今天做个后台服务，有个需求是批量生成一批表的数据，如果用BulkInsert会提升很大一截提交效率，但是如果用循环构造提交的Datable，则算法开销太高，所以用这种查询批量查出符合格式的DataTable结果集。
*思想就是将查询列做CASE判断值，然后放在 SELECT段中作为别名列显示字段值，然后再根据ID分组。
下面是内层的原始查询效果:
下面是行转列后查询效果如图:
下面是上面两张图的最终查询语句:
1 SELECT f_gameID,SUM(score) AS totNum,
2 SUM(CASE f_sub WHEN '01' THEN score ELSE 0 END) AS f_subject01,SUM(CASE f_sub WHEN '02' THEN score ELSE 0 END) AS f_subject02,
3 SUM(CASE f_sub WHEN '03' THEN score ELSE 0 END) AS f_subject03,SUM(CASE f_sub WHEN '04' THEN score ELSE 0 END) AS f_subject04,
4 SUM(CASE f_sub WHEN '05' THEN score ELSE 0 END) AS f_subject05,SUM(CASE f_sub WHEN '06' THEN score ELSE 0 END) AS f_subject06,
5 SUM(CASE f_sub WHEN '07' THEN score ELSE 0 END) AS f_subject07,SUM(CASE f_sub WHEN '08' THEN score ELSE 0 END) AS f_subject08,
6 SUM(CASE f_sub WHEN '09' THEN score ELSE 0 END) AS f_subject09
7 FROM
8 (
9 SELECT u.f_gameID,u.f_sub,COUNT(u.f_sub) AS score
10 FROM t_mfg_GameUserAnswers AS u
11 LEFT JOIN t_mfg_Class AS c ON u.f_gameId = c.f_gameId
12 WHERE u.f_startTime > '2015-07-20'
13 AND u.f_endTime < '2015-07-24'
14 -- AND c.f_schoolId = 193034
15 GROUP BY u.f_gameID ,u.f_sub
16 ) AS a
17 GROUP BY f_gameID;