How select remaining unspecified columns - mysql

I am looking to overwrite a column name in a table with an existing column name.
I am Looking for a way to get the remaining unspecified columns in the tables.
Note:
The query could have more joins in the future.
eg
Person
+-----------+----------+---------+
| firstname | lastname | pers_id |
+-----------+----------+---------+
| Joe | Soap | 1 |
| Bobby | Pin | 2 |
| Janet | Jackson | 3 |
+-----------+----------+---------+
Category
+----------+-------------------+--------+
| type | description | cat_id |
+----------+-------------------+--------+
| customer | people who pay us | 1 |
| employee | people we pay | 2 |
| director | people who direct | 3 |
+----------+-------------------+--------+
Person_Cat
(=^ェ^=)
+---------+--------+
| pers_id | cat_id |
+---------+--------+
| 3 | 1 |
| 2 | 2 |
| 1 | 3 |
+---------+--------+
Query
SELECT *, CONCAT(p.firstname, ' '
, p.lastname) as full_name
, c.cat_id AS category_id
, p.pers_id AS cat_id
FROM Person AS p
JOIN Person_Cat AS pc ON(p.pers_id = pc.pers_id)
JOIN Category AS c ON (pc.cat_id = c.cat_id)
OUTPUT
(Apologies for the length but the table after is more important)
+-----------+----------+---------+---------+--------+----------+-------------------+--------+---------------+-------------+--------+
| p | p | p | pc | pc | c | c | c | Select | Select | Select |
+-----------+----------+---------+---------+--------+----------+-------------------+--------+---------------+-------------+--------+
| firstname | lastname | pers_id | pers_id | cat_id | type | description | cat_id | full_name | category_id | cat_id |
+-----------+----------+---------+---------+--------+----------+-------------------+--------+---------------+-------------+--------+
| Janet | Jackson | 3 | 3 | 1 | customer | people who pay us | 1 | Janet jackson | 1 | 3 |
| Bobby | Pin | 2 | 2 | 2 | employee | people who we pay | 2 | Bobby Pin | 2 | 2 |
| Joe | Soap | 1 | 1 | 3 | director | people who direct | 3 | Joe Soap | 3 | 1 |
+-----------+----------+---------+---------+--------+----------+-------------------+--------+---------------+-------------+--------+
The headers above column names are there for reference
to where they comes from.
Column summary -
firstname, lastname, pers_id, pers_id, cat_id, type,
description, cat_id, full_name ,category_id, cat_id
Wanted output
+-----------+----------+---------+--------+----------+-------------------+---------------+-------------+--------+
| p | p | pc | pc | c | c | Select | Select | Select |
+-----------+----------+---------+--------+----------+-------------------+---------------+-------------+--------+
| firstname | lastname | pers_id | cat_id | type | description | full_name | category_id | cat_id |
+-----------+----------+---------+--------+----------+-------------------+---------------+-------------+--------+
| Janet | Jackson | 3 | 1 | customer | people who pay us | Janet jackson | 1 | 3 |
| Bobby | Pin | 2 | 2 | employee | people who we pay | Bobby Pin | 2 | 2 |
| Joe | Soap | 1 | 3 | director | people who direct | Joe Soap | 3 | 1 |
+-----------+----------+---------+--------+----------+-------------------+---------------+-------------+--------+
Column summary -
firstname, lastname, pers_id, cat_id, type,
description, full_name ,category_id, cat_id
Notice:
The p.pers_id and the c.cat_id are not present. I would like to think this would be because the were called directly and unmodified unlike the first and lastname used in ConCat

When the short answer is that there is no such concept as Select [remaining columns]at this time (2015-06-17), if you want to use SELECT * but only remove redundant columns,
then you will need to explicitly remove (ignore) those redundant columns when rendering your view.
You will have to explicitly configure logic of which columns to ignore, which is pretty much the same thing as explicitly listing the columns that you are interested in, so you get back to the argument against selecting all columns that I made in the comments above.
Unless your table schema is changing all the time, there really isn't reason for this.

Related

How to bring columns to a table from another table by the Id?

I have this tables People, Ticket, and Report.
+----------+-------+-----+
| idPeople | Name | Age |
+----------+-------+-----+
| 1 | Name1 | 21 |
| 2 | Name2 | 37 |
| 3 | Name3 | 28 |
+----------+-------+-----+
I would like to replace the ForeingKey idPeople with columns Name and Age from People table.
+----------+------------+------------+----------+
| idTicket | ticketCol2 | ticketCol3 | idPeople |
+----------+------------+------------+----------+
| 5 | True | 01/06/99 | 1 |
| 6 | False | 01/06/99 | 2 |
| 7 | True | 01/06/99 | 4 |
+----------+------------+------------+----------+
In the Report table replace the Foreing Key idTicket with ticketCol2, Name, Age from the previous table Ticket with replaced columns (idPeople by Name, Age).
+----------+----------+------------+------------+
| idReport | idTicket | ReportCol3 | ReportCol4 |
+----------+----------+------------+------------+
| 1 | 5 | 01/06/99 | blabla |
| 2 | 7 | 01/06/99 | asdfdd |
| 2 | 6 | 01/06/99 | fooboo |
+----------+----------+------------+------------+
And I the result should be like this table and must be done in one query.
+----------+------------+------------+------------+------------+------+-----+
| idReport | ticketCol2 | ticketCol3 | ReportCol3 | ReportCol4 | Name | Age |
+----------+------------+------------+------------+------------+------+-----+
| 1 | 01/06/99 | abcd | blabla | 123456 | Name | 20 |
| 2 | 01/06/99 | bcda | asdfdd | 321456 | Name | 23 |
| 3 | 01/06/99 | asdf | fooboo | 123456 | Name | 28 |
+----------+------------+------------+------------+------------+------+-----+
I Have tried replacing the foreingkeys with LEFT JOIN and bringing some columns Name and Age to the Ticket table but now the last part where I should replace idTicket with Columns from Ticket is not working.
I have read about the nested JOINs but I cannot understand it very well, I would really appreciate some idea of how I can do it or what should I investigate. Are nested Joins the right way?
The query that I've tried to accomplish the Table Ticket.
SELECT Ticket.ticketCol2, Ticket.ticketCol3, p.Name 'Name', p.Age 'Age'
from Ticket
left join people p on (Ticket.idPeople=p.idPeople);
Try something like this:
SELECT Report.idReport,
Ticket.ticketCol2,
Ticket.ticketCol3,
Report.ReportCol3,
Report.ReportCol4,
People.Name,
People.Age
FROM People
LEFT JOIN Ticket ON Ticket.idPeople = People.idPeople
LEFT JOIN Report ON Report.idTicket = Ticket.idTicket
Like #RiggsFolly said, the Ticket.idPeople won´t match to the People.idPeople, so this will not match any rows.

MySQL combining outer joins

For this question I have created a simple example that illustrates what I am asking.
Say I had a table called 'books'
+----+----------------------------+-----------+
| pk | title | author_id |
+----+----------------------------+-----------+
| 1 | The Lost Symbol | 1 |
| 2 | Follow Us Home | 2 |
| 3 | The Man in the High Castle | 3 |
+----+----------------------------+-----------+
(table a)
And another table called 'shops', that had a list of shops that sold each book:
+----+---------+-------------+-------+
| pk | book_id | shop_name | price |
+----+---------+-------------+-------+
| 1 | 1 | WHSmith | 5.00 |
| 2 | 1 | Waterstones | 7.00 |
| 3 | 1 | Amazon | 2.50 |
| 4 | 2 | WHSmith | 4.00 |
| 5 | 2 | Borders | 4.50 |
+----+---------+-------------+-------+
(table b)
If I do a simple select that grabs a book and all of the places it is sold using a join such as:
SELECT
books.*,
shops.shop_name,
shops.price
FROM
books
JOIN shops ON books.pk = shops.book_id
WHERE
book.book_name = "The Lost Symbol"
I would get results such as below:
+----+-----------------+-----------+-------------+-------+
| pk | title | author_id | shop_name | price |
+----+-----------------+-----------+-------------+-------+
| 1 | The Lost Symbol | 1 | WHSmith | 5.00 |
| 1 | The Lost Symbol | 1 | Waterstones | 7.00 |
| 1 | The Lost Symbol | 1 | Amazon | 2.50 |
+----+-----------------+-----------+-------------+-------+
(table c)
However, I would LIKE to receive results like this:
+----+-----------------+-----------+-------------+-------+
| pk | title | author_id | shop_name | price |
+----+-----------------+-----------+-------------+-------+
| 1 | The Lost Symbol | 1 | NULL | NULL |
| 1 | The Lost Symbol | 1 | WHSmith | 5.00 |
| 1 | The Lost Symbol | 1 | Waterstones | 7.00 |
| 1 | The Lost Symbol | 1 | Amazon | 2.50 |
+----+-----------------+-----------+-------------+-------+
(table d)
I.e. the first row is just the result of left outer join and the rest of the results are the the inner join.
An even more desired outcome is:
+------+-----------------+-----------+-------------+-------+
| pk | title | author_id | shop_name | price |
+------+-----------------+-----------+-------------+-------+
| 1 | The Lost Symbol | 1 | NULL | NULL |
| NULL | NULL | NULL | WHSmith | 5.00 |
| NULL | NULL | NULL | Waterstones | 7.00 |
| NULL | NULL | NULL | Amazon | 2.50 |
+------+-----------------+-----------+-------------+-------+
(table e)
Having shop_name and price concatenated and grouped in a single row seems not to work as it only does the first result from shops instead of all of them, also in my real world scenario, I have punctuation in the data so have to be careful with the separator.
So how would I get the result of table e?
You can use UNION ALL to build the required result set:
SELECT pk, title, author_id, NULL AS shop_name, NULL AS price
FROM books
WHERE books.title = "The Lost Symbol"
UNION ALL
SELECT NULL AS pk, NULL AS title, NULL AS author_id, shops.shop_name, shops.price
FROM books
JOIN shops ON books.pk = shops.book_id
WHERE books.title = "The Lost Symbol"
The first part of the union operation returns the first row of the result, i.e. the book title. The second part returns the rest of the rows, i.e.the shop names.
Demo here

Correct SQL statement for 3 tables query

Please be assured that I searched a lot on SE for an answer similar to mine but didn't get any good result and here I am asking for some help.
I have 3 tables as follows:
Table Professors:
+---------+--------+
| idProf | name |
+---------+--------+
| 1 | Ben |
| 2 | John |
| 3 | Bob |
+---------+--------+
Table Classes:
+---------+--------+------------+
| idClass | name | profRefId |
+---------+--------+------------+
| 1 | French | 1 |
| 2 | English| 1 |
| 3 | German | 3 |
| 4 | Science| 2 |
+---------+--------+------------+
Table Lessons:
+----------+----------+--------------+
| idLesson | name | classRefId |
+----------+----------+--------------+
| 1 | Lesson1 | 1 |
| 2 | Lesson2 | 1 |
| 3 | Lesson3 | 2 |
| 4 | Lesson4 | 4 |
| 5 | Lesson5 | 4 |
| 6 | Lesson6 | 3 |
+----------+----------+--------------+
Now, what I was struggling to achieve is:
I pass idProf as a URL parameter ($_GET['idProf'])
And I would like the right SQL statement based on that param to list all the classes for that professor and inside each class list its lessons.
Something that will look like this on a webpage:
Something like this?
SELECT a.name ProfessorName, b.name ClassName, c.name LessonName
FROM Professors a
INNER JOIN Classes b
ON a.idProf=b.profRefID
INNER JOIN Lessons c
ON b.idClass=c.classRefID

sql query to find users with at least 2 types of accounts

I'm new to relational sql. I'm trying to figure out a query to return the names of customers who have more than one type of account.
customers:
+------------+--------------+
| cid | Name |
+------------+--------------+
| 1 | Bob |
| 2 | John |
| 3 | Jane |
+------------+--------------+
accounts:
+------------+--------------+
| aid | type |
+------------+--------------+
| 1 | Checking |
| 2 | Saving |
| 3 | CD |
+------------+--------------+
transactions:
+------------+--------------+--------------+
| tid | cid | aid |
+------------+--------------+--------------+
| 1 | 1 | 1 |
| 2 | 2 | 1 |
| 3 | 1 | 2 |
| 4 | 2 | 3 |
| 5 | 3 | 1 |
+------------+--------------+--------------+
With these tables, the query should return Bob and John. I'm having some trouble with how to write such a query. More specifically, how do I keep count of how many accounts a customer has and how do I compare if the accounts are different without adding a new column to the table?
Okay, this seems to work in SQL Fiddle with my test data structure. Try it out with your real data structure and see if it gives you what you're looking for.
SELECT name FROM customers c WHERE EXISTS(
SELECT DISTINCT aid FROM transactions
WHERE cid = c.cid
HAVING COUNT(DISTINCT aid)>1
)

mysql - join problem

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