MichaelY, this sort of thing where "it could be any of dozens of things" can usually be resolved by asking someone share your screen with you for 5 minutes. It's far more productive than guessing over emails.
If @freeman is willing, you can send a private message to him to set that up over Google Hangout. -- Christopher T. Nguyen Co-founder & CEO, Adatao <http://adatao.com> linkedin.com/in/ctnguyen On Fri, Dec 20, 2013 at 1:57 PM, Michael Kun Yang <[email protected]>wrote: > It's alive. I just restarted it, but it doesn't help. > > > On Friday, December 20, 2013, Michael (Bach) Bui wrote: > >> Check if your worker is “alive” >> Also take a look at your master log and see if there is error message >> about worker. >> >> This usually can be fixed by restarting Spark. >> >> >> >> >> >> On Dec 20, 2013, at 3:12 PM, Michael Kun Yang <[email protected]> >> wrote: >> >> Hi, >> >> I really need help, I went through previous posts on the mailing list but >> still cannot resolve this problem. >> >> It works when I use local[n] option, but error is occurred when I use >> spark://master.local:7077. >> >> I checked the UI, the workers are correctly registered and I set the >> SPARK_MEM compatible with my machine. >> >> Best >> >> >>
