note 130819 added to function.pack
| From: | Anonymous | Date: | Sun, 14 Jun 2026 23:56:14 +0000 |
| Subject: | note 130819 added to function.pack | ||
| Groups: | php.notes | ||
| Request: | Send a blank email to php-notes+get-222608@lists.php.net to get a copy of this message | ||
Sorry, but i use AI ;-)
Was talking about memory optimisation and performance with Google Gemini. Here is a nice axample for
the \pack function. (And using
\pack and not pack is also performance
related)
If your build tool generates giant in-memory lookup data metrics (like IP routing zones,
geo-location grids, or localized translation indices), do not store them as standard
multidimensional PHP arrays. A PHP array bucket requires massive zval and tracking hash overhead.
Instead, pack the data into raw binary sequences using pack() and look it up via byte offsets with
substr().
The Memory Comparison:
Imagine storing 50,000 coordinate status IDs.
PHP
// â Array Allocation: Takes ~6 Megabytes of RAM
$data = [10023, 10024, 10025, ...];
// ð Packed Binary String: Takes ~200 Kilobytes of RAM (30x less memory)
$packedData = \pack('N*', 10023, 10024, 10025);
How you execute an O(1) read:
Because you packed the integers using the N format (unsigned 32-bit big-endian integers), you know
with absolute mathematical certainty that every single number occupies exactly 4 bytes of space
inside that string.
To read index number 5,000, you don't map arrays. You calculate the direct byte offset
instantly:
PHP
// Direct memory offset extraction via string pointer shifting
$byteOffset = 5000 * 4;
$binarySegment = \substr($packedData, $byteOffset, 4);
// Unpack back to an integer instantly
$unpacked = \unpack('Nid', $binarySegment);
$id = $unpacked['id'];
To the Zend Engine, a string is just a flat, contiguous vector of memory. By using binary packed
strings for deep lookup matrices, you bypass the entire zval architecture. You store raw numbers
directly beside each other in system RAM, making your application footprint incredibly light and
keeping the entire data structure small enough to fit inside the CPU's high-speed L2 or L3
cache lines.
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Manual Page -- https://php.net/manual/en/function.pack.php
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