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azure_kusto_queued_ingest_from_local_csv_file.py

python

This quickstart demonstrates how to ingest data into Azure Data Explo

15d ago44 lineslearn.microsoft.com
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azure_kusto_queued_ingest_from_local_csv_file.py
1from azure.kusto.data import KustoConnectionStringBuilder
2from azure.kusto.ingest import (
3    KustoIngestClient,
4    IngestionProperties,
5    FileDescriptor,
6    BlobDescriptor,
7    DataFormat,
8    ReportLevel,
9    ReportMethod,
10)
11
12# 1. Create a connection string to the Ingestion service (Note the "ingest-" prefix)
13# Replace <cluster_uri> with your cluster URI (e.g., https://ingest-mycluster.westus.kusto.windows.net)
14# Replace <tenant_id>, <client_id>, and <client_secret> with your Azure AD app registration details
15cluster_ingest_uri = "https://ingest-<cluster_name>.<region>.kusto.windows.net"
16kcsb = KustoConnectionStringBuilder.with_aad_application_key_authentication(
17    cluster_ingest_uri,
18    "your-client-id",
19    "your-client-secret",
20    "your-tenant-id"
21)
22
23# 2. Create the Ingest Client
24client = KustoIngestClient(kcsb)
25
26# 3. Define ingestion properties
27# Replace 'YourDatabase' and 'YourTable' with your actual target database and table names
28ingestion_props = IngestionProperties(
29    database="YourDatabase",
30    table="YourTable",
31    data_format=DataFormat.CSV,
32    report_level=ReportLevel.FailuresAndSuccesses,
33    report_method=ReportMethod.Queue,
34)
35
36# 4. Ingest from a local file
37file_path = "data.csv"
38file_descriptor = FileDescriptor(file_path, size=0)  # Size 0 means the SDK will calculate it
39
40try:
41    client.ingest_from_file(file_descriptor, ingestion_properties=ingestion_props)
42    print("Ingestion queued successfully.")
43except Exception as e:
44    print(f"Error occurred during ingestion: {e}")