I have a table name= wspollokator
-----------------
| user1 | user2 |
-----------------
| 1 | 3 |
-----------------
| 3 | 1 |
-----------------
| 7 | 0 |
-----------------
| 8 | 10 |
-----------------
| 9 | 0 |
-----------------
| 10 | 8 |
-----------------
I know how to display it like above:
SELECT p1.user1, p1.user2
FROM wspollokator p1
LEFT JOIN wspollokator p2 ON p1.user1 = p2.user2
WHERE p1.user1 <> p1.user2
but this is a relational table only with user ids
in another table name: zakwalifikowani
I have firstnames and lastnames of user1 and user2. The key is user1 user2
---------------------------------------------------
|firstname1 | lastname1 | firstname2 | lastname2 |
---------------------------------------------------
| Tom | Hopkins | Mike | Ariston |
---------------------------------------------------
| Mike | Ariston | Tom | Hopkins |
---------------------------------------------------
| Marlon | Nickolson | | |
---------------------------------------------------
| John | Nash | Jason | Lin |
---------------------------------------------------
| Johny | Bride | | |
---------------------------------------------------
| Jason | Lin | John | Nash |
---------------------------------------------------
How can I use columns user1 and user2 to display it like above? I think that I need use query above because this query allow me to connect people into pairs
You need a "foreign key" in table zakwalifikowani before you can join "user1=1" on "firstname1=Tom" (for example).
I am going to assume that your first query is really:
SELECT p1.user1, p1.user
FROM wspollokator p1
WHERE p1.user1 <> p1.user2;
The left join does nothing for the query.
To get names, you want two joins. Here is an example:
SELECT w1.FirstName as FirstName1, w1.LastName as LastName1,
w2.FirstName as FirstName2, w2.LastName as LastName2
FROM wspollokator p1 LEFT JOIN
zakwalifikowani w1
ON p1.user1 = w1.user LEFT JOIN
zakwalifikowani w2
ON p1.user2 = w2.user
WHERE p1.user1 <> p1.user2;
Related
I have two MySQL tables (table_a and table_b) and a join table (table_c).
Table Structures:
table_a:
__________________
| table_a: |
|----------------|
| id |
| result_column |
------------------
table_b:
__________________
| table_b: |
|----------------|
| id |
| name |
------------------
table_c:
__________________
| table_c: |
|----------------|
| id |
| table_a_id |
| table_b_id |
------------------
My Goal:
I want to find a query that will:
Iterate over every table_a record and get the table_a.id value
Find any records in table_c which have a matching table_c.table_a_id value
For each matching record in table_c get the table_c.table_b_id value
Find the record in table_b which has a matching table_b.id value
For that matching record in table_b get the table_b.name value
In table_a, concatenate each matched name value into the corresponding table_a.result_column
Example:
Before the Query:
_______________________ _________________________________ ________________
| table_a: | | table_c: | | table_b: |
|---------------------| |-------------------------------| |--------------|
| id | result_column | | id | table_a_id | table_b_id | | id | name |
|-----|---------------| |-----|------------|------------| |-----|--------|
| 1 | | | 1 | 1 | 3 | | 1 | Kevin |
| 2 | | | 2 | 1 | 4 | | 2 | Jesse |
| 3 | | | 3 | 2 | 2 | | 3 | Karen |
----------------------- | 4 | 3 | 1 | | 4 | Tim |
| 5 | 3 | 5 | | 5 | Lauren |
--------------------------------- ----------------
After the Query:
_______________________ _________________________________ ________________
| table_a: | | table_c: | | table_b: |
|---------------------| |-------------------------------| |--------------|
| id | result_column | | id | table_a_id | table_b_id | | id | name |
|-----|---------------| |-----|------------|------------| |-----|--------|
| 1 | Karen, Tim | | 1 | 1 | 3 | | 1 | Kevin |
| 2 | Jesse | | 2 | 1 | 4 | | 2 | Jesse |
| 3 | Kevin, Lauren | | 3 | 2 | 2 | | 3 | Karen |
----------------------- | 4 | 3 | 1 | | 4 | Tim |
| 5 | 3 | 5 | | 5 | Lauren |
--------------------------------- ----------------
For absolute clarity, I understand that this is incredibly bad practice within a relational data-table. This is as far from normalization as one can get. I would never design a database like this. I was tasked with creating a custom column with a list of values purely for a business case.
The query you seem to want is:
select c.table_a_id, group_concat(b.name separator ', ')
from c join
b
on c.table_b_id = b.id
group by c.table_a_id;
If you actually want to update a, you can put this into an update statement:
update a join
(select c.table_a_id, group_concat(b.name separator ', ') as names
from c join
b
on c.table_b_id = b.id
group by c.table_a_id
) cb
on cb.table_a_id = a.id
set result_column = cb.names
Previous answer is close; but you also required that you only want the records matched in table C that are in A.
The first query does not meet this requirement; but the update statement does, as it will only update records in table A, if the id matches the table_a_id value pulled from table C.
Given what you said you wished for the end result, the update statement above would work.
If you wish to be explicit in your logic, just add a join from table A to table C.
select a.id, group_concat(b.name separator ', ')
from a
join c ON (a.id = c.table_a_id)
join b ON (c.table_b_id = b.id)
group by a.id;
Join two table MySQL query return all user list values.
Please correct this query or provide some query.
Table1 : users
+---------+------------+-----------+
| user_id | user_name | cource_id |
+---------+------------+-----------+
| 1 | ramalingam | 1,2,3,4 |
| 2 | yuvi | 1 |
| 3 | Saravanan | 1,2,3 |
| 4 | gandhi | 1 |
+---------+------------+-----------+
Table2 : course
+-----------+-------------+
| cource_id | cource_name |
+-----------+-------------+
| 1 | php |
| 2 | wordpress |
| 3 | seo |
| 4 | magento |
+-----------+-------------+
Output
--------------------------------------
user_id | user_name | cource_id
--------------------------------------
1 | ramalingam| php,wordpress,seo,magnto
2 | yuvi | php
3 | Saravanan | php,wordpress,seo
4 | gandhi | php
This my query
SELECT u.user_id,u.user_name, GROUP_CONCAT(c.cource_name)as course_name
FROM users as u
LEFT JOIN course as c ON c.cource_id = u.user_id
Thank you for any help I can get on this...
In general DB design is bad, don't use comma separated lists at all. Hovewer you should use FIND_IN_SET() in your JOIN clause in order to achieve this:
SELECT
u.user_id,
u.user_name,
GROUP_CONCAT(c.cource_name) AS course_name
FROM
users AS u
LEFT JOIN cource AS c ON FIND_IN_SET(c.cource_id, u.cource_id)
GROUP BY
u.user_id,
u.user_name
Output is:
+---------+------------+---------------------------+
| user_id | user_name | course_name |
+---------+------------+---------------------------+
| 1 | ramalingam | php,wordpress,seo,magento |
| 2 | yuvi | php |
| 3 | Saravanan | php,wordpress,seo |
| 4 | gandhi | php |
+---------+------------+---------------------------+
4 rows in set
This question is a little long so that it would be clear, thanks in advance!
Introduction
I currently have 3 tables using a many-to-many relationship. I need to query all 3 tables and combine them into 1 table.
Problem
I have tried this query:
SELECT * FROM `login` LEFT JOIN membership ON login.id = membership.login_id UNION SELECT * FROM `login` RIGHT JOIN membership ON login.id = membership.login_id
And it returns:
+----+------+----------+
| id | name | group_id |
+----+------+----------+
| 1 | Tom | 6 |
| 2 | John | 8 |
| 3 | Jane | 4 |
+----+------+----------+
Question
I need it to also include the group_name. This is my desired output:
+----+------+----------+------------+
| id | name | group_id | group_name |
+----+------+----------+------------+
| 1 | Tom | 6 | Red |
| 2 | John | 8 | Brown |
| 3 | Jane | 4 | Purple |
+----+------+----------+------------+
Tables
login Table
A list of all users with auto-increment id
+----+------+
| id | name |
+----+------+
| 1 | Tom |
| 2 | John |
| 3 | Jane |
+----+------+
group Table
A list of all groups with the group_id and group_name
+----------+------------+
| group_id | group_name |
+----------+------------+
| 1 | Green |
| 2 | Blue |
| 3 | Yellow |
| 4 | Purple |
| 5 | Orange |
| 6 | Red |
| 7 | Pink |
| 8 | Brown |
+----------+------------+
membership Table
Stores information on which user belongs to which group
+----------+----------+
| login_id | group_id |
+----------+----------+
| 1 | 6 |
| 2 | 8 |
| 3 | 4 |
+----------+----------+
Join the group table as well and select the required fields from the tables.
SELECT l.id,l.name,m.group_id,g.group_name
FROM `login` l
LEFT JOIN `membership` m ON l.id = m.login_id
LEFT JOIN `group` g on g.group_id = m.group_id
Try this... :)
SELECT
`login`.`id`,
`login`.`name`,
`group`.`group_id`,
`group`.`group_name`
FROM
`membership`
INNER JOIN `login` ON (`membership`.`login_id` = `login`.`id`)
INNER JOIN `group` ON (`membership`.`group_id` = `group`.`group_id`)
I have 3 tables to join and need some help to make it work, this is my schema:
donations:
+--------------------+------------+
| uid | amount | date |
+---------+----------+------------+
| 1 | 20 | 2013-10-10 |
| 2 | 5 | 2013-10-03 |
| 2 | 50 | 2013-09-25 |
| 2 | 5 | 2013-10-01 |
+---------+----------+------------+
users:
+----+------------+
| id | username |
+----+------------+
| 1 | rob |
| 2 | mike |
+----+------------+
causes:
+--------------------+------------+
| id | uid | cause | <missing cid (cause id)
+---------+----------+------------+
| 1 | 1 | stop war |
| 2 | 2 | love |
| 3 | 2 | hate |
| 4 | 2 | love |
+---------+----------+------------+
Result I want (data cropped for reading purposes)
+---------+-------------+---------+-------------+
| id | username | amount | cause |
+---------+-------------+---------+-------------+
| 1 | rob | 20 | stop war |
| 2 | mike | 5 | love |
+---------+-------------+-----------------------+
etc...
This is my current query, but returns double data:
SELECT i.*, t.cause as tag_name
FROM users i
INNER JOIN donations tti ON (tti.uid = i.id)
INNER JOIN causes t ON (t.uid = tti.uid)
EDIT: fixed sql schema on fiddle
http://sqlfiddle.com/#!2/0e06c/1 schema and data
How I can do this?
It seems your table's model is not right. There should be a relation between the Causes and Donations.
If not when you do your joins you will get duplicated rows.
For instance. Your model could look like this:
Donations
+--------------------+------------+
| uid | amount | date | causeId
+---------+----------+------------+
| 1 | 20 | 2013-10-10 | 1
| 2 | 5 | 2013-10-03 | 2
| 2 | 50 | 2013-09-25 | 3
| 2 | 5 | 2013-10-01 | 2
+---------+----------+------------+
causes:
+----------------------+
| id | cause |
+---------+------------+
| 1 | stop war |
| 2 | love |
| 3 | hate |
+---------+------------+
And the right query then should be this
SELECT i.*, t.cause as tag_name
FROM users i
INNER JOIN donations tti ON (tti.uid = i.id)
INNER JOIN causes t ON (t.id = tti.causeId)
Try this
SELECT CONCAT(i.username ,' ',i.first_name) `name`,
SUM(tti.amount),
t.cause AS tag_name
FROM users i
LEFT JOIN donations tti ON (tti.uid = i.id)
INNER JOIN causes t ON (t.uid = tti.uid)
GROUP BY i.id
Fiddle
You need to match the id from both the users and causes table at the same time, like so:
SELECT i.*, t.cause as tag_name
FROM users i
INNER JOIN donations tti ON (tti.uid = i.id)
INNER JOIN causes t ON (t.uid = tti.uid and t.id = i.id)
Apologies for formatting, I'm typing this on a phone.
I have two tables like below,
mysql> select * from Books ;
+----+------+------------+----------+----------+
| id | name | author_name| category | category2|
+----+------+------------+----------+----------+
| 1 | 1 | Steve | CT001 | CT003 |
| 2 | 2 | John | CT002 | CT002 |
| 3 | 3 | Larry | CT003 | CT002 |
| 4 | 3 | Michael | CT004 | CT004 |
| 5 | NULL | Steven | CT005 | CT005 |
+----+------+------------+----------+----------+
mysql> select * from Codemst ;
+----+------+------------+
| id | code | name |
+----+------+------------+
| 1 | CT001| fiction |
| 2 | CT002| category1 |
| 3 | CT003| etc |
| 4 | CT004| etc2 |
| 5 | CT005| etc3 |
+----+------+------------+
I want to get human readable category name when I query like "select * from Books;"
If there was only one category in the Books table, I think I can use "Join" but, in this case what can I do?
select * from Books b
Inner Join Codemst c1 on b.category = c1.code
inner join codemst c2 on b.category2 = c2.code;
c1.name will hold the readable category, and c2.name the readable category2