s = [];
for (var i=0; i < 1000; i++) s.push(i*i);
const a = [];
a.splice(0, a.length, s);
const a = [];
for (var x of s) a.push(x);
const a = [];
a.splice.apply(a, [0, 0].concat(s));
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
array.splice | |
puhs in for loop | |
array.splice w/o spread |
Test name | Executions per second |
---|---|
array.splice | 431221.3 Ops/sec |
puhs in for loop | 464623.8 Ops/sec |
array.splice w/o spread | 352672.4 Ops/sec |
Let's break down the provided benchmark definition and test cases to understand what is being tested.
Benchmark Definition
The website, MeasureThat.net, provides a JSON object that defines a microbenchmark. The benchmark tests two approaches for inserting elements into an array:
array.splice
push
in a for
loopHere's a brief explanation of each approach:
array.splice
: This method replaces a portion of the array with new values. In this case, it removes the first element of the array (length 0) and then inserts all elements from the s
array into the resulting array.push
in a for
loop: This method iterates over each element in the s
array and adds it to the end of the a
array.Library: none
There is no external library being used in this benchmark. The implementation relies solely on built-in JavaScript functions.
Special JS features/syntax: none
This benchmark does not utilize any special JavaScript features or syntax.
Now, let's discuss the pros and cons of each approach:
array.splice
:push
in a for
loop:Alternatives
Some alternative approaches could include:
Array.prototype.concat()
instead of push
in a for
loop: This method combines two or more arrays into a single array and can be faster than the push
approach.array.map()
instead of splice
: This method applies a function to each element of an array and returns a new array with the results. It can be more efficient for large arrays but may not preserve the original order of elements.In summary, the benchmark tests two approaches for inserting elements into an array: array.splice
and push
in a for
loop. The choice between these approaches depends on factors such as performance requirements, memory constraints, and preservation of element order.