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I want to be able to denote the type of run from a predetermined list of values that a user can choose from when kicking off a run using different parameters. Our team does standardized job runs on a weekly cadence but can have timeframes that change...
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I'm looking to this too. Wonder if there a way to make as a drop down for a job parameter
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We are having Databricks Job running with main class and JAR file in it. Our JAR file code base is in Scala. Now, when our job starts running, we need to log Job ID and Run ID into the database for future purpose. How can we achieve this?
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That article is for members only, can we also specify here how to do it (for those that are not medium members?). Thanks!
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I have a Job Workflow with multiple sequential tasks executing R or Python scripts. Currently, we can skip one of these tasks (if it has already been run) by passing a parameter and skipping via the script. This requires a full spin up of a compute r...
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Hi @Dave Wilson Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Thanks...
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I have a databricks workflow where the first task is to set up task parameters for other notebooks to use later in the process. Since these are variables that are used in all of my notebooks, I have opted to assign them in a shared notebook and call ...
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Hi, Please refer: https://docs.databricks.com/notebooks/notebook-workflows.htmlCould you please provide the error received?
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by
ACK
• New Contributor II
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Hi,I have a method named main it takes **kwargs as a parameter. def main(**kwargs):
parameterOne = kwargs["param-one"]
parameterTwo = kwargs["param-two"]
parameterThree = kwargs["param-optional-one"] if "param-optional-one" in kwargs else...
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it is command-line parameters so it is like ---param-one=testyou can test it with ArgumentParserfrom argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("--param-one", dest="parameterOne")
args = parser.parse_args()
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