An approach to optimizing data storage in web applications.
We’ll cover the following
- Introduction to web caching
- Benefits of caching
In the previous post , we discussed the latency that frequent database calls introduce in web applications. Now, we will look into web caching as a means of eliminating this latency.
Introduction to web caching
Web caching is a design feature of the HTTP protocol that is meant to limit the amount of visitors an application is handling at any given factor with a purpose to enhance the responsiveness of the net utility, as perceived by users, as a whole. In order to do that, caches are used at every level beginning from the server itself all of the way to customers’ browsers, and every of them is supposed to save facts that users are very probably to request.
Essentially, internet caching works through caching HTTP responses for certain requests according to a probabilistic analysis of requests which can be regularly found on the server. Subsequent requests for cached content material can then be fulfilled from a cache towards the user rather of having to ship the request all the manner again to the net server, which then makes a call to the database for the required facts.
Benefits of caching
There are multiple benefits of web caching, each of which has been enumerated below:
- Data can be cached at several different points in the path between the client and the server. When the required data is cached closer to the client, requests do not increase network traffic too much since they are resolved much earlier along the path.
- Extending on the first point, since requests are resolved earlier along the path, responses are sent back quicker as well, thus improving the responsiveness of web applications.
- Aggressive caching along the network can also allow the application to sustain higher loads of data since a significant chunk of the data can be stored within caches.
- In case the server has trouble accessing the database for some reason, data that has been stored in caches can still be served to end-users.
Now that we know how important caching is let’s look into exactly how you can cache your web application data!
MongoDB has in-built mechanisms to handle caching and continues the most lately used statistics in the RAM. If users have created indexes for their queries and the running facts set suits inside the RAM, MongoDB serves all queries from reminiscence. However, MongoDB does now not cache question consequences so that it will return effects from the cache for all future equal queries.
Redis, as we have already learned, stores all data in memory by default, and it is often used as a cache itself. It is, therefore, optimal to use as a database system in modern web applications.
CouchDB, like the other two NoSQL databases we’ve got discussed, objectives to cache all the statistics it probable can. The smaller the file length, the greater of the report can be cached by using CouchDB. It is, therefore, a very good concept to consider the statistics you need to keep in relation to NoSQL databases so that your net utility can run seamlessly and unburdened with the aid of unnecessary quantities of facts.
Memcached is an open-source, high-performance, distributed memory object caching system that is intended to speed up dynamic web applications by alleviating database load. Memcached stores key-value pairs of data from database calls in memory in order to speed up the database lookup process. The underlying idea of Memcached is that it allows you to take memory from parts of your system where you have more than you need and make it accessible to areas where you have less than you need. Memcached is, therefore, a highly useful tool.
That concludes the discussion on databases and how their use can be made more efficient through caching.
Also Read – https://codingtimes.in/nosql-databases/
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