how to create a spark schema using a string
DDLSchema = "user_id string, user_first_touch_timestamp long, email string" usersDF = (spark.read .option("sep", "\t") .option("header", True) .schema(DDLSchema) .csv(usersCsvPath))
Here is what the above code is Doing:
1. We’re reading the CSV file into a DataFrame.
2. We’re specifying the schema of the DataFrame.
3. We’re specifying the separator as a tab.
4. We’re specifying that the CSV file has a header.