{
    "nbformat": 4,
    "nbformat_minor": 2,
    "metadata": {
        "save_output": true,
        "synapse_widget": {
            "version": "0.1",
            "state": {}
        },
        "kernelspec": {
            "name": "synapse_pyspark",
            "display_name": "python"
        },
        "language_info": {
            "name": "python"
        }
    },
    "cells": [
        {
            "execution_count": null,
            "cell_type": "code",
            "metadata": {},
            "source": [
                "from pyspark.sql import SparkSession\n",
                "from pyspark.sql.types import *\n",
                "account_name = \"devfiles001\"\n",
                "container_name = \"testfolder\"\n",
                "relative_path = \"\"\n",
                "adls_path = 'abfss://%s@%s.dfs.core.windows.net/%s' % (container_name, account_name, relative_path)\n",
                " "
            ],
            "outputs": []
        },
        {
            "execution_count": null,
            "cell_type": "code",
            "metadata": {
                "jupyter": {
                    "source_hidden": false,
                    "outputs_hidden": false
                },
                "nteract": {
                    "transient": {
                        "deleting": false
                    }
                }
            },
            "source": [
                "df1 = spark.read.option('header', 'true') \\\n",
                "                .option('delimiter', ',') \\\n",
                "                .csv(adls_path + '/Book1.csv')"
            ],
            "outputs": []
        }
    ]
}