I have a data.frame like below.
toolid startdate enddate stage
abc 1-Jan-13 5-Jan-13 production
abc 6-Jan-13 10-Jan-13 down
xyz 3-Jan-13 8-Jan-13 production
xyz 9-Jan-13 15-Jan-13 down
I want to get final output which will be like below. The output needs to return - count of each stage (there could be more than 2 stages) over each day between 1jan13 to 15jan13 (or any date range that an user wants). I was able to create the required result in R. I also wrote a cursor in SQL and it achieves the purpose. But is there a way to do the same without using cursors? I am looking for logic and direction.
date down production
1 2013-01-01 0 1
2 2013-01-02 0 1
3 2013-01-03 0 2
4 2013-01-04 0 2
5 2013-01-05 0 2
6 2013-01-06 1 1
7 2013-01-07 1 1
8 2013-01-08 1 1
9 2013-01-09 2 0
10 2013-01-10 2 0
11 2013-01-11 1 0
12 2013-01-12 1 0
13 2013-01-13 1 0
14 2013-01-14 1 0
15 2013-01-15 1 0
I think this may be what you want. It requires a recursive CTE to get a row for each day in the range.
with daterange as (
select startdate=min(startdate),enddate=max(enddate) from #source
), dates as (
select d=(select startdate from daterange) union all
select dateadd(day,1,d) from dates where d<(select enddate from daterange)
)
select
d,
down=(select count(*) from #source where d between startdate and enddate and stage='down'),
production=(select count(*) from #source where d between startdate and enddate and stage='production')
from dates
order by d;
Related
I have a table with the following data that I generated with a date table
date day_num (DAY_NUM % 7)
2019-07-09 0 0
2019-07-10 1 1
2019-07-11 2 2
2019-07-12 3 3
2019-07-13 4 4
2019-07-14 5 5
2019-07-15 6 6
2019-07-16 7 0
I basically want to get a week number that restarts at 0 and I need help figuring out the last part
The final output would look like this
date day_num (DAY_NUM % 7) week num
2019-07-09 0 0 1
2019-07-10 1 1 1
2019-07-11 2 2 1
2019-07-12 3 3 1
2019-07-13 4 4 1
2019-07-14 5 5 1
2019-07-15 6 6 1
2019-07-16 7 0 2
This is the sql I have so far
select
SUB.*,
DAY_NUM%7
FROM(
SELECT
DISTINCT
id_date,
row_number() over(order by id_date) -1 as day_num
FROM schema.date_tbl
WHERE Id_date BETWEEN "2019-07-09" AND date_add("2019-07-09",146)
Building on your query:
select SUB.*, DAY_NUM%7,
DENSE_RANK() OVER (ORDER BY FLOOR(DAY_NUM / 7)) as weeknum
FROM (SELECT DISTINCT id_date,
row_number() over(order by id_date) -1 as day_num
FROM schema.date_tbl
WHERE Id_date BETWEEN "2019-07-09" AND date_add("2019-07-09", 146)
) x
Is there a way to find the solution so that I need for 2 days, there are 2 UD's because there are June 24 2 times and for the rest there are single days.
I am showing the expected output here:
Primary key UD Date
-------------------------------------------
1 123 2015-06-24 00:00:00.000
6 456 2015-06-24 00:00:00.000
2 123 2015-06-25 00:00:00.000
3 658 2015-06-26 00:00:00.000
4 598 2015-06-27 00:00:00.000
5 156 2015-06-28 00:00:00.000
No of times Number of days
-----------------------------
4 1
2 2
The logic is 4 users are there who used the application on 1 day and there are 2 userd who used the application on 2 days
You can use two levels of aggregation:
select cnt, count(*)
from (select date, count(*) as cnt
from t
group by date
) d
group by cnt
order by cnt desc;
I have created a table that looks something like this:
ID TSPPLY_DT NEXT_DT DAYS_BTWN TIME_TO_EVENT CENSORED ENDPOINT
-----------------------------------------------------------------------------
1 2014-01-01 2014-01-10 10 10 0 0
1 2014-01-10 2014-01-21 11 21 0 0
1 2014-01-21 NULL NULL 21 1 0
2 2015-04-01 2015-04-30 30 30 0 0
2 2015-04-30 2015-05-03 1 31 0 1
2 2015-05-03 2015-05-06 3 34(should be 3)0 0
2 2015-05-06 2015-05-16 10 44(shouldbe 13)1 0
The TIME_TO_EVENT column however is not adding up correctly with my code - The idea is to add up the days between until either ID changes, CENSORED = 1 or ENDPOINT = 1.
I think what I need is an addition column where I can sum based on an aggregate of ID and GROUPING... With an output as follows:
ID TSPPLY_DT NEXT_DT DAYS_BTWN TIME_TO_EVENT CENSORED ENDPOINT GROUPING
----------------------------------------------------------------------------------------
1 2014-01-01 2014-01-10 10 10 0 0 A
1 2014-01-10 2014-01-21 11 21 0 0 A
1 2014-01-21 NULL NULL 21 1 0 A
2 2015-04-01 2015-04-30 30 30 0 0 A
2 2015-04-30 2015-05-03 1 31 0 1 A
2 2015-05-03 2015-05-06 3 3 0 0 B
2 2015-05-06 2015-05-16 10 13 1 0 B
So any ideas on how to create the GROUPING column? It would be something like IF next rows ID is the same as current row, check CENSORED AND ENDPOINT. If either = 1, for the next row, change the grouping to a new value. Once a new ID is reached, reset the grouping to A (or whatever arbitrary value) and run the test again.
You need to use the DATEDIFF function, like this:
DATEDIFF(d, TSPPLY_DT, NEXT_DT) AS DAYS_BTWN
Now you don't need GROUP BY.
I would like to get report for drink purchased in whole month but price of the drink can change any time in month and I would like to get report for a month with price change
I have two tables
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
[DrinkHistory]:
ID DrinkID UserID qty DateTaken
----------------------------------------------------------------------
1 1 1 1 2014-05-10
2 1 1 2 2014-05-15
3 2 1 1 2014-06-01
4 2 1 4 2014-06-01
5 1 1 3 2014-05-20
6 1 1 4 2014-05-30
[DrinkPricesEffect]:
PriceID DrinkID DrinkPrice PriceEffectiveDate IsCurrent
-----------------------------------------------------------------------------------
1 1 10.00 2014-05-01 1
2 1 20.00 2014-05-20 1
3 2 9.00 2014-06-01 1
4 2 8.00 2014-01-01 1
5 1 30.00 2014-05-25 1
6 1 40.00 2014-05-28 1
I would like to have result as under date taken between 2014-05-1 to 2014-05-31
DrinkId Qty Price DateTaken PriceEffectiveDate
-----------------------------------------------------------------------
1 1 10 2014-05-10 2014-05-01
1 2 10 2014-05-15 2014-05-01
1 3 20 2014-05-20 2014-05-20
1 4 40 2014-05-30 2014-05-28
Is there any who can give me some idea or write query for me?
If your drink price can change any time in a month you could additionaly save the price for each purchase. I would add a column [PricePaid] to the table [DrinkHistory].
When adding a record to [DrinkHistory], the price for the drink at the moment is known, but later it might change so you save the current price to the history...
Then for your result you could just display the Whole [DrinkHistory]
SELECT * FROM DrinkHistory;
This should work:
Select
DH.DrinkId,
DH.Qty,
DPE.DrinkPrice AS Price,
DH.DateTaken,
DPE.PriceEffectiveDate
FROM DrinkHistory DH
JOIN DrinkPricesEffect DPE ON DPE.PriceID =
(
Select Top 1 PriceID FROM
(
Select PriceID,RANK() OVER(ORDER BY PriceEffectiveDate DESC ) AS rnk
FROM DrinkPricesEffect
WHERE DH.DrinkId = DrinkId AND
DH.DateTaken >= PriceEffectiveDate
)SubQ WHERE rnk = 1
)
WHERE DH.DateTaken Between '2014-05-01' AND '2014-05-30'
Here you can find the SQL Fiddle link: http://sqlfiddle.com/#!6/5f8fb/26/0
I want to add time in SQL Server. I have a column called checktime in the database which is a datetime datatype. I want to add the time from the column checktime. How can I do this ??
I'm doing this calculation for calculating total hrs an employee has worked during a specified day.
My database look like this.. I want to add the time from checktime where checktype = 1 and checktype = 2 and then subtract the results.
(checktype = 1 means check in and checktype = 2 means check out)
How can I do this??
Id EmpId CheckTime CheckType
---------------------------------------------------------------------------------
3 5 2013-01-03 09:00:15.000 1
4 5 2013-01-03 11:00:00.000 2
5 5 2013-01-03 11:30:00.000 1
6 5 2013-01-03 13:00:00.000 2
7 5 2013-01-03 13:30:00.000 1
8 5 2013-01-03 16:00:00.000 2
9 5 2013-01-03 16:30:00.000 1
10 5 2013-01-03 18:00:00.000 2
This is what I would do, if I understand you question correctly:
SELECT
EmpId,
CheckTime,
CheckType,
ROW_NUMBER() OVER(PARTITION BY EmpId, DATEADD(dd,DATEDIFF(dd,0,cin.CheckTime),0), CheckType ORDER BY CheckTime) AS Seq
INTO
#PreparedTable
FROM
SourceTable
SELECT
cin.EmpId,
DATEADD(dd,DATEDIFF(dd,0,cin.CheckTime),0) AS CheckDate,
(SUM(DATEDIFF(ss,cin.CheckTime,cout.CheckTime)) / 3600.0) AS HoursWorked
FROM
#PreparedTable cin
JOIN
#PreparedTable cout
ON (cin.EmpId = cout.EmpID)
AND (DATEDIFF(dd,cin.CheckTime,cout.CheckTime) = 0)
AND (cin.Seq = cout.Seq)
AND (cin.CheckType = 1)
AND (cout.CheckType = 2)