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
Related
Date Amt ytd mtd
01-Jan-21 1 2 2
01-Jan-21 1 2 2
02-Jan-21 1 3 3
03-Jan-21 1 4 4
01-Feb-21 1 5 1
02-Feb-21 1 6 2
03-Feb-21 1 7 3
04-Feb-21 1 8 4
05-Feb-21 1 9 5
01-Mar-21 1 10 1
02-Mar-21 1 11 2
03-Mar-21 1 12 3
04-Mar-21 1 13 4
01-Apr-21 1 14 1
02-Apr-21 1 15 2
03-Apr-21 1 16 3
01-May-21 1 17 1
02-May-21 1 18 2
03-May-21 1 19 3
04-May-21 1 20 4
05-May-21 1 21 5
06-May-21 1 22 6
I have the first two columns (Date, Amt) and i need the YTD and MTD columns in MS SQL so that i can show the above table.
Seems like a rolling COUNT OVER was used to calculate the ytd & mtd in the Oracle source.
(Personally, I would prefere RANK or DENSE_RANK)
And since Oracle datestamps can be casted to a DATE as-is.
SELECT [Date], Amt
, ytd = COUNT(*) OVER (ORDER BY CAST([Date] AS DATE))
, mtd = COUNT(*) OVER (PARTITION BY EOMONTH(CAST([Date] AS DATE)) ORDER BY CAST([Date] AS DATE))
FROM your_table
ORDER BY CAST([Date] AS DATE)
Date
Amt
ytd
mtd
01-Jan-21
1
2
2
01-Jan-21
1
2
2
02-Jan-21
1
3
3
03-Jan-21
1
4
4
01-Feb-21
1
5
1
02-Feb-21
1
6
2
03-Feb-21
1
7
3
04-Feb-21
1
8
4
05-Feb-21
1
9
5
db<>fiddle here
I want to create a select query in SQL Server where I group the rows by a column (BaseId) and also order them by Status, RTime and Version. I want to add a column "isFirst" that has the value 1 if the BaseId value is the first in the group, and 0 if it's not.
My sample table:
Table name: Head
Id BaseId Name RTime Status Version
2 2 abc 04-12 12:34 1 1
3 3 xyz 04-12 13:10 9 1
4 2 abc 04-13 14:25 0 2
5 3 xyz 04-14 12:34 0 2
6 3 xyz 04-14 13:10 9 3
7 3 xyz 04-16 14:25 1 4
8 2 abc 04-16 17:40 1 3
9 9 sql 04-17 02:23 9 1
10 9 sql 04-17 07:31 0 2
Expected result:
isFirst Id BaseId Name RTime Status Version
1 10 9 sql 04-17 07:31 0 2
0 9 9 sql 04-17 02:23 9 1
1 5 3 xyz 04-14 12:34 0 2
0 7 3 xyz 04-16 14:25 1 4
0 6 3 xyz 04-14 13:10 9 3
0 3 3 xyz 04-12 13:10 9 1
1 4 2 abc 04-13 14:25 0 2
0 8 2 abc 04-16 17:40 1 3
0 2 2 abc 04-12 12:34 1 1
My query now looks like this:
SELECT *
FROM Head
ORDER BY BaseId desc, Status, RTime desc, Version desc
I think I should use CASE to create the isFirst column, but I've had no luck so far. Anyone could help me?
You can use row_number() and a case expression:
select
case when row_number() over(
partition by BaseId
order by Status, RTime desc, Version desc
) = 1
then 1
else 0
end isFirst,
h.*
from head h
order by BaseId desc, Status, RTime desc, Version desc
I have a table with 1 result per day like this :
id | item_id | date | amount
-------------------------------------
1 1 2019-01-01 1
2 1 2019-01-02 2
3 1 2019-01-03 3
4 1 2019-01-04 4
5 1 2019-01-05 5
6 2 2019-01-01 1
7 2 2019-01-01 2
8 2 2019-01-01 3
9 2 2019-01-01 4
10 2 2019-01-01 5
11 3 2019-01-01 1
12 3 2019-01-01 2
13 3 2019-01-01 3
14 3 2019-01-01 4
15 3 2019-01-01 5
First I was trying to average the column amount for each day.
SELECT
x.item_id AS id,avg(x.amount) AS result
FROM
(SELECT
il.item_id, il.amount,
ROW_NUMBER() OVER (PARTITION BY il.item_id ORDER BY il.date DESC) rn
FROM
item_prices il) x
WHERE
x.rn BETWEEN 1 AND 50
GROUP BY
x.item_id
The result is going to be the following if calculated on 2019-01-05
item_id | average
1 3
2 3
3 3
or, if calculated 2019-01-04
item_id | average
1 2.5
2 2.5
3 2.5
My goal is to run the Average query , every day that would update the average automatically and insert it in 5th column "average" :
id | item_id | date | amount | average
5 1 2019-01-05 5 3
10 2 2019-01-05 5 3
15 3 2019-01-05 5 3
Issue is that every example i can find with Insert the Select they only update one row and they are over another table there is also the most recent date issue...
Can someone point me in the right direction?
Perhaps you want to see running average every day. Storing the value as a separate column is bound to cause problems especially when the rows are updated/deleted, the column also needs to be updated and hence will require complex triggers.
Simply create a View and run whenever you want to check the average directly from that View.
CREATE OR REPLACE VIEW v_item_prices AS
SELECT t.*,avg(t.amount) OVER ( PARTITION BY item_id order by date)
AS average FROM item_prices t
order by item_id,date
DEMO
I am writing a SQL script that is to insert a new record using data from two rows that are under the same AccountID.
My table looks like the following:
AccountID | ActivityId | DisplayDetails | TransactionDate | EnvironmentId
============================================================================
1 7 Display1 2015-02-02 00:00:00.000 1
1 8 DisplayThis1 2018-02-02 00:00:00.000 1
1 7 Display2 1999-02-02 00:00:00.000 2
1 8 DisplayThis2 2000-02-02 00:00:00.000 2
My fix is to find find each 7,8 combination and insert a new row with ActivityId 78 that gets the DisplayDetails from ActivityId 7 and TransactionDate from ActivityId 8.
My queries looks like the following:
SELECT *
INTO #ActivityEight
FROM Account A
WHERE A.ActivityId = 8
INSERT INTO #Account (AccountId, ActivityId, DisplayDetails, TransactionDate)
SELECT VL.AccountId, 78, S.DisplayDetails, VL.TransactionDate
FROM #temp2 VL WITH(NOLOCK)
JOIN #ActivityEight S
ON VL.AccountId = S.AccountId
WHERE VL.ActivityId = 7
However when I run SELECT * FROM Account I get a 78 row for each 7 and 8 row, when I should only get 1 78 row per 7 and 8 combination.
AccountID | ActivityId | DisplayDetails | TransactionDate | EnvironmentId
=============================================================================
1 7 Display1 2015-02-02 00:00:00.000 1
1 8 DisplayThis1 2018-02-02 00:00:00.000 1
1 7 Display2 1999-02-02 00:00:00.000 2
1 8 DisplayThis2 2000-02-02 00:00:00.000 2
1 78 DisplayThis1 2015-02-02 00:00:00.000 NULL
1 78 DisplayThis2 2015-02-02 00:00:00.000 NULL
1 78 DisplayThis1 1999-02-02 00:00:00.000 NULL
1 78 DisplayThis2 1999-02-02 00:00:00.000 NULL
I believe I can utilize the EnvironmentId to achieve the desired functionality, but I'm not sure how.
Any help would be appreciated.
Thanks!
I think this will help you
INSERT INTO #Account (AccountId, ActivityId, DisplayDetails, TransactionDate)
SELECT VL.AccountId, 78, S.DisplayDetails, VL.TransactionDate
FROM Account VL WITH(NOLOCK)
JOIN Account S ON VL.AccountId = S.AccountId and VL.EnvironmentId = S.EnvironmentId
WHERE VL.ActivityId = 7 and S.ActivityId = 8
I have a table which includes a column of each month (Jan-13, Feb-13, Mar-13, etc) for a period of four years. I need to find the first column in each row that has a value other than "0" (zero). Then I will need to find the last column with a value other than zero.
The query will let me know the start month and the end month of a resource. I have written an Excel formula but now I need to convert the same functionality to Access. When I find each of the columns I need to retrieve the column heading. Could anyone help me with the SQL for my query?
The report based on the query would be
ResourceName, StartDate EndDate
Bob Sample Apr-13 Apr-15
There are actual two tables involved. The Resource table with all the information for the individuals and a forecast table which has the months as columns and the resource id and task for rows. For each month an individual is forecast to work a given percent of their time. We are not concerned about the actual dates (11/20/201) the individual starts, just the month. So a resource for task 1 is forecast to work .5 percent of their time in Nov-13, which would be the first month that the resource work. Then that resource may be forecast to work at the same level for the next nine months. So the column for Aug-14 would be the last month with the .5 value. After that all columns contains zeros.
(I will limit my example to six months because I'm lazy.)
So we have some "wide" data in a table named [Forecast]:
ResourceID Jul-13 Aug-13 Sep-13 Oct-13 Nov-13 Dec-13
---------- ------ ------ ------ ------ ------ ------
1 0 0.5 1 0.5 0 0
2 0 0 2 0 0 0
3 0 0 3 4 0 0
Start by creating a saved query in Access named [ForecastUnpivoted] to convert the "short wide" data into "long skinny" data:
SELECT ResourceID, "2013-07" AS forecastMonth, [Jul-13] AS forecastValue
FROM Forecast
UNION ALL
SELECT ResourceID, "2013-08" AS forecastMonth, [Aug-13] AS forecastValue
FROM Forecast
UNION ALL
SELECT ResourceID, "2013-09" AS forecastMonth, [Sep-13] AS forecastValue
FROM Forecast
UNION ALL
SELECT ResourceID, "2013-10" AS forecastMonth, [Oct-13] AS forecastValue
FROM Forecast
UNION ALL
SELECT ResourceID, "2013-11" AS forecastMonth, [Nov-13] AS forecastValue
FROM Forecast
UNION ALL
SELECT ResourceID, "2013-12" AS forecastMonth, [Dec-13] AS forecastValue
FROM Forecast
which returns
ResourceID forecastMonth forecastValue
---------- ------------- -------------
1 2013-07 0
2 2013-07 0
3 2013-07 0
1 2013-08 0.5
2 2013-08 0
3 2013-08 0
1 2013-09 1
2 2013-09 2
3 2013-09 3
1 2013-10 0.5
2 2013-10 0
3 2013-10 4
1 2013-11 0
2 2013-11 0
3 2013-11 0
1 2013-12 0
2 2013-12 0
3 2013-12 0
Now we can use Min() and Max() to give us the start end end dates for each resource
SELECT
ResourceID,
Min(forecastMonth) AS StartMonth,
Max(forecastMonth) AS EndMonth
FROM ForecastUnpivoted
WHERE forecastValue <> 0
GROUP BY ResourceID
That gives us
ResourceID StartMonth EndMonth
---------- ---------- --------
1 2013-08 2013-10
2 2013-09 2013-09
3 2013-09 2013-10
In a relational database, you would not store your data like this. Instead, you would have 2 tables:
Your resources
The months in which a resource does work (for a task)
Example:
Table 1 resources:
ID | Resource_Name
1 | Mr. A
2 | Mrs. B
Table 2 Forecast:
FC_ID | FC_Month | FC_Resource_ID | FC_Task | FC_Percentage
1 | 2013-10-01 | 1 | actiontask! | 0.05
2 | 2013-11-01 | 1 | actiontask! | 0.10
3 | 2013-12-01 | 1 | actiontask! | 0.05
4 | 2013-07-01 | 2 | boring task | 0.3
5 | 2013-08-01 | 2 | boring task | 0.25
6 | 2013-09-01 | 2 | boring task | 0.3
7 | 2013-10-01 | 2 | boring task | 0.1
You can then request the start and end date using SQL:
SELECT Resource_Name, Min(FC_Month) AS colMin, Max(FC_Month) As colMax
FROM tblForecast INNER JOIN tblResources ON FC_Resource_ID=Resource_ID
GROUP BY FC_Resource_ID, Resource_Name
The result of this example will be:
Mr. A | 2013-10-01 | 2013-12-01
Mrs. B | 2013-07-01 | 2013-10-01