Ayan,
The location of the logging class was moved from Spark 1.6 to Spark 2.0.
Looks like you are trying to run 1.6 code on 2.0, I have ported some code like 
this before and if you have access to the code you can recompile it by changing 
reference to Logging class and directly use the slf4 Logger class, most of the 
code tends to be easily portable.

Following is the release note for Spark 2.0

Removals, Behavior Changes and Deprecations
Removals
The following features have been removed in Spark 2.0:

  *   Bagel
  *   Support for Hadoop 2.1 and earlier
  *   The ability to configure closure serializer
  *   HTTPBroadcast
  *   TTL-based metadata cleaning
  *   Semi-private class org.apache.spark.Logging. We suggest you use slf4j 
directly.
  *   SparkContext.metricsSystem
Thanks,
Mahesh


From: ayan guha [mailto:guha.a...@gmail.com]
Sent: Monday, June 26, 2017 6:26 AM
To: Weiqing Yang
Cc: user
Subject: Re: HDP 2.5 - Python - Spark-On-Hbase

Hi

I am using following:

--packages com.hortonworks:shc:1.0.0-1.6-s_2.10 --repositories 
http://repo.hortonworks.com/content/groups/public/

Is it compatible with Spark 2.X? I would like to use it....

Best
Ayan

On Sat, Jun 24, 2017 at 2:09 AM, Weiqing Yang 
<yangweiqing...@gmail.com<mailto:yangweiqing...@gmail.com>> wrote:
Yes.
What SHC version you were using?
If hitting any issues, you can post them in SHC github issues. There are some 
threads about this.

On Fri, Jun 23, 2017 at 5:46 AM, ayan guha 
<guha.a...@gmail.com<mailto:guha.a...@gmail.com>> wrote:
Hi

Is it possible to use SHC from Hortonworks with pyspark? If so, any working 
code sample available?

Also, I faced an issue while running the samples with Spark 2.0

"Caused by: java.lang.ClassNotFoundException: org.apache.spark.Logging"

Any workaround?

Thanks in advance....

--
Best Regards,
Ayan Guha




--
Best Regards,
Ayan Guha
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