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September 23, 2019 16:15
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from datetime import timedelta | |
import pandas | |
from azure.kusto.data.exceptions import KustoServiceError | |
from azure.kusto.data.helpers import dataframe_from_result_table | |
from azure.kusto.data.request import (ClientRequestProperties, KustoClient, | |
KustoConnectionStringBuilder) | |
from azure.kusto.ingest import (BlobDescriptor, DataFormat, FileDescriptor, | |
IngestionMappingType, IngestionProperties, | |
KustoIngestClient, KustoStreamingIngestClient, | |
ReportLevel, StreamDescriptor) | |
# In case you want to authenticate with AAD application. | |
client_id = "5d32b1b5-881f-41ee-8826-3f3dff8557b8" | |
client_secret = "xxxxxxxxxxx" | |
# read more at https://docs.microsoft.com/en-us/onedrive/find-your-office-365-tenant-id | |
authority_id = "72f988bf-86f1-41af-91ab-2d7cd011db47" | |
clusterIngest = "https://ingest-dataexplorerpr.centralus.kusto.windows.net" | |
kcsbingest = KustoConnectionStringBuilder.with_aad_application_key_authentication( | |
clusterIngest, client_id, client_secret, authority_id | |
) | |
ingestClient = KustoIngestClient(kcsbingest) | |
ingestion_props = IngestionProperties( | |
database="prdatabase", | |
table="TestData", | |
dataFormat=DataFormat.CSV, | |
# in case status update for success are also required | |
# reportLevel=ReportLevel.FailuresAndSuccesses, | |
# in case a mapping is required | |
# ingestionMappingReference="{json_mapping_that_already_exists_on_table}" | |
# ingestionMappingType=IngestionMappingType.Json | |
) | |
fields = ["Name", "Metric", "Source"] | |
rows = [["p1", 23, "SDK"], ["p2", 25, "SDK"]] | |
df = pandas.DataFrame(data=rows, columns=fields) | |
ingestClient.ingest_from_dataframe(df, ingestion_properties=ingestion_props) | |
cluster = "https://dataexplorerpr.centralus.kusto.windows.net" | |
kcsb = KustoConnectionStringBuilder.with_aad_application_key_authentication( | |
cluster, client_id, client_secret, authority_id | |
) | |
client = KustoClient(kcsb) | |
# once authenticated, usage is as following | |
db = "prdatabase" | |
query = "TestData | take 10" | |
response = client.execute(db, query) | |
# we also support dataframes: | |
dataframe = dataframe_from_result_table(response.primary_results[0]) | |
print(dataframe) |
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