Re: Codespeed deployment for Flink

2018-09-27 Thread Till Rohrmann
from this benchmark in the previous PRs. Wish the > > visualization tool becoming stronger to benefit more for the community! > > > > > > Best, > > > Zhijiang > > > ------ > > >

Re: Codespeed deployment for Flink

2018-09-25 Thread Peter Huang
--- > > 发件人:Piotr Nowojski > > 发送时间:2018年9月21日(星期五) 22:59 > > 收件人:dev > > 抄 送:Nico Kruber > > 主 题:Codespeed deployment for Flink > > > > Hello community, > > > > For almost a year in data Artisans Nico and I were maintaining a setup &

Re: Codespeed deployment for Flink

2018-09-25 Thread Jin Sun
ore for the community! > > Best, > Zhijiang > -- > 发件人:Piotr Nowojski > 发送时间:2018年9月21日(星期五) 22:59 > 收件人:dev > 抄 送:Nico Kruber > 主 题:Codespeed deployment for Flink > > Hello community, > > Fo

回复:Codespeed deployment for Flink

2018-09-25 Thread Zhijiang(wangzhijiang999)
Nowojski 发送时间:2018年9月21日(星期五) 22:59 收件人:dev 抄 送:Nico Kruber 主 题:Codespeed deployment for Flink Hello community, For almost a year in data Artisans Nico and I were maintaining a setup that continuously evaluates Flink with benchmarks defined at https://github.com/dataArtisans/flink-benchmarks

Re: Codespeed deployment for Flink

2018-09-21 Thread vino yang
Hi Piotr and Nico, Thank you for your hard work, it looks great. With it, there will be quantifiable indicators of the impact of changes and improvements in Flink source code. Thanks, vino. Kostas Kloudas 于2018年9月22日周六 上午12:01写道: > Thanks for this contribution Piotr and Nico. > > Tools like

Re: Codespeed deployment for Flink

2018-09-21 Thread Kostas Kloudas
Thanks for this contribution Piotr and Nico. Tools like this are really useful for Flink’s success. Cheers, Kostas > On Sep 21, 2018, at 4:59 PM, Piotr Nowojski wrote: > > Hello community, > > For almost a year in data Artisans Nico and I were maintaining a setup > that continuously

Codespeed deployment for Flink

2018-09-21 Thread Piotr Nowojski
Hello community, For almost a year in data Artisans Nico and I were maintaining a setup that continuously evaluates Flink with benchmarks defined at https://github.com/dataArtisans/flink-benchmarks . With growing interest and after proving useful