const input = "10";
switch(input) {
case "1":
return true;
case "2":
return true;
case "3":
return true;
case "4":
return true;
case "5":
return true;
case "6":
return true;
case "7":
return true;
case "8":
return true;
case "9":
return true;
case "10":
return true;
default:
return "11";
}
const input = 10;
const mapping = new Map([
["0", true],
["1", true],
["2", true],
["3", true],
["4", true],
["5", true],
["6", true],
["7", true],
["8", true],
["9", true],
["10", true],
]);
const foo = mapping.get(10);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Switch | |
Map |
Test name | Executions per second |
---|---|
Switch | 925259904.0 Ops/sec |
Map | 1702677.0 Ops/sec |
What is being tested?
The provided JSON represents two individual test cases for a JavaScript benchmarking tool, MeasureThat.net. The test cases are designed to compare the performance of two approaches: switch statements and Map objects.
In the first test case ("Switch"), a simple switch statement is used to check if an input string matches one of several predefined values. In the second test case ("Map"), a Map object is used with the get()
method to achieve the same result.
Options compared
The two approaches are being compared in terms of their execution speed and efficiency. The goal is to determine which approach is faster and more suitable for similar use cases.
Pros and Cons
case
statements, making it harder to maintain and extend.Library and its purpose
In both test cases, the Map
library is used to store a mapping between input values (strings) and boolean outcomes. The get()
method of the Map object is then used to retrieve the outcome for a given input value.
Special JS feature or syntax
None mentioned in this specific benchmark.
Other considerations
When choosing between switch statements and Map objects, consider the following factors:
Alternative approaches
Other alternatives for implementing similar functionality include:
{ [input]: true }
) to achieve a similar lookup performance as Map objects._.get()
method, which provides a more functional programming-style approach to handling lookups.