I'd appreciate some help on the following SQL problem:
I have a table of 3 columns:
ID Group Value
1 1 5
1 1 5
1 2 10
1 2 10
1 3 20
2 1 5
2 1 5
2 1 5
2 2 10
2 2 10
3 1 5
3 2 10
3 2 10
3 2 10
3 4 50
I need to group by ID, and I would like to SUM the values based on DISTINCT values in Group. So the value for a group is only accounted for once even though it may appear multiple for times for a particular ID.
So for IDs 1, 2 and 3, it should return 35, 15 and 65, respectively.
ID SUM
1 35
2 15
3 65
Note that each Group doesn't necessarily have a unique value
Thanks
the CTE will remove all duplicates, so if there a sdiffrenet values for ID and Group, it will be counted.
The next SELECT wil "GROUP By" ID
For Pstgres you would get
WITH CTE as
(SELECT DISTINCT "ID", "Group", "Value" FROM tablA
)
SELECT "ID", SUM("Value") FROM CTE GROUP BY "ID"
ORDER BY "ID"
ID | sum
-: | --:
1 | 35
2 | 15
3 | 65
db<>fiddle here
Given what we know at the moment this is what I'm thinking...
The CTE/Inline view eliminate duplicates before the sum occurs.
WITH CTE AS (SELECT DISTINCT ID, Group, Value FROM TableName)
SELECT ID, Sum(Value)
FROM CTE
GROUP BY ID
or
SELECT ID, Sum(Value)
FROM (SELECT DISTINCT * FROM TableName) CTE
GROUP BY ID
Say I have the following table:
ID
T
R
1
2
1
3
Y
1
4
1
5
1
6
Y
1
7
I would like to add a column which equals the value from column T based on the last non-null value from column R. This means the following:
ID
T
R
GOAL
1
2
1
3
Y
1
4
Y
3
1
5
4
1
6
Y
4
1
7
6
I do have many ID's so I need to make use of the OVER (PARTITION BY ...) clause. Also, if possible, I would like to use a single statement, like
SELECT *
, GOAL
FROM TABLE
So without any extra select statement.
T is in ascending order so just null it out according to R and take the maximum looking backward.
select *,
max(case when R is not null then T end)
over (
partition by id
order by T
rows between unbounded preceding and 1 preceding
) as GOAL
from TBL
http://sqlfiddle.com/#!18/c927a5/5
I want to group records by row numbers.
Like from row 1-3 in group 1 , 4-6 in group 2 , 7-9 in group 3 and so on.
Suppose below is the table structure:
Row NumberDataValue
1 A 10
2 A 5
3 A 1
4 A 33
5 A 2
6 A 127
1 B 1
2 B 0
3 B 7
4 B 7
5 B 5
6 B 8
7 B 1
8 B 0
I want a output like this:
GroupValue
1 10
1 5
1 1
2 33
2 2
2 127
1 1
1 0
1 7
2 7
2 5
2 8
3 1
3 0
I am using Oracle 11G.
I can achieve this using PL/SQL. But I have to use SQL only. As I have to use this query in a reporting tool.
If this is a duplicate question please provide the link of the answered question.
Subtract 1 from the column "RowNumber" and divide by 3.
Then use TRUNC() to get the integer part:
SELECT TRUNC(("RowNumber" - 1) / 3) + 1 "Group",
"Value"
FROM tablename
See the demo.
I would assume the name of the first column is ordering.
You can do:
select
1 + trunc(row_number() over(partition by data order by ordering) - 1) / 3,
value
from t
What you show looks like the output from something like this:
select ceil(rn/3) as grp, value
from your_table
order by rn;
Note that "row number" and "group" are reserved words/phrases which should not be used as column names. I used rn and grp instead.
I think the ceiling function is the simplest way to arrive at what you want. If you want to base it on the RowNumber column:
select ceil( RowNumber / 3.0) as grouping
If you want to calculate it yourself using row_number():
select ceil( row_number() over (order by RowNumber) / 3.0 ) as grouping
I have a table called crewWork as follows :
CREATE TABLE crewWork(
FloorNumber int, AptNumber int, WorkType int, simTime int )
After the table was populated, I need to know how many times a change in apt occurred and how many times a change in floor occurred. Usually I expect to find 10 rows on each apt and 40-50 on each floor.
I could just write a scalar function for that, but I was wondering if there's any way to do that in t-SQL without having to write scalar functions.
Thanks
The data will look like this:
FloorNumber AptNumber WorkType simTime
1 1 12 10
1 1 12 25
1 1 13 35
1 1 13 47
1 2 12 52
1 2 12 59
1 2 13 68
1 1 14 75
1 4 12 79
1 4 12 89
1 4 13 92
1 4 14 105
1 3 12 115
1 3 13 129
1 3 14 138
2 1 12 142
2 1 12 150
2 1 14 168
2 1 14 171
2 3 12 180
2 3 13 190
2 3 13 200
2 3 14 205
3 3 14 216
3 4 12 228
3 4 12 231
3 4 14 249
3 4 13 260
3 1 12 280
3 1 13 295
2 1 14 315
2 2 12 328
2 2 14 346
I need the information for a report, I don't need to store it anywhere.
If you use the accepted answer as written now (1/6/2023), you get correct results with the OP dataset, but I think you can get wrong results with other data.
CONFIRMED: ACCEPTED ANSWER HAS A MISTAKE (as of 1/6/2023)
I explain the potential for wrong results in my comments on the accepted answer.
In this db<>fiddle, I demonstrate the wrong results. I use a slightly modified form of accepted answer (my syntax works in SQL Server and PostgreSQL). I use a slightly modified form of the OP's data (I change two rows). I demonstrate how the accepted answer can be changed slightly, to produce correct results.
The accepted answer is clever but needs a small change to produce correct results (as demonstrated in the above db<>fiddle and described here:
Instead of doing this as seen in the accepted answer COUNT(DISTINCT AptGroup)...
You should do thisCOUNT(DISTINCT CONCAT(AptGroup, '_', AptNumber))...
DDL:
SELECT * INTO crewWork FROM (VALUES
-- data from question, with a couple changes to demonstrate problems with the accepted answer
-- https://stackoverflow.com/q/8666295/1175496
--FloorNumber AptNumber WorkType simTime
(1, 1, 12, 10 ),
-- (1, 1, 12, 25 ), -- original
(2, 1, 12, 25 ), -- new, changing FloorNumber 1->2->1
(1, 1, 13, 35 ),
(1, 1, 13, 47 ),
(1, 2, 12, 52 ),
(1, 2, 12, 59 ),
(1, 2, 13, 68 ),
(1, 1, 14, 75 ),
(1, 4, 12, 79 ),
-- (1, 4, 12, 89 ), -- original
(1, 1, 12, 89 ), -- new , changing AptNumber 4->1->4 ges)
(1, 4, 13, 92 ),
(1, 4, 14, 105 ),
(1, 3, 12, 115 ),
...
DML:
;
WITH groupedWithConcats as (SELECT
*,
CONCAT(AptGroup,'_', AptNumber) as AptCombo,
CONCAT(FloorGroup,'_',FloorNumber) as FloorCombo
-- SQL SERVER doesnt have TEMPORARY keyword; Postgres doesn't understand # for temp tables
-- INTO TEMPORARY groupedWithConcats
FROM
(
SELECT
-- the columns shown in Andriy's answer:
-- https://stackoverflow.com/a/8667477/1175496
ROW_NUMBER() OVER ( ORDER BY simTime) as RN,
-- AptNumber
AptNumber,
ROW_NUMBER() OVER (PARTITION BY AptNumber ORDER BY simTime) as RN_Apt,
ROW_NUMBER() OVER ( ORDER BY simTime)
- ROW_NUMBER() OVER (PARTITION BY AptNumber ORDER BY simTime) as AptGroup,
-- FloorNumber
FloorNumber,
ROW_NUMBER() OVER (PARTITION BY FloorNumber ORDER BY simTime) as RN_Floor,
ROW_NUMBER() OVER ( ORDER BY simTime)
- ROW_NUMBER() OVER (PARTITION BY FloorNumber ORDER BY simTime) as FloorGroup
FROM crewWork
) grouped
)
-- if you want to see how the groupings work:
-- SELECT * FROM groupedWithConcats
-- otherwise just run this query to see the counts of "changes":
SELECT
COUNT(DISTINCT AptCombo)-1 as CountAptChangesWithConcat_Correct,
COUNT(DISTINCT AptGroup)-1 as CountAptChangesWithoutConcat_Wrong,
COUNT(DISTINCT FloorCombo)-1 as CountFloorChangesWithConcat_Correct,
COUNT(DISTINCT FloorGroup)-1 as CountFloorChangesWithoutConcat_Wrong
FROM groupedWithConcats;
ALTERNATIVE ANSWER
The accepted-answer may eventually get updated to remove the mistake. If that happens I can remove my warning but I still want leave you with this alternative way to produce the answer.
My approach goes like this: "check the previous row, if the value is different in previous row vs current row, then there is a change". SQL doesn't have idea or row order functions per se (at least not like in Excel for example; )
Instead, SQL has window functions. With SQL's window functions, you can use the window function RANK plus a self-JOIN technique as seen here to combine current row values and previous row values so you can compare them. Here is a db<>fiddle showing my approach, which I pasted below.
The intermediate table, showing the columns which has a value 1 if there is a change, 0 otherwise (i.e. FloorChange, AptChange), is shown at the bottom of the post...
DDL:
...same as above...
DML:
;
WITH rowNumbered AS (
SELECT
*,
ROW_NUMBER() OVER ( ORDER BY simTime) as RN
FROM crewWork
)
,joinedOnItself AS (
SELECT
rowNumbered.*,
rowNumberedRowShift.FloorNumber as FloorShift,
rowNumberedRowShift.AptNumber as AptShift,
CASE WHEN rowNumbered.FloorNumber <> rowNumberedRowShift.FloorNumber THEN 1 ELSE 0 END as FloorChange,
CASE WHEN rowNumbered.AptNumber <> rowNumberedRowShift.AptNumber THEN 1 ELSE 0 END as AptChange
FROM rowNumbered
LEFT OUTER JOIN rowNumbered as rowNumberedRowShift
ON rowNumbered.RN = (rowNumberedRowShift.RN+1)
)
-- if you want to see:
-- SELECT * FROM joinedOnItself;
SELECT
SUM(FloorChange) as FloorChanges,
SUM(AptChange) as AptChanges
FROM joinedOnItself;
Below see the first few rows of the intermediate table (joinedOnItself). This shows how my approach works. Note the last two columns, which have a value of 1 when there is a change in FloorNumber compared to FloorShift (noted in FloorChange), or a change in AptNumber compared to AptShift (noted in AptChange).
floornumber
aptnumber
worktype
simtime
rn
floorshift
aptshift
floorchange
aptchange
1
1
12
10
1
0
0
2
1
12
25
2
1
1
1
0
1
1
13
35
3
2
1
1
0
1
1
13
47
4
1
1
0
0
1
2
12
52
5
1
1
0
1
1
2
12
59
6
1
2
0
0
1
2
13
68
7
1
2
0
0
Note instead of using the window function RANK and JOIN, you could use the window function LAG to compare values in the current row to the previous row directly (no need to JOIN). I don't have that solution here, but it is described in the Wikipedia article example:
Window functions allow access to data in the records right before and after the current record.
If I am not missing anything, you could use the following method to find the number of changes:
determine groups of sequential rows with identical values;
count those groups;
subtract 1.
Apply the method individually for AptNumber and for FloorNumber.
The groups could be determined like in this answer, only there's isn't a Seq column in your case. Instead, another ROW_NUMBER() expression could be used. Here's an approximate solution:
;
WITH marked AS (
SELECT
FloorGroup = ROW_NUMBER() OVER ( ORDER BY simTime)
- ROW_NUMBER() OVER (PARTITION BY FloorNumber ORDER BY simTime),
AptGroup = ROW_NUMBER() OVER ( ORDER BY simTime)
- ROW_NUMBER() OVER (PARTITION BY AptNumber ORDER BY simTime)
FROM crewWork
)
SELECT
FloorChanges = COUNT(DISTINCT FloorGroup) - 1,
AptChanges = COUNT(DISTINCT AptGroup) - 1
FROM marked
(I'm assuming here that the simTime column defines the timeline of changes.)
UPDATE
Below is a table that shows how the distinct groups are obtained for AptNumber.
AptNumber RN RN_Apt AptGroup (= RN - RN_Apt)
--------- -- ------ ---------
1 1 1 0
1 2 2 0
1 3 3 0
1 4 4 0
2 5 1 4
2 6 2 4
2 7 3 4
1 8 5 => 3
4 9 1 8
4 10 2 8
4 11 3 8
4 12 4 8
3 13 1 12
3 14 2 12
3 15 3 12
1 16 6 10
… … … …
Here RN is a pseudo-column that stands for ROW_NUMBER() OVER (ORDER BY simTime). You can see that this is just a sequence of rankings starting from 1.
Another pseudo-column, RN_Apt contains values produces by the other ROW_NUMBER, namely ROW_NUMBER() OVER (PARTITION BY AptNumber ORDER BY simTime). It contains rankings within individual groups of identical AptNumber values. You can see that, for a newly encountered value, the sequence starts over, and for a recurring one, it continues where it stopped last time.
You can also see from the table that if we subtract RN from RN_Apt (could be the other way round, doesn't matter in this situation), we get the value that uniquely identifies every distinct group of same AptNumber values. You might as well call that value a group ID.
So, now that we've got these IDs, it only remains for us to count them (count distinct values, of course). That will be the number of groups, and the number of changes is one less (assuming the first group is not counted as a change).
add an extra column changecount
CREATE TABLE crewWork(
FloorNumber int, AptNumber int, WorkType int, simTime int ,changecount int)
increment changecount value for each updation
if want to know count for each field then add columns corresponding to it for changecount
Assuming that each record represents a different change, you can find changes per floor by:
select FloorNumber, count(*)
from crewWork
group by FloorNumber
And changes per apartment (assuming AptNumber uniquely identifies apartment) by:
select AptNumber, count(*)
from crewWork
group by AptNumber
Or (assuming AptNumber and FloorNumber together uniquely identifies apartment) by:
select FloorNumber, AptNumber, count(*)
from crewWork
group by FloorNumber, AptNumber