开发同学让我帮忙看看一个数据怎么录合适。
原始的数据如下,要录入到数据库里。

先取消Excel的单元格合并.

删除第一行和第二行的数据,这些都是标题.
然后导出CSV文件,
使用文本文件编辑器打开CSV,替换 - 为 ,

然后德塔贝斯建个表。
再将CSV数据导入.

create table t(
id int primary key auto_increment,
starttime time,
endtime time,
d1 varchar(20),
d2 varchar(20),
d3 varchar(20),
d4 varchar(20),
d5 varchar(20),
d6 varchar(20),
d7 varchar(20)
);

类似于红框的部分,都是连续的节目,需要合并时间段。
下表是模拟开发同事最终录入数据的表。

create table target(
id int primary key auto_increment,
channel varchar(32) comment '电台名称',
d int comment '1-7 表示星期一或者星期二...',
starttime time comment '节目开始时间',
endtime time comment '节目结束时间',
program varchar(32) comment '节目名称'
);

录入的SQL

insert into target(channel,d,program,starttime,endtime)
select '中国之声',1,d1,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d1, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d1 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d1,rank
union all
select '中国之声',2,d2,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d2, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d2 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d2,rank
union all
select '中国之声',3,d3,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d3, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d3 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d3,rank
union all
select '中国之声',4,d4,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d4, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d4 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d4,rank
union all
select '中国之声',5,d5,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d5, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d5 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d5,rank
union all
select '中国之声',6,d6,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d6, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d6 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d6,rank
union all
select '中国之声',7,d7,min(starttime),max(endtime) from (
SELECT @gid := @cgid, @cgid := t.d7, if(@gid = @cgid, @rank,@rank := @rank + 1) AS rank, t.* from
(select id,starttime,endtime,d7 from t order by id) t ,(SELECT @gid := 1, @cgid := 1, @rank := 0) t2
) t4 group by d7,rank;

查看结果

这个方法看着步骤比较多，其实还是很省事儿的.
主要的工作就是把Excel导入数据库,导入之后的合并,使用同一个SQL改改就好。没啥工作量。
否则使用JAVA解析,还需要自己合并时间段.也不是一个轻松的事情.

该同学需要录入这种Excel 大致20多个..我觉得我这个方法核心步骤可以复用,应该还是很有效率的。

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