I figured it out, the problem is that the version of "spark-core" in my project is different from the version in the pseudo-cluster.
On Fri, Dec 20, 2013 at 2:47 PM, Michael Kun Yang <kuny...@stanford.edu>wrote: > Thank you very much. > > > On Friday, December 20, 2013, Christopher Nguyen wrote: > >> 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 >> <kuny...@stanford.edu>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 <kuny...@stanford.edu> >>>> 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 >>>> >>>> >>>> >>
