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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 | Costs to export | Log table | Supports basic log plan | Supports ingestion-time transformation | Example queries |
|---|---|---|---|---|---|
| Command | No | ADXCommand Azure Data Explorer command execution summary. |
No | Yes | |
| Data operation | Yes | ADXDataOperation Azure Data Explorer data operation summary. |
No | No | |
| Failed ingestion | No | 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 |
| Ingestion batching | No | 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 |
| Journal | Yes | ADXJournal Azure Data Explorer journal (metadata operations). |
No | Yes | |
| Query | No | ADXQuery Azure Data Explorer query execution summary. |
No | Yes | |
| Succeeded ingestion | No | SucceededIngestion Succeeded ingestion operations logs provide information about successfully completed ingest operations. Logs include data source details that together with |
No | Yes | Queries |
| Table details | No | ADXTableDetails Azure Data Explorer table details. |
No | Yes | |
| Table usage statistics | No | ADXTableUsageStatistics Azure Data Explorer table usage statistics. |
No | Yes | Queries |
Next Steps
- Learn more about resource logs
- Stream resource logs to Event Hubs
- Change resource log diagnostic settings using the Azure Monitor REST API
- Analyze logs from Azure storage with Log Analytics
- Optimize log queries in Azure Monitor
- Aggregate data in a Log Analytics workspace by using summary rules (Preview)