % step == 0) ? (len / step) : (len / step + 1);
for (int i = 1; i <= maxPage; i ++) {
Page<T> page = pagination(list, i, step);
String sql = "insert into " + getTableName() + "(" + op.allColumn + ") values ";// (" + valstr.toString() + ")";
StringBuffer valstr = new StringBuffer();
Object[] values = new Object[pm.size() * page.getRows().size()];
for (int j = 0; j < page.getRows().size(); j ++) {
if(j > 0 && j < page.getRows().size()){ valstr.append(","); }
valstr.append("(");
int k = 0;
for (PropertyMapping p : pm.values()) {
values[(j * pm.size()) + k] = p.getter.invoke(page.getRows().get(j));
if(k > 0 && k < pm.size()){ valstr.append(","); }
valstr.append("?");
k ++;
}
valstr.append(")");
}
int result = jdbcTemplateWrite().update(sql + valstr.toString(), values);
count += result;
}
return count;
}
private Serializable doInsertRuturnKey(Map<String,Object> params){
final List<Object> values = new ArrayList<Object>();
final String sql = makeSimpleInsertSql(getTableName(),params,values);
KeyHolder keyHolder = new GeneratedKeyHolder();
final JdbcTemplate jdbcTemplate = new JdbcTemplate(getDataSourceWrite());
try {
jdbcTemplate.update(new PreparedStatementCreator() {
public PreparedStatement createPreparedStatement(
Connection con) throws SQLException {
PreparedStatement ps = con.prepareStatement(sql,Statement.RETURN_GENERATED_KEYS);
for (int i = 0; i < values.size(); i++) {
ps.setObject(i+1, values.get(i)==null?null:values.get(i));
}
return ps;
}
}, keyHolder);
} catch (DataAccessException e) {
log.error("error",e);
}
if (keyHolder == null) { return “”; }
Map<String, Object> keys = keyHolder.getKeys();
if (keys == null || keys.size() == 0 || keys.values().size() == 0) {
return “”;
}
Object key = keys.values().toArray()[0];
if (key == null || !(key instanceof Serializable)) {
return “”;
}
if (key instanceof Number) {
//Long k = (Long) key;
Class clazz = key.getClass();
// return clazz.cast(key);
return (clazz == int.class || clazz == Integer.class) ? ((Number) key).intValue() : ((Number)key).longValue();
} else if (key instanceof String) {
return (String) key;
} else {
return (Serializable) key;
}
}
/**
* 插入
* @param params
* @return
*/
private boolean doInsert(Map<String, Object> params) {
String sql = this.makeSimpleInsertSql(this.getTableName(), params);
int ret = this.jdbcTemplateWrite().update(sql, params.values().toArray());
return ret > 0;
}
删除方法,均以delete开头:
/**
_ 删除对象.
_
_ @param entity 待删除的实体对象
_/
public boolean delete(T entity) throws Exception {
return this.doDelete(op.pkField.get(entity)) > 0;
}
/**
* 删除对象.<br>
*
* @param list 待删除的实体对象列表
* @throws InvocationTargetException
* @throws IllegalArgumentException
* @throws IllegalAccessException
*/
public int deleteAll(List<T> list) throws Exception {
String pkName = op.pkField.getName();
int count = 0 ,len = list.size(),step = 1000;
Map<String, PropertyMapping> pm = op.mappings;
int maxPage = (len % step == 0) ? (len / step) : (len / step + 1);
for (int i = 1; i <= maxPage; i ++) {
StringBuffer valstr = new StringBuffer();
Page<T> page = pagination(list, i, step);
Object[] values = new Object[page.getRows().size()];
for (int j = 0; j < page.getRows().size(); j ++) {
if(j > 0 && j < page.getRows().size()){ valstr.append(","); }
values[j] = pm.get(pkName).getter.invoke(page.getRows().get(j));
valstr.append("?");
}
String sql = "delete from " + getTableName() + " where " + pkName + " in (" + valstr.toString() + ")";
int result = jdbcTemplateWrite().update(sql, values);
count += result;
}
return count;
}
/**
* 根据id删除对象。如果有记录则删之,没有记录也不报异常<br>
* 例如:删除主键唯一的记录
*
* @param id 序列化id
*/
protected void deleteByPK(PK id) throws Exception {
this.doDelete(id);
}
/**
* 删除实例对象,返回删除记录数
* @param tableName
* @param pkName
* @param pkValue
* @return
*/
private int doDelete(String tableName, String pkName, Object pkValue) {
StringBuffer sb = new StringBuffer();
sb.append("delete from ").append(tableName).append(" where ").append(pkName).append(" = ?");
int ret = this.jdbcTemplateWrite().update(sb.toString(), pkValue);
return ret;
}
修改方法,均以 update 开头:
/**
_ 更新对象.
_
_ @param entity 待更新对象
_ @throws IllegalAccessException
_ @throws IllegalArgumentException
_/
public boolean update(T entity) throws Exception {
return this.doUpdate(op.pkField.get(entity), parse(entity)) > 0;
}
/**
* 更新实例对象,返回删除记录数
* @param pkValue
* @param params
* @return
*/
private int doUpdate(Object pkValue, Map<String, Object> params){
String sql = this.makeDefaultSimpleUpdateSql(pkValue, params);
params.put(this.getPKColumn(), pkValue);
int ret = this.jdbcTemplateWrite().update(sql, params.values().toArray());
return ret;
}
至此一个完整的 ORM 框架就横空出世。当然,还有很多优化的地方,请小伙伴可以继续完善。