docs/source/examples/visualizing-tasks.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c12b2b6a-f643-4cb9-b5b4-dca60086a8e7",
   "metadata": {},
   "source": [
    "# Visualizing an AsyncResult in progress"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "91255a04-00e0-44d5-8817-e5346226b4ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipyparallel as ipp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4bd7ec9e-285a-4e40-bfdf-89290a5e0e35",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using existing profile dir: '/Users/minrk/.ipython/profile_default'\n",
      "Starting 8 engines with <class 'ipyparallel.cluster.launcher.LocalEngineSetLauncher'>\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a88e9002f12849979a16528e113e9a54",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/8 [00:00<?, ?engine/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rc = await ipp.Cluster().start_and_connect(n=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0ffe757-cd80-4876-ad30-1814b2f41789",
   "metadata": {},
   "source": [
    "IPython Parallel tracks states of engines:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6c6c0b3d-5168-4ed7-9d7f-b6eb024a705f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9b13f0b670c64389b846fbc106308f97",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "work:   0%|          | 0/256 [00:00<?, ?tasks/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datetime\n",
    "import random\n",
    "\n",
    "v = rc.load_balanced_view()\n",
    "\n",
    "\n",
    "def work(t):\n",
    "    import time\n",
    "\n",
    "    time.sleep(t)\n",
    "    return t\n",
    "\n",
    "\n",
    "random.seed(1)\n",
    "times = [0.1 + 0.1 * random.random() for i in range(256)]\n",
    "\n",
    "start_time = datetime.datetime.now(datetime.timezone.utc)\n",
    "ar = v.map_async(work, times)\n",
    "ar.wait_interactive()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a868966-d6ce-4709-87c5-3cb178458caf",
   "metadata": {},
   "source": [
    "We can view a summary of our performance efficiency\n",
    "by comparing the 'wall time' (total time it took to compute the whole task and retrieve all results)\n",
    "to the 'serial time' (total work time of all tasks on the engines)\n",
    "\n",
    "The parallel 'efficiency' is the ratio of the speedup to the number of engines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e6b4e32b-14b5-4b7d-8826-e8d81ffba2ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wall time  :    6.0s\n",
      "Serial time:   40.2s\n",
      "Speedup    :    6.7x / 8\n",
      "Efficiency :   84.1%\n"
     ]
    }
   ],
   "source": [
    "wall_time = ar.wall_time\n",
    "serial_time = ar.serial_time\n",
    "speedup = serial_time / wall_time\n",
    "n_engines = len(set(ar.engine_id))\n",
    "efficiency = speedup / n_engines\n",
    "\n",
    "print(f\"wall time  : {wall_time:6.1f}s\")\n",
    "print(f\"Serial time: {serial_time:6.1f}s\")\n",
    "print(f\"Speedup    : {speedup:6.1f}x / {n_engines}\")\n",
    "print(f\"Efficiency : {efficiency:7.1%}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0ef79eb-532d-4dbf-b29b-27b5d0f88e15",
   "metadata": {},
   "source": [
    "We can collect the four timestamps and convert them to seconds since first submission,\n",
    "and store these in a DataFrame for easier analysis\n",
    "\n",
    "- 'submitted' is when the message is created on the client to be sent to the engines\n",
    "- 'started' is when it arrived on the engine and began processing\n",
    "- 'completed' is when it completed on the engine\n",
    "- 'received' is when the result arrived back on the client\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a6e82a95-fd8f-48c2-818e-99acc7acbee0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "data = {\n",
    "    \"engine_id\": ar.engine_id,\n",
    "}\n",
    "\n",
    "for name in (\"submitted\", \"started\", \"completed\", \"received\"):\n",
    "    data[name] = [(dt - start_time).total_seconds() for dt in ar[name]]\n",
    "\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df['prepare'] = df['submitted'] - df['submitted'].min()\n",
    "df['schedule'] = df['started'] - df['submitted']\n",
    "df['compute'] = df['completed'] - df['started']\n",
    "df['reply'] = df['received'] - df['completed']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3de2696e-d561-4bac-8ea6-6067abbd93c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'tasks')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x444.984 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 384,
       "width": 612
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "df.plot.barh(y=['prepare', 'schedule', 'compute', 'reply'], stacked=True, width=1)\n",
    "plt.grid((True, False))\n",
    "yticks = [0, len(df) // 2, len(df)]\n",
    "plt.yticks(yticks, yticks)\n",
    "plt.xlabel(\"seconds\")\n",
    "plt.ylabel(\"tasks\")\n",
    "# plt.ylim([0, len(df)])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e41ad4e-9af8-4a46-a745-2f0aa4af87eb",
   "metadata": {},
   "source": [
    "In this visualization, the blue indicates the time spent in the client preparing the tasks to be submitted.\n",
    "It takes 200ms to prepare and send all of these mesages.\n",
    "\n",
    "The blue area is mostly pure overhead of IPython parallel,\n",
    "and should be minimized. The same goes for red, which is the same thing, just in the other direction - delivering completed results from engines to the client.\n",
    "\n",
    "The orange indicates scheduling time - the time tasks are waiting in queues before starting.\n",
    "There are two contributors to this:\n",
    "\n",
    "1. available compute (if there are more tasks than engines, tasks need to wait). Allocating more engines can help with this.\n",
    "   The optimal scenario here is one engine per task, which would mean no task ever has to wait for busy engines.\n",
    "   On the other hand, your engines will probably spend a lot of time idle, so that's lost of wasted resources.\n",
    "2. Scheduler overhead - There's always a cost to delivering messages.\n",
    "   There is currently no separate measure of when a task has been *assigned* to an engine,\n",
    "   so it is difficult to measure this one except by comparing the time between completing one task and starting the next\n",
    "   \n",
    "The green is time spent actually working on tasks. This is all the 'real' work. In a perfect world, the graph would be all green, but that's never going to happen.\n",
    "\n",
    "The little bits of red are the overhead of delivering results back to the client.\n",
    "That cost is usually very low."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cca4b6af-36a4-4aca-8e45-7536bf43f2f9",
   "metadata": {},
   "source": [
    "We can also visualize the work on the engines,\n",
    "which should look like a solid block of color if there's no wasted time.\n",
    "\n",
    "The left and right edges are the times when the first task was created and the last result was received at the client (the total effective computation time).\n",
    "\n",
    "The y axis is the engine id, and the x axis is time since the beginning of the task.\n",
    "Space in the graph indicates idle engines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d1d7a1ef-a541-4f17-b6ef-9bb9bd3a0138",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'engine id')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x444.984 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 401,
       "width": 632
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "from matplotlib import cm\n",
    "from matplotlib.collections import PatchCollection\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "y = df.engine_id\n",
    "x = df.started\n",
    "width = df.completed\n",
    "height = np.ones(len(df))\n",
    "\n",
    "color_map = mpl.cm.ScalarMappable(\n",
    "    norm=mpl.colors.Normalize(vmin=0, vmax=df.compute.max()),\n",
    "    cmap=cm.viridis,\n",
    ")\n",
    "\n",
    "plt.colorbar(color_map, label=\"duration (s)\")\n",
    "\n",
    "\n",
    "def working_rect(row):\n",
    "    \"\"\"Create a rectangle representing one task\n",
    "\n",
    "    x = start time\n",
    "    y = engine id\n",
    "    width = duration\n",
    "    height = 1\n",
    "    color = duration\n",
    "    \"\"\"\n",
    "    duration = row.completed - row.started\n",
    "    return Rectangle(\n",
    "        (row.started, row.engine_id),\n",
    "        width=duration,\n",
    "        height=1,\n",
    "        color=color_map.to_rgba(duration),\n",
    "    )\n",
    "\n",
    "\n",
    "rects = df.apply(working_rect, axis=1)\n",
    "pc = PatchCollection(rects, match_original=True)\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.set_ylim(0, df.engine_id.max() + 1)\n",
    "ax.set_xlim(0, df.received.max())\n",
    "ax.add_collection(pc)\n",
    "\n",
    "last_send = df.submitted.max()\n",
    "finished = df.received.max()\n",
    "first_result = df.received.min()\n",
    "half_done = df.received.quantile(0.5)\n",
    "\n",
    "ymin, ymax = ax.get_ylim()\n",
    "\n",
    "\n",
    "def annotate_milestone(ax, t, label, color=\"red\", dark=False, top=True):\n",
    "    \"\"\"Add a vertical line annotation for a milestone time\"\"\"\n",
    "\n",
    "    patch = plt.vlines(\n",
    "        [t],\n",
    "        *ax.get_ylim(),\n",
    "        linewidth=4,\n",
    "        color=color,\n",
    "    )\n",
    "    if top:\n",
    "        xy = (t, ymax)\n",
    "        xytext = (10, 10)\n",
    "    else:\n",
    "        xy = (t, ymin)\n",
    "        xytext = (10, -30)\n",
    "    full_label = f\"{label} ({t:.1f}s)\"\n",
    "    ax.annotate(\n",
    "        full_label,\n",
    "        xy=xy,\n",
    "        xytext=xytext,\n",
    "        textcoords=\"offset points\",\n",
    "        color=\"white\" if dark else \"black\",\n",
    "        bbox=dict(\n",
    "            boxstyle=\"round\",\n",
    "            fc=color,\n",
    "        ),\n",
    "        arrowprops=dict(\n",
    "            arrowstyle=\"wedge,tail_width=1.\",\n",
    "            fc=color,\n",
    "            patchA=None,\n",
    "            patchB=patch,\n",
    "            relpos=(0.2, 0.8),\n",
    "            #         connectionstyle=\"arc3,rad=-0.1\",\n",
    "        ),\n",
    "    )\n",
    "\n",
    "\n",
    "annotate_milestone(\n",
    "    ax,\n",
    "    df.submitted.max(),\n",
    "    \"last task send\",\n",
    "    color=(0.4, 0, 0.4),\n",
    "    dark=True,\n",
    ")\n",
    "annotate_milestone(\n",
    "    ax,\n",
    "    df.completed.quantile(0.5),\n",
    "    \"50% results computed\",\n",
    "    color=\"black\",\n",
    "    dark=True,\n",
    ")\n",
    "annotate_milestone(\n",
    "    ax,\n",
    "    df.completed.max(),\n",
    "    \"All results computed\",\n",
    "    color=\"black\",\n",
    "    dark=True,\n",
    ")\n",
    "\n",
    "annotate_milestone(\n",
    "    ax,\n",
    "    df.received.min(),\n",
    "    \"first result arrives\",\n",
    "    color=(1, 0.5, 0.5),\n",
    "    top=False,\n",
    ")\n",
    "annotate_milestone(\n",
    "    ax,\n",
    "    df.received.quantile(0.5),\n",
    "    \"50% results arrived\",\n",
    "    color=(1, 0.5, 0.5),\n",
    "    top=False,\n",
    ")\n",
    "annotate_milestone(\n",
    "    ax,\n",
    "    df.received.max(),\n",
    "    \"All done\",\n",
    "    color=(1, 0.5, 0.5),\n",
    "    top=False,\n",
    ")\n",
    "\n",
    "\n",
    "# plt.vlines(\n",
    "#     [first_result, half_done, finished],\n",
    "#     *ax.get_ylim(),\n",
    "#     linewidth=4,\n",
    "#     color=\"red\",\n",
    "# )\n",
    "# plt.legend(loc=0)\n",
    "plt.xlabel(\"seconds\")\n",
    "plt.ylabel(\"engine id\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4ecbaf9-d541-482e-8749-62aaa8a2192d",
   "metadata": {},
   "source": [
    "Sometimes in this example, a bubble of idle engines can be produced around when the last task is sent.\n",
    "\n",
    "This is caused when lots of results arrive in the client while the client is still trying to submit tasks.\n",
    "Because of IPython Parallel's threaded implementation,\n",
    "this can cause lots of contention,\n",
    "and receiving lots of results can significantly affect overal performance if the client is still trying to assemble tasks to submit.\n",
    "\n",
    "This is an opportunity for [optimization in the client](https://github.com/ipython/ipyparallel/pull/534)!\n",
    "\n",
    "A similar visualization can be done with altair."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a5ce43d6-2202-4fd6-a1d9-251d8572d380",
   "metadata": {},
   "outputs": [
    {
     "data": {
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0.03259599999999985}, {\"engine_id\": 7, \"submitted\": 0.267434, \"started\": 5.665926, \"completed\": 5.797599, \"received\": 5.801585, \"prepare\": 0.266299, \"schedule\": 5.398492, \"compute\": 0.13167300000000015, \"reply\": 0.003986000000000267}, {\"engine_id\": 6, \"submitted\": 0.267821, \"started\": 5.78883, \"completed\": 5.972226, \"received\": 5.97503, \"prepare\": 0.266686, \"schedule\": 5.521009, \"compute\": 0.18339600000000011, \"reply\": 0.0028040000000002507}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import altair as alt\n",
    "\n",
    "alt.Chart(df).mark_rect().encode(\n",
    "    x=\"started\",\n",
    "    x2=\"completed\",\n",
    "    y=\"engine_id\",\n",
    "    y2=\"next_engine_id\",\n",
    "    color=\"compute\",\n",
    ").transform_calculate(\n",
    "    next_engine_id=\"datum.engine_id + 1\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d5d9bda-a58b-43b9-9839-59811956a6f8",
   "metadata": {},
   "source": [
    "We can also visualize 'load' as a measure of how busy the cluster is.\n",
    "It's essentially collecting samples of the above plot by drawing lots of vertical lines,\n",
    "and counting how many boxes are intersected instead of empty space.\n",
    "\n",
    "That is, for any given point in time, how many engines are working,\n",
    "vs how many are waiting for their next task.\n",
    "\n",
    "We do this by sampling points in time and counting the number of 'active' tasks.\n",
    "This is computed as the average value across a given window (default: sample every 10ms, plot the average load over 100ms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bdabe160-5548-492d-910c-d1af39e88739",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x444.984 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 384,
       "width": 599
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_load(asyncresult_df, samples=None, window=10):\n",
    "    if samples is None:\n",
    "        samples = min(int(1e2 * df['received'].max()), 1001)\n",
    "\n",
    "    timeline = np.linspace(0, df['received'].max(), samples)\n",
    "    remaining = df\n",
    "    working = []\n",
    "    for t in timeline:\n",
    "        remaining = remaining[remaining.completed >= t]\n",
    "        active = remaining[remaining.started < t]\n",
    "        working.append(len(active))\n",
    "\n",
    "    s = pd.Series(working, index=timeline, name=\"load\")\n",
    "    if window > 1:\n",
    "        windowed = s.rolling(window).mean()\n",
    "    else:\n",
    "        windowed = s\n",
    "    windowed.plot()\n",
    "    plt.ylim(0, len(df.engine_id.unique()))\n",
    "    plt.xlabel(\"seconds\")\n",
    "    plt.ylabel(\"busy engines\")\n",
    "    plt.xlim(0, timeline[-1])\n",
    "\n",
    "\n",
    "plot_load(df)"
   ]
  }
 ],
 "metadata": {
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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       "value": " 8/8 [00:09&lt;00:00,  1.37s/engine]"
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