Support has been added to use Grid views for the application/vnd.dataresource+json output MIME type. High Contrast theme is now supported with a number of fixes to object layout in this case.įixed #3680 where outputs sometimes showed a number of, characters incorrectly.įixed #3602 Editor disappears for cells after navigating away from Azure Data Studio. The notebook.enabled user setting has been removed now that the built-in Notebook viewer is stable. Saving files updates to version 4 or higher.
#Azure data studio best extensions code#
If code cells are over 250 lines, a scrollbar is added. Performance fixes for notebooks with a large code length in cells. Launch with the arguments -command= -server=myservername should open a new notebook and connect to this server. Support for launching a new notebook from the command line has been added. The Python dependencies support Spark and Python3 kernels. vsix file, reducing overall extension size. It also no longer includes Python in the.
#Azure data studio best extensions install#
The SQL Server 2019 extension now prompts users to pick an install directory for Python dependencies. We aim to have all key actions launchable by shortcut so let us know what you're missing! 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). 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. Our focus is on making it easy to read notebooks that are shared with you. We have made significant updates to the notebook user interface. Some actions, such as Create External Data over an HDFS file/folder, the SQL Server 2019 extension must be installed. The folder has launch points for actions such as opening a new notebook against the connection, submitting Spark jobs, and working with HDFS. After connecting to a SQL Server Big Data Cluster instance, a new Data Services folder appears in the explorer tree. Support for SQL Server 2019 has been updated. Release Notes (v0.10.2) SQL Server 2019 support Fixed an issue where checking a Database node in the table-mappings didn't result in all tables and views being checked.Fixed an issue where new schemas typed into the table-mapping controls were being lost.Oracle type mappings have been updated to match changes shipped in SQL Server 2019 CTP 2.3.Multiple bug fixes in the External Data wizards:.This extension is no longer required in order to use Notebooks. Jupyter Notebook support, specifically support for the Python3 and Spark kernels, has been moved into Azure Data Studio.Added a refresh button to the first page of the Create External Table from CSV Files wizard.Support for setting the External File Format object's name in the Create External Table from CSV Files wizard.Removed system databases - DWConfiguration, DWDiagnostics, DWQueue - from the databases dropdown.Reliability improvements for the Object-Mapping page.In some cases, these caused the wizard to fail Improved handling of object names with special characters.Performance improvements across the wizard.Support for creating External Table using existing External Data Source.For notebooks, the PySpark and other big data kernels work when connected to the SQL Server master instance in your SQL Server big data cluster.HDFS browsing can be found under the Data Services folder.All functionality previously available from the SQL Server big data cluster connection is now available in the SQL Server connection. The SQL Server big data cluster connection type has been removed in this release.Support for CTP 3.1 data source support.Increased default sample size used for PROSE parsing.Create External Table from CSV Files Wizard:.Fixed a bug with loading existing database scoped credentials on the connection details page.Reduced time taken to load table and column information on the object-mapping page.Improved error handling when loading tables and views on object-mapping page.Added dialog to fill out variables in MongoDB and Teradata virtualization notebooks.Included guided notebooks for virtualization MongoDB and Teradata sources.Extension renamed to Data Virtualization.To install the Data Virtualization extension, visit Extend the functionality of Azure Data Studio. Install the Data Virtualization extension The Data Virtualization extension for Azure Data Studio provides support for the External Table Wizard with ODBC data sources.
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