计算 hours/day 与重叠周期 SQL 的总和
Compute sum of hours/day with overlapping periods, SQL
我有一个 table,其中包含开始日期 (event.startdate)、结束日期 (event.enddate) 和 hours/person (event.hrday)一个事件。我有另一个 table,其中列出了工作日,每个人都有另一个字段 (calendar.name)。我想用每天的总工作时间填充这些列。如果两个事件在日期上重叠,我似乎无法弄清楚如何正确计算小时数,我只能为一个时间段内的单个事件得出正确的值。
我相信理论上这个问题有我需要的答案:compute sum of values associated with overlapping date ranges
但我是 SQL 的新手,即使经过一些额外的研究,我也不能从根本上理解发布的解决方案。我正在使用 Access 2013。抱歉,如果这是一个超级基本的问题,我希望我想做的事情可以用 Access 处理 "visually"...
我有什么:("event" table)
Startdate | Enddate | Hrsday | Name
5/1/2015 5/12/2015 1.25 Joe
5/7/2015 5/8/2015 8 Joe
我要查找的内容:("calendar" table,第一列中已填写天数)
Weekdays | Joe | name2 | name3 | ....
5/1/2015 1.25
5/4/2015 1.25
5/5/2015 1.25
5/6/2015 1.25
5/7/2015 9.25
5/8/2015 9.25
5/11/2015 1.25
5/12/2015 1.25
我尝试使用访问权限中的查询生成器来生成更新查询,但我的结果要么根本没有出现(没有更新,全部为空),要么只填充一个事件而没有重叠。 (5/1-5/12都有1.25).
如果您希望能够在 MS-Access 中实现这种结果(不使用窗口函数),我认为您需要创建一个 "date table"。
这是一个简单的示例,说明这在 SQL 服务器中如何工作,但仅使用 MS-Access 可用的语法(我希望如此)。
--Load the test data into a table variable
DECLARE @event TABLE (
[start_date] DATE,
end_date DATE,
hrsperday NUMERIC(19,2),
name VARCHAR(20));
INSERT INTO @event SELECT '20150401', '20150412', 1.25, 'Joe';
INSERT INTO @event SELECT '20150407', '20150408', 8, 'Joe';
--Add some more test data, to make it more "interesting"
INSERT INTO @event SELECT '20150401', '20150405', 0.1, 'Bill';
INSERT INTO @event SELECT '20150401', '20150430', 7.5, 'Bill';
INSERT INTO @event SELECT '20150412', '20150415', 0.5, 'Bill';
--Make a date table, this creates one on the fly but wouldn't work in MS-Access
--I store a date for each day in 2015/Apr, obviously I would want more dates eventually
DECLARE @dates TABLE (
[date] DATE);
WITH cte AS (
SELECT CONVERT(DATE, '20150401') AS [date]
UNION ALL
SELECT DATEADD(DAY, 1, [date]) FROM cte WHERE [date] < '20150430')
INSERT INTO
@dates
SELECT
[date]
FROM
cte OPTION (MAXRECURSION 0);
--Now the answer is trivial
SELECT
e.name,
d.[date],
SUM(hrsperday) AS hrs
FROM
@dates d
LEFT JOIN @event e ON d.[date] BETWEEN e.[start_date] AND e.end_date
GROUP BY
e.name,
d.[date]
ORDER BY
e.name,
d.[date];
--Note the format you want, but a PIVOT would give you this
--(I don't think PIVOT is supported by MS-Access though)
这方面的结果是:
name date hrs
Bill 2015-04-01 7.60
Bill 2015-04-02 7.60
Bill 2015-04-03 7.60
Bill 2015-04-04 7.60
Bill 2015-04-05 7.60
Bill 2015-04-06 7.50
Bill 2015-04-07 7.50
Bill 2015-04-08 7.50
Bill 2015-04-09 7.50
Bill 2015-04-10 7.50
Bill 2015-04-11 7.50
Bill 2015-04-12 8.00
Bill 2015-04-13 8.00
Bill 2015-04-14 8.00
Bill 2015-04-15 8.00
Bill 2015-04-16 7.50
Bill 2015-04-17 7.50
Bill 2015-04-18 7.50
Bill 2015-04-19 7.50
Bill 2015-04-20 7.50
Bill 2015-04-21 7.50
Bill 2015-04-22 7.50
Bill 2015-04-23 7.50
Bill 2015-04-24 7.50
Bill 2015-04-25 7.50
Bill 2015-04-26 7.50
Bill 2015-04-27 7.50
Bill 2015-04-28 7.50
Bill 2015-04-29 7.50
Bill 2015-04-30 7.50
Joe 2015-04-01 1.25
Joe 2015-04-02 1.25
Joe 2015-04-03 1.25
Joe 2015-04-04 1.25
Joe 2015-04-05 1.25
Joe 2015-04-06 1.25
Joe 2015-04-07 9.25
Joe 2015-04-08 9.25
Joe 2015-04-09 1.25
Joe 2015-04-10 1.25
Joe 2015-04-11 1.25
Joe 2015-04-12 1.25
我有一个 table,其中包含开始日期 (event.startdate)、结束日期 (event.enddate) 和 hours/person (event.hrday)一个事件。我有另一个 table,其中列出了工作日,每个人都有另一个字段 (calendar.name)。我想用每天的总工作时间填充这些列。如果两个事件在日期上重叠,我似乎无法弄清楚如何正确计算小时数,我只能为一个时间段内的单个事件得出正确的值。
我相信理论上这个问题有我需要的答案:compute sum of values associated with overlapping date ranges
但我是 SQL 的新手,即使经过一些额外的研究,我也不能从根本上理解发布的解决方案。我正在使用 Access 2013。抱歉,如果这是一个超级基本的问题,我希望我想做的事情可以用 Access 处理 "visually"...
我有什么:("event" table)
Startdate | Enddate | Hrsday | Name
5/1/2015 5/12/2015 1.25 Joe
5/7/2015 5/8/2015 8 Joe
我要查找的内容:("calendar" table,第一列中已填写天数)
Weekdays | Joe | name2 | name3 | ....
5/1/2015 1.25
5/4/2015 1.25
5/5/2015 1.25
5/6/2015 1.25
5/7/2015 9.25
5/8/2015 9.25
5/11/2015 1.25
5/12/2015 1.25
我尝试使用访问权限中的查询生成器来生成更新查询,但我的结果要么根本没有出现(没有更新,全部为空),要么只填充一个事件而没有重叠。 (5/1-5/12都有1.25).
如果您希望能够在 MS-Access 中实现这种结果(不使用窗口函数),我认为您需要创建一个 "date table"。
这是一个简单的示例,说明这在 SQL 服务器中如何工作,但仅使用 MS-Access 可用的语法(我希望如此)。
--Load the test data into a table variable
DECLARE @event TABLE (
[start_date] DATE,
end_date DATE,
hrsperday NUMERIC(19,2),
name VARCHAR(20));
INSERT INTO @event SELECT '20150401', '20150412', 1.25, 'Joe';
INSERT INTO @event SELECT '20150407', '20150408', 8, 'Joe';
--Add some more test data, to make it more "interesting"
INSERT INTO @event SELECT '20150401', '20150405', 0.1, 'Bill';
INSERT INTO @event SELECT '20150401', '20150430', 7.5, 'Bill';
INSERT INTO @event SELECT '20150412', '20150415', 0.5, 'Bill';
--Make a date table, this creates one on the fly but wouldn't work in MS-Access
--I store a date for each day in 2015/Apr, obviously I would want more dates eventually
DECLARE @dates TABLE (
[date] DATE);
WITH cte AS (
SELECT CONVERT(DATE, '20150401') AS [date]
UNION ALL
SELECT DATEADD(DAY, 1, [date]) FROM cte WHERE [date] < '20150430')
INSERT INTO
@dates
SELECT
[date]
FROM
cte OPTION (MAXRECURSION 0);
--Now the answer is trivial
SELECT
e.name,
d.[date],
SUM(hrsperday) AS hrs
FROM
@dates d
LEFT JOIN @event e ON d.[date] BETWEEN e.[start_date] AND e.end_date
GROUP BY
e.name,
d.[date]
ORDER BY
e.name,
d.[date];
--Note the format you want, but a PIVOT would give you this
--(I don't think PIVOT is supported by MS-Access though)
这方面的结果是:
name date hrs
Bill 2015-04-01 7.60
Bill 2015-04-02 7.60
Bill 2015-04-03 7.60
Bill 2015-04-04 7.60
Bill 2015-04-05 7.60
Bill 2015-04-06 7.50
Bill 2015-04-07 7.50
Bill 2015-04-08 7.50
Bill 2015-04-09 7.50
Bill 2015-04-10 7.50
Bill 2015-04-11 7.50
Bill 2015-04-12 8.00
Bill 2015-04-13 8.00
Bill 2015-04-14 8.00
Bill 2015-04-15 8.00
Bill 2015-04-16 7.50
Bill 2015-04-17 7.50
Bill 2015-04-18 7.50
Bill 2015-04-19 7.50
Bill 2015-04-20 7.50
Bill 2015-04-21 7.50
Bill 2015-04-22 7.50
Bill 2015-04-23 7.50
Bill 2015-04-24 7.50
Bill 2015-04-25 7.50
Bill 2015-04-26 7.50
Bill 2015-04-27 7.50
Bill 2015-04-28 7.50
Bill 2015-04-29 7.50
Bill 2015-04-30 7.50
Joe 2015-04-01 1.25
Joe 2015-04-02 1.25
Joe 2015-04-03 1.25
Joe 2015-04-04 1.25
Joe 2015-04-05 1.25
Joe 2015-04-06 1.25
Joe 2015-04-07 9.25
Joe 2015-04-08 9.25
Joe 2015-04-09 1.25
Joe 2015-04-10 1.25
Joe 2015-04-11 1.25
Joe 2015-04-12 1.25