By default SQL Server will store all your database objects, system objects, tables, stored procedures, etc… into the primary file group. This basically is putting everything into a single data file (.mdf) and transaction log (.ldf). This should be pretty sufficient in development environment. But in production environment the default setting could causing performance limitation. To achieve higher throughput we can design the database to work with multiple files and filegroups.
The database index helps to improve the performance on data retrieval on the database tables. The index allows database engine locate the required data without having to search in every record in the database table. When defining index for tables in Visual Paradigm, by default the index name will be automatically generated according to a predefined pattern and it is not editable by user.
The calculated column in database (also call generated column in some databases) allow users to define an expression for calculating values by using data from other columns. This saving user effort to obtain the values in desired form by let the DBMS handling it. In Visual Paradigm you can define the expression for calculated column by using the User Type. To create calculated column: Read more
Visual Paradigm support wide range of databases for user to model the data structure of their systems. Once the data model is done you can generate persistent layer source code in Hibernate and use it as the out-of-the-box data access layer for building your database applications. All the data types which covered by Hibernate are directly supported by Visual Paradigm. But what if your model involved some domain specific data type which not covered by Hibernate? In this case you can make use of the User Type property to model it. To model with non-supported column types:
You may receive error complain fail to download JDBC driver when configuring database connection for your Visual Paradigm project.
The database modeling tool in Visual Paradigm allow user to design and model database with Entity Relationship Diagram (ERD). Besides modeling of database, you can also generate Database Definition Language (DDL) from your ERD. Unless you would like to generate DDL for altering the database, otherwise it is not necessary to setup connection with your database in order to generate DDL. You can simply pick the default database for your project, and let VP generate the database creation statement for you. Read more
Visual Paradigm’s Open API is a powerful tool which allow user to extend the functionalities of Visual Paradigm software. With Open API you can generate DDL from ER models in your project. The generation of DDL include 4 major steps and this article will explain to you in details. To generate DDL with Open API:
In relational database, records are identified by a unique value. We call this value the primary key. Some databases allow to control how this unique value is being generated by defining the sequence. In this article, we will show you how to model the sequence with Visual Paradigm and use as the ID Generator for your database tables.
The reverse database tool of VP-UML provides a handy approach to instantly convert a relational database into an ERD, to aid in the studying of database structure, entities properties and their inter-relationships.
Being able to study a database with an ERD is great because ERD is so easy to read and understand. However, the relationships among entities may increase the complexity of diagram when there are many entities and are highly coupled. If you just want to focus on seeing the database tables and their columns, but not pretty much interested in their inter-relationship, you can optionally form an ERD database diagram with solely entities, without including their relationships. In this article, you will see how to form an ERD from a MS SQL database, with just entities showing in the diagram. You will also learn how to optionally show the relationships.
When a development team is developing a system that requires accessing a database, it is a common practice to setup local databases on each of the development environment and populate them with all the required schema of the system so that developers can develop and test the function they implement with test data in their own database, rather than working with actual data with production database.