我有一个在特定列中有多个值的表,我正在尝试编写两个sql查询,它将识别整个重复项集和整组唯一记录,我写了很少的查询,但在唯一集中,我从重复集中获取一条记录。
样本数据,
pay_id, pay_ratio, pay_type, cor_id
123, 12, C, Annual
123, 12, C, Annual
456, 13, A, Semi-Annual
476, 43, B, Monthly
987, 32, H, Daily
987, 32, H, Daily
我正在尝试将上述数据集分开,如下所示。
唯一数据集
pay_id, pay_ratio, pay_type, cor_id
456, 13, A, Semi-Annual
476, 43, B, Monthly
重复数据集
pay_id, pay_ratio, pay_type, cor_id
123, 12, C, Annual
123, 12, C, Annual
987, 32, H, Daily
987, 32, H, Daily
有人可以建议我如何使用SQL查询来实现这一点。
问候 西
您可以使用COUNT() OVER()
执行此操作:
SELECT pay_id, pay_ratio, pay_type, cor_id,
CASE
WHEN COUNT(*) OVER (PARTITION BY pay_id, pay_ratio, pay_type, cor_id) = 1
THEN 'unique'
ELSE 'dupl'
END AS type
FROM mytable
上述查询返回唯一记录的'unique'
和重复记录的'dupl'
。您可以将查询包装在CTE
或子查询中,并根据需要对其进行筛选。
注意:上述查询基于表的所有 4 个字段确定重复记录的假设。您可以根据需要更改PARTITION BY
子句,以解决其他一些重复的"逻辑"。
使用带有row_number()
的公用表表达式
独特:
;with cte as (
select *
, rn = row_number() over (partition by pay_id order by pay_type)
from t
)
select *
from cte
where not exists (
select 1
from cte i
where i.pay_id = cte.pay_id
and i.rn > 1
)
Rextester 演示:http://rextester.com/LHIGTY81886
返回:
+--------+-----------+----------+-------------+----+
| pay_id | pay_ratio | pay_type | cor_id | rn |
+--------+-----------+----------+-------------+----+
| 456 | 13 | A | Semi-Annual | 1 |
| 476 | 43 | B | Monthly | 1 |
+--------+-----------+----------+-------------+----+
重复:
;with cte as (
select *
, rn = row_number() over (partition by pay_id order by pay_type)
from t
)
select *
from cte
where exists (
select 1
from cte i
where i.pay_id = cte.pay_id
and i.rn > 1
)
返回:
+--------+-----------+----------+--------+----+
| pay_id | pay_ratio | pay_type | cor_id | rn |
+--------+-----------+----------+--------+----+
| 123 | 12 | C | Annual | 1 |
| 123 | 12 | C | Annual | 2 |
| 987 | 32 | H | Daily | 1 |
| 987 | 32 | H | Daily | 2 |
+--------+-----------+----------+--------+----+
分组和计数:
SELECT
pay_id, pay_ratio, pay_type, cor_id,
COUNT(*) AS [Duplicates]
FROM table
GROUP BY pay_id, pay_ratio, pay_type, cor_id
HAVING COUNT(*) = 0 /* unique; > 0 - duplicates */
ORDER BY COUNT(*) ASC