influxdb-python vs aioinflux serialization.ipynb

{
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   "source": [
    "from influxdb.line_protocol import make_lines\n",
    "from aioinflux.serialization import make_line\n",
    "from aioinflux.testing_utils import random_point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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    {
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     "text": [
      "13.8 µs ± 672 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n",
      "95.7 µs ± 3.52 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
     ]
    }
   ],
   "source": [
    "# taken from https://influxdb-python.readthedocs.io/en/latest/include-readme.html#examples\n",
    "json_body = [\n",
    "    {\n",
    "        \"measurement\": \"cpu_load_short\",\n",
    "        \"tags\": {\n",
    "            \"host\": \"server01\",\n",
    "            \"region\": \"us-west\"\n",
    "        },\n",
    "        \"time\": \"2009-11-10T23:00:00Z\",\n",
    "        \"fields\": {\n",
    "            \"value\": 0.64\n",
    "        }\n",
    "    }\n",
    "]\n",
    "%timeit make_line(json_body[0])\n",
    "%timeit make_lines({'points': json_body})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.6 µs ± 205 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n",
      "93.8 µs ± 1.87 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
     ]
    }
   ],
   "source": [
    "p = random_point()\n",
    "%timeit make_line(p)\n",
    "%timeit make_lines({'points': [p]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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