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Understanding SQL Data Types – How to Use Them in 10 Minutes

By: Chris Garzon | January 16, 2025 | 3 mins read

In the world of data engineering, understanding SQL data types is crucial for managing and manipulating data effectively. In this blog post, we will explore the key concepts of SQL data types, their purposes, and how to use them in practical scenarios. Whether you’re a beginner or looking to refresh your knowledge, this guide will provide you with the insights you need to answer SQL data type questions confidently.

Understanding SQL Data Types

SQL data types define how data is stored, manipulated, and retrieved in a database. Each data type has a specific purpose and is essential for ensuring data integrity and efficiency.

Common SQL Data Types

Numerical Data Types

  1. Integers: Whole numbers like 1, 2, 3, etc.
  2. Decimals: Numbers with a defined precision, allowing for specific digits in the whole and decimal parts.
  3. Floats: Similar to decimals but without a specified precision.

Character String Data Types

  1. Fixed length (CHAR): Requires exactly ‘n’ characters. For example, a CHAR(7) column must contain seven characters.
  2. Variable length (VARCHAR): Can contain any number of characters up to ‘n’. Ideal for names and addresses.

Date and Time Data Types

  1. DATE: Represents a date in the format year-month-day.
  2. TIME: Represents a time value, usually in hours, minutes, and seconds.
  3. TIMESTAMP: Combines date and time into a single value.
  4. BOOLEAN: Represents true or false values.

Practical Application: Calculating Date Differences

In our SQL scenario, we need to calculate the number of days between each order date and a fixed date, June 1st, 2023. This task involves using SQL functions effectively.

Step-by-Step Guide

  1. Select required columns: Start by selecting the necessary columns from the customers and orders tables.
  2. Join tables: Use an inner join to connect the customers who have placed orders.
  3. Calculate date difference: Implement the DATEDIFF function to find the difference between the order date and June 1st, 2023.

SQL Query Example

Here’s a simplified version of the SQL query you might use:

SELECT 
    c.customer_id, 
    o.order_date, 
    DATEDIFF('2023-06-01', o.order_date) AS days_since_order
FROM 
    customers c 
JOIN 
    orders o ON c.customer_id = o.customer_id
WHERE 
    o.order_date IS NOT NULL;

Understanding SQL Functions

SQL functions are powerful tools that perform computations. The DATEDIFF function, for example, requires two arguments: the two dates between which you want to calculate the difference. The output will be the number of days between these two dates.

Conclusion

Mastering SQL data types is essential for any data engineer. By understanding the different types and their applications, you can manipulate data more effectively. Practice using SQL queries to reinforce your knowledge, and you’ll be well on your way to answering SQL data type questions in no time. For more insights and tutorials, stay tuned to the Data Engineer Academy!

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