Question

我正在尝试获取具有增量日期的行数。

我的表格如下：

ID name status create_date
1  John AC     2016-01-01 00:00:26.513
2  Jane AC     2016-01-02 00:00:26.513
3  Kane AC     2016-01-02 00:00:26.513
4  Carl AC     2016-01-03 00:00:26.513
5  Dave AC     2016-01-04 00:00:26.513
6  Gina AC     2016-01-04 00:00:26.513

现在我想从SQL返回的内容是这样的：

Date        Count
2016-01-01  1
2016-01-02  3
2016-01-03  4
2016-01-04  6

Answer 1

使用COUNT() OVER ()，您可以在PARTITION BY之后使用ORDER BY。它将为您提供累积总和。使用DISTINCT过滤掉重复的值。

SELECT DISTINCT CAST(create_date AS DATE) [Date],
       COUNT(create_date) OVER (ORDER BY CAST(create_date AS DATE)) as [COUNT]
FROM [YourTable]

Answer 2

select r.date,count(r.date) count
from
(
    select id,name,substring(convert(nvarchar(50),create_date),1,10) date
    from tblName
) r
group by r.date

在此代码中，在子查询部分中，我选择从dateTime转换为nvarchar的前10个日期字母，所以我做的就像'2016-01-01'。（这也不是必需的，但为了使代码更具可读性，我更喜欢以这种方式实现）。然后用一个简单的组我有日期和日期的计数。

Answer 3

SELECT create_date, COUNT(create_date) as [COUNT]
FROM (
    SELECT CAST(create_date AS DATE) create_date
    FROM [YourTable]
) T
GROUP BY create_date

Answer 4

根据您的描述，您需要一个连续的日期列表，它是否有意义？此示例仅生成一个月的数据。

    CREATE TABLE #tt(ID INT, name VARCHAR(10), status VARCHAR(10), create_date DATETIME)
    INSERT INTO #tt

    SELECT 1,'John','AC','2016-01-01 00:00:26.513' UNION
    SELECT 2,'Jane','AC','2016-01-02 00:00:26.513' UNION
    SELECT 3,'Kane','AC','2016-01-02 00:00:26.513' UNION
    SELECT 4,'Carl','AC','2016-01-03 00:00:26.513' UNION
    SELECT 5,'Dave','AC','2016-01-04 00:00:26.513' UNION
    SELECT 6,'Gina','AC','2016-01-04 00:00:26.513' UNION
    SELECT 7,'Tina','AC','2016-01-08 00:00:26.513'
    SELECT * FROM #tt

    SELECT CONVERT(DATE,DATEADD(d,sv.number,n.FirstDate)) AS [Date],COUNT(n.num) AS [Count]
    FROM master.dbo.spt_values AS sv 
    LEFT JOIN (
        SELECT MIN(t.create_date)OVER() AS FirstDate,DATEDIFF(d,MIN(t.create_date)OVER(),t.create_date) AS num FROM  #tt AS t
    ) AS n ON n.num<=sv.number
    WHERE sv.type='P' AND sv.number>=0 AND MONTH(DATEADD(d,sv.number,n.FirstDate))=MONTH(n.FirstDate)
    GROUP BY CONVERT(DATE,DATEADD(d,sv.number,n.FirstDate))

Date       Count
---------- -----------
2016-01-01 1
2016-01-02 3
2016-01-03 4
2016-01-04 6
2016-01-05 6
2016-01-06 6
2016-01-07 6
2016-01-08 7
2016-01-09 7
2016-01-10 7
2016-01-11 7
2016-01-12 7
2016-01-13 7
2016-01-14 7
2016-01-15 7
2016-01-16 7
2016-01-17 7
2016-01-18 7
2016-01-19 7
2016-01-20 7
2016-01-21 7
2016-01-22 7
2016-01-23 7
2016-01-24 7
2016-01-25 7
2016-01-26 7
2016-01-27 7
2016-01-28 7
2016-01-29 7
2016-01-30 7
2016-01-31 7
2017-01-01 7
2017-01-02 7
2017-01-03 7
2017-01-04 7
2017-01-05 7
2017-01-06 7
2017-01-07 7
2017-01-08 7
2017-01-09 7
2017-01-10 7
2017-01-11 7
2017-01-12 7
2017-01-13 7
2017-01-14 7
2017-01-15 7
2017-01-16 7
2017-01-17 7
2017-01-18 7
2017-01-19 7
2017-01-20 7
2017-01-21 7
2017-01-22 7
2017-01-23 7
2017-01-24 7
2017-01-25 7
2017-01-26 7
2017-01-27 7
2017-01-28 7
2017-01-29 7
2017-01-30 7
2017-01-31 7
2018-01-01 7
2018-01-02 7
2018-01-03 7
2018-01-04 7
2018-01-05 7
2018-01-06 7
2018-01-07 7
2018-01-08 7
2018-01-09 7
2018-01-10 7
2018-01-11 7
2018-01-12 7
2018-01-13 7
2018-01-14 7
2018-01-15 7
2018-01-16 7
2018-01-17 7
2018-01-18 7
2018-01-19 7
2018-01-20 7
2018-01-21 7
2018-01-22 7
2018-01-23 7
2018-01-24 7
2018-01-25 7
2018-01-26 7
2018-01-27 7
2018-01-28 7
2018-01-29 7
2018-01-30 7
2018-01-31 7
2019-01-01 7
2019-01-02 7
2019-01-03 7
2019-01-04 7
2019-01-05 7
2019-01-06 7
2019-01-07 7
2019-01-08 7
2019-01-09 7
2019-01-10 7
2019-01-11 7
2019-01-12 7
2019-01-13 7
2019-01-14 7
2019-01-15 7
2019-01-16 7
2019-01-17 7
2019-01-18 7
2019-01-19 7
2019-01-20 7
2019-01-21 7
2019-01-22 7
2019-01-23 7
2019-01-24 7
2019-01-25 7
2019-01-26 7
2019-01-27 7
2019-01-28 7
2019-01-29 7
2019-01-30 7
2019-01-31 7
2020-01-01 7
2020-01-02 7
2020-01-03 7
2020-01-04 7
2020-01-05 7
2020-01-06 7
2020-01-07 7
2020-01-08 7
2020-01-09 7
2020-01-10 7
2020-01-11 7
2020-01-12 7
2020-01-13 7
2020-01-14 7
2020-01-15 7
2020-01-16 7
2020-01-17 7
2020-01-18 7
2020-01-19 7
2020-01-20 7
2020-01-21 7
2020-01-22 7
2020-01-23 7
2020-01-24 7
2020-01-25 7
2020-01-26 7
2020-01-27 7
2020-01-28 7
2020-01-29 7
2020-01-30 7
2020-01-31 7
2021-01-01 7
2021-01-02 7
2021-01-03 7
2021-01-04 7
2021-01-05 7
2021-01-06 7
2021-01-07 7
2021-01-08 7
2021-01-09 7
2021-01-10 7
2021-01-11 7
2021-01-12 7
2021-01-13 7
2021-01-14 7
2021-01-15 7
2021-01-16 7
2021-01-17 7
2021-01-18 7
2021-01-19 7
2021-01-20 7
2021-01-21 7
2021-01-22 7
2021-01-23 7
2021-01-24 7
2021-01-25 7
2021-01-26 7
2021-01-27 7
2021-01-28 7
2021-01-29 7
2021-01-30 7
2021-01-31 7

如何按日期计算增量数

4 个答案: