Here is a sample of my data (n>3000) that ties two numbers together:
id a b
1 7028344 7181310
2 7030342 7030344
3 7030354 7030353
4 7030343 7030345
5 7030344 7030342
6 7030364 7008059
7 7030659 7066051
8 7030345 7030343
9 7031815 7045692
10 7032644 7102337
Now, the problem is that id=2 is a duplicate of id=5 and id=4 is a duplicate of id=8. So, when I tried to write if-then statements to map column a to column b, basically the numbers just get swapped. There are many cases like this in my full data.
So, my question is to identify the duplicate(s) and somehow delete one of the duplicates (either id=2 or id=5). And I preferably want to do this in Excel but I could work with SQL Server or SAS, too.
Thank you in advance. Please comment if my question is not clear.
What I want:
id a b
1 7028344 7181310
2 7030342 7030344
3 7030354 7030353
4 7030343 7030345
6 7030364 7008059
7 7030659 7066051
9 7031815 7045692
10 7032644 7102337
All sorts of ways to do this.
In SAS or SQL, this is simple (for SQL Server, the SQL portion should be identical or nearly so):
data have;
input id a b;
datalines;
1 7028344 7181310
2 7030342 7030344
3 7030354 7030353
4 7030343 7030345
5 7030344 7030342
6 7030364 7008059
7 7030659 7066051
8 7030345 7030343
9 7031815 7045692
10 7032644 7102337
;;;;
run;
proc sql undopolicy=none;
delete from have H where exists (
select 1 from have V where V.id < H.id
and (V.a=H.a and V.b=H.b) or (V.a=H.b and V.b=H.a)
);
quit;
The excel solution would require creating an additional column I believe with the concatenation of the two strings, in order (any order will do) and then a lookup to see if that is the first row with that value or not. I don't think you can do it without creating an additional column (or using VBA, which if you can use that will have a fairly simple solution as well).
Edit:
Actually, the excel solution IS possible without creating a new column (well, you need to put this formula somewhere, but without ANOTHER additional column).
=IF(OR(AND(COUNTIF(B$1:B1,B2),COUNTIF(C$1:C1,C2)),AND(COUNTIF(B$1:B1,C2),COUNTIF(C$1:C1,B2))),"DUPLICATE","")
Assuming ID is in A, B and C contain the values (and there is no header row). That formula goes in the second row (ie, B2/C2 values) and then is extended to further rows (so row 36 will have the arrays be B1:B35 and C1:C35 etc.). That puts DUPLICATE in the rows which are duplicates of something above and blank in rows that are unique.
I haven't tested this out but here is some food for thought, you could join the table against itself and get the ID's that have duplicates
SELECT
id, a, b
FROM
[myTable]
INNER JOIN ( SELECT id, a, b FROM [myTable] ) tbl2
ON [myTable].a = [tbl2].b
OR [myTable].b = tbl2.a
Related
I´m currently working stuck on a SQL issue (well, mainly because I can´t find a way to google it and my SQL skills do not suffice to solve it myself)
I´m working on a system where documents are edited. If the editing process is finished, users mark the document as solved. In the MSSQL database, the corresponding row is not updated but instead, a new row is inserted. Thus, every document that has been processed has [e.g.: should have] multiple rows in the DB.
See the following situation:
ID
ID2
AnotherCondition
Steps
Process
Solved
1
1
yes
Three
ATAT
AF
2
2
yes
One
ATAT
FR
2
3
yes
One
ATAT
EG
2
4
yes
One
ATAT
AF
3
5
no
One
ABAT
AF
4
6
yes
One
ATAT
FR
5
7
no
One
AVAT
EG
6
8
yes
Two
SATT
FR
6
9
yes
Two
SATT
EG
6
10
yes
Two
SATT
AF
I need to select the rows which have not been processed yet. A "processed" document has a "FR" in the "Solved" column. Sadly other versions of the document exist in the DB, with other codes in the "Solved" columns.
Now: If there is a row which has "FR" in the "Solved" column I need to remove every row with the same ID from my SELECT statement as well. Is this doable?
In order to achieve this, I have to remove the rows with the IDs 2 | 4 (because the system sadly isn´t too reliable I guess) | and 6 in my select statement. Is this possible in general?
What I could do is to filter out the duplicates afterwards, in python/js/whatever. But I am curious whether I can "remove" these rows directly in the SQL statement as well.
To rephrase it another time: How can I make a select statement which returns only (in this example) the rows containing the ID´s 1, 3 and 5?
If you need to delete all rows where every id doesn't have any "Solved = 'no'", you can use a DELETE statement that will exclude all "id" values that have at least one "Solved = 'no'" in the corresponding rows.
DELETE FROM tab
WHERE id NOT IN (SELECT id FROM tab WHERE Solved1 = 'no');
Check the demo here.
Edit. If you need to use a SELECT statement, you can simply reverse the condition in the subquery:
SELECT *
FROM tab
WHERE id NOT IN (SELECT id FROM tab WHERE Solved1 = 'yes');
Check the demo here.
I'm not sure I understand your question correct:
...every document that has been processed has [...] multiple rows in the DB
I need to find out which documents have not been processed yet
So it seems you need to find unique documents with no versions, this could be done using a GROUP BY with a HAVING clause:
SELECT
Id
FROM dbo.TableName
GROUP BY Id
HAVING COUNT(*) = 1
I would like to combine rows with duplicates in a specific column such that specific items are listed and others are excluded
I have attempted to use string_agg, group_by and self joins, I feel like I may simply need a better self join but I am not sure.
one two three four
1 1 a NULL
2 4 b e
3 7 c x
3 7 c z
I would like it to look something like this (with the elements that were the same remaining unsegregated)
one two three
1 1 a NULL
2 4 b e
3 7 c x,z
If you are using MySQL :
SELECT one, two, three, GROUP_CONCAT(four)
FROM table
GROUP BY one, two, three
Otherwise, this is a bad thing to do in a RDBMS because this is not a relationnal operation.
You should do this in the client-side of your project.
I have one large table with ~10,000 rows of data and 100 columns that I want to continuously update. The problem is that the files I will use to update (.csv) often are in different orders or contain extra/missing columns. If there are extra columns in the update I am fine discarding them, but I want the remaining columns to match up exactly, even if some are missing or out of order.
I know that there is a solution in creating a select and simply listing all columns, but I am looking for something more elegant/foolproof. Many of the examples I have seen work well enough using MERGE, UNION, or JOIN but I can't get them to work for this much larger dataset, which is why it has been giving me so much trouble. I am not very experienced with SQL so I would appreciate some additional padding to the explanation.
Where ABCD are columns and 1 is data: Here is the master table
a b c d
1 1 1 1
Here is the update table:
b c d e
1 _ 1 1
Only imagine that there are 100 columns and 100 rows to append to the 10,000 stored.
Desired:
a b c d e
1 1 1 1
_ 1 _ 1 1
Or even
a b c d
1 1 1 1
_ 1 _ 1
e:
This answer is exactly what I want, but it doesn't seem possible in TSQL
https://stackoverflow.com/a/52524364/11777090
do union all
select a,b,c,d,0 from table
union all
select 0,b,c,d,e from table
I have 2 procedures (say A and B). They both return data with similar columns set (Id, Name, Count). To be more concrete, procedures results examples are listed below:
A:
Id Name Count
1 A 10
2 B 11
B:
Id Name Count
1 E 14
2 F 15
3 G 16
4 H 17
The IDs are generated as ROW_NUMBER() as I don't have own identifiers for these records because they are aggregated values.
In code I query over the both results using the same class NameAndCountView.
And finally my problem. When I look into results after executing both procedures sequentially I get the following:
A:
Id Name Count
1 A 10 ->|
2 B 11 ->|
|
B: |
Id Name Count |
1 A 10 <-|
2 B 11 <-|
3 G 16
4 H 17
As you can see results in the second set are replaced with results with the same IDs from the first. Of course the problem take place because I use the same class for retrieving data, right?
The question is how to make this work without creating additional NameAndCountView2-like class?
If possible, and if you don't really mind about the original Id values, maybe you can try having the first query return even Ids :
ROW_NUMBER() over (order by .... )*2
while the second returns odd Ids :
ROW_NUMBER() over (order by .... )*2+1
This would also allow you to know where the Ids come from.
I guess this would be repeatable with N queries by having the query number i selecting
ROW_NUMBER() over (order by .... )*n+i
Hope this will help
I am a long time fan of Stack Overflow but I've come across a problem that I haven't found addressed yet and need some expert help.
I have a query that is sorted chronologically with a date-time compound key (unique, never deleted) and several pieces of data. What I want to know is if there is a way to find the start (or end) of a region where a value changes? I.E.
DateTime someVal1 someVal2 someVal3 target
1 3 4 A
1 2 4 A
1 3 4 A
1 2 4 B
1 2 5 B
1 2 5 A
and my query returns rows 1, 4 and 6. It finds the change in col 5 from A to B and then from B back to A? I have tried the find duplicates method and using min and max in the totals property however it gives me the first and last overall instead of the local max and min? Any similar problems?
I didn't see any purpose for the someVal1, someVal2, and someVal3 fields, so I left them out. I used an autonumber as the primary key instead of your date/time field; but this approach should also work with your date/time primary key. This is the data in my version of your table.
pkey_field target
1 A
2 A
3 A
4 B
5 B
6 A
I used a correlated subquery to find the previous pkey_field value for each row.
SELECT
m.pkey_field,
m.target,
(SELECT Max(pkey_field)
FROM YourTable
WHERE pkey_field < m.pkey_field)
AS prev_pkey_field
FROM YourTable AS m;
Then put that in a subquery which I joined to another copy of the base table.
SELECT
sub.pkey_field,
sub.target,
sub.prev_pkey_field,
prev.target AS prev_target
FROM
(SELECT
m.pkey_field,
m.target,
(SELECT Max(pkey_field)
FROM YourTable
WHERE pkey_field < m.pkey_field)
AS prev_pkey_field
FROM YourTable AS m) AS sub
LEFT JOIN YourTable AS prev
ON sub.prev_pkey_field = prev.pkey_field
WHERE
sub.prev_pkey_field Is Null
OR prev.target <> sub.target;
This is the output from that final query.
pkey_field target prev_pkey_field prev_target
1 A
4 B 3 A
6 A 5 B
Here is a first attempt,
SELECT t1.Row, t1.target
FROM t1 WHERE (((t1.target)<>NZ((SELECT TOP 1 t2.target FROM t1 AS t2 WHERE t2.DateTimeId<t1.DateTimeId ORDER BY t2.DateTimeId DESC),"X")));