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Databricks Clusters audit logs.
Attribute | Value |
---|---|
Resource types | microsoft.databricks/workspaces |
Categories | Azure Resources |
Solutions | LogManagement |
Basic log | No |
Ingestion-time transformation | Yes |
Sample Queries | - |
Column | Type | Description |
---|---|---|
ActionName | string | The action of the request. |
_BilledSize | real | The record size in bytes |
Category | string | The service that logged the request. |
Identity | string | Information about the user that makes the requests. |
_IsBillable | string | Specifies whether ingesting the data is billable. When _IsBillable is false ingestion isn't billed to your Azure account |
LogId | string | The unique identifier for the log messages. |
OperationName | string | The action, such as login, logout, read, write, etc. |
OperationVersion | string | The schema version of the Databricks operation-based diagnostic log format. |
RequestId | string | Unique request ID. |
RequestParams | string | Parameter key-value pairs used in the event. |
_ResourceId | string | A unique identifier for the resource that the record is associated with |
Response | string | The HTTP response to the request, including error message (if applicable), result, and statusCode. |
ServiceName | string | The service of the source request. |
SessionId | string | Session ID of the action. |
SourceIPAddress | string | The IP address of the source request. |
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 |
TenantId | string | The Log Analytics workspace ID |
TimeGenerated | datetime | The timestamp of the action (UTC). |
Type | string | The name of the table |
UserAgent | string | The browser or API client used to make the request. |
Udalosti
Vytváranie aplikácií a agentov umelej inteligencie
17. 3., 21 - 21. 3., 10
Pripojte sa k sérii meetup a vytvorte škálovateľné riešenia AI na základe prípadov reálneho používania so spolupracovníkmi a odborníkmi.
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