En Java, Regex ou expression régulière est une interface de programme d'application qui permet de définir un modèle pour rechercher, manipuler et modifier des chaînes. Les expressions régulières Java sont largement utilisées dans la validation des mots de passe et des e-mails. Ces expressions sont fournies par le package java.util.regex et se composent de 1 interface et de 3 classes.
Les trois classes sont :
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Java Regex possède une interface appelée MatchResultInterface qui aide à déterminer le résultat de l'opération de correspondance de l'expression régulière.
Voyons comment écrire une expression régulière en Java à l'aide d'un programme.
Code :
//Java program to demonstrate regular expressions
import java.util.regex.*;
public class RegExamples {
public static void main(String args[]){
String A = " Happiness is " + " within yourself";
String B = ".*within.*";
// checks whether the string A contains the word 'within' and stores the result in matchcheck
boolean matchcheck = Pattern.matches(B, A);
//prints the result
System.out.println("Is there any string 'within' in the text ? \n " + matchcheck);
} }Sortie :
Il existe 3 méthodes couramment utilisées dans les expressions régulières.
Les méthodes d'index offrent des valeurs d'index qui aident à montrer précisément où la correspondance a été trouvée dans la chaîne donnée en entrée.
| Method | Description |
| start() | The previous match’s start index is returned. |
| start(int group) | Given the group’s previous match operation, the subsequence is captured and returned. |
| end() | The offset after matching the last character is returned. |
| End(int group) | Given the group’s previous match operation, subsequence is captured and offset after matching its last character returned. |
| Method | Description |
| lookingAt() | Match the sequence given as input against the pattern from the beginning of the region. |
| find() | Finds the next subsequence of the sequence given as input against the pattern from the beginning of the region. |
| find(int start) | Resets the matcher and then finds the next subsequence of the sequence given as input against the specified index pattern. |
| matches() | Matches content against the pattern. |
Méthode
| Method | Description |
| appendReplacement(StringBuffer s, String replacement) | A non-terminal append and replacement step will be implemented. |
| appendTail(StringBuffer s) | A terminal append and replacement step will be implemented. |
| replaceAll(String replacement) | Replace all subsequence of the sequence given as input that matches against the pattern with a replacement string. |
| quoteReplacement(String s) | A literal replacement string will be returned for the mentioned string. |
| replaceFirst(String replacement) | Replace the first subsequence of the sequence given as input that matches the pattern with a replacement string. |
There are several ways in which a regular expression can be defined.
Suppose a string “hai” has to be searched in the text “hai”.
It can be done using syntax.
Pattern.matches("hai", "hai")It matches every single character in the text given as input against multiple permitted characters in the character class.
The following are the various class constructs.
| Character Class | Explanation |
| [pqr] | Matches the text if it contains either p, q or r, and it should be only once. |
| [^pqr] | ^ denotes the negation, and due to that, here, single character except for p, q, or r are taken. |
| [a-zA-Z] | a to z and A to Z are considered. |
| [a-d[p-s]] | a to d, or p to s. |
| [a-dm-p] | Union of both ranges. |
| [a-z&&[pqr]] | a to z and (p, q or r). |
| [a-z&&[^pq]] | a to z and also, p, q are not considered. |
| [ad-z] | Performs the subtraction. |
| [a-z&&[^m-p]] | a to z and not m to p. |
Metacharacters act like shortcodes in the regular expression.
The following are some of the metacharacters commonly used.
| Regular Expression | Explanation |
| \d | Any digit from 0 to 9. It can be written as [0-9] as well. |
| \D | Any non-digit from 0 to 9. It can be written as [^0-9] as well. |
| \s | Whitespace character or [\t\n\x0B\f\r]. |
| \S | Non whitespace character or [^\s]. |
| \w | Word character or [a-zA-Z_0-9]. |
| \W | Non-word character or [^\w]. |
| \b | Word boundary. |
| \B | Non-word boundary. |
Quantifiers mention the count of occurrence of each character to match against the string.
| Regular Expression | Explanation |
| a? | It occurs once or not at all. |
| A* | A occurs 0 or more times. |
| A+ | A occurs 1 or more times. |
| A{n} | A occurs exactly n times. |
| A{n,} | A occurs n or more than that. |
| A{n,m} | A occurs at least n times, but it should not be more than m times. |
Now, let us see a java program with the above-mentioned regular expressions.
Code:
//Java program to demonstrate regular expressions
import java.util.regex.*;
public class RegExamples {
public static void main(String args[]){
String str="hai";
// Returns true if string 1 matches string 2
System.out.println("Returns true if 'hai' matches 'Hai' :"+
Pattern.matches(str, "Hai")); //False
//Returns true if Hai or hai matches parameter 2
System.out.println("Returns true if 'Hai' or 'hai' matches 'Hai' : "+
Pattern.matches("[Hh]ai", "Hai")); //True
// Returns true if the string matches exactly "ann" or "Ann" or "jak" or "Jak"
System.out.println("Returns true if the string matches exactly 'ann' or 'Ann' or 'jak' or 'Jak' with 'Ann' : "+
Pattern.matches("[aA]nn|[jJ]ak", "Ann"));//True
//returns true if the string contains "with" at any place in the string
System.out.println("returns true if the string contains 'with' in the string 'within' : " +
Pattern.matches(".*with.*", "within"));//True
// returns true if the '9448anna' does not have number in the beginning
System.out.println( "returns true if the '9448anna' does not have number in the beginning : "+
Pattern.matches("^[^\\d].*", "9448anna")); //False
System.out.println("returns true if the '9448anna' does not have number in the beginning : " +
Pattern.matches("^[^\\d].*", "anna9448")); //True
}
}Output:
Java Regular Expressions are widely used for real-time applications such as password and email verification. These expressions are APIs that define patterns and offer searching, editing, and several other operations in the string.
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