When we say that SQL (Structured Query Language) is a domain-specific programming language, it means that SQL is designed for a specific domain or purpose—namely, managing and manipulating relational databases. Unlike general-purpose programming languages like Java, Python, or C++, which can be used for a wide range of applications, SQL is specialized for working with databases.
Key points that highlight SQL as a domain-specific programming language:
- Database Operations: SQL is primarily focused on performing operations related to databases, such as querying data, inserting records, updating information, and deleting entries. Its syntax and structure are tailored for tasks specific to database management.
- Declarative Language: SQL is often described as a declarative language rather than an imperative one. Instead of instructing the computer on how to perform a task step by step, SQL allows users to declare what they want to achieve, and the database engine determines the most efficient way to execute the request.
- Data Definition and Manipulation: SQL includes both Data Definition Language (DDL) and Data Manipulation Language (DML). DDL is used for defining and managing the structure of the database (creating tables, altering schemas), while DML is used for querying and manipulating the data within the database.
- Query Language: SQL is renowned for its query capabilities. Users can express complex queries to extract specific information from databases, filter data, join tables, aggregate results, and perform various data-related operations.
- Standardization for Databases: SQL serves as a standard language for relational databases, providing a common syntax and set of commands that can be used across different database management systems (DBMS). This standardization enhances interoperability and allows developers to work with various databases using the same SQL skills.
In summary, SQL is a domain-specific programming language specialized for working with relational databases. Its syntax and functionality are tailored to efficiently manage the storage, retrieval, and manipulation of structured data within a database system.
Top comments (1)
Thanks for this very useful post. I just wanted to add that, there is a very easy way now, to test all the SQLs described here, using the free & portable tools, mentioned in my latest post here : dev.to/linuxguist/learn-sql-quickl...