@aws-solutions-constructs/core/node_modules/deep-diff/examples/performance.js

Core CDK Construct for patterns library

var util = require('util')
  , diff = require('..')
  , data = require('./practice-data')
  ;

var cycle = -1
  , i
  , len = data.length
  , prior = {}
  , comparand
  , records
  , roll = []
  , stat
  , stats = []
  , mark, elapsed, avg = { diff: { ttl: 0 }, apply: { ttl: 0 } }, ttl = 0
  ;

mark = process.hrtime();
while (++cycle < 10) {
  i = -1;
  while (++i < len) {
    stats.push(stat = { mark: process.hrtime() });

    comparand = roll[i] || data[i];

    stat.diff = { mark: process.hrtime() };
    records = diff(prior, comparand);
    stat.diff.intv = process.hrtime(stat.diff.mark);

    if (records) {
      stat.apply = { count: diff.length, mark: process.hrtime() };
      records.forEach(function (ch) {
        diff.applyChange(prior, comparand, ch);
      });
      stat.apply.intv = process.hrtime(stat.apply.mark);

      prior = comparand;
    }
    stat.intv = process.hrtime(stat.mark);
  }
}

function ms(intv) {
  return (intv[0] * 1e9 + intv[1] / 1e6);
}
elapsed = ms(process.hrtime(mark));

stats.forEach(function (stat) {
  stat.elapsed = ms(stat.intv);
  stat.diff.elapsed = ms(stat.diff.intv);
  avg.diff.ttl += stat.diff.elapsed;
  if (stat.apply) {
    stat.apply.elapsed = ms(stat.apply.intv);
    ttl += stat.apply.count;
    avg.apply.ttl += stat.apply.elapsed;
  }
});

avg.diff.avg = avg.diff.ttl / ttl;
avg.apply.avg = avg.apply.ttl / ttl;

console.log('Captured '.concat(stats.length, ' samples with ', ttl, ' combined differences in ', elapsed, 'ms'));
console.log('\tavg diff: '.concat(avg.diff.avg, 'ms or ', (1 / avg.diff.avg), ' per ms'));
console.log('\tavg apply: '.concat(avg.apply.avg, 'ms or ', (1 / avg.apply.avg), ' per ms'));