I tried to found the solution, I might have done wrong researches, that's why I need your help :(
There is 6 different categorie, with different values. I want to select all of them, but ordered in 2 differents groups : the first would contain all between 1 and 3, ordered by another value.
Always in the same request, I want to display category between 4 and 6, ordered by another value.
The better way is to show you before and after, what I would like :
BEFORE
|Category | name |
| 1 | Barney |
| 6 | Ted |
| 6 | Anita |
| 3 | Jessica |
| 2 | Marshall |
| 3 | Lily |
| 4 | Robin |
| 2 | Bryan |
| 5 | Oliver |
AFTER
|Category | name | ----- Alphabetic sort
| 1 | Barney |
| 2 | Bryan |
| 3 | Jessica |
| 3 | Lily |
| 2 | Marshall |
---------------------------Imaginary line which seperate 2 groups : category 1 2 3 and 4 5 6
| 6 | Anita |
| 5 | Oliver |
| 4 | Robin |
| 6 | Ted |
I hope you understood what I meaned !
Thank you for your help !
Try this:
ORDER BY CASE
WHEN category IN (1, 2, 3) THEN 1
WHEN category IN (4, 5, 6) THEN 2
ELSE 3
END,
name
The query uses a CASE expression in order to group together category subsets: subset 1, 2, 3 is assigned a value of 1 and hence has the greatest priority. Subset 4, 5, 6 is assigned a value of 2, whereas the rest of categories get the lowest priority, i.e. the value of 3.
If you are using MySQL or PostgreSQL you can easily get this by using ORDER BY category>3, name, assuming there are only these two possible groups.
In your SELECT statement try:
... ORDER BY IF(Category<4,0,1) ASC, name ASC
Related
The first column of a table contains some Ids and the values in the other columns are the numbers corresponded to those Ids. Considering some special numbers, we want to select the rows that this special numbers are among the corresponded numbers to Ids. For example, let we have the following table and the special numbers are 3,5. We want to select the rows in which 2,5 are among the columns except Id:
| Id | corresponded numbers
|----|----------------------
| 1 | 2 | 3 | 5 |
| 2 | 1 | 5 |
| 3 | 1 | 2 | 4 | 5 | 7 |
| 4 | 3 | 5 | 6 |
Therefore, we want to have the following table as the result:
| Id | corresponded numbers
|----|----------------------
| 1 | 2 | 3 | 5 |
| 3 | 1 | 2 | 4 | 5 | 7 |
Would you please introduce me a function in Excel or a query in SQL to do the above selection?
SELECT id,
[corresponded numbers]
FROM TableName
WHERE (charIndex('2', [corresponded numbers]) > 0
AND charIndex('5', [corresponded numbers]) > 0)
I want to group the rows on the basis of a specific condition.
The table structure is something like this
EmpID | EmpName | TaskId | A_Shift_Status | B_Shift_Status | C_Shift_Status | D_Shift_Status
1 | John | 1 | 1 | null | 2 | 1
1 | John | 2 | 1 | null | 1 | 1
2 | Mike | 3 | 1 | 1 | 2 | 1
2 | Mike | 4 | null | 1 | null | 1
3 | Steve | 5 | null | 1 | 2 | 1
3 | Steve | 6 | 1 | null | 2 | 1
The criteria will be
Done 1
Pending 2
NA 3
The expected output is to group the employees by task and the status will be on the following condition
if ALL tasks are done by any employee then the status will be done
(i.e. 1)
if ANY of the tasks is incomplete then the status will be
incomplete/pending (i.e. 2)
So the desired output will be
EmpID | EmpName | A_Shift_Status | B_Shift_Status | C_Shift_Status | D_Shift_Status
1 | John | 1 | null | 2 | 1
2 | Mike | 1 | 1 | 2 | 1
3 | Steve | 1 | 1 | 2 | 1
So in other terms summary/grouping should only show complete/done (i.e. 1) when all the rows of a particular shift column of an employee have status as complete/done (i.e. 1)
Based on your data (where the criteria are 1, 2 and NULL for n/a), a simple 'group by' the employee, and MAX of the columns, should work e.g.,
SELECT
yt.EmpID,
yt.EmpName,
MAX(yt.A_Shift_Status) AS A_Shift_Status,
MAX(yt.B_Shift_Status) AS B_Shift_Status,
MAX(yt.C_Shift_Status) AS C_Shift_Status,
MAX(yt.D_Shift_Status) AS D_Shift_Status
FROM
yourtable yt
GROUP BY
yt.EmpID,
yt.EmpName;
For the shift statuses
If any of them are 2, it returns 2
otherwise if any of them are 1, it returns 1
otherwise it returns NULL
Notes re 1/2/3 (which was specified as criteria) vs 1/2/NULL (which is in the data)
It gets a little tricker if the inputs are supposed to use 1/2/3 instead of 1/2/NULL. Let us know if you are changing the inputs to reflect that.
If the input is fine as NULLs, but you need the output to have '3' for n/a (nulls), you can put an ISNULL or COALESCE around the MAX statements e.g., ISNULL(MAX(yt.A_Shift_Status), 3) AS A_Shift_Status
I have the following SQL Server tables (with sample data):
Questionnaire
id | coachNodeId | youngPersonNodeId | complete
1 | 12 | 678 | 1
2 | 12 | 52 | 1
3 | 30 | 99 | 1
4 | 12 | 678 | 1
5 | 12 | 678 | 1
6 | 30 | 99 | 1
7 | 12 | 52 | 1
8 | 30 | 102 | 1
Answer
id | questionnaireId | score
1 | 1 | 1
2 | 2 | 3
3 | 2 | 2
4 | 2 | 5
5 | 3 | 5
6 | 4 | 5
7 | 4 | 3
8 | 5 | 4
9 | 6 | 1
10 | 6 | 3
11 | 7 | 5
12 | 8 | 5
ContentNode
id | text
12 | Zak
30 | Phil
52 | Jane
99 | Ali
102 | Ed
678 | Chris
I have the following T-SQL query:
SELECT
Questionnaire.id AS questionnaireId,
coachNodeId AS coachNodeId,
coachNode.[text] AS coachName,
youngPersonNodeId AS youngPersonNodeId,
youngPersonNode.[text] AS youngPersonName,
ROW_NUMBER() OVER (PARTITION BY Questionnaire.coachNodeId, Questionnaire.youngPersonNodeId ORDER BY Questionnaire.id) AS questionnaireNumber,
score = (SELECT AVG(score) FROM Answer WHERE Answer.questionnaireId = Questionnaire.id)
FROM
Questionnaire
LEFT JOIN
ContentNode AS coachNode ON Questionnaire.coachNodeId = coachNode.id
LEFT JOIN
ContentNode AS youngPersonNode ON Questionnaire.youngPersonNodeId = youngPersonNode.id
WHERE
(complete = 1)
ORDER BY
coachNodeId, youngPersonNodeId
This query outputs the following example data:
questionnaireId | coachNodeId | coachName | youngPersonNodeId | youngPersonName | questionnaireNumber | score
1 | 12 | Zak | 678 | Chris | 1 | 1
2 | 12 | Zak | 52 | Jane | 1 | 3
3 | 30 | Phil | 99 | Ali | 1 | 5
4 | 12 | Zak | 678 | Chris | 2 | 4
5 | 12 | Zak | 678 | Chris | 3 | 4
6 | 30 | Phil | 99 | Ali | 2 | 2
7 | 12 | Zak | 52 | Jane | 2 | 5
8 | 30 | Phil | 102 | Ed | 1 | 5
To explain what's happening here… There are various coaches whose job is to undertake questionnaires with various young people, and log the scores. A coach might, at a later date, repeat the questionnaire with the same young person several times, hoping that they get a better score. The ultimate goal of what I'm trying to achieve is that the managers of the coaches want to see how well the coaches are performing, so they'd like to see whether the scores for the questionnaires tend to go up or not. The window function represents a way to establish how many times the questionnaire has been undertaken by the same coach/young person combo.
I need to be able to determine the average score based on the questionnaire number. So for example, the coach 'Zak' logged scores of '1' and '3' for his first questionnaires (where questionnaireNumber = 1) so the average would be 2. For his second questionnaires (where questionnaireNumber = 2) the scores were '3' and '5' so the average would be 4. So in analysing this data we know that over time Zak's questionnaire scores have improved from an average of '2' the first time to an average of '4' the second time.
I feel like the query needs to be grouped by the coachNodeId and questionnaireNumber values so it would output something like this (I've ommitted the questionnaireId, youngPersonNodeId, youngPersonName and score columns as they aren't crucial for the output — they're only used to derive the averageScore — and wouldn't be useful the way the results are grouped):
coachNodeId | coachName | questionnaireNumber | averageScore
12 | Zak | 1 | 2 (calculation: (1 + 3) / 2)
12 | Zak | 2 | 4 (calculation: (3 + 5) / 2)
12 | Zak | 3 | 4 (only one value: 4)
30 | Phil | 1 | 5 (calculation: (5 + 5) / 2)
30 | Phil | 2 | 2 (only one value: 2)
Could anyone suggest how I can modify my query to output the average scores based on the score from the sub-query and the ROW_NUMBER window function? I've hit the limits of my SQL skills!
Many thanks.
It is a bit hard to tell without sample data, but I think you are describing aggregation:
SELECT q.coachNodeId AS coachNodeId,
cn.[text] AS coachName,
q.youngPersonNodeId AS youngPersonNodeId,
ypn.[text] AS youngPersonName,
AVG(score)
FROM Questionnaire q JOIN
ContentNode cn
ON q.coachNodeId = cn.id JOIN
ContentNode ypn
ON q.youngPersonNodeId = ypn.id LEFT JOIN
Answer a
ON a.questionnaireId = q.id
WHERE complete = 1
GROUP BY q.coachNodeID, cn.[text] AS coachName,
q.youngPersonNodeId, ypn.[text]
Yesterday I asked this question: SQL: How to add values according to index columns but I found out that my problem is a bit more complicated:
I have an array like this
id | value| position | relates_to_position |type
19 | 100 | 2 | NULL | 1
19 | 50 | 6 | NULL | 2
19 | 20 | 7 | 6 | 3
20 | 30 | 3 | NULL | 2
20 | 10 | 4 | 3 | 3
From this I need to create the resulting table, which adds all the lines where the relates_to_position value matches the position value, but only for lines sharing the same id!
The resulting table should be
id | value| position |type
19 | 100 | 2 | 1
19 | 70 | 6 | 2
20 | 40 | 3 | 2
I am using Oracle 11. There is only one level of recursion, meaning a line would not refer to a line which has the relates_to_pos field set.
I think the following query will do this:
select id, coalesce(relates_to_position, position) as position,
sum(value) as value, min(type) as type
from t
group by id, coalesce(relates_to_position, position);
I have the following set of data:
player | score | day
--------+-------+------------
John | 3 | 02-01-2014
John | 5 | 02-02-2014
John | 7 | 02-03-2014
John | 9 | 02-04-2014
John | 11 | 02-05-2014
John | 13 | 02-06-2014
Mark | 2 | 02-01-2014
Mark | 4 | 02-02-2014
Mark | 6 | 02-03-2014
Mark | 8 | 02-04-2014
Mark | 10 | 02-05-2014
Mark | 12 | 02-06-2014
Given two time ranges:
02-01-2014..02-03-2014
02-04-2014..02-06-2014
I need to get average score for each player within a given time range. Ultimate result I'm trying to achieve is this:
player | period_1_score | period_2_score
--------+----------------+----------------
John | 5 | 11
Mark | 4 | 10
The original algorithm I came up with was:
perform SELECT with two values, derived by partitioning the set of scores into two for each time period
over the first SELECT, perform another one, grouping the set by player name.
I'm stuck on step 1: running the following query:
SELECT
player,
AVG(score) OVER (PARTITION BY day BETWEEN '02-01-2014' AND '02-03-2014') AS period_1,
AVG(score) OVER (PARTITION BY day BETWEEN '02-04-2014' AND '02-06-2014') AS period_2;
Gets me incorrect result (note how period1 and period2 average scores scores are the same:
player | period_1_score | period_2_score
--------+----------------+----------------
John | 5 | 5
John | 5 | 5
John | 5 | 5
John | 5 | 5
John | 5 | 5
John | 5 | 5
Mark | 4 | 4
Mark | 4 | 4
Mark | 4 | 4
Mark | 4 | 4
Mark | 4 | 4
Mark | 4 | 4
I think I don't fully understand how window functions work... I have 2 questions:
What is wrong with my query?
How do I do it right?
You don't need window function for this.
Try:
select
player
,avg(case when day BETWEEN '02-01-2014' AND '02-03-2014' then score else null end) as period_1_score
,avg(case when day BETWEEN '02-04-2014' AND '02-06-2014' then score else null end) as period_1_score
from <your data>
group by player