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Map vs Object hasOwnProperty
(version: 0)
Lookup of map vs object
Comparing performance of:
Map lookup vs Obj lookup
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var map = new Map(); var obj = {}; map.set('a', 5); obj['a'] = 5; var i = 0, count = 1000, a;
Tests:
Map lookup
for (i = 0; i < count; i++) { a = map.get('a'); }
Obj lookup
for (i = 0; i < count; i++) { a = obj.hasOwnProperty('a'); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Map lookup
Obj lookup
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one month ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
Browser/OS:
Chrome 145 on Linux
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Embed Benchmark Result
Test name
Executions per second
Map lookup
7607.0 Ops/sec
Obj lookup
7545.5 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided JSON benchmark definition and test cases. **Benchmark Definition Overview** The provided JSON represents a JavaScript microbenchmark that compares two different approaches for performing a lookup operation on an object: using the `hasOwnProperty` method on an object, and using the `get` method on a Map data structure. **Options Compared** Two options are compared: 1. **Object Lookup (`obj.hasOwnProperty('a')`)**: This approach uses the `hasOwnProperty` method on an object to check if a property exists with a given key. 2. **Map Lookup (`map.get('a')`)**: This approach uses the `get` method on a Map data structure to retrieve the value associated with a specific key. **Pros and Cons of Each Approach** * **Object Lookup (`obj.hasOwnProperty('a')`)** + Pros: - Widely supported across different browsers and JavaScript engines. - Generally faster than using `map.get()` because it only checks if the property exists, rather than retrieving its value. + Cons: - May be slower for large datasets due to the overhead of iterating through object properties. - Less efficient than `map.get()` when working with large datasets or performance-critical code paths. * **Map Lookup (`map.get('a')`)** + Pros: - More efficient than object lookup, especially for large datasets, because it uses a hash table data structure to store and retrieve values quickly. - Can be faster than object lookup for small to medium-sized datasets or performance-critical code paths. + Cons: - Less widely supported across different browsers and JavaScript engines (although most modern browsers support Maps). - May be slower for very large datasets due to the overhead of creating and maintaining a hash table. **Library and Purpose** In this benchmark, the `Map` data structure is used. A Map is a built-in JavaScript data structure that stores key-value pairs in an ordered collection. It provides efficient lookup, insertion, and deletion operations, making it suitable for applications where fast lookups are required. **Special JS Feature or Syntax (None)** There are no special JavaScript features or syntax used in this benchmark. **Alternative Approaches** Other approaches to perform a lookup operation on an object or Map data structure include: * Using the `in` operator: `obj['a'] in obj || map['a'] in map` * Using the `==` operator with the `Object.keys()` method: `obj['a'] == Object.keys(obj).length - 1` * Using a library like Lodash's `_.has()` function: `_.has(obj, 'a')` Note that these alternative approaches may have different performance characteristics and are not necessarily better or worse than the options compared in this benchmark.
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