how to create a spark schema using a string 1

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.

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