Thank you.

From: Artemis User [mailto:arte...@dtechspace.com]
Sent: Monday, February 21, 2022 8:23 AM
To: Michael Williams (SSI) <michael.willi...@ssigroup.com>
Subject: Re: Logging to determine why driver fails

Spark uses Log4j for logging.  There is a log4j properties template file 
located in the conf directory.  You can use that as a reference to turn on 
logging.  More info on log4j can be found on the logging.apache.org web site.
On 2/21/22 9:15 AM, Michael Williams (SSI) wrote:
Hello,

We have a POC using Spark 3.2.1 and none of us have any prior Spark experience. 
 Our setup uses the native Spark REST api 
(http://localhost:6066/v1/submissions/create<https://urldefense.com/v3/__http:/localhost:6066/v1/submissions/create__;!!IPetXT4!mXmSW0hs56znHriM4Qq8mNLNRsSPaoWREmeTXvUcE4wpIQWJTbnRu5YIwSVU2ma_AztAfDI$>)
 on the master node (not Livy, not Spark Job server).  While we have been 
successful at submitting python jobs via this endpoint, when we implemented 
.NET for Spark and have been attempting to trigger those jobs using the api, 
the driver (on the worker) simply reports failed, but there aren’t any log 
files created because it is failing before the application starts.

Is there a logging configuration that can be made that might increase the 
logging detail on the worker for internal Spark processes and possibly tell us 
specifically the error occurring?

Thank you,
Mike


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