Beginner · SQL Mastery Series

SQL Foundations: The Complete Beginner's Guide

Everything you need to go from zero to confident with SQL — from understanding what a database is to writing real queries with SELECT, WHERE, JOINs, functions, and more. Oracle, MySQL, and PostgreSQL covered.

28 min read📅September 10, 2025✍️Priyanshu Pandey📚SQL Mastery Series

What is SQL? The Language of Databases

SQL (Structured Query Language) is the standard language of relational databases. It lets you create, read, update, and manage data in systems like Oracle, MySQL, SQL Server, and PostgreSQL.

Think of SQL as the Google Search of databases — you describe what data you want, and the database engine finds and returns it.

Why SQL matters:

  • Data is everywhere — from apps to websites to enterprise systems, everything runs on data stored in relational databases.
  • Universal skill — SQL syntax is largely the same across Oracle, MySQL, PostgreSQL, and SQL Server, so learning it once works everywhere.
  • Business backbone — organizations rely on SQL for analytics, reporting, transactions, and integrations.
  • Career multiplier — SQL consistently ranks as one of the most in-demand technical skills, relevant for developers, analysts, and architects alike.

SQL commands are grouped into categories based on what they do:

ColumnTypeDescription
DDL
Data Definition LanguageCREATE, ALTER, DROP, TRUNCATE — define and modify database structure
DML
Data Manipulation LanguageINSERT, UPDATE, DELETE — add, change, or remove data
DQL
Data Query LanguageSELECT — retrieve data from tables
DCL
Data Control LanguageGRANT, REVOKE — control permissions
TCL
Transaction Control LanguageCOMMIT, ROLLBACK, SAVEPOINT — manage transactions
💡
SQL is declarative

You tell SQL what you want, not how to get it. The database engine figures out the execution plan. This is what makes SQL so powerful — you write 10 lines and the engine does the work of thousands of procedural operations.

Data Types

SQL Data Types — Choosing the Right Column Type

When designing a table, the most important decision for each column is its data type. The right type ensures efficient storage, data integrity, and faster queries.

Numeric Types

ColumnTypeDescription
INT / INTEGER
Whole numberEmployee IDs, quantities, counts. No decimal places.
SMALLINT
Small integerAge, status codes. Saves storage for small-range values.
BIGINT
Large integerPopulation figures, auto-increment PKs in large systems.
DECIMAL(p,s)
Fixed-pointFinancial values like salary, price, tax amounts. Use p=precision (total digits), s=scale (decimal places).
FLOAT / REAL
Approximate decimalScientific measurements, ratings. Avoid for money — use DECIMAL instead.
NUMBER(p,s)
Oracle nativeOracle's general-purpose numeric type. Equivalent to DECIMAL in most contexts.
⚠️
Never use FLOAT for money

Floating-point types (FLOAT, REAL, DOUBLE) are approximate by design — they can introduce rounding errors. Always use DECIMAL(10,2) or Oracle's NUMBER(10,2) for monetary values like salaries, prices, or tax amounts.

String / Character Types

ColumnTypeDescription
CHAR(n)
Fixed-length stringCountry codes, gender flags — values that are always exactly n characters.
VARCHAR(n)
Variable-lengthNames, descriptions — values of varying length up to n characters.
VARCHAR2(n)
Oracle native VARCHAROracle's preferred variable-length string type. Functionally identical to VARCHAR.
TEXT / CLOB
Large textLong descriptions, notes, HTML content. No length limit (CLOB = Character Large Object).

Date & Time Types

ColumnTypeDescription
DATE
Date + timeIn Oracle: stores full date and time. In MySQL/PostgreSQL: date only.
TIMESTAMP
High-precision date+timeOrder timestamps, audit logs. Includes fractional seconds.
TIME
Time onlyStore opening/closing hours without a date component.
INTERVAL
DurationDifferences between dates — useful in Oracle for date arithmetic.
⚠️
Oracle DATE includes time — this surprises many developers

In Oracle, a DATE column stores both date and time (down to seconds). If you store SYSDATE in a DATE column, you get the time too. Always use TRUNC(date_col) when you want to compare dates without the time component, otherwise your WHERE clause will miss rows.

Other Important Types

ColumnTypeDescription
BOOLEAN
True/FalseMySQL and PostgreSQL native. Oracle uses NUMBER(1) or VARCHAR2(1) with Y/N convention.
BLOB
Binary Large ObjectImages, PDFs, binary files stored in the database.
ROWID
Oracle internalOracle's physical row address. Used for ultra-fast single-row lookups.
DDL — Schema Control

DDL — CREATE, ALTER, DROP

DDL (Data Definition Language) commands define and change the structure of your database objects — databases, tables, indexes, and constraints.

CREATE TABLE

SQL

-- Create a simple employees table CREATE TABLE employees ( emp_id NUMBER(10) PRIMARY KEY, first_name VARCHAR2(50) NOT NULL, last_name VARCHAR2(50) NOT NULL, department VARCHAR2(50), salary DECIMAL(10,2) DEFAULT 0, hire_date DATE DEFAULT SYSDATE, status CHAR(1) DEFAULT 'A' );

CREATE DATABASE (MySQL / PostgreSQL)

SQL

-- MySQL / PostgreSQL CREATE DATABASE retailcoder_db;

-- Switch to the new database (MySQL) USE retailcoder_db;

ALTER TABLE — Modify Structure

SQL

-- Add a new column ALTER TABLE employees ADD email VARCHAR2(100);

-- Modify a column's data type or size ALTER TABLE employees MODIFY salary NUMBER(12,2);

-- Rename a column (Oracle 12c+) ALTER TABLE employees RENAME COLUMN status TO emp_status;

-- Add a NOT NULL constraint ALTER TABLE employees MODIFY email NOT NULL;

-- Drop a column ALTER TABLE employees DROP COLUMN emp_status;

DROP TABLE

SQL

-- Remove the table and all its data permanently DROP TABLE employees;

-- Safer version — only drops if the table exists (MySQL/PostgreSQL) DROP TABLE IF EXISTS employees;

-- Oracle: move to recycle bin (can be recovered with FLASHBACK) DROP TABLE employees;

-- Oracle: skip recycle bin entirely DROP TABLE employees PURGE;

TRUNCATE vs DROP

ColumnTypeDescription
DROP TABLE
DDLYes — all data gone. Yes — table structure gone. Potentially (Oracle recycle bin).
TRUNCATE TABLE
DDLYes — all rows removed instantly. No — table structure stays. Generally no — auto-commits.
DELETE FROM
DMLYes — can use WHERE to be selective. No — table structure stays. Yes — can ROLLBACK.
⚠️
TRUNCATE cannot be rolled back

TRUNCATE is a DDL operation — it auto-commits. Once you truncate, the data is gone. Use DELETE FROM table_name if you need the ability to roll back. TRUNCATE is much faster than DELETE for clearing entire tables, but it's irreversible without a backup.

DML — Data Operations

DML — INSERT, UPDATE, DELETE

DML (Data Manipulation Language) commands work with the actual data inside tables, not the structure.

INSERT

SQL

-- Insert a single row (specifying all columns in order) INSERT INTO employees (emp_id, first_name, last_name, department, salary) VALUES (101, 'Priya', 'Sharma', 'IT', 75000.00);

-- Insert multiple rows (MySQL, PostgreSQL) INSERT INTO employees (emp_id, first_name, last_name, department, salary) VALUES (102, 'Rahul', 'Gupta', 'Finance', 80000.00), (103, 'Anita', 'Singh', 'Operations', 70000.00);

-- Insert using SELECT (copy from another table) INSERT INTO employees_archive SELECT * FROM employees WHERE status = 'I';

COMMIT;

UPDATE

SQL

-- Update a single employee's salary UPDATE employees SET salary = 85000.00 WHERE emp_id = 101;

-- Update multiple columns at once UPDATE employees SET salary = salary * 1.10, department = 'Engineering' WHERE department = 'IT' AND hire_date < DATE '2023-01-01';

-- Update based on a subquery (Oracle) UPDATE employees e SET salary = ( SELECT AVG(salary) * 1.15 FROM employees WHERE department = e.department ) WHERE status = 'A';

COMMIT;

DELETE

SQL

-- Delete a specific row DELETE FROM employees WHERE emp_id = 101;

-- Delete all inactive employees DELETE FROM employees WHERE status = 'I';

-- Delete with a subquery condition DELETE FROM employees WHERE department NOT IN ( SELECT department_name FROM departments WHERE active = 'Y' );

COMMIT;

⚠️
Always use WHERE with UPDATE and DELETE

Missing a WHERE clause on UPDATE or DELETE affects every row in the table. Before running UPDATE or DELETE on production, always run the equivalent SELECT with the same WHERE clause first to verify the affected rows. Then run the DML and review the row count before committing.

SELECT — Querying Data

The SELECT Statement

SELECT is the most frequently used SQL command. It retrieves data from one or more tables.

SQL

-- Basic SELECT — all columns SELECT * FROM employees;

-- SELECT specific columns SELECT emp_id, first_name, last_name, salary FROM employees;

-- SELECT with a calculated column SELECT first_name, last_name, salary, salary * 12 AS annual_salary FROM employees;

-- SELECT with a string expression SELECT first_name || ' ' || last_name AS full_name, department, salary FROM employees WHERE status = 'A' ORDER BY salary DESC;

💡
SELECT * is fine for exploration, not for production

SELECT * retrieves every column, which is useful when exploring data interactively. In production code, always list the specific columns you need. This avoids breaking if columns are added/renamed and dramatically improves query performance on wide tables.

WHERE — Filtering

WHERE Clause — Filtering Rows

The WHERE clause filters which rows are returned. Without it, every row in the table is included.

SQL

-- Equality filter SELECT * FROM employees WHERE department = 'Finance';

-- Numeric comparison SELECT first_name, salary FROM employees WHERE salary > 70000;

-- Multiple conditions with AND SELECT first_name, salary FROM employees WHERE department = 'IT' AND salary > 60000 AND status = 'A';

-- OR condition SELECT * FROM employees WHERE department = 'IT' OR department = 'Engineering';

-- Combining AND and OR — use parentheses to control precedence SELECT * FROM employees WHERE status = 'A' AND (department = 'IT' OR department = 'Engineering');

ColumnTypeDescription
=
EqualsWHERE dept = 'IT'
!= or <>
Not equalsWHERE status != 'I'
>
Greater thanWHERE salary > 50000
>=
Greater than or equalWHERE hire_date >= DATE '2023-01-01'
<
Less thanWHERE salary < 100000
AND
Both conditions must be trueWHERE dept = 'IT' AND status = 'A'
OR
Either condition can be trueWHERE dept = 'IT' OR dept = 'HR'
NOT
Negate a conditionWHERE NOT status = 'I'
ORDER BY

ORDER BY — Sorting Results

ORDER BY sorts the result set. Without it, row order is not guaranteed.

SQL

-- Sort by salary descending (highest first) SELECT first_name, salary FROM employees ORDER BY salary DESC;

-- Sort ascending (default — ASC can be omitted) SELECT first_name, hire_date FROM employees ORDER BY hire_date ASC;

-- Sort by multiple columns -- Primary sort: department A-Z, then secondary: salary highest first SELECT first_name, department, salary FROM employees ORDER BY department ASC, salary DESC;

-- Sort by column position (not recommended in production — fragile) SELECT first_name, last_name, salary FROM employees ORDER BY 3 DESC; -- 3 = third column = salary

-- Sort NULLs last (Oracle default is NULLs last for DESC) SELECT first_name, commission FROM employees ORDER BY commission DESC NULLS LAST;

DISTINCT

DISTINCT — Removing Duplicates

DISTINCT eliminates duplicate rows from a result set.

SQL

-- All unique departments in the employees table SELECT DISTINCT department FROM employees;

-- Distinct combination of department + status SELECT DISTINCT department, status FROM employees ORDER BY department;

-- Count distinct values SELECT COUNT(DISTINCT department) AS unique_dept_count FROM employees;

💡
DISTINCT operates on the full row

SELECT DISTINCT department, status returns unique combinations of both columns — not just unique departments. Each unique (department, status) pair is one row.

LIKE, IN, BETWEEN

LIKE, IN, and BETWEEN

These three operators are powerful WHERE clause tools for pattern matching, set membership, and range filtering.

LIKE — Pattern Matching

SQL

-- Names starting with 'Pr' SELECT * FROM employees WHERE first_name LIKE 'Pr%';

-- Names ending with 'a' SELECT * FROM employees WHERE first_name LIKE '%a';

-- Names containing 'an' anywhere SELECT * FROM employees WHERE first_name LIKE '%an%';

-- Email with exactly 5 characters before the @ SELECT * FROM employees WHERE email LIKE '_____@%';

-- NOT LIKE — exclude a pattern SELECT * FROM employees WHERE department NOT LIKE '%Sales%';

ColumnTypeDescription
%
Any sequenceLIKE 'A%' matches Alice, Adam, Anita
_
Exactly one characterLIKE '_ita' matches Anita, Smita, Sunita

IN — Set Membership

SQL

-- Match any of the listed values (equivalent to multiple OR conditions) SELECT * FROM employees WHERE department IN ('IT', 'Finance', 'Engineering');

-- NOT IN — exclude listed values SELECT * FROM employees WHERE department NOT IN ('HR', 'Admin');

-- IN with a subquery SELECT first_name, department FROM employees WHERE department IN ( SELECT department_name FROM departments WHERE region = 'North' );

BETWEEN — Range Filter

SQL

-- Salary range (inclusive on both ends) SELECT first_name, salary FROM employees WHERE salary BETWEEN 50000 AND 80000;

-- Date range SELECT * FROM orders WHERE order_date BETWEEN DATE '2025-01-01' AND DATE '2025-03-31';

-- NOT BETWEEN SELECT * FROM employees WHERE salary NOT BETWEEN 40000 AND 60000;

💡
BETWEEN is inclusive on both ends

BETWEEN 50000 AND 80000 includes rows where salary is exactly 50000 or exactly 80000. It is equivalent to salary >= 50000 AND salary = 80000.

NULL Handling

NULL Handling — IS NULL & IS NOT NULL

NULL represents a missing or unknown value. It is not the same as zero, an empty string, or the word "NULL". NULL requires special handling in SQL.

SQL

-- Find employees with no email on file SELECT first_name, last_name FROM employees WHERE email IS NULL;

-- Find employees who DO have an email SELECT first_name, email FROM employees WHERE email IS NOT NULL;

-- NULL in arithmetic — any operation on NULL returns NULL SELECT emp_id, salary, commission, salary + commission AS total_comp -- NULL if commission is NULL! FROM employees;

-- Fix: use NVL (Oracle) or COALESCE (standard) to replace NULL with 0 SELECT emp_id, salary, commission, salary + NVL(commission, 0) AS total_comp FROM employees;

-- COALESCE — returns the first non-NULL value in the list SELECT first_name, COALESCE(mobile, office_phone, 'No contact') AS contact_number FROM employees;

⚠️
You cannot compare NULL with = or !=

This query will never return rows: WHERE email = NULL. NULL is not equal to anything, including itself. You must always use IS NULL or IS NOT NULL. This is one of the most common SQL beginner mistakes.

Operators

SQL Operators

SQL has four categories of operators. Understanding them is essential for writing effective WHERE clauses and expressions.

Arithmetic Operators

SQL

SELECT emp_id, salary, salary * 12 AS annual_salary, salary * 1.10 AS salary_after_10pct_raise, salary + 5000 AS salary_with_bonus, salary / 22 AS daily_rate, MOD(emp_id, 10) AS last_digit_of_id FROM employees;

Comparison Operators

SQL

--All standard comparisons work in WHERE clauses SELECT * FROM employees WHERE salary = 60000 AND hire_date DATE '2024-01-01' AND department [-ne] 'HR'; --use sql not equal to operator

Logical Operators

SQL

-- AND, OR, NOT — combine multiple conditions SELECT * FROM employees WHERE status = 'A' AND (department = 'IT' OR department = 'Engineering') AND NOT emp_id IN (SELECT emp_id FROM suspended_employees);

Concatenation Operator

SQL

-- Oracle uses || for string concatenation SELECT first_name || ' ' || last_name AS full_name, department || ' - ' || TO_CHAR(hire_date, 'YYYY') AS dept_year FROM employees;

-- MySQL uses CONCAT() SELECT CONCAT(first_name, ' ', last_name) AS full_name FROM employees;

LIMIT & FETCH FIRST

LIMIT & FETCH FIRST — Row Limiting

Row limiting is used to return only a subset of results — essential for pagination and performance.

SQL

-- MySQL / PostgreSQL — LIMIT SELECT * FROM employees ORDER BY salary DESC LIMIT 10;

-- MySQL / PostgreSQL — with OFFSET for pagination SELECT * FROM employees ORDER BY salary DESC LIMIT 10 OFFSET 20; -- page 3

-- Oracle 12c+ — FETCH FIRST (SQL standard) SELECT * FROM employees ORDER BY salary DESC FETCH FIRST 10 ROWS ONLY;

-- Oracle 12c+ — with OFFSET SELECT * FROM employees ORDER BY salary DESC OFFSET 20 ROWS FETCH NEXT 10 ROWS ONLY;

-- Oracle legacy (pre-12c) — use ROWNUM SELECT * FROM ( SELECT * FROM employees ORDER BY salary DESC ) WHERE ROWNUM = 10;

-- SQL Server — TOP SELECT TOP 10 * FROM employees ORDER BY salary DESC;

⚠️
Always use ORDER BY with row limiting

Without ORDER BY, the rows returned by LIMIT or FETCH FIRST are non-deterministic — the database can return any rows in any order. For correct pagination, always specify an ORDER BY clause.

Aliases

Aliases — AS Keyword

Aliases give a column or table a temporary name in the output. They improve readability and are required when referencing calculated columns.

SQL

-- Column alias (AS keyword) SELECT first_name || ' ' || last_name AS full_name, salary * 12 AS annual_salary, ROUND(salary / 22, 2) AS daily_rate FROM employees;

-- Column alias without AS (also valid, less readable) SELECT salary * 12 annual_salary FROM employees;

-- Table alias — essential for self-joins and readability SELECT e.first_name AS employee, m.first_name AS manager FROM employees e JOIN employees m ON e.manager_id = m.emp_id;

-- Table alias in subqueries SELECT dept_stats.department, dept_stats.avg_salary FROM ( SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department ) dept_stats WHERE dept_stats.avg_salary > 65000;

Comments

SQL Comments

Comments document your SQL code and are ignored by the database engine during execution.

SQL

-- Single-line comment: starts with -- SELECT first_name, salary -- returns active employees only FROM employees WHERE status = 'A'; -- 'A' = Active

/* Multi-line comment: used for longer explanations, author attribution, or temporarily disabling blocks of code / SELECT dept_id, / AVG(salary) AS avg_salary, -- temporarily disabled / COUNT() AS headcount FROM employees GROUP BY dept_id;

Good commenting practice

Comment the why, not the what. -- filter active only adds nothing when the code already says WHERE status = 'A'. A better comment would be: -- inactive employees are excluded from payroll calculations per HRMS-101.

Basic Functions

Basic Functions — UPPER, ROUND, NOW

SQL has built-in functions for working with strings, numbers, and dates. These cover the vast majority of everyday transformation needs.

String Functions

SQL

-- UPPER / LOWER — change case SELECT UPPER(first_name), LOWER(email) FROM employees;

-- LENGTH — number of characters SELECT first_name, LENGTH(first_name) AS name_length FROM employees;

-- SUBSTR / SUBSTRING — extract a portion of a string -- Oracle: SUBSTR(str, start_pos, length) SELECT SUBSTR('RetailCoder', 1, 6) FROM dual; -- 'Retail'

-- TRIM — remove leading/trailing spaces SELECT TRIM(' hello world ') FROM dual; -- 'hello world'

-- REPLACE — substitute text SELECT REPLACE(phone, '-', '') AS clean_phone FROM employees;

-- CONCAT / || — join strings SELECT CONCAT(first_name, ' ', last_name) FROM employees; -- MySQL SELECT first_name || ' ' || last_name FROM employees; -- Oracle

Numeric Functions

SQL

-- ROUND — round to n decimal places SELECT ROUND(salary / 22, 2) AS daily_rate FROM employees; SELECT ROUND(3.14159, 2) FROM dual; -- 3.14

-- CEIL / CEILING — round up to nearest integer SELECT CEIL(4.1) FROM dual; -- 5

-- FLOOR — round down to nearest integer SELECT FLOOR(4.9) FROM dual; -- 4

-- ABS — absolute value SELECT ABS(-5000) FROM dual; -- 5000

-- MOD — remainder (modulo) SELECT MOD(17, 5) FROM dual; -- 2

-- POWER — exponentiation SELECT POWER(2, 10) FROM dual; -- 1024

Date Functions

SQL

-- SYSDATE / CURRENT_DATE — current date and time SELECT SYSDATE FROM dual; -- Oracle SELECT CURRENT_DATE FROM dual; -- Standard SQL, MySQL, PostgreSQL

-- TRUNC — remove time component from a date SELECT TRUNC(SYSDATE) FROM dual; -- Today's date with time set to 00:00:00

-- ADD_MONTHS — add months to a date (Oracle) SELECT ADD_MONTHS(SYSDATE, 3) FROM dual; -- 3 months from today

-- MONTHS_BETWEEN — months between two dates (Oracle) SELECT MONTHS_BETWEEN(SYSDATE, hire_date) AS tenure_months FROM employees;

-- TO_CHAR — format a date as a string (Oracle) SELECT TO_CHAR(hire_date, 'DD-Mon-YYYY') AS formatted_date FROM employees;

-- TO_DATE — parse a string to a date (Oracle) SELECT * FROM employees WHERE hire_date >= TO_DATE('01-Jan-2023', 'DD-Mon-YYYY');

-- DATEADD (SQL Server) / DATE_ADD (MySQL) SELECT DATE_ADD(order_date, INTERVAL 30 DAY) AS due_date FROM orders;

Gotchas

Common Gotchas for Beginners

  • !

    Using = NULL instead of IS NULL. WHERE email = NULL never matches any row because NULL is not equal to anything — not even itself. Always write WHERE email IS NULL or WHERE email IS NOT NULL.

  • !

    Forgetting WHERE on UPDATE or DELETE. Without a WHERE clause, UPDATE employees SET salary = 0 sets every employee's salary to zero. Always verify with a SELECT first.

  • !

    Using FLOAT for currency values. Floating-point arithmetic introduces invisible rounding errors. For prices, salaries, and tax amounts always use DECIMAL(p,s) or NUMBER(p,s).

  • !

    Assuming ORDER BY without LIMIT is enough. Row order without LIMIT/FETCH FIRST is not guaranteed in SQL — the engine is free to return rows in any order it chooses for performance reasons. Rely on ORDER BY only in the final query that returns data to the user.

  • !

    Oracle DATE columns storing time. In Oracle, DATE stores date + time. Comparisons like WHERE order_date = TO_DATE('2025-01-15', 'YYYY-MM-DD') fail if the time is not midnight. Use TRUNC(order_date) = DATE '2025-01-15' or order_date BETWEEN DATE '2025-01-15' AND DATE '2025-01-15' + 1.

  • !

    AND has higher precedence than OR. WHERE dept = 'IT' OR dept = 'HR' AND status = 'A' is evaluated as WHERE dept = 'IT' OR (dept = 'HR' AND status = 'A') — which may not be what you intended. Always use parentheses when mixing AND and OR.

Key Takeaways

Key Takeaways
  • SQL is the universal language of relational databases. The core syntax works across Oracle, MySQL, PostgreSQL, and SQL Server with minor dialect differences.
  • Choose data types carefully at design time — DECIMAL for money, VARCHAR2/VARCHAR for text, DATE/TIMESTAMP for time values. Changing column types later requires a migration.
  • DDL (CREATE, ALTER, DROP) defines structure. DML (INSERT, UPDATE, DELETE) manages data. Always use WHERE with UPDATE and DELETE.
  • NULL is the absence of a value — it is not zero or empty string. Use IS NULL and IS NOT NULL. Use NVL() or COALESCE() to substitute a default for NULLs in expressions.
  • LIKE with % and _ provides pattern matching. IN tests set membership. BETWEEN filters ranges (inclusive on both ends).
  • Always ORDER BY when using LIMIT or FETCH FIRST. Row order without ORDER BY is undefined.
  • Built-in functions (UPPER, ROUND, TRUNC, SUBSTR, COALESCE, TO_CHAR) handle the vast majority of data transformation needs without writing procedural code.
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