īLOB compression - BLOB data can be compressed saving disk space. Also, you can encrypt structure of the database to prevent its opening by other Valentina GUI tools. Row Level Locks - Valentina provides true record-level locks.Įncryption - Keep your customer data safe! Strong 448-bit BlowFish encryption on entire databases, or just some tables and/or fields. If you change the type of a field then Valentina convert data into the new type using natural conversion rules. read more.Īlter Schema Having Records - Valentina allows you to alter the structure of a Table even if it has some records. System Tables - Valentina allows you to have your own SYSTEM Tables. Therefore in a case of failure, your schema and data are not affected. Such field is not stored in the Schema and puts its data into the separate TMP volume. Temporary Fields - Valentina has a unique ability to create an additional temporary field for a disk-based table. Therefore in case of failure, your schema and data are not affected. Temporary Tables - Valentina can create temporary disk-based tables that will be stored on disk but in the separate TMP volume. In-memory Databases and Tables - Valentina supports creating and managing in-memory databases and in-memory temporary tables (while you work with the disk-based database). Actually, Valentina allows you to choose how to keep data of database using 8 modes to split data into few disk files such as schema, data, index, blobs and temporary volumes. It has an internal file system to keep many logical files inside. Single Database File - Valentina database can be stored in a single disk file (volume). You are not limited to a single API or data model: you can easily mix them within your code. Valentina Native API - is the rich set of classes and methods which provides low-level API to features of the engine and allows to execute any database task without SQL at all. Your experience with any technology that utilizes SQL such as ADO will help you to get started. SQL API - Uses a set of classes and methods which provides high-level API to manage database via SQL. High-level functions let you accomplish a lot in a single function call while low-level functions give you advanced, granular control over your application and database.Įasy to Learn The Valentina API, because of its modular well organized object-oriented design, utilizes intuitive, natural class and function names. You get a set of high and low-level capabilities. To save the DataTableWalkthrough project, on the File menu, select Save All.Valentina API provides for practically all supported languages and IDEs few hundreds of methods to control the database engine functionalities. A key icon appears next to the SongID column. To set the primary key, right-click the SongID column, and then click Set Primary Key. A primary key uniquely identifies a specific record in a data table. Repeat this process and add the following columns:Īll data tables should have a primary key. In the Properties window, set the DataType property to System.Int16. Visual Studio adds a file called DataSet1.xsd to the project and opens it in the Dataset Designer.ĭrag a DataTable from the DataSet tab of the Toolbox onto the Dataset Designer.Ī table named DataTable1 is added to the dataset.Ĭlick the title bar of DataTable1 and rename it Music. In the left-hand pane, select Data, then select DataSet in the middle pane. On the Project menu, select Add New Item. The DataTableWalkthrough project is created and added to Solution Explorer. Name the project DataTableWalkthrough, and then choose OK. In the middle pane, select the Windows Forms App project type. In Visual Studio, on the File menu, select New > Project.Įxpand either Visual C# or Visual Basic in the left-hand pane, then select Windows Desktop. For information on creating data tables that include TableAdapters, see Create and configure TableAdapters. This walkthrough explains how to create a DataTable (without a TableAdapter) using the Dataset Designer. Entity Framework provides a more natural way to work with tabular data as object models, and it has a simpler programming interface. NET applications use Entity Framework Core. Although datasets have proven to be a very successful technology, we recommend that new. They are especially useful for applications that enable users to modify data and persist the changes back to the database. NET technologies from the early 2000s that enable applications to work with data in memory while the applications are disconnected from the database.
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