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SQL Server 2017 Developer???s Guide
SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide: A professional guide to designing and developing enterprise database applications

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SQL Server 2017 Developer???s Guide

Review of SQL Server Features for Developers

Before delving into the new features in SQL Server 2016 and 2017, let's have a quick recapitulation of the SQL Server features for developers that are already available in the previous versions of SQL Server. Please note that this chapter is not a comprehensive development guide; covering all features would be out of the scope of this book. Recapitulating the most important features will help you remember what you already have in your development toolbox, and also understand the need for and the benefits of the new or improved features in SQL Server 2016 and 2017.

This chapter has a lot of code. As this is not a book for beginners, the intention of this chapter is not to teach you the basics of database development. It is rather a reminder for the powerful and efficient Transact-SQL (T-SQL) and other elements included in SQL Server...

The mighty Transact-SQL SELECT

You probably already know that the most important SQL statement is the mighty SELECT statement you use to retrieve data from your databases. Every database developer knows the basic clauses and their usage:

  • SELECT to define the columns returned, or a projection of all table columns
  • FROM to list the tables used in the query and how they are associated, or joined
  • WHERE to filter the data to return only the rows that satisfy the condition in the predicate
  • GROUP BY to define the groups over which the data is aggregated
  • HAVING to filter the data after the grouping with conditions that refer to aggregations
  • ORDER BY to sort the rows returned to the client application

Besides these basic clauses, SELECT offers a variety of advanced possibilities as well. These advanced techniques are unfortunately less exploited by developers, although they are really...

DDL, DML, and programmable objects

As a developer, you are often also responsible for creating the database objects. Of course, in an application, you need also to insert, update, and delete the data. In order to maintain data integrity, meaning enforcing data to comply with business rules, you need to implement constraints. In our quick review of the data definition language (DDL) and data modification language (DML) elements, we will look at the following statements:

  • CREATE for creating tables and programmatic objects
  • ALTER to add constraints to a table
  • DROP to drop an object
  • INSERT to insert new data
  • UPDATE to change existing data
  • DELETE to delete the data

In a SQL Server database, you can also use programmatic objects. You can use triggers for advanced constraints or to maintain some redundant data such as aggregated data. You can use other programmatic objects for data...

Transactions and error handling

In a real-world application, errors always appear. Syntax or even logical errors can be in the code, the database design might be incorrect, there might even be a bug in the database management system you are using. Even if everything works correctly, you might get an error because the users insert wrong data. With Transact-SQL error handling you can catch such user errors and decide what to do upon them. Typically, you want to log the errors, inform the users about the errors, and sometimes even correct them in the error handling code.

Error handling for user errors works on the statement level. If you send SQL Server a batch of two or more statements and the error is in the last statement, the previous statements execute successfully. This might not be what you desire. Often, you need to execute a batch of statements as a unit, and fail all of...

Beyond relational

Beyond relational is actually only a marketing term. The relational model, used in the relational database management system, is nowhere limited to specific data types, or specific languages only. However, with the term beyond relational, we typically mean using specialized and complex data types that might include spatial and temporal data, and XML or JSON data, and extending the capabilities of the Transact-SQL language with CLR languages like Visual C#, or statistical languages like R. SQL Server, in versions before 2016, already supports some of the features mentioned. Here is a quick review of this support, which includes:

  • Spatial data
  • CLR support
  • XML data

Spatial data

In modern applications, often...

Summary

In this chapter, we reviewed the SQL Server features for developers that already exist in the previous versions. You can see that this support goes well beyond basic SQL statements, and also beyond pure Transact-SQL.

The features recapitulation in this chapter is also useful as an introduction to new features in SQL Server 2016 and 2017, introduced in the following chapters, especially in Chapter 4, Transact-SQL and Database Engine Enhancement; Chapter 5, JSON Support in SQL Server; Chapter 7, Temporal Tables; and Chapter 13, Supporting R in SQL Server.

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Key benefits

  • Build database applications by using the development features of SQL Server 2017
  • Work with temporal tables to get information stored in a table at any time
  • Use adaptive querying to enhance the performance of your queries

Description

Microsoft SQL Server 2017 is a milestone in Microsoft's data platform timeline, as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. This book prepares you for advanced topics by starting with a quick introduction to SQL Server 2017's new features. Then, it introduces you to enhancements in the Transact-SQL language and new database engine capabilities before switching to a different technology: JSON support. You will take a look at the security enhancements and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Toward the end of the book, you'll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You'll also learn to integrate Python code into SQL Server and graph database implementations as well as the deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will be armed to design efficient, high-performance database applications without any hassle.

Who is this book for?

Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well. Some basic understanding of database concepts and T-SQL is required to get the best out of this book.

What you will learn

  • • Explore the new development features introduced in SQL Server 2017
  • • Identify opportunities for In-Memory OLTP technology
  • • Use columnstore indexes to get storage and performance improvements
  • • Exchange JSON data between applications and SQL Server
  • • Use the new security features to encrypt or mask the data
  • • Control the access to the data on the row levels
  • • Discover the potential of R and Python integration
  • • Model complex relationships with the graph databases in SQL Server 2017
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Publication date : Mar 16, 2018
Length: 816 pages
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Language : English
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Table of Contents

18 Chapters
Introduction to SQL Server 2017 Chevron down icon Chevron up icon
Review of SQL Server Features for Developers Chevron down icon Chevron up icon
SQL Server Tools Chevron down icon Chevron up icon
Transact-SQL and Database Engine Enhancements Chevron down icon Chevron up icon
JSON Support in SQL Server Chevron down icon Chevron up icon
Stretch Database Chevron down icon Chevron up icon
Temporal Tables Chevron down icon Chevron up icon
Tightening Security Chevron down icon Chevron up icon
Query Store Chevron down icon Chevron up icon
Columnstore Indexes Chevron down icon Chevron up icon
Introducing SQL Server In-Memory OLTP Chevron down icon Chevron up icon
In-Memory OLTP Improvements in SQL Server 2017 Chevron down icon Chevron up icon
Supporting R in SQL Server Chevron down icon Chevron up icon
Data Exploration and Predictive Modeling with R Chevron down icon Chevron up icon
Introducing Python Chevron down icon Chevron up icon
Graph Database Chevron down icon Chevron up icon
Containers and SQL on Linux Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.6
(5 Ratings)
5 star 20%
4 star 40%
3 star 20%
2 star 20%
1 star 0%
Minnesota Oct 19, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Book has great examples using SQL and details for developers on creating sql code for new 2016 2017 features like JSON and encryption. A dba may decide to skip past and go to the dba topics but still highly recommended.
Amazon Verified review Amazon
Ian Stirk Oct 17, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
ConclusionThe book’s title is misleading. This book is essentially the SQL Server 2016 version of the book, amended to take into account SQL Server 2017. I would estimate 75% of the book relates to SQL server 2016, and 25% to 2017. In some ways I felt a bit cheated. That said, if you’re unfamiliar with both SQL Server 2016 and 2017, this book is an excellent starting place, and would merit a rating of 4.8 (out of 5).This book aims to introduce you to the salient new and enhanced features in SQL Server 2016 and 2017, and succeeds. It is generally easy to read, well written, with useful explanations, tips, example code, and diagrams.Whilst the book doesn’t cover all the new features (e.g. PolyBase), it does cover the major ones. I suspect the more you know about SQL Server already, the more useful this book will be. Since the book focuses on new and enhanced features, large subject areas are omitted (e.g. database design).Sometimes, before discussing an extended feature (e.g. In-Memory OLTP), a large amount of background information is given with reference to previous editions of SQL Server. Whilst this may be useful if you don’t know the feature, it could be argued it is unnecessary - if you already know SQL Server 2014.It might have been useful to include a section discussing SQL Server changes in terms of some of the industry’s wider trends (e.g. Big Data, Social Media, the Cloud).Overall, if you want to know more about the new and enhanced features in SQL Server 2016 and 2017 together, I can recommend this well-written book.
Amazon Verified review Amazon
PRASHANT KHANDARE Sep 06, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Good Product.
Amazon Verified review Amazon
A C Mar 30, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
There is lots of good info in this book, though it is clearly a partially updated version of the 2016 book. Whole sections discuss SQL Server 2016 as the new version, not 2017. And the large page count is partly due to the number of pages that just contain a short paragraph.
Amazon Verified review Amazon
Holger Aug 22, 2019
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Das E-Book ist schlecht lesbar, Grafiken überlappen den Text und die Texte mit "Source Codes" sehen grausig aus. Schwierig was über den Inhalt zu erfahren und zu rezensieren, wenn es so sehr anstrengt den Text zu lesen.
Amazon Verified review Amazon
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