I have column user and rating.
SELECT rating.idUser, user.nmUser, rating.idBengkel, rating.nilai FROM `rating`
JOIN user on rating.idUser = user.idUser
WHERE rating.idBengkel=1 or rating.idBengkel=2
Result :
+--------+---------------------------+-----------+-------+
| idUser | nmUser | idBengkel | nilai |
+--------+---------------------------+-----------+-------+
| 10 | Hudson mas77 | 1 | 5 |
| 11 | Vina Nurfadzilah | 1 | 5 |
| 12 | Angelica Amartya | 1 | 5 |
| 15 | Syahrul K | 1 | 4 |
| 27 | Ashar Murdihastomo | 1 | 5 |
| 28 | Eril Obeit Choiri | 1 | 2 |
| 29 | Ariyadi | 1 | 3 |
| 30 | Robertus Dwian Augusta | 1 | 4 |
| 31 | Irfan Setiaji | 1 | 4 |
| 33 | Baby Ayuna | 1 | 5 |
| 9 | Nur k hamid | 2 | 5 |
| 10 | Hudson mas77 | 2 | 5 |
| 13 | Yuana Putra | 2 | 4 |
| 14 | Nanda Aulia Irza Ramadhan | 2 | 4 |
| 26 | taufiq rahman | 2 | 5 |
| 27 | Ashar Murdihastomo | 2 | 5 |
| 28 | Eril Obeit Choiri | 2 | 5 |
| 30 | Robertus Dwian Augusta | 2 | 4 |
| 44 | halim budiono | 2 | 1 |
+--------+---------------------------+-----------+-------+
When i try to get similar records using this query
SELECT rating.idUser, user.nmUser FROM rating
JOIN user
ON rating.idUser = user.idUser
WHERE rating.idBengkel = 1 and rating.idUser
IN (SELECT rating.idUser from rating WHERE rating.idBengkel = 2)
ORDER by idUser
Result :
+-----------+------------------------+
| idUser | nmUser |
+-----------+------------------------+
| 10 | Hudson mas77 |
| 27 | Ashar Murdihastomo |
| 28 | Eril Obeit Choiri |
| 30 | Robertus Dwian Augusta |
+-----------+------------------------+
The result work fine, but I want show column 'nilai' as ItemX and ItemY. Those are user similar data. In this case I have 4 similar user who rate on idBengkel=1 and idBengkel=2 as the results above. I want it like the table below.
+--------+------------------------+-------+-------+
| idUser | nmUser | ItemX | ItemY |
+--------+------------------------+-------+-------+
| 10 | Hudson mas77 | 5 | 5 |
| 27 | Ashar Murdihastomo | 5 | 5 |
| 28 | Eril Obeit Choiri | 2 | 5 |
| 30 | Robertus Dwian Augusta | 4 | 4 |
+--------+------------------------+-------+-------+
I need solution for this and i was trying with this solution in https://stackoverflow.com/a/7976379/12396302 but it resulting more than one row. Please help me, I cant implement that query's solution. Regards!
I think you need below query -
SELECT rating.idUser,
user.nmUser,
MAX(CASE WHEN rating.idBengkel = 1 THEN rating.nilai END) ItemX,
MAX(CASE WHEN rating.idBengkel = 2 THEN rating.nilai END) ItemY,
FROM `rating`
JOIN user on rating.idUser = user.idUser
WHERE rating.idBengkel IN (1, 2)
GROUP BY rating.idUser,
user.nmUser
Related
For all players, I need to find the player number and a list of the numbers of teams for which they have ever played.
Here is the table "MATCHES":
+---------+--------+----------+-----+------+
| MATCHNO | TEAMNO | PLAYERNO | WON | LOST |
+---------+--------+----------+-----+------+
| 1 | 1 | 6 | 3 | 1 |
| 2 | 1 | 6 | 2 | 3 |
| 3 | 1 | 6 | 3 | 0 |
| 4 | 1 | 44 | 3 | 2 |
| 5 | 1 | 83 | 0 | 3 |
| 6 | 1 | 2 | 1 | 3 |
| 7 | 1 | 57 | 3 | 0 |
| 8 | 1 | 8 | 0 | 3 |
| 9 | 2 | 27 | 3 | 2 |
| 10 | 2 | 104 | 3 | 2 |
| 11 | 2 | 112 | 2 | 3 |
| 12 | 2 | 112 | 1 | 3 |
| 13 | 2 | 8 | 0 | 3 |
+---------+--------+----------+-----+------+
The best I could come up with was:
SELECT DISTINCT playerno, teamno
FROM matches
ORDER BY playerno;
which results in:
+----------+--------+
| playerno | teamno |
+----------+--------+
| 2 | 1 |
| 6 | 1 |
| 8 | 1 |
| 8 | 2 |
| 27 | 2 |
| 44 | 1 |
| 57 | 1 |
| 83 | 1 |
| 104 | 2 |
| 112 | 2 |
+----------+--------+
Notice how player 8 has played on two teams. How can I get the table to show only one row for player 8 and a list of teamno's (1 & 2)?
You could use the group_concat aggregate function:
SELECT playerno, GROUP_CONCAT(DISTINCT teamno)
FROM matches
GROUP BY playerno
ORDER BY playerno;
You could use group_concat
SELECT playerno, group_concat( teamno)
FROM matches
GROUP BY playerno;
How can I write a Query to join 3 tables, resulting a ordered and sorted list?
I have 3 tables with the following structure
:
Table Users:
|---------------------------|
| Users |
|---------------------------|
| ID | Name |
|-------------|-------------|
| 1 | John |
|-------------|-------------|
| 2 | David |
|-------------|-------------|
| 3 | James |
|-------------|-------------|
| 4 | Jack |
|-------------|-------------|
Table Questions:
|-------------------------------------------------------|
| Questions |
|-------------------------------------------------------|
| ID | Question |
|-------|-----------------------------------------------|
| 1 | How old are you working in this company? |
|-------|-----------------------------------------------|
| 2 | How many customers do you notice? |
|-------|-----------------------------------------------|
| 3 | What is your salary? |
|-------|-----------------------------------------------|
| 4 | Do you speak another language? |
|-------|-----------------------------------------------|
Table Replies
|----------------------------------------|
| Replies |
|----------------------------------------|
| ID | USER ID | QUESTION ID | Reply |
|-----|---------|-------------|----------|
| 1 | 1 | 1 | 10 |
|-----|---------|-------------|----------|
| 2 | 1 | 2 | 30 |
|-----|---------|-------------|----------|
| 3 | 1 | 3 | 3000 |
|-----|---------|-------------|----------|
| 4 | 1 | 4 | yes |
|-----|---------|-------------|----------|
| 5 | 2 | 1 | 7 |
|-----|---------|-------------|----------|
| 6 | 2 | 2 | 25 |
|-----|---------|-------------|----------|
| 7 | 2 | 3 | 1500 |
|-----|---------|-------------|----------|
| 8 | 2 | 4 | no |
|-----|---------|-------------|----------|
| 9 | 3 | 1 | 5 |
|-----|---------|-------------|----------|
| 10 | 3 | 2 | 50 |
|-----|---------|-------------|----------|
| 11 | 3 | 3 | 2000 |
|-----|---------|-------------|----------|
| 12 | 3 | 4 | yes |
|-----|---------|-------------|----------|
| 13 | 4 | 1 | 7 |
|-----|---------|-------------|----------|
| 14 | 4 | 2 | 40 |
|-----|---------|-------------|----------|
| 15 | 4 | 3 | 2000 |
|-----|---------|-------------|----------|
| 16 | 4 | 4 | yes |
|-----|---------|-------------|----------|
I need to write a SQL Query to filter and sort these results.
Almost like an Excel.
Example:
I need to select who speaks another language, who serves from 5 to 100 clients, ordering for the decreasing salary and years in the descending company.
It should result like this:
|--------------------------------------------------------------------|
| Result |
|--------------------------------------------------------------------|
| ORDER | NAME | QUESTION 1 | QUESTION 2 | QUESTION 3 | QUESTION 4 |
|-------|--------|------------|------------|------------|------------|
| 1 | John | 10 | 30 | 3000 | Yes |
|-------|--------|------------|------------|------------|------------|
| 2 | Jack | 7 | 40 | 2000 | Yes |
|-------|--------|------------|------------|------------|------------|
| 3 | James | 5 | 50 | 2000 | Yes |
|-------|--------|------------|------------|------------|------------|
Any suggestions?
Thanks
Do the JOIN with conditional aggregation :
select u.user_id, u.name,
max(case when r.QUESTIONID = 1 then r.reply) as QUESTION1,
max(case when r.QUESTIONID = 2 then r.reply) as QUESTION2,
max(case when r.QUESTIONID = 3 then r.reply) as QUESTION3,
max(case when r.QUESTIONID = 4 then r.reply) as QUESTION4
from Replies r inner join
Users u
on u.user_id = r.user_id
group by u.user_id, u.name;
EDIT :
select t.*
from ( <query> ) t
where . . .;
I need to create a log having the purchase date of an item.
Items can be owned by only one buyer at time. So, for example, if item1 was purchased by buyer2 in 2009 and after by buyer1 in 2015, then between 2009 and 2015 was owned by buyer2.
Here is my table:
+--------+------------+-----------+----------+
| id_doc | date | id_item | id_buyer |
+--------+------------+-----------+----------+
| 11 | 2016-06-07 | 1 | 4 |
| 10 | 2016-06-06 | 1 | 4 |
| 1 | 2015-11-30 | 1 | 1 |
| 9 | 2009-01-01 | 1 | 2 |
| 4 | 2001-01-12 | 1 | 2 |
| 8 | 1996-06-06 | 1 | 2 |
| 3 | 1995-05-29 | 1 | 1 |
| 2 | 1998-05-23 | 2 | 2 |
| 7 | 2014-10-10 | 3 | 2 |
| 6 | 2003-12-12 | 3 | 3 |
| 5 | 1991-01-12 | 3 | 2 |
+--------+------------+-----------+----------+
Here is a kind of table/view I need:
+------------+------------+-----------+----------+--------+
| date_from | date_to | id_item | id_buyer | id_doc |
+------------+------------+-----------+----------+--------+
| 2016-06-07 | - | 1 | 4 | 11 |
| 2016-06-06 | 2016-06-07 | 1 | 4 | 10 |
| 2015-11-30 | 2016-06-06 | 1 | 1 | 1 |
| 2009-01-01 | 2015-11-30 | 1 | 2 | 9 |
| 2001-01-12 | 2009-01-01 | 1 | 2 | 4 |
| 1996-06-06 | 2001-01-12 | 1 | 2 | 8 |
| 1995-05-29 | 1996-06-06 | 1 | 1 | 3 |
| 1998-05-23 | - | 2 | 2 | 2 |
| 2014-10-10 | - | 3 | 2 | 7 |
| 2003-12-12 | 2014-10-10 | 3 | 3 | 6 |
| 1991-01-12 | 2003-12-12 | 3 | 2 | 5 |
+------------+------------+-----------+----------+--------+
I've tried a lot with GROUP BY, GROUP_CONCAT, trying to access next record date, etc ... but I can't found out how to solve the problem.
Thanks in advance.
I finally found out the solution only for past purchases.
SELECT
main.id_doc, main.id_item, main.date AS "date_from", bi.date AS "date_to", main.id_buyer
FROM
MyTable main, MyTable bi
WHERE
bi.id_doc =
(
SELECT sub.id_doc
FROM MyTable sub
WHERE sub.id_item = main.id_item AND sub.date > main.date ORDER BY sub.date ASC LIMIT 1
);
This seems like such a simple problem, but I can't find a good solution. I'm trying to select information from a slightly misformatted table. Basically, wherever sequence=0, the person_id should actually be a company_id. This company_id then applies to all the rows which have the same group_id.
Someone thought it was a good idea to format things this way instead of simply having a company_id column, but it makes trying to select by company very difficult. It would make my programming much easier to simply add this extra column, and fix the formatting.
I want to turn something like this:
+----------+------------+-----------+----------+
| group_id | date | person_id | sequence |
+----------+------------+-----------+----------+
| 1 | 2012-08-31 | 10 | 0 |
| 1 | 2012-08-31 | 11 | 1 |
| 1 | 2012-08-31 | 12 | 2 |
| 2 | 1999-04-16 | 10 | 0 |
| 2 | 1999-04-16 | 21 | 1 |
| 2 | 1999-04-16 | 22 | 2 |
| 2 | 1999-04-16 | 23 | 3 |
| 2 | 1999-04-16 | 24 | 4 |
| 3 | 2001-01-09 | 30 | 0 |
| 3 | 2001-01-09 | 31 | 1 |
| 3 | 2001-01-09 | 11 | 2 |
| 3 | 2001-01-09 | 12 | 3 |
+----------+------------+-----------+----------+
Into this:
+------------+----------+------------+-----------+----------+
| company_id | group_id | date | person_id | sequence |
+------------+----------+------------+-----------+----------+
| 10 | 1 | 2012-08-31 | 11 | 1 |
| 10 | 1 | 2012-08-31 | 12 | 2 |
| 10 | 2 | 1999-04-16 | 21 | 1 |
| 10 | 2 | 1999-04-16 | 22 | 2 |
| 10 | 2 | 1999-04-16 | 23 | 3 |
| 10 | 2 | 1999-04-16 | 24 | 4 |
| 30 | 3 | 2001-01-09 | 31 | 1 |
| 30 | 3 | 2001-01-09 | 11 | 2 |
| 30 | 3 | 2001-01-09 | 12 | 3 |
+------------+----------+------------+-----------+----------+
The only way I can think of how to achieve this is with nested SELECT statements, which are very inefficient considering I have about 100M rows. It's a one time fix though, so I don't mind letting it run overnight.
If you permanently want to change your table to include a company_id column then do this:
First alter the table and add the new column:
alter table your_table add company_id int;
Then update all rows to set the company to the person_id = 0 for the group:
UPDATE your_table a
JOIN your_table b ON a.group_id = b.group_id
SET a.company_id = b.person_id
WHERE b.sequence = 0;
And finally remove the rows with sequence = 0:
DELETE FROM your_table WHERE sequence = 0;
Sample SQL Fiddle
The end result will be:
| group_id | date | person_id | sequence | company_id |
|----------|------------|-----------|----------|------------|
| 1 | 2012-08-31 | 11 | 1 | 10 |
| 1 | 2012-08-31 | 12 | 2 | 10 |
| 2 | 1999-04-16 | 21 | 1 | 10 |
| 2 | 1999-04-16 | 22 | 2 | 10 |
| 2 | 1999-04-16 | 23 | 3 | 10 |
| 2 | 1999-04-16 | 24 | 4 | 10 |
| 3 | 2001-01-09 | 31 | 1 | 30 |
| 3 | 2001-01-09 | 11 | 2 | 30 |
| 3 | 2001-01-09 | 12 | 3 | 30 |
i have a table called rc_language_type_table with:
id language
1 english
2 Xhosa
3 afrikaans
etc
then i have a table rc_language_type_assoc_table with:
profile_id | language_type_id |
+------------+------------------+
| 3 | 1 |
| 13 | 1 |
| 15 | 1 |
| 16 | 1 |
where i have profiles and each profile is connected to a language id in a 1 to many
so then i did:
select *,count(*) from rc_language_type_assoc_table group by language_type_id;
+------------+------------------+----------+
| profile_id | language_type_id | count(*) |
+------------+------------------+----------+
| 3 | 1 | 96 |
| 3 | 2 | 19 |
| 3 | 3 | 18 |
| 64 | 4 | 51 |
| 94 | 5 | 10 |
| 37 | 6 | 26 |
| 3 | 7 | 21 |
| 3 | 8 | 4 |
| 3 | 9 | 6 |
| 88 | 10 | 4 |
| 3 | 11 | 3 |
+------------+------------------+----------+
what i want now is: instead having the language_type_id i want to display the actual language...how would i do this please???
i tried:
select *, count(*)
from rc_language_type_assoc_table, rc_language_type_table
group by language_type_id
where rc_language_type_assoc_table.language_type_id = rc_language_type_table.id;
but i get a syntax error...
please help??
thank you
GROUP BY should be "after" the WHERE statement and not before
select *, count(*)
from rc_language_type_assoc_table, rc_language_type_table
where rc_language_type_assoc_table.language_type_id = rc_language_type_table.id
group by language_type_id ;