QGIS/resources/function_help/hamming_distance

<h3>hamming_distance function</h3>
Returns the Hamming distance between two strings. This equates to the number of characters at
corresponding positions within the input strings where the characters are different. The input
strings must be the same length, and the comparison is case-sensitive.

<h4>Syntax</h4>
<pre>hamming_distance(string1,string2)</pre>

<h4>Arguments</h4>
string1 &rarr; a string<br />
string2 &rarr; a string<br />

<h4>Example</h4>
<pre> hamming_distance('abc','xec') &rarr; 2</pre><br />
<pre> hamming_distance('abc','ABc') &rarr; 2</pre><br />
<pre> hamming_distance(upper('abc'),upper('ABC')) &rarr; 0</pre>
Add a bunch of optimised fuzzy string matching algorithms. A new QgsStringUtils class has been added containing some common fuzzy matching algorithms, including Levenshtein edit distance and Soundex. These can be used for finding "similar" strings in a table. Expression functions for these algorithms have also been added to a new "Fuzzy Matching" group. 2015-06-27 11:27:59 +10:00			`<h3>hamming_distance function</h3>`
			`Returns the Hamming distance between two strings. This equates to the number of characters at`
			`corresponding positions within the input strings where the characters are different. The input`
			`strings must be the same length, and the comparison is case-sensitive.`

			`<h4>Syntax</h4>`
			`<pre>hamming_distance(string1,string2)</pre>`

			`<h4>Arguments</h4>`
			`string1 → a string<br />`
			`string2 → a string<br />`

			`<h4>Example</h4>`
			`<pre> hamming_distance('abc','xec') → 2</pre><br />`
			`<pre> hamming_distance('abc','ABc') → 2</pre><br />`
			`<pre> hamming_distance(upper('abc'),upper('ABC')) → 0</pre>`