default-scala: align with Serverless environment version 4#152
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The variable feeds an sbt revision specifier of "{{dbr_version}}.+", which becomes
"17.0.+" today. sbt resolves this to the latest 17.0.x client only — customers never
pick up the 17.3.x client that ships on the current Serverless control plane (env
version 4). Bumping to 17.3 lets sbt resolve "17.3.+" and pull the current point
release.
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## Changes Sync cli code with changes in databricks/bundle-examples#152 ## Why <!-- Why are these changes needed? Provide the context that the reviewer might be missing. For example, were there any decisions behind the change that are not reflected in the code itself? --> ## Tests <!-- How have you tested the changes? --> <!-- If your PR needs to be included in the release notes for next release, add a separate entry in NEXT_CHANGELOG.md as part of your PR. --> --------- Co-authored-by: Andrew Nester <andrew.nester.dev@gmail.com>
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Two single-line changes to align
default-scalawith serverless environment version 4. Without these, the template generates a project that targets a different runtime version than what the bundle deploys to.Changes
1.
dbr_version: 17.0 → 17.3 (library/template_variables.tmpl)The variable feeds an sbt revision specifier of
"{{dbr_version}}.+", which becomes"17.0.+"today. sbt resolves this to the latest 17.0.xdatabricks-connectclient only — customers never pick up the 17.3.x client that ships on the current Serverless control plane (env v4).2.
environment_version:"4-scala-preview"→"4"(resources/{{.project_name}}.job.yml.tmpl)default-scalais the only bundle in this repo still on the transitional4-scala-previewvalue. Every other template (lakeflow_pipelines_python,dbt_sql,lakeflow_pipelines_sql, the ingestion monitoring notebooks,pydabs) uses plain"4", which is the canonical env v4 identifier now that Scala/Java JAR support has landed.