removed VectorFeatureView and VectorOnlineStore#16
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We have a validation process to validate Feature View. How can we identify the different between a Regular Feature View and Vector Feature view and validate them (https://github.expedia.biz/eg-ai-platform/feature-store-feast-sdk/blob/ca33561f186465cb6524d170b61b709d101977d4/feature_store_feast_sdk/validation/validate.py#L208)?
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there is no difference between feature views that have a vector and those that have not. We are using tags to configure the target collection for creating a vector column and indexes. These tags are checked through the implementation of the Milvus online store and handled there. At the moment the ensure_valid() method in FeatureView only checks if a name was set. |
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| if is_vector: | ||
| dimensions = int(field.tags.get("dimensions", "0")) | ||
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| if dimensions <= 0: |
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should we also check for the upper bound >= 32768 ?
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yes, good idea! I'll add it
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a ticket has been created in the backlog to address validation |
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Signed-off-by: Francisco Javier Arceo <[email protected]>
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# [0.49.0](feast-dev/feast@v0.48.0...v0.49.0) (2025-04-29) ### Bug Fixes * Adding brackets to unit tests ([c46fea3](feast-dev@c46fea3)) * Adding logic back for a step ([2bb240b](feast-dev@2bb240b)) * Adjustment for unit test action ([a6f78ae](feast-dev@a6f78ae)) * Allow get_historical_features with only On Demand Feature View ([feast-dev#5256](feast-dev#5256)) ([0752795](feast-dev@0752795)) * CI adjustment ([3850643](feast-dev@3850643)) * Embed Query configuration breaks when switching between DataFrame and SQL ([feast-dev#5257](feast-dev#5257)) ([32375a5](feast-dev@32375a5)) * Fix for proto issue in utils ([1b291b2](feast-dev@1b291b2)) * Fix milvus online_read ([feast-dev#5233](feast-dev#5233)) ([4b91f26](feast-dev@4b91f26)) * Fix tests ([431d9b8](feast-dev@431d9b8)) * Fixed Permissions object parameter in example ([feast-dev#5259](feast-dev#5259)) ([045c100](feast-dev@045c100)) * Java CI [#12](feast-dev#12) ([d7e44ac](feast-dev@d7e44ac)) * Java PR [#15](feast-dev#15) ([a5da3bb](feast-dev@a5da3bb)) * Java PR [#16](feast-dev#16) ([e0320fe](feast-dev@e0320fe)) * Java PR [#17](feast-dev#17) ([49da810](feast-dev@49da810)) * Materialization logs ([feast-dev#5243](feast-dev#5243)) ([4aa2f49](feast-dev@4aa2f49)) * Moving to custom github action for checking skip tests ([caf312e](feast-dev@caf312e)) * Operator - remove default replicas setting from Feast Deployment ([feast-dev#5294](feast-dev#5294)) ([e416d01](feast-dev@e416d01)) * Patch java pr [#14](feast-dev#14) ([592526c](feast-dev@592526c)) * Patch update for test ([a3e8967](feast-dev@a3e8967)) * Remove conditional from steps ([995307f](feast-dev@995307f)) * Remove misleading HTTP prefix from gRPC endpoints in logs and doc ([feast-dev#5280](feast-dev#5280)) ([0ee3a1e](feast-dev@0ee3a1e)) * removing id ([268ade2](feast-dev@268ade2)) * Renaming workflow file ([5f46279](feast-dev@5f46279)) * Resolve `no pq wrapper` import issue ([feast-dev#5240](feast-dev#5240)) ([d5906f1](feast-dev@d5906f1)) * Update actions to remove check skip tests ([feast-dev#5275](feast-dev#5275)) ([b976f27](feast-dev@b976f27)) * Update docling demo ([446efea](feast-dev@446efea)) * Update java pr [#13](feast-dev#13) ([fda7db7](feast-dev@fda7db7)) * Update java_pr ([fa138f4](feast-dev@fa138f4)) * Update repo_config.py ([6a59815](feast-dev@6a59815)) * Update unit tests workflow ([06486a0](feast-dev@06486a0)) * Updated docs for docling demo ([768e6cc](feast-dev@768e6cc)) * Updating action for unit tests ([0996c28](feast-dev@0996c28)) * Updating github actions to filter at job level ([0a09622](feast-dev@0a09622)) * Updating Java CI ([c7c3a3c](feast-dev@c7c3a3c)) * Updating java pr to skip tests ([e997dd9](feast-dev@e997dd9)) * Updating workflows ([c66bcd2](feast-dev@c66bcd2)) ### Features * Add date_partition_column_format for spark source ([feast-dev#5273](feast-dev#5273)) ([7a61d6f](feast-dev@7a61d6f)) * Add Milvus tutorial with Feast integration ([feast-dev#5292](feast-dev#5292)) ([a1388a5](feast-dev@a1388a5)) * Add pgvector tutorial with PostgreSQL integration ([feast-dev#5290](feast-dev#5290)) ([bb1cbea](feast-dev@bb1cbea)) * Add ReactFlow visualization for Feast registry metadata ([feast-dev#5297](feast-dev#5297)) ([9768970](feast-dev@9768970)) * Add retrieve online documents v2 method into pgvector ([feast-dev#5253](feast-dev#5253)) ([6770ee6](feast-dev@6770ee6)) * Compute Engine Initial Implementation ([feast-dev#5223](feast-dev#5223)) ([64bdafd](feast-dev@64bdafd)) * Enable write node for compute engine ([feast-dev#5287](feast-dev#5287)) ([f9baf97](feast-dev@f9baf97)) * Local compute engine ([feast-dev#5278](feast-dev#5278)) ([8e06dfe](feast-dev@8e06dfe)) * Make transform on writes configurable for ingestion ([feast-dev#5283](feast-dev#5283)) ([ecad170](feast-dev@ecad170)) * Offline store update pull_all_from_table_or_query to make timestampfield optional ([feast-dev#5281](feast-dev#5281)) ([4b94608](feast-dev@4b94608)) * Serialization version 2 deprecation notice ([feast-dev#5248](feast-dev#5248)) ([327d99d](feast-dev@327d99d)) * Vector length definition moved to Feature View from Config ([feast-dev#5289](feast-dev#5289)) ([d8f1c97](feast-dev@d8f1c97))
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What this PR does / why we need it:
eliminates the need for pydantic models for Milvus. Tags will be used from feature view instead of creating a vector feature view.
Which issue(s) this PR fixes:
Fixes #