I've been trying to look for a way to sum a specific set of values in a query.
Currently I have a query that returns all values needed, but I want it to now sum several values.
|Name|Value|
|x |1 |
|x |2 |
|x |3 |
|x |5 |
|y |3 |
|y |2 |
|y |2 |
|y |3 |
|z |3 |
|z |2 |
|z |1 |
I don't know if I should run a subquery, I'm not necessarily summing up distinct values, but instead have something along the lines of this:
|Name|Value|
|x |11 |
|y |10 |
|z |6 |
Although, each entry has their own unique ID for their respective row. I'm fairly new at this so I don't know if I would take that into account with my query.
Select q.name, sum(q.value)
from (YOUR_SELECT_QUERY) q
group by q.name
A CTE might be the easiest way to go here:
;WITH CTE AS (Your Query Here)
SELECT Name, SUM(Value) AS Value
FROM CTE
GROUP BY Name
Related
I have a table which looks like this:
-----------------------------------
|location|address|latitude|longitude|
-----------------------------------
|1 |a |20 |21 |
|1 |b |21 |22 |
|1 |c |23 |24 |
|2 |d |45 |50 |
|2 |e |46 |47 |
|2 |f |40 |45 |
-----------------------------------
I am trying to find which row is the closest (distance wise) to any given row of the table (for each location group) and to return this distance as a new column:
Expected output
--------------------------------------------
|location|address|latitude|longitude|distance|
--------------------------------------------
|1 |a |20 |21 |1.41 | <- Closest neighbour is b
|1 |b |21 |22 |1.41 | <- Closest neighbour is a
|1 |c |23 |24 |2.82 | <- Closest neighbour is b
|2 |d |45 |50 |1.41 | <- Closest neighbour is e
|2 |e |46 |51 |1.41 | <- Closest neighbour is d
|2 |f |41 |46 |2.82 | <- Closest neighbour is d
--------------------------------------------
In the expected output example I've calculated the Euclidean distance but I need the Haversine distance (using ST_DISTANCE in bigquery) it's just that the Euclidean is easier to calculate by hand.
My table is a sample of the actual data and contains ~500k rows. I can do a full outer join with this sample table but the full table has ~30m rows so this approach is not feasible.
I'm trying to transform a base with duplicates into a new base according to the attached model
impossible without duplicate
I don't see how I can do
in advance thank you for your help
original base
IDu| ID | Information
1 |A |1
2 |A |2
3 |A |3
4 |A |4
5 |A |5
6 |B |1
7 |B |2
8 |B |3
9 |B |4
10 |C |1
11 |D |1
12 |D |2
13 |D |3
base to reach
ID | Resultat/table2 | plus grand valeur
A |(1,2,3,4,5) |5
B |(1,2,3,4) |4
C |(1) |1
D |(1,2,3) |3
You can use GROUP_CONCAT
(https://www.w3resource.com/mysql/aggregate-functions-and-grouping/aggregate-functions-and-grouping-group_concat.php):
SELECT
ID, GROUP_CONCAT(INFORMATION), COUNT(INFORMATION)
FROM
TABLE
GROUP BY
ID
a huge thank you.
Quick and perfect response
on the other hand how I can filter to have the greatest value
this query ranges from smallest to largest, but how to keep only the largest value
D | Resultat/table2 | greatest value
A |(1,2,3,4,5) |5
B |(1,2,3,4) |4
C |(1) |1
D |(1,2,3) |3
I tried, but without success
SELECT ID,GROUP_CONCAT(ID1)
from tournee_reduite
GROUP BY ID
ORDER BY MAX(ID1) desc;
another huge thank you
I want to condionally concatenate text cells in oracle table according to sequence (SEQ) number attribute. Is it possible to do it? I need your help with the query.
For example I have the following table DATA:
|-----------------|
|ID|CODE|SEQ|TEXT |
|--|----|---|-----|
|1 |a |1 |text1|
|1 |a |2 |text2|
|2 |b |1 |text3|
|3 |c |1 |text4|
|4 |d |1 |text6|
|4 |d |2 |text7|
|4 |d |3 |text8|
-------------------
What I want to do is to create a new table DATA1 which concatenates TEXT values having the same id and code with concatenated texts in case SEQ > 1. The new table should look like this:
|-------------------------|
|ID|CODE|TEXT |
|--|----|-----------------|
|1 |a |text1 text2 |
|2 |b |text3 |
|3 |c |text4 |
|4 |d |text6 text7 text8|
---------------------------
listagg() function might be used with grouping by id and code.
select id, code,
listagg(text,' ') within group (order by seq) as text
from tab
group by id, code
Demo
I'm working on a legacy view which for a key returns multiple subsets of data that I would like as separate rows. Example of what's being returned:
|a |b |cStartQty |cUpdatedQty |dStartQty |dUpdatedQty |
|1 |2 |10 |20 |15 |20 |
|2 |4 |11 |18 |16 |21 |
What I'd like returned is something like
|a |b |Account |StartQty |UpdatedQty |
|1 |2 |cXX |10 |20 |
|1 |2 |dXX |15 |21 |
|2 |4 |cXX |11 |18 |
|2 |4 |dXX |16 |21 |
At first I thought I could do this with a chain of unions but that would require many redundant queries on the view (there are approximately 15 subsets). Outside of that I don't really have a clue how to proceed. If necessary I thought I may have to wrap this view in a proc and go that route.
You ca use UNNEST:
SELECT
a,
b,
UNNEST(ARRAY[cStartQty, dStartQty]) as StartQty,
UNNEST(ARRAY[cUpdateQty, dUpdateQty]) as UpdateQty
FROM mytable
** UPDATE **
Sorry, I didn't notice you are using sybase.
I don't know if sybase supports unnest, but I will leave the answer as it is to see if someone can confirm sybase support. The proposed query works on Postgresql.
I have a table with a bunch of scores for lessons, on a user by user basis
------------------------
|uid |lesson_id |score |
------------------------
|1 |0 |20 |
|1 |0 |25 |
|1 |0 |15 |
|1 |0 |40 |
|1 |1 |70 |
|1 |0 |10 |
|1 |1 |20 |
|1 |1 |55 |
|1 |1 |55 |
|1 |0 |5 |
|1 |2 |65 |
------------------------
I also have a table of all possible lessons that can be scored:
------------
|lesson_id |
------------
|0 |
|1 |
|2 |
|3 |
|4 |
|5 |
------------
I need to calculate the maximum score for each lesson in the second table from the scores in the first table, and take an average of that over the number of lessons in the second table:
So, the maximum scores for the scores table are (for user 1):
-----------------------
|lesson_id |max_score |
-----------------------
|0 |40 |
|1 |70 |
|2 |65 |
-----------------------
I need to sum them: 175 and divide by the total number of lessons in table 2: 6 which should give the answer 29.16
Any ideas how to do this in a single statement?
I can get the average of all max values for the scores table (for user 1) like so:
SELECT AVG(max_score) AS avg_max_score FROM
(
SELECT uid, lesson_id, MAX(score) AS max_score FROM cdu_user_progress
AND uid =1
GROUP BY lesson_id
) AS m
SELECT
AVG(max_score)
FROM
(
SELECT
lesson.lesson_id,
max(isNull(score,0)) as max_score
FROM
lesson
LEFT JOIN
cdu_user_progress
ON
lesson.lesson_id = cdu_user_progress.lesson_id
GROUP BY
lesson.lesson_id
) AS m