EVENTLOOP_UI_ACTIVITY_EXP_MS over 50ms

EVENTLOOP_UI_ACTIVITY_EXP_MS over 50ms.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### E10S Experiment Beta, EVENTLOOP_UI_ACTIVITY_EXP_MS >= 50ms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unable to parse whitelist (/home/hadoop/anaconda2/lib/python2.7/site-packages/moztelemetry/bucket-whitelist.json). Assuming all histograms are acceptable.\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import ujson as json\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.plotly as py\n",
    "import IPython\n",
    "\n",
    "from __future__ import division\n",
    "from moztelemetry.spark import get_pings, get_one_ping_per_client, get_pings_properties\n",
    "from montecarlino import grouped_permutation_test\n",
    "\n",
    "%pylab inline\n",
    "IPython.core.pylabtools.figsize(16, 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc.defaultParallelism"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def chi2_distance(xs, ys, eps = 1e-10, normalize = True):\n",
    "    histA = xs.sum(axis=0)\n",
    "    histB = ys.sum(axis=0)\n",
    "    \n",
    "    if normalize:\n",
    "        histA = histA/histA.sum()\n",
    "        histB = histB/histB.sum()\n",
    "    \n",
    "    d = 0.5 * np.sum([((a - b) ** 2) / (a + b + eps)\n",
    "        for (a, b) in zip(histA, histB)])\n",
    "\n",
    "    return d\n",
    "\n",
    "\n",
    "def compare_histogram(histogram, e10s, none10s, from_bin=50):    \n",
    "    e10s = e10s.map(lambda x: x[x.index >= from_bin])\n",
    "    none10s = none10s.map(lambda x: x[x.index >= from_bin])\n",
    "        \n",
    "    pvalue = grouped_permutation_test(chi2_distance, [e10s, none10s], num_samples=100)\n",
    "    \n",
    "    eTotal = e10s.sum()\n",
    "    nTotal = none10s.sum()\n",
    "                \n",
    "    fig = plt.figure()\n",
    "    fig.subplots_adjust(hspace=0.3)\n",
    "        \n",
    "    ax = fig.add_subplot(1, 1, 1)\n",
    "    ax2 = ax.twinx()\n",
    "    width = 0.4\n",
    "    ylim = max(eTotal.max(), nTotal.max())\n",
    "        \n",
    "    eTotal.plot(kind=\"bar\", alpha=0.5, color=\"green\", label=\"e10s\", ax=ax, width=width, position=0, ylim=(0, ylim + 1))\n",
    "    nTotal.plot(kind=\"bar\", alpha=0.5, color=\"blue\", label=\"non e10s\", ax=ax2, width=width, position=1, grid=False, ylim=ax.get_ylim())\n",
    "        \n",
    "    ax.legend(ax.get_legend_handles_labels()[0] + ax2.get_legend_handles_labels()[0],\n",
    "              [\"e10s ({} samples\".format(len(e10s)), \"non e10s ({} samples)\".format(len(none10s))])\n",
    "\n",
    "    plt.title(histogram)\n",
    "    plt.xlabel(histogram)\n",
    "    plt.ylabel(\"Frequency %\")\n",
    "    plt.show()\n",
    "        \n",
    "    print \"The probability that the distributions for {} are differing by chance is {:.2f}.\".format(histogram, pvalue)\n",
    "    \n",
    "        \n",
    "def compare_histograms(pings, *histogram_names):\n",
    "    frame = pd.DataFrame(get_pings_properties(pings, histogram_names + (\"e10s\",) , with_processes=True).collect())\n",
    "    e10s = frame[frame[\"e10s\"] == True]\n",
    "    none10s = frame[frame[\"e10s\"] == False]\n",
    "    \n",
    "    for histogram in none10s.columns:\n",
    "        if histogram == \"e10s\" or histogram.endswith(\"_parent\") or histogram.endswith(\"_children\"):\n",
    "            continue\n",
    "            \n",
    "        has_children = np.sum(e10s[histogram + \"_children\"].notnull()) > 0\n",
    "        has_parent = np.sum(e10s[histogram + \"_parent\"].notnull()) > 0\n",
    "        \n",
    "        if has_children and has_parent:\n",
    "            compare_histogram(histogram + \" (parent + children)\", e10s[histogram].dropna(), none10s[histogram].dropna())\n",
    "            \n",
    "        if has_parent:\n",
    "            compare_histogram(histogram + \" (parent)\", e10s[histogram + \"_parent\"].dropna(), none10s[histogram].dropna())\n",
    "            \n",
    "        if has_children:\n",
    "            compare_histogram(histogram + \" (children)\", e10s[histogram + \"_children\"].dropna(), none10s[histogram].dropna())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get e10s and non-e10s partitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dataset = sqlContext.read.load(\"s3://telemetry-parquet/e10s-experiment/e10s-enabled-beta-20151214@experiments.mozilla.org/generationDate=20160106\", \"parquet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only consider builds with [bug 1234618](https://bugzilla.mozilla.org/show_bug.cgi?id=1234618) BHR fix:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dataset = dataset.filter(dataset.buildId >= '20151228134903')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample by clientId:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sampled = dataset.filter(dataset.sampleId <= 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62058"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sampled.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Transform Dataframe to RDD of pings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def row_2_ping(row):\n",
    "    ping = {\"payload\": {\"simpleMeasurements\": json.loads(row.simpleMeasurements),\n",
    "                        \"histograms\": json.loads(row.histograms),\n",
    "                        \"keyedHistograms\": json.loads(row.keyedHistograms),\n",
    "                        \"childPayloads\": json.loads(row.childPayloads),\n",
    "                        \"threadHangStats\": json.loads(row.threadHangStats)},\n",
    "           \"e10s\": True if row.experimentBranch == \"experiment\" else False}\n",
    "    return ping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subset = sampled.rdd.map(row_2_ping)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Event processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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E/IBlvKFZRKwVEYdHRMd86uecsv3Yj9qXIjTFn8i+PA9l8WnGTT6RkFJ6iuzkQ617CjTB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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4a59206050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/EVENTLOOP_UI_ACTIVITY_EXP_MS (parent + children) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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XX3/9ctVx5plncs011zRTj1ZvPp5NkiRJWomGDq2ipmbF1V9RASNHVq24BlaA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\nLMrswecycb5rtQJjkux/z8w3VV5nk84T3fpbdZ94FOUI2c2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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4a08f92690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/EVENTLOOP_UI_ACTIVITY_EXP_MS (parent) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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jH//I5ptvzjrrrMOAAQOYMmVKaV2bNm245ppr2GKLLaisrOTUU09dZDspJX75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\n1oaSvkt6z64rafXW9xRlK2u1v+advSNL7t9XKw0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XX5jv34SCpfpa69R2ezbdKwu4MakH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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4a04359dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/EVENTLOOP_UI_ACTIVITY_EXP_MS (children) are differing by chance is 0.00.\n"
     ]
    }
   ],
   "source": [
    "compare_histograms(subset, \"payload/histograms/EVENTLOOP_UI_ACTIVITY_EXP_MS\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}