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<h1>How to Optimize <code>mysql_fetch_array
This reduces PHP memory usage and speeds up loop processing.
Frequent calls to mysql_fetch_array inside loops when handling large datasets can degrade performance. You can optimize by:
When querying very large datasets, fetching all results at once can consume excessive memory. Use LIMIT for pagination:
SELECT id, name FROM users WHERE status='active' LIMIT 0, 1000;
Read a fixed number of records each time, process them in a loop, then fetch the next batch. This reduces memory pressure and improves response speed.
mysql_fetch_array belongs to the mysql_* function series, which is deprecated in PHP. Consider using mysqli or PDO with prepared statements:
$stmt = $mysqli->prepare("SELECT id, name FROM users WHERE status=?");
$stmt->bind_param("s", $status);
$stmt->execute();
$result = $stmt->get_result();
while ($row = $result->fetch_assoc()) {
// Process data
}
The new interfaces not only improve performance but also help prevent SQL injection and enhance security.
Ensure indexes are added to WHERE conditions and JOIN fields. This significantly speeds up MySQL queries and reduces waiting time for mysql_fetch_array loops.
For frequently used data, consider caching in memory (e.g., using Redis or Memcached) to avoid reading from the database every time through mysql_fetch_array. This reduces database load and improves performance.
Optimizing mysql_fetch_array performance is not just about function calls; it involves optimizing the entire data query and processing workflow. By selecting necessary fields, using associative arrays, paginated queries, index optimization, and upgrading database interfaces, you can significantly enhance database query efficiency and overall PHP script performance.