Book Image

SQL Query Design Patterns and Best Practices

By : Steve Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang
5 (1)
Book Image

SQL Query Design Patterns and Best Practices

5 (1)
By: Steve Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang

Overview of this book

SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You’ll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you’ll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you’ll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience.
Table of Contents (21 chapters)
1
Part 1: Refining Your Queries to Get the Results You Need
6
Part 2: Solving Complex Business and Data Problems in Your Queries
11
Part 3: Optimizing Your Queries to Improve Performance
14
Part 4: Working with Your Data on the Modern Data Platform

Working with the UNPIVOT operator

The UNPIVOT operator performs the complete opposite operation of the PIVOT operator. It rotates columns into rows. For example, in the previous section, the supplier’s name [A Datum Corporation] would be rotated to record the row value and all purchase order values would be added to a new column, [PurchaseOrder].

In the following example, we have provided a SQL script to create a new table, pvtSupplierPurchaseOrder, with one record storing values, similar to the output from the dynamic PIVOT example discussed in the previous section:

-------------------------------------------------------------
-- Create sample table for UNPIVOT operator testing
-------------------------------------------------------------DROP TABLE IF EXISTS [dbo].[pvtSupplierPurchaseOrder];
GO
-- Create the table and insert values as portrayed in the previous example.CREATE TABLE pvtSupplierPurchaseOrder (
TotalPurchaseOrders VARCHAR(25)
, [A Datum Corporation] INT
...