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SQL Glossary

SQL Glossary: Understand It, Code It, Optimise It

Clear Definitions of Key SQL Terms

 

Explore the SQL glossary below. Each term is listed individually for easy reference and future expansion with examples or best practices.

Categories

1. Core Concepts


SQL (Structured Query Language

A standard language used to manage and manipulate relational databases. It enables querying, updating, and structuring data.


Relational Database

A database that organizes data into tables with rows and columns, using relationships between tables via keys.


Schema

The structure that defines tables, columns, data types, and relationships within a database.


Primary Key

A unique identifier for each row in a table. Ensures data integrity and enables relationships.


Foreign Key

A column that links one table to another by referencing the primary key of the related table.


Index

A performance optimization structure that speeds up data retrieval by indexing specific columns.


2. SQL Syntax & Clauses


SELECT

Retrieves data from one or more tables.


FROM

Specifies the table(s) to query.


WHERE

Filters rows based on specified conditions.


GROUP BY

Aggregates rows that share a common value in specified columns.


HAVING

Filters grouped results based on aggregate conditions.


ORDER BY

Sorts query results in ascending (ASC) or descending (DESC) order.


LIMIT / TOP

Restricts the number of rows returned by a query.


DISTINCT

Removes duplicate rows from the result set


AS (Alias)

Renames columns or tables temporarily for readability.


3. Data Types & Operators


VARCHAR / CHAR

Text data types. VARCHAR allows variable-length strings; CHAR is fixed-length.


INT / FLOAT / DECIMAL

Numeric types for whole numbers, floating-point values, and precise decimals.


DATE / TIME / DATETIME

Temporal data types for storing calendar and clock values.


NULL

Represents missing or undefined data.


Comparison Operators

Used in filtering and conditional logic, e.g. =, <>, >, <, >=, <= 


BETWEEN / IN / LIKE

Pattern and range matching operators for flexible filtering


4. Data Manipulation


INSERT

Adds new rows to a table.


UPDATE

Modifies existing data in a table.


DELETE

Removes rows from a table


MERGE

Combines INSERT, UPDATE, and DELETE logic to synchronize data.


TRUNCATE

Removes all rows from a table quickly, without logging individual deletions.


5. Data Definition & Structure


CREATE TABLE

Defines a new table and its columns.


ALTER TABLE

Modifies an existing table’s structure (e.g., add/remove columns).


DROP TABLE

Deletes a table and its data permanently.


CREATE INDEX

Builds an index to improve query performance.


VIEW

A virtual table based on a SQL query. Does not store data itself.


6. Advanced SQL Features


JOIN

Combines rows from two or more tables based on related columns. Types include INNER, LEFT, RIGHT, and FULL OUTER.


UNION / UNION ALL

Combines results from multiple queries. UNION removes duplicates; UNION ALL retains them.


Subquery

A query nested inside another query. Used for filtering, calculations, or conditional logic.


Common Table Expression (CTE)

Temporary named result set defined using WITH. Improves readability and modularity.


Window Function

Performs calculations across a set of rows related to the current row (e.g., RANK(), ROW_NUMBER()).


Stored Procedure

A saved block of SQL code that can be executed repeatedly with parameters.


Trigger

A procedure that automatically executes in response to specific events on a table (e.g., INSERT, UPDATE).


7. Access & Security


GRANT / REVOKE

Assigns or removes user permissions for database actions.


Role

A group of permissions assigned to users for simplified access control.


Transaction

A sequence of operations performed as a single unit. Ensures consistency via BEGIN, COMMIT, and ROLLBACK.


ACID Properties

Guarantees reliable transactions: Atomicity, Consistency, Isolation, Durability.


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