![]() And another option is to join two or multiple tables, you can use laravel eloquent relationships instead of laravel join. If you want to join two or multiple tables in laravel to fetch data from multiple tables using Eloquent join. Then you can use laravel eloquent join(), left join(), right join(), cross join(). Through this tutorial, you will learn how to join 2,3,4 or multiple tables for fetching data from database tables in laravel.Īnd As well as how to use laravel eloquent join() with multiple where conditions. ![]() If you really need to boost performance, the time will be better invested in implementing a caching layer over SQL optimisation.Laravel eloquent join 2,3,4 or multiple tables example. Unless you are working on something with a very strange database design that requires extremely complicated queries, I highly doubt you're going to see any significant performance gains over letting Eloquent handle it for you. It essentially does one query to get all your models and then does a second query to get every model related to any of the first models which is a very efficient way of doing it.Įloquent is the type of thing that should work just fine in 95% of situations, sure you will occasionally have to use the query builder directly or even a raw query for something particularly complex. You would want to use eager loading for this. But there are many cases where the Eloquent method is more efficient, mainly when you're dealing with querying a relationship on many models. It doesn't use joins for retrieving related models, I'm sure at least partly this is due to just improving the API. It's obviously still generating raw SQL eventually and Eloquent relationships do use JOINs, although it's mostly just used when you are making constraints based on a relationship. The query builder is just an abstraction of SQL, and Eloquent is an abstraction of the query builder. ![]() Without it, it would need to vastly increase it's server capacity:Īn old article but it helps paint the picture:įirstly, joins and relationships aren't two opposing things. ![]() This also takes huge load off your server, as it's not having to build each page every time.Įven Facebook, which is a highly dynamic constantly changing application heavily relies on caching. If it's a web application with user facing pages, even a dynamic and changing application can benefit from full page/response caching by refreshing those pages in the cache only when they have been updated by the user.Įg: a user created blog page can be cached, and when the user saves an update, the application punches a hole in the cache layer for that page only so that it's updated the next time someone tries to access that page. But it's very likely you would be able to leverage something like Varnish cache, a full page caching layer, to eliminate the need to continually hit the database at all. Knowing what your application does would help to figure out if it's something you should be focussing on or not though. Optimizing SQL is one of the last things you should optimize, if you ever need to at all. There are very few types web applications that will really need to be performant down to the microsecond level, which is likely what you'll save in optimizing queries. I really like trying to be efficient, and it's a great thing to have in mind while you develop, but I do have to ask if you have thought about whether you really need to?
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