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How to use regular expressions in Java

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Release: 2023-06-15 21:14:28
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Java is a popular programming language that provides powerful regular expression tools that can improve efficiency when processing strings. A regular expression is a pattern that describes a set of strings and can be used to perform pattern matching, find, and replace operations. In the following article, we will learn how to use regular expressions in Java.

  1. Regular expression syntax

Java's regular expressions are based on the regular expression syntax of the Perl language and include some Java-unique syntax. Regular expressions are composed of characters and special characters, where special characters have different meanings. The following are some commonly used special characters and their meanings:

  • ^: Matches the beginning of the string
  • $: Matches the end of the string
  • .: Matches any single character , except newline characters
  • d: Matches numeric characters
  • D: Matches non-numeric characters
  • s: Matches space characters
  • S: Matches non-space characters
  • w: Matches letters, numbers, or underscore characters
  • W: Matches non-letters, numbers, or underscore characters
  • []: Matches any character within square brackets
  • [^]: Match any character not within square brackets
  • (): Create a capturing group to distinguish subexpressions in the match
  • |: Logical OR operation character, match one of the expressions
  • *: match 0 or more adjacent characters
  • : match 1 or more adjacent characters
  • ?: match 0 or 1 adjacent character
  • {n}: Match n adjacent characters
  • {n,}: Match n or more adjacent characters
  • { n,m}: Match n to m adjacent characters
  1. Regular expression class in Java

Java provides two main regular expressions Expression classes: Pattern and Matcher. The Pattern class is used to compile regular expressions and return a Pattern object, while the Matcher class is used to perform matching operations.

Use the compile() method of the Pattern class to compile the regular expression and return the Pattern object. Then, we can use the matcher() method of the Pattern object to create a Matcher object and call the Matcher object's method to perform the matching operation. The following is a simple example:

String patternString = "hello";
String testString = "Hello, world!";
Pattern pattern = Pattern.compile(patternString);
Matcher matcher = pattern.matcher(testString);
boolean matches = matcher.matches();
System.out.println(matches); // false
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In the above example, we created a Pattern object to match the string "hello", and then used the Pattern object to create a Matcher object to match the string "Hello, world!". Since the characters in the string do not exactly match the regular expression, the matches() method returns false.

In addition to the matches() method, the Matcher class also provides other methods, including:

  • find(): Find the next match
  • group(): Returns the matching result in the capture group
  • start(): Returns the starting index of the match
  • end(): Returns the end index of the match
  1. Usage scenarios of regular expressions

Regular expressions have a wide range of application scenarios in Java, including:

  • Verification of input data format: such as verification of email address, phone number Are the formats of numbers, URLs, etc. correct?
  • Extract data: For example, extract URL, phone number, zip code and other data from text.
  • Replace data: For example, replace certain keywords in the text with other content.
  • Search text: For example, search for something in a text editor.
  • Filter data: For example, filter out specific records from log files.
  1. Notes

Although regular expressions are widely used in Java, there are some things you need to pay attention to when using them. For example:

  • Regular expressions may be difficult to understand and maintain, so we can first use online regular expression testing tools to practice and debug, such as regex101.com, regexr.com, etc.
  • When processing complex regular expressions, backtracking problems may occur, resulting in a very long matching time. For this case we can use laziness or pre-search to avoid backtracking.
  • In some specific scenarios, such as when searching and replacing large-scale text, processing efficiency may be affected. In order to improve efficiency, we can use regular expression-related libraries, such as Apache Lucene, etc.

Summary

Regular expressions are a powerful tool that can improve efficiency when processing strings. In Java, we can use Pattern and Matcher classes to compile and execute regular expressions. You need to pay attention to regular expression syntax and precautions when using it to ensure correct matching and improve efficiency.

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