Once you have created a temporary view, you cannot create another view with the same name. However, Spark provides another method that allows us to either create or update a view: .createOrReplaceTempView(...). As the name suggests, by calling this method, we either create a new view if one does not exist, or we replace an already existing one with the new one:

sample_data_schema.createOrReplaceTempView('sample_data_view')

As before, we can now use it to interact with the data using SQL queries:

spark.sql('''
    SELECT Model
        , Year
        , RAM
        , HDD
        , ScreenSize
    FROM sample_data_view
''').show()

Here's what we get back: