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Feathr – A scalable, unified data and AI engineering platform for enterprise
Repro steps 1. Login Feathr UI 2. Click logout button 3. Wait till logout complete, if prompted for confirming which account to logout, selected current logged in one. 4. Fresh...
Currently we have configurations in the YAML file to configure whether users use ADLS/WASB/S3 to ingest offline stores etc. However they are not honored (i.e. Feathr will still try to...
Here's the code to repro: For the code below, put in the right value for `DATABRICKS_WORKSPACE_TOKEN_VALUE`. Then run the whole code. ``` from feathr import AvroJsonSchema from feathr import KafKaSource...
As the Registry Service become more complex, we need to have a centralized module to deal with all exceptions that Registry API would raise.
Currently Feathr is using cloud based spark service (Azure synapse/Databricks) as runtime, and adding on-prem spark should be straightforward by adding an additional launcher here: https://github.com/linkedin/feathr/tree/main/feathr_project/feathr/spark_provider
Currently Feathr supports databricks on AWS; however it doesn't support EMR as a spark launcher.
Seems it's not honored per this line: https://github.com/linkedin/feathr/blob/main/src/main/scala/com/linkedin/feathr/offline/generation/SparkIOUtils.scala#L21