HDFS_Consumer.ipynb

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   "cell_type": "code",
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   "source": [
    "from kafka import KafkaProducer\n",
    "from kafka import KafkaConsumer\n",
    "import pyarrow as pa\n",
    "from datetime import datetime\n",
    "import json\n",
    "from time import sleep\n",
    "import csv\n",
    "import re\n",
    "import os.path as osp\n",
    "import os\n",
    "import shutil\n",
    "\n",
    "# HDFS\n",
    "host = 'localhost'\n",
    "hdfs_port = 8020\n",
    "hdfs_username = 'hdfs'\n",
    "hdfs_password = 'naya'\n",
    "hdfs_driver = 'libhdfs'\n",
    "hdfs_kerberos_ticket = None\n",
    "hdfs_extra_conf = None\n",
    "stg_dir = '/tmp/project/'\n",
    "\n",
    "# # Topics/Brokers\n",
    "topic1 = 'TweeterArchive'\n",
    "brokers = ['localhost:9092']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "consumer = KafkaConsumer(\n",
    "    topic1,\n",
    "    group_id = 'File_MySQL_HDFS',\n",
    "    bootstrap_servers = ['localhost:9092'],\n",
    "    auto_offset_reset = 'largest',\n",
    "    enable_auto_commit = True,\n",
    "    auto_commit_interval_ms = 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = pa.hdfs.connect(\n",
    "    host='localhost', \n",
    "    port=8020, \n",
    "    user='hdfs', \n",
    "    kerb_ticket=None, \n",
    "    driver='libhdfs', \n",
    "    extra_conf=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create hdsf staging dir if needed\n",
    "\n",
    "if fs.exists(stg_dir):\n",
    "    fs.rm(stg_dir, recursive=True)\n",
    "    fs.mkdir(stg_dir)\n",
    "else:\n",
    "    fs.mkdir(stg_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create local staging dir if needed\n",
    "\n",
    "if  osp.exists(stg_dir):\n",
    "    shutil.rmtree(stg_dir, ignore_errors=True)\n",
    "    os.mkdir(stg_dir)\n",
    "else:\n",
    "    os.mkdir(stg_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i, message in enumerate(consumer):\n",
    "    events = json.loads(message.value)\n",
    "    event_ts = 'event_' + datetime.now().strftime(\"%Y_%m_%d_%H-%M-%S\") + '.json'  \n",
    "    print(events) \n",
    "    file_path = '/tmp/project/' + event_ts\n",
    "    with open(file_path,'w') as f:\n",
    "        json.dump(events, f)\n",
    "    with  open(file_path, 'rb') as f:\n",
    "        fs.upload(file_path, f)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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