标签：back 需要 语句 rac closed opened 查询 高级 span
查找SELECT 相同列的情况下，例如选择一个月每一天的某几项数据，相当于查询一个月三十行数据，为了在一个表中显示就要使用union函数。
eg：
SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-01%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-02%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-03%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-04%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-05%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-06%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-07%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-08%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-09%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-10%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-11%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-12%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-13%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-14%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-15%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-16%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-17%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-18%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-19%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-20%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-21%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-22%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-23%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-24%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-25%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-26%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-27%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-28%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-29%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-30%‘ AND act = ‘1005001001‘ UNION ALL SELECT COUNT(DISTINCT uid) AS c FROM da_track WHERE data_time LIKE ‘2018-05-31%‘ AND act = ‘1005001001‘
1. UNION 表示去重的结果；
2. UNION ALL 表示不进行去重的结果；
UNION函数就是用来拼表的，条件是每个选择语句的列相同，这个列的内容可能相同或者不同，不同的时候以第一个选择语句为准。
需求在哪？比如要使用拼接之后的表格，就很有用了，场景：一个月30天，求每一天去重的日活量，然后求和再做平均，这就需要将去重的日活拼接成一张30行的表，然后再做SUM然后再求平均。
根据实际需要使用UNION函数，使用SQL最重要的技能就是理解表格之间的关系，前后层次，你需要什么表格就使用连接JOIN、UNION等方法人为实现什么表格。
在重复查询的时候，一般都是修改一段SQL文的小部分语句，比如日期的天的数字，这种情况就需要掌握高级编辑方法来提高编辑效率，使用excel和高级文本编辑器(editplus等)以及正则化手段。
方法总结：
标签：back 需要 语句 rac closed opened 查询 高级 span
原文地址：https://www.cnblogs.com/xuhaojun/p/9138513.html
