Thanks. In general, we can see a stable trend in Spark master branch and latest release.
And we are also considering to add more benchmarks/workloads into this automation perf tool. Any comment and feedback is warmly welcomed. Thank you && Best Regards, Grace （Huang Jie) From: Nan Zhu [mailto:zhunanmcg...@gmail.com] Sent: Friday, June 26, 2015 8:21 PM To: Huang, Jie Cc: u...@spark.apache.org; dev@spark.apache.org Subject: Re: [SparkScore]Performance portal for Apache Spark - WW26 Thank you, Jie! Very nice work! -- Nan Zhu http://codingcat.me On Friday, June 26, 2015 at 8:17 AM, Huang, Jie wrote: Correct. Your calculation is right! We have been aware of that kmeans performance drop also. According to our observation, it is caused by some unbalanced executions among different tasks. Even we used the same test data between different versions (i.e., not caused by the data skew). And the corresponding run time information has been shared with Xiangrui. Now he is also helping to identify the root cause altogether. Thank you && Best Regards, Grace （Huang Jie) From: Nan Zhu [mailto:zhunanmcg...@gmail.com] Sent: Friday, June 26, 2015 7:59 PM To: Huang, Jie Cc: u...@spark.apache.org<mailto:u...@spark.apache.org>; dev@spark.apache.org<mailto:dev@spark.apache.org> Subject: Re: [SparkScore]Performance portal for Apache Spark - WW26 Hi, Jie, Thank you very much for this work! Very helpful! I just would like to confirm that I understand the numbers correctly: if we take the running time of 1.2 release as 100s 9.1% - means the running time is 109.1 s? -4% - means it comes 96s? If that’s the true meaning of the numbers, what happened to k-means in HiBench? Best, -- Nan Zhu http://codingcat.me On Friday, June 26, 2015 at 7:24 AM, Huang, Jie wrote: Intel® Xeon® CPU E5-2697
