Comments (2)
Feast uses the Python3.8/3.9 images as base images. The Python3.10 does not seem to have high Vulnerabilities.
I'll keep an eyeeye on this when we do the upgration. It will involve multiple tests. The current CI/CD is using Python3.8.
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at this point feast should prob drop 3.8 entirely and start phasing out 3.9. see python version calendar.
![image](https://private-user-images.githubusercontent.com/5652308/293784090-52ee8f9c-fd10-46fa-8fdd-6adf94bb7043.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.g0m8ER0s9f-PcL-KaSeW7xaEPLnG7vYAgYw12qZLedk)
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Related Issues (20)
- Add delete_table to redis online store
- Issue with Postgres offlinestore in aws provider HOT 2
- An error occurs when pushing to bigquery with microseconds timestamp fields
- The Future of Feast HOT 14
- The function FileOfflineStore._merge consumes unreasonable RAM when working with feature views without entities
- Rename FileOfflineStore to DaskOfflineStore
- Add `deltalake` backend HOT 8
- CVE vulnerability in pyarrow(11.0.0) used by feast HOT 3
- Getting historical features from a feature view with multiple entity keys took too long
- Timelimit on BigQuery Entity DF Creation Causing Feast Timeout Errors HOT 2
- google.protobuf.message.DecodeError: Error parsing message HOT 3
- Big Query upgraded needed to causing FeastExtrasDependencyImportError HOT 1
- support for redshift super -> feast array types.
- Import error when calling get_feature_view for feature views with SparkSource
- move dependency and virtual env management to poetry HOT 1
- feast-ui routing generates 500 for all non root paths HOT 3
- Feast Java Server unable to pull data from Elasticache Redis HOT 1
- "AttributeError: project" when call registry.list_saved_datasets HOT 3
- Can't import custom offline store HOT 1
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