Azure Data Explorer (Kusto) using native Kusto Query Language (KQL) for high-performance log and telemetry analytics.
Installation
Required packages: sqlalchemy-kusto
Connection String
kustokql+https://{cluster}.kusto.windows.net/{database}?msi=False&azure_ad_client_id={client_id}&azure_ad_client_secret={client_secret}&azure_ad_tenant_id={tenant_id}| Parameter | Description |
|---|---|
| cluster | Azure Data Explorer cluster name |
| database | Database name |
| client_id | Azure AD application (client) ID |
| client_secret | Azure AD application secret |
| tenant_id | Azure AD tenant ID |
Supported Features
JOINsSubqueriesDynamic SchemaCatalog SupportDynamic CatalogSSH TunnelingQuery CancellationFile UploadUser ImpersonationCost EstimationSQL Validation
Feature Score: 40/201
Time Grains
Common Time Grains:
SECONDMINUTEHOURDAYWEEKMONTHQUARTERYEAR
Extended Time Grains:
FIVE_SECONDSTHIRTY_SECONDSFIVE_MINUTESTEN_MINUTESFIFTEEN_MINUTESTHIRTY_MINUTESHALF_HOURSIX_HOURSWEEK_STARTING_SUNDAYWEEK_STARTING_MONDAYWEEK_ENDING_SATURDAYWEEK_ENDING_SUNDAYQUARTER_YEAR
Extended Aggregate Functions
The base aggregates (SUM, COUNT, AVG, MIN, MAX, COUNT DISTINCT) are supported everywhere; these are opt-in per engine.
MEDIANSTDDEV_SAMPVAR_SAMP