RE: [SparkScore]Performance portal for Apache Spark - WW26

2015-06-26 Thread Huang, Jie
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 A

Re: [SparkScore]Performance portal for Apache Spark - WW26

2015-06-26 Thread Nan Zhu
o: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

RE: [SparkScore]Performance portal for Apache Spark - WW26

2015-06-26 Thread Huang, Jie
ache.org; 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

Re: [SparkScore]Performance portal for Apache Spark - WW26

2015-06-26 Thread Nan Zhu
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, w

RE: [SparkScore] Performance portal for Apache Spark

2015-06-17 Thread Duan, Jiangang
We are looking for more workloads – if you guys have any suggestions, let us know. -jiangang From: Sandy Ryza [mailto:sandy.r...@cloudera.com] Sent: Wednesday, June 17, 2015 5:51 PM To: Huang, Jie Cc: u...@spark.apache.org; dev@spark.apache.org Subject: Re: [SparkScore] Performance portal for

Re: [SparkScore] Performance portal for Apache Spark

2015-06-17 Thread Sandy Ryza
This looks really awesome. On Tue, Jun 16, 2015 at 10:27 AM, Huang, Jie wrote: > Hi All > > We are happy to announce Performance portal for Apache Spark > http://01org.github.io/sparkscore/ ! > > The Performance Portal for Apache Spark provides performance data on the > Spark upsteam to the com