SQL (Structured Query Language) is a domain-specific language adopted by ANSI and ISO standards committees for working with relational databases. It provides a uniform, English-like syntax to create and alter schemas (DDL), retrieve data (DQL), modify data (DML), control transactions (TCL), and manage permissions (DCL). Although each vendor adds extensions, the core grammar—SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP, GRANT, COMMIT, ROLLBACK—remains portable. SQL is declarative: you describe the desired result set, and the database’s optimizer determines how to execute it. Key caveats include vendor-specific differences (e.g., LIMIT vs TOP), reserved keywords that vary by dialect, and the importance of indexing, statistics, and ACID properties for predictable performance and correctness.
ANSI SQL-86
SQL refers to relational databases with structured schemas, ACID compliance, and declarative queries. NoSQL covers non-relational stores that favor flexibility or horizontal scaling, often sacrificing strict consistency.
Start with basic SELECT statements, then progress to joins, subqueries, and aggregate functions. Practice on a sample dataset like AdventureWorks or Stack Overflow. Tools like Galaxy accelerate learning with contextual autocomplete.
Common causes include missing indexes, large result sets, poor join order, outdated statistics, or non-sargable predicates. Examine the execution plan and add appropriate indexes.
Yes. Always use parameterized queries or prepared statements, validate input, and follow least-privilege principles to mitigate injection attacks.