DataFrames can easily be manipulated with SQL queries in Spark.
In this recipe, we will learn how to create a temporary view so you can access the data within DataFrame using SQL.
Creating a temporary table
Getting ready
To execute this recipe, you need to have a working Spark 2.3 environment. You should have gone through the previous recipe, as we will be using the sample_data_schema DataFrame we created there.
There are no other requirements.
How to do it...
We simply use the .createTempView(...) method of a DataFrame:
sample_data_schema.createTempView('sample_data_view...
