netflix_consumer.ipynb

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   "source": [
    "import pandas as pd\n",
    "from kafka import KafkaConsumer\n",
    "from time import sleep\n",
    "from json import loads\n",
    "import json\n",
    "from s3fs import S3FileSystem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2ef8042f",
   "metadata": {},
   "outputs": [],
   "source": [
    "consumer = KafkaConsumer(\n",
    "    'netflix_data',\n",
    "    bootstrap_servers=['ec2-44-220-163-200.compute-1.amazonaws.com:9092'],\n",
    "    value_deserializer= lambda x: loads(x.decode('utf-8'))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93faa53d",
   "metadata": {},
   "outputs": [],
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    "s3 = S3FileSystem()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19a71e2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "for count, i in enumerate(consumer):\n",
    "#     print(i.value)\n",
    "#     print(count)\n",
    "    with s3.open(\"s3://gakas-kafka-netflix-data/movie_nb_{}.json\".format(count), 'w') as file:\n",
    "        json.dump(i.value, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c138dd68",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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