I have two tables :
the first one called "card" with one column "id".
| id |
| 1 |
| 2 |
| 3 |
| .. |
The second table is named "waste" with two columns "card_id" and "waste_type".
| card_id | waste_type |
| 1 | 1 |
| 1 | 3 |
| 2 | 2 |
| 2 | 1 |
And i want to select only the card where there is no waste_type = 2
The query should look like this :
SELECT c.id FROM card c
JOIN waste w
ON c.id = w.card_id
WHERE waste_type <> 2
I want this result :
id
1
But i get :
id
1
2
How can i do that ? Thank you so much in advance !
You should use a not exists clause for that.
select c.id
from card c
where not exists (select null from waste w
where w.card_id = c.id
and w.waste_type = 2)
With your query, I would guess you rather retrieve
1
1
2
Related
I have three tables store, gender, age_group each of these tables have ids. I need to generate table data for each one all possible combinations of the three.
ex. store_id = (1,2,3) gender_id = (1,2,3) age_group_id = (1,2,3)
so that i have a table that looks like this:
|store_id|gender_id|age_group_id|
|:------:|:-------:|:----------:|
| 1 | 1 | 1 |
| 1 | 2 | 1 |
| 1 | 3 | 1 |
| 2 | 1 | 3 |
| 2 | 2 | 3 |
| 3 | 1 | 3 |
| 3 | 2 | 3 |
etc. continuing on until each combination is populated, any suggestions on best approach to do this in SQL
Cross join the three tables:
select
s.Id as store_id,
g.Id as gender_id,
a.Id as age_group_id
from store s
cross join gender g
cross join age_group a
So I am wondering. I fell into an interesting suggestion from another developer. So i basically have two tables I join in a query and I want the resulting table from the query to have an extra column that comes from the table on from the joint.
Example:
#table A: contains rating of players, changes randomly at any date depending
#on drop of form from the players
PID| Rating | DateChange |
1 | 2 | 10-May-2014 |
1 | 4 | 20-May-2015 |
1 | 20 | 1-June-2015 |
2 | 4 | 1-April-2014|
3 | 4 | 5-April-2014|
2 | 3 | 3-May-2015 |
#Table B: contains match sheets. Every player has a different match sheet
#and plays different dates.
MsID | PID | MatchDate | Win |
1 | 2 | 10-May-2014 | No |
2 | 1 | 15-May-2015 | Yes |
3 | 3 | 10-Apr-2014 | No |
4 | 1 | 21-Apr-2015 | Yes |
5 | 1 | 3-June-2015 | Yes |
6 | 2 | 5-May-2015 | No |
#I am trying to achieve this by running the ms-access query: i want to get
#every players rating at the time the match was played not his current
#rating.
MsID | PID | MatchDate | Rating |
1 | 2 | 10-May-2014 | 4 |
2 | 1 | 15-May-2015 | 2 |
3 | 3 | 10-Apr-2014 | 4 |
4 | 1 | 21-Apr-2015 | 4 |
5 | 1 | 3-June-2015 | 20 |
6 | 2 | 5-May-2015 | 3 |
This is what I have tried below:
Select MsID, PID, MatchDate, A-table.rating as Rating from B-table
left Join A-table
on B-table.PID = A-table.PID
where B-table.MatchDate > A-table.Datechange;
any help is appreciated. The solution can be in Vba as long as it returns something like a view/table I can manipulate using other queries or report.
Think of this in terms of sets of data... you need a set that lists the MAX dateChange for each player's and match date.
Soo...
SELECT MAX(A.DateChange) MDC, A.PID, B.Matchdate
FROM B-table B
INNER Join A-table A
on B.PID = A.PID
and A.DateChange <= B.MatchDate
GROUP BY A.PID, B.Matchdate
Now we take this and join it back to what you've done to limit the results in table A and B to ONLY those with that date player and matchDate (my inline table C)
SELECT B.MsID, B.PID, B.MatchDate, A.rating as Rating
FROM [B-table] B
INNER JOIN [A-table] A
on B.PID = A.PID
INNER JOIN (
SELECT MAX(Y.DateChange) MDC, Y.PID, Z.Matchdate
FROM [B-table] Z
INNER Join [A-table] Y
on Z.PID = Y.PID
and Y.DateChange <= Z.MatchDate
GROUP BY Y.PID, Z.Matchdate) C
on C.mdc = A.DateChange
and A.PID = C.PId
and B.MatchDate = C.Matchdate
I didn't create a sample for this using your data so it's untested but I believe the logic is sound...
Now Tested! SQL Fiddle using SQL server though...
My results don't match yours exactly. I think you're expected results are wrong though for MSID 4 given rules defined.
The procedure is to fill the "City" column in Table B based on the "Letter" column from Table A.
TABLE A
+----------+-------+
| Number | Letter|
+----------+-------+
| 1 | A |
| 1 | |
| 1 | |
| 2 | |
| 2 | |
| 3 | |
| 3 | B |
| 3 | |
| 3 | C |
+----------+-------+
TABLE B
+----------+-------+
| AC | City |
+----------+-------+
| 1 | A |
| 1 | A |
| 1 | A |
| 1 | A |
| 2 | |
| 2 | |
| 2 | |
| 2 | |
| 3 | B |
| 3 | B |
| 3 | B |
+----------+-------+
If AC=1, refer to Number=1, and loop through the "Letter" values from top to bottom to get the top-most value.
For Number=1, the topmost value is A, so for AC=1, fill in all "City" column as A.
For AC=2, Number=2, and there are no values in Table A, so fill in all "City" for each AC=2 as blank.
For AC=3, Number=3, and the top-most value is B, so fill in all "City" for each AC=3 as B.
How do you code this in standard SQL?
I am using the Caspio software and will be inserting the SQL into the "City" column itself, but that shouldn't interfere too much with the code.
This is what I have so far:
SELECT Letter
FROM TableA
WHERE TableA.Number = TableB.AC
AND TableA.Number != ""
LIMIT 1
But it doesn't seem to be working, and I think it's necessary to loop through Table A to find the City value for each AC=Number.
Thanks for any help.
EDIT:
I have figured out the solution:
SELECT TOP 1 Letter
FROM TableA
WHERE Letter !='' AND Number=AC
Thanks.
It doesnt work because you are not including tableB in your FROM clause, or joining it. You can try this one:
SELECT Letter FROM TableA WHERE Number IN
(SELECT AC FROM TableB WHERE City!='' AND City IS NOT NULL)
AND Letter!='' AND LETTER IS NOT NULL
First things first, don't think of "looping" in SQL, it means that you're thinking about the problem wrong. You can to use set-based thinking.
So think about what you want to do, not how you want to do it.
You want to update the TableB.City based on the value of TableA.Letter
UPDATE TableB
SET City = Letter
FROM
(
SELECT Number, Letter,ROW_NUMBER () OVER ( PARTITION BY Number order by number ) AS SortOrder
FROM TableA
WHERE Letter IS NOT NULL AND Letter != ''
) AS A
WHERE A.SortOrder = 1 AND TableB.AC = A.number
I have included the Row_Number sorting, this is to ensure you get the first letter. Please note that you should order by your PK, assuming you have one and assuming that it's an IDENTITY and an int
See the sqlFiddle
EDIT
Sure, you can just do a select.
SELECT TableB.AC, A.Letter
FROM
(
SELECT Number, Letter,ROW_NUMBER () OVER ( PARTITION BY Number order by number ) AS SortOrder
FROM TableA
WHERE Letter IS NOT NULL AND Letter != ''
) AS A
LEFT OUTER JOIN TableB.AC = A.number
WHERE A.SortOrder = 1
I have the following table called Attributes
* AttId * CustomerId * Class * Code *
| 1 | 1 | 1 | AA |
| 2 | 1 | 1 | AB |
| 3 | 1 | 1 | AC |
| 4 | 1 | 2 | AA |
| 5 | 1 | 2 | AB |
| 6 | 1 | 3 | AB |
| 7 | 2 | 1 | AA |
| 8 | 2 | 1 | AC |
| 9 | 2 | 2 | AA |
| 10 | 3 | 1 | AB |
| 11 | 3 | 3 | AB |
| 12 | 4 | 1 | AA |
| 13 | 4 | 2 | AA |
| 14 | 4 | 2 | AB |
| 15 | 4 | 3 | AB |
Where each Class, Code pairing represents a specific Attribute.
I'm trying to write a query that returns all customers that are NOT linked to the Attribute pairing Class = 1, Code = AB.
This would return Customer Id values 2 and 4.
I started to write Select Distinct A.CustomerId From Attributes A Where (A.Class = 1 and A.Code = 'AB') but stopped when I realised I was writing a SQL query and there is not an operator available to place before the parentheses to indicate the clause within must Not be met.
What am I missing? Or which operator should I be looking at?
Edit:
I'm trying to write a query that only returns those Customers (ie distinct Customer Id's) that have NO link to the Attribute pairing Class = 1, Code = AB.
This could only be Customer Id values 2 and 4 as the table does Not contain the rows:
* AttId * CustomerId * Class * Code *
| x | 2 | 1 | AB |
| x | 4 | 1 | AB |
Changed Title from:
How to write "Where Not(a=x and b=x)"in Sql Query
To:
How to write a Sql query to find distinct values that have never met the following "Where Not(a=x and b=x)"
As the previous title was a question in it's own right however the detail of the question added an extra dimension which led to confusion.
One way would be
SELECT DISTINCT CustomerId FROM Attributes a
WHERE NOT EXISTS (
SELECT * FROM Attributes forbidden
WHERE forbidden.CustomerId = a.CustomerId AND forbidden.Class = _forbiddenClassValue_ AND forbidden.Code = _forbiddenCodeValue_
)
or with join
SELECT DISTINCT a.CustomerId FROM Attributes a
LEFT JOIN (
SELECT CustomerId FROM Attributes
WHERE Class = _forbiddenClassValue_ AND Code = _forbiddenCodeValue_
) havingForbiddenPair ON a.CustomerId = havingForbiddenPair.CustomerId
WHERE havingForbiddenPair.CustomerId IS NULL
Yet another way is to use EXCEPT, as per ypercube's answer
SELECT CustomerId
FROM Attributes
EXCEPT
SELECT CustomerId
FROM Attributes
WHERE Class = 1
AND Code = AB ;
Since no one has posted the simple logical statement, here it is:
select . . .
where A.Class <> 1 OR A.Code <> 'AB'
The negative of (X and Y) is (not X or not Y).
I see, this is a grouping thing. For this, you use aggregation and having:
select customerId
from Attributes a
group by CustomerId
having sum(case when A.Class = 1 and A.Code = 'AB' then 1 else 0 end) = 0
I always prefer to solve "is it in a set" type questions using this technique.
Select Distinct A.CustomerId From Attributes A Where not (A.Class = 1 and A.Code = 'AB')
Try this:
SELECT DISTINCT A.CustomerId From Attributes A Where
0 = CASE
WHEN A.Class = 1 and A.Code = 'AB' THEN 1
ELSE 0
END
Edit: of course this still gives you cust 1 (doh!), you should probably use pjotrs NOT EXISTS query ideally, serves me right for not looking at the data closely enough :)
At my worki we have data stored in a database, the data is not normalized. I am looking for a way to find what data was duplicated.
Our Data base has 3 rows columns, Name, State, Strategy
This data might looks something like this:
OldTable:
Name | State | Strat
-----+-------+------
A | M | 1
A | X | 3
B | T | 6
C | M | 1
C | X | 3
D | X | 3
What I'd like to do is move the data to two tables, one containing the name the other containing the set of State and Strats so it would look more like this
NewTable0:
Name | StratID
-----+--------
A | 1
B | 2
C | 1
D | 3
NewTable1:
StratID | State | Strat
--------+-------+------
1 | M | 1
1 | X | 3
2 | T | 6
3 | X | 3
So in the data example A and C would be duplicates, but D would not be. How would I go about finding and/or identifying these duplicates?
Try:
SELECT OT1.Name Name1, OT2.Name Name2
FROM OldTable OT1
JOIN OldTable OT2 ON OT1.Name < OT2.Name AND
OT1.State = OT2.State AND
OT1.Strat = OT2.Strat
GROUP BY OT1.Name, OT2.Name
HAVING COUNT(*) = (SELECT COUNT(*) FROM OldTable TC1 WHERE TC1.NAME = OT1.NAME)
AND COUNT(*) = (SELECT COUNT(*) FROM OldTable TC2 WHERE TC2.NAME = OT2.NAME)
You could find this out by grouping the Names together, and only listing those where there is more than one record:
SELECT OldTable.Name, COUNT(1) Duplicates
FROM OldTable
GROUP BY OldTable.Name
HAVING Duplicates > 1
Should output:
OldTable:
Name | Duplicates
-----+------------
A | 2
C | 2