Remove redundant base_parameters from Vector Search example jobs#159
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Job-level parameters are automatically pushed down to notebook tasks and read via dbutils.widgets.get(), and job parameters take precedence over same-key task parameters anyway, so mirroring them through base_parameters had no effect. Follow-up to review feedback on #153.
pietern
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Jun 12, 2026
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I recommend to omit base_parameters entirely, if you don't know about them, you don't have to at all.
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Follow-up to review feedback on #153: job-level
parametersare automatically pushed down to notebook tasks, so thebase_parametersblocks that mirrored them 1:1 via{{job.parameters.x}}were redundant.Confirmed against the docs (Parameterize jobs, Access parameter values from a task):
dbutils.widgets.get()— which is exactly how01_upsert_products.pyand02_query_demo.pyalready read them.base_parameterscould never take effect anyway; removing them is behavior-preserving.databricks bundle validatepasses for both targets against a real workspace (dev and prod, host placeholder swapped locally for validation only).This pull request and its description were generated with Claude Code.