bigeye-airflow 0.1.18

Bigeye Airflow Library supports Airflow 2.2.2 and offers custom operators for interacting with your your bigeye workspace.

Bigeye Airflow Operators for Airflow Versions 2.x

Operators

Create Metric Operator (bigeye_airflow.oerators.create_metric_operator)

The CreateMetricOperator creates metrics from a list of metric configurations provided to the operator. This operator will fill in reasonable defaults like setting thresholds. It authenticates through an Airflow connection ID and offers the option to run the metrics after those metrics have been created. Please review the link below to understand the structure of the configurations.

Create or Update Metric Swagger

Parameters

1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id to which the metric configurations will be deployed.
3. configuration: List[dict] - A list of metric configurations conforming to the following schema.

   schema_name: str
   table_name: str
   column_name: str
   metric_template_id: uuid.UUID
   metric_name: str
   notifications: List[str]
   thresholds: List[dict]
   filters: List[str]
   group_by: List[str]
   user_defined_metric_name: str
   metric_type: SimpleMetricCategory
   default_check_frequency_hours: int
   update_schedule: str
   delay_at_update: str
   timezone: str
   should_backfill: bool
   lookback_type: str
   lookback_days: int
   window_size: str
   _window_size_seconds
   

4. run_after_upsert: bool - If true it will run the metrics after creation. Defaults to False.

Run Metrics Operator

The RunMetricsOperator will run metrics in Bigeye based on the following:

1. All metrics for a given table, by providing warehouse ID, schema name and table name.
2. Any and all metrics, given a list of metric IDs.

Currently, if a list of metric IDs is provided these will be run instead of metrics provided for warehouse_id, schema_name, table_name.

Parameters

1. connection_id: str - The Airfow connection ID used to store the required Bigeye credential.
2. warehouse_id: int - The Bigeye source/warehouse id for which metrics will be run.
3. schema_name: str - The schema name for which metrics will be run.
4. table_name: str - The table name for which metrics will be run.
5. metric_ids: List[int] - The metric ids to run.