tutorials/010 - Parquet Crawler.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![AWS SDK for pandas](_static/logo.png \"AWS SDK for pandas\")](https://github.com/aws/aws-sdk-pandas)\n",
    "\n",
    "# 10 - Parquet Crawler\n",
    "\n",
    "[awswrangler](https://github.com/aws/aws-sdk-pandas) can extract only the metadata from Parquet files and Partitions and then add it to the Glue Catalog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import awswrangler as wr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Enter your bucket name:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      " ············\n"
     ]
    }
   ],
   "source": [
    "import getpass\n",
    "\n",
    "bucket = getpass.getpass()\n",
    "path = f\"s3://{bucket}/data/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a Parquet Table from the NOAA's CSV files\n",
    "\n",
    "[Reference](https://registry.opendata.aws/noaa-ghcn/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>dt</th>\n",
       "      <th>element</th>\n",
       "      <th>value</th>\n",
       "      <th>m_flag</th>\n",
       "      <th>q_flag</th>\n",
       "      <th>s_flag</th>\n",
       "      <th>obs_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGE00135039</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGE00135039</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGE00135039</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGE00147705</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AGE00147705</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29249753</th>\n",
       "      <td>UZM00038457</td>\n",
       "      <td>1899-12-31</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>r</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29249754</th>\n",
       "      <td>UZM00038457</td>\n",
       "      <td>1899-12-31</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>r</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29249755</th>\n",
       "      <td>UZM00038618</td>\n",
       "      <td>1899-12-31</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>-76</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>r</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29249756</th>\n",
       "      <td>UZM00038618</td>\n",
       "      <td>1899-12-31</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>r</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29249757</th>\n",
       "      <td>UZM00038618</td>\n",
       "      <td>1899-12-31</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>r</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29249758 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   id         dt element  value m_flag q_flag s_flag obs_time\n",
       "0         AGE00135039 1890-01-01    TMAX    160    NaN    NaN      E      NaN\n",
       "1         AGE00135039 1890-01-01    TMIN     30    NaN    NaN      E      NaN\n",
       "2         AGE00135039 1890-01-01    PRCP     45    NaN    NaN      E      NaN\n",
       "3         AGE00147705 1890-01-01    TMAX    140    NaN    NaN      E      NaN\n",
       "4         AGE00147705 1890-01-01    TMIN     74    NaN    NaN      E      NaN\n",
       "...               ...        ...     ...    ...    ...    ...    ...      ...\n",
       "29249753  UZM00038457 1899-12-31    PRCP     16    NaN    NaN      r      NaN\n",
       "29249754  UZM00038457 1899-12-31    TAVG    -73    NaN    NaN      r      NaN\n",
       "29249755  UZM00038618 1899-12-31    TMIN    -76    NaN    NaN      r      NaN\n",
       "29249756  UZM00038618 1899-12-31    PRCP      0    NaN    NaN      r      NaN\n",
       "29249757  UZM00038618 1899-12-31    TAVG    -60    NaN    NaN      r      NaN\n",
       "\n",
       "[29249758 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = [\"id\", \"dt\", \"element\", \"value\", \"m_flag\", \"q_flag\", \"s_flag\", \"obs_time\"]\n",
    "\n",
    "df = wr.s3.read_csv(\n",
    "    path=\"s3://noaa-ghcn-pds/csv/by_year/189\", names=cols, parse_dates=[\"dt\", \"obs_time\"]\n",
    ")  # Read 10 files from the 1890 decade (~1GB)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>dt</th>\n",
       "      <th>element</th>\n",
       "      <th>value</th>\n",
       "      <th>m_flag</th>\n",
       "      <th>q_flag</th>\n",
       "      <th>s_flag</th>\n",
       "      <th>obs_time</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGE00135039</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGE00135039</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGE00135039</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1890</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            id         dt element  value m_flag q_flag s_flag obs_time  year\n",
       "0  AGE00135039 1890-01-01    TMAX    160    NaN    NaN      E      NaN  1890\n",
       "1  AGE00135039 1890-01-01    TMIN     30    NaN    NaN      E      NaN  1890\n",
       "2  AGE00135039 1890-01-01    PRCP     45    NaN    NaN      E      NaN  1890"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"year\"] = df[\"dt\"].dt.year\n",
    "\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = wr.s3.to_parquet(\n",
    "    df=df,\n",
    "    path=path,\n",
    "    dataset=True,\n",
    "    mode=\"overwrite\",\n",
    "    partition_cols=[\"year\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['year=1890/06a519afcf8e48c9b08c8908f30adcfe.snappy.parquet',\n",
       " 'year=1891/5a99c28dbef54008bfc770c946099e02.snappy.parquet',\n",
       " 'year=1892/9b1ea5d1cfad40f78c920f93540ca8ec.snappy.parquet',\n",
       " 'year=1893/92259b49c134401eaf772506ee802af6.snappy.parquet',\n",
       " 'year=1894/c734469ffff944f69dc277c630064a16.snappy.parquet',\n",
       " 'year=1895/cf7ccde86aaf4d138f86c379c0817aa6.snappy.parquet',\n",
       " 'year=1896/ce02f4c2c554438786b766b33db451b6.snappy.parquet',\n",
       " 'year=1897/e04de04ad3c444deadcc9c410ab97ca1.snappy.parquet',\n",
       " 'year=1898/acb0e02878f04b56a6200f4b5a97be0e.snappy.parquet',\n",
       " 'year=1899/a269bdbb0f6a48faac55f3bcfef7df7a.snappy.parquet']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[x.split(\"data/\", 1)[1] for x in wr.s3.list_objects(path)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Crawling!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.81 s, sys: 528 ms, total: 2.33 s\n",
      "Wall time: 3.21 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "res = wr.s3.store_parquet_metadata(\n",
    "    path=path, database=\"awswrangler_test\", table=\"crawler\", dataset=True, mode=\"overwrite\", dtype={\"year\": \"int\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Column Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>Partition</th>\n",
       "      <th>Comment</th>\n",
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       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dt</td>\n",
       "      <td>timestamp</td>\n",
       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>element</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>value</td>\n",
       "      <td>bigint</td>\n",
       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>m_flag</td>\n",
       "      <td>string</td>\n",
       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>q_flag</td>\n",
       "      <td>string</td>\n",
       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>s_flag</td>\n",
       "      <td>string</td>\n",
       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>obs_time</td>\n",
       "      <td>string</td>\n",
       "      <td>False</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>year</td>\n",
       "      <td>int</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Column Name       Type  Partition Comment\n",
       "0          id     string      False        \n",
       "1          dt  timestamp      False        \n",
       "2     element     string      False        \n",
       "3       value     bigint      False        \n",
       "4      m_flag     string      False        \n",
       "5      q_flag     string      False        \n",
       "6      s_flag     string      False        \n",
       "7    obs_time     string      False        \n",
       "8        year        int       True        "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wr.catalog.table(database=\"awswrangler_test\", table=\"crawler\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.52 s, sys: 811 ms, total: 4.33 s\n",
      "Wall time: 9.6 s\n"
     ]
    },
    {
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       "      <th>element</th>\n",
       "      <th>value</th>\n",
       "      <th>m_flag</th>\n",
       "      <th>q_flag</th>\n",
       "      <th>s_flag</th>\n",
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       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>USC00195145</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>-28</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>USC00196770</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>PRCP</td>\n",
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       "      <td>P</td>\n",
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       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>USC00196770</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>USC00196915</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>P</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>USC00196915</td>\n",
       "      <td>1890-01-01</td>\n",
       "      <td>SNOW</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6139</th>\n",
       "      <td>ASN00022006</td>\n",
       "      <td>1890-12-03</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>a</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6140</th>\n",
       "      <td>ASN00022007</td>\n",
       "      <td>1890-12-03</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>a</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6141</th>\n",
       "      <td>ASN00022008</td>\n",
       "      <td>1890-12-03</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>a</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6142</th>\n",
       "      <td>ASN00022009</td>\n",
       "      <td>1890-12-03</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>a</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6143</th>\n",
       "      <td>ASN00022011</td>\n",
       "      <td>1890-12-03</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>a</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1890</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1276246 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id         dt element  value m_flag q_flag s_flag obs_time  \\\n",
       "0     USC00195145 1890-01-01    TMIN    -28   <NA>   <NA>      6     <NA>   \n",
       "1     USC00196770 1890-01-01    PRCP      0      P   <NA>      6     <NA>   \n",
       "2     USC00196770 1890-01-01    SNOW      0   <NA>   <NA>      6     <NA>   \n",
       "3     USC00196915 1890-01-01    PRCP      0      P   <NA>      6     <NA>   \n",
       "4     USC00196915 1890-01-01    SNOW      0   <NA>   <NA>      6     <NA>   \n",
       "...           ...        ...     ...    ...    ...    ...    ...      ...   \n",
       "6139  ASN00022006 1890-12-03    PRCP      0   <NA>   <NA>      a     <NA>   \n",
       "6140  ASN00022007 1890-12-03    PRCP      0   <NA>   <NA>      a     <NA>   \n",
       "6141  ASN00022008 1890-12-03    PRCP      0   <NA>   <NA>      a     <NA>   \n",
       "6142  ASN00022009 1890-12-03    PRCP      0   <NA>   <NA>      a     <NA>   \n",
       "6143  ASN00022011 1890-12-03    PRCP      0   <NA>   <NA>      a     <NA>   \n",
       "\n",
       "      year  \n",
       "0     1890  \n",
       "1     1890  \n",
       "2     1890  \n",
       "3     1890  \n",
       "4     1890  \n",
       "...    ...  \n",
       "6139  1890  \n",
       "6140  1890  \n",
       "6141  1890  \n",
       "6142  1890  \n",
       "6143  1890  \n",
       "\n",
       "[1276246 rows x 9 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "wr.athena.read_sql_query(\"SELECT * FROM crawler WHERE year=1890\", database=\"awswrangler_test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning Up S3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "wr.s3.delete_objects(path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning Up the Database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "for table in wr.catalog.get_tables(database=\"awswrangler_test\"):\n",
    "    wr.catalog.delete_table_if_exists(database=\"awswrangler_test\", table=table[\"Name\"])"
   ]
  }
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