With the development of web applications, the scale of data continues to grow, making database queries increasingly time-consuming and resource-intensive. This causes many applications to be slow when querying and displaying data because each query requires retrieving large amounts of data from the database.

As a Laravel developer, we often face the problem of how to optimize queries, especially in pagination queries. Laravel provides us with a solution, query caching.

Query cache allows us to cache the results when querying the same conditions multiple times, thereby avoiding unnecessary queries and database load. This is especially useful for large web applications, which often need to query large amounts of data.

In Laravel, query caching is implemented through the Cache facade. The Cache facade can be used with a variety of cache drivers, including File, Memcached, Redis, and more. Laravel automatically selects the cache driver that best suits the current situation.

Let's look at an example to demonstrate how to use query caching in Laravel.

First, we need to define a query in our model, for example:

namespace?App;

use?Illuminate\Database\Eloquent\Model;

class?Product?extends?Model
{
????public?function?getPriceRange($minPrice,?$maxPrice)
????{
????????return?$this->whereBetween('price',?[$minPrice,?$maxPrice])
????????????????????->orderBy('price',?'desc')
????????????????????->paginate(10);
????}
}

In the above example, we defined a query called "getPriceRange" that selects the price Products between $minPrice and $maxPrice. Additionally, we sort the results in descending order and use Laravel's pagination functionality to split the results into 10 per page.

Now we can call this query in the controller and cache it so that it can be accessed quickly the next time we query it. We can use the Cache facade to do this.

namespace?App\Http\Controllers;

use?App\Product;
use?Illuminate\Http\Request;
use?Illuminate\Support\Facades\Cache;

class?ProductController?extends?Controller
{
????public?function?index(Request?$request)
????{
????????$minPrice?=?$request->input('min_price');
????????$maxPrice?=?$request->input('max_price');

????????$key?=?'price_range_'?.?$minPrice?.?'_'?.?$maxPrice;
????????$minutes?=?60;

????????$products?=?Cache::remember($key,?$minutes,?function()?use?($minPrice,?$maxPrice)?{
????????????return?(new?Product)->getPriceRange($minPrice,?$maxPrice);
????????});

????????return?view('products.index',?['products'?=>?$products]);
????}
}

In the above code, we use the "remember" method of the Cache facade to cache our query results. The first parameter is the string we want to use as the cache key, the second parameter is the number of minutes we want the results to be cached, and the third parameter is a closure that returns the results of our query.

This means that if we have another request to query the same price range, Laravel will return the results directly from the cache. This will significantly improve the performance and speed of our application.

Query caching is a very useful feature in Laravel. Using it, we can avoid unnecessary queries and database loads, improving the performance and speed of our applications. By mastering this simple trick, we can make our developer careers much easier and more enjoyable.

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