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Azure Data Explorer table usage statistics.
Attribute | Value |
---|---|
Resource types | microsoft.kusto/clusters |
Categories | - |
Solutions | LogManagement |
Basic log | No |
Ingestion-time transformation | Yes |
Sample Queries | Yes |
Column | Type | Description |
---|---|---|
ApplicationName | string | The name of the application that invoked the command |
_BilledSize | real | The record size in bytes |
CorrelationId | string | The client request ID |
DatabaseName | string | The name of the database |
_IsBillable | string | Specifies whether ingesting the data is billable. When _IsBillable is false ingestion isn't billed to your Azure account |
MaxCreatedOn | datetime | Lastest extent time of the table |
MinCreatedOn | datetime | Oldest extent time of the table |
OperationName | string | The name of this operation |
Principal | string | The principal that invoked the query |
_ResourceId | string | A unique identifier for the resource that the record is associated with |
RootActivityId | string | The root activity ID |
SourceSystem | string | The type of agent the event was collected by. For example, OpsManager for Windows agent, either direct connect or Operations Manager, Linux for all Linux agents, or Azure for Azure Diagnostics |
StartedOn | datetime | Time (UTC) at which table usage statistics operation started |
_SubscriptionId | string | A unique identifier for the subscription that the record is associated with |
TableName | string | The name of the table |
TenantId | string | The Log Analytics workspace ID |
TimeGenerated | datetime | The time (UTC) at which this event was generated |
Type | string | The name of the table |
User | string | The user that invoked the query |
Events
17 Mar, 9 pm - 21 Mar, 10 am
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
Register nowTraining
Module
Write multi-table queries by using Kusto Query Language - Training
Learn how to write Kusto Query Language (KQL) queries to combine and retrieve data from two or more tables by using the `lookup`, `join`, and `union` operators.