var arr = Array(10_000).fill([0])
arr.reduce((acc, x) => { acc.push(x); return acc; }, [])
arr.flatMap(x => x)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Reduce Push | |
flatMap |
Test name | Executions per second |
---|---|
Reduce Push | 1959.0 Ops/sec |
flatMap | 462.3 Ops/sec |
Let's break down the provided benchmark definition and test cases.
Benchmark Definition: The benchmark is comparing two approaches:
reduce()
method with an initial value of an empty array ([]
), and it iterates over each element in the array, pushing all its elements into the accumulator using the spread operator (...
). The final result is returned by the callback function.flatMap()
method, which returns a new array with the results of applying the provided mapping function to each element in the original array.Comparison: The benchmark aims to compare the performance of these two approaches for large arrays (10,000 elements).
Pros and Cons:
push()
and the spread operator (...
).Library and Purpose:
There is no external library used in these benchmark definitions. However, it's worth noting that both reduce()
and flatMap()
are part of the Array.prototype methods, which are native to JavaScript.
Special JS Feature/Syntax: There are no specific special features or syntaxes mentioned in these benchmark definitions. The focus is on comparing two approaches for array processing.
Other Alternatives: If you want to compare other approaches for array processing, you could consider the following alternatives:
for
loop.Keep in mind that these alternatives might have different performance characteristics and may not be directly comparable to reduce()
and flatMap()
.
For example, using forEach()
would require adding an additional callback function to handle the iteration, whereas for...of loop
would require manual indexing. On the other hand, Array.prototype.map()
creates a new array with the results, similar to flatMap()
, but might have different performance characteristics due to the creation of a new array.
These alternatives can be used to create more comprehensive benchmarks and help developers understand the trade-offs between different approaches for array processing in JavaScript.