Dask Custom Workflow example

dask-custom-workflow.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from dask import delayed\n",
    "from distributed import Client\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:95% !important; } </style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import HTML, display\n",
    "HTML(\"<style>.container { width:95% !important; } </style>\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "@delayed\n",
    "def step_one(item):\n",
    "    time.sleep(1)\n",
    "    return item  + \"_post_step_one\"\n",
    "\n",
    "@delayed\n",
    "def step_two(item):\n",
    "    return item + \"post_step_two\" \n",
    "\n",
    "@delayed\n",
    "def store(item):\n",
    "    # dask likes to have a collection end node\n",
    "    return item\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "items = [\"file_1\", \"file_2\", \"file_3\", \"file_4\"]\n",
    "\n",
    "step_one_results = [step_one(item) for item in items]\n",
    "step_two_results = [step_two(item) for item in step_one_results]\n",
    "\n",
    "final_results = store(step_two_results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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23UYey3bhghybr1FIgAT8S4B7kfi3bJiyEBBAJ7lmzRpZvnx55G/ZsmW6A+lP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\nhoAhYAgYAoZAvhD4fyCjAT1p1h+3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_results.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "client = Client()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c = client.compute(final_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'tcp://127.0.0.1:51496': {'step_one-9ab7f69a-61e8-4cf9-8719-f3f04b11f0db'},\n",
       " 'tcp://127.0.0.1:51499': {'step_one-5c2c1495-5fe6-416b-8ce6-12d3e643e421'},\n",
       " 'tcp://127.0.0.1:51502': {'step_one-abd8f0bb-a41a-43ab-83eb-1c2a27b62f5b'},\n",
       " 'tcp://127.0.0.1:51510': {'step_one-4074e052-bb98-4e92-8a9d-2ed44b70ffb9'},\n",
       " 'tcp://127.0.0.1:51514': set(),\n",
       " 'tcp://127.0.0.1:51516': set(),\n",
       " 'tcp://127.0.0.1:51519': set(),\n",
       " 'tcp://127.0.0.1:51522': set()}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check out how things are going \n",
    "client.processing()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'pending'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['file_1_post_step_onepost_step_two',\n",
       " 'file_2_post_step_onepost_step_two',\n",
       " 'file_3_post_step_onepost_step_two',\n",
       " 'file_4_post_step_onepost_step_two']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Do a blocking call to wait for the final result\n",
    "c.result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'step_one-4074e052-bb98-4e92-8a9d-2ed44b70ffb9': (<function __main__.step_one>,\n",
       "  'file_3'),\n",
       " 'step_one-5c2c1495-5fe6-416b-8ce6-12d3e643e421': (<function __main__.step_one>,\n",
       "  'file_1'),\n",
       " 'step_one-9ab7f69a-61e8-4cf9-8719-f3f04b11f0db': (<function __main__.step_one>,\n",
       "  'file_4'),\n",
       " 'step_one-abd8f0bb-a41a-43ab-83eb-1c2a27b62f5b': (<function __main__.step_one>,\n",
       "  'file_2'),\n",
       " 'step_two-02dc5c15-abf2-4306-bb6a-589595b6f5ca': (<function __main__.step_two>,\n",
       "  'step_one-4074e052-bb98-4e92-8a9d-2ed44b70ffb9'),\n",
       " 'step_two-193bc5f3-b363-40ad-93de-f05ad63f77fa': (<function __main__.step_two>,\n",
       "  'step_one-abd8f0bb-a41a-43ab-83eb-1c2a27b62f5b'),\n",
       " 'step_two-ddcaa07b-32cc-477e-98b1-72afac00c66a': (<function __main__.step_two>,\n",
       "  'step_one-5c2c1495-5fe6-416b-8ce6-12d3e643e421'),\n",
       " 'step_two-f70a249c-755a-4d1e-910e-2ee0a8276995': (<function __main__.step_two>,\n",
       "  'step_one-9ab7f69a-61e8-4cf9-8719-f3f04b11f0db'),\n",
       " 'store-67c58276-408f-4e66-bbe3-9746ebc89244': (<function __main__.store>,\n",
       "  ['step_two-ddcaa07b-32cc-477e-98b1-72afac00c66a',\n",
       "   'step_two-193bc5f3-b363-40ad-93de-f05ad63f77fa',\n",
       "   'step_two-02dc5c15-abf2-4306-bb6a-589595b6f5ca',\n",
       "   'step_two-f70a249c-755a-4d1e-910e-2ee0a8276995'])}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output a dict of the dask dag\n",
    "dict(final_results.dask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'step_one-4074e052-bb98-4e92-8a9d-2ed44b70ffb9': {'step_one-4074e052-bb98-4e92-8a9d-2ed44b70ffb9': (<function __main__.step_one>,\n",
       "   'file_3')},\n",
       " 'step_one-5c2c1495-5fe6-416b-8ce6-12d3e643e421': {'step_one-5c2c1495-5fe6-416b-8ce6-12d3e643e421': (<function __main__.step_one>,\n",
       "   'file_1')},\n",
       " 'step_one-9ab7f69a-61e8-4cf9-8719-f3f04b11f0db': {'step_one-9ab7f69a-61e8-4cf9-8719-f3f04b11f0db': (<function __main__.step_one>,\n",
       "   'file_4')},\n",
       " 'step_one-abd8f0bb-a41a-43ab-83eb-1c2a27b62f5b': {'step_one-abd8f0bb-a41a-43ab-83eb-1c2a27b62f5b': (<function __main__.step_one>,\n",
       "   'file_2')},\n",
       " 'step_two-02dc5c15-abf2-4306-bb6a-589595b6f5ca': {'step_two-02dc5c15-abf2-4306-bb6a-589595b6f5ca': (<function __main__.step_two>,\n",
       "   'step_one-4074e052-bb98-4e92-8a9d-2ed44b70ffb9')},\n",
       " 'step_two-193bc5f3-b363-40ad-93de-f05ad63f77fa': {'step_two-193bc5f3-b363-40ad-93de-f05ad63f77fa': (<function __main__.step_two>,\n",
       "   'step_one-abd8f0bb-a41a-43ab-83eb-1c2a27b62f5b')},\n",
       " 'step_two-ddcaa07b-32cc-477e-98b1-72afac00c66a': {'step_two-ddcaa07b-32cc-477e-98b1-72afac00c66a': (<function __main__.step_two>,\n",
       "   'step_one-5c2c1495-5fe6-416b-8ce6-12d3e643e421')},\n",
       " 'step_two-f70a249c-755a-4d1e-910e-2ee0a8276995': {'step_two-f70a249c-755a-4d1e-910e-2ee0a8276995': (<function __main__.step_two>,\n",
       "   'step_one-9ab7f69a-61e8-4cf9-8719-f3f04b11f0db')},\n",
       " 'store-67c58276-408f-4e66-bbe3-9746ebc89244': {'store-67c58276-408f-4e66-bbe3-9746ebc89244': (<function __main__.store>,\n",
       "   ['step_two-ddcaa07b-32cc-477e-98b1-72afac00c66a',\n",
       "    'step_two-193bc5f3-b363-40ad-93de-f05ad63f77fa',\n",
       "    'step_two-02dc5c15-abf2-4306-bb6a-589595b6f5ca',\n",
       "    'step_two-f70a249c-755a-4d1e-910e-2ee0a8276995'])}}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# or look at them this way\n",
    "final_results.dask.dicts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from dask.dot import dot_graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# output the .dot file to stick in other viewers, JS dot viewers anyone ;) \n",
    "dot_graph(final_results.dask,filename=\"out\", format=\"dot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "digraph {\r\n",
      "\tgraph [bb=\"0,0,394.21,509.76\",\r\n",
      "\t\trankdir=BT\r\n",
      "\t];\r\n",
      "\tnode [label=\"\\N\"];\r\n",
      "\t-9103822329785099968\t [height=0.5,\r\n",
      "\t\tlabel=\"step_one-#0\",\r\n",
      "\t\tpos=\"351.61,137.09\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1726];\r\n",
      "\t1357045913854894556\t [height=1.1678,\r\n",
      "\t\tlabel=step_two,\r\n",
      "\t\tpos=\"351.61,233.12\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.1678];\r\n",
      "\t-9103822329785099968 -> 1357045913854894556\t [pos=\"e,351.61,190.77 351.61,155.33 351.61,162.58 351.61,171.42 351.61,180.49\"];\r\n",
      "\t2097891257050554597\t [height=1.154,\r\n",
      "\t\tlabel=step_one,\r\n",
      "\t\tpos=\"351.61,41.543\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.154];\r\n",
      "\t2097891257050554597 -> -9103822329785099968\t [pos=\"e,351.61,118.67 351.61,83.3 351.61,91.829 351.61,100.63 351.61,108.54\"];\r\n",
      "\t-3387292268365584349\t [height=0.5,\r\n",
      "\t\tlabel=\"step_two-#1\",\r\n",
      "\t\tpos=\"42.607,329.16\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1835];\r\n",
      "\t8820195761208925187\t [height=0.75825,\r\n",
      "\t\tlabel=store,\r\n",
      "\t\tpos=\"196.61,410.46\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=0.75825];\r\n",
      "\t-3387292268365584349 -> 8820195761208925187\t [pos=\"e,172.68,397.14 75.644,347.17 101.62,360.55 137.63,379.09 163.6,392.46\"];\r\n",
      "\t-5671393214541444678\t [height=1.1678,\r\n",
      "\t\tlabel=step_two,\r\n",
      "\t\tpos=\"42.607,233.12\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.1678];\r\n",
      "\t-5671393214541444678 -> -3387292268365584349\t [pos=\"e,42.607,310.77 42.607,275.37 42.607,283.92 42.607,292.73 42.607,300.64\"];\r\n",
      "\t5120413858689746959\t [height=0.5,\r\n",
      "\t\tlabel=\"step_one-#2\",\r\n",
      "\t\tpos=\"42.607,137.09\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1726];\r\n",
      "\t5120413858689746959 -> -5671393214541444678\t [pos=\"e,42.607,190.77 42.607,155.33 42.607,162.58 42.607,171.42 42.607,180.49\"];\r\n",
      "\t5038466388477638633\t [height=0.5,\r\n",
      "\t\tlabel=\"step_two-#3\",\r\n",
      "\t\tpos=\"145.61,329.16\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1835];\r\n",
      "\t5038466388477638633 -> 8820195761208925187\t [pos=\"e,182.26,387.16 156.67,347.37 162.53,356.48 169.91,367.95 176.72,378.54\"];\r\n",
      "\t-6363367778970342112\t [height=1.1678,\r\n",
      "\t\tlabel=step_two,\r\n",
      "\t\tpos=\"145.61,233.12\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.1678];\r\n",
      "\t-6363367778970342112 -> 5038466388477638633\t [pos=\"e,145.61,310.77 145.61,275.37 145.61,283.92 145.61,292.73 145.61,300.64\"];\r\n",
      "\t1039325523540298613\t [height=0.5,\r\n",
      "\t\tlabel=\"step_one-#4\",\r\n",
      "\t\tpos=\"145.61,137.09\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1726];\r\n",
      "\t1039325523540298613 -> -6363367778970342112\t [pos=\"e,145.61,190.77 145.61,155.33 145.61,162.58 145.61,171.42 145.61,180.49\"];\r\n",
      "\t-2216465540824922419\t [height=0.5,\r\n",
      "\t\tlabel=\"step_two-#5\",\r\n",
      "\t\tpos=\"248.61,329.16\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1835];\r\n",
      "\t-2216465540824922419 -> 8820195761208925187\t [pos=\"e,211.23,387.16 237.32,347.37 231.35,356.48 223.83,367.95 216.88,378.54\"];\r\n",
      "\t293525702808837772\t [height=1.1678,\r\n",
      "\t\tlabel=step_two,\r\n",
      "\t\tpos=\"248.61,233.12\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.1678];\r\n",
      "\t293525702808837772 -> -2216465540824922419\t [pos=\"e,248.61,310.77 248.61,275.37 248.61,283.92 248.61,292.73 248.61,300.64\"];\r\n",
      "\t648435943316164887\t [height=0.5,\r\n",
      "\t\tlabel=\"step_one-#6\",\r\n",
      "\t\tpos=\"248.61,137.09\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1726];\r\n",
      "\t648435943316164887 -> 293525702808837772\t [pos=\"e,248.61,190.77 248.61,155.33 248.61,162.58 248.61,171.42 248.61,180.49\"];\r\n",
      "\t-4380186765190754466\t [height=1.154,\r\n",
      "\t\tlabel=step_one,\r\n",
      "\t\tpos=\"42.607,41.543\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.154];\r\n",
      "\t-4380186765190754466 -> 5120413858689746959\t [pos=\"e,42.607,118.67 42.607,83.3 42.607,91.829 42.607,100.63 42.607,108.54\"];\r\n",
      "\t-3208572322360684060\t [height=1.154,\r\n",
      "\t\tlabel=step_one,\r\n",
      "\t\tpos=\"145.61,41.543\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.154];\r\n",
      "\t-3208572322360684060 -> 1039325523540298613\t [pos=\"e,145.61,118.67 145.61,83.3 145.61,91.829 145.61,100.63 145.61,108.54\"];\r\n",
      "\t-6054114986517553706\t [height=1.154,\r\n",
      "\t\tlabel=step_one,\r\n",
      "\t\tpos=\"248.61,41.543\",\r\n",
      "\t\tshape=circle,\r\n",
      "\t\twidth=1.154];\r\n",
      "\t-6054114986517553706 -> 648435943316164887\t [pos=\"e,248.61,118.67 248.61,83.3 248.61,91.829 248.61,100.63 248.61,108.54\"];\r\n",
      "\t8610542964807254525\t [height=0.5,\r\n",
      "\t\tlabel=\"step_two-#7\",\r\n",
      "\t\tpos=\"351.61,329.16\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=1.1835];\r\n",
      "\t8610542964807254525 -> 8820195761208925187\t [pos=\"e,220.69,397.14 318.36,347.17 292.21,360.55 255.96,379.09 229.83,392.46\"];\r\n",
      "\t1357045913854894556 -> 8610542964807254525\t [pos=\"e,351.61,310.77 351.61,275.37 351.61,283.92 351.61,292.73 351.61,300.64\"];\r\n",
      "\t5248485788618847454\t [height=0.5,\r\n",
      "\t\tlabel=\"store-#8\",\r\n",
      "\t\tpos=\"196.61,491.76\",\r\n",
      "\t\tshape=box,\r\n",
      "\t\twidth=0.85939];\r\n",
      "\t8820195761208925187 -> 5248485788618847454\t [pos=\"e,196.61,473.44 196.61,437.87 196.61,446.01 196.61,455 196.61,463.22\"];\r\n",
      "}\r\n"
     ]
    }
   ],
   "source": [
    "!cat out.dot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}