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SQL Query Design Patterns and Best Practices

SQL Query Design Patterns and Best Practices

By : Steve Hughes, Steven Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang, Neer, Ram Babu Singh, Shabbir Mala, Andrews, Zhang
4.7 (11)
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SQL Query Design Patterns and Best Practices

SQL Query Design Patterns and Best Practices

4.7 (11)
By: Steve Hughes, Steven Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang, Neer, Ram Babu Singh, Shabbir Mala, Andrews, 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)
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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 JSON data in SQL queries

So far, we have focused on how to build JSON-formatted results from the queries we have been creating. In this section, we are going to explore how to work with JSON data in our queries. We will look at how to discover and validate our JSON data, followed by extracting and modifying that information. We will wrap this section up by building out a query to convert JSON data into tabular data with a relationship to relational data as well.

Discovering JSON data in SQL Server

There are two primary functions we will work with within SQL Server to discover and validate JSON data. These functions confirm that we are working with JSON data and that the data we are looking at exists in the JSON document.

ISJSON

ISJSON is used to evaluate a variable, expression, or field in a SQL query to determine that the structure of that data is properly formatted JSON. In our example, we will investigate the CustomerOrderHistory field in our CustomerOrders...

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