24 Lecture - Vertical Partitioning

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24 Lecture

CS403

Midterm & Final Term Short Notes

Vertical Partitioning

Vertical partitioning, also known as column partitioning, is a database optimization technique in which a large table is divided into smaller, more manageable tables based on columns or attributes. This can improve query performance by reducing


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  1. What is vertical partitioning in a database? A) Dividing tables horizontally B) Dividing tables vertically C) Dividing data into multiple databases D) None of the above Answer: B) Dividing tables vertically Which of the following is a benefit of vertical partitioning? A) Improved data redundancy B) Improved data consistency C) Improved query performance D) Reduced storage space Answer: C) Improved query performance What is another name for vertical partitioning? A) Row partitioning B) Column partitioning C) Table partitioning D) None of the above Answer: B) Column partitioning When is vertical partitioning particularly useful? A) When a database contains a large number of rows B) When a database contains a small number of columns C) When certain columns are accessed more frequently than others D) When a database is used for infrequent data access Answer: C) When certain columns are accessed more frequently than others Which of the following is a potential drawback of vertical partitioning? A) Increased storage space B) Reduced query performance C) Increased data redundancy D) Reduced data consistency Answer: A) Increased storage space What is the main goal of vertical partitioning? A) To improve data redundancy B) To improve query performance C) To improve data consistency D) To reduce storage space Answer: B) To improve query performance Which of the following is an example of vertical partitioning? A) Splitting a table into multiple tables based on a date range B) Splitting a table into multiple tables based on location C) Splitting a table into multiple tables based on column values D) None of the above Answer: C) Splitting a table into multiple tables based on column values What is a potential challenge of managing a vertically partitioned database? A) Ensuring data consistency across partitions B) Managing large amounts of data within a single table C) Maintaining sufficient storage capacity D) None of the above Answer: A) Ensuring data consistency across partitions Which of the following is a benefit of vertical partitioning in a distributed database? A) Improved query performance B) Improved data redundancy C) Improved data consistency D) None of the above Answer: A) Improved query performance What is a key consideration when deciding whether to use vertical partitioning? A) The number of rows in the database B) The number of columns in the database C) The access patterns for the data D) The amount of available storage space Answer: C) The access patterns for the data


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Midterm & Finalterm Prepration
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  1. What is Vertical Partitioning in database design? Vertical partitioning is the process of splitting a table into smaller sub-tables based on columns. Each sub-table contains a subset of the original table columns. What are the benefits of vertical partitioning? Vertical partitioning can improve performance by reducing the amount of data read from disk, increasing cache efficiency, and reducing contention for table-level locks. It can also simplify queries by reducing the number of columns that need to be accessed. What are the drawbacks of vertical partitioning? Vertical partitioning can make it more difficult to perform certain queries that involve multiple sub-tables. It can also increase the complexity of the database schema and make it more difficult to maintain. How do you decide which columns to partition vertically? The decision of which columns to partition vertically depends on the access patterns of the application. Columns that are frequently accessed together should be placed in the same sub-table to improve performance. How do you implement vertical partitioning in a database? Vertical partitioning can be implemented using a variety of techniques, including partitioned views, table inheritance, or custom partitioning schemes implemented in the application layer. What is table inheritance in vertical partitioning? Table inheritance is a technique in which a set of related tables share a common set of columns, with each table containing additional columns that are specific to that table. How can you measure the performance impact of vertical partitioning? The performance impact of vertical partitioning can be measured by comparing the execution time of queries against the original table to the execution time of queries against the partitioned tables. How does vertical partitioning differ from horizontal partitioning? Vertical partitioning involves splitting a table into smaller sub-tables based on columns, while horizontal partitioning involves splitting a table into smaller sub-tables based on rows. What are some common use cases for vertical partitioning? Vertical partitioning is commonly used in databases with large tables that are frequently queried, such as transactional systems or data warehouses. What are some best practices for implementing vertical partitioning? Best practices for implementing vertical partitioning include analyzing the access patterns of the application, using a consistent partitioning strategy, and maintaining referential integrity across partitioned tables.

Vertical partitioning, also known as vertical sharding, is a technique used in database design to split a large table into smaller tables based on the columns. This technique can help to improve the performance of database operations by reducing the amount of data that needs to be retrieved or updated. In vertical partitioning, columns that are frequently used together are placed in the same table. This can help to reduce the number of joins required to retrieve the necessary data, which can improve query performance. Additionally, by storing only the columns that are necessary for a given query in a table, the amount of data that needs to be retrieved from disk can be reduced, which can further improve performance. Vertical partitioning can be particularly useful for databases that are read-heavy, as it can help to reduce the amount of data that needs to be read from disk. However, it can also increase the complexity of database queries, as multiple tables may need to be joined together to retrieve the necessary data. Overall, vertical partitioning is a useful technique for improving the performance of large databases with complex data models. However, it should be used judiciously, as it can increase the complexity of database queries and may require additional maintenance overhead.

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