Metadata-Version: 2.4
Name: azure-kusto-ingest
Version: 6.0.3
Summary: Kusto Ingest Client
Keywords: azure,kusto,ingest,data,analytics
Author: Microsoft Corporation
Author-email: Microsoft Corporation <kustalk@microsoft.com>
License-Expression: MIT
Classifier: Programming Language :: Python
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: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: azure-kusto-data
Requires-Dist: azure-storage-blob==12.26.0
Requires-Dist: azure-storage-queue==12.13.0
Requires-Dist: tenacity>=9.1.2
Requires-Dist: pandas>=2.3.1 ; extra == 'pandas'
Requires-Python: >=3.9
Project-URL: Repository, https://github.com/Azure/azure-kusto-python
Provides-Extra: aio
Provides-Extra: pandas
Description-Content-Type: text/x-rst

Microsoft Azure Kusto Ingest Library for Python
===============================================

.. code-block:: python

    from azure.kusto.data import KustoConnectionStringBuilder, DataFormat
    from azure.kusto.ingest import QueuedIngestClient, IngestionProperties, FileDescriptor, BlobDescriptor

    ingestion_props = IngestionProperties(database="{database_name}", table="{table_name}", data_format=DataFormat.CSV)
    client = QueuedIngestClient(KustoConnectionStringBuilder.with_interactive_login("https://ingest-{cluster_name}.kusto.windows.net"))

    file_descriptor = FileDescriptor("{filename}.csv", 15360)  # in this example, the raw (uncompressed) size of the data is 15KB (15360 bytes)
    client.ingest_from_file(file_descriptor, ingestion_properties=ingestion_props)
    client.ingest_from_file("{filename}.csv", ingestion_properties=ingestion_props)

    blob_descriptor = BlobDescriptor("https://{path_to_blob}.csv.gz?sas", 51200)  # in this example, the raw (uncompressed) size of the data is 50KB (52100 bytes)
    client.ingest_from_blob(blob_descriptor, ingestion_properties=ingestion_props)


Overview
--------

*Kusto Python Ingest Client* Library provides the capability to ingest data into Kusto clusters using Python.
It is Python 3.x compatible and supports data types through familiar Python DB API interface.

It's possible to use the library, for instance, from `Jupyter Notebooks <http://jupyter.org/>`_ which are attached to Spark clusters,
including, but not exclusively, `Azure Databricks <https://azure.microsoft.com/en-us/services/databricks>`_ instances.

* `How to install the package <https://github.com/Azure/azure-kusto-python#install>`_.

* `Data ingest sample <https://github.com/Azure/azure-kusto-python/blob/master/azure-kusto-ingest/tests/sample.py>`_.

* `GitHub Repository <https://github.com/Azure/azure-kusto-python/tree/master/azure-kusto-data>`_.
