回复:RE: Hibench build fail

2015-07-08 Thread luohui20001
Hi Ted and Grace,   Retried with Spark 1.4.0,still failed with same 
phenomenon.here is a log.FYI.   What else details may help?BTW, is 
it a necessary step to run Hibench test for my spark cluster?  I also tried to 
skip building Hibench to execute bin/run-all.sh, but also got errors while 
running.thanks.
  
   




 

Thanksamp;Best regards!
San.Luo

- 原始邮件 -
发件人:Huang, Jie jie.hu...@intel.com
收件人:Ted Yu yuzhih...@gmail.com, ?? luohui20...@sina.com
抄送人:user user@spark.apache.org
主题:RE: Hibench build fail
日期:2015年07月08日 09点20分





Hi Hui,
 
Could you please add more descriptions (about the failure) in HiBench github 
Issues?
 
HiBench works with spark 1.2 and above.

 
Thank you  Best Regards,
Grace
(Huang Jie)
 
From: Ted Yu [mailto:yuzhih...@gmail.com]


Sent: Wednesday, July 8, 2015 12:50 AM

To: 罗辉

Cc: user; Huang, Jie

Subject: Re: Hibench build fail
 

bq. Need I specify my spark version

 


Looks like the build used 1.4.0 SNAPSHOT. Please use 1.4.0 release.


 


Cheers



 

On Mon, Jul 6, 2015 at 11:50 PM, luohui20...@sina.com wrote:

Hi grace,
 recently I am trying Hibench to evaluate my spark cluster, however I got a 
problem in building Hibench, would you help to take a look? thanks.
 It fails at building Sparkbench, and you may check the attched pic for 
more info.
 My spark version :1.3.1,hadoop version :2.7.0 and HiBench version:4.0, 
python 2.6.6. It is reported that failed for spark1.4 and MR1,which I didn't 
install in my cluster.Need I specify my spark version and hadoop version when I 
am running bin/build-all.sh?
 thanks.
 





 

Thanksamp;Best regards!

San.Luo





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Hibench_nohup.out
Description: Binary data

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回复:回复:RE: Hibench build fail

2015-07-08 Thread luohui20001
should I add dependencies for 
spark-core_2.10,spark-yarn_2.10,spark-streaming_2.10, 
org.apache.spark:spark-mllib_2.10,:spark-hive_2.10,:spark-graphx_2.10 in 
pom.xml?if yes, there are 7 pom.xml in HiBench listing below, which one to 
modify? 
[root@spark-study HiBench-master]# find ./ -name pom.xml
./src/nutchindexing/pom.xml
./src/pegasus/pom.xml
./src/sparkbench/pom.xml
./src/mahout/pom.xml
./src/hivebench/pom.xml
./src/pom.xml
./src/autogen/pom.xml




 

Thanksamp;Best regards!
San.Luo

- 原始邮件 -
发件人:luohui20...@sina.com
收件人:jie.huang jie.hu...@intel.com, Ted Yu yuzhih...@gmail.com
抄送人:user user@spark.apache.org
主题:回复:RE: Hibench build fail
日期:2015年07月08日 15点38分

Hi Ted and Grace,   Retried with Spark 1.4.0,still failed with same 
phenomenon.here is a log.FYI.   What else details may help?BTW, is 
it a necessary step to run Hibench test for my spark cluster?  I also tried to 
skip building Hibench to execute bin/run-all.sh, but also got errors while 
running.thanks.
  
   




 

Thanksamp;Best regards!
San.Luo

- 原始邮件 -
发件人:Huang, Jie jie.hu...@intel.com
收件人:Ted Yu yuzhih...@gmail.com, ?? luohui20...@sina.com
抄送人:user user@spark.apache.org
主题:RE: Hibench build fail
日期:2015年07月08日 09点20分





Hi Hui,
 
Could you please add more descriptions (about the failure) in HiBench github 
Issues?
 
HiBench works with spark 1.2 and above.

 
Thank you  Best Regards,
Grace
(Huang Jie)
 
From: Ted Yu [mailto:yuzhih...@gmail.com]


Sent: Wednesday, July 8, 2015 12:50 AM

To: 罗辉

Cc: user; Huang, Jie

Subject: Re: Hibench build fail
 

bq. Need I specify my spark version

 


Looks like the build used 1.4.0 SNAPSHOT. Please use 1.4.0 release.


 


Cheers



 

On Mon, Jul 6, 2015 at 11:50 PM, luohui20...@sina.com wrote:

Hi grace,
 recently I am trying Hibench to evaluate my spark cluster, however I got a 
problem in building Hibench, would you help to take a look? thanks.
 It fails at building Sparkbench, and you may check the attched pic for 
more info.
 My spark version :1.3.1,hadoop version :2.7.0 and HiBench version:4.0, 
python 2.6.6. It is reported that failed for spark1.4 and MR1,which I didn't 
install in my cluster.Need I specify my spark version and hadoop version when I 
am running bin/build-all.sh?
 thanks.
 





 

Thanksamp;Best regards!

San.Luo





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To unsubscribe, e-mail: user-unsubscr...@spark.apache.org

For additional commands, e-mail: user-h...@spark.apache.org