John Joyce

Thank you! Can you confirm this is still an issue? We are investigating on our side.

One easy suggestion is to produce GlossaryTermInfo aspects for ALL the terms in your glossary (including level0, level2_1, level2_2)

Going to close this ticket due to inactivity. Please feel free to reopen for additional support. Thanks John

Hi @jazzblue, Do you mind pasting your emitter snippets? This will help us debug your situation further. Thanks John

@jazzblue One thing I notice immediately is that the entity types are incorrect for the following entities in your code: 1. ML Feature 2. ML Model It seems to be...

For future reference, you can find all "official" DataHub entity type names here: https://github.com/datahub-project/datahub/blob/master/metadata-models/src/main/resources/entity-registry.yml

Yes it does thanks for calling this out. That being said I'm not quite sure why AvroJsonConverter.validate() is failing, since the union explicitly contains a String value. Did you try...

Going to close this due to inactivity. Please reopen if you feel its still relevant!

This appears to be a problem when the tag contains a DataHub entity name at the start. Examples of things that don't work: - tag:test - dataset:test - dataJob:test and...

It may be that the upstream datasets are not created as entities in the Metadata Graph --> We are looking into it.