SELECT
strCodArtigo,
SUM(fltQuantidadePend) OVER (PARTITION BY strCodArtigo),
Lin.CA_Campo01
FROM
Mov_Encomenda_Cab cab
INNER JOIN
Mov_Encomenda_Lin Lin ON Lin.strCodSeccao = cab.strCodSeccao
AND Lin.strCodExercicio = cab.strCodExercicio
AND Lin.strAbrevTpDoc = cab.strAbrevTpDoc
AND Lin.intNumero = cab.intNumero
INNER JOIN
Tbl_Tipos_Documentos tpdoc ON tpdoc.strAbreviatura = cab.strAbrevTpDoc
WHERE
Lin.fltQuantidadePend <> 0
AND cab.bitAnulado = 0
AND tpdoc.bitQuotation = 0
AND tpdoc.intTpEntidade = 0
ORDER BY
strCodArtigo;
I have two rows with the same values (in strCodArtigo and fltQuantidadePend) except for the lin.CA_Campo01. I need to concatenate the strings in lin.CA_Campo01 so it becomes just 1 row, but I can't use string_agg because I have the SQL Server 2016 paid version. Every alternative to string_agg didn't work, and I can't figure out how to solve this problem
The result I am getting:
1.654.831.12 | 13.000000 | 16.05_TESTE
1.654.831.12 | 13.000000 | 16.05_TESTE1
The result I want must be like this:
1.654.831.12 | 13.000000 | 16.05_TESTE/16.05_TESTE1
pls :)
Related
I have an MS Access Query which returns the following sample data:
+-----+------+------+
| Ref | ANS1 | ANS2 |
+-----+------+------+
| 123 | A | A |
| 234 | B | B |
| 345 | C | C |
| 456 | D | E |
| 567 | F | G |
| 678 | H | I |
+-----+------+------+
Is it possible to have Access return the overall percentage where ANS1 = ANS2?
So my new query would return:
50
I know how to get a count of the records returned by the original query, but not how to calculate the percentage.
Since you're looking for a percentage of some condition being met across the entire dataset, the task can be reduced to having a function return either 1 (when the condition is validated), or 0 (when the condition is not validated), and then calculating an average across all records.
This could be achieved in a number of ways, one example might be to use a basic iif statement:
select avg(iif(t.ans1=t.ans2,1,0)) from YourTable t
Or, using the knowledge that a boolean value in MS Access is represented using -1 (True) or 0 (False), the expression can be reduced to:
select -avg(t.ans1=t.ans2) from YourTable t
In each of the above, change YourTable to the name of your table.
If you know how to get a count, then apply that same knowledge twice:
SELECT Count([ANS1]) As MatchCount FROM [Data]
WHERE [ANS1] = [ANS2]
divided by the total count
SELECT Count([ANS1]) As AllCount FROM [Data]
To combine both of these in a basic SQL query, one needs a "dummy" query since Access doesn't allow selection of only raw data:
SELECT TOP 1
((SELECT Count([ANS1]) As MatchCount FROM [Data] WHERE [ANS1] = [ANS2])
/
(SELECT Count([ANS1]) As AllCount FROM [Data]))
AS MatchPercent
FROM [Data]
This of course assumes that there is at least one row... so it doesn't divide by zero.
So I have this Oracle SQL query:
SELECT man.Toilet_Type, NVL(man.manual_PORTA_POTTY, 0) MANUAL, NVL(reg.regular_PORTA_POTTY, 0) REGULAR FROM (
SELECT A.Visitor Toilet_Type, COUNT(A.Toilet_ID) MANUAL_PORTA_POTTY FROM
BORE.EnragedPotty A,
BORE.SemiEnragedPotty B,
BORE.ManualPotty C
WHERE B.SemiEnragedPotty_ID = C.SemiEnragedPotty_ID
AND B.Toilet_ID = A.Toilet_ID
GROUP BY Visitor
ORDER BY Visitor ASC) man
LEFT OUTER JOIN
(SELECT A.Visitor Toilet_Type, COUNT(B.Toilet_ID) REGULAR_PORTA_POTTY FROM
BORE.EnragedPotty A,
BORE.RegularPotty B
WHERE B.Toilet_ID = A.Toilet_ID
GROUP BY Visitor
ORDER BY Visitor ASC) reg ON man.Toilet_Type = reg.Toilet_Type
This gives two table results. The first query, man, gives me the following output:
+===============+========+
| Toilet_Type | Manual |
+===============+========+
| Portable | 234 |
+---------------+--------+
| Home | 10 |
+---------------+--------+
| Assassination | 2 |
+---------------+--------+
The second query, reg, gives me the same output as above, but with REGULAR instead of MANUAL.
What I want to do is query the databases in a more efficient manner. I want the output to be formatted like so:
+===============+========+=========+
| Toilet_Type | Manual | Regular |
+===============+========+=========+
| Portable | 234 | 444 |
+---------------+--------+---------+
| Home | 10 | 222 |
+---------------+--------+---------+
| Assassination | 2 | 111 |
+---------------+--------+---------+
Surely this can be done in a single query without using a LEFT OUTER JOIN?
This is untested, as I didn't have any sample data, but I think something similar to this might get it done in one query:
SELECT
E.Visitor Toilet_Type,
SUM(case when SE.SemiEnragedPotty_ID is not null and
M.Toilet_ID is not null then 1 else 0 end) MANUAL_PORTA_POTTY,
SUM(case when R.Toilet_ID is not null then 1 else 0 end) REGULAR_PORTA_POTTY
FROM
BORE.EnragedPotty E,
BORE.SemiEnragedPotty SE,
BORE.ManualPotty M,
BORE.RegularPotty R
WHERE
E.SemiEnragedPotty_ID = SE.SemiEnragedPotty_ID (+) AND
E.Toilet_ID = M.Toilet_ID (+)
E.Toilet_ID = R.Toilet_ID (+)
GROUP BY Visitor
ORDER BY Visitor ASC
I may have some of the details off -- I had to rename your aliases to follow which table was which, so it wouldn't shock me if I misplaced one of them.
If you need to pull from the same dataset twice, you should consider using subquery factoring.
WITH
some_result_you_dont_want_to_repeat AS (
-- Chunk of SQL goes here
)
SELECT
-- More SQL here
FROM some_result_you_dont_want_to_repeat once
JOIN some_result_you_dont_want_to_repeat twice
ON ...
In your case, it appears that your A-B table join can be factored out.
I have a table in Access 2010, that I am trying to update the TotalDiary column with data from a query.
DiaryDt | EEID | EEName | EESpvrsID | OutOfDiary | TotalDiary
1/2/14 | 123 | phis | text | 5 |
I'm sure this is simplier than I am making it out to be, but I cannot get it to work. My query below is the data that needs updated into the TotalDiary column...
SELECT
a.TotalDiary, b.EEID
FROM ((
SELECT
e.EEID, COUNT(c.CaseID) as TotalDiary
FROM ((dbo_Case c
LEFT JOIN dbo_Employee e ON e.EEID = c.CaseEEID)
LEFT JOIN Auto_DailyDiary_PrimaryTbl a ON a.EEID = e.EEID)
WHERE c.CaseStatus <> 6
AND a.DiaryDt = Date()
GROUP BY e.EEID
) a
LEFT JOIN Auto_DailyDiary_PrimaryTbl b ON b.EEID = a.EEID)
WHERE b.DiaryDt = Date()
I need for the Update Query to Set TotalDiary = a.TotalDiary Where b.EEID = TableToUpdate.EEID
Any help would be appreciated.
Thanks.
I have a question concerning MS Access queries involving these tables:
tblMIDProcessMain ={ Process_ID,Process_Title,...}
tblMIDProcessVersion = { ProcessVersion_ID, ProcessVersion_FK_Process, ProcessVersion_VersionNo, ProcessVersion_FK_Status, ...}
tblMIDProcessVersionStatus = { ProcessVersionStatus_ID,ProcessVersionStatus_Value }
The tables store different versions of a process description. The "ProcessVersion_VersionNo" field contains an integer providing the version number. Now I would like to get for each process the highest version number thus the current version. If I do the following it kind of works:
SELECT tblMIDProcessMain.Process_Titel
, Max(tblMIDProcessVersion.ProcessVersion_VersionNo) AS CurrentVersion
FROM tblMIDProcessMain
INNER JOIN tblMIDProcessVersion
ON tblMIDProcessMain.Process_ID = tblMIDProcessVersion.ProcessVersion_FK_Process
GROUP BY tblMIDProcessMain.Process_Titel;
The query returns a recordset with each existing process_title and the respective max number of the version field. But as soon as I add other fields like "ProcessVersion_FK_Status" in the Select statement the query stops working.
Any help would be appreciated. Thanks in advance.
Jon
Edit:
To clarify things a little I added a simplified example
Parent-Table:
Process_ID | Process_Title
----------------------------------
1 | "MyProcess"
2 | "YourProcess"
Child-Table:
Version_ID | Version_FK_ProcessID | Version_No | Version_Status
---------------------------------------------------------------------------
1 | 1 | 1 | "New"
2 | 2 | 1 | "Discarded"
3 | 2 | 2 | "Reviewed"
4 | 2 | 3 | "Released"
Intended Result:
Title | Max_Version_No | Status
--------------------------------------------------------
MyProcess | 1 | "New"
YourProcess | 3 | "Released"
Given the example tables you updated your post with, this should work:
select process_title as Title
, max_version.max_version_no
, c.version_status as status
from (parenttable p
inner join (select max(version_id) as max_version_no, version_fk_process_id from childtable group by version_fk_process_id) max_version
on p.process_id = max_version.version_fk_process_id)
inner join childtable c
on max_version.max_version_no = c.version_id and max_version.version_fk_process_id = c.version_fk_process_id
I assume you are adding the new field to the 'Group By" clause? If not, then you either must include in the 'Group By', or you must use one of the operators like "Max" or "First" etc.
My data looks like:
run | line | checksum | group
-----------------------------
1 | 3 | 123 | 1
1 | 7 | 123 | 1
1 | 4 | 123 | 2
1 | 5 | 124 | 2
2 | 3 | 123 | 1
2 | 7 | 123 | 1
2 | 4 | 124 | 2
2 | 4 | 124 | 2
and I need a query that returns me the new entries in run 2
run | line | checksum | group
-----------------------------
2 | 4 | 124 | 2
2 | 4 | 124 | 2
I tried several things, but I never got to a satisfying answer.
In this case I'm using H2, but of course I'm interested in a general explanation that would help me to wrap my head around the concept.
EDIT:
OK, it's my first post here so please forgive if I didn't state the question precisely enough.
Basically given two run values (r1, r2, with r2 > r1) I want to determine which rows having row = r2 have a different line, checksum or group from any row where row = r1.
select * from yourtable
where run = 2 and checksum = (select max(checksum)
from yourtable)
Assuming your last run will have the higher run value than others, below SQL will help
select * from table1 t1
where t1.run in
(select max(t2.run) table1 t2)
Update:
Above SQL may not give you the right rows because your requirement is not so clear. But the overall idea is to fetch the rows based on the latest run parameters.
SELECT line, checksum, group
FROM TableX
WHERE run = 2
EXCEPT
SELECT line, checksum, group
FROM TableX
WHERE run = 1
or (with slightly different result):
SELECT *
FROM TableX x
WHERE run = 2
AND NOT EXISTS
( SELECT *
FROM TableX x2
WHERE run = 1
AND x2.line = x.line
AND x2.checksum = x.checksum
AND x2.group = x.group
)
A slightly different approach:
select min(run) run, line, checksum, group
from mytable
where run in (1,2)
group by line, checksum, group
having count(*)=1 and min(run)=2
Incidentally, I assume that the "group" column in your table isn't actually called group - this is a reserved word in SQL and would need to be enclosed in double quotes (or backticks or square brackets, depending on which RDBMS you are using).