CODEWITHSUNDEEP
pythonpysparkaws-glueexitaws-glue-spark
Jérémy
Jérémy

Reputation: 1890

End/exit a glue job programmatically

I am using Glue bookmarking to process data. My job is scheduled every day, but can also be launch "manually". Since I use bookmarks, sometimes the Glue job can start without having new data to process, the read dataframe is then empty. In this case, I want to end my job properly because it has nothing to do. I tried:

if df.rdd.isEmpty():
    job.commit()
    sys.exit(0)

However, my job terminate in error with SystemExit: 0.

How to end the job with success?

Upvotes: 3

Views: 7680

Answers (3)

dgrubman
dgrubman

Reputation: 181

if df.rdd.isEmpty():
    raise Exception(f"Procedure failed, stopping Glue job.")

The raise error worked for me and exited, but will result in a "Failed" glue job status. In my case, I wanted it to fail.

Upvotes: 0

jay-dono
jay-dono

Reputation: 81

Just using os._exit() doesn't work in Glue Version 3.0

To exit a job gracefully after some conditions have been met, use:

import os
import sys
.
. # Your Glue Job Code
.
logger.info("Existing job gracefully...") # Or a simple print; print("...")
job.commit() # Only necessary if you are loading data from s3 and you have job bookmarks enabled.
os._exit(0) # Using a 0 status code throws no exception so your job completes with a succeeded status.

But, if you want to exit with an error use:

sys.exit("Error Message...") # this will exit with an error message that will be displayed on the Glue UI -- Run Details --, and the job would have a status of failed.

Upvotes: 8

Jérémy
Jérémy

Reputation: 1890

After some test, I discovered from @Glyph's answer that :

os._exit() terminates immediately at the C level and does not perform any of the normal tear-downs of the interpreter.

Which is exactly what I was looking for. The final solution is:

import os

if df.rdd.isEmpty():
    job.commit()
    os._exit()

Upvotes: 3

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