Benchmark: comparing a reduce versus a filter

Script Preparation code:

const combined = [
  {oclcNumber: 1},
  {oclcNumber: 2},
  {oclcNumber: 3},
  {oclcNumber: 4},
  {oclcNumber: 5},
  {oclcNumber: 6},
  {oclcNumber: 7},
  {oclcNumber: 8},
  {oclcNumber: 9},
  {oclcNumber: 10},
  {oclcNumber: 2},
]

Tests:

using reduce function
const combined = [ {oclcNumber: 1}, {oclcNumber: 2}, {oclcNumber: 3}, {oclcNumber: 4}, {oclcNumber: 5}, {oclcNumber: 6}, {oclcNumber: 7}, {oclcNumber: 8}, {oclcNumber: 9}, {oclcNumber: 10}, {oclcNumber: 2}, ] combined.reduce((acc, current) => { return (acc.find(record => record.oclcNumber === current.oclcNumber) ? acc : acc.concat(current)) }, [])
using filter function
const combined = [ {oclcNumber: 1}, {oclcNumber: 2}, {oclcNumber: 3}, {oclcNumber: 4}, {oclcNumber: 5}, {oclcNumber: 6}, {oclcNumber: 7}, {oclcNumber: 8}, {oclcNumber: 9}, {oclcNumber: 10}, {oclcNumber: 2}, ] combined.filter((current, i, arr) => { return arr.findIndex(record => (record.oclcNumber === current.oclcNumber)) === i })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
using reduce function
using filter function

Fastest: N/A

Slowest: N/A

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Comparing performance of: using reduce function vs using filter function

Created: 5 years ago by: Guest

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using reduce function

using filter function

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results