I keep running in to the same problem over and over again, hoping someone can help...
I have a large table with a category column that has 28 entries for donkey breed, then I'm counting two specific values grouped by each of those categories in subqueries like this:
WITH totaldonkeys AS (
SELECT donkeybreed,
COUNT(*) AS total
FROM donkeytable1
GROUP BY donkeybreed
)
,
sickdonkeys AS (
SELECT donkeybreed,
COUNT(*) AS totalsick
FROM donkeytable1
JOIN donkeyhealth on donkeytable1.donkeyid = donkeyhealth.donkeyid
WHERE donkeyhealth.sick IS TRUE
GROUP BY donkeybreed
)
,
It's my goal to end up with a table that has primarily the percentage of sick donkeys for each breed but I always end up struggling like hell with the problem of not being able to group by without using an aggregate function which I cannot do here:
SELECT (CAST(sickdonkeys.totalsick AS float) / totaldonkeys.total) * 100 AS percentsick,
totaldonkeys.donkeybreed
FROM totaldonkeys, sickdonkeys
GROUP BY totaldonkeys.donkeybreed
When I run this I end up with 28 results for each breed of donkey, one correct I believe but obviously hundreds of useless datapoints.
I know I'm probably being really dumb here but I keep hitting in to this same problem again and again with new donkeydata, I should obviously be structuring the whole thing a new way because you just can't do this final query without an aggregate function, I think I must be missing something significant.
You can easily count the proportion that are sick in the donkeyhealth table
SELECT d.donkeybreed,
AVG( (dh.sick)::int ) AS proportion_sick
FROM donkeytable1 d JOIN
donkeyhealth dh
ON d.donkeyid = dh.donkeyid
GROUP BY d.donkeybreed
Related
I'm trying to calculate the rating based on a table that has 3 columns with different ratings ranging from 1 to 5.
I wanted to calculate the average of these 3 values and then be able to use this as an argument in queries, for example:
Where Rating >3.5
At this moment I have this that gives me the average for all suppliers
SELECT c.Name
,(SELECT CAST(AVG(rat) AS DECIMAL(5, 2))
FROM(
VALUES(b.Qty_Price),
(b.Quality),
(b.DeliveryTime)) A (rat)) AS Rating
FROM Order a
JOIN Evaluation b ON b.ID_Evaluation = a.ID_Evaluation
JOIN Supplier c ON c.NIF_Supplier = a.NIF_Supplier
What I would like now is, for example, to filter the providers that have more than 3 ratings, but I don't know how I can do that. If anyone can help i would be grateful
If the query works like you want it, you get the average for all entries, that is.
The WHERE rating > 3.5 cannot be added, as rating does not exist in the context of the SELECT-clause, nor the tables we JOIN.
To overcome this issue, we can keep the query that you have made, call it something different using WITH and SELECT from that sub-query WHERE rating > 3.5
It should look something like this:
WITH Averages(name, rating) AS
(SELECT c.name
,(SELECT CAST(AVG(rat) AS DECIMAL(5, 2))
FROM(
VALUES(b.qty_Price),
(b.quality),
(b.deliveryTime)) AS (rat)) AS rating
FROM Order a
JOIN Evaluation b ON b.ID_Evaluation = a.ID_Evaluation
JOIN Supplier c ON c.NIF_Supplier = a.NIF_Supplier)
SELECT name, rating FROM Averages WHERE rating > 3.5;
Now, we simply call the query you provided as Averages for example, and we SELECT from that table WHERE rating > 3.5.
Also note that you can have multiple WITHs to make things easier for you, but remember that a comma (,) is needed to seperate them. In our case, we only have 1 use of WITH ... AS, so no need for a comma or semi-colon after ...= a.NIF_Supplier)
Looks like you typed only "A" before "(rat)", it should be "AS". Also, remember that attributes should be lowercase, it makes it easier for all of us to distinguish tables from attributes.
Cheers!
I have a query that I converted from Access and is currently working correctly in Teradata SQL Assistant. The data pulled is just a standard table full of all of the data I need.
What I am wondering is: Can something be added to this query that will essentially sum up all of the Exposure values and then only show the top 5 Divisions by greatest to smallest sum (of those Top 5). Also, transposing the data so that my Topics are the left most column.
Here is the working code, details omitted.
SELECT
A.AS_OF_DT
, B.DIVISION
, B.CLASS
, Sum(A.BALANCE/1000000) AS "Bal in MMs"
, Sum(A.EXPOSURE/1000000) AS "Exp in MMs"
, Sum(CASE WHEN A.STATUS = 'NACC' THEN (B.BALANCE/1000000) ELSE 0 END) AS "NPL Bal as MMs"
FROM DB.TABLE1 A LEFT JOIN DB.TABLE2 B ON A.NAICS = B.NAICS_CD
WHERE A.AS_OF_DT= '2017-03-31'
GROUP BY
A.AS_OF_DT,
B.DIVISION,
B.CLASS
ORDER BY SUM (A.EXPOSURE/1000000) DESC
Essentially I want the columns to be the following:
DIVISION|DATE|
Below DIVISION would only be the Top 5 DIVISIONS summarized by EXPOSURE (under DATE)
I can try and clarify if needed. Just let me know.
Thanks!
End result is to have a datapaste I can throw into Excel without the manual work of transposing the data in Excel along with writing formulas to rummage through the 1000's of results of the base query to find summarize the individual Divisions and then picking the top 5 each month.
Thanks!
Shill
To get the 5 top for each division, you can use QUALIFY.
Add this to the end of you query:
QUALIFY ROW_NUMBER() over (PARTITION BY AS_OF_DATE,DIVISION order by (SUM (A.EXPOSURE/1000000))
For your other questions, SQL Assistant isn't much of a presentation tool, it won't do what you are asking for.
If your query already work,
try replacing:
SELECT
By:
SELECT top 10
(line 1)
I've got an aggregated query that checks if I have more than one record matching certain conditions.
SELECT RegardingObjectId, COUNT(*) FROM [CRM_MSCRM].[dbo].[AsyncOperationBase] a
where WorkflowActivationId IN ('55D9A3CF-4BB7-E311-B56B-0050569512FE',
'1BF5B3B9-0CAE-E211-AEB5-0050569512FE',
'EB231B79-84A4-E211-97E9-0050569512FE',
'F0DDF5AE-83A3-E211-97E9-0050569512FE',
'9C34F416-F99A-464E-8309-D3B56686FE58')
and StatusCode = 10
group by RegardingObjectId
having COUNT(*) > 1
That's nice, but then there is one field in AsyncOperationBase that will be unique. Say count(*) = 3, well, AsyncOperationBaseId in AsyncOperationBase will have 3 different values since AsyncOperationBase is the table's primary key.
To be honest, I would not even know what terms and expressions to Google to find a solution.
If anyone has a solution and also, is there any words to describe what I'm looking for ? Perhaps BI people are often faced with such a requirement or something...
I could do it with an SSRS report where the report would visually do the grouping then I could expand each grouped row to get the AsyncOperationBaseId value, but simply through SQL, I can't seem to find a way out...
Thanks.
select * from [CRM_MSCRM].[dbo].[AsyncOperationBase]
where RegardingObjectId in
(
SELECT RegardingObjectId
FROM [CRM_MSCRM].[dbo].[AsyncOperationBase] a
where WorkflowActivationId IN
(
'55D9A3CF-4BB7-E311-B56B-0050569512FE',
'1BF5B3B9-0CAE-E211-AEB5-0050569512FE',
'EB231B79-84A4-E211-97E9-0050569512FE',
'F0DDF5AE-83A3-E211-97E9-0050569512FE',
'9C34F416-F99A-464E-8309-D3B56686FE58'
)
and StatusCode = 10
group by RegardingObjectId
having COUNT(*) > 1
)
SELECT firstpartno, nOccurrence, nMale, nFemale, COUNT(nMale) / CAST
((SELECT SUM(nOccurrence) AS Expr1
FROM (SELECT COUNT(dbo.vw_Tally1.nMale) AS nOccurrence
FROM dbo.vw_Split4) AS SumTally) AS decimal) AS nMProportion, COUNT(nFemale) / CAST
((SELECT SUM(nOccurrence) AS Expr1
FROM (SELECT COUNT(dbo.vw_Tally1.nFemale) AS nOccurrence
FROM dbo.vw_Split4 AS vw_Split4_1) AS SumTally_1) AS decimal) AS nFProportion
FROM dbo.vw_Tally1
GROUP BY firstpartno, nOccurrence, nMale, nFemale
If i understood your question here's the solution for you :
SELECT
firstpartno
,nOccurrence
,nMale
,nFemale
,CASE WHEN SUM_nOccurrence.SUM_nOccurrenceMale = 0
THEN 0
ELSE COUNT(nMale)/SUM_nOccurrence.SUM_nOccurrenceMale
END AS nMProportion
,CASE WHEN SUM_nOccurrence.nOccurrenceFemale = 0
THEN 0
ELSE COUNT(nFemale)/SUM_nOccurrence.nOccurrenceFemale
END AS nFProportion
FROM
dbo.vw_Tally1
LEFT JOIN
(SELECT
CAST(SUM(nOccurrenceMale)AS decimal) AS SUM_nOccurrenceMale
,CAST(SUM(nOccurrenceFemale)AS decimal) AS SUM_nOccurrenceFemale
FROM (SELECT
COUNT(dbo.vw_Tally1.nMale) AS nOccurrenceMale
,COUNT(dbo.vw_Tally1.nFemale) AS nOccurrenceFemale
FROM dbo.vw_Split4 ) AS SumTally) SUM_nOccurrence
ON 1=1
GROUP BY
firstpartno
,nOccurrence
,nMale
,nFemale
I hope this will help you
Good Luck :)
The query looks dubious to say the least. You select all records of table vw_Tally1. For each of these records you do the following:
select COUNT(vw_Tally1.nMale) from table vw_Split4. This is COUNT(*) of vw_Split4 when vw_Tally1.nMale is not null, otherwise it is null.
Then you sum this value. Which makes no sense, as the sum of a value is the value itself.
You do the same for nFemale.
At last you group by (firstpartno, nOccurrence, nMale, nFemale) and use the values found so strangly to calculate something. As you don't aggregate the found values, you get a random match per group. I.e. the dbms takes one of the matching records. As nMale and nFemale are grouping columns, the values are constant for all records of the group. So no big problem, but a lot of useless work.
So to speed this up, first think of what you want to select actually. This looks like to become a very simple select statement in the end. We can help you, if you tell us what your tables contain, what result set you are after, what does nMale and nFemale stand for, and what are the primary keys or unique columns of the tables involved.
I am trying to write a query that looks for a people that have a certain code with the latest period (year) but not if they have another code with that latest period(year). I'll be explicit just so my example makes sense.
I want people who have the code A1,A2,A3,A4,A5 but not AG,AP,AQ. There are people who have an A1 code for a period (like 2014) and an AG code for a the same period. I'd like to exclude them. Not everyone has a code so the field value could be NULL.
Is there a way to express this in a different way (i.e. less characters) than the way I did?
SELECT
people.firstName
FROM
people
WHERE EXISTS (
SELECT *
FROM codes
WHERE
codes.people_id = people.id
AND period = (SELECT MAX(period) FROM codes codes2 WHERE codes2.people_id = codes.people_id)
AND code LIKE 'A[1-5]'
)
AND NOT EXISTS (
SELECT *
FROM codes
WHERE
codes.people_id = people.id
AND period = (
SELECT MAX(period)
FROM codes codes2
WHERE codes2.people_id = codes.people_id
)
AND code LIKE 'A[GPQ]'
)
Schema is as follows:
People
id (PK)
firstName
Codes
people_id (FK) many to one relation with People table
code (e.g. "A1", "A2", "AG")
period (e.g. "2013", "2014")
There are so many ways you could do that, I'm not an SQL expert but I can't see your query being too bad, if you want to try and reduce the number of sub-queries you could consider using the GROUP BY clause along with a SUM Aggregate function in a HAVING clause.
I started updating your code as follows:
SELECT
people.firstName
FROM
people
LEFT JOIN codes AS a15 ON a15.people_id = people.id AND a15.code LIKE 'A[1-5]'
LEFT JOIN codes AS agpq ON agpq.people_id = people.id AND agpq.code LIKE 'A[GPQ]'
GROUP BY
people.firstName
HAVING
SUM(CASE WHEN a15.code IS NULL THEN 0 ELSE 1 END) > 0
AND SUM(CASE WHEN agpq.code IS NULL THEN 0 ELSE 1 END) = 0
This however doesn't take into account anything to do with period specific requirements described. You could add the period to the GROUP BY clause or add it to a WHERE or one of the JOIN constraints but I'm not quite sure from your description exactly what you're after (I don't believe this is through any fault of your own, I just can't personally align the code provided to the description).
I would also like to point out that the SUM functions above will not give an accurate count of the number of matching codes. This is because if both A[GPQ] and A[1_5] return at least one row, the number returned by each constraint will be multiplied by the number returned for the other, it can however be used to determine if there are "any" returned items as if the criteria is matched it will have a SUM(...) > 0
I'm sure a more experienced SQL Developer / DBA will be able to poke many holes in my proposed query but it might give them or someone else something to work from and hopefully gives you ideas for alternatives to using sub-queries.