Database & SQL Quiz

Test your understanding of database design, normalization, SQL queries, transactions, and database management systems.

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1. Which normal form eliminates partial dependencies?

Your Answer is:

Second Normal Form (2NF) eliminates partial dependencies by ensuring that all non-key attributes are fully functionally dependent on the entire primary key. This is particularly important for tables with composite primary keys, where some attributes might depend on only part of the key.

2. Which SQL clause is used to filter groups based on a condition?

Your Answer is:

The HAVING clause is used to filter groups based on a condition after the GROUP BY clause has been applied. While WHERE filters individual rows before grouping, HAVING filters groups based on aggregate functions or group properties.

3. What is the purpose of a foreign key in a relational database?

Your Answer is:

A foreign key is used to establish a link between tables by referencing the primary key of another table. This creates a relationship between the tables and helps maintain referential integrity, ensuring that the linked data remains consistent across the database.

4. Which join returns all records from the left table and matched records from the right table?

Your Answer is:

LEFT JOIN returns all records from the left table and the matched records from the right table. If there is no match, the result is NULL on the right side. This is useful when you want to preserve all records from the primary table regardless of whether there's a match in the secondary table.

5. What does ACID stand for in database transactions?

Your Answer is:

ACID stands for Atomicity, Consistency, Isolation, and Durability. These are the four key properties that guarantee database transactions are processed reliably. Atomicity ensures that all operations in a transaction are completed successfully as a group; Consistency ensures that the database remains in a valid state after the transaction; Isolation ensures that concurrent transactions don't interfere with each other; and Durability ensures that once a transaction has been committed, it will remain committed even in the event of a system failure.

6. Which SQL command is used to remove a table from a database?

Your Answer is:

The DROP TABLE command is used to completely remove a table from a database, including its structure, data, indexes, triggers, constraints, and permissions. This is a permanent action and cannot be undone. In contrast, DELETE removes only the data from a table, and TRUNCATE removes all data but keeps the table structure.

7. What is a primary key in a database?

Your Answer is:

A primary key is a unique identifier for each record in a table. It must contain unique values and cannot contain null values. Each table can have only one primary key, which may consist of single or multiple columns. The primary key constraint uniquely identifies each record in a table and provides a way to access the data efficiently.

8. Which of the following is not a type of SQL join?

Your Answer is:

DIAGONAL JOIN is not a standard type of SQL join. The common types of SQL joins include INNER JOIN, LEFT JOIN (or LEFT OUTER JOIN), RIGHT JOIN (or RIGHT OUTER JOIN), FULL OUTER JOIN, and CROSS JOIN. Each join type has a specific purpose for combining rows from two or more tables based on related columns.

9. What is denormalization in database design?

Your Answer is:

Denormalization is the process of adding redundancy to a database to improve performance. It's the opposite of normalization and is often used in data warehousing and reporting systems where read performance is more important than write performance. By strategically adding redundant data or grouping data, denormalization can reduce the number of joins needed for complex queries, thus improving query speed.

10. Which SQL aggregate function returns the number of rows in a specified table?

Your Answer is:

The COUNT() function returns the number of rows that match a specified criterion. COUNT(*) counts all rows in a table, while COUNT(column_name) counts the number of rows where the specified column is not null. This function is commonly used to determine the size of a result set or to count occurrences of specific values.

11. What is a transaction in a database?

Your Answer is:

A transaction is a sequence of operations performed as a single logical unit of work. All operations within a transaction must be completed successfully; if any operation fails, the entire transaction fails and the database is rolled back to its previous state. Transactions ensure data integrity and consistency by following the ACID properties (Atomicity, Consistency, Isolation, Durability).

12. Which SQL statement is used to update data in a database?

Your Answer is:

The UPDATE statement is used to modify existing records in a table. It allows you to change the values in one or more columns for one or more rows based on a specified condition. The basic syntax is: UPDATE table_name SET column1 = value1, column2 = value2, ... WHERE condition; Without a WHERE clause, all rows in the table will be updated.

13. What is a deadlock in database management?

Your Answer is:

A deadlock is a situation where two or more transactions are waiting for each other to release locks, creating a cycle of dependencies that prevents any of the transactions from proceeding. For example, Transaction A might be holding a lock on Resource 1 and waiting for Resource 2, while Transaction B is holding a lock on Resource 2 and waiting for Resource 1. Database management systems typically include deadlock detection mechanisms to identify and resolve such situations.

14. Which of the following is not a valid SQL data type?

Your Answer is:

STRING is not a standard SQL data type. While some database systems might support STRING as an alias for other text types, the standard SQL data types for text include CHAR, VARCHAR, TEXT, and others depending on the specific database system. BOOLEAN, VARCHAR, and DECIMAL are all valid SQL data types in most database systems.

15. What is an index in a database?

Your Answer is:

An index is a data structure that improves the speed of data retrieval operations on a table at the cost of additional writes and storage space. Indexes are used to quickly locate data without having to search every row in a table every time a table is accessed. They can be created using one or more columns of a database table, providing the basis for both rapid random lookups and efficient access of ordered records.

16. Which SQL operator is used to match text patterns?

Your Answer is:

The LIKE operator is used in a WHERE clause to search for a specified pattern in a column. There are two wildcards often used in conjunction with the LIKE operator: % (percent sign) represents zero, one, or multiple characters, and _ (underscore) represents a single character. For example, 'SELECT * FROM Customers WHERE City LIKE 's%'' would return all customers whose city starts with 's'.

17. What is referential integrity in a database?

Your Answer is:

Referential integrity is a database concept that ensures that relationships between tables remain consistent. It prevents users from adding records to a related table if there is no associated record in the primary table, deleting records from a primary table if there are matching related records, or changing primary key values in the primary table if there are matching related records. Referential integrity is typically enforced through foreign key constraints.

18. Which SQL command is used to retrieve data from a database?

Your Answer is:

The SELECT statement is used to retrieve data from a database. It is the most commonly used command in SQL and allows you to specify which columns you want to retrieve, from which table, and under what conditions. The basic syntax is: SELECT column1, column2, ... FROM table_name WHERE condition; You can also use SELECT with various clauses like JOIN, GROUP BY, HAVING, and ORDER BY to perform complex queries.

19. What is a view in a database?

Your Answer is:

A view is a virtual table based on the result-set of an SQL statement. It contains rows and columns, just like a real table, but the fields in a view are fields from one or more real tables in the database. Views are used to simplify complex queries, restrict access to data, and present data in a different format from the base tables. Views do not store data themselves; they store the query that generates the data.

20. Which normal form addresses transitive dependencies?

Your Answer is:

Third Normal Form (3NF) addresses transitive dependencies. A transitive dependency exists when a non-key attribute is functionally dependent on another non-key attribute. To be in 3NF, a table must first be in 2NF, and all non-key attributes must be directly dependent on the primary key, not on other non-key attributes. This helps eliminate redundancy and improve data integrity.

21. What is a stored procedure in a database?

Your Answer is:

A stored procedure is a prepared SQL code that you can save and reuse. It's a set of SQL statements with an assigned name that's stored in the database in compiled form so that it can be shared by a number of programs. Stored procedures can accept input parameters, return output parameters, and can include programming statements that perform operations in the database.

22. Which SQL clause is used to sort the result-set?

Your Answer is:

The ORDER BY clause is used to sort the result-set in ascending or descending order. By default, it sorts the records in ascending order. To sort the records in descending order, you can use the DESC keyword. For example, 'SELECT * FROM Customers ORDER BY LastName DESC' would return all customers sorted by last name in descending order.

23. What is a cursor in database management?

Your Answer is:

A cursor is a database object used to manipulate data in a set on a row-by-row basis. It's essentially a pointer to a specific row in a result set. Cursors allow you to iterate through the results of a query one row at a time, rather than processing the entire result set at once. While powerful, cursors can be resource-intensive and should be used judiciously, as set-based operations are generally more efficient in SQL.

24. Which SQL command is used to add new rows to a table?

Your Answer is:

The INSERT INTO statement is used to add new rows to a table. The basic syntax is: INSERT INTO table_name (column1, column2, column3, ...) VALUES (value1, value2, value3, ...); You can also insert data from another table using a SELECT statement. This command is fundamental for populating tables with data in a database.

25. What is a trigger in a database?

Your Answer is:

A trigger is a stored procedure that automatically executes when an event occurs in the database. DML triggers execute when a user tries to modify data through a DML event (INSERT, UPDATE, or DELETE) on a table or view. DDL triggers execute in response to a variety of Data Definition Language (DDL) events, such as CREATE, ALTER, or DROP statements. Triggers are used to enforce business rules, maintain data integrity, and audit changes.

26. Which SQL operator is used to combine the result of two or more SELECT statements?

Your Answer is:

The UNION operator is used to combine the result-set of two or more SELECT statements. Each SELECT statement within UNION must have the same number of columns, the columns must have similar data types, and the columns in each SELECT statement must be in the same order. The UNION operator selects only distinct values by default. To allow duplicate values, use UNION ALL.

27. What is a composite key in a database?

Your Answer is:

A composite key is a key that consists of two or more columns in a table that can be used to uniquely identify each row in the table when the columns are combined, but individually do not guarantee uniqueness. Composite keys are often used when a single column is not sufficient to uniquely identify records. They can be used as primary keys or as part of a foreign key relationship.

28. Which SQL statement is used to create a new table in a database?

Your Answer is:

The CREATE TABLE statement is used to create a new table in a database. The basic syntax is: CREATE TABLE table_name (column1 datatype, column2 datatype, column3 datatype, ...); You can also include constraints like PRIMARY KEY, FOREIGN KEY, NOT NULL, UNIQUE, and CHECK when creating a table. This statement defines the structure of the table, including column names, data types, and any constraints.

29. What is a candidate key in a database?

Your Answer is:

A candidate key is a set of one or more columns that can uniquely identify a record in a table. A table can have multiple candidate keys, but only one of them can be chosen as the primary key. The remaining candidate keys are called alternate keys. For example, in a table of employees, both EmployeeID and SocialSecurityNumber might be candidate keys, but only one would be selected as the primary key.

30. Which SQL function is used to return the current date and time?

Your Answer is:

Different database systems use different functions to return the current date and time. MySQL uses NOW(), SQL Server uses GETDATE(), Oracle uses SYSDATE, and PostgreSQL uses CURRENT_TIMESTAMP or NOW(). Some systems also have separate functions for just the date (CURRENT_DATE) or just the time (CURRENT_TIME). The specific function to use depends on the database system you're working with.

31. What is a many-to-many relationship in database design?

Your Answer is:

A many-to-many relationship exists when many records in a table are related to many records in another table. In relational databases, many-to-many relationships are implemented using a junction table (also known as an associative or linking table) that contains foreign keys referencing the primary keys of the two tables involved in the relationship. For example, in a database of students and courses, a many-to-many relationship exists because a student can enroll in multiple courses, and a course can have multiple students.

32. Which SQL command is used to modify the structure of a table?

Your Answer is:

The ALTER TABLE command is used to add, delete, or modify columns in an existing table. It's also used to add and drop various constraints on an existing table. Common operations include ADD COLUMN, DROP COLUMN, MODIFY COLUMN (to change a column's data type), ADD CONSTRAINT, and DROP CONSTRAINT. This command is essential for maintaining and evolving database schemas over time.

33. What is a surrogate key in a database?

Your Answer is:

A surrogate key is a unique identifier for a record in a table that is not derived from the data itself and has no business meaning. It's typically an auto-incrementing integer or a GUID that is generated by the database system. Surrogate keys are often used as primary keys because they are stable, unique, and compact, making them efficient for indexing and joining tables. They contrast with natural keys, which are derived from the data itself (like a Social Security Number or ISBN).

34. Which SQL clause is used to limit the number of rows returned by a query?

Your Answer is:

Different database systems use different syntax to limit the number of rows returned by a query. MySQL and PostgreSQL use LIMIT, SQL Server uses TOP, and Oracle uses ROWNUM in a WHERE clause. For example, in MySQL you would use 'SELECT * FROM Customers LIMIT 10', while in SQL Server you would use 'SELECT TOP 10 * FROM Customers'. These clauses are useful for pagination or when you only need a subset of the results.

35. What is a non-clustered index in a database?

Your Answer is:

A non-clustered index is an index that stores pointers to the actual data rows rather than the data itself. It contains the indexed columns and a pointer (or bookmark) to the location of the full data row. Unlike a clustered index, which determines the physical order of data in a table, a non-clustered index is a separate structure from the data rows. A table can have multiple non-clustered indexes, which can improve query performance for various search patterns.

36. Which SQL statement is used to delete data from a table?

Your Answer is:

The DELETE statement is used to delete existing records in a table. The basic syntax is: DELETE FROM table_name WHERE condition; It's important to include a WHERE clause to specify which records to delete, as omitting the WHERE clause will delete all records in the table. DELETE operations can be rolled back if they are part of a transaction, and they trigger any DELETE triggers that have been defined on the table.

37. What is a hierarchical database model?

Your Answer is:

A hierarchical database model is a data model in which data is organized into a tree-like structure. The data is stored as records which are connected to one another through links. Each record has a single parent record and may have multiple child records, creating a parent-child relationship. This model was popular in early mainframe database management systems and is still used in certain applications like Windows Registry and XML documents.

38. Which SQL command is used to grant permissions to a user?

Your Answer is:

The GRANT command is used to give specific permissions or privileges to users or roles in a database. The basic syntax is: GRANT privilege_name ON object_name TO user_name; Common privileges include SELECT, INSERT, UPDATE, DELETE, EXECUTE, and ALL PRIVILEGES. The REVOKE command is used to remove previously granted permissions. These commands are essential for managing database security and controlling access to data.

39. What is a natural key in a database?

Your Answer is:

A natural key is a key that is derived from the data itself and has business meaning. It's a real-world identifier that exists outside the database, such as a Social Security Number, ISBN, or vehicle identification number. Natural keys contrast with surrogate keys, which are artificially generated by the database system and have no business meaning. While natural keys can be more intuitive, they can be problematic if they change over time or if they contain sensitive information.

40. Which SQL command is used to remove all data from a table but keep its structure?

Your Answer is:

The TRUNCATE TABLE command is used to remove all data from a table but keep its structure. It's a faster alternative to DELETE when you want to remove all rows from a table, as it doesn't log individual row deletions. TRUNCATE is a DDL (Data Definition Language) command, while DELETE is a DML (Data Manipulation Language) command. Unlike DELETE, TRUNCATE cannot be rolled back (in most database systems) and doesn't fire DELETE triggers. It also resets any identity columns to their seed value.

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Understanding Databases and SQL: Key Concepts and Best Practices

Databases and SQL (Structured Query Language) form the backbone of modern data management systems. Whether you're a software developer, data analyst, or IT professional, understanding these technologies is essential for effectively storing, retrieving, and manipulating data. This comprehensive guide will help you master the fundamental concepts of database design, normalization, SQL queries, transactions, and database management systems.

Database Fundamentals

A database is an organized collection of structured information, or data, typically stored electronically in a computer system. Databases are controlled by a Database Management System (DBMS), which provides an interface for users and applications to interact with the data. The most common type of database in use today is the relational database, which organizes data into tables consisting of rows and columns.

Relational databases are based on the relational model proposed by E.F. Codd in 1970. In this model, data is represented in terms of tuples (rows) grouped into relations (tables). Each table has a unique name and consists of a set of attributes (columns) that describe the data stored in the table. The relationships between tables are established through keys, which are used to uniquely identify records and link related data across different tables.

Database Design and Normalization

Proper database design is crucial for creating efficient, maintainable, and scalable databases. One of the most important aspects of database design is normalization, which is the process of organizing data in a database to reduce redundancy and improve data integrity. Normalization involves dividing large tables into smaller, more manageable ones and defining relationships between them.

There are several normal forms, each with specific rules for eliminating different types of data anomalies:

First Normal Form (1NF): Ensures that all attributes contain atomic values and that there are no repeating groups. This means each cell in a table should contain a single value, not a list of values.

Second Normal Form (2NF): Builds on 1NF by eliminating partial dependencies. This means that all non-key attributes must be fully functionally dependent on the entire primary key, not just part of it.

Third Normal Form (3NF): Builds on 2NF by eliminating transitive dependencies. This means that no non-key attribute should depend on another non-key attribute.

Boyce-Codd Normal Form (BCNF): A stronger version of 3NF that addresses certain anomalies not covered by 3NF. It requires that for every dependency A → B, A must be a superkey.

While higher normal forms exist (4NF, 5NF, etc.), most practical database designs aim for 3NF or BCNF as they provide a good balance between normalization and performance.

SQL: The Language of Databases

SQL (Structured Query Language) is the standard language for managing and manipulating data in relational databases. It provides a set of commands for defining, querying, modifying, and controlling data in a database. SQL can be divided into several sublanguages:

Data Definition Language (DDL): Commands used to define the database structure, including CREATE, ALTER, and DROP statements for creating, modifying, and deleting database objects like tables, indexes, and views.

Data Manipulation Language (DML): Commands used to manage data within database objects, including SELECT, INSERT, UPDATE, and DELETE statements for retrieving, adding, modifying, and deleting data.

Data Control Language (DCL): Commands used to control access to data, including GRANT and REVOKE statements for granting and revoking permissions.

Transaction Control Language (TCL): Commands used to manage transactions, including COMMIT, ROLLBACK, and SAVEPOINT statements for committing, rolling back, and setting savepoints within transactions.

Advanced SQL Concepts

As you become more proficient with SQL, you'll encounter more advanced concepts that allow you to perform complex operations and optimize your queries:

Joins: Joins are used to combine rows from two or more tables based on related columns. Common types of joins include INNER JOIN, LEFT JOIN (or LEFT OUTER JOIN), RIGHT JOIN (or RIGHT OUTER JOIN), and FULL OUTER JOIN. Understanding how to use joins effectively is crucial for retrieving data from multiple related tables.

Subqueries: A subquery is a query nested inside another query. Subqueries can be used in various parts of a SQL statement, including the SELECT, FROM, WHERE, and HAVING clauses. They allow you to perform complex operations by breaking them down into simpler, more manageable steps.

Aggregate Functions: Aggregate functions perform a calculation on a set of values and return a single value. Common aggregate functions include COUNT, SUM, AVG, MIN, and MAX. These functions are often used with the GROUP BY clause to group rows that have the same values into summary rows.

Window Functions: Window functions perform calculations across a set of table rows that are somehow related to the current row. Unlike aggregate functions, window functions do not cause rows to become grouped into a single output row. Common window functions include ROW_NUMBER, RANK, DENSE_RANK, and LAG/LEAD.

Database Transactions and ACID Properties

Transactions are a fundamental concept in database management systems. A transaction is a sequence of operations performed as a single logical unit of work. All operations within a transaction must be completed successfully; if any operation fails, the entire transaction fails and the database is rolled back to its previous state.

Transactions follow the ACID properties, which ensure data integrity and consistency:

Atomicity: Ensures that all operations within a transaction are completed successfully as a group. If any operation fails, the entire transaction fails and the database is rolled back to its previous state.

Consistency: Ensures that the database remains in a valid state before and after the transaction. All constraints and rules must be satisfied.

Isolation: Ensures that concurrent transactions do not interfere with each other. Each transaction operates as if it were the only transaction in the system.

Durability: Ensures that once a transaction has been committed, it will remain committed even in the event of a system failure.

Indexing for Performance Optimization

Indexes are data structures that improve the speed of data retrieval operations on a table at the cost of additional writes and storage space. They work similarly to indexes in books, allowing the database to find data without scanning the entire table.

There are several types of indexes:

Clustered Index: Determines the physical order of data in a table. A table can have only one clustered index, which is typically created on the primary key.

Non-Clustered Index: A separate structure from the data rows that contains pointers to the actual data rows. A table can have multiple non-clustered indexes.

Composite Index: An index on multiple columns. Composite indexes are useful when you frequently query on multiple columns together.

Unique Index: Ensures that the indexed columns contain no duplicate values.

While indexes can significantly improve query performance, they also have drawbacks. They consume additional storage space and can slow down write operations (INSERT, UPDATE, DELETE) because the indexes must be updated along with the data. Therefore, it's important to strike a balance between read and write performance when designing indexes.

Database Security

Database security is a critical aspect of database management. It involves protecting the database from unauthorized access, misuse, and damage. Key aspects of database security include:

Authentication: Verifying the identity of users attempting to access the database. This is typically done through usernames and passwords, but can also involve more advanced methods like multi-factor authentication.

Authorization: Determining what actions authenticated users are allowed to perform. This is managed through permissions and privileges, which can be granted or revoked using SQL commands like GRANT and REVOKE.

Encryption: Protecting data by converting it into a code to prevent unauthorized access. This can be applied to data at rest (stored in the database) and data in transit (being transferred over a network).

Auditing: Tracking and logging database activities to detect and investigate suspicious behavior. This includes logging login attempts, data modifications, and other significant events.

Emerging Trends in Database Technology

The field of database technology is constantly evolving. Some of the emerging trends include:

NoSQL Databases: Non-relational databases that provide a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. They are often used for big data and real-time web applications.

NewSQL Databases: Modern relational database systems that seek to provide the scalability of NoSQL systems while maintaining the ACID guarantees of traditional database systems.

Cloud Databases: Databases that are built, accessed, and delivered through a cloud platform. They offer benefits like scalability, flexibility, and reduced maintenance overhead.

In-Memory Databases: Databases that primarily rely on main memory for computer data storage. They are faster than disk-optimized databases because they eliminate disk access time.

Graph Databases: Databases that use graph structures with nodes, edges, and properties to represent and store data. They are particularly well-suited for interconnected data.

Best Practices for Database Design and SQL

To create efficient and maintainable databases, consider the following best practices:

Understand the Requirements: Before designing a database, thoroughly understand the business requirements and how the data will be used.

Normalize Your Data: Follow normalization principles to reduce redundancy and improve data integrity.

Choose Appropriate Data Types: Select the most appropriate data types for your columns to optimize storage and performance.

Use Indexes Wisely: Create indexes on columns that are frequently used in WHERE, JOIN, and ORDER BY clauses, but avoid over-indexing.

Write Efficient Queries: Optimize your SQL queries by avoiding unnecessary columns, using appropriate joins, and minimizing the use of subqueries.

Implement Security Measures: Protect your database by implementing proper authentication, authorization, and encryption.

Regularly Back Up Your Data: Implement a regular backup strategy to protect against data loss.

Monitor Performance: Regularly monitor and analyze the performance of your database and queries to identify and address bottlenecks.

By mastering these concepts and best practices, you'll be well-equipped to design efficient databases and write effective SQL queries. Whether you're building a small application or a large enterprise system, a solid understanding of databases and SQL is essential for success in the world of data management.

Frequently Asked Questions

1. What is the difference between SQL and NoSQL databases?
SQL databases are relational databases that use structured query language (SQL) for defining and manipulating data. They have a predefined schema and are suitable for structured data. NoSQL databases, on the other hand, are non-relational databases that do not require a fixed schema and are designed for unstructured or semi-structured data. They offer more flexibility and scalability, making them suitable for big data and real-time applications.
2. What is database normalization and why is it important?
Database normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves dividing large tables into smaller, more manageable ones and defining relationships between them. Normalization is important because it helps eliminate data anomalies, reduces data duplication, and ensures data consistency. It also makes the database more efficient and easier to maintain.
3. What is the difference between a primary key and a foreign key?
A primary key is a unique identifier for each record in a table. It must contain unique values and cannot contain null values. Each table can have only one primary key. A foreign key, on the other hand, is a key used to link two tables together. It is a field (or collection of fields) in one table that refers to the primary key in another table. Foreign keys are used to enforce referential integrity between tables.
4. What is a database transaction and why is it important?
A database transaction is a sequence of operations performed as a single logical unit of work. All operations within a transaction must be completed successfully; if any operation fails, the entire transaction fails and the database is rolled back to its previous state. Transactions are important because they ensure data integrity and consistency by following the ACID properties (Atomicity, Consistency, Isolation, Durability). They are particularly crucial in applications where multiple operations must be performed together, such as banking systems.
5. What is the difference between INNER JOIN and OUTER JOIN?
INNER JOIN returns only the rows that have matching values in both tables. It combines rows from two tables based on a related column between them. OUTER JOIN, on the other hand, returns all rows from one table and the matched rows from the other table. If there is no match, the result is NULL on the side where there is no match. There are three types of OUTER JOIN: LEFT OUTER JOIN (returns all rows from the left table), RIGHT OUTER JOIN (returns all rows from the right table), and FULL OUTER JOIN (returns all rows when there is a match in either the left or the right table).
6. What is a database index and how does it improve performance?
A database index is a data structure that improves the speed of data retrieval operations on a table at the cost of additional writes and storage space. It works similarly to an index in a book, allowing the database to find data without scanning the entire table. Indexes improve performance by reducing the amount of data that needs to be read from disk when executing a query. They are particularly effective for queries that filter, sort, or join data on indexed columns. However, indexes also have drawbacks, as they consume additional storage space and can slow down write operations.
7. What is the difference between DELETE and TRUNCATE commands?
Both DELETE and TRUNCATE commands are used to remove data from a table, but they work differently. DELETE is a DML (Data Manipulation Language) command that removes rows one at a time and records each deletion in the transaction log. It can be used with a WHERE clause to delete specific rows, and it can be rolled back. TRUNCATE, on the other hand, is a DDL (Data Definition Language) command that removes all rows from a table by deallocating the pages used to store the table's data. It doesn't record individual row deletions in the transaction log, making it faster than DELETE for removing all data. TRUNCATE cannot be rolled back (in most database systems) and doesn't fire DELETE triggers.
8. What is a stored procedure and what are its advantages?
A stored procedure is a prepared SQL code that you can save and reuse. It's a set of SQL statements with an assigned name that's stored in the database in compiled form. Stored procedures offer several advantages: they reduce network traffic by sending only the procedure name and parameters instead of multiple SQL statements; they provide better security by controlling access to data; they improve performance by being precompiled; they promote code reusability; and they simplify complex operations by encapsulating them in a single unit. Additionally, stored procedures can handle transactions, error handling, and flow control, making them more powerful than individual SQL statements.