How to profile the import of an Airflow DAG definition file

DAG-Import-Profile.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%load_ext snakeviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2016-11-18 15:00:48,485] {__init__.py:36} INFO - Using executor SequentialExecutor\n"
     ]
    }
   ],
   "source": [
    "from airflow.bin import cli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "parser = cli.CLIFactory.get_parser()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "args = parser.parse_args(['test', 'atl', 'atl_is_done', '2016-11-16T00:00:00', '--dry_run'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Namespace(dag_id='atl', dry_run=True, execution_date=datetime.datetime(2016, 11, 16, 0, 0), func=<function test at 0x11093bea0>, subcommand='test', subdir='/Users/mattdavis/airflow/dags', task_id='atl_is_done', task_params=None)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "args"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2016-11-18 15:00:51,489] {models.py:154} INFO - Filling up the DagBag from /Users/mattdavis/airflow/dags\n",
      "[INFO    ] 2016-11-18 15:00:51.815000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:51.817000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:53.691000: timing Set up dependencies for all tasks\n",
      "[INFO    ] 2016-11-18 15:00:54.848000: elapsed time Set up dependencies for all tasks: 1.156\n",
      "[INFO    ] 2016-11-18 15:00:54.855000: timing make_last_task\n",
      "[INFO    ] 2016-11-18 15:00:54.865000: elapsed time make_last_task: 0.009\n",
      "[INFO    ] 2016-11-18 15:00:54.868000: timing make_first_task\n",
      "[INFO    ] 2016-11-18 15:00:55.748000: elapsed time make_first_task: 0.88\n",
      "[INFO    ] 2016-11-18 15:00:58.431000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:58.434000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:58.437000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:58.440000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:59.358000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:59.360000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:59.362000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:00:59.365000: Using connection to: localhost\n",
      "[INFO    ] 2016-11-18 15:01:00.280000: timing make_first_task\n",
      "[INFO    ] 2016-11-18 15:01:03.887000: elapsed time make_first_task: 3.607\n",
      "[INFO    ] 2016-11-18 15:01:04.075000: Dry run\n",
      " \n",
      "*** Profile stats marshalled to file '/var/folders/x6/p7mnf01514l7nkl52k9mlbbh0000gp/T/tmp0eb4jfsy'. \n"
     ]
    }
   ],
   "source": [
    "%snakeviz cli.test(args)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda env:provider_pipe]",
   "language": "python",
   "name": "conda-env-provider_pipe-py"
  },
  "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": 1
}