abafar-dask-demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2dcd01db-fc9e-42b6-8c13-df5ff7876595",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n"
     ]
    }
   ],
   "source": [
    "print('hello')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9e9ef947-c9b1-4706-8d9e-f3226e9a583f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask_gateway import Gateway\n",
    "gateway = Gateway()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a4f6cdad-1926-4bfc-9920-a18bf23a702e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# options = gateway.cluster_options()\n",
    "# options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ef8e5b2-c073-4eed-859b-44a363cb9403",
   "metadata": {},
   "outputs": [],
   "source": [
    "# launch a cluster with the options selected via the widgets above\n",
    "# cluster = gateway.new_cluster(options)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f991632c-560d-49a5-a6d5-396159f61809",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3def748988bc444cbbdbadbd2a767054",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<h2>GatewayCluster</h2>'), HBox(children=(HTML(value='\\n<div>\\n<style scoped>\\n    …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# launch a cluster specifying environment and profile as arguments\n",
    "# may take a few minutes to provision VM for the scheduler\n",
    "cluster = gateway.new_cluster(environment=\"abafar-20210701a\", profile=\"High Memory Worker\")\n",
    "cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "697a5cd3-34ec-41bc-828c-00aad0894f37",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.scale(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a4e63eaf-ffbd-4c69-b32e-b179b7fdf95d",
   "metadata": {},
   "outputs": [],
   "source": [
    "client = cluster.get_client()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b513edaa-3fef-48e0-8333-74732e51f1b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.00083673, 1.00276507, 0.99661714, ..., 1.00159093, 1.00030677,\n",
       "       0.99948974])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import dask.array as da\n",
    "x = da.random.random((50000, 50000), chunks=(1000, 1000))\n",
    "y = x + x.T\n",
    "z = y[::2, 5000:].mean(axis=1)\n",
    "z.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "87ef4049-2c96-4256-bbb2-494dc84fa3d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.scale(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de4c410b-dcc8-47ad-8b6b-2c05b58f22a7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:abafar-20210701a]",
   "language": "python",
   "name": "conda-env-abafar-20210701a-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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}