azure-kusto-ingest-刪除攝取客戶端-Microsoft Corporation Overview

azure-kusto-ingest-刪除攝取客戶端-Microsoft Corporation

發佈:2020-12-22 19:12:29.162873

做者:Microsoft Corporation

### 做者郵箱:kustalk@microsoft.com

### 首頁:https://github.com/Azure/azure-kusto-python

### 文檔:None

### 下載連接

Microsoft Azure Kusto Ingest Library for Python

.. code-block:: python

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

ingestion_props = IngestionProperties(database="{database_name}", table="{table_name}", data_format=DataFormat.CSV)
client = KustoIngestClient("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>_.

  Copy from pypi.org

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