34 строки
1.9 KiB
ReStructuredText
34 строки
1.9 KiB
ReStructuredText
Microsoft Azure Kusto Ingest Library for Python
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===============================================
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.. code-block:: python
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from azure.kusto.data import KustoConnectionStringBuilder, DataFormat
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from azure.kusto.ingest import QueuedIngestClient, IngestionProperties, FileDescriptor, BlobDescriptor
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ingestion_props = IngestionProperties(database="{database_name}", table="{table_name}", data_format=DataFormat.CSV)
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client = QueuedIngestClient(KustoConnectionStringBuilder.with_interactive_login("https://ingest-{cluster_name}.kusto.windows.net"))
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file_descriptor = FileDescriptor("{filename}.csv", 15360) # in this example, the raw (uncompressed) size of the data is 15KB (15360 bytes)
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client.ingest_from_file(file_descriptor, ingestion_properties=ingestion_props)
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client.ingest_from_file("{filename}.csv", ingestion_properties=ingestion_props)
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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)
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client.ingest_from_blob(blob_descriptor, ingestion_properties=ingestion_props)
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Overview
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--------
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*Kusto Python Ingest Client* Library provides the capability to ingest data into Kusto clusters using Python.
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It is Python 3.x compatible and supports data types through familiar Python DB API interface.
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It's possible to use the library, for instance, from `Jupyter Notebooks <http://jupyter.org/>`_ which are attached to Spark clusters,
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including, but not exclusively, `Azure Databricks <https://azure.microsoft.com/en-us/services/databricks>`_ instances.
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* `How to install the package <https://github.com/Azure/azure-kusto-python#install>`_.
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* `Data ingest sample <https://github.com/Azure/azure-kusto-python/blob/master/azure-kusto-ingest/tests/sample.py>`_.
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* `GitHub Repository <https://github.com/Azure/azure-kusto-python/tree/master/azure-kusto-data>`_.
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