Implementing a Global Cache in Spryker

Описание: Discover how to efficiently implement a `global cache` in Spryker using Redis and enhance your Yves controller's performance.
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This video is based on the question https://stackoverflow.com/q/71456789/ asked by the user 'erop' ( https://stackoverflow.com/u/409317/ ) and on the answer https://stackoverflow.com/a/71838311/ provided by the user 'Tomasz Ferfecki' ( https://stackoverflow.com/u/3398757/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Implementing a Global Cache in Spryker: A Complete Guide

When developing applications in Spryker, performance can often become a concern, especially when making multiple HTTP requests. A common solution to enhance performance is caching the results of those requests. But, how can you achieve this with a "global" cache in your Yves controller? In this guide, we will delve into using Redis as a key-value storage to implement a global caching solution that is both efficient and straightforward.

The Challenge: HTTP Requests in Yves Controller

As you develop your Spryker application, you may find it necessary to make HTTP requests directly from your Yves controllers. However, repeatedly executing these requests can slow down your application significantly. To tackle this problem, utilizing a cache can help reduce the time taken for these operations, improving both user experience and resource usage.

The Solution: Using Redis for Global Caching

For a quick and effective solution, Redis can be employed as your key-value storage system. It is fast, versatile, and works seamlessly with Spryker to create a global caching layer. Here’s how to implement this solution step by step.

1. Dependency Injection for Redis Storage Client

First, you'll need to set up the dependency injection for the storage client in Spryker. Here’s how to do it:

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This code snippet ensures that the storage client is accessible throughout your Yves controllers.

2. Accessing the Storage Client

Now that you've set up the storage client, you need to create a factory method to access it. This method will help you retrieve the storage client easily when needed.

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This code allows you to get the storage client from any of your classes that implement this factory.

3. Implementing the Caching Logic

Now, it’s time to write the logic that will utilize the Redis cache. Here’s an example of how to check for a cached value before generating a new one:

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In this code snippet:

You first attempt to retrieve a value from the cache using the specified key ($myKey).

If the cached value exists and is not empty, it is returned directly.

If not, you can proceed with generating the new value, which can then be stored for future requests.

Conclusion

Incorporating a global cache into your Spryker application not only improves performance but also enhances user satisfaction. By using Redis as your caching solution, you can seamlessly cache HTTP request results in your Yves controller, reducing load times significantly. Through the steps outlined in this guide, you should be equipped to implement a global caching solution that optimizes your application's performance.

Remember that as with any caching mechanism, it's essential to consider cache expiration and invalidation strategies to maintain data accuracy. Happy coding!