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Building Full-Text Search with PHP and MySQL

MySQL full-text indexes let applications search tokenized text using MATCH ... AGAINST. Token lengths, stopwords, collation and index types affect results; do not interpolate search terms into SQL.

1 views Published Oct 17, 2026 Updated Oct 17, 2026 admin

MySQL full-text indexes let applications search tokenized text using MATCH ... AGAINST.

The examples focus on the operation itself, including the important distinction: LIKE matches simple patterns; FULLTEXT ranks tokenized documents.

What It Does


Use the examples below to observe the behavior on a small dataset before extending it to application code.

Before You Start


The examples use PHP 8.2+ features where shown. Database snippets require the corresponding PDO driver, demo tables, and credentials configured outside source code.

Example 1: Basic Use


Requires a FULLTEXT index on articles(title, body); tokenization, stopwords and engine affect matching.

<?php
$pdo = new PDO(
    "mysql:host=" . (getenv("DB_HOST") ?: "127.0.0.1") . ";dbname=" . (getenv("DB_NAME") ?: "demo") . ";charset=utf8mb4",
    getenv("DB_USER") ?: "app",
    getenv("DB_PASSWORD") ?: "",
    [PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION, PDO::ATTR_EMULATE_PREPARES => false]
);
$term = 'database';
$stmt = $pdo->prepare("SELECT id, title, MATCH(title, body) AGAINST(:term IN NATURAL LANGUAGE MODE) AS score FROM articles WHERE MATCH(title, body) AGAINST(:term IN NATURAL LANGUAGE MODE) ORDER BY score DESC LIMIT 10");
$stmt->execute(["term" => $term]);
echo json_encode($stmt->fetchAll(PDO::FETCH_ASSOC));

This example is meant for a configured application environment; output depends on the installed extension, external service, or database contents.

Example 2: Checking Behavior


Requires a FULLTEXT index on articles(title, body); tokenization, stopwords and engine affect matching.

<?php
$pdo = new PDO(
    "mysql:host=" . (getenv("DB_HOST") ?: "127.0.0.1") . ";dbname=" . (getenv("DB_NAME") ?: "demo") . ";charset=utf8mb4",
    getenv("DB_USER") ?: "app",
    getenv("DB_PASSWORD") ?: "",
    [PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION, PDO::ATTR_EMULATE_PREPARES => false]
);
$term = 'queue';
$stmt = $pdo->prepare("SELECT id, title, MATCH(title, body) AGAINST(:term IN NATURAL LANGUAGE MODE) AS score FROM articles WHERE MATCH(title, body) AGAINST(:term IN NATURAL LANGUAGE MODE) ORDER BY score DESC LIMIT 10");
$stmt->execute(["term" => $term]);
echo json_encode($stmt->fetchAll(PDO::FETCH_ASSOC));

This example is meant for a configured application environment; output depends on the installed extension, external service, or database contents.

Example 3: Practical Example


Requires a FULLTEXT index on articles(title, body); tokenization, stopwords and engine affect matching.

<?php
$pdo = new PDO(
    "mysql:host=" . (getenv("DB_HOST") ?: "127.0.0.1") . ";dbname=" . (getenv("DB_NAME") ?: "demo") . ";charset=utf8mb4",
    getenv("DB_USER") ?: "app",
    getenv("DB_PASSWORD") ?: "",
    [PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION, PDO::ATTR_EMULATE_PREPARES => false]
);
$term = 'scheduler';
$stmt = $pdo->prepare("SELECT id, title, MATCH(title, body) AGAINST(:term IN NATURAL LANGUAGE MODE) AS score FROM articles WHERE MATCH(title, body) AGAINST(:term IN NATURAL LANGUAGE MODE) ORDER BY score DESC LIMIT 10");
$stmt->execute(["term" => $term]);
echo json_encode($stmt->fetchAll(PDO::FETCH_ASSOC));

This example is meant for a configured application environment; output depends on the installed extension, external service, or database contents.

Important Behavior and Edge Cases


Token lengths, stopwords, collation and index types affect results; do not interpolate search terms into SQL.

Comparison with Related Approaches


ApproachDifference
Building Full-Text Search with PHP and MySQLMySQL full-text indexes let applications search tokenized text using MATCH ... AGAINST.
Related API or alternativeLIKE matches simple patterns; FULLTEXT ranks tokenized documents.

Common Beginner Mistakes


MistakeCorrect approach
Ignoring the operation-specific limitsToken lengths, stopwords, collation and index types affect results; do not interpolate search terms into SQL.
Confusing it with a related APILIKE matches simple patterns; FULLTEXT ranks tokenized documents.

Key Takeaways


  • MySQL full-text indexes let applications search tokenized text using MATCH ... AGAINST.
  • Token lengths, stopwords, collation and index types affect results; do not interpolate search terms into SQL.
  • LIKE matches simple patterns; FULLTEXT ranks tokenized documents.

Use Building Full-Text Search with PHP and MySQL when its documented behavior matches the problem. Test the relevant edge cases in your own runtime before deploying it.

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