The above queries are the same because they query a food with id of 100 and a title that contains "Rice". Notwithstanding this, attempts have been made to cache GraphQL queries we will see them below. This makes caching GraphQL queries difficult. In GraphQL, the POST HTTP method is used to perform queries and there are no URL-like endpoints like we have in RESTful APIs. The URL serves as the key in the key-value pair in the cache storage and the response becomes the value.īeing a globally unique identifier means that the URL is unique and cannot have duplicates. This URL can be leveraged to build a cache. The RESTful APIs use the URL which is the global unique identifier used to identify each GET request. In RESTful APIs that we have seen in the above sections, we learned that it is easy to cache GET APIs and other HTTP methods are not easy to cache or straightforwardly uncacheable. The freshness of the cache will live for 100 seconds before being stale or outdated, in that case, the cache is refreshed with new values. That is, its value in the server has changed so the cache needs to be refreshed so the cache is set to the up-to-date value as in the server. Items stored in a cache for a long time might become stale. The server can tell us the freshness of a response by using the Cache-Control and Expires headers. Other HTTP methods (POST, PUT, DELETE) are declined to be cached, because doing so may lead to loss of data and wrong info being displayed. HTTP cache mainly works on GET because it only reads from the server it does not write to the server. The proxy network can use proxy cache to cache resources frequently accessed in the network thereby reducing the amount of time it had to spend retrieving the same resource from the internet. Proxy networks can have a huge number of users it is serving requests. This is also helpful, when the browser is offline, the browser retrieves the document from its cache. This makes the document loads very fast saving the user's data at the same time. Now, when next the same request is made, the browser retrieves the response right from its cache without a trip to the server. When a network request for a page or XHR is made the document is gotten from the server and the browser caches the document. The browser caches the response of the network request in its internal storage. In HTTP cache, we have browser cache, proxy cache, gateway caches, CDN, reverse proxy caches, and load balancers.īrowser cache is a private HTTP cache. Just like how we improved performance in our JS app by caching our function, we can use HTTP cache to reduce latency and network traffic in our website. We saw caching function calls, here HTTP cache involves caching our HTTP requests to the server. If there is no match, the action is performed and the result is stored in the cache so in the future the result is returned from the cache. The uniqueness is what is stored in the cache key, and they are compared against each other when a match is met the value is returned from the cache value. So for us to know when an action has been performed we use the cache key to match against what is coming in, So every action has a uniqueness. In the cache, the results are stored in a key-value pair. The question here is: How do we know when we are performing the same action? How do we identify the uniqueness? The place where the results are stored is called cache. An action is performed and the result of the action is stored, now when the same action is to be performed again, the previously stored result is retrieved and returned without performing the action. It entails not performing the same action twice. It is relevant we know that so we can understand fully what caching in GraphQL entails.Ĭaching is a long-term optimization trick used in different fields. Let's start by understanding what caching generally is. Learn how caching can be used to cache GraphQL requests to prevent excessive and unnecessary requests.
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