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  • Book Overview & Buying Building a Web Application with PHP and MariaDB: A Reference Guide
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Building a Web Application with PHP and MariaDB: A Reference Guide

Building a Web Application with PHP and MariaDB: A Reference Guide

By : Sai S Sriparasa
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Building a Web Application with PHP and MariaDB: A Reference Guide

Building a Web Application with PHP and MariaDB: A Reference Guide

4.3 (3)
By: Sai S Sriparasa

Overview of this book

This is a step-by-step, tutorial guide designed to help readers transition from beginners to more experienced developers using clear explanations. The variety of examples will help readers build, secure, and host real-time web applications. If you are a developer who wants to use PHP and MariaDB to build web applications, this book is ideal for you. Beginners can use this book to start with the basics and learn how to build and host web applications. Seasoned PHP Developers can use this book to get familiar with the new features of PHP 5.4 and 5.5, unit testing, caching, security, and performance optimization.
Table of Contents (12 chapters)
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11
Index

Filtering data

Until now, we have dealt with data retrieval where all the data in the students table is being retrieved, but seldom do we need all that data. We have used the LIMIT and OFFSET clauses that have allowed us to limit the amount of data were retrieved. Now let us use MariaDB's filtering mechanism to retrieve the data by supplying search criteria. To perform a search in a SQL statement, we will use the WHERE clause. The WHERE clause can be used with the SELECT statement, or it can be even used with the UPDATE and DELETE statements, which will be discussed in the next section:

Filtering data

In the preceding example, we are selecting the students' records whose last_name is Dane.

Filtering data

In the preceding example, we are selecting the students' records whose student_id is 1.

Filtering data

In the preceding example, we are selecting the students' records whose student_id is greater than 1.

Filtering data

In the preceding example, we are selecting the students' records whose student_id is less than 4.

Filtering data

In the preceding example, we are selecting the students' records whose student_id is between 1 and 4, the between clause is inclusive, so the records with student_id 1 and 4 are also retrieved. The following table lists the common operators that can be used for data filtering:

Operator

Explanation

Comment

=

Filters and returns data where the criterion has an exact match.

 

!=

Filters and returns data where the criterion doesn't have an exact match.

 

<>

Filters and returns data where the criterion doesn't have an exact match.

This is same as above, based on preference, either notations can be used for inequality.

>

Filters and returns data where the data is greater than the value in the criterion.

 

>=

Filters and returns data where the data is greater than or equal to the value in the criterion.

 

<

Filters and returns data where the data is lesser than the value in the criterion.

 

<=

Filters and returns data where the data is lesser than or equal to the criterion.

 

IS NULL

Filters and returns the rows where the specified column has no data.

 

IS NOT NULL

Filters and returns the rows where the specified column has some data.

 

BETWEEN

Filters and returns data where the data is part of the specified range.

This uses the keywords BETWEEN, and AND.

Data can also be filtered by utilizing multiple search criteria by using the AND and OR operators, by employing multiple column search criteria, by using wildcard filtering, by using the IN operator, and so on. As this chapter will only deal with basic filtering, we will not be covering these advanced filtering concepts. The basic filtering in this chapter can be used as a foundation to delve deeper into understanding the advanced concepts of filtering.

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