SQL Count Average - mysql

I have table like
id userid semid courseid coursename total
1 36 17 13 CA 23
2 36 17 5 CB 46
3 36 17 8 CC 20
4 36 19 16 CD 34
5 36 19 13 CA 31
6 36 19 3 CA# 29
7 36 19 7 CE 60
8 36 10 9 CK 32
9 36 10 15 CH 56
I need average of semid for a userid i.e., SUM(courseid) /count (moduleid), It was showing 9 as module count, but I have only 3 modules.
This is my query
SELECT userid, SUM(total)/count(semid) FROM custom WHERE userid=36

just use the AVG( ) function
SELECT userid, semid, AVG(total)
FROM custom
WHERE userid = 36
GROUP BY userid, semid
SQLFiddle Demo

SELECT userid, SUM(total)/count(distinct semid) FROM custom WHERE userid=36
Try this query

There is MYSQL aggregate function AVG() for finding Average . #John Totet Woo has posted the answer.

Related

MySQL: Get top 1 IDs

I am trying to figure out how to select the 1st property ID per client ID that gets associated to the Customer ID. Please help. How would I query this?
PropertyID ClientID CustomerID Date
10 1 35 2004
20 1 35 2004
30 2 35 2004
40 2 35 2004
50 3 35 2004
60 3 35 2004
70 4 35 2004
80 4 35 2004
90 5 35 2004
100 5 35 2004
110 6 35 2005
120 6 35 2005
130 7 35 2005
140 7 35 2005
150 8 35 2005
160 8 35 2005
170 9 35 2005
180 9 35 2005
220 15 37 2007
240 15 37 2007
260 16 37 2007
270 16 37 2007
Expected Result:
PropertyID ClientID CustomerID
10 1 35
30 2 35
50 3 35
70 4 35
90 5 35
110 6 35
130 7 35
150 8 35
170 9 35
220 15 37
260 16 37
Assuming by 1st you mean with lowest propertyId, you can use aggregation in subquery to find the lowest propertyId per clientId and then join the results with the original table to get the other corresponding columns.
select propertyId, clientId, customerId
from your_table t
join (
select clientId,
min(propertyId) as propertyId
from your_table
group by clientId
) t2 using (clientId, propertyId);
This assumes the propertyId is unique (per client at least).
Demo
SELECT MIN(PropertyID) AS PropertyID, ClientID, CustomerID
FROM table_name
GROUP BY ClientID,CustomerID;
http://sqlfiddle.com/#!9/e3dce/1
for example

Select data basis of two values of one column matches of a table

suppose this is my table structure of table user
id field_id user_id value
1 1 37 Lalit
4 2 37 Test
5 13 37 123
6 18 37 324
7 28 37 english
8 33 37 203
9 21 37 201
10 1 39 Mukesh
11 2 39 Test
12 13 39 523
13 18 39 245
14 28 39 French
15 33 39 278
16 21 39 2897
So I wnat to get the result to match the two or three values from the column value and want the result
I made query like
SELECT DISTINCT user_id FROM user where value =123 AND value=523;
But it is not working please give solution how we get the result
A value in a row, as per your example, cannot be both 123 and 523. You have to use OR
SELECT DISTINCT(user_id) FROM user WHERE value=123 OR value=523;
Alternatively you can also use IN clause
SELECT DISTINCT user_id
FROM user
WHERE value IN (123, 523);

How to select 3 row per category in MySQL?

I have a table which have a lot of data, it's have a category ID and postId, I need to read 3 new post per category with same CatID.
it's not duplicate of the question suggest by other people. Please check that in my question the postid catid can be anything when in duplicate question it's calculate before running query.
What I have written is
SELECT
MAX(` postid `) AS p1,
` catid ` AS c1
FROM
` postcategory `
GROUP BY
` catid
I can put 2 other query in it union distinct but it will make a query a lot big. Is there any good way to do this in MySQL. What I am looking for reading 3 postId (maximum) belong to same category.
postId catId
------ --------
9 3
15 3
16 3
17 3
18 3
19 5
20 8
21 6
22 8
23 6
46 6
46 8
26 3
25 3
27 5
28 3
37 6
39 10
40 6
41 6
42 6
43 6
44 5
45 11
63 6
64 5
65 6
66 6
68 6
You can read 3 new post from each category Using the below query.
SELECT
p1.postId,
p1.catId
FROM
postcategory p1
JOIN postcategory p2 ON p1.catId = p2.catId
AND p2.postId >= p1.postId
GROUP BY
p1.postId,
p1.catId
HAVING
COUNT(*) <= 3
ORDER BY
catId,
postId
Here you can see the Live Demo
Output:

Need to fetch a MySQL result

I have following MySQL table structure,
id product_id filter_tag_id
14 1 48
17 3 49
18 10 49
19 10 54
20 11 49
21 11 55
22 12 49
23 12 56
24 9 48
25 9 52
26 6 48
27 6 53
28 7 48
29 7 56
30 8 48
31 8 53
32 13 48
33 13 52
34 14 48
35 14 54
36 14 55
37 15 48
38 15 55
i need to fetch only those product_id's which have same filter_tag_id's,
For example only one product_id (9 and 13) having the same filter_tag_id (48 and 52), so I need to fetch only product_id 9 and 13, I'm trying following query, but no success yet.
select product_id from filter_data where filter_tag_id=52 AND filter_tag_id=48;
select product_id from filter_data where filter_tag_id in (52,48);
First query return no result and second one returning wrong results
Use self-join. It looks like more complicated than GROUP BY, but it is faster than group-by. Because with GROUP BY approach, those which only has 48 or 52 should be groupped that is not unneeded rows.
SELECT t1.product_id
FROM filter_data t1 INNER JOIN filter_data t2 ON t1.product_id = t2.product_id
WHERE t1.filter_tag_id = 48 AND t2.filter_tag_id = 52;
If what you want is to find only product_ids having filter_tag_id values equal to 48 and 52 and nothing else but these two values, then try:
SELECT product_id
FROM mytable
GROUP BY product_id
HAVING COUNT(CASE WHEN filter_tag_id = 48 THEN 1 END) > 0 AND
COUNT(CASE WHEN filter_tag_id = 52 THEN 1 END) > 0 AND
COUNT(CASE WHEN filter_tag_id NOT IN (48,52) THEN 1 END) = 0
Demo here
use GROUP BY
Select product_id,COUNT(DISTINCT filter_tag_id) filter_match
from filter_data where filter_tag_id in (52,48)
GROUP BY product_id
HAVING filter_match = 2
the value of filter_match is count you will pass in condition

How to find the latest survey an employee attended?

My table structure is as follows:
employee_survey_id employee_id took_survey_date visual_percent
27 10 2014-08-03 37
29 10 2012-09-11 33
30 4 2014-11-03 30
31 6 2015-03-02 37
32 10 2015-03-04 32
33 4 2015-03-04 33
34 7 2015-03-05 0
I want the list of latest survey information for each employee.
Example:
employee_survey_id Employee_id took_survey_date visual_percent
32 10 2015-03-04 32
33 4 2015-03-04 33
31 6 2015-03-02 37
34 7 2015-03-05 0
I am using mysql. Hope I have explained my question clearly.
You want the group-wise minimum, which can be found by first grouping the table and then joining the results back:
SELECT *
FROM myTable NATURAL JOIN (
SELECT employee_id, MAX(took_survey_date) took_survey_date
FROM myTable
GROUP BY employee_id
) t
See it on sqlfiddle.
Try:
SELECT * FROM employees GROUP BY Employee_id ORDER BY took_survey_date DESC