var map = new Map();
var obj = {};
for (let i = 0; i < 1000; i++) {
map.set(`field${i}`, "value");
obj[`field${i}`] = "value";
}
map.delete('field500');
delete map.field500;
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Map.delete | |
delete |
Test name | Executions per second |
---|---|
Map.delete | 25043760.0 Ops/sec |
delete | 34269548.0 Ops/sec |
Let's break down what's being tested in the provided JSON benchmark.
Overview
The benchmark compares two approaches to delete properties from an object: using the delete
operator and using the Map.delete()
method.
Options Compared
There are two options being compared:
delete
operator: This approach uses the built-in JavaScript operator to delete a property from an object.Map.delete()
: This approach uses the Map
data structure to store key-value pairs, and then deletes the key from the map using its delete()
method.Pros and Cons
Delete Operator
Pros:
delete
operator is a simple and lightweight way to delete properties.delete
operator is optimized for performance and can be very fast.Cons:
Map.delete()
Pros:
Map.delete()
ensures that the key is properly removed from the map, even if there are conflicts with other keys.Cons:
delete
operator directly.Library Used
In this benchmark, the Map
library is used. Maps are a built-in JavaScript data structure that allows you to store key-value pairs. They provide efficient lookups, insertions, and deletions, making them suitable for many use cases.
Special JS Feature/Syntax
There is no special JavaScript feature or syntax being tested in this benchmark. However, it's worth noting that the Map
data structure was introduced in ECMAScript 2015 (ES6) as a way to improve performance and flexibility when working with objects.
Other Alternatives
If you were to rewrite this benchmark using different approaches, some alternatives could be:
Object.keys()
and Array.prototype.forEach()
to iterate over the object's properties and delete them.Map
data structure.Keep in mind that these alternatives may have different trade-offs in terms of performance, memory usage, and complexity.