Comments (5)
Vespa is strongly-typed and ignoring fields we don't know could lead to issues. If we accept unknown fields we also gonna see people complaining after feeding 1B documents and figuring out some fields where not spelled correctly :)
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-- please excuse. can someone create few SO tags for vespa so i can take it up there. or point it out if any already exist and just couldn't find.
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Hi @shwetanks,
Thank you for interest in Vespa.ai. There is currently no support for ignoring fields not found in the document schema(s).
We have https://stackoverflow.com/questions/tagged/vespa but no questions yet.
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@jobergum thanks for answering. i'll put it up there and if i can, will raise a PR. might take me some time though to sift through the source and find appropriate handlers.
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you might want to look at the SO tag though. seems unavailable
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Related Issues (20)
- Short form for indexed tensors representing binary data requires "values" HOT 1
- Error when onnx model is fp16 HOT 3
- Generate a sample Vespa JSON payload given a Vespa tensor type
- Vespa CLI option to delete all documents in an application
- What's the difference between Tensor and Vector within other vector databases? HOT 1
- Vespa Deploy fails for application package with model files HOT 3
- Add matched-elements-only support for index fields
- Syntax support for configuring distance-metric within the field
- No 'input' query param when use "vespa query yql=xxx" HOT 4
- Support setting metrics-proxy heap size HOT 3
- All Search Nodes are crashing HOT 4
- Potential Memory Leak Issue in PrometheusModel class HOT 4
- Node coming up with latest deployed application version after being down HOT 5
- Configurable max token length
- Add embedding instruction prompt support for to hf-embedder HOT 1
- NPE while deploying HOT 1
- Cluster Crashes When Distribution Key Is Too High HOT 2
- Error code - ORT_INVALID_PROTOBUF HOT 2
- Vespa content pod created snapshot folder owned by nobody user in a high RAM situation HOT 3
- Add deploy time warning about combining paged attributes with index (hnsw) or fast-search
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