Run Scala/SBT via Databricks Connect from Azure Pipelines

- task: UsePythonVersion@0
  displayName: 'Use Python 3.7'
    versionSpec: 3.7

- script: |
            pip install -U databricks-connect==7.3.8
  displayName: 'Install Databricks Connect'

- script: |
      echo "y
      <port>" | databricks-connect configure      
displayName: 'Configure DBConnect'

# this is important - run dbc get-jar-dir, and set the value back to az pipeline variable
- script: |
      jd=`databricks-connect get-jar-dir`
      echo "##vso[task.setvariable variable=dbcJarDir]$jd"      
  displayName: 'Get DBC Jar Dir'
# important - pass jar dir as env variable to SBT
- task: CmdLine@2
    script: sbt run
    dbcJarDir: '$(dbcJarDir)'

And here is how SBT picks up DBC jar dir:


// ...

// configure Databricks Connect
val dbcJarDir = sys.env.getOrElse("dbcJarDir", "")
unmanagedBase := new

// ...

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Thanks! You can always email me or use contact form for more questions/comments etc.