I am trying to develop a query to run across multiple tables, then run multiple count functions with specific criteria for each. It seemed simplest to first pull all the data into an alias table, then use this table to pull all the date from (which may not be the simplest way, however I am limited in my knowledge).
For a simple example I have tables, user, shop, staff, shop_staff
user
id | name
=========
1 | John
2 | Kate
3 | Lisa
shop
id | store |assigned_user_id
=========================
S1 | Coffee Shop | 1
S2 | Pizza Shop | 2
S3 | Restaurant | 3
S4 | Take Away | 1
staff
id | trainer
=========
1 | Will
2 | Ben
3 | Jack
shop_staff
id | storeid | trainerid
====================
A | S1 | 1
A | S2 | 1
A | S2 | 2
A | S3 | 3
A | S4 | 3
I pull all the data required into an alias table, Alt, using this segment of in the final query to give the resulting table below.
id | store | name | trainer
================================
S1 | Coffee Shop | John | Will
S2 | Pizza Shop | Kate | Will
S2 | Pizza Shop | Kate | Ben
S3 | Restaurant | Lisa | Ben
S4 | Take Away | John | Jack
I then use the following code to display a list of the total number stores and trainers a user has linked to them. Stores must be distinct, and stores and trainers have some criteria to the search.
name | trainer | store
=============
John | 1 | 2
Kate | 2 | 1
Lisa | 1 | NULL
The result I want is above, however obviously this does not occur as the two criteria statements need to both be filled in the code I wrote.
What I want to do is have the first criteria only apply to the store count, and the second only apply to the trainer count.
Unsure how to do this. Hopefully that all makes sense. Thanks for any help!
For a simple example I have tables, user, shop, staff, shop_staff
user
id | name
=========
1 | John
2 | Kate
3 | Lisa
shop
id | store |assigned_user_id
=========================
S1 | Coffee Shop | 1
S2 | Pizza Shop | 2
S3 | Restaurant | 3
S4 | Take Away | 1
staff
id | trainer
=========
1 | Will
2 | Ben
3 | Jack
shop_staff
id | storeid | trainerid
====================
A | S1 | 1
A | S2 | 1
A | S2 | 2
A | S3 | 3
A | S4 | 3
I pull all the data required into an alias table, Alt, using this segment of in the final query to give the resulting table below.
Code:
SELECT shop.id ,
shop.store,
user.name ,
staff.trainer
FROM user
INNER JOIN shop
ON user.id = shop.assigned_user_id
INNER JOIN shop_trainer
ON shop.id = shop_staff.storeid
INNER JOIN trainer
ON shop.staff_trainerid = trainer.idid | store | name | trainer
================================
S1 | Coffee Shop | John | Will
S2 | Pizza Shop | Kate | Will
S2 | Pizza Shop | Kate | Ben
S3 | Restaurant | Lisa | Ben
S4 | Take Away | John | Jack
I then use the following code to display a list of the total number stores and trainers a user has linked to them. Stores must be distinct, and stores and trainers have some criteria to the search.
Code:
SELECT DISTINCT Alt.name ,
COUNT (Alt.trainer),
COUNT(DISTINCT Alt.store)
FROM (SELECT shop.id ,
shop.store,
user.name ,
staff.trainer
FROM user
INNER JOIN shop
ON user.id = shop.assigned_user_id
INNER JOIN shop_trainer
ON shop.id = shop_staff.storeid
INNER JOIN trainer
ON shop.staff_trainerid = trainer.id
)
AS Alt
WHERE Alt.store IN ('Coffee Shop',
'Pizza Shop' ,
'Take Away')
AND Alt.trainer IN ('Will',
'Ben')
GROUP BY Alt.name=============
John | 1 | 2
Kate | 2 | 1
Lisa | 1 | NULL
The result I want is above, however obviously this does not occur as the two criteria statements need to both be filled in the code I wrote.
What I want to do is have the first criteria only apply to the store count, and the second only apply to the trainer count.
Unsure how to do this. Hopefully that all makes sense. Thanks for any help!