Serial and identity columns in PostgreSQL

Introduction

Serial and identity columns help automatically create unique numbers for new rows. This makes it easy to give each row a special ID without typing it yourself.

When you want each row in a table to have a unique number automatically.

When adding new records and you don't want to manually assign IDs.

When creating a list of items where each needs a unique identifier.

When you want to keep track of rows with a simple number that increases.

When you want to avoid mistakes from typing duplicate IDs.

Syntax

PostgreSQL

CREATE TABLE table_name (
  column_name SERIAL PRIMARY KEY
);

-- or using identity columns (PostgreSQL 10+)
CREATE TABLE table_name (
  column_name INT GENERATED { ALWAYS | BY DEFAULT } AS IDENTITY PRIMARY KEY
);

SERIAL is a shortcut that creates an integer column and a sequence to auto-increment values.

IDENTITY columns are the SQL standard way and give more control over how numbers are generated.

Examples

This creates a table with an auto-incrementing id column using SERIAL.

PostgreSQL

CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  name TEXT
);

This creates a table with an identity column that always generates a new number for order_id.

PostgreSQL

CREATE TABLE orders (
  order_id INT GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
  product_name TEXT
);

This creates a table where product_id is auto-generated but you can also insert your own number if needed.

PostgreSQL

CREATE TABLE products (
  product_id INT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
  product_name TEXT
);

Sample Program

This example creates an employees table with a SERIAL column for employee_id. It inserts two employees and shows their IDs automatically assigned.

PostgreSQL

CREATE TABLE employees (
  employee_id SERIAL PRIMARY KEY,
  employee_name TEXT
);

INSERT INTO employees (employee_name) VALUES ('Alice');
INSERT INTO employees (employee_name) VALUES ('Bob');

SELECT * FROM employees ORDER BY employee_id;

Important Notes

SERIAL is easy to use but is PostgreSQL-specific.

IDENTITY columns follow the SQL standard and are recommended for new projects.

Always use PRIMARY KEY with these columns to ensure uniqueness.

Summary

Serial and identity columns automatically create unique numbers for new rows.

SERIAL is a quick PostgreSQL shortcut; IDENTITY is the standard and more flexible.

Use them to avoid manual ID entry and prevent duplicates.

Practice

1.

What is the main purpose of using SERIAL or IDENTITY columns in PostgreSQL?

easy

A. To automatically generate unique numbers for new rows

B. To store large text data efficiently

C. To create foreign key relationships

D. To improve query performance by indexing

Solution

1. Step 1: Understand the role of SERIAL and IDENTITY

   Both SERIAL and IDENTITY columns are designed to automatically generate unique numeric values for new rows in a table.

2. Step 2: Identify the main purpose

   This automatic numbering helps avoid manual entry and ensures unique identifiers for each row.

3. Final Answer:

   To automatically generate unique numbers for new rows -> Option A

4. Quick Check:

   Serial and identity columns = auto unique numbers [OK]

Hint: They auto-generate unique IDs for new rows [OK]

Common Mistakes:

• Thinking SERIAL stores text data
• Confusing SERIAL with indexing
• Assuming SERIAL creates foreign keys

2.

Which of the following is the correct syntax to create a table with an IDENTITY column named id in PostgreSQL?

CREATE TABLE users (
  id ???,
  name TEXT
);

easy

A. INT GENERATED AS IDENTITY

B. SERIAL PRIMARY KEY

C. INTEGER GENERATED ALWAYS AS IDENTITY PRIMARY KEY

D. INTEGER AUTO_INCREMENT PRIMARY KEY

Solution

1. Step 1: Recall IDENTITY syntax in PostgreSQL

   The correct syntax uses GENERATED ALWAYS AS IDENTITY for identity columns.

2. Step 2: Match the option with correct syntax

   INTEGER GENERATED ALWAYS AS IDENTITY PRIMARY KEY uses INTEGER GENERATED ALWAYS AS IDENTITY PRIMARY KEY, which is valid PostgreSQL syntax.

3. Final Answer:

   INTEGER GENERATED ALWAYS AS IDENTITY PRIMARY KEY -> Option C

4. Quick Check:

   IDENTITY syntax = GENERATED ALWAYS AS IDENTITY [OK]

Hint: IDENTITY uses GENERATED ALWAYS AS IDENTITY syntax [OK]

Common Mistakes:

• Using AUTO_INCREMENT (MySQL syntax)
• Confusing SERIAL with IDENTITY syntax
• Omitting GENERATED ALWAYS or BY DEFAULT

3.

Given the table creation:

CREATE TABLE products (
  product_id SERIAL PRIMARY KEY,
  name TEXT
);

INSERT INTO products (name) VALUES ('Pen'), ('Pencil'), ('Eraser');

SELECT product_id FROM products ORDER BY product_id;

What will be the output of the SELECT query?

medium

A. [3, 2, 1]

B. [0, 1, 2]

C. [NULL, NULL, NULL]

D. [1, 2, 3]

Solution

1. Step 1: Understand SERIAL behavior on insert

   The SERIAL column auto-increments starting from 1 for each inserted row.

2. Step 2: Check inserted rows and ordering

   Three rows inserted get product_id values 1, 2, and 3 respectively. Ordering by product_id returns them in ascending order.

3. Final Answer:

   [1, 2, 3] -> Option D

4. Quick Check:

   SERIAL starts at 1 and increments [OK]

Hint: SERIAL starts numbering at 1 by default [OK]

Common Mistakes:

• Assuming numbering starts at 0
• Expecting NULL values for SERIAL
• Thinking order is descending by default

4.

Consider this table creation:

CREATE TABLE orders (
  order_id INT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
  product TEXT
);

Which of the following statements will cause an error when inserting data?

medium

A. INSERT INTO orders (order_id, product) VALUES (5, 'Pen'), (5, 'Pencil');

B. INSERT INTO orders (order_id, product) VALUES (5, 'Pen');

C. INSERT INTO orders (product) VALUES ('Book');

D. INSERT INTO orders (order_id, product) VALUES (DEFAULT, 'Notebook');

Solution

1. Step 1: Understand GENERATED BY DEFAULT AS IDENTITY behavior

   This allows manual insertion of order_id or automatic generation if omitted.

2. Step 2: Analyze each insert statement

   INSERT INTO orders (order_id, product) VALUES (5, 'Pen'), (5, 'Pencil'); tries to insert two rows with the same order_id = 5, violating the primary key uniqueness constraint, causing an error.

3. Final Answer:

   INSERT with duplicate order_id values causes error -> Option A

4. Quick Check:

   Duplicate primary keys cause insert errors [OK]

Hint: Duplicate primary keys cause insert errors [OK]

Common Mistakes:

• Assuming GENERATED BY DEFAULT forbids manual IDs
• Ignoring primary key uniqueness
• Thinking DEFAULT keyword causes errors

5.

You want to create a table employees with a IDENTITY column named id that automatically generates unique IDs but also allows you to insert specific IDs manually when needed. Which is the best way to define the ID column?

hard

A. Use SERIAL PRIMARY KEY for the ID column

B. Use INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY

C. Use INTEGER GENERATED ALWAYS AS IDENTITY PRIMARY KEY

D. Use INTEGER without any auto-generation

Solution

1. Step 1: Understand difference between GENERATED ALWAYS and BY DEFAULT

   GENERATED ALWAYS AS IDENTITY disallows manual inserts; BY DEFAULT allows manual ID insertion.

2. Step 2: Match requirement to syntax

   Since manual insertion is needed sometimes, GENERATED BY DEFAULT AS IDENTITY is the best choice.

3. Final Answer:

   INTEGER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY -> Option B

4. Quick Check:

   BY DEFAULT allows manual IDs, ALWAYS does not [OK]

Hint: BY DEFAULT allows manual ID insertion [OK]

Common Mistakes:

• Choosing GENERATED ALWAYS which forbids manual IDs
• Using SERIAL which is less flexible
• Not using any auto-generation and risking duplicates