I could use some help building a query that will be used for KPI's. This the current setup and what I'm trying to achieve, FYI I am beginner at SQL but I need to pull total number of hours for specific EVT_PPM by given year. This is being done on the front end and I have not been able to get an inner join to work. Any help or guidance would be greatly appreciated.
Table R5EVENTS:
EVT_TARGET EVT_CODE EVT_PPM EVT_STATUS EVT_CLASS
3/1/2019 1 PM-01 C CM
4/1/2019 2 PM-02 CANC PC
5/1/2019 3 PM-03 R CM
Table R5BOOKEDHOURS:
BOO_EVENT BOO_HOURS
1 2
2 5
3 1
My query
SELECT COUNT (1) boo_hours
FROM R5EVENTS, R5BOOKEDHOURS
WHERE (EVT_TARGET >= to_date('1/1/2019' ,'MM/DD/YYYY')
AND
EVT_TARGET <= to_date('12/31/2020' ,'MM/DD/YYYY') )
AND
(EVT_PPM IN ('PM-01','PM-02','PM-03','PM-04','PM-05','PM-06','PM-06','ST-01','ST-02') )
AND EVT_STATUS != 'CANC'
AND EVT_CLASS LIKE 'CM'
The output I get is 0 results!
Related
I'm quite the beginner so I suppose some of you would have an easy time on my task but I need some help:
I have 3 DBs. dbo_A_Personal, dbo_Z_Ferien and dbo_Z_ERFASSUNG
A_Pers has a Pers_ID (LPE_ID) that I can use to join Z_Ferien and Z_ERFASSUNG on.
In Z_Ferien I have 4 rows with that pers_ID and in Z_ERFASSUNG 96.
What I need is a result that has columns that are basically like that:
PersID
Erf
Fer
1224
5
0
1234
4
0
1234
6
0
1234
0
6
so far I have this:
SELECT dbo_A_PERSONAL.LPE_ID, dbo_Z_Ferien.ZFE_TAGE, dbo_Z_ERFASSUNG.ZER_Std100
FROM dbo_A_PERSONAL
INNER JOIN dbo_Z_Ferien ON dbo_A_PERSONAL.LPE_ID = dbo_Z_Ferien.ZFE_LPE_ID
INNER JOIN dbo_Z_ERFASSUNG ON dbo_A_PERSONAL.LPE_ID = dbo_Z_ERFASSUNG.ZER_LPE
WHERE dbo_A_PERSONAL.LPE_ID=804 AND dbo_Z_ERFASSUNG.ZER_EIGENSCH = 3;
I need that so I can sum up the value I need from Z_ERFASSUNG and Z_Ferien but I don't know how to make it so each value is only "printed" once.
I hope I explained it well enough so you guys can help me out.
If I understand correctly an aggerate function is what you need here.
I added a sum function of both dbo_Z_Ferien & dbo_Z_ERFASSUNG, as well as adding a group by statement for LPE_ID. Which tells SQL to partition the sum only on LPE_ID
SELECT dbo_A_PERSONAL.LPE_ID, sum(dbo_Z_Ferien.ZFE_TAGE), sum(dbo_Z_ERFASSUNG.ZER_Std100)
FROM dbo_A_PERSONAL
INNER JOIN dbo_Z_Ferien ON dbo_A_PERSONAL.LPE_ID = dbo_Z_Ferien.ZFE_LPE_ID
INNER JOIN dbo_Z_ERFASSUNG ON dbo_A_PERSONAL.LPE_ID = dbo_Z_ERFASSUNG.ZER_LPE
WHERE dbo_A_PERSONAL.LPE_ID=804 AND dbo_Z_ERFASSUNG.ZER_EIGENSCH = 3
GROUP BY dbo_A_PERSONAL
I have a query, let's call it qry_01, that produces a set of data similar to this:
ID N CN Sum
1 4 0 0
2 3 3 3
5 4 4 7
8 3 3 10
The values shown in this query actually come from a chain of queries and from a bunch of different tables.
The corrected value CN is calculated within the query, and counts N if the ID is not 1, and 0 if it is 1.
The Sum is the value I want to calculate by progressively summing up the CN values.
I tried to use DSUM, but I came out with nothing.
Can anyone please help me?
You could use a correlated subquery in the following way:
select t.id, t.n, t.cn, (select sum(u.cn) from qry_01 u where u.id <= t.id) as [sum]
from qry_01 t
I've been tasked with coming up with a solution for a problem that was found this morning. I have a query that I need to do some math with. I have three pertinent columns.
SELECT lQ.[QUANTITY], lQ.[FORM_FACTOR_ID], oQ.[INDIVIDUAL_PACKAGING]
FROM [dbo].[AOF_ORDER_LINE_QUEUE] as lQ
LEFT JOIN [dbo].[AOF_ORDER_QUEUE] AS oQ
ON lQ.[SALES_ORDER_NUMBER] = oQ.[SALES_ORDER_NUMBER]
I can see myself doing this in a loop easily in languages I know best. It doesn't seem that looping is a good thing to do in SQL based on some preliminary research so I am reaching out for suggestions.
I need to output a total value which is a conditional sum of lQ.[QUANTITY]. The condition is if oQ.[FORM_FACTOR_ID] is equal to 1 then the output for that particular row is equal to the value of lQ.[QUANTITY]. If oQ.[FORM_FACTOR_ID] is equal to 2 then if oQ.[INDIVIDUAL_PACKAGING] is true, then the output of that particular row in the query is equal to lQ.[QUANTITY]. If the value is false, then the output of that particular row in the query is divided by 2. The final output needs to be a single integer.
QUANTITY FORM_FACTOR_ID INDIVIDUAL_PACKAGING
4 2 1
5 1 1
I would need a query that outputs the value 7 for the above table.
QUANTITY FORM_FACTOR_ID INDIVIDUAL_PACKAGING
4 2 0
5 2 0
That same query needs to output 5 for the above table.
What would be the best way to go about doing this?
If I understand the question correctly, you just want conditional aggregation -- a CASE as an argument to SUM().
If I follow the logic, it would look like:
SELECT SUM(CASE WHEN oq.FORM_FACTOR_ID = 1 THEN lQ.QUANTITY
WHEN oQ.FORM_FACTOR_ID = 2 AND oQ.INDIVIDUAL_PACKAGING = 1 THEN lQ.QUANTITY
WHEN oQ.FORM_FACTOR_ID = 2 AND oQ.INDIVIDUAL_PACKAGING = 0 THEN lQ.QUANTITY / 2
END)
FROM [dbo].[AOF_ORDER_LINE_QUEUE] lQ LEFT JOIN
[dbo].[AOF_ORDER_QUEUE] oQ
ON lQ.[SALES_ORDER_NUMBER] = oQ.[SALES_ORDER_NUMBER];
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
**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.