How to Easily Convert Numbers to Millions in SQL Queries скачать в хорошем качестве

How to Easily Convert Numbers to Millions in SQL Queries

Learn how to convert large numbers to millions in SQL using simple arithmetic and the `round()` function for better readability. --- This video is based on the question https://stackoverflow.com/q/63588650/ asked by the user 'user14140366' ( https://stackoverflow.com/u/14140366/ ) and on the answer https://stackoverflow.com/a/63588669/ provided by the user 'GMB' ( https://stackoverflow.com/u/10676716/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How do i convert a number to Millions Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Easily Convert Numbers to Millions in SQL Queries When working with large datasets, particularly in financial or business contexts, you might encounter numbers that are presented in scientific notation (e.g., 3.438417e+ 08). This numerical format can be challenging to interpret at a glance. A common solution is to convert these large numbers into a more digestible format, such as millions. In this guide, we will explore how to convert a number like 3.438417e+ 08 to a more readable format such as 3.4M or 3,450,000. We will also provide a SQL query example to demonstrate how to implement this conversion in your database queries. The Problem You have a SQL query that yields results in scientific notation. For instance, when summing up values in a database, you get results like 3.438417e+ 08. Your goal is to convert these numbers into millions to enhance the readability of the results. SQL Query Example Consider the following SQL query you are currently using: [[See Video to Reveal this Text or Code Snippet]] The results of this query produced large numbers in the format of scientific notation: 3.438417e+ 08, 1.457290e+ 08, and 1.981180e+ 08. The Solution To convert these large numbers into millions, we can perform arithmetic operations and utilize the round() function in SQL. Let’s break down the necessary steps: Step-by-Step Conversion Process Divide the Values: Since you'll be converting to millions, divide each sum by 1,000,000. Round the Results: Use the round() function to format the output to 2 decimal places for better readability. Modified SQL Query Here’s how you should modify your original SQL query: [[See Video to Reveal this Text or Code Snippet]] Key Changes: Table Aliases: Using aliases (pr, cr, pi) makes the SQL code shorter and more readable. Division and Rounding: Each SUM is divided by 1,000,000 and rounded to two decimal places. Resulting Output Format With these changes, rather than obtaining results in scientific notation, you will see values like: 3.44 million for the total pipeline AOV value 1.46 million for the total credits AOV value 1.98 million for the leads to be converted Conclusion By following the steps outlined above, you can effectively convert large numerical outputs in your SQL queries into a more manageable format, such as millions. This not only improves the readability of your data but also allows stakeholders to grasp financial metrics more quickly. Feel free to integrate this practice into your SQL querying routine for enhanced clarity in presentation and reporting.