I have a view with columns [Date], [ProductId], [NewProduct]. Where [Date] is always [yyyy-mm-01], so for a given month, [NewProduct] can either be 1 or 0 for any productId.
I am trying to create another view based on this one but I want to implement one change. If a product has been marked as [NewProduct] for a given month then it should be marked as a [NewProduct] for the remaining months of that year.
Example This is my original view: ProductView1
As you can see product: 261220 is marked as new product for 2018-05-01.
What I want is I want to create another view derived from this view which should have product: 261220 marked as new product for the rest of the 2018.
I am trying to write a query like this:
CREATE View [dbo].[ProductView2]
As
SELECT [ProductView1].[Date]
,[ProductView1].[ProductId]
,Case WHEN ([ProductView1Prev].[New Product] = 1 AND Month([ProductView1Prev].[Date]) <> 12)
THEN 1
ELSE [ProductView1].[New Product]
END AS [New Product]
FROM [dbo].[ProductView1]
left join
[ProductView1] as [ProductView1Prev]
ON [ProductView1].CustomerId = [ProductView1Prev].CustomerId
and [ProductView1].[Date] = dateadd(month,+1,[ProductView1Prev].[Date])
But the new view Mark product: 261220 as a new product for the next month rather than all the remaining months for that year.
ProductView2 looks like this based on my query:
I am not sure how to achieve the desired output.
try using a "trigger after update" with checking conditions (month bigger than this month by where clause) and check if this column updated then update other columns as well.
Related
I want to calculate customer retention week over week. My sales_orders table has columns order_date, and customer_name. Basically I want to check if a customer in this week also had an order the previous week. To do this, I have used CASE WHEN and subquery as follows (I have extracted order_week in a cte I've called weekly_customers and gotten distinct customer names within each week):
SELECT wc.order_week,
wc.customer,
CASE
WHEN wc.customer IN (
SELECT sq.customer
FROM weekly_customers sq
WHERE sq.order_week = (wc.order_week - 1))
THEN 'YES'
ELSE 'NO'
END AS present_in_previous_week
from weekly_customers wc
The query returns the correct data. My issue, the table is really huge with about 15000 distinct weekly values. This obviously leads to very long execution time. Is there a way I can improve this loop or even an alternative to the loop altogether?
Something like this:
SELECT
wc.order_week,
wc.customer,
CASE WHEN wcb.customer IS NOT NULL THEN "YES" ELSE "NO" END AS present_in_previous_week
FROM weekly_customers AS wca
LEFT JOIN
weekly_customers AS wcb
ON
wca.customer = wcb.customer
AND wca.order_week - 1 = wcb.order_week
This joins all of the customer data onto the customer data from a week ago. If there is a record for a week ago then wcb.customer will not be null, and we can set the flag to "YES". Otherwise, we set the flag to "NO".
Links to the tables in the screenshot can be found at the link below:
https://www.dropbox.com/l/scl/AAAX85i7QE4zr1S-zr-_Lo00VUnIkE02XWo
First Issue:
Normally this table (See Load Tracking Table) would have a Field in Check Call Name that is "Pickup - Actual" signalling that this has been picked up. However in certain circumstances the CheckCallName will bypass the pickup and move to Delivered status. In cases like this I want to pull the query to treat the "Delivered" status in the same manner that Pickup Actual was being used.
Said another way, where kpo.loadtracking does not have Pickup - Actual in the Check Call Name field for any one order, I want to pull the Check Call Name for Delivered and the KeypointStatusDate.
Second Issue:
The DISTINCT clause does not work perfectly in my case, as an order can have the Pickup - Actual status updated multiple times. Here, we should take the oldest Keypoint Status Date. I've tried to use the MIN(KeypointStatusDate) and grouping by Order ID but I'm getting the following message
Msg 8120, Level 16, State 1, Line 14
Column 'KPO.LOAD.LoadId' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.
The code I have currently is below. I'm new to SQL (about a week in) so apologies if this is simple.
SELECT
Distinct LOAD.LoadNumber
,LOAD.LoadId
,CustomerName
,OrderStatus
,CheckCallName
,PickedUpOn
,LoadTracking.KeypointStatusDate
,LOAD.OriginEarliest
,LOAD.DestinationEarliest
,CustomerRate
,CarrierCost
,Miles
FROM KPO.LOAD
Inner JOIN kpo.LoadExtension ON LOAD.LoadId = LoadExtension.LoadId
Inner JOIN kpo.Customer ON customer.CustomerId = LOAD.CustomerID
Inner JOIN kpo.LoadTracking ON LoadTracking.LoadId = LOAD.LoadId
WHERE
DATEDIFF(MONTH, GETDATE(), LoadTracking.KeypointStatusDate) = - 2
AND OrderStatus <> 'VOID'
AND CheckCallName = 'Pickup - Actual'
ORDER BY CustomerName, LoadNumber, LoadTracking.KeypointStatusDate
Load Tracking Table with Question Inside:
Data Result from Query:
I have an SSRS report with the following query:
SELECT DISTINCT
Rtrim(ltrim(CUSTNAME)) as 'CUSTNAME',
ItemName,
ISNULL(NAME, LOGCREATEDBY) AS 'Modified By'
,b.ITEMID as 'Item Id'
,[PRICE_NEW] as 'New Price'
,[PRICE_OLD] as 'Old Price'
,[PRICEUNIT_NEW] as 'New Unit Price'
,[PRICEUNIT_OLD] as 'Old Unit Price'
,LOGCREATEDDATE as 'Created Date'
,LOGCREATEDTIME
,(select Description from Dimensions where a.Dimension2_ = Dimensions.Num) as 'Division'
,(Select TOP 1 INVENTTRANS.DATEFINANCIAL From INVENTTRANS Where
INVENTTRANS.ITEMID = B.ITEMID and InvoiceID like 'Inv%' order by INVENTTRANS.DATEFINANCIAL desc) As 'LastInvoice'
FROM PMF_INVENTTABLEMODULELOG AS b
LEFT JOIN USERINFO ON ID = LOGCREATEDBY
LEFT JOIN INVENTTABLE AS a on a.ITEMID in (b.itemId)
WHERE LOGCREATEDDATE between #beginCreatedDate and #endCreatedDate
and a.dimension2_ in (#dimension)
order by LOGCREATEDDATE,LOGCREATEDTIME desc
What happens, in short, is it goes through a table and picks out an item number and lists each price change for that item.
the query, wen run, will return something like:
CUSTNAME | Modified By | Item ID | New Price | Old Price
------------------------------------------------------------------
Performance Joe 12345 21.50 21.49
Performance Mary 12345 21.49 19.10
(This happens to be the return that is causing problem)
My report lists each line by division, Customer name and item Number. The problem is, when I have an Item ID group, it adds up the total (makes sense) So i get rid of the item number group, but now it will list only one item per customer!
it should show the two lines for Performance in the example, but instead, it lists neither. I would like it to show every single line for each customer. It must be the ITEM ID group, but I can't seem to get it right.
Rather than getting rid of the group, change it to show detail data.
Right click on the group select 'Group Properties' and select the Group On expression. Then click the delete button. It will then no longer sum as it is a detail group.
I would recommend that you then remove sum from the relevant expressions, to avoid confusion, as they will only be summing single values but will make it look otherwise.
I want to create a graph that pulls data from 2 user questions generated from within an SQL database.
The issue is that the user questions are stored in the same table, as are the answers. The only connection is that the question string includes a year value, which I extract using the LEFT command so that I output a column called 'YEAR' with a list of integer values running from 2013 to 2038 (25 year period).
I then want to pull the corresponding answers ('forecast' and 'actual') from each 'YEAR' so that I can plot a graph with a couple of values from each year (sorry if this isn't making any sense). The graph should show a forecast line covering the 25 year period with a second line (or column) showing the actual value as it gets populated over the years. I'll then be able to visualise if our actual value is close to our original forecast figures (long term goal!)
CODE BELOW
SELECT CAST((LEFT(F_TASK_ANS.TA_ANS_QUESTION,4)) AS INTEGER) AS YEAR,
-- first select takes left 4 characters of question and outputs value as string then coverts value to whole number.
CAST((CASE WHEN F_TASK_ANS.TA_ANS_QUESTION LIKE '%forecast' THEN F_TASK_ANS.TA_ANS_ANSWER END) AS NUMERIC(9,2)) AS 'FORECAST',
CAST((CASE WHEN F_TASK_ANS.TA_ANS_QUESTION LIKE '%actual' THEN ISNULL(F_TASK_ANS.TA_ANS_ANSWER,0) END) AS NUMERIC(9,2)) AS 'ACTUAL'
-- actual value will be null until filled in each year therefore ISNULL added to replace null with 0.00.
FROM F_TASK_ANS INNER JOIN F_TASKS ON F_TASK_ANS.TA_ANS_FKEY_TA_SEQ = F_TASKS.TA_SEQ
WHERE TA_ANS_ANSWER <> ''
AND (TA_TASK_ID LIKE '%6051' OR TA_TASK_ID LIKE '%6052')
-- The two numbers above refer to separate PPM questions that the user enters a value into
I tried GROUP BY 'YEAR' but I get an
Error: Each GROUP BY expression must contain at least one column that
is not an outer reference - which I assume is because I haven't linked
the 2 tables in any way...
Should I be adding a UNION so the tables are joined?
What I want to see is something like the following output (which I'll graph up later)
YEAR FORECAST ACTUAL
2013 135000 127331
2014 143000 145102
2015 149000 0
2016 158000 0
2017 161000 0
2018... etc
Any help or guidance would be hugely appreciated.
Thanks
Although the syntax is pretty hairy, this seems like a fairly simple query. You are in fact linking your two tables (with the JOIN statement) and you don't need a UNION.
Try something like this (using a common table expression, or CTE, to make the grouping clearer, and changing the syntax for slightly greater clarity):
WITH data
AS (
SELECT YEAR = CAST((LEFT(A.TA_ANS_QUESTION,4)) AS INTEGER)
, FORECAST = CASE WHEN A.TA_ANS_QUESTION LIKE '%forecast'
THEN CONVERT(NUMERIC(9,2), A.TA_ANS_ANSWER)
ELSE CONVERT(NUMERIC(9,2), 0)
END
, ACTUAL = CASE WHEN A.TA_ANS_QUESTION LIKE '%actual'
THEN CONVERT(NUMERIC(9,2), ISNULL(A.TA_ANS_ANSWER,0) )
ELSE CONVERT(NUMERIC(9,2), 0)
END
FROM F_TASK_ANS A
INNER JOIN F_TASKS T
ON A.TA_ANS_FKEY_TA_SEQ = T.TA_SEQ
-- It sounded like you wanted to include the ones where the answer was null. If
-- that's wrong, get rid of the test for NULL.
WHERE (A.TA_ANS_ANSWER <> '' OR A.TA_ANS_ANSWER IS NULL)
AND (TA_TASK_ID LIKE '%6051' OR TA_TASK_ID LIKE '%6052')
)
SELECT YEAR
, FORECAST = SUM(data.Forecast)
, ACTUAL = SUM(data.Actual)
FROM data
GROUP BY YEAR
ORDER BY YEAR
Try something like this ...
SELECT CAST((LEFT(F_TASK_ANS.TA_ANS_QUESTION,4)) AS INT) AS [YEAR]
,SUM(CAST((CASE WHEN F_TASK_ANS.TA_ANS_QUESTION LIKE '%forecast'
THEN F_TASK_ANS.TA_ANS_ANSWER ELSE 0 END) AS NUMERIC(9,2))) AS [FORECAST]
,SUM(CAST((CASE WHEN F_TASK_ANS.TA_ANS_QUESTION LIKE '%actual'
THEN F_TASK_ANS.TA_ANS_ANSWER ELSE 0 END) AS NUMERIC(9,2))) AS [ACTUAL]
FROM F_TASK_ANS INNER JOIN F_TASKS
ON F_TASK_ANS.TA_ANS_FKEY_TA_SEQ = F_TASKS.TA_SEQ
WHERE TA_ANS_ANSWER <> ''
AND (TA_TASK_ID LIKE '%6051' OR TA_TASK_ID LIKE '%6052')
GROUP BY CAST((LEFT(F_TASK_ANS.TA_ANS_QUESTION,4)) AS INT)
HI ALL
I wish to update a row within my table from a row within that same table,
I have a table called INVENTORY. it stores PRICES for products.
I have SALES codes and I have STOCK codes which are related.
I wish to transfer all the PRICING from the SALES codes to the STOCK codes.
I wish to do something like this:
update INVENTORY
set PRICE = (SELECT PRICE WHERE CODE = "SALES CODE EQUIVALENT OF THE STOCK CODE IM IN")
WHERE
CODE = "SOME STOCK CODE"
a SALES CODE would look like this "U_12345", its STOCK code equivalent would look like "S_12345"
thanks
You're very close, you just need to specify which table you're selecting from as part of your sub-query...
update INVENTORY
set PRICE = (SELECT PRICE FROM your_table WHERE CODE = "SALES CODE EQUIVALENT OF THE STOCK CODE IM IN")
WHERE
CODE = "SOME STOCK CODE"
Even if "your_table" is INVENTORY, you still need to specify it in there.
The only time it gets 'tricky' is when your selecting from the same table that you're update, AND when you need a value from the updated record in the SELECT statement. In that case you need to differentiate between the two references, using an alias. For example...
update INVENTORY
set PRICE = (SELECT PRICE FROM INVENTORY AS [new_price] WHERE [new_price].CODE = INVENTORY.NEW_CODE)
WHERE
CODE = "SOME STOCK CODE"
UPDATE INVENTORY
SET PRICE = i_sales.PRICE
FROM INVENTORY, INVENTORY i_sales
WHERE INVENTORY.CODE LIKE 'S\_%'
AND i_sales.CODE = REPLACE(INVENTORY.Code, 'S', 'U')
This updates prices for all 'stock' records in INVENTORY with prices from the corresponding 'sales' records.
If you would prefer to update individual prices, change WHERE to something like this:
WHERE i_stock.CODE = 'S_12345'
or this:
WHERE i_stock.CODE IN ('S_12345', 'S_12346')
Note: The FROM syntax used is based on this doc page.