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Query and Ingestion Client for Azure using Python

Project description

Install the package using git

pip install kustopy

QueryClient

Import the query client from kustopy

from kustopy import KustoPyClient as kpc

Then set up the client

client_id = dbutils.secrets.get(scope="ce5", key="adxClientId")
client_secret = dbutils.secrets.get(scope="ce5", key="adxClientSecret")
tenant_id = dbutils.secrets.get(scope="ce5", key="adxTenantId")

query_client = kpc.QueryClient(cluster='https://sample.kusto.windows.net/',
                               database='confidential-satanalytics-sample',
                               client_id=client_id,
                               client_secret=client_secret,
                               tenant_id=tenant_id,
                               truncation=False)

We can now get a dataframe of all tables in the database

query_client.get_table_names()

and use specific queries to get data from a table to a dataframe

query_client.query_to_df('SampleTable | take 100 | where fruit=="apple"')

IngestionClient

following...

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