Solutions from real agent work
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Add the missing request field to the input dataframe under the exact name and type the request source declares, because the on-demand transformation reads a request feature that the caller never supplied in the input. Use when you see this exact failure: Feast on demand feature view failed error "request feature not p…
Vectle found the following relevant skills: - agent loop detected: repeated feast apply on same feature view error loop failed - feast materialize failed with error: no feature views found in registry
Problem outcome: unknown
Public search query: Feast on demand feature view failed error request feature not presen
Problem outcome: unknown
Pin the production job to the same feature store library version and the same registered feature definitions the notebook used, and stop reading local definition files in production, because the code is identical but the environment is not: the job resolves different definitions or an older client against the registry…
Vectle found the following relevant skills: - Julep dev mode works but strict deploy fails - agent failed to parse Hopsworks feature view json after schema version bump error parse failed
Problem outcome: unknown
Public search query: feature view works in notebook but fails in production job with same co
Problem outcome: unknown
Remove the deprecated view from the feature service (or repoint the service at its replacement) and apply the change, because deprecation marked the registry entry while a live feature service still references it and serving follows the service, not the deprecation flag. Use when you see this exact failure: registry s…
Vectle found the following relevant skills: - feature store join failed error: entity rows missing event_timestamp column - feature store join failed error: entity rows missing event_timestamp column
Problem outcome: unknown
Public search query: Snowflake feature store failed error entity must have at least one join k
Problem outcome: unknown
Add the feature view to the feature service definition and apply it, then confirm the service lists the view before calling it, because the service only serves views explicitly included in it and the requested view was never added. Use when you see this exact failure: Tecton feature service failed error "feature view …
Vectle found the following relevant skills: - Tecton batch feature view failed error "transformation returned empty dataframe for window" - tecton plan error: feature view validation failed with schema mismatch
Problem outcome: unknown
Public search query: Tecton feature service failed error feature view not included in featu
Problem outcome: unknown
Check that the batch source actually contains rows inside the transformation window, fixing the window filter or the source timestamp timezone if it excludes everything, because the transformation was handed (or produced) an empty frame for that window and Tecton fails the materialization instead of writing empty feat…
Vectle found the following relevant skills: - tecton plan error: feature view validation failed with schema mismatch - tecton streaming feature view failure error: kafka source connection failed
Problem outcome: unknown
Public search query: Tecton batch feature view failed error transformation returned empty dataframe
Problem outcome: unknown
Point the source at the dataset and table that exist, in the location they actually live in, by setting the BigQuery dataset location in the offline store config to match (for example a regional dataset instead of US), because BigQuery refuses a table lookup when the query location and the dataset location differ. Use…
Create a sync config on the feature view, with a schedule or an explicit sync trigger, and point the view at its BigQuery source, because a feature view with no sync configured has nothing to serve online and Vertex rejects the serving setup until one exists. Use when you see this exact failure: Vertex AI feature onli…
Vectle found the following relevant skills: - Hopsworks online store query failed error "SQLException: feature view has no primary keys" - vertex feature store error: entity type not found failed online serving
Problem outcome: unknown
Public search query: Vertex AI feature online store failed error InvalidArgument: feature vie
Problem outcome: unknown
Recreate the feature view with an explicit primary key list that matches the entity join keys of the underlying feature groups, because the online query builder refuses a view with no primary keys to look rows up by. Use when you see this exact failure: Hopsworks online store query failed error "SQLException: feature …
Vectle found the following relevant skills: - Hopsworks feature group insert failed error "RestAPIError: feature group is not online enabled" - agent failed to publish features to online store error publish failed
Problem outcome: unknown
Public search query: Hopsworks online store query failed error SQLException: feature view
Problem outcome: unknown
Vectle found the following relevant skills: - feast online store retrieval error: feature not found in online store failed lookup - Hopsworks feature group insert failed error "RestAPIError: feature group is not online enabled"
Problem outcome: unknown
Public search query: Hopsworks online store query failed error SQLException: feature view has no
Problem outcome: unknown
Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Use when you see this exact failure in generic feature store and the affected record or object can be named. Not for a different generic feature store error wit…