Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learn SQL Database Programming

You're reading from   Learn SQL Database Programming Query and manipulate databases from popular relational database servers using SQL

Arrow left icon
Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838984762
Length 564 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Josephine Bush Josephine Bush
Author Profile Icon Josephine Bush
Josephine Bush
Arrow right icon
View More author details
Toc

Table of Contents (24) Chapters Close

Preface 1. Section 1: Database Fundamentals
2. Introduction to Relational Database Management Systems FREE CHAPTER 3. Installing and Using MySQL Workbench 4. Understanding Data Types 5. Designing and Creating a Database 6. Importing and Exporting Data 7. Section 2: Basic SQL Querying
8. Querying a Single Table 9. Querying Multiple Tables 10. Modifying Data and Table Structures 11. Section 3: Advanced SQL Querying
12. Working with Expressions 13. Grouping and Summarizing Data 14. Advanced Querying Techniques 15. Programmable Objects 16. Section 4: Presenting Your Findings
17. Exploring and Processing Your Data 18. Telling a Story with Your Data 19. Section 5: SQL Best Practices
20. Best Practices for Designing and Querying 21. SQL Appendix 22. Assessments 23. Other Books You May Enjoy

Using the HAVING clause

The HAVING clause is used to filter the GROUP BY results. The following code shows the HAVING syntax, where the WHERE and ORDER BY clauses are optional:

SELECT column(s) 
FROM table
WHERE condition(s)
GROUP BY columns(s)
HAVING condition(s)
ORDER BY column(s);

Learning how to use the HAVING clause to limit query results

Let's say you needed to see the results of running the GROUP BY clause in the previous section, but where the sum of at-bats is greater than 100. This is when you would use a HAVING clause, as shown in the following query:

USE lahmansbaseballdb; 
SELECT playerid, teamid, sum(AB) AS sum_at_bats
FROM batting
GROUP BY playerid, teamid
HAVING sum_at_bats > 100;

The following screenshot...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £16.99/month. Cancel anytime