I put the code on CodeSandbox if you want to play with it. Lastly, before the benchmark begins, there is also a warmup phase for at least 100ms where we repeatedly create new objects and maps that are discarded right away. I also explicitly convert integer and numeric keys to strings using toString before adding them to objects to avoid the overhead of implicitly casting. ![]() 0.4024025689756525.Īll keys are randomly generated so we don't hit the inline-cache implemented by V8. numeric strings generated by Math.random().toString(), e.g.For iteration performance, it is hard to come up with an all-encompassing benchmarks as there are many different variants of iteration we can perform on a given object. In these three operations, I pay more attention to insertion since it tends to be the most common operation I perform in my day-to-day work. I could use but it defeats the purpose of the benchmarks as I know for sure it is going to be vastly faster. In this blog post, Object only refers to plain old objects, delimited by a left brace Īs for deletion, I am simply going to measure the time taken for using the delete operator to remove all properties from an objects and compare it with the time with for a Map of the same size. Almost everything can be an object, except for two bottom types - null and undefined. In JavaScript, Object is a pretty broad term. In this post, I will break down all the reasons when you should consider using Map more and its performance characteristics with benchmarks. As a result, Map remains underused in today's JavaScript community. However, most people still reach for objects when they need a hash map and only switch to using Map when they realize the keys can't just be strings for their use cases. In a lot of aspects, it seems like a more capable Object with a somewhat clumsy interface. After ES6, we got a new addition to the language - Map. They allow us to easily group multiple pieces of data together. The missing guide to choosing between Object and Map in JavaScript
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