databricks-api | autogenerated API client interface using the databricks-cli | REST library

 by   crflynn Python Version: 0.9.0 License: MIT

kandi X-RAY | databricks-api Summary

kandi X-RAY | databricks-api Summary

databricks-api is a Python library typically used in Web Services, REST applications. databricks-api has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However databricks-api build file is not available. You can install using 'pip install databricks-api' or download it from GitHub, PyPI.

A simplified, autogenerated API client interface using the databricks-cli package
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            kandi-support Support

              databricks-api has a low active ecosystem.
              It has 52 star(s) with 15 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 14 have been closed. On average issues are closed in 68 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of databricks-api is 0.9.0

            kandi-Quality Quality

              databricks-api has no bugs reported.

            kandi-Security Security

              databricks-api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              databricks-api is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              databricks-api releases are available to install and integrate.
              Deployable package is available in PyPI.
              databricks-api has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed databricks-api and discovered the below as its top functions. This is intended to give you an instant insight into databricks-api implemented functionality, and help decide if they suit your requirements.
            • Writes databricks
            • Get all services
            • Convert CamelCase to snake_case
            Get all kandi verified functions for this library.

            databricks-api Key Features

            No Key Features are available at this moment for databricks-api.

            databricks-api Examples and Code Snippets

            How to automatically export dashboard in databricks jobs
            Pythondot img1Lines of Code : 9dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            curl -n -H "Content-Type: application/json" -X GET -d @- https://.cloud.databricks.com/api/2.0/workspace/export <
            curl -n -o example.html "https://.cloud.databricks.com/api/2.0/workspace/export?format=HTML&di
            Log file for Databricks python notebook execution
            Pythondot img2Lines of Code : 14dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            curl -n -H "Content-Type: application/json" -X POST -d @- https:///api/2.0/clusters/create <

            Community Discussions

            QUESTION

            Databricks API 2.0 - create secret scope in powershell using service principal credentials
            Asked 2021-May-12 at 11:43

            I am trying to create a key vault backed secret scope in Azure databricks using a powershell script that runs during Azure DevOps deployment. It works fine when I run locally using my own credentials but I get an error when I try to run it using the service principal credentials.

            The problem I'm having is similar to but not exactly the same as this previous post.

            Here is my script:

            ...

            ANSWER

            Answered 2021-May-12 at 11:43

            You can't execute this operation using the service principal - this is a limitation on the Azure side. The documentation says about this explicitly:

            You need an Azure AD user token to create an Azure Key Vault-backed secret scope with the Databricks CLI. You cannot use an Azure Databricks personal access token or an Azure AD application token that belongs to a service principal.

            P.S. It's a big pain point when automating the provisioning of workspaces, but because it's a problem in Azure, everything that you can do is to escalate to their support, maybe it will be prioritized.

            P.P.S. have you looked onto Databricks Terraform Provider - it may make your life easier compared to Powershell + REST API

            Source https://stackoverflow.com/questions/67502449

            QUESTION

            Unable to install argo workflow cron as a helm chart
            Asked 2021-Feb-08 at 19:02

            I wanted to install an argo workflow template and workflow cron job as a helm chart. helm install command says the chart is installed. But I see only workflow template got deployed and cron job isnt.

            Folder structure:

            ...

            ANSWER

            Answered 2021-Feb-08 at 19:02

            Argo allows you to scale vertically by adding multiple workflow controllers. Each controller gets an "instance ID."

            Your CronWorkflow specifies the fp workflow controller instance.

            Source https://stackoverflow.com/questions/66106562

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install databricks-api

            You can install using 'pip install databricks-api' or download it from GitHub, PyPI.
            You can use databricks-api like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install databricks-api

          • CLONE
          • HTTPS

            https://github.com/crflynn/databricks-api.git

          • CLI

            gh repo clone crflynn/databricks-api

          • sshUrl

            git@github.com:crflynn/databricks-api.git

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