Skip to main content

Kusto Ingest Client

Project description

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

ingestion_props = IngestionProperties(database="{database_name}", table="{table_name}", dataFormat=DataFormat.csv)
client = KustoIngestClient("https://ingest-{cluster_name}.kusto.windows.net")

file_descriptor = FileDescriptor("{filename}.csv", 3333)  # 3333 is the raw size of the data in 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", 10)  # 10 is the raw size of the data in 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 2.x/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 which are attached to Spark clusters, including, but not exclusively, Azure Databricks instances.

https://travis-ci.org/Azure/azure-kusto-python.svg

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

azure-kusto-ingest-0.0.32.tar.gz (11.1 kB view hashes)

Uploaded Source

Built Distribution

azure_kusto_ingest-0.0.32-py2.py3-none-any.whl (14.8 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page