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* Add CodeQL Analysis workflow (#10195) * Add CodeQL Analysis workflow * Fix path * updated links * edit line 31 * edit lines 11 and 31 * edit line 11 again Co-authored-by: Justin Hutchings <jhutchings1@users.noreply.github.com>
54 lines
3.1 KiB
Markdown
54 lines
3.1 KiB
Markdown
# Kusto (KQL) extension for Azure Data Studio (Preview)
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Connect and query Azure Data Explorer (Kusto) clusters and databases with Azure Data Studio, a modern data editor available for Linux, MacOS, and Windows. This extension enables you to interact with Kusto using Azure Data Studio features like:
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- Connect to Azure Data Explorer anywhere.
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- Searchable object explorer view for database objects.
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- Query authoring and editing with Intellisense and syntax highlighting.
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- Create a notebook with Kusto.
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- View query results and save to CSV, JSON, XML, Excel, or as a chart.
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For more information, visit the [Kusto (KQL) extension for Azure Data Studio](https://go.microsoft.com/fwlink/?linkid=2143832) documentation.
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## Connect to an Azure Data Explorer cluster
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You can connect to an Azure Data Explorer cluster with Azure Data Studio.
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Select **New Connection** and choose **Kusto** for the **Connection Type**.
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Once connected to a cluster, you can start writing a KQL query, run it and a view the results to save it to CSV, JSON, XML, Excel, or as a chart as shown below.
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## Create notebooks using the Kusto Kernel
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You can run Kusto in a notebook with Azure Data Studio.
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Select on **Create notebook** to create a new notebook in Azure Data Studio.
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For more information, see [Create and run a Kusto (KQL) notebook](https://go.microsoft.com/fwlink/?linkid=2143934).
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## Contributing to the Extension
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This extension lives in the [azuredatastudio repo](https://github.com/microsoft/azuredatastudio) and follows the same guidelines for contribution. If you are interested in fixing issues and contributing directly to the code base, see the document [How to Contribute](https://github.com/Microsoft/azuredatastudio/wiki/How-to-Contribute), which covers the following:
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- [How to build and run from source](https://github.com/Microsoft/azuredatastudio/wiki/How-to-Contribute#Build-and-Run-From-Source)
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- [The development workflow, including debugging and running tests](https://github.com/Microsoft/azuredatastudio/wiki/How-to-Contribute#development-workflow)
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- [Submitting pull requests](https://github.com/Microsoft/azuredatastudio/wiki/How-to-Contribute#pull-requests)
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## Code of Conduct
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
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## Privacy Statement
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The [Microsoft Enterprise and Developer Privacy Statement](https://privacy.microsoft.com/privacystatement) describes the privacy statement of this software.
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## License
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Copyright (c) Microsoft Corporation. All rights reserved.
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Licensed under the [Source EULA](https://raw.githubusercontent.com/Microsoft/azuredatastudio/main/LICENSE.txt).
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