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Editorial Team
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Asked: 2026-06-16T03:20:20+00:00

I have a MySQL table with about 9.5K rows, these won’t change much but

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I have a MySQL table with about 9.5K rows, these won’t change much but I may slowly add to them.

I have a process where if someone scans a barcode I have to check if that barcode matches a value in this table. What would be the fastest way to accomplish this? I must mention there is no pattern to these values

Here Are Some Thoughts

  1. Ajax call to PHP file to query MySQL table ( my thoughts would this would be slowest )
  2. Load this MySQL table into an array on log in. Then when scanning Ajax call to PHP file to check the array
  3. Load this table into an array on log in. When viewing the scanning page somehow load that array into a JavaScript array and check with JavaScript. (this seems to me to be the fastest because it eliminates Ajax call and MySQL Query. Would it be efficient to split into smaller arrays so I don’t lag the server & browser?)
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1 Answer

  1. Editorial Team

    Honestly, I’d never load the entire table for anything. All I’d do is make an AJAX request back to a PHP gateway that then queries the database, and returns the result (or nothing). It can be very fast (as it only depends on the latency) and you can cache that result heavily (via memcached, or something like it).

    There’s really no reason to ever load the entire array for “validation”…

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