SQL Keywords

SQL SQL

What is SQL and how is it used in databases?

SQL is the standard, declarative language used to define, query, and manipulate data in relational database systems.
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Compatible dialects for SQL SQL:

SQL SQL Full Explanation

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.

SQL SQL Syntax

-- Example canonical SQL statements
CREATE TABLE table_name (
    column_name data_type [constraint],
    ...
);

SELECT column1, column2
FROM   table_name
WHERE  condition
ORDER BY column1;

INSERT INTO table_name (column1, column2)
VALUES (value1, value2);

UPDATE table_name
SET    column1 = value
WHERE  condition;

DELETE FROM table_name
WHERE  condition;

COMMIT;  -- or ROLLBACK;

SQL SQL Parameters

Example Queries Using SQL SQL

-- 1. Create a table
CREATE TABLE users (
  id          SERIAL PRIMARY KEY,
  email       VARCHAR(255) UNIQUE NOT NULL,
  signup_date DATE DEFAULT CURRENT_DATE
);

-- 2. Retrieve recent users
SELECT id, email
FROM   users
WHERE  signup_date >= CURRENT_DATE - INTERVAL '7 days';

-- 3. Update a user's email
UPDATE users
SET    email = 'new_email@example.com'
WHERE  id = 42;

-- 4. Remove test users inside a transaction
BEGIN;
DELETE FROM users WHERE email LIKE '%@example.test';
ROLLBACK;

Expected Output Using SQL SQL

  • Table users is created with three columns.
  • Returns a result set of users who signed up in the last seven days.
  • The specified user’s email field is changed; row count reflects the change.
  • Rows matching the filter are deleted, then the ROLLBACK undoes the change so no data is lost.

Use Cases with SQL SQL

  • Creating database schemas during application setup
  • Reading data for analytics dashboards
  • Inserting and updating customer records in transactional systems
  • Batch cleanup or migration scripts executed by data engineers
  • Granting or revoking permissions during security audits

Common Mistakes with SQL SQL

  • Assuming all dialects support the same functions (e.g., VARCHAR without length in MySQL vs Postgres)
  • Forgetting WHERE in UPDATE or DELETE, causing full-table changes
  • Misusing NULL handling and three-valued logic in predicates
  • Relying on implicit joins instead of explicit JOIN syntax
  • Ignoring transaction control, which can leave the database in an inconsistent state

Related Topics

First Introduced In

ANSI SQL-86

Frequently Asked Questions

What is the difference between SQL and NoSQL?

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.

How can I learn SQL quickly?

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.

Why does my query run slowly?

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.

Are SQL injections still a risk?

Yes. Always use parameterized queries or prepared statements, validate input, and follow least-privilege principles to mitigate injection attacks.

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