Class: DatadogAPIClient::V2::DatabricksIntegrationDataflowsRequest

Inherits:
Object
  • Object
show all
Includes:
BaseGenericModel
Defined in:
lib/datadog_api_client/v2/models/databricks_integration_dataflows_request.rb

Overview

Data Datadog collects from Databricks, keyed by dataflow id. Each dataflow turns on a distinct kind of collection: set enabled to start or stop it, and use settings to configure what it collects. Defaults listed on each dataflow apply when the account is created; on update, omitted fields keep their current values. Some dataflows have prerequisites, noted on each; unless one is documented as rejecting the request, it is not verified, so a dataflow enabled without it is stored but collects no data.

Instance Attribute Summary collapse

Method Summary

Methods included from BaseGenericModel

included

Instance Attribute Details

#databricks_cloud_cost_metrics ⇒ Object

Cost data collected from your Databricks system tables. Cloud Cost Management must be enabled for your organization while this dataflow is on; any request that leaves it enabled without that is rejected with a 422 response.



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# File 'lib/datadog_api_client/v2/models/databricks_integration_dataflows_request.rb', line 25

def databricks_cloud_cost_metrics
  @databricks_cloud_cost_metrics
end

#databricks_data_observability_jobs_monitoring ⇒ Object

Data Jobs Monitoring, which collects performance, reliability, and cost data for your Databricks jobs.



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# File 'lib/datadog_api_client/v2/models/databricks_integration_dataflows_request.rb', line 28

def databricks_data_observability_jobs_monitoring
  @databricks_data_observability_jobs_monitoring
end

#databricks_data_observability_quality_monitoring ⇒ Object

Data Observability, which collects lineage and data quality information from your Databricks catalogs so you can explore how data flows and detect, resolve, and prevent quality issues.



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# File 'lib/datadog_api_client/v2/models/databricks_integration_dataflows_request.rb', line 31

def databricks_data_observability_quality_monitoring
  @databricks_data_observability_quality_monitoring
end

#databricks_model_serving_metrics ⇒ Object

Health and usage metrics for your Databricks model serving endpoints. Not supported on accounts that authenticate with private_action_runner; on those accounts this dataflow collects no data.



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# File 'lib/datadog_api_client/v2/models/databricks_integration_dataflows_request.rb', line 34

def databricks_model_serving_metrics
  @databricks_model_serving_metrics
end