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Succeeded ingestion operations logs provide information about successfully completed ingest operations. Logs include data source details that together with Failed ingestion operations
logs can be used for tracking the process of ingestion of each data source. Ingestion logs are supported for queued ingestion to the ingestion endpoint using SDKs, data connections, and connectors.
Attribute | Value |
---|---|
Resource types | microsoft.kusto/clusters |
Categories | Azure Resources |
Solutions | LogManagement |
Basic log | No |
Ingestion-time transformation | Yes |
Sample Queries | Yes |
Column | Type | Description |
---|---|---|
_BilledSize | real | The record size in bytes |
Database | string | The name of the database holding the target table |
IngestionSourceId | string | A unique identifier representing the ingested source |
IngestionSourcePath | string | The path of the ingestion data sources or the Azure blob storage URI |
_IsBillable | string | Specifies whether ingesting the data is billable. When _IsBillable is false ingestion isn't billed to your Azure account |
OperationId | string | The ingestion's operation ID |
_ResourceId | string | A unique identifier for the resource that the record is associated with |
ResultType | string | The final state of this data ingestion operation |
RootActivityId | string | The ingestion's 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 |
_SubscriptionId | string | A unique identifier for the subscription that the record is associated with |
SucceededOn | datetime | Time at which this ingest operation successfully ended |
Table | string | The name of the target table into which the data is ingested |
TenantId | string | The Log Analytics workspace ID |
TimeGenerated | datetime | |
Type | string | The name of the table |
Events
Mar 17, 9 p.m. - Mar 21, 10 a.m.
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
Register nowTraining
Learning path
Ingest data with Microsoft Fabric - Training
Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.