Topic 113 of 119 14. Additional Java Topics Interactive Tutorial

Java Regular Expressions: Pattern and Matcher for Text Processing

9 mins read Last updated: 22 Aug 2026 16,549 views

Direct Answer & Core Concept

Regular expressions, commonly called regex, provide a powerful way to search, validate, extract, split, and replace text based on patterns. Java includes built-in regular expression support through the java.util.regex package.

The two most important classes are Pattern and Matcher. Pattern represents a compiled regular expression, while Matcher applies that pattern to a particular text string.

Whether you need to validate an email address, find numbers inside a sentence, extract hashtags, check a password format, or replace unwanted characters, Java regex can make text processing much easier.

Detailed Explanation & Mechanics

What Are Regular Expressions in Java?

A regular expression is a sequence of characters that describes a text pattern. Instead of checking every character manually, you define what the desired text should look like.

For example, the regex \\d+ means "one or more digits." It can find values such as 123, 45, or 2026 inside larger text.

Java regular expressions are especially useful when the text follows a recognizable structure.

Common Uses of Regex

Regular expressions are commonly used for:

  • Email and phone-number validation

  • Username and password rules

  • Searching text

  • Extracting numbers or words

  • Replacing unwanted characters

  • Checking input formats

  • Splitting text

  • Finding repeated patterns

  • Basic data cleaning


Java Regular Expression Package

Java provides regex functionality through the java.util.regex package.

The two primary classes are:

ClassPurpose
PatternCompiles a regular expression
MatcherSearches or matches text using a Pattern

Import them with:

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import java.util.regex.Pattern;
import java.util.regex.Matcher;

For simple operations, Java's String class also provides methods such as matches(), replaceAll(), and split() that internally use regular-expression functionality.


Understanding the Pattern Class

The Pattern class represents a compiled regular expression.

You normally create a Pattern using:

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Pattern.compile("regex");

Example:

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import java.util.regex.Pattern;
public class Main {
    public static void main(String[] args) {
        Pattern pattern = Pattern.compile("\\d+");
        System.out.println(pattern);
    }
}

Here:

means one or more digits.

Why Compile a Pattern?

A compiled Pattern can be reused against multiple input strings.

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Pattern pattern = Pattern.compile("\\d+");
Matcher first = pattern.matcher("Order 123");
Matcher second = pattern.matcher("Order 456");

This is useful when the same regular expression must be applied repeatedly.


Understanding the Matcher Class

The Matcher class performs matching operations against a specific character sequence.

You create a matcher from a pattern:

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Matcher matcher = pattern.matcher(text);

Example:

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import java.util.regex.Pattern;
import java.util.regex.Matcher;
public class Main {
    public static void main(String[] args) {
        Pattern pattern = Pattern.compile("\\d+");
        Matcher matcher = pattern.matcher("Order number is 123");
        if (matcher.find()) {
            System.out.println("Number found");
        }
    }
}

The important difference is:

  • Pattern describes what to search for.

  • Matcher works with where to search.


Pattern Matching with matches()

The matches() method checks whether the entire input matches the regular expression.

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Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher("12345");
System.out.println(matcher.matches());

Output:

But:

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Matcher matcher = pattern.matcher("Order 12345");
System.out.println(matcher.matches());

Output:

The entire string is not made only of digits.

Important Difference

matches() asks:

Does the complete input match this pattern?

find() asks:

Can I find a matching portion somewhere inside the input?


Finding Text with find()

The find() method searches for the next matching portion of the input.

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Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher("Products: 25, 50 and 100");
while (matcher.find()) {
    System.out.println(matcher.group());
}

Output:

This is one of the most useful regex techniques for extracting information from text.


Getting the Matched Text with group()

After a successful match, group() returns the text that matched the pattern.

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Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher("Price: 499");
if (matcher.find()) {
    System.out.println(matcher.group());
}

Output:

You can also use:

group(0) represents the complete match.


Getting Match Positions with start() and end()

The start() method returns the starting index of a match.

The end() method returns the index immediately after the matched text.

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Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher("Price: 499");
if (matcher.find()) {
    System.out.println("Match: " + matcher.group());
    System.out.println("Start: " + matcher.start());
    System.out.println("End: " + matcher.end());
}

For the string:

the output will identify the position where 499 occurs.

Remember that end() is exclusive.


Common Regex Metacharacters

Regular expressions use special characters to describe patterns.

RegexMeaning
.Any character except line terminators by default
^Beginning of input
$End of input
*Zero or more
+One or more
?Zero or one
{n}Exactly n occurrences
{n,m}Between n and m occurrences
[]Character class
()Capturing group
``OR
\dDigit
\DNon-digit
\sWhitespace
\SNon-whitespace
\wWord character
\WNon-word character

Java String Escaping in Regular Expressions

One of the most confusing parts of Java regex is the use of backslashes.

Java strings use \ as an escape character, and regular expressions also use \ for special sequences.

Therefore, a regex such as:

is usually written in Java as:

For example:

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Pattern pattern = Pattern.compile("\\d+");

Here:

  • Java processes \\ into a single backslash.

  • The regex engine receives \d+.

Example

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String regex = "\\d{
  4
}
";

This means:

Match exactly four digits.

It can match:


Character Classes

Character classes let you specify which characters are allowed.

For example:

matches one character that is either a, b, or c.

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Pattern pattern = Pattern.compile("[abc]+");
Matcher matcher = pattern.matcher("abcab");
System.out.println(matcher.matches());

Output:

You can also define ranges.

means lowercase letters from a through z.

means uppercase letters.

means digits.


Using the Dot Character

The dot . represents a character in most ordinary situations.

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Pattern pattern = Pattern.compile("c.t");
Matcher matcher = pattern.matcher("cat");
System.out.println(matcher.matches());

Output:

The same pattern can match:

because the middle character can vary.


Quantifiers in Java Regex

Quantifiers specify how many times a pattern can occur.

* — Zero or More

can match:

+ — One or More

requires at least one a.

? — Zero or One

can match:

{n} — Exact Number

matches exactly four digits.

{n,m} — Range

matches between two and four digits.


Greedy and Reluctant Quantifiers

Java regex quantifiers are generally greedy by default. A greedy quantifier attempts to consume as much text as possible while still allowing the overall pattern to match.

For example:

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Pattern pattern = Pattern.compile("<.*>");
Matcher matcher = pattern.matcher("<b>Hello</b>");
if (matcher.find()) {
    System.out.println(matcher.group());
}

The .* portion can consume a large part of the input.

A reluctant quantifier adds ?:

This asks the regex engine to consume as little as possible while still allowing the pattern to match.

For example:

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Pattern pattern = Pattern.compile("<.*?>");
Matcher matcher = pattern.matcher("<b>Hello</b>");
while (matcher.find()) {
    System.out.println(matcher.group());
}

This can identify the individual tag-like portions:

Regex should not be treated as a complete HTML parser, but this example demonstrates greedy versus reluctant matching.


Capturing Groups

Parentheses create capturing groups.

Consider:

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Pattern pattern = Pattern.compile("(\\d{
  4
}
)-(\\d{
  2
}
)-(\\d{
  2
}
)");

This can match:

The groups represent:

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Group 1 → 2026Group 2 → 10Group 3 → 03

Example:

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String text = "Date: 2026-10-03";
Pattern pattern = Pattern.compile("(\\d{4})-(\\d{2})-(\\d{2})");
Matcher matcher = pattern.matcher(text);
if (matcher.find()) {
    System.out.println("Year: " + matcher.group(1));
    System.out.println("Month: " + matcher.group(2));
    System.out.println("Day: " + matcher.group(3));
}

Output:

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Year: 2026Month: 10Day: 03

Named Capturing Groups

Java also supports named capturing groups.

The syntax is:

Example:

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String text = "John,25";
Pattern pattern = Pattern.compile( "(?<name>[A-Za-z]+),(?<age>\\d+)");
Matcher matcher = pattern.matcher(text);
if (matcher.find()) {
    System.out.println(matcher.group("name"));
    System.out.println(matcher.group("age"));
}

Output:

Named groups can make complex regular expressions easier to understand.


OR Operator in Regular Expressions

The | operator means OR.

For example:

matches either:

or:

Java example:

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Pattern pattern = Pattern.compile("cat|dog");
Matcher matcher = pattern.matcher("I have a dog");
if (matcher.find()) {
    System.out.println(matcher.group());
}

Output:

Parentheses are useful when applying an operator to multiple alternatives.

can match:


Checking an Email Address with Regex

A simple email validation pattern can be written as:

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String regex = "^[A-Za-z0-9+_.-]+@[A-Za-z0-9.-]+$";
String email = "user@example.com";
boolean valid = Pattern.matches(regex, email);
System.out.println(valid);

Output:

This demonstrates basic structural validation.

However, email syntax has many edge cases, so a simple regex should not be treated as a complete implementation of every valid email standard.


Validating a Phone Number

Suppose your application expects exactly 10 digits:

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String regex = "\\d{10}";
String phone = "9876543210";
System.out.println(Pattern.matches(regex, phone));

Output:

A value such as:

will not match.

If your application accepts country codes, spaces, brackets, or hyphens, the regex needs to reflect those requirements.


Extracting Numbers from Text

Regex is useful when numbers are mixed with ordinary text.

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String text = "There are 25 apples and 10 oranges.";
Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher(text);
while (matcher.find()) {
    System.out.println(matcher.group());
}

Output:

This technique is useful for extracting IDs, quantities, years, prices, and other numeric values.


Extracting Words

You can use \\w+ to find word-like sequences.

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String text = "Java makes text processing easier.";
Pattern pattern = Pattern.compile("\\w+");
Matcher matcher = pattern.matcher(text);
while (matcher.find()) {
    System.out.println(matcher.group());
}

This finds sequences of word characters.

For natural-language text, remember that \w is not necessarily equivalent to "every possible human-language word." For internationalized text, choose your pattern and flags carefully.


Replacing Text with Regex

The Matcher class provides replacement methods such as:

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replaceAll()replaceFirst()

Example:

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String text = "Java 123 is powerful 456";
Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher(text);
String result = matcher.replaceAll("#");
System.out.println(result);

Output:


Replacing Only the First Match

Use replaceFirst() when only the first matching portion should be replaced.

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String text = "Java 123 and 456";
Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher(text);
String result = matcher.replaceFirst("#");
System.out.println(result);

Output:

This is useful when you need targeted replacement instead of replacing every occurrence.


Splitting Text with Regular Expressions

The String.split() method can accept a regular expression.

For example:

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String text = "Java,Python;PHP|C++";
String[] languages = text.split("[,;|]");
for (String language : languages) {
    System.out.println(language);
}

Output:

The character class:

means a comma, semicolon, or pipe character can act as a separator.


Using Pattern.matches()

For a simple complete-string check, you don't always need to create a Matcher manually.

You can use:

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Pattern.matches(regex, input);

Example:

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String regex = "\\d+";
String value = "12345";
boolean result = Pattern.matches(regex, value);
System.out.println(result);

Output:

This is convenient for one-off checks.

When repeatedly applying the same regex, explicitly compiling and reusing a Pattern can be more appropriate.


Regex Flags

Java supports flags that modify matching behavior.

One common flag is:

Example:

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Pattern pattern = Pattern.compile( "java", Pattern.CASE_INSENSITIVE);
Matcher matcher = pattern.matcher("JAVA");
System.out.println(matcher.find());

Output:

Other useful flags include:

FlagPurpose
CASE_INSENSITIVEIgnore case differences
MULTILINEChange behavior of ^ and $ for lines
DOTALLAllow . to match line terminators
COMMENTSAllow whitespace/comments in patterns
UNICODE_CASEUnicode-aware case folding with case-insensitive matching
UNICODE_CHARACTER_CLASSEnables Unicode-aware predefined character classes

Flags can also be combined.

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Pattern pattern = Pattern.compile( "^java$", Pattern.CASE_INSENSITIVE);

Anchors: ^ and $

Anchors define positions rather than consuming characters.

^ represents the beginning of the input, while $ represents the end of the input.

Example:

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String regex = "^Java$";
System.out.println(Pattern.matches(regex, "Java"));

Output:

But:

does not match because the complete input is not exactly Java.

With MULTILINE, the behavior of these anchors changes so they can operate relative to individual lines.


Using Matcher.find() in a Loop

When searching for multiple matches, find() is commonly used in a loop.

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String text = "ID: 100, ID: 200, ID: 300";
Pattern pattern = Pattern.compile("\\d+");
Matcher matcher = pattern.matcher(text);
while (matcher.find()) {
    System.out.println( "Found " + matcher.group() + " at " + matcher.start());
}

This approach lets you retrieve both the matching text and its location.


Reusing a Pattern

If the same regex is used repeatedly, compile it once.

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Pattern numberPattern = Pattern.compile("\\d+");
String[] values = {
    "Order 100", "Order 200", "Order 300"
};
for (String value : values) {
    Matcher matcher = numberPattern.matcher(value);
    if (matcher.find()) {
        System.out.println(matcher.group());
    }
}

The same Pattern is reused for multiple input strings.

This separates the reusable pattern definition from the individual input being searched.


Pattern and Matcher: Important Difference

A common beginner mistake is treating Pattern and Matcher as the same thing.

They have different responsibilities.

FeaturePatternMatcher
Represents regexYesNo
Represents input textNoYes
Compiles regexYesNo
Searches inputNoYes
find()NoYes
matches()NoYes
group()NoYes
start()NoYes
end()NoYes

Think of it this way:

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Pattern → What am I looking for?Matcher → Where am I looking?

Complete Java Regex Example

The following example extracts all email-like strings from a sentence:

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import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class Main {
    public static void main(String[] args) {
        String text = """
                Contact john@example.com
                or support@example.org
                for help.
                """;
        String regex = "[A-Za-z0-9+_.-]+@[A-Za-z0-9.-]+";
        Pattern pattern = Pattern.compile(regex);
        Matcher matcher = pattern.matcher(text);
        while (matcher.find()) {
            System.out.println("Email: " + matcher.group());
        }
    }
}

Possible output:

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Email: john@example.comEmail: support@example.org

This example demonstrates the standard Java regex workflow:

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1. Create the regex2. Compile it into Pattern3. Create Matcher for input4. Search with find()5. Retrieve matches with group()

Common Java Regex Mistakes

1. Forgetting Java String Escaping

Incorrect:

Correct:

Java requires the backslash to be escaped inside a normal string literal.


2. Confusing matches() with find()

This:

checks the entire input.

This:

searches for a matching section.

Choosing the wrong method is one of the most common regex bugs.


3. Assuming Regex Validates Everything

A regex can validate a defined structure, but complicated real-world formats can have many edge cases.

For example, email validation, URLs, dates, and international phone numbers can become surprisingly complex.

Use regex for the structural rules your application actually needs.


4. Creating Extremely Complicated Regex

A huge regular expression may technically work but become difficult to maintain.

Prefer several clear validation steps when the business rule is complex.

Readable code is usually easier to test and modify.


5. Ignoring Performance

Some poorly designed regex patterns can cause excessive backtracking on certain inputs.

Be especially careful with nested or overlapping quantifiers such as:

For patterns processing large or untrusted input, test performance and avoid unnecessarily ambiguous expressions.


Java Regex Best Practices

Compile Reusable Patterns

If the same regex is used repeatedly, keep a reusable Pattern.

Use Descriptive Regex Variables

Instead of:

prefer:

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String numberRegex = "\\d+";

This makes the code easier to understand.

Prefer Simple Patterns

Do not create an extremely complicated regex when several straightforward checks would be clearer.

Test Edge Cases

Test empty strings, unexpected characters, Unicode text, long input, and boundary cases.

Be Careful with User Input

Regex applied to untrusted and very large input should be designed with performance in mind.

Use Existing APIs When They Are Better

Regex is powerful, but it is not always the best tool. For structured data such as JSON, XML, or HTML, dedicated parsers are generally preferable.


Regex Cheat Sheet for Java

PatternMeaningExample
\\dDigit5
\\d+One or more digits123
\\d{4}Exactly four digits2026
\\sWhitespacespace
\\wWord characterA
[A-Z]Uppercase letterJ
[a-z]Lowercase lettera
[0-9]Digit8
.Any character in normal modea
^Start positionbeginning
$End positionending
*Zero or moreaaa
+One or moreaaa
?Zero or onea
{2,4}2 to 4 occurrences123
``OR`catdog`
()Capturing group(\\d+)

When Should You Use Pattern and Matcher?

Use Pattern and Matcher when you need more control over regular-expression processing.

They are especially useful for:

  • Extracting multiple matches

  • Accessing capture groups

  • Finding match positions

  • Reusing compiled patterns

  • Applying regex flags

  • Performing controlled replacements

  • Processing large amounts of structured text

For a simple one-time check, Pattern.matches() or String.matches() may be enough.


Java Regular Expressions vs String Methods

Not every text-processing problem requires regex.

For simple exact operations, normal String methods can be easier:

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text.contains("Java");
text.startsWith("Java");
text.endsWith("Java");
text.replace("Java", "Python");

Regex becomes more useful when the pattern itself is variable.

For example:

can locate any sequence of digits without knowing the actual number beforehand.


Frequently Asked Questions

What is regex in Java?

Regex, or regular expression, is a pattern language used to search, validate, extract, split, and replace text. Java provides regex support mainly through Pattern and Matcher.

What is the difference between Pattern and Matcher?

Pattern represents a compiled regular expression. Matcher applies that pattern to a specific input sequence and provides operations such as find(), matches(), group(), start(), and end().

What does find() do in Java regex?

find() searches the input for the next portion that matches the pattern. It can be called repeatedly to find multiple matches.

What does matches() do?

matches() attempts to match the entire input against the regular expression.

Why do I write \\d instead of \d in Java?

Because the Java string literal needs the backslash escaped. The regex engine ultimately receives \d.

How do I extract multiple matches?

Use Matcher.find() inside a loop and retrieve each match with matcher.group().

Can Java regex extract numbers?

Yes. A pattern such as:

can locate sequences of digits in text.

Can Java regex validate email addresses?

Yes, regex can validate a defined email-like structure. However, a simple pattern should not be assumed to cover every valid email address according to all email standards.

Is Pattern thread-safe?

Pattern instances are designed to be immutable and can be safely shared. Matcher instances maintain matching state and should generally be created separately for separate matching operations.

Is regex good for parsing HTML?

Regex can find simple text patterns, but HTML has nested and contextual structure. A dedicated HTML parser is generally more appropriate for reliably parsing HTML documents.

Graphics and Design Ideas

Graphic 1 — Pattern vs Matcher

Create a simple two-column diagram:

Architecture Diagram
┌────────────────────┐       ┌────────────────────┐
│      Pattern       │       │      Matcher       │
├────────────────────┤       ├────────────────────┤
│ Compiled regex     │ ───→  │ Searches text      │
│ "\\d+"             │       │ "Order 123"        │
└────────────────────┘       └────────────────────┘

Graphic 2 — Regex Processing Flow

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Regex↓Pattern.compile()↓Pattern↓pattern.matcher(text)↓Matcher↓find() / matches()↓group()

Graphic 3 — Regex Cheat Sheet

Design a compact visual containing:

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\d Digit\s Whitespace\w Word character+ One or more* Zero or more? Optional[] Character class() Capturing group^ Start$ End| OR

Graphic 4 — Find Multiple Matches

Show:

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Input:"Order 100, Order 200, Order 300"↓Regex:\d+↓Matches:100200300

These graphics can be used as custom illustrations or featured images for a Java regular-expression tutorial page.

Runnable Code Example: Java Regular Expressions

Java 17+
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import java.util.regex.Pattern;
import java.util.regex.Matcher;
public class RegexDemo {
    private static final Pattern EMAIL_PATTERN = Pattern.compile("^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,6}$");
    public static boolean isValidEmail(String email) {
        if (email == null) return false;
        return EMAIL_PATTERN.matcher(email).matches();
    } public static void main(String[] args) {
        System.out.println("Valid email: " + isValidEmail("user@example.com"));
        // true
        System.out.println("Invalid email: " + isValidEmail("user_at_example"));
        // false
    }
}

Common Java Technical Interview Questions & Answers

Interview Prep
Q1

Why should Pattern instances be stored as static final fields?

Compiling a regex into a Pattern is computationally expensive; caching the compiled Pattern avoids recompiling it on every request.
Q2

What is the difference between matcher.matches() and matcher.find()?

matches() tests if the ENTIRE input matches the pattern; find() searches for the NEXT subsequence that matches.

Key Takeaways, Best Practices & Clean Code Rules

Java Best Practice & Production Rules

Always pre-compile regex patterns into static final Pattern constants rather than repeatedly calling String.matches() inside loops.