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 >
