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Caching and uncaching tables

In the lesson we learned that tables can be cached. Whereas a dataframe is cached using a cache or persist operation, a table is cached using a cacheTable operation.

A table called table1 is available.

This exercise is part of the course

Introduction to Spark SQL in Python

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Exercise instructions

  • List the tables with the listTables() method.
  • Cache table1 and confirm that it is cached.
  • Uncache table1 and confirm that it is uncached.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# List the tables
print("Tables:\n", spark.____.____())

# Cache table1 and Confirm that it is cached
spark.catalog.____('table1')
print("table1 is cached: ", spark.catalog.____('table1'))

# Uncache table1 and confirm that it is uncached
spark.catalog.____('table1')
print("table1 is cached: ", spark.catalog.____('table1'))
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