Udemy 11. Understanding Delta Tables - Creating a Delta Lake Table
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Questions and Answers

What is the default format of the table created in Delta Lake?

  • CSV
  • JSON
  • Parquet
  • Delta (correct)
  • What command is used to explore table metadata in Delta Lake?

  • SHOW TABLE
  • DESCRIBE
  • DESCRIBE DETAIL (correct)
  • DESCRIBE FORMATTED
  • What information can be seen in the table metadata in Delta Lake?

  • Only the location of the table
  • The table schema, location, and number of files (correct)
  • The table schema, location, and query history
  • Only the table schema
  • What is the purpose of the 'USING DELTA' keyword in Delta Lake?

    <p>It is not used in Delta Lake</p> Signup and view all the answers

    Why does Spark create four files for a single insert operation?

    <p>Because the cluster has four cores, and each core executes one file</p> Signup and view all the answers

    What happens to the original files when an update operation is performed on a Delta table?

    <p>They are left unchanged, and new files are added with the updated data</p> Signup and view all the answers

    What is the purpose of the transaction log in Delta Lake?

    <p>To store the history of operations on the table</p> Signup and view all the answers

    How many versions of the table are stored in the transaction log?

    <p>Three, representing the initial creation, insert, and update operations</p> Signup and view all the answers

    What is stored in the _delta_log folder in the table directory?

    <p>The transaction log in JSON format</p> Signup and view all the answers

    What information can be found in the JSON files in the _delta_log folder?

    <p>The list of files added and removed from the table</p> Signup and view all the answers

    What is the main reason why the update operation resulted in two new files being added to the directory?

    <p>Because the Delta Lake table uses a parallel processing approach</p> Signup and view all the answers

    What is the primary function of the transaction log in Delta Lake?

    <p>To store the history of all operations on the table</p> Signup and view all the answers

    What happens to the files that are no longer valid in the current version of the table?

    <p>They are soft deleted from the table</p> Signup and view all the answers

    What is the purpose of the DESCRIBE DETAIL command in Delta Lake?

    <p>To view the current version of the table</p> Signup and view all the answers

    What is stored in the JSON files in the _delta_log folder?

    <p>The transaction information, including adds and removes</p> Signup and view all the answers

    What is the main advantage of using Delta Lake's transaction log?

    <p>It provides a full history of all operations on the table</p> Signup and view all the answers

    What is the benefit of using the DESCRIBE DETAIL command in Delta Lake?

    <p>It provides information about the table metadata.</p> Signup and view all the answers

    What happens when we create a table in Delta Lake without specifying the USING DELTA keyword?

    <p>The table is created as a Delta Lake table by default.</p> Signup and view all the answers

    What is the benefit of using INSERT INTO statements in Delta Lake?

    <p>It allows us to insert multiple records into the table in a single transaction.</p> Signup and view all the answers

    What is the purpose of the table schema in Delta Lake?

    <p>It is used to define the structure of the table.</p> Signup and view all the answers

    What can be seen in the Location field of the table metadata in Delta Lake?

    <p>The location where the table files are stored.</p> Signup and view all the answers

    Study Notes

    Creating a Delta Lake Table

    • A Delta Lake table is created using a CREATE TABLE statement with a table name and schema.
    • The table schema defines the columns and their data types, e.g., ID of type integer, Name of type String, and Salary of type double.
    • Delta Lake is the default format, so the USING DELTA keyword is not required.

    Confirming Table Creation

    • The table is created in the default database.
    • The table schema can be viewed in the Data tab, including columns and metadata information.

    Inserting Records

    • Records are inserted using an INSERT INTO statement.
    • Multiple records can be inserted in a single transaction.

    Querying the Table

    • The table can be queried using a standard SELECT statement.

    Table Metadata

    • The DESCRIBE DETAIL command provides metadata information about the table.
    • Metadata includes table location, number of files, and other information.
    • The table location is where the table files are stored.
    • The number of files indicates the number of data files in the current table version.

    Exploring Table Files

    • The %fs Magic Command can be used to explore the table files.
    • The table directory contains data files in parquet format.
    • The number of files is determined by the number of parallel executors in the Spark cluster.

    Update Operations

    • Update operations are performed using a UPDATE statement.
    • Updates create new files instead of modifying existing ones.
    • The transaction log is used to indicate which files are valid in the current version of the table.

    Table History

    • The DESCRIBE HISTORY command provides a history of the table.
    • The transaction log stores all changes to the table, allowing for easy review of table history.
    • The transaction log is located in the _delta_log folder in the table directory.
    • Each transaction is a new JSON file written to the Delta Lake transaction log.

    Transaction Log

    • The transaction log contains JSON files representing each transaction.
    • The JSON files contain information about the new files written to the table and the files that have been soft deleted.
    • The transaction log allows for easy tracking of changes to the table.

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    Description

    Learn how to create an empty Delta Lake table with a CREAT TABLE statement, specifying the table name and schema. The ID is of type integer, Name is a String, and Salary is a double.

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