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SQL Demystified: Unveiling the Different Categories of Command

Updated: Aug 27, 2023

SQL (Structured Query Language) commands form the foundation of interacting with relational databases. Whether you're a database administrator, developer, or data analyst, understanding the different types of SQL commands and their functionalities is essential. In this comprehensive guide, we will delve into the intricacies of SQL commands, from retrieving data to managing transactions. Let's embark on a journey to master the world of SQL commands.


SQL queries can be broadly divided into Five categories.

  • Data Query Language (DQL) Commands

  • Data Manipulation Language (DML) Commands

  • Data Definition Language (DDL) Commands

  • Data Control Language (DCL) Commands

  • Transaction Control Language (TCL) Commands



Data Query Language (DQL) Commands:

DQL commands are all about retrieving data from a database. The cornerstone of DQL is the SELECT statement.


With its basic syntax, you can specify which columns to fetch from a particular table. But that's just the beginning; the SELECT statement is a powerhouse, allowing you to filter data using the WHERE clause, sort it with the ORDER BY clause, and even group data using the GROUP BY clause. These commands empower you to extract the precise information you need from your database.


Data Manipulation Language (DML) Commands:

DML commands give you the power to modify data within a database. The INSERT statement introduces new records into a table.



When you need to update existing records, the UPDATE statement shines.



And when it's time to bid farewell to specific data, the DELETE statement ensures data removal.



These commands grant you control over data manipulation, ensuring your database remains accurate and up-to-date.


Data Definition Language (DDL) Commands:

DDL commands are pivotal for defining and managing the structure of database objects. With the CREATE statement, you can initiate the creation of tables, specifying column names, data types, and constraints as needed.



Should the need arise to modify a table's structure, ALTER statements offer flexibility. Adding a column is as simple as below example.



And if an object is no longer necessary, the DROP statement comes into play, gracefully removing it from the database. Say goodbye with DROP TABLE as below.



DDL commands ensure your database structure evolves alongside your needs.


Data Control Language (DCL) Commands:

DCL commands bestow you with authority over database access. With the GRANT statement, you can delegate specific privileges to users or user roles, granting them permission to perform particular actions on database objects.



When it's time to tighten security, the REVOKE statement steps in. It enables you to withdraw privileges from users or roles, limiting their access to designated operations.



DCL commands ensure that only authorized personnel can wield the power of your database.


Transaction Control Language (TCL) Commands:

TCL commands facilitate transaction management, ensuring data integrity and consistency. The COMMIT statement seals the deal, saving all changes made within a transaction to the database permanently.



Should you need to undo changes, the ROLLBACK statement steps in, reverting alterations since the last COMMIT.



For more granularity, the SAVEPOINT statement is at your service. Set a checkpoint within a transaction, enabling you to ROLLBACK to a specific point if needed.



TCL commands form the safety net that guarantees database changes are handled with precision and confidence.


Conclusion

In this comprehensive guide, we've explored the diverse realm of SQL commands. From querying data to manipulating it, defining structures to controlling access, and managing transactions, SQL commands are the tools that empower you to wield the immense power of relational databases. By mastering these commands, you unlock the ability to seamlessly interact with data, ensuring accuracy, security, and efficiency in your database endeavors. As you journey deeper into the world of SQL, continue to refine your skills, explore advanced concepts, and evolve as a database professional. Happy querying!



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