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  1. Red Hat OpenShift Data Science
  2. RHODS-8865

AWS_S3_BUCKET is a required parameter in Data connections

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    • RHODS_1.27.0_GA
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      == A pipeline server fails to start unless you specify an Amazon Web Services (AWS) Simple Storage Service (S3) bucket resource
      When you create a data connection for a data science project, the *AWS_S3_BUCKET* field is not designated as a mandatory field. However, if you do not specify a value for this field, and you attempt to configure a pipeline server, the pipeline server fails to start successfully.
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      == A pipeline server fails to start unless you specify an Amazon Web Services (AWS) Simple Storage Service (S3) bucket resource When you create a data connection for a data science project, the *AWS_S3_BUCKET* field is not designated as a mandatory field. However, if you do not specify a value for this field, and you attempt to configure a pipeline server, the pipeline server fails to start successfully.
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      Description of problem:

      AWS_S3_BUCKET is a required parameter in Data connections
       

      Prerequisites (if any, like setup, operators/versions):

      Steps to Reproduce

      1. Create a Data science projects
      2. Fill only the required fields

      Actual results:

       F0523 13:40:40.964590 1 client_manager.go:411] Failed to check if Minio bucket exists. Error: Bucket name cannot be empty
      

      Expected results:

      Failed to save with an error to fill AWS_S3_BUCKET

      Reproducibility (Always/Intermittent/Only Once):

      Always

      Build Details:

      OpenShift Pipelines: 1.10.2
      ODS: 1.27.0

      Workaround:

      Fill AWS_S3_BUCKET

      Additional info:

              Unassigned Unassigned
              dlovison@redhat.com Diego Lovison
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                Created:
                Updated:
                Resolved: