perf(laravel): Caching tables and indexes to avoid multiple queries #6744
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…fault cache driver
| /** @var array<int, mixed> $indexes */ | ||
| $indexes = Cache::flexible('api-platform.indexes.'.$table, [5, 10], function () use ($schema, $table) { | ||
| return $schema->getIndexes($table); | ||
| }); |
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Interesting change, note also #6735. We already have a cache layer so that this isn't called more then once per metadata computation in production mode.
This cache is stored in memory ? File ? How do you make sure it's not stale ?
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@soyuka the storage engine of the cache is configurable from laravel's cache config in the file config/cache.php. You can use any cache driver (file, database, redis, memcached, etc) and the second argument to the function [5, 10] basically tells laravel that the cache is only good for 5 seconds and between 5 to 10 seconds period refresh the cached value automatically so it'll only be at max 5 to 10 seconds old.
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@soyuka I logged all the queries and saw multiple calls to the information_schema table for the same table's columns and data and thats why I added this
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@soyuka in terms of making sure it is not stale:
https://laravel.com/docs/11.x/cache#swr
But as you pointed out, in production this is not called because it cached when calling the optimize function (or after the 1st request to the endpoint), so this would apply only to development machines, im not quite sure if or why it would be needed there.
@amermchaudhary Are you running into this issue on a production setup or on your development system?
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yes @amermchaudhary it's running multiple time on a development environment, but if you set debug to false metadata gets cached. I'm not a huge fan of multi-layer caching as it's hard to debug when it fails.
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Ahh I was checking on my development system. I didn't know that it was being cached on a production system. In that case we should close this PR. It's not necessary!!
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Closng then, thanks for the report @amermchaudhary ! |
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This PR uses
Cache::flexiblefrom Laravel to improve performance so that same table data is not requested multiple times and the request happens in the background