Prompt
Answer
Language/Technology Identification
The provided code snippet is written in SQL (Structured Query Language).
Code Refactoring
Issues and Improvements
- Formatting for Readability: The original query lacks proper formatting, making it harder to read and debug.
- Aliasing Improvements: Use aliases to make the query more concise and easier to read.
- Consistent Case Usage: SQL keywords should consistently use upper case for readability.
- Column Aliasing: Use SQL
AS
clause for clarity and conciseness in renaming columns. - Date Manipulation: Extracting
MONTH
andYEAR
multiple times is not efficient. Instead, useDATEPART
. - Explicit Column Selection: Ensure the columns are explicitly stated, avoiding potential issues with database schema changes.
Refactored Code
SELECT
Member_Club,
MemberProduct AS memberproduct,
COUNT(ID) AS membercount,
DATEPART(MONTH, CreatedDateTime) AS Month,
DATEPART(YEAR, CreatedDateTime) AS Year
FROM
[EDW].[RS].[FactRoadServiceJobs]
WHERE
BKDateKey BETWEEN '20171101' AND '20241231'
AND JobServiceCategory = 'tow'
AND PatrolUnit LIKE '5MT%'
AND JobStatus = 'COMPLETED'
GROUP BY
DATEPART(MONTH, CreatedDateTime),
DATEPART(YEAR, CreatedDateTime),
MemberProduct,
Member_Club
ORDER BY
DATEPART(YEAR, CreatedDateTime),
DATEPART(MONTH, CreatedDateTime);
Documentation of Changes
Formatting for Readability:
- Issue: The original query is hard to read due to lack of proper formatting.
- Refactoring: Introduced line breaks and indentations for improved readability.
- Benefit: Easier to read, understand, and maintain the code.
Aliasing Improvements:
- Issue: Inconsistent use of original column names and desired output names.
- Refactoring: Added meaningful aliases using the
AS
keyword. - Benefit: Clarifies the purpose of each column, aiding in understanding and future maintenance.
Consistent Case Usage:
- Issue: Mixed case usage for SQL keywords.
- Refactoring: Used upper case for all SQL keywords (
SELECT
,FROM
,WHERE
,AND
,GROUP BY
,ORDER BY
,AS
) for consistency. - Benefit: Enhances readability and standardizes the code.
Column Aliasing:
- Issue: Missing aliases for derived columns.
- Refactoring: Used
AS Month
,AS Year
forDATEPART
functions. - Benefit: Clearly indicates the meaning of each derived column.
Date Manipulation:
- Issue: Repeated extraction of
MONTH
andYEAR
fromCreatedDateTime
. - Refactoring: Utilized
DATEPART
to efficiently extractMONTH
andYEAR
. - Benefit: Reduces redundancy and improves performance.
- Issue: Repeated extraction of
Explicit Column Selection:
- Issue: Implicit assumptions about column names and calculations.
- Refactoring: Ensured all columns are explicitly selected and alias
MemberProduct
correctly. - Benefit: Avoids potential issues with changes in the database schema and improves query clarity.
Summary
The refactored SQL code adheres to best practices by improving readability, performance, and alignment with SQL-specific conventions. Each change has been documented to clarify its necessity and the enhancements it introduces to the query's structure and functionality.
Description
This document details the refactoring process of an SQL code snippet, focusing on readability, consistent case usage, effective aliasing, and improved column selection while adhering to SQL best practices for better performance and maintenance.