03-Create-SparkSession.ipynb

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    "# Set the PySpark environment variables\n",
    "import os\n",
    "os.environ['SPARK_HOME'] = \"/Users/coder2j/Apps/Spark\"\n",
    "os.environ['PYSPARK_DRIVER_PYTHON'] = 'jupyter'\n",
    "os.environ['PYSPARK_DRIVER_PYTHON_OPTS'] = 'lab'\n",
    "os.environ['PYSPARK_PYTHON'] = 'python'"
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   "source": [
    "## Create SparkSession in Apache Spark"
   ]
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     "text": [
      "Setting default log level to \"WARN\".\n",
      "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
      "23/07/16 15:31:33 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\n"
     ]
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   "source": [
    "from pyspark.sql import SparkSession\n",
    "\n",
    "# Create a SparkSession\n",
    "spark = SparkSession.builder \\\n",
    "    .appName(\"MySparkApplication\") \\\n",
    "    .config(\"spark.executor.memory\", \"2g\") \\\n",
    "    .config(\"spark.sql.shuffle.partitions\", \"4\") \\\n",
    "    .getOrCreate()"
   ]
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     "data": {
      "text/html": [
       "\n",
       "            <div>\n",
       "                <p><b>SparkSession - in-memory</b></p>\n",
       "                \n",
       "        <div>\n",
       "            <p><b>SparkContext</b></p>\n",
       "\n",
       "            <p><a href=\"http://imac.fritz.box:4040\">Spark UI</a></p>\n",
       "\n",
       "            <dl>\n",
       "              <dt>Version</dt>\n",
       "                <dd><code>v3.4.1</code></dd>\n",
       "              <dt>Master</dt>\n",
       "                <dd><code>local[*]</code></dd>\n",
       "              <dt>AppName</dt>\n",
       "                <dd><code>MySparkApplication</code></dd>\n",
       "            </dl>\n",
       "        </div>\n",
       "        \n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "<pyspark.sql.session.SparkSession at 0x10bb6e170>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Perform operations using the SparkSession\n",
    "spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d0c09484-8c96-4c73-9dde-cd8587b0c80f",
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   "outputs": [],
   "source": [
    "# Shut down the current active SparkSession\n",
    "spark.stop()"
   ]
  },
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