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Copy file name to clipboardExpand all lines: docs/azure-data-studio/data-virtualization-extension.md
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---
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title: Data Virtualization Extension
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description: Data Virtualization extension for Azure Data Studio
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ms.reviewer: "alayu; sstein"
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ms.reviewer: "alayu, sstein, maghan"
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ms.prod: sql
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ms.technology: azure-data-studio
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ms.topic: conceptual
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To install the Data Virtualization extension, open Azure Data Studio and download it from the Extensions tab. Follow the instructions [here](extensions.md).
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## Changes in release 1.0
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* Extension renamed to Data Virtualization.
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* Create External Table wizard:
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* Included guided notebooks for virtualization MongoDB and Teradata sources.
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* Added dialog to fill out variables in MongoDB and Teradata virtualization notebooks.
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* Included guided notebooks for virtualization MongoDB and Teradata sources.
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* Added dialog to fill out variables in MongoDB and Teradata virtualization notebooks.
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## Changes in release 0.16
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* Create External Table wizard:
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* Improved error handling when loading tables and views on object mapping page.
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## Changes in release 0.15
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* Create External Table wizard:
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* Reduced time taken to load table and column information on the object mapping page.
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* Fixed a bug with loading existing database scoped credentials on the connection details page.
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* Create External Table from CSV Files Wizard:
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* Increased default sample size used for PROSE parsing.
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## Changes in release 0.14.1
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* Support for CTP 3.1 data source support
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## Changes in release 0.12.1
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* Fixed an issue where new schemas typed into the table mapping controls were being lost.
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* Fixed an issue where checking a Database node in the table mappings did not result in all tables and views being checked.
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## Release Notes (v0.10.2)
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### SQL Server 2019 support
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Support for SQL Server 2019 has been updated. After connecting to a SQL Server Big Data Cluster instance, a new _Data Services_ folder appears in the explorer tree. The folder has launch points for actions such as opening a new notebook against the connection, submitting Spark jobs, and working with HDFS. Some actions, such as _Create External Data_ over a HDFS file/folder, the _SQL Server 2019_ extension must be installed.
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### Notebook support
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We have made significant updates to the Notebook user interface in this release. Our focus was on making it easy to read Notebooks that are shared with you. This meant removing all outline boxes around cells unless selected or hovered, adding hover support for easy cell-level actions without need to select a cell, and clarifying execution state by adding execution count, an animated _stop running_ button and more. We also added keyboard shortcuts for _New Notebook_ (`Ctrl+Shift+N`), _Run Cell_ (`F5`), _New Code Cell_ (`Ctrl+Shift+C`), _New Text Cell_ (`Ctrl+Shift+T`). Moving forward we will aim to have all key actions launchable by shortcut so let us know what you're missing!
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Other improvements and fixes include:
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* The _SQL Server 2019_ extension now prompts users to pick an install directory for Python dependencies. It also no longer includes Python in the `.vsix file`, reducing overall extension size. The Python dependencies support Spark and Python3 kernels.
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* Support for launching a new notebook from the command-line has been added. Launch with the arguments `--command=notebook.command.new --server=myservername` should open a new notebook and connect to this server.
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* Performance fixes for notebooks with a large code length in cells. If code cells are over 250 lines, a scrollbar is added.
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Fixed #3959 Azure Data Studio tries to shutdown notebook server twice after closing notebook
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#### Known issues
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* On opening a Notebook the install python dialog will appear. Canceling this install will result in the Kernels and Attach To dropdowns not showing expected values. The workaround is to complete the Python installation.
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* When a notebook is opened with a kernel that is not supported, the kernels and _attach to_ dropdowns will cause Azure Data Studio to stop responding. You will need to close Azure Data Studio and ensure you use a kernel that is supported (Python3, Spark | R, Spark | Scala, PySpark, PySpark3)
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* Spark UI link fails when using PySpark3 or other Spark kernels against the SQL Server endpoint. As a workaround please click on Spark UI from the Dashboard, or connect using the SQL Server big data cluster connection type as this will have the correct Spark UI hyperlink
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### Extensibility improvements
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A number of improvements that help extenders were added in this release
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* A new `ObjectExplorerNodeProvider` API allows extensions to contribute folders under SQL Server or other Connection nodes. This is how the `Data Services` node is added under SQL Server 2019 instances but could be used to add Monitoring or other folders easily to the UI.
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* Two new context key values are available to help show/hide contributions to the dashboard.
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*`mssql:iscluster` indicates if this is a SQL Server 2019 Big Data Cluster
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*`mssql:servermajorversion` has the server version (15 for SQL Server 2019, 14 for SQL Server 2017 and so on). This can help if features should only be shown for SQL Server 2017 or greater, for example.
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## Release Notes (v0.8.0)
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*Notebooks*:
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* Adding cells before / after existing cells is now supported by clicking the "More Actions" cell button
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***Add New Connection** option has been added to the connections in the "Attach To" dropdown
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* A **Reinstall Notebook Dependencies** command has been added to assist with Python package updates, and solve cases where install was halted partway through by closing the application. This can be run from the command palette (use `Ctrl/Cmd+Shift+P` and type `Reinstall Notebook Dependencies`)
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* Tables with invalid column mappings are shown as disabled and a warning explains the error
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## Release Notes (v0.7.2)
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* Azure Resource Explorer is now built into Azure Data Studio and has been removed from this extension. Thank you for your feedback on this!
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* Improved performance of notebooks with many Markdown cells.
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* Auto-size code cells in Notebook. This still has a minimum size based on the cell toolbar.
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