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PostgreSQLquery~5 mins

Integer types (smallint, integer, bigint) in PostgreSQL

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Introduction

Integer types store whole numbers without decimals. They help save space and keep data organized.

When you need to store small numbers like ages or counts (use smallint).
When you want to store regular whole numbers like IDs or quantities (use integer).
When you expect very large numbers like big counters or financial data (use bigint).
Syntax
PostgreSQL
column_name smallint;
column_name integer;
column_name bigint;

smallint stores numbers from -32,768 to 32,767.

integer stores numbers from -2,147,483,648 to 2,147,483,647.

bigint stores numbers from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807.

Examples
Use smallint for age because ages are usually small numbers.
PostgreSQL
CREATE TABLE people (
  age smallint
);
Use integer for product IDs as they can be larger but not extremely big.
PostgreSQL
CREATE TABLE products (
  product_id integer
);
Use bigint for transaction counts that can grow very large over time.
PostgreSQL
CREATE TABLE transactions (
  transaction_count bigint
);
Sample Program

This creates a table with three columns using different integer types, inserts one row, and selects it.

PostgreSQL
CREATE TABLE example_numbers (
  small_num smallint,
  regular_num integer,
  big_num bigint
);

INSERT INTO example_numbers VALUES (32000, 2000000000, 9000000000000000000);

SELECT * FROM example_numbers;
OutputSuccess
Important Notes

Choose the smallest integer type that fits your data to save storage space.

Using a smaller type than needed can cause errors if numbers exceed the range.

PostgreSQL automatically uses 4 bytes for integer and 8 bytes for bigint.

Summary

smallint is for small whole numbers.

integer is the common choice for whole numbers.

bigint is for very large whole numbers.

Practice

(1/5)
1. Which PostgreSQL integer type is best suited for storing very large whole numbers?
easy
A. bigint
B. smallint
C. integer
D. decimal

Solution

  1. Step 1: Understand integer types and their sizes

    smallint stores small numbers, integer stores medium-sized numbers, and bigint stores very large numbers.
  2. Step 2: Identify the type for very large whole numbers

    Since the question asks for very large whole numbers, bigint is the correct choice.
  3. Final Answer:

    bigint -> Option A
  4. Quick Check:

    Very large whole numbers = bigint [OK]
Hint: Biggest integer type is bigint for very large numbers [OK]
Common Mistakes:
  • Confusing smallint with bigint
  • Choosing decimal which is for decimals, not integers
  • Picking integer which is medium size
2. Which of the following is the correct way to declare a column named age as a 2-byte integer in PostgreSQL?
easy
A. age INT2(2);
B. age INTEGER(2);
C. age BIGINT(2);
D. age SMALLINT;

Solution

  1. Step 1: Recall PostgreSQL integer type syntax

    PostgreSQL uses SMALLINT for 2-byte integers. The syntax is simply column_name SMALLINT;.
  2. Step 2: Evaluate each option

    age SMALLINT; uses correct syntax. The other options incorrectly use size in parentheses (like INT2(2), INTEGER(2), BIGINT(2)), which is invalid for integer types in PostgreSQL.
  3. Final Answer:

    age SMALLINT; -> Option D
  4. Quick Check:

    2-byte integer = SMALLINT syntax [OK]
Hint: Use SMALLINT keyword for 2-byte integers, no size in parentheses [OK]
Common Mistakes:
  • Adding size in parentheses like INTEGER(2)
  • Using BIGINT for small numbers
  • Specifying size like INT2(2) for integer types
3. What will be the result of this PostgreSQL query?
CREATE TABLE test_numbers (num SMALLINT); INSERT INTO test_numbers VALUES (40000); SELECT * FROM test_numbers;
medium
A. 40000
B. Error: integer out of range
C. 0
D. NULL

Solution

  1. Step 1: Understand SMALLINT range

    SMALLINT can store values from -32768 to 32767 only.
  2. Step 2: Check inserted value against range

    40000 is greater than 32767, so inserting it causes an error.
  3. Final Answer:

    Error: integer out of range -> Option B
  4. Quick Check:

    40000 > SMALLINT max 32767 = error [OK]
Hint: Check value fits type range; else error occurs [OK]
Common Mistakes:
  • Assuming value truncates silently
  • Expecting 0 or NULL instead of error
  • Confusing SMALLINT range with INTEGER
4. You wrote this table definition:
CREATE TABLE sales (id INTEGER, amount SMALLINT);

But when inserting a large amount like 40000, you get an error. How do you fix it?
medium
A. Change amount column type to INTEGER
B. Change id column type to SMALLINT
C. Insert smaller values only
D. Change amount column type to tinyint

Solution

  1. Step 1: Identify cause of error

    Amount column is SMALLINT which maxes at 32767, so 40000 is too large.
  2. Step 2: Choose appropriate type to hold 40000

    INTEGER can hold values up to 2,147,483,647, so changing amount to INTEGER fixes the error.
  3. Final Answer:

    Change amount column type to INTEGER -> Option A
  4. Quick Check:

    40000 fits INTEGER but not SMALLINT [OK]
Hint: Use INTEGER for values larger than 32767 [OK]
Common Mistakes:
  • Changing unrelated column type
  • Trying to insert smaller values only
  • Choosing tinyint which is a MySQL type, not PostgreSQL
5. You need to store user IDs that can be very large numbers, possibly exceeding 2 billion. Which PostgreSQL integer type should you choose and why?
hard
A. smallint because it uses less storage
B. integer because it supports up to 2 billion
C. bigint because it supports numbers larger than 2 billion
D. serial because it auto-increments

Solution

  1. Step 1: Understand size limits of integer types

    smallint max is 32767, integer max is about 2,147,483,647, bigint supports much larger numbers.
  2. Step 2: Match requirement to type

    User IDs may exceed 2 billion, so integer is insufficient. bigint is needed to store larger values.
  3. Final Answer:

    bigint because it supports numbers larger than 2 billion -> Option C
  4. Quick Check:

    IDs > 2 billion need bigint [OK]
Hint: Use bigint for numbers larger than 2 billion [OK]
Common Mistakes:
  • Choosing smallint for large IDs
  • Assuming integer supports >2 billion
  • Confusing serial with integer size
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