Comments (1)
This should be solved with the changes on 2.0-init, as from now on we will just call Carol() with no parameters as the standard (we still can send the parameters if needed), and it will automatically read from the app.settings or the environment variables
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Related Issues (20)
- Integrate pyCarol to CDS SQL HOT 2
- show error when querying unexistent data model HOT 2
- Send data sync is not repecting the user step_size HOT 1
- Allow Query to accept endpoints other than named_query or queries/filter HOT 1
- Access to GCS should have retry policy. HOT 1
- google-cloud-bigquery comes with outdated version on google colab
- dataset id should not be required in the query
- typo on setup.py is breaking install of complete flavour
- Implement service account handling HOT 1
- SQL: Dataframe option not working properly HOT 1
- SQL: Default path for tables in BQ is wrong HOT 2
- query BQ with paging HOT 5
- Error during Storage instance (self.carol) HOT 2
- Bigquery: name 'pandas' is not defined HOT 2
- ImportError: cannot import name 'bigquery_storage' from 'google.cloud' HOT 2
- Error during sending staging table to Carol HOT 5
- Pandas and NumPy compatibility issues HOT 3
- call_api failing because of changes in class urllib3.util.Retry HOT 1
- Teste HOT 2
- Compatibility break after Requests and urllib3 was implicit upgraded HOT 4
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