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How I could read the Job id, run id and parameters in python cell?

rammy
Contributor III

I have tried following ways to get job parameters but none of the things are working.

runId='{{run_id}}'
jobId='{{job_id}}'
filepath='{{filepath}}'
print(runId," ",jobId," ",filepath)
r1=dbutils.widgets.get('{{run_id}}')
f1=dbutils.widgets.get('{{filepath}}')
print(r1,f1)

any suggestions to get those parameters is really helpful

5 REPLIES 5

Vivian_Wilfred
Databricks Employee
Databricks Employee

Hi @Ramesh Bathiniโ€‹ , have you tried using dbutils? try this,

%scala

print (dbutils.notebook.getContext().jobId)

print (dbutils.notebook.getContext().currentRunId)

or

%scala

val jobId = sc.getLocalProperty("spark.databricks.job.id")

val runId = sc.getLocalProperty("spark.databricks.job.runId")

print("jobId")

print("runId")

rammy
Contributor III

Thank you @Vivian Wilfredโ€‹  for your response. As you said i could read runId and JobId values but how can i read job parameters?

In above question, filepath is a job parameter that takes file path and that should be able to access inside the notebook. Which library can help me to read that?

Vivian_Wilfred
Databricks Employee
Databricks Employee

@Ramesh Bathiniโ€‹ You mean the notebook file path that the job runs? For notebook file path you can try this:

%scala print(dbutils.notebook.getContext().extraContext("notebook_path"))

dbutils.notebook.getContext() has all the job parameters, You can query the output of this command to get the job details that you are looking for,

Let me know if this helps. Mark the comment as "best answer" to resolve the query. Thanks.

Ajay-Pandey
Esteemed Contributor III

Hi @Ramesh Bathiniโ€‹ you can use below code -

curl "https://centralus.azuredatabricks.net/api/2.0/jobs/runs/list" -X GET -H "Authorization: Bearer dapia08sjflksjs9jfra6a34a"

Ajay Kumar Pandey

rammy
Contributor III

Thanks for your response. I found the solution. The below code gives me all the job parameters

all_args = dbutils.notebook.entry_point.getCurrentBindings()

print(all_args)

Thanks for your support

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