Performance-Analysis-JS

by dg92

Map/Reduce/Filter/Find Vs For loop Vs For each Vs Lodash vs Ramda

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Performance-Analysis

Comparing native JavaScript array methods map, reduce, filter, and find against for loop, forEach loop and lodash methods. The analysis uses basic operations and heavy data manipulation to analyze the execution speed of each method.

To run

  1. Run
    npm install
  2. Generate the data for the tests by running
    npm run seed
    .
    • The default array is 10000 elements in length. You can create an array of a custom length by passing the desired size as an arugment, like so
      npm run seed 100000
      .
  3. For a small data set performance report run
    npm run t:s
    .
    • This runs the analysis on the first 5 elements of the array.
  4. For a performance report on the whole array run
    npm run t:l

To test your own function create them in the formulas.js file.

Results for small data set of array size 5 - 1000

small_data_set_result

Results for mid data set of array size 3000 - 20000

mid_data_set_result

Results for large data set of array size 50000 - 1000000

large_data_set_result

Coming Soon

  1. Ramda.js test
  2. Caching (inline, warm) considerations
  3. GC considerations

Note

  1. These results are computed using Node V8 v5.8.283.41
  2. These result does not consider the JIT, inline caching, hidden classes, deoptimizations, garbage collection, pretenuring etc.
  3. Result may vary as per env's.
  4. Red colour highlight in the above images is just for reference, will soon change.

Discussion/Posts

  1. https://news.ycombinator.com/item?id=17050798
  2. https://medium.com/@ideepak.jsd/javascript-performance-test-for-vs-for-each-vs-map-reduce-filter-find-32c1113f19d7

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