Please note, this is a STATIC archive of website www.w3resource.com from 19 Jul 2022, cach3.com does not collect or store any user information, there is no "phishing" involved.
w3resource

SQL exercises on hospital Database: Find out the floor where the minimum no of rooms are available

SQL hospital Database: Exercise-27 with Solution

27. From the following table, write a SQL query to find the floor where the minimum numbers of rooms are available. Return floor ID as "Floor", Number of available rooms.

Sample table: room


Sample Solution:

SELECT blockfloor as "Floor",
       count(*) AS  "No of available rooms"
FROM room
WHERE unavailable='false'
GROUP BY blockfloor
HAVING count(*) =
  (SELECT min(zz) AS highest_total
   FROM
     ( SELECT blockfloor ,
              count(*) AS zz
      FROM room
      WHERE unavailable='false'
      GROUP BY blockfloor ) AS t );

Sample Output:

 Floor | No of available rooms
-------+-----------------------
     3 |                     7
     4 |                     7
     2 |                     7
(3 rows)

Practice Online


E R Diagram of Hospital Database:

E R Diagram: SQL Hospital Database.

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: From the following table, write a SQL query to find the floor where the maximum numbers of rooms are available. Return floor ID as "Floor", count "Number of available rooms".
Next: From the following tables, write a SQL query to find the name of the patients, their block, floor, and room number where they admitted.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



SQL: Tips of the Day

SQL Server SELECT into existing table.

INSERT INTO dbo.TABLETWO
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:

INSERT INTO dbo.TABLETWO
  (col1, col2)
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

Database: SQL Server

Ref: https://bit.ly/3y6tpA3