![]() Models can be documented in either HTML or plain text format, and includes all the objects and models in a current MySQL Workbench session. MySQL Workbench includes DBDoc that enables a DBA or developer to deliver point-and-click database documentation. Database Documentationĭocumenting database designs can be a time-consuming process. A DBA can compare two live databases or a model and a live database and visually see the differences, and also perform synchronization between a model and a live database or vice versa. To help DBAs and developers with change management, MySQL Workbench includes Schema Synchronization and Comparison utilities. Change Managementĭatabase change management is a difficult and complex process, which involves maintaining different versions of database schemas and manually modifying existing databases. Not only can MySQL Workbench forward and reverse engineer existing databases, but it can also import SQL scripts to build models and export models to DDL scripts that can be run at a later time. MySQL Workbench also enables you to reverse engineer an existing database or packaged application to get better insight into its database design. All SQL code is automatically generated and runs right the first time, which eliminates the normal error-prone process of manually writing complex SQL code. A visual data model can easily be transformed into a physical database on a target MySQL Server with just a few mouse clicks. With the tool, you can retrieve data in seconds and then apply robust filtering and sorting for better data analysis. MySQL Workbench provides capabilities for forward engineering of physical database designs. Design UPDATE Query Design DELETE Query Viewing SQL Data dbForge Query Builder comes with an advanced Data Editor that allows viewing SQL data right in the grid. Model and Schema Validation utilities enforce best practice standards for data modeling, also enforce MySQL-specific physical design standards so no mistakes are made when building new ER diagrams or generating physical MySQL databases. It enables model-driven database design, which is the most efficient methodology for creating valid and well-performing databases, while providing the flexibility to respond to evolving business requirements. It enables data architects to visualize requirements, communicate with stakeholders, and resolve design issues before a major investment of time and resources is made. In this tutorial, you have learned how to create a new view by using the SQL Server CREATE VIEW statement.MySQL Workbench simplifies database design and maintenance, automates time-consuming and error-prone tasks, and improves communication among DBA and developer teams. Year Code language: SQL (Structured Query Language) ( sql ) The following statement returns the contents of the view: SELECT The following statement creates a view named staff_salesthose summaries the sales by staffs and years using the SUM() aggregate function: CREATE VIEW sales.staff_sales ( Here is the output: Creating a view using aggregate functions example The following statement queries data against the sales.daily_sales view: SELECT In this example, we specified the column list for the view explicitly. MySQL Create View Syntax Example Suppose we want to create a view that populates the list of employees. The query is specified after the AS keyword. The select from is the query that generates the View using basetable. To add the customer name column to the sales.daily_sales view, you use the CREATE VIEW OR ALTER as follows: CREATE OR ALTER sales.daily_sales ( The syntax is following: Create View viewname As Select from basetable Here: viewname is the desired name of the View. The following shows the output: Redefining the view example Once the daily_sales view is created, you can query data against the underlying tables using a simple SELECT statement: SELECT The following statement creates a view named daily_sales based on the orders, order_items, and products tables: CREATE VIEW sales.daily_sales We will use the orders, order_items, and products tables from the sample database for the demonstration. In case you want to redefine the view e.g., adding more columns to it or removing some columns from it, you can use the OR ALTER keywords after the CREATE VIEW keywords. If you don’t explicitly specify a list of columns for the view, SQL Server will use the column list derived from the SELECT statement. ![]() The SELECT statement can refer to one or more tables. Second, specify a SELECT statement ( select_statement) that defines the view after the AS keyword.The schema_name is the name of the schema to which the view belongs. First, specify the name of the view after the CREATE VIEW keywords.To create a new view in SQL Server, you use the CREATE VIEW statement as shown below: CREATE VIEW schema_name.view_name Ĭode language: SQL (Structured Query Language) ( sql ) Summary: in this tutorial, you will learn how to use the SQL Server CREATE VIEW statement to create new views. ![]()
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