What are the two main parts of a table in Spark?
Spark Programming in Python for Beginners with Apache Spark 3 - Spark Databases and Tables
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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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This video tutorial covers the basics of Apache Spark as a database, focusing on the creation and management of databases and tables. It explains the concept of metadata and the role of the metastore, particularly the use of the Apache Hive metastore for persistence. The tutorial distinguishes between managed and unmanaged tables, highlighting their differences in data storage and management. It also discusses the implications of dropping tables and the future enhancements in Spark SQL, emphasizing the advantages of managed tables.
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the role of the metastore in Spark.
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the difference between managed tables and unmanaged tables in Spark.
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4.
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3 mins • 1 pt
What is the Spark SQL Warehouse directory?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
How does Spark handle metadata for unmanaged tables?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What happens to the data files when a managed table is dropped?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
Why are managed tables preferred over unmanaged tables in Spark?
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