atitit.判断时间重叠方法总结javac++c#.netjsphp
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2022-05-26 12:52:56
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atitit.判断时间重叠方法总结 java c++ c#.net js php 1. 判断时间重叠具体流程思路 1 2. 重叠算法 实际上就是日期集合跟个时间集合的的交集(乘法算法) 1 3. 代码--- 1 4. 最终生成的sql 3 5. 参考 5 1. 判断时间重叠具体流程思路 先判断日期重叠,在判断时
atitit.判断时间重叠方法总结 java c++ c#.net js php
1. 判断时间重叠具体流程思路 1
2. 重叠算法 实际上就是日期集合跟个时间集合的的交集(乘法算法) 1
3. 代码--- 1
4. 最终生成的sql 3
5. 参考 5
1. 判断时间重叠具体流程思路
先判断日期重叠,在判断时间区段重叠。
每个区段都有内包含,外包含,左包含,右包括...所以,or表达式需要4*4=16个..每个or 表达式包括4个and表达式( 两个日期表达式,两个时间范围表达式)
最终的最终的的表达式需要16*4=64个,,比较长的了..
2. 重叠算法 实际上就是日期集合跟个时间集合的的交集(乘法算法)
在程序设计里有。。。。。
回答
那实际上就是交、并、差。
所谓加,实际上就是求两个集合的并集
减,就是求两个集合的差集
乘,就是求两个集合的并集
它们都是从逻辑的运算推出来的
另外更正一下:乘是求两个集合的交集。
3. 代码---
private void ini() { String db_start_fld = "start_time"; String db_end_fld = "end_time"; String db_include_exp = "db_start_fld>=ui_start and db_end_fld=ui_end "; String db_leftinclude_exp = "db_end_fld>=ui_start and db_end_fld =ui_start and db_end_fld dateExpList = new ArrayList() { { add(expandFunc(db_include_exp)); add(expandFunc(db_outclude_exp)); add(expandFunc(db_leftinclude_exp)); add(expandFunc(db_ritinclude_exp)); } private String expandFunc(String db_include_exp) { String db_start_fld_Datefunc = " CONVERT(varchar(100), db_start_fld, 23)"; String db_end_fld_Datefunc = " CONVERT(varchar(100), db_end_fld, 23)"; return db_include_exp.replaceAll("db_start_fld", db_start_fld_Datefunc).replaceAll("db_end_fld", db_end_fld_Datefunc); } }; List timeExpList = new ArrayList () { { add(expandFunc(db_include_exp)); add(expandFunc(db_outclude_exp)); add(expandFunc(db_leftinclude_exp)); add(expandFunc(db_ritinclude_exp)); } private String expandFunc(String db_include_exp) { String db_start_fld_Timefunc = " CONVERT(varchar(100), db_start_fld, 8)"; String db_end_fld_Timefunc = " CONVERT(varchar(100), db_end_fld, 8)"; return db_include_exp.replaceAll("db_start_fld", db_start_fld_Timefunc).replaceAll("db_end_fld", db_end_fld_Timefunc); } }; List finalList= new ArrayList () {{ for (String dateExp : dateExpList) { for (String timeExp : timeExpList) { this.add(dateExp+" and "+timeExp.replaceAll("db_start_fld", db_start_fld).replaceAll("db_end_fld", db_end_fld)); } } }}; String sql=new ArrayList(){ private String exec( ) { String exp_final=" 1=1 "; for (String exp : finalList) { //if(exp_final.length()==0) exp_final=exp_final + " or ( "+exp +" ) "; } return exp_final; }}.exec( ); System.out.println(sql); }
4. 最终生成的sql
SELECT * FROM tab WHERE 1=1 OR (CONVERT(varchar(100), db_start_fld, 23)>=ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_start AND CONVERT(varchar(100), end_time, 8)=ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_end) OR (CONVERT(varchar(100), db_start_fld, 23)>=ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_start AND CONVERT(varchar(100), end_time, 8) =ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_start AND CONVERT(varchar(100), end_time, 8)=ui_end AND CONVERT(varchar(100), start_time, 8)>=ui_start AND CONVERT(varchar(100), end_time, 8)=ui_end AND CONVERT(varchar(100), start_time, 8)=ui_end) OR (CONVERT(varchar(100), db_start_fld, 23)=ui_end AND CONVERT(varchar(100), end_time, 8)>=ui_start AND CONVERT(varchar(100), end_time, 8) =ui_end AND CONVERT(varchar(100), start_time, 8)>=ui_start AND CONVERT(varchar(100), end_time, 8)=ui_start AND CONVERT(varchar(100), db_end_fld, 23) =ui_start AND CONVERT(varchar(100), end_time, 8)=ui_start AND CONVERT(varchar(100), db_end_fld, 23) =ui_end) OR (CONVERT(varchar(100), db_end_fld, 23)>=ui_start AND CONVERT(varchar(100), db_end_fld, 23) =ui_start AND CONVERT(varchar(100), end_time, 8) =ui_start AND CONVERT(varchar(100), db_end_fld, 23) =ui_start AND CONVERT(varchar(100), end_time, 8)=ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_start AND CONVERT(varchar(100), end_time, 8)=ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_end) OR (CONVERT(varchar(100), db_start_fld, 23)>=ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_start AND CONVERT(varchar(100), end_time, 8) =ui_start AND CONVERT(varchar(100), db_end_fld, 23)=ui_start AND CONVERT(varchar(100), end_time, 8)
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