Expedition ML Failed

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Expedition ML Failed

L2 Linker

Hello!

 

Machine Learning analysis is failing. In GUI, error is "Failed".  In /tmp/error_SecRulesLearn logs I see this error:

org.apache.spark.SparkException: Job aborted due to stage failure: Task 26 in stage 89.0 failed 1 times, most recent failure: Lost task 26.0 in stage 89.0 (TID 6323, localhost, executor driver): java.io.FileNotFoundException: /tmp/blockmgr-9a58c978-4463-4f0c-a09d-e4bcc41c3691/25/temp_shuffle_1ae06377-b4dd-4d10-a389-7e656f2e5fd5 (Too many open files)

 

Did anybody has this error? Please help. 

 

Thank you and regards,

Maja

1 ACCEPTED SOLUTION

Accepted Solutions

L5 Sessionator

Hi,

I have not experienced this issue before.

However, by the description of the error, it seems that the process is having too many files open and the ulimit (going technical here) may have been crossed.

To reduce the number of open files, one thing you could try is to decrease the number of executors. In Spark, which it is what Expedition is using, we could reduce the number of executors by defining the number of CPUs that Expedition is using for Spark.

 

You can find this value in /home/userSpace/environmentParameters.php

Try to see if the number of used CPUs (NumCPUs) could be decreased a little bit.

 

I hope this helps

View solution in original post

2 REPLIES 2

L5 Sessionator

Hi,

I have not experienced this issue before.

However, by the description of the error, it seems that the process is having too many files open and the ulimit (going technical here) may have been crossed.

To reduce the number of open files, one thing you could try is to decrease the number of executors. In Spark, which it is what Expedition is using, we could reduce the number of executors by defining the number of CPUs that Expedition is using for Spark.

 

You can find this value in /home/userSpace/environmentParameters.php

Try to see if the number of used CPUs (NumCPUs) could be decreased a little bit.

 

I hope this helps

L2 Linker

Hello!

 

I decreased number of CPUs from 51 to 40 and now Machine Learning is working. Thank you very much for your help.

 

Regards,

Maja

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