SQL WHERE: Difference between revisions

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<font color=darkkhaki>TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Inequality%20conditions,an%20inequality%20condition%3A</font>
<font color=darkkhaki>TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Inequality%20conditions,an%20inequality%20condition%3A</font>
==Existence Conditions==
<code>EXISTS</code>


==Range Conditions==
==Range Conditions==
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<font color=darkkhaki>TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Using%20regular%20expressions</font>
<font color=darkkhaki>TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Using%20regular%20expressions</font>
==<tt>NULL</tt> in Conditions==
==<tt>NULL</tt> in Conditions==
<font color=darkkhaki>TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Null%3A%20That%20Four-Letter%20Word</font>
To test whether a value is <code>NULL</code> use the <code>IS</code> operator, not <code>=</code>:
Also see: {{Internal|SQL#SQL_NULL|<tt>NULL</tt>}}


=SQL Conditional Logic=
<syntaxhighlight lang='sql'>
 
SELECT * FROM person where name IS NULL;
<font color=darkkhaki>TO PROCESS: https://www.geeksforgeeks.org/sql-conditional-expressions/</font>
</syntaxhighlight>
 
==<tt>CASE</tt>==
 
 
 
<code>CASE</code> provides an IF/ELSE conditional logic that can be used in <code>WHERE</code> clauses.


<font color=darkkhaki>Refactor based on https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch11.html</font>
The following syntax is incorrect, and while will not generate a syntax or runtime error, it will produce invalid results, it will return no rows:
 
<syntaxhighlight lang='sql'>
 
SELECT * FROM person where name = NULL;
 
<syntaxhighlight lang=sql>
CASE <expression>
    WHEN <result_1> THEN <expression>
    WHEN <result_1> THEN <expression>
    ...
    ELSE <expression>
END
</syntaxhighlight>
</syntaxhighlight>


A simple IF/ELSE:
<font color=darkkhaki>TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Null%3A%20That%20Four-Letter%20Word</font>
 
Also see: {{Internal|SQL#SQL_NULL|<tt>NULL</tt>}}
<syntaxhighlight lang=sql>
CASE <expression_that_evaluates_to_true_or_false> WHEN TRUE THEN <if_expression>
ELSE <else_expression>
END
</syntaxhighlight>


Usage example:
=<span id='CASE'></span>SQL Conditional Logic=
<syntaxhighlight lang=sql>
{{Internal|SQL_Conditional_Logic#Overview|SQL Conditional Logic}}
CASE array_length(person.skills, 1) > 0 WHEN TRUE THEN ('skill_we_search_for' = ANY(person.skills))
ELSE 'key_we_search_for' = ANY(general.skills)
END
</syntaxhighlight>

Latest revision as of 21:06, 30 May 2024

Internal

TODO

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html

Overview

The WHERE clause is the mechanism for filtering out unwanted data from the result set. The WHERE clause can be used with SELECT, UPDATE and DELETE, but not with INSERT. The WHERE clause may contain an arbitrary number of filter conditions separated by AND, OR and NOT operators. The filter conditions may be optionally grouped together with parentheses.

[...] WHERE <filter_condition> AND|OR <filter_condition> ...

SELECT * FROM person WHERE person.name = 'Alice' AND (person.eye_color = 'blue' OR person.eye_color = 'black');

Using Parentheses

If the WHERE clause includes three or more conditions combined with AND, OR or NOT, you should use parentheses to make your intent clear.

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Using%20Parentheses

Filter Conditions

A condition is made up of one or more expressions, combined with one or more operators. An expression can be any of the following:

  • A number
  • A column in a table or a view
  • A string literal
  • A built-in function such as CONCAT()
  • A subquery
  • A list of expressions such as ('A', 'B', 'C')

The operators used within conditions include:

  • Comparison operators: =, !=, <, >, <>, LIKE, IN, BETWEEN.
  • Arithmetic operators: +, -, /, *

Equality Conditions

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Equality%20Conditions

Inequality Conditions

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Inequality%20conditions,an%20inequality%20condition%3A

Existence Conditions

EXISTS

Range Conditions

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Range%20Conditions

The BETWEEN Operator

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=The%20between%20operator

String Ranges

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=String%20ranges

Membership Conditions

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Membership%20Conditions

Using Subqueries

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Using%20subqueries

Matching Conditions

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Matching%20Conditions

Using Regular Expressions

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Using%20regular%20expressions

NULL in Conditions

To test whether a value is NULL use the IS operator, not =:

SELECT * FROM person where name IS NULL;

The following syntax is incorrect, and while will not generate a syntax or runtime error, it will produce invalid results, it will return no rows:

SELECT * FROM person where name = NULL;

TO PROCESS: https://learning.oreilly.com/library/view/learning-sql-3rd/9781492057604/ch04.html#:-:text=Null%3A%20That%20Four-Letter%20Word

Also see:

NULL

SQL Conditional Logic

SQL Conditional Logic