Getting TABLE_OR_VIEW_NOT_FOUND when running spark.table("demo.rpc.pizzas")

[srahimeen]

I'm following the instructions in the readme and am stuck on Step 8.

When I run df = spark.table("demo.rpc.pizzas") I get the following error:

>>> df = spark.table("demo.rpc.pizzas")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/spark/python/pyspark/sql/session.py", line 1667, in table
    return DataFrame(self._jsparkSession.table(tableName), self)
  File "/opt/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
  File "/opt/spark/python/pyspark/errors/exceptions/captured.py", line 185, in deco
    raise converted from None
pyspark.errors.exceptions.captured.AnalysisException: [TABLE_OR_VIEW_NOT_FOUND] The table or view `demo`.`rpc`.`pizzas` cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS.;
'UnresolvedRelation [demo, rpc, pizzas], [], false

Is there a step missing in the demo where it was supposed to create the catalog and the table?