I am not sure this is even feasible in SQL, but if anyone has any ideas let me know. I have a a bunch of values for stock due in, but the same item could have multiple dates due in. I then have a list of dates stock is due out in and amount in a different table. I want to look up how much stock can go out on each sales line.
The tricky portion for me is that it could source from two incoming lines. If there was only ever 1 incoming line, it would be easy. Just use a sub query on each line. However the fact that each sales line could pull from multiple lines in another table makes it much more complicated. Does anyone have any ideas on how best to do this in SQL. Would be easy for me outside of this, but there is a lot of data so for performance want to keep it in SQL.
Example data below:
Related
Sometimes I have to insert so many random codes into the database for discounts, campaigns, etc. To do this I created an excel sheet to generate SQL codes. But this is taking too much time.
For example, the query down below is just for inserting one code. I want to generate many different queries (sometimes thousands) by just changing the code field.
I could not find a good tool for that yet and would appreciate any help.
INSERT INTO COUPON (ID,TENANTID,CODE,COUPONDESCRIPTION,EFFECTIVEDATE,EFFECTIVEDAYCOUNT,OPERATIONAMOUNT,OPERATIONAMOUNTCURRENCYID,ACCOUNTINGAMOUNT,ACCOUNTINGAMOUNTCURRENCYID,EFECTIVEOPERATIONAMOUNT,EFECTIVEOPERATIONAMOUNTCURRENCYID,EFECTIVEACCOUNTINGAMOUNT,EFECTIVEACCOUNTINGAMOUNTCURRENCYID,RATIO,USAGECOUNTBYCUSTOMER,USAGECOUNTBYCOUPON,BULKCOUPON,BULKCOUPONCOUNT,COUPONTYPE,VOUCHERINDEPENDENTCOUPON,STATUS,EXPIRATIONDATE,COUPONCODEGENERATORTYPEID,PRINTCOUNT,LEGACYGIFTCHECKID,LEGACYADVANTAGECODEID,MIGRATIONCOMPLETED,CONTEXTID,CONTEXTMODULEID)
select NEXT VALUE FOR SEQ_COUPONID,4,'**CODE**','DESCRIPTION','2021-12-17 00:00:00.000',365,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'0.00000000',0,1,0,0,0,1,0,'2022-03-15 23:59:00.000',0,0,NULL,NULL,NULL,1,8
I have a large sample of medical data I need to try and analyze patterns in Excel worksheet.
I also put them up in a database in MS ACCESS to do my first filters and stuff.
I have the infos of patients, with tests results(POS or NEG), dates of the sample.
I need to be able to check for each patients when the results change from POS to NEG and from NEG to POS
and compare the dates of those two samples.
So far I was doing it manually which isn't viable for my sample.
I was trying to do something in SQL, but that didn't work out for me.
I also am trying to do some VBA or Excel formulas but I admit I'm getting kind of stumped.
I know I should do some for each cell loop or something but I really am lost.
I already grouped each patients info together using sub-totals and stuff.
Your help or at least pointers would be greatly appreciated :D
Here's an example of my data.
enter image description here
Use a formula like this, that in case the name is the same as the row before and the POS/NEG is different from the row before gives you the number of days in between, blank otherwise:
Of course it will give you an error if you try to use it on the 1st line, just enter it in the 2nd line and copy/paste in all the rest.
This should give you the basis for the rest of your analysis.
I need some help and I know I am not the only one to deal with this issue but I am wondering if you might have some ideas on how to handle the situation of comparing two rows of data filling out start and end dates.
To give you some context, we have a huge hierarchy (approx 8,000 rows and about 12 columns wide) that is updated each year. Sometimes the values change and sometimes they don’t. When the values don’t change, then I don’t need to adjust the dates. When the values do change and a new row is added, I need to change the data.
I have attached some fake data to try and illustrate my data. I am building this in MS Access, so I think this is more of a DBA type question that is going to be manipulated via a recordset type method.
In my example I have two tables – Old Table and New Table. In each table there is a routing code field that represents my join field and primary key for this table.
The Old table represents existing data - tblMain. The New Table represents the data to be appended - tblTemp.
To append the data, I have an append query set up in Access. I perform a left join between the Old and New tables, joining on every field and append the rows that are null in the Old table. That’s fine and that is not where my issue is.
What is causing me issue is how to fill out the start and end dates.
So as you can see from my tables, we are running a zoo. Let’s just say for the sake of the argument, our zoo started off pretty simple and has become more sophisticated. We now want our hierarchy to expand out and become a bit more detailed as we are now capturing the type of animal (Level 4) and the native location (Level 5).
As you can see when comparing one table to another the routing codes are the same, so the append query has to have a join on each field. When you do this, you return the Result Table which is essentially the Old and New tables stacked on top of each other. You might think about a Union query but this is going to give me duplicates and I don’t want that.
If you notice in the Result Table there is a Start and End Date. Let’s just say I get the start and end dates via message box that pops up upon the import of the data and is held in a variable. I think there are dates in my real data but still trying to verify this.
So how do I compare (pseudo code for the logic needed)?
• For each routing code:
Compare Levels 1-5
If the routing code is the same but Levels 1 -5 are not the same
fill out the end date of the old record
fill out the start date of the new record
This idea of comparing two records and filling out a data is quite prevalent in my organization but I haven’t found a way of creating the logic that consistently works so any help or suggestions would be appreciated.
Old Table
New Table
Result Table
So, I'm constantly being given data in new and different formats. I'm on a crusade to get my work to standardize data for easy use, and if I managed to convince the powers that be to standardize data, this problem becomes entirely moot. Until then, I have the following problem:
I get data in a variety of ways. Sometimes my gross sales are called total sales. Sometimes gross sales before discounts, total sales before discounts, Gross_Sales, etc. Discounts, deductions, exempt amounts, etc. form another column. So on and so forth. I'd like to be able to do the following:
1) Figure out what columns I want,
2) Turn those columns into a pivot table.
For part 1, I have two options, and I'm wondering if there's anymore: The 1st is to use Microsoft's fuzzy-matching add-in to help me match. I'd have a separate tab dedicated to fuzzy matching each column I need. The second is to just generate a long list of all the variants, and to test each one until I find a hit, assign it, and move onto testing the next one.
The second part is turning all of this into a pivot table - the resouces I have so far are https://www.thespreadsheetguru.com/blog/2014/9/27/vba-guide-excel-pivot-tables and How to Create a Pivot Table in VBA
Is there a better method? Is there another way?
Edit: Slightly better method - Grab the data columns, place them into a table, and pivot everything off of that table - it removes the need to re-create pivot tables, just need to move the data over.
Having the same problem, I use a mix of your two methods.
My data consists of a bunch of logs for rejected x-ray images, and the reject reason is a free text field. My solution was to create a table where the first column contains my desired output categories, and then each subsequent column contains a different variation of it.
For example, a row might have (column one/ouput first entry):
Positioning, POS, Positioning Error, Patient Positioning
Note that these are all fairly different from each other. Where the fuzzy matching comes in - it is used to capture all the smaller differences and mispellings around those other columns. When the fuzzy matching section decides a given reason matches a column's entry, it is then replaced with the appropriate desired output reason from column 1 of the table. In my example, a reason of 'Possitioning Err' [sic] would match to column 3 (Positioning Error) and then get converted to Positioning.
Then wash rinse repeat over the rest of your data as needed. This approach was super useful and fairly flexible in helping standardize my data. It was also computationally more expensive, but you'd only need to run the matching portion once I guess.
As for the actual mechanics of going about doing this - I use 2010, so no inbuilt functionality. I run the fuzzy matching code on a temporary worksheet until best percentage matches are found, and then overwrite the actual source data afterwards.
I need to add a field to a SSRS report. I tried modifying the dataset (query) but the results prouduced insane results, with zipcodes showing up in the name fields and names showing up in a datetime field. I suspect it is because of the groups but I don't understand how they work. The Dataset is created by 4 selects. The first 3 insert into temp tables and the fourth pulls from it. I suspect that I will have to re-write the query but it would be nice if I could use it as is with modifications. Either way I need to understand the groups.
I read
Data Region Cells, Data Region and Understanding Groups. Aside from the fact that they use terms specific to SSRS without defining them they are so undetailed I doubt many people who do not already understand SSRS can get anything out of them.
I did not write this report but I must modify it. I understand SQL well. Not so much with SSRS.
Can anyone explain how to find out what the Row Groups mean? Mine look like this:
Here is the tablix