Add Athena cache tutorial.

Author: igorborgest

README.md

@@ -97,6 +97,8 @@ wr.db.to_sql(df, engine, schema="test", name="my_table")
   - [016 - EMR & Docker](https://github.com/awslabs/aws-data-wrangler/blob/master/tutorials/016%20-%20EMR%20%26%20Docker.ipynb)
   - [017 - Partition Projection](https://github.com/awslabs/aws-data-wrangler/blob/master/tutorials/017%20-%20Partition%20Projection.ipynb)
   - [018 - QuickSight](https://github.com/awslabs/aws-data-wrangler/blob/master/tutorials/018%20-%20QuickSight.ipynb)
+  - [019 - Athena Cache](https://github.com/awslabs/aws-data-wrangler/blob/master/tutorials/019%20-%20athena%20cache.ipynb)
+  
 - [**API Reference**](https://aws-data-wrangler.readthedocs.io/en/latest/api.html)
   - [Amazon S3](https://aws-data-wrangler.readthedocs.io/en/latest/api.html#amazon-s3)
   - [AWS Glue Catalog](https://aws-data-wrangler.readthedocs.io/en/latest/api.html#aws-glue-catalog)

tutorials/006 - Amazon Athena.ipynb

@@ -66,27 +66,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Checking Glue Catalog Databases"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "            Database                                   Description\n",
-      "0  aws_data_wrangler  AWS Data Wrangler Test Arena - Glue Database\n",
-      "1            default                         Default Hive database\n"
-     ]
-    }
-   ],
-   "source": [
-    "databases = wr.catalog.databases()\n",
-    "print(databases)"
+    "## Checking/Creating Glue Catalog Databases"
    ]
   },
   {
@@ -106,11 +86,8 @@
     }
    ],
    "source": [
-    "if \"awswrangler_test\" not in databases.values:\n",
-    "    wr.catalog.create_database(\"awswrangler_test\")\n",
-    "    print(wr.catalog.databases())\n",
-    "else:\n",
-    "    print(\"Database awswrangler_test already exists\")"
+    "if \"awswrangler_test\" not in wr.catalog.databases().values:\n",
+    "    wr.catalog.create_database(\"awswrangler_test\")"
    ]
   },
   {
@@ -324,14 +301,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "res = wr.s3.to_parquet(\n",
+    "wr.s3.to_parquet(\n",
     "    df=df,\n",
     "    path=path,\n",
     "    dataset=True,\n",
     "    mode=\"overwrite\",\n",
     "    database=\"awswrangler_test\",\n",
     "    table=\"noaa\"\n",
-    ")"
+    ");"
    ]
   },
   {
@@ -1120,7 +1097,7 @@
     "    \"SELECT * FROM noaa\",\n",
     "    database=\"awswrangler_test\",\n",
     "    ctas_approach=False,\n",
-    "    chunksize=10_000_000\n",
+    "    chunksize=500_000\n",
     ")\n",
     "\n",
     "for df in dfs:  # Batching\n",
@@ -1147,7 +1124,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Cleaning Up the Database"
+    "## Delete table"
    ]
   },
   {
@@ -1156,15 +1133,14 @@
    "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\"])"
+    "wr.catalog.delete_table_if_exists(database=\"awswrangler_test\", table=\"noaa\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Delete Database"
+    "## Delete Database"
    ]
   },
   {
@@ -1193,7 +1169,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.6.10"
   },
   "pycharm": {
    "stem_cell": {