Skip to main content

Implementing Response Caching using Feathers.js and Cache-manager

In this article, we will explore how to implement response caching using Feathers.js and Cache-manager. Response caching is a technique used to improve the performance of web applications by storing frequently accessed data in a cache layer. This allows the application to retrieve data from the cache instead of re-computing it or retrieving it from a database, resulting in faster response times and reduced server load.

What is Feathers.js?

Feathers.js is a lightweight, open-source framework for building real-time web applications and RESTful APIs. It provides a simple and flexible way to build scalable and maintainable applications using Node.js.

What is Cache-manager?

Cache-manager is a popular caching library for Node.js that provides a simple and flexible way to implement caching in web applications. It supports a variety of cache stores, including memory, Redis, and MongoDB.

Implementing Response Caching using Feathers.js and Cache-manager

To implement response caching using Feathers.js and Cache-manager, we will need to install the following dependencies:

npm install feathers cache-manager

Next, we will create a new Feathers.js application and configure it to use Cache-manager:


const feathers = require('@feathersjs/feathers');
const cacheManager = require('cache-manager');

const app = feathers();

app.configure(configure);

function configure() {
  app.set('cache', cacheManager.caching({
    store: 'memory',
    max: 100,
    ttl: 60 // 1 minute
  }));
}

In this example, we are configuring Cache-manager to use the memory store and setting the maximum number of cache entries to 100. We are also setting the time-to-live (TTL) for each cache entry to 1 minute.

Creating a Cached Service

Next, we will create a new service that uses the cache:


const service = {
  async get(id) {
    const cacheKey = `users/${id}`;
    const cachedData = await app.get('cache').get(cacheKey);

    if (cachedData) {
      return cachedData;
    }

    const data = await app.service('users').get(id);
    await app.get('cache').set(cacheKey, data, 60); // 1 minute
    return data;
  }
};

app.use('/cached-users', service);

In this example, we are creating a new service that uses the cache to store and retrieve user data. When the service is called, it first checks the cache for the requested data. If the data is found in the cache, it returns the cached data. If the data is not found in the cache, it retrieves the data from the underlying service and stores it in the cache for future requests.

Testing the Cached Service

To test the cached service, we can use a tool like Postman to send requests to the service:

GET /cached-users/1

When we send the first request, the service will retrieve the data from the underlying service and store it in the cache. When we send subsequent requests, the service will retrieve the data from the cache instead of re-retrieving it from the underlying service.

Conclusion

In this article, we explored how to implement response caching using Feathers.js and Cache-manager. We created a new Feathers.js application and configured it to use Cache-manager. We then created a new service that uses the cache to store and retrieve user data. Finally, we tested the cached service using Postman.

FAQs

Q: What is response caching?

A: Response caching is a technique used to improve the performance of web applications by storing frequently accessed data in a cache layer.

Q: What is Feathers.js?

A: Feathers.js is a lightweight, open-source framework for building real-time web applications and RESTful APIs.

Q: What is Cache-manager?

A: Cache-manager is a popular caching library for Node.js that provides a simple and flexible way to implement caching in web applications.

Q: How do I configure Cache-manager?

A: You can configure Cache-manager by setting the store, max, and ttl options. For example:


app.set('cache', cacheManager.caching({
  store: 'memory',
  max: 100,
  ttl: 60 // 1 minute
}));

Q: How do I create a cached service?

A: You can create a cached service by using the cache to store and retrieve data. For example:


const service = {
  async get(id) {
    const cacheKey = `users/${id}`;
    const cachedData = await app.get('cache').get(cacheKey);

    if (cachedData) {
      return cachedData;
    }

    const data = await app.service('users').get(id);
    await app.get('cache').set(cacheKey, data, 60); // 1 minute
    return data;
  }
};

Comments

Popular posts from this blog

How to Fix Accelerometer in Mobile Phone

The accelerometer is a crucial sensor in a mobile phone that measures the device's orientation, movement, and acceleration. If the accelerometer is not working properly, it can cause issues with the phone's screen rotation, gaming, and other features that rely on motion sensing. In this article, we will explore the steps to fix a faulty accelerometer in a mobile phone. Causes of Accelerometer Failure Before we dive into the steps to fix the accelerometer, let's first understand the common causes of accelerometer failure: Physical damage: Dropping the phone or exposing it to physical stress can damage the accelerometer. Water damage: Water exposure can damage the accelerometer and other internal components. Software issues: Software glitches or bugs can cause the accelerometer to malfunction. Hardware failure: The accelerometer can fail due to a manufacturing defect or wear and tear over time. Symptoms of a Faulty Accelerometer If the accelerometer i...

Unlocking Interoperability: The Concept of Cross-Chain Bridges

As the world of blockchain technology continues to evolve, the need for seamless interaction between different blockchain networks has become increasingly important. This is where cross-chain bridges come into play, enabling interoperability between disparate blockchain ecosystems. In this article, we'll delve into the concept of cross-chain bridges, exploring their significance, benefits, and the role they play in fostering a more interconnected blockchain landscape. What are Cross-Chain Bridges? Cross-chain bridges, also known as blockchain bridges or interoperability bridges, are decentralized systems that enable the transfer of assets, data, or information between two or more blockchain networks. These bridges facilitate communication and interaction between different blockchain ecosystems, allowing users to leverage the unique features and benefits of each network. How Do Cross-Chain Bridges Work? The process of using a cross-chain bridge typically involves the follo...

Customizing the Appearance of a Bar Chart in Matplotlib

Matplotlib is a powerful data visualization library in Python that provides a wide range of tools for creating high-quality 2D and 3D plots. One of the most commonly used types of plots in matplotlib is the bar chart. In this article, we will explore how to customize the appearance of a bar chart in matplotlib. Basic Bar Chart Before we dive into customizing the appearance of a bar chart, let's first create a basic bar chart using matplotlib. Here's an example code snippet: import matplotlib.pyplot as plt # Data for the bar chart labels = ['A', 'B', 'C', 'D', 'E'] values = [10, 15, 7, 12, 20] # Create the bar chart plt.bar(labels, values) # Show the plot plt.show() This code will create a simple bar chart with the labels on the x-axis and the values on the y-axis. Customizing the Appearance of the Bar Chart Now that we have a basic bar chart, let's customize its appearance. Here are some ways to do it: Changing the...