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hash-sum vs object-hash 3.0.0
(version: 0)
Comparing performance of:
Sum vs Object-hash
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/hash-sum@2.0.0/hash-sum.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/object-hash@3.0.0/dist/object_hash.min.js"></script>
Script Preparation code:
var context1 = { "uuid": "e0732001-bdec-407e-9c21-8c0b8511f936", "lastMigration": 32, "name": "", "endpointPrefix": "", "latency": 0, "port": 3000, "hostname": "", "folders": [], "routes": [ { "uuid": "f8923b08-6d35-4bd8-bdad-28b40c644409", "type": "http", "documentation": "fdg", "method": "get", "endpoint": "dgs", "responses": [ { "uuid": "276d6fd6-94a6-44b5-9f4e-608fc27777a9", "body": "{}gdfafgdg", "latency": 0, "statusCode": 200, "label": "erzzerz", "headers": [], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id", "callbacks": [] } ], "responseMode": null } ], "rootChildren": [ { "type": "route", "uuid": "f8923b08-6d35-4bd8-bdad-28b40c644409" } ], "proxyMode": false, "proxyHost": "", "proxyRemovePrefix": false, "tlsOptions": { "enabled": false, "type": "CERT", "pfxPath": "", "certPath": "d", "keyPath": "", "caPath": "d", "passphrase": "" }, "cors": true, "headers": [ { "key": "Content-Type", "value": "application/json" }, { "key": "", "value": "" } ], "proxyReqHeaders": [ { "key": "", "value": "" } ], "proxyResHeaders": [ { "key": "", "value": "" } ], "data": [], "callbacks": [] } var context2 = { "uuid": "e0732001-bdec-407e-9c21-8c0b8511f936", "lastMigration": 32, "name": "", "endpointPrefix": "", "latency": 0, "port": 3000, "hostname": "", "folders": [], "routes": [ { "uuid": "f8923b08-6d35-4bd8-bdad-28b40c644409", "type": "http", "documentation": "fdg", "method": "get", "endpoint": "dgs", "responses": [ { "uuid": "276d6fd6-94a6-44b5-9f4e-608fc27777a9", "body": "{}gdfafgdg", "latency": 0, "statusCode": 200, "label": "erzzerz", "headers": [], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": true, "crudKey": "id", "callbacks": [] } ], "responseMode": null } ], "rootChildren": [ { "type": "route", "uuid": "f8923b08-6d35-4bd8-bdad-28b40c644409" } ], "proxyMode": false, "proxyHost": "", "proxyRemovePrefix": false, "tlsOptions": { "enabled": false, "pfxPath": "", "type": "CERT", "certPath": "d", "keyPath": "", "caPath": "d", "passphrase": "" }, "cors": true, "headers": [ { "key": "Content-Type", "value": "application/json" }, { "key": "", "value": "" } ], "proxyReqHeaders": [ { "key": "", "value": "" } ], "proxyResHeaders": [ { "key": "", "value": "" } ], "data": [], "callbacks": [] }
Tests:
Sum
sum(context1) === sum(context2)
Object-hash
objectHash(context1) === objectHash(context2)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Sum
Object-hash
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=501330" width="100%" height="500px"></iframe>
Test name
Executions per second
Sum
26696.6 Ops/sec
Object-hash
1349.6 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what is being tested, compared options, pros and cons of each approach, and more. **What is being tested?** The benchmark consists of two individual test cases: 1. `Sum`: This test case measures the performance of a hash sum function on two identical input objects (`context1` and `context2`). The goal is to determine if the output of both functions is equal. 2. `Object-hash`: This test case measures the performance of an object hash function on two identical input objects (`context1` and `context2`). Similar to the previous test case, the goal is to verify that the output of both functions is equal. **Comparison options:** To compare the performance of these two functions, we need to choose a common metric. Since both functions are measuring equality between their outputs, we can use the number of executions per second as the primary comparison point. **Pros and cons of each approach:** 1. **Hash Sum (`sum(context1) === sum(context2)`)**: * Pros: + Simple and straightforward implementation. + Can be easily implemented using existing libraries or frameworks (e.g., `hash-sum` library used in the benchmark). * Cons: + May have a higher overhead due to string comparison operations. + May not be as efficient for large input objects. 2. **Object Hash (`objectHash(context1) === objectHash(context2)`)**: * Pros: + Can be more efficient than hash sum, especially for large input objects. + Allows for custom implementation or optimization (e.g., using a caching mechanism). * Cons: + Requires additional libraries or frameworks (e.g., `object-hash` library used in the benchmark). + May have a steeper learning curve due to its complexity. **Benchmark results:** The latest benchmark result shows the performance metrics for both test cases: | Test Case | Executions Per Second | | --- | --- | | Sum | 26696.62890625 | | Object-hash | 1349.6080322265625 | As expected, the `Sum` test case performs better than the `Object-hash` test case, indicating that hash sum might be a more efficient approach for this specific use case. **Recommendation:** Based on the benchmark results, it appears that hash sum is a suitable choice for this problem. However, if custom optimization or caching mechanisms are required, object hash might still be worth exploring further. It's essential to weigh the trade-offs between simplicity, performance, and code complexity when choosing an approach. Please let me know if you have any follow-up questions!
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hash-sum vs object-hash opttimized 2
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