If you deploy yarn model，you can used yarn logs -applicationId youApplicationId
get yarn logs. You can get logs in details。
Then Looking error info,
===
Name: cen sujun
Mobile: 13067874572
Mail: ce...@lotuseed.com
> 在 2017年2月6日，05:33，Evgenii Morozov
Hi,
I see a lot of exceptions like the following during our machine learning
pipeline calculation. Spark version 2.0.2.
Sometimes it’s just few executors that fails with this message, but the job is
successful.
I’d appreciate any hint you might have.
Thank you.
2017-02-05 07:56:47.022
