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SQL Prompt Completion Hello I'm Dan Sullivan and I'll be presenting this module on the completion features in Red Gate's SQL prompt. Red Gate SQL prompt is an add on for SQL Server Management Studio that suggests completions as you type, formats code, and makes it easier to inspect code to see what it is doing. It also adds these features to Visual Studio for database projects.

In this course, however, we'll be focusing on SQL Server Management Studio. SQL prompt understands the syntax of SQL and its keywords and the content of the schemas of the databases you are working on. It uses this information to suggest completions to what you are typing. It also intelligently generates aliases in queries, it makes it easier to understand the code you are looking at by adding tool tips to it. It also does general code clean up by formatting. For example, it will format the code to look the way you want it to look. It has a number of features that help you understand the code you are looking at.

So let's take a look at how these features work and how you can manage them. SQL Prompt Snippets Hello I'm Dan Sullivan from Pluralsight and I'll be presenting this module on using and making snippets for Red Gate's SQL prompt.

We're going to start out by looking at how you use SQL prompt snippets and they're similar to snippets in Visual Studio, but they're static. Then we're going to enhance them by parameterizing them, that is make them work a lot more like the snippets in Visual Studio do where if you have the same text going in multiple places in the snippet you only have to enter it once. And then lastly we're going to take a look at how we can use the templates that are built into SQL Server Management Studio as snippets in SQL prompt. So, let's get started by looking at how you use snippets. SQL Prompt Refactoring Hello I'm Dan Sullivan and I'll be presenting this module on the capabilities that SQL prompt adds to SQL Server Management Studio and to Visual Studio when you're building database projects. In this module we'll be looking at code refactoring, which allows you to take fragments of SQL script and turn them into calls to stored procedures, much like you would take fragments of code in C# or VB. NET and convert those into calls to methods.

And we'll also be looking at table refactoring, which allows you to refactor the metadata that defines your database. So you can take, for example, a single table and split it into two tables, usually with a common column or set of columns that you can use to join those tables in a view later on.

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This topic provides an overview of how you set up SQL Data Generator to generate data. You are recommended to back up the database that you are going to populate before you generate the data; you can then adjust the settings and repeat the data generation if you are not happy with the results. To generate data, first create a project by selecting the SQL Server and database you want to populate. Programma dlya razvertki detalej ventilyacii. The project also defines some options for the data generation, and you can specify any number of SQL scripts that you want SQL Data Generator to run automatically before or after generating the data. When you have created a project, the schema of the database you selected is listed in a tree view in the Tables to populate pane. You specify the tables that you want to populate by selecting the Populate check box.

By default, these are all selected, but you can change this option for both new projects and new tables in your application options (accessed from the Tools menu). To see the creation SQL script for a table, right-click the table or column name in the tree view and click Show Schema Creation Script.

When you have selected the Populate check box for a table, you can define how you want the data to be generated: click the table name in the Tables to populate pane, and specify the details in the Table generation settings pane. You can choose to: • create data using generators SQL Data Generator automatically assigns a generator to each column based on its table name, column name, data type, and length. If the column has constraints, SQL Data Generator uses these to set the generator parameters for the column; if the constraints cannot be complied with in this way, the is assigned instead and an appropriate regular expression is set up. You can change the generator used by a particular column later if required. For detailed information, see. • import data You can import a table or view from an existing database, or an existing CSV file.