Metadata-Version: 2.1 Name: azure-kusto-data Version: 4.5.1 Summary: Kusto Data Client Home-page: https://github.com/Azure/azure-kusto-python Author: Microsoft Corporation Author-email: kustalk@microsoft.com License: MIT Keywords: kusto wrapper client library Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Developers Classifier: Topic :: Software Development Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: License :: OSI Approved :: MIT License Requires-Dist: python-dateutil >=2.8.0 Requires-Dist: requests >=2.13.0 Requires-Dist: azure-identity <2,>=1.5.0 Requires-Dist: msal <2,>=1.9.0 Requires-Dist: ijson ~=3.1 Requires-Dist: azure-core <2,>=1.11.0 Provides-Extra: aio Requires-Dist: aiohttp <4,>=3.8.0 ; extra == 'aio' Requires-Dist: asgiref <4,>=3.2.3 ; extra == 'aio' Provides-Extra: pandas Requires-Dist: pandas ; extra == 'pandas' Microsoft Azure Kusto Library for Python ======================================== Overview -------- .. code-block:: python from azure.kusto.data import KustoClient, KustoConnectionStringBuilder cluster = "" client_id = "" client_secret = "" authority_id = "" kcsb = KustoConnectionStringBuilder.with_aad_application_key_authentication(cluster, client_id, client_secret, authority_id) # It is a good practice to re-use the KustoClient instance, as it maintains a pool of connections to the Kusto service. # This sample shows how to create a client and close it in the same scope, for demonstration purposes. with KustoClient(kcsb) as client: db = "Samples" query = "StormEvents | take 10" response = client.execute(db, query) for row in response.primary_results[0]: print(row[0], " ", row["EventType"]) *Kusto Python Client* Library provides the capability to query Kusto clusters using Python. It is Python 3.x compatible and supports all data types through familiar Python DB API interface. It's possible to use the library, for instance, from `Jupyter Notebooks `_. which are attached to Spark clusters, including, but not exclusively, `Azure Databricks `_. instances. Async Client ~~~~~~~~~~~~ Kusto now provides an asynchronous client for queries. To use the client, first install the package with the "aio" extra: .. code:: bash pip install azure-kusto-data[aio] The async client uses exact same interface as the regular client, except that it lives in the ``azure.kusto.data.aio`` namespace, and it returns ``Futures`` you will need to ``await`` its .. code:: python from azure.kusto.data import KustoConnectionStringBuilder from azure.kusto.data.aio import KustoClient cluster = "" client_id = "" client_secret = "" authority_id = "" async def sample(): kcsb = KustoConnectionStringBuilder.with_aad_application_key_authentication(cluster, client_id, client_secret, authority_id) async with KustoClient(kcsb) as client: db = "Samples" query = "StormEvents | take 10" response = await client.execute(db, query) for row in response.primary_results[0]: print(row[0], " ", row["EventType"]) Links ~~~~~ * `How to install the package `_. * `Kusto query sample `_. * `GitHub Repository `_.