Optimize the following code
To optimize the given code, we can follow these approaches:
As the KeyPipe
is a pure pipe that means it won't change the output if the input remains the same. So, we can set its pure
property to true explicitly to achieve better performance. Setting pure to true notifies Angular that the Pipe is not having any side effects on the input and hence no need to rerun on every change detection cycle.
The current KeyPipe
implementation will call Object.keys()
method on every input value, even for the same input value over time, which can be avoided by caching the result for each unique input value. We can use memoization technique to cache the previous results of Object.keys() method.
Here's how we can apply these approaches:
import { Pipe, PipeTransform } from '@angular/core';
@Pipe({
name: 'key',
pure: true // approach 1
})
export class KeyPipe implements PipeTransform {
private readonly cache = new Map<any, any>(); // approach 2
public transform(value: any, args?: any): any {
if (this.cache.has(value)) { // approach 2
return this.cache.get(value);
}
const keys = Object.keys(value);
this.cache.set(value, keys); // approach 2
return keys;
}
}
In Approach 2, we are creating a private instance variable named cache
with type Map<any, any>
in which we store the previous results of Object.keys(value)
method so that we don't have to recalculate Object.keys(value)
for an already seen value again.
Instead, for each new input, we first check whether we have cached the result previously or not by calling cache.has(value)
. If yes, we retrieve the cached result using cache.get(value)
.
If not previously cached, then we calculate the keys using Object.keys(value)
and save them in the cache using this.cache.set()
. At last, we return the array of keys.
These approaches will improve the performance of KeyPipe
in Angular applications where it's used.