{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from neptune_python_utils.bulkload import BulkLoad\n",
    "\n",
    "bulkload = BulkLoad(source='s3://aws-neptune-customer-samples-${AWS_REGION}/neptune-sagemaker/data/let-me-graph-that-for-you/01-air-routes/')\n",
    "bulkload.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download gremlin-client-demo.jar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "\n",
    "rm -rf gremlin-client-demo.jar && \\\n",
    "  aws s3 cp s3://aws-neptune-customer-samples-${AWS_REGION}/neptune-sagemaker/bin/neptune-gremlin-client/gremlin-client-demo.jar /home/ec2-user"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}