SQL - HAVING vs. WHERE

SqlWhere ClauseHaving

Sql Problem Overview


I have the following two tables:

1. Lecturers (LectID, Fname, Lname, degree).
2. Lecturers_Specialization (LectID, Expertise).

I want to find the lecturer with the most Specialization. When I try this, it is not working:

SELECT
  L.LectID, 
  Fname, 
  Lname 
FROM Lecturers L, 
     Lecturers_Specialization S
WHERE L.LectID = S.LectID
AND COUNT(S.Expertise) >= ALL (SELECT
  COUNT(Expertise)
FROM Lecturers_Specialization
GROUP BY LectID);

But when I try this, it works:

SELECT
  L.LectID,
  Fname,
  Lname 
FROM Lecturers L,
     Lecturers_Specialization S
WHERE L.LectID = S.LectID
GROUP BY L.LectID,
         Fname,
         Lname 
HAVING COUNT(S.Expertise) >= ALL (SELECT
  COUNT(Expertise)
FROM Lecturers_Specialization
GROUP BY LectID); 

What is the reason? Thanks.

Sql Solutions


Solution 1 - Sql

WHERE clause introduces a condition on individual rows; HAVING clause introduces a condition on aggregations, i.e. results of selection where a single result, such as count, average, min, max, or sum, has been produced from multiple rows. Your query calls for a second kind of condition (i.e. a condition on an aggregation) hence HAVING works correctly.

As a rule of thumb, use WHERE before GROUP BY and HAVING after GROUP BY. It is a rather primitive rule, but it is useful in more than 90% of the cases.

While you're at it, you may want to re-write your query using ANSI version of the join:

SELECT  L.LectID, Fname, Lname
FROM Lecturers L
JOIN Lecturers_Specialization S ON L.LectID=S.LectID
GROUP BY L.LectID, Fname, Lname
HAVING COUNT(S.Expertise)>=ALL
(SELECT COUNT(Expertise) FROM Lecturers_Specialization GROUP BY LectID)

This would eliminate WHERE that was used as a theta join condition.

Solution 2 - Sql

First we should know the order of execution of Clauses i.e FROM > WHERE > GROUP BY > HAVING > DISTINCT > SELECT > ORDER BY. Since WHERE Clause gets executed before GROUP BY Clause the records cannot be filtered by applying WHERE to a GROUP BY applied records.

"HAVING is same as the WHERE clause but is applied on grouped records".

first the WHERE clause fetches the records based on the condition then the GROUP BY clause groups them accordingly and then the HAVING clause fetches the group records based on the having condition.

Solution 3 - Sql

HAVING operates on aggregates. Since COUNT is an aggregate function, you can't use it in a WHERE clause.

Here's some reading from MSDN on aggregate functions.

Solution 4 - Sql

  1. WHERE clause can be used with SELECT, INSERT, and UPDATE statements, whereas HAVING can be used only with SELECT statement.

  2. WHERE filters rows before aggregation (GROUP BY), whereas HAVING filter groups after aggregations are performed.

  3. Aggregate function cannot be used in WHERE clause unless it is in a subquery contained in HAVING clause, whereas aggregate functions can be used in HAVING clause.

Source

Solution 5 - Sql

Didn't see an example of both in one query. So this example might help.

  /**
INTERNATIONAL_ORDERS - table of orders by company by location by day
companyId, country, city, total, date
**/

SELECT country, city, sum(total) totalCityOrders 
FROM INTERNATIONAL_ORDERS with (nolock)
WHERE companyId = 884501253109
GROUP BY country, city
HAVING country = 'MX'
ORDER BY sum(total) DESC

This filters the table first by the companyId, then groups it (by country and city) and additionally filters it down to just city aggregations of Mexico. The companyId was not needed in the aggregation but we were able to use WHERE to filter out just the rows we wanted before using GROUP BY.

Solution 6 - Sql

You can not use where clause with aggregate functions because where fetch records on the basis of condition, it goes into table record by record and then fetch record on the basis of condition we have give. So that time we can not where clause. While having clause works on the resultSet which we finally get after running a query.

Example query:

select empName, sum(Bonus) 
from employees 
order by empName 
having sum(Bonus) > 5000;

This will store the resultSet in a temporary memory, then having clause will perform its work. So we can easily use aggregate functions here.

Solution 7 - Sql

We can use aggregate function with HAVING clause not by WHERE clause e.g. min,max,avg.

WHERE clause eliminates the record tuple by tuple HAVING clause eliminates entire group from the collection of group

Mostly HAVING is used when you have groups of data and WHERE is used when you have data in rows.

Solution 8 - Sql

WHERE clause is used to eliminate the tuples in a relation,and HAVING clause is used to eliminate the groups in a relation.

HAVING clause is used for aggregate functions such as MIN,MAX,COUNT,SUM .But always use GROUP BY clause before HAVING clause to minimize the error.

Solution 9 - Sql

Both WHERE and HAVING are used to filter data. In case of a WHERE statement, data filtering happens before you pull the data for operation.

SELECT name, age 
FROM employees
WHERE age > 30;

Here the WHERE clause filters rows before the SELECT operation is performed.

SELECT department, avg(age) avg_age
FROM employees
GROUP BY department
HAVING avg_age> 35;

HAVING filters the data after the SELECT operation is performed. Here the operation of computing (aggregation) is done first and then a filter is applied to the result using a HAVING clause.

Attributions

All content for this solution is sourced from the original question on Stackoverflow.

The content on this page is licensed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

Content TypeOriginal AuthorOriginal Content on Stackoverflow
QuestionAdam ShView Question on Stackoverflow
Solution 1 - SqlSergey KalinichenkoView Answer on Stackoverflow
Solution 2 - SqlPardhuView Answer on Stackoverflow
Solution 3 - SqlDaniel MannView Answer on Stackoverflow
Solution 4 - SqlVenkata Krishna ReddyView Answer on Stackoverflow
Solution 5 - SqlNhanView Answer on Stackoverflow
Solution 6 - SqlAkash5288View Answer on Stackoverflow
Solution 7 - SqlMihir TrivediView Answer on Stackoverflow
Solution 8 - SqlDoddi girishView Answer on Stackoverflow
Solution 9 - SqlMithun ManoharView Answer on Stackoverflow