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Supported logs for Microsoft.Kusto/clusters

The following table lists the types of logs available for the Microsoft.Kusto/clusters resource type.

For a list of supported metrics, see Supported metrics - Microsoft.Kusto/clusters

Category Category display name Log table Supports basic log plan Supports ingestion-time transformation Example queries Costs to export
Command Command ADXCommand

Azure Data Explorer command execution summary.

No Yes No
FailedIngestion Failed ingestion FailedIngestion

Failed ingestion operations logs provide detailed information about failed ingest operations. Logs include data source details, as well as error code and failure status (transient or permanent), that can be used for tracking the process of data source ingestion. Users can identify usage errors (permanent bad requests) and handle retries of transient failures. Ingestion logs are supported for queued ingestion to the ingestion endpoint using SDKs, data connections, and connectors.

No Yes Queries No
IngestionBatching Ingestion batching ADXIngestionBatching

Azure Data Explorer ingestion batching operations. These logs have detailed statistics of batches ready for ingestion (duration, batch size and blobs count).

No No Queries No
Journal Journal ADXJournal

Azure Data Explorer journal (metadata operations).

No Yes Yes
Query Query ADXQuery

Azure Data Explorer query execution summary.

No Yes No
SucceededIngestion Succeeded ingestion SucceededIngestion

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.

No Yes Queries No
TableDetails Table details ADXTableDetails

Azure Data Explorer table details.

No Yes No
TableUsageStatistics Table usage statistics ADXTableUsageStatistics

Azure Data Explorer table usage statistics.

No Yes Queries No