38 Lecture

CS403

Midterm & Final Term Short Notes

Ordered Indices

Ordered indices are a type of index used in databases to store data in a specific order based on the values of one or more columns. This allows for fast retrieval of data based on the order of the index, and it can be useful for range queries an


Important Mcq's
Midterm & Finalterm Prepration
Past papers included

Download PDF
  1. What are ordered indices? A. A type of index used to store data in random order. B. A type of index used to store data in a specific order based on one or more columns. C. A type of index used only for range queries. D. A type of index that is not commonly used in databases. Answer: B Which data structure is commonly used to implement ordered indices? A. Hash table B. Linked list C. B-tree D. Queue Answer: C What is the primary benefit of using an ordered index? A. Improved data consistency B. Reduced storage requirements C. Faster data retrieval based on specific column values D. Improved data security Answer: C Can multiple ordered indices be created on the same table in a database? A. Yes B. No Answer: A What is a clustered index in a database? A. An index used to store data in random order B. An index used to store data in a specific order based on one or more columns C. An index used only for range queries D. An index that is not commonly used in databases Answer: B What is the difference between a primary key index and a clustered index? A. There is no difference. B. A primary key index includes only unique values, while a clustered index can include duplicates. C. A primary key index is used to ensure data consistency and integrity, while a clustered index is used for fast retrieval of data in a specific order. D. A primary key index is used for range queries, while a clustered index is used for specific value queries. Answer: C What is the downside of using too many ordered indices in a database? A. Increased storage requirements B. Slower data retrieval performance C. Increased data inconsistency D. Decreased data security Answer: A What is a composite index in a database? A. An index used to store data in random order B. An index used to store data in a specific order based on one column only C. An index used to store data in a specific order based on multiple columns D. An index used only for range queries Answer: C Can an ordered index be used for sorting data? A. Yes B. No Answer: A What is the most common type of data structure used to implement ordered indices? A. Hash table B. Linked list C. B-tree D. Queue Answer: C


Subjective Short Notes
Midterm & Finalterm Prepration
Past papers included

Download PDF
  1. What is an ordered index in a database? Answer: An ordered index is a type of index used to store data in a specific order based on one or more columns. This allows for faster retrieval of data based on the order of the index. How are ordered indices implemented in a database? Answer: Ordered indices can be implemented using a B-tree or a similar data structure. What is a primary key index in a database? Answer: A primary key index is an index that includes only unique values of a particular column and is used to enforce the uniqueness constraint on that column. What is a clustered index in a database? Answer: A clustered index is an index that stores data in a specific order based on a particular column, allowing for fast retrieval of data in that order. What is the difference between a clustered index and a non-clustered index? Answer: A clustered index stores data in a specific order, while a non-clustered index does not. Non-clustered indexes are used to speed up data retrieval operations for non-clustered queries. How do ordered indices improve query performance? Answer: Ordered indices allow for faster retrieval of data based on the order of the index, making it useful for range queries and sorting operations. What is the downside of using too many ordered indices in a database? Answer: Using too many ordered indices can increase storage requirements and slow down insert and update operations. Can multiple ordered indices be created on the same table in a database? Answer: Yes, multiple ordered indices can be created on the same table in a database. What is a composite index in a database? Answer: A composite index is an index that is based on multiple columns. How can index fragmentation affect database performance? Answer: Index fragmentation can slow down data retrieval operations, making it important to regularly defragment and maintain ordered indices.

In a relational database, an index is a data structure used to speed up queries on a particular table. Ordered indices are a type of index used to store data in a specific order based on one or more columns. This order allows for faster retrieval of data based on the order of the index, making it useful for range queries and sorting operations. Ordered indices are typically implemented using a B-tree data structure or a similar indexing method. In a B-tree, each node represents a range of key values, and each leaf node contains a pointer to a particular row in the table. The B-tree allows for efficient insertion, deletion, and search operations on the index. In a database, a primary key index is an ordered index that includes only unique values of a particular column and is used to enforce the uniqueness constraint on that column. A clustered index is another type of ordered index that stores data in a specific order based on a particular column. This allows for fast retrieval of data in that order, making it useful for queries that retrieve a range of data. Using too many ordered indices in a database can increase storage requirements and slow down insert and update operations. It is important to carefully choose which columns to include in an ordered index, as well as to regularly defragment and maintain the index to ensure optimal performance. Overall, ordered indices are a powerful tool for improving the performance of queries in a relational database. By organizing data in a specific order and allowing for efficient search operations, ordered indices can help speed up data retrieval and improve overall database performance.