Expected Behavior

Feast should allow users to create feature views with .csv data sources and retrieve features from offline store without any issues.

Current Behavior

Presently, I have a .csv file sitting in S3 bucket and I am able to create a feature view using this .csv file but while fetching the features from offline store getting below error

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https://github.com/4paradigm/OpenMLDB/blob/230f99b9b5744f2663b0253a87a2496c9f5ce96b/java/openmldb-taskmanager/src/main/scala/com/_4paradigm/openmldb/taskmanager/JobInfoManager.scala#L141-L170

pstmt is useless, delete it. And delete statement in finally block.

Pivot missing categories breaks FeatureSet/AggregatedFeatureSet

Summary

When defining a feature set, it's expected that pivot will have all categories and, as a consequence, the resulting Source dataframe will be suitable to be transformed. When a different behavior happens, FeatureSet and AggregatedFeatureSet breaks.

Feature related:

Age: legacy

Feast currently uses the develop tag as the default image for it's services. Swap to a proper tag to ensure it works in the future.

See https://github.com/feast-dev/feast-helm-charts/blob/main/values.yaml