**Schema & Dataset**
id version payment name
1 1 10 Rich
2 1 0 David
3 1 10 Marc
4 1 10 Jess
5 1 0 Steff
1 2 10 Rich
2 2 0 David
3 2 10 Marc
4 2 10 Jess
5 2 0 Steff
2 3 0 David
3 3 10 Marc
4 3 10 Jess
http://sqlfiddle.com/#!3/1c457/18 - Contains my schema and the dataset I'm working with.
Background
The data above is the final set after a stored proc has done it's processing so everything above is in one table and unfortunately I can't change it.
I need to identify in the dataset where a person has been deleted with a payment total greater than 0 in previous versions and insert a dummy row with a payment of 0. So in the above example, Rich has been deleted in version 3 with a payment total of 10 on previous versions. I need to first identify where this has happened in all instances and insert a dummy row with a 0 payment for that version. Steff has also been deleted on version 3 but she hasn't had a payment over 0 on previous versions so a dummy row is not needed for her.
Tried so far -
So I looked at pinal dave's example here and I can look back to the previous row which is great so it's a step in the right direction. I'm not sure however of how to go about achieving the above requirement. I've been toying with the idea of a case statement but I'm not certain that would be the best way to go about it. I'm really struggling with this one and would appreciate some advice on how to tackle it.
You can do this by generating all possible combinations of names and versions. Then filter out the ones you don't want according to the pay conditions:
select n.name, v.version, coalesce(de.payment, 0) as payment
from (select name, max(payment) as maxpay from dataextract group by name) n cross join
(select distinct version from dataextract) v left outer join
dataextract de
on de.name = n.name and de.version = v.version
where de.name is not null or n.maxpay > 0;
Here is a SQL Fiddle.
Related
I have a table that looks as follows:
Policy Number Benefit Code Transaction Code
1 A 2
1 B 1
2 A 3
3 A 2
1 C 2
For analysis purposes, it would be much more convenient to have the table in the following form:
PN BC 1 TC 1 BC 2 TC 2 BC 3 TC 3
1 A 2 B 1 C 2
2 A 3 NULL NULL NULL NULL
3 A 2 NULL NULL NULL NULL
I believe this can be done, for example, in R using the tidyverse package, where the concept is basically pivoting the table from long-form to wide-form. Now, I know that I could possibly use the LEAD function in SQL, but the problem/issue is that I do not know how many benefit codes and transaction codes each policy has (i.e. they are not fixed).
Thus, my query is:
How can I "pivot wider" my table to achieve something like the above?
Other than "pivoting wider", is there a more dynamic form of the LEAD function in SQL, where it takes all subsequent rows of a group (in my case, each policy number) and puts them in new columns?
Any intuitive explanations or suggestions will be greatly appreciated :)
I have a child table with a number of charact/value pairs for a given 'material' (MaterialID). Any material can have a number of charact values and may have several of the same name (see id's 2,3).
The table has a large number of records (8+ million). What I'm trying to do is find the materials that are the most similar to a supplied material. That is, when I supply a MaterialID, I would like an ordered list of the most similar other materials (those with the most matching charact/value pairs).
I've done some research but, I may be missing some key terms or just not conceptualizing the problem correctly.
Any hints as to how to go about this would be very much appreciated.
ID MaterialID Charact Value
1 1 ROT_DIR CCW
2 1 SPECIAL_FEATURE CATALOG_CP
3 1 SPECIAL_FEATURE CHROME
4 1 SCHEDULE 80
5 2 BEARING_TYPE SB
6 2 SCHEDULE 80
7 3 ROT_DIR CCW
8 3 SPECIAL_FEATURE CATALOG_HSB
9 3 BEARING_TYPE SP
10 4 NDE_STYLE W_FAN
11 4 BEARING_TYPE SB
12 4 ROT_DIR CW*
You can do this with a self join:
select t.materialid, count(*) as nummatches
from t join
t tmat
on t.Charact = tmat.Charact and t.value = tmat.value
where tmat.materialid = #MaterialId
group by t.materialid
order by nummatches desc;
Notes:
You might want to remove the specified material, by adding where t.MaterialId <> tmat.MaterialId to the where clause.
If you want all materials, then make the join a left join and move the where condition to the on clause.
If you want only one material with the most matches, use select top 1.
If you want all materials with the most matches when there are ties, use `select top (1) with ties.
I have below given query which is working fine but I want to use "Not In" operator instead of "In" but its giving no results:
SELECT DISTINCT OrderProdDetails.Priority
FROM OrderProdDetails
WHERE (((OrderProdDetails.Priority) In (SELECT DISTINCT OrderProdDetails.Priority
FROM OrderProdDetails WHERE (((OrderProdDetails.OrdID)=[Forms]![UpdateOrder]![OdrID])))));
Desired Query:
SELECT DISTINCT OrderProdDetails.Priority
FROM OrderProdDetails
WHERE (((OrderProdDetails.Priority) Not In (SELECT DISTINCT OrderProdDetails.Priority
FROM OrderProdDetails WHERE (((OrderProdDetails.OrdID)=[Forms]![UpdateOrder]![OdrID])))));
Basically it is referencing a control on parent form and based on that in a subform I want to populate the priority numbers i.e 1,2,3 and if for that record 1 is entered I want to get only 2 and 3 as drop-down option.
ReocordID OrdID Brand Name Priority
2 1 Org 1 2
3 2 Org 2 1
4 1 Org 1 1
6 1 Org 1 3
7 3 Org 3 1
8 4 Org 1 1
9 5 Org 2 1
10 5 Org 2 2
11 6 Org 1 1
12 6 Org 2 2
If there is any other better approach for the same please suggest.
Thanks in advance for your help.
In all likelihood, your problem is that Priority can take on NULL values. In that case, NOT IN doesn't work as expected (although it does work technically). The usual advice is to always use NOT EXISTS with subqueries rather than NOT IN.
But, in your case, I would suggest conditional aggregation instead:
SELECT opd.Priority
FROM OrderProdDetails as opd
GROUP BY opd.Priority
HAVING SUM(IIF(opd.OrdID = [Forms]![UpdateOrder]![OdrID], 1, 0)) = 0;
The HAVING clause counts the number of times the forms OdrId is in the orders. The = 0 means it is never there. Plus, you no longer need a select distinct.
Thanks for your prompt answers however I figured out what the problem was and the answer to problem is.
SELECT DISTINCT OrderProdDetails.Priority
FROM OrderProdDetails
WHERE (((OrderProdDetails.Priority) Not In (SELECT OrderProdDetails.Priority
FROM OrderProdDetails WHERE (((OrderProdDetails.OrdID)=[Forms]![UpdateOrder]![OdrID])
and ((OrderProdDetails.Priority) Is not null) ))));
I realized that the problem was happening only to those where there was a null value in priority so I puth the check of not null and it worked fine.
Thanks
I have a table that has 2 columns that keep home and away team id's then 2 columns that keep home and away points, I want to query the database so that it returns the total of points a specific team has earned. Here is my code and it returns a answer that is 1 less then the actual value and it does that for each team I try, why would this be?
select sum(coalesce(hpoints,apoints)) Points
from plays_a
where (tawayid='2013T1' or thomeid='2013T1')
Thank you
Will try this other query.
Edit-
Didn't seem to work it returned 5 for this data.
HPOINTS THOMEID APOINTS TAWAYID
---------- ---------- ---------- ----------
1.5 2013T5 2.5 2013T6
3 2013T4 1 2013T1
2 2013T6 2 2013T3
2 2013T2 2 2013T5
3 2013T6 1 2013T1
3 2013T2 1 2013T3
2.5 2013T4 1.5 2013T5
1 2013T3 3 2013T1
1 2013T4 3 2013T2
3 2013T6 1 2013T5
3 2013T3 1 2013T2
NEVERMIND looks like it was correct will try again with a different team and post back
I think you want this query:
select sum(CASE WHEN thomeid='2013T1' THEN hpoints ELSE apoints END) Points
from plays_a
where (tawayid='2013T1' or thomeid='2013T1')
In your original query, you're always taking the home teams points score, if it's not NULL, even if the team was the away team. That doesn't seem correct. Of course, your table might be completely bizarre and always only filling in the away columns or the home columns in any particular row, but that's not how I'd expect the data to look and doesn't seem to match your description.
Hi I'm working on a project and for time constraint reasons I need to keep working in Access which may be the root of all my problems but maybe there's hope.
I have a database that includes a table ANSWERS filled with input for users "wants" there are multiple columns which each correspond to an answer to a different question asking if they, Don't Care, Want, or Need something.
EG: Answers:
Bacon | Ham | Sausage
________________________________
1 0 0 2
2 2 1 0
3 0 2 0
4 1 1 1
(0 = Don't Care, 1 = Want, 2 = Need)
I want to compare a row from table Answers to the Available table.
EG: Available:
Bacon | Ham | Sausage
________________________________
1 0 1 0
2 0 0 0
3 1 1 1
4 1 1 0
(0 = Unavailable, 1 = Available)
So I would want to compare row 1 from Answers to Available so because row 1 includes sausage=2 then I would want to receive row 3 from Available because sausage=1.
I'd be happy receiving the entire row, or the row ID and a "1" for the rows being a match.
Ultimately I'd need to do this for all each of the rows in Answers.
Any ideas are appreciated, I was thinking using Intersect might work but since that doesn't work in access. I've also considered joining the tables, I could also change data variables or formats if necessary.
Thanks very much
Edit: Don't Care was previously Don't Want. Changed for clarity.
Give this a try:
SELECT tblAnswers.UserID, IIf([tblAnswers].[bacon]>0 And [tblMenus].[Bacon]<>0,[MenuID],Null) AS BaconMenu, IIf([tblAnswers].[Ham]>0 And [tblMenus].[Ham]<>0,[MenuID],Null) AS HamMenu, IIf([tblAnswers].[Sausage]>0 And [tblMenus].[Sausage]<>0,[MenuID],Null) AS SausageMenu
FROM tblAnswers, tblMenus
WHERE (((IIf([tblAnswers].[bacon]>0 And [tblMenus].[Bacon]<>0,[MenuID],Null)) Is Not Null)) OR (((IIf([tblAnswers].[Ham]>0 And [tblMenus].[Ham]<>0,[MenuID],Null)) Is Not Null)) OR (((IIf([tblAnswers].[Sausage]>0 And [tblMenus].[Sausage]<>0,[MenuID],Null)) Is Not Null));
Just paste that into a SQL view make Query window (After changing the table and column names to match yours) You will obviously need to tweak it as reality needs, but it does what you asked for with the data provided.