azure-kusto-python | Kusto client libraries for Python | Azure library

 by   Azure Python Version: v4.2.0 License: MIT

kandi X-RAY | azure-kusto-python Summary

kandi X-RAY | azure-kusto-python Summary

azure-kusto-python is a Python library typically used in Cloud, Azure applications. azure-kusto-python has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However azure-kusto-python has 2 bugs. You can install using 'pip install azure-kusto-python' or download it from GitHub, PyPI.

azure-kusto-data Package provides the capability to query Kusto clusters with Python. azure-kusto-ingest Package allows sending data to Kusto service - i.e. ingest data.
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              azure-kusto-python has a low active ecosystem.
              It has 168 star(s) with 98 fork(s). There are 24 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 6 open issues and 150 have been closed. On average issues are closed in 38 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of azure-kusto-python is v4.2.0

            kandi-Quality Quality

              azure-kusto-python has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 91 code smells.

            kandi-Security Security

              azure-kusto-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              azure-kusto-python code analysis shows 0 unresolved vulnerabilities.
              There are 10 security hotspots that need review.

            kandi-License License

              azure-kusto-python 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

              azure-kusto-python releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              azure-kusto-python saves you 1756 person hours of effort in developing the same functionality from scratch.
              It has 7704 lines of code, 680 functions and 70 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed azure-kusto-python and discovered the below as its top functions. This is intended to give you an instant insight into azure-kusto-python implemented functionality, and help decide if they suit your requirements.
            • Pre - ingesting table
            • Alters the batching policy for a given database
            • Alters existing merge table to a given schema
            • Creates a new table
            • Remove n messages from queue
            • Returns a list of Queues
            • Deserialize a queue message
            • Loads configuration file
            • Pop n messages from the queue
            • Ingest data to ingest
            • Creates a new ingestion mapping
            • Performs post insertion query
            • Fetch the token from the device
            • Build a new connection string builder
            • Create a new ingestion from a stream
            • Read bytes into buffer
            • Execute a streaming query
            • Skip tokens from the stream
            • Execute a query
            • Get azure token
            • Ingest results from a Pandas DataFrame
            • Build a connection string builder
            • Build a connection builder
            • Create pypi package
            • Execute a streaming ingest query
            • Ingest a blob from a blob descriptor
            • Build a KustoConnectionString builder
            Get all kandi verified functions for this library.

            azure-kusto-python Key Features

            No Key Features are available at this moment for azure-kusto-python.

            azure-kusto-python Examples and Code Snippets

            No Code Snippets are available at this moment for azure-kusto-python.

            Community Discussions

            Trending Discussions on azure-kusto-python

            QUESTION

            How to execute purge command on Kusto SDK
            Asked 2020-Feb-26 at 18:40

            I'm trying to run purge command for testing purposes using Kusto C# SDK

            I'm executing .show purges as I understand if I can execute this command then I also can execute other purge command

            I've use the connection string with the ingest prefix (as in this answer https://github.com/Azure/azure-kusto-python/issues/165), yet I'm unable to use purge command

            ...

            ANSWER

            Answered 2020-Feb-26 at 18:40

            The operation .show database environment1 purge operations is a command that should be executed on the "engine" cluster, meaning DATAMTE (and not ingest-DATAMTE) in your case.

            In your case, you may find the following command on the "DM" (INGEST-DATAME) more useful: https://docs.microsoft.com/en-us/azure/kusto/concepts/data-purge#track-purge-operation-status

            This command shows purge operation status by specifying the operation Id within the requested time period

            Update answer for updated question: you need to contact Kusto to whitelist your cluster for purge.

            Source https://stackoverflow.com/questions/60337417

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

            Vulnerabilities

            No vulnerabilities reported

            Install azure-kusto-python

            You can install using 'pip install azure-kusto-python' or download it from GitHub, PyPI.
            You can use azure-kusto-python 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.

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