Data types in Snowflake - Step-by-Step Execution

Process Flow - Data types in Snowflake

Start: Define Column

↓

Choose Data Type

↓

Assign Storage Format

↓

Validate Data Type

↓

Create Column

↓

Store Data

↓

End

This flow shows how Snowflake assigns and validates data types when creating table columns, ensuring data is stored correctly.

Execution Sample

Snowflake

CREATE TABLE users (
  id INT,
  name STRING,
  signup_date DATE
);

Creates a table 'users' with three columns, each assigned a specific Snowflake data type.

Process Table

Step	Action	Column	Data Type Chosen	Validation Result	Outcome
1	Define column	id	INT	Valid	Column 'id' created with INT type
2	Define column	name	STRING	Valid	Column 'name' created with STRING type
3	Define column	signup_date	DATE	Valid	Column 'signup_date' created with DATE type
4	Store data	id	INT	N/A	Data stored as integer
5	Store data	name	STRING	N/A	Data stored as string
6	Store data	signup_date	DATE	N/A	Data stored as date
7	End	N/A	N/A	N/A	Table 'users' created successfully

💡 All columns validated and data types assigned correctly; table creation completed.

Status Tracker

Variable	Start	After Step 1	After Step 2	After Step 3	Final
id	undefined	INT assigned	INT assigned	INT assigned	INT assigned
name	undefined	undefined	STRING assigned	STRING assigned	STRING assigned
signup_date	undefined	undefined	undefined	DATE assigned	DATE assigned

Key Moments - 2 Insights

Why can't I assign a string value to an INT column?

Because the execution_table shows 'id' column is validated as INT at step 1, Snowflake expects only integer values there.

What happens if I try to use a data type Snowflake does not support?

The flow shows an 'Error: Invalid Type' branch after validation fails, so the table creation will stop with an error.

Visual Quiz - 3 Questions

Look at the execution_table, what data type is assigned to the 'name' column at step 2?

A INT

B STRING

C DATE

D BOOLEAN

💡 Hint

Check the 'Data Type Chosen' column for step 2 in the execution_table.

At which step does Snowflake validate the 'signup_date' column data type?

A Step 3

B Step 2

C Step 1

D Step 4

💡 Hint

Look for the 'Validation Result' for 'signup_date' in the execution_table.

If you tried to assign a FLOAT data type to the 'id' column instead of INT, what would happen?

A Validation would fail and table creation would stop

B Data would be stored as INT anyway

C Column 'id' would be created as FLOAT without error

D Snowflake would convert FLOAT to STRING automatically

💡 Hint

FLOAT is a valid Snowflake data type, so validation passes and the column would be created as FLOAT.

Concept Snapshot

Snowflake data types define how data is stored in columns.
Common types: INT (numbers), STRING (text), DATE (dates).
Assign types when creating tables.
Snowflake validates types before storing data.
Invalid types cause errors and stop table creation.

Full Transcript

This visual execution traces how Snowflake handles data types when creating a table. First, each column is defined with a chosen data type like INT, STRING, or DATE. Snowflake validates each type to ensure it is supported. If valid, the column is created and data can be stored accordingly. If an invalid type is used, the process stops with an error. The example shows a table 'users' with three columns, each assigned a valid data type, resulting in successful table creation.