tutorials/024 - Athena Query Metadata.ipynb

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    "[![AWS SDK for pandas](_static/logo.png \"AWS SDK for pandas\")](https://github.com/aws/aws-sdk-pandas)\n",
    "\n",
    "# 24 - Athena Query Metadata\n",
    "\n",
    "For `wr.athena.read_sql_query()` and `wr.athena.read_sql_table()` the resulting DataFrame (or every DataFrame in the returned Iterator for chunked queries) have a `query_metadata` attribute, which brings the query result metadata returned by Boto3/Athena.\n",
    "\n",
    "The expected `query_metadata` format is the same returned by:\n",
    "\n",
    "https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/athena.html#Athena.Client.get_query_execution"
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Environment Variables"
   ]
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "env: WR_DATABASE=default\n"
     ]
    }
   ],
   "source": [
    "%env WR_DATABASE=default"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import awswrangler as wr"
   ]
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   "outputs": [
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   "source": [
    "df = wr.athena.read_sql_query(\"SELECT 1 AS foo\")\n",
    "\n",
    "df"
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   "source": [
    "## Getting statistics from query metadata"
   ]
  },
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DataScannedInBytes:            0\n",
      "TotalExecutionTimeInMillis:    2311\n",
      "QueryQueueTimeInMillis:        121\n",
      "QueryPlanningTimeInMillis:     250\n",
      "ServiceProcessingTimeInMillis: 37\n"
     ]
    }
   ],
   "source": [
    "print(f\"DataScannedInBytes:            {df.query_metadata['Statistics']['DataScannedInBytes']}\")\n",
    "print(f\"TotalExecutionTimeInMillis:    {df.query_metadata['Statistics']['TotalExecutionTimeInMillis']}\")\n",
    "print(f\"QueryQueueTimeInMillis:        {df.query_metadata['Statistics']['QueryQueueTimeInMillis']}\")\n",
    "print(f\"QueryPlanningTimeInMillis:     {df.query_metadata['Statistics']['QueryPlanningTimeInMillis']}\")\n",
    "print(f\"ServiceProcessingTimeInMillis: {df.query_metadata['Statistics']['ServiceProcessingTimeInMillis']}\")"
   ]
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