Introduction to Lazy-Cache

Lazy-Cache is a powerful utility for creating caches that use lazy evaluation, meaning the values are only computed when they are needed. This can significantly optimize the performance of your applications by preventing unnecessary computations and ensuring that resources are used effectively. Below, we delve into several useful Lazy-Cache APIs paired with code snippets to showcase how you can start utilizing Lazy-Cache in your projects.

Lazy-Cache APIs and Examples

Basic Usage

First, install the Lazy-Cache package via npm:

npm install lazy-cache

Here is how you can create a simple cache:

 const lazy = require('lazy-cache')(require); const utils = lazy('underscore');
// Use the cached module utils().each([1, 2, 3], console.log); 

Defining Custom Caches

You can define custom cache keys and values:

 lazy.cache('uniqueKey', () => 'value to store'); console.log(lazy.cache.uniqueKey()); // Logs: 'value to store' 

Using With Functions

Lazy-Cache can be used with functions to delay their invocation:

 const expensiveFunction = () => {
  console.log('Function executed');
  return 'result';
};
lazy.cache('expensiveFunc', expensiveFunction);
console.log(lazy.cache.expensiveFunc()); // Executes the function and returns 'result' 

Conditional Caching

You can invalidate the cache conditionally:

 let count = 0; const counter = () => count++;
lazy.cache('counter', counter);
console.log(lazy.cache.counter()); // 0 console.log(lazy.cache.counter()); // Still 0, cached result
count = 10; lazy.cache('counter', counter, true); // Forces cache update console.log(lazy.cache.counter()); // 10 (updated value) 

Application Example

Let’s build a small application to demonstrate Lazy-Cache in action. This application will simulate fetching data and caching it for efficiency:

 const lazy = require('lazy-cache')(require);
// A simulated API call function const fetchData = () => {
  console.log('Fetching data...');
  return {
    id: 1,
    data: 'Sample Data'
  };
};
lazy.cache('apiData', fetchData);
// Simulate initial request console.log(lazy.cache.apiData()); // Fetches data and caches it
// Simulate subsequent request (using cached data) console.log(lazy.cache.apiData()); // Uses cached data, no fetching
// Force cache update after data change lazy.cache('apiData', fetchData, true); console.log(lazy.cache.apiData()); // Fetches the data again 

In the example above, our simulated API call is cached after the first request, preventing unnecessary fetches in subsequent requests. This effectively optimizes performance by leveraging Lazy-Cache’s capabilities.

By integrating Lazy-Cache into your applications, you can greatly enhance their efficiency and resource management. Start using Lazy-Cache today and experience the difference it makes!

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