README

composer require doxroot/laravel-redis-cache

Purpose

This library uses Laravel, but with a different approach to tags. It's mutch to say tags, as it uses the default Laravel cache system to create just a wrapper and nothing more around a powerful cache from the default Laravel core system.

What I don't like about tags in Laravel is the default mechanism. Each key stored in a tag has to be added to another list for later cleanup.

Well, in most applications, a simpler solution might be better.

This application will create a key like: tag:filter:key In Redis, we can simply remove all keys that start with some_path*. And that's it. Nothing more with this library.

I am making this available in the hope that it can help someone.

Some additional info

Just extend AbstractRedisCache for other needs. Very simple. Hard to say a library, because it's just an absolute minimal wrapper arounde Cache facade.

DoxrootDbQueryRedisCache::put(key1, value);
DoxrootDbQueryRedisCache::put(key2, value);
Add 2 keys

DoxrootDbQueryRedisCache::put(key3, value, filterKey: test);
DoxrootDbQueryRedisCache::put(key4, value, filterKey: test);
DoxrootDbQueryRedisCache::put(key5, value, filterKey: test1);
DoxrootDbQueryRedisCache::put(key6, value, filterKey: test1);
Add 4 more keys (total 6)

DoxrootDbQueryRedisCache::flush(); // will remove all 6 keys
DoxrootDbQueryRedisCache::flush(test); will remove only key3 && key4
DoxrootDbQueryRedisCache::flush(test1); will remove only key5 && key6

So, just a minimal wrapper for cache.

Some benchmark results:

Code used for Laravel:

Cache:tags([tag-name])->put(key, value);
Cache::tags([tag-name])->flush();

Code using this library:

DoxrootDbQueryRedisCache::put(key, value);
DoxrootDbQueryRedisCache::flush();

Results

Insert 100K rows using Laravel Time: 36.89 seconds

Insert 100K rows using this lib Time: 19.95 seconds

Insert 1M rows using Laravel Time: 373.27 seconds || 6.23 minutes

Insert 1M rows using this lib Time: 203.28 seconds || 3.38 minutes

Remove all data (1M rows) Laravel Time: 5.64 seconds

Remove all data (1M rows) using this lib Time: 1.63 seconds