Comments (2)
I think that feels like a great approach. I could also imagine including a separate schema_name
parameter to allow specification at the operator level.
from airflow-provider-great-expectations.
I think the easiest solution here would be to include parsing of data_asset_name
when a conn_id
is passed in to see if a database or schema is included with the table. Then connections without specified schemas (or ones in which the user wants to overwrite them) can be used.
@talagluck @kaxil any thoughts on this?
from airflow-provider-great-expectations.
Related Issues (20)
- Snowflake Region should be optional
- Add Trino support HOT 1
- GreatExpectationsOperator is overriding database name with schema HOT 2
- Feature Request: pass parameters from Airflow to GE Checkpoint
- Feature Request: run EXPERIMENTAL expectation (from great_expectations_experimental library) from Airflow? HOT 1
- Parsing data_asset_name should account for fully qualified table name.
- How to pass create_temp_table: False to SqlAlchemy? HOT 3
- Test failure due to `apache-airflow-providers-snowflake` 4.3.1
- Passing value_set through Evaluation Parameters crashes if list size is more than 100
- Operator won't work in 0.2.1 HOT 2
- data_asset_name is not recognized in airflow-provider-great-expectations==0.2.0 HOT 18
- Discussion: Version Release Dates
- Feature request: Add templating for attribute dataframe_to_validate. HOT 1
- Snowflake connection failure when only using the Airflow UI fields to set the connection HOT 1
- Issue in connecting the GX operator with Snowflake data HOT 12
- collision with another protobuf version HOT 7
- add support for Athena (aws_default) airflow connection HOT 7
- GreatExpectationsOperator ignoring schema from connection HOT 1
- Add schema to template fields
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from airflow-provider-great-expectations.