The script is also updated to indicate that this table is a node table.Įdge tables, on the other hand, are used to show the relationships between node tables. When a table is indicated as a node, the engine automatically assigns an ID to that table (as seen in the UI as “$node_id”) as this becomes the unique identifier to this table. The image below shows a graph node table in the Table Designer. In the table below, node tables are represented by a single dot, while edge tables are depicted by two dots with a line in between connecting them. Azure Data Studio brings a newly improved visualization to differentiate node and edge tables. Node or edge tables can be created under any schema in the database, but they all belong to one logical graph. Graph tables provide an easier way to create relationships between different datasets using nodes and edge tables. Graph tables have been available since SQL Server 2017 and can now be designed in Azure Data Studio. For more information, take a look at our documentation on system versioned tables. The table below shows all these changes relative to the time frame they existed.
#Azure database series#
In the original Department table, a series of changes were made. A separate historical table, “dbo.MSS…” is automatically created to track all changes made to this table. In the table above, we have a system version enabled table named “Department”. System versioned tables follow the same schema as the original tables from which they were generated. When system versioning is enabled during table creation, the engine automatically creates a separate version of that table. Time travel also makes data recovery possible as all changes made to data are tracked in the system-versioned tables, making it easier to revert to the values which existed at the exact time the data was lost. You guessed it, time travel! System versioning makes it easy to perform “time travel” to see the history of all modifications made to data, which makes tracking changes and data auditing more feasible.
All data in Temporal Tables exists in direct relation to the time the data was created, updated, or deleted. System versioned tables, also known as Temporal Tables, can now be created in Azure Data Studio, and these tables provide historical information about column data at any given point in time. Azure Data Studio now offers system versioning, graph tables, and Memory-Optimized Tables. New Table Designer featuresīased on user feedback, we have made available more table attributes with advanced features.
Even more exciting is that there is now the ability to use multiple languages in the same Interactive notebook and share variables between those languages using SQL Integration. This multi-language experience enables users to use the best language for the task at hand. NET Interactive Notebooks extension in Azure Data Studio now provides support for additional languages such as C#, F#, and PowerShell. To learn more, take a look at our Tech Community blog. This is as simple as migrating your database using the Azure SQL extention and tracking progress and health of these migrations directly on the Azure portal. With this extension, you can view and monitor the details of your database migrations. See below for a snapshot UI of this extension.
The migration experience is powered by the Azure Database Migration Service which provides a scalable, resilient, and secure way to meet the needs of your organization. With this extension, users can get right-sized Azure recommendations based on performance data collected from your source SQL Server databases to optimize for cost and scale. Among many other capabilities, this extension can be used for migrating SQL Server databases to Azure for an enhanced user experience. We are excited to announce the general availability of the Azure SQL Migration extension for Azure Data Studio. Announcing general availability for the Azure SQL migration extension in Azure Data Studio These updates include the general availability of the Azure SQL Migration Extension, the introduction of advanced features to the Table Designer feature that was initially released in February, some updates to notebooks, Query Plan Viewer, SQL Projects, and Schema Compare. It is that time again! We are excited to bring new and exciting updates to Azure Data Studio.