Hi Akhil, Yes, you are right. If I ran the program from IDE as a normal java program, the executor's memory is increased...but not to 2048m, it is set to 6.7GB...Looks like there's some formula to calculate this value.
Thanks, David On Mon, Mar 16, 2015 at 7:36 PM Akhil Das <ak...@sigmoidanalytics.com> wrote: > By default spark.executor.memory is set to 512m, I'm assuming since you > are submiting the job using spark-submit and it is not able to override the > value since you are running in local mode. Can you try it without using > spark-submit as a standalone project? > > Thanks > Best Regards > > On Mon, Mar 16, 2015 at 1:52 PM, Xi Shen <davidshe...@gmail.com> wrote: > >> I set it in code, not by configuration. I submit my jar file to local. I >> am working in my developer environment. >> >> On Mon, 16 Mar 2015 18:28 Akhil Das <ak...@sigmoidanalytics.com> wrote: >> >>> How are you setting it? and how are you submitting the job? >>> >>> Thanks >>> Best Regards >>> >>> On Mon, Mar 16, 2015 at 12:52 PM, Xi Shen <davidshe...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> I have set spark.executor.memory to 2048m, and in the UI "Environment" >>>> page, I can see this value has been set correctly. But in the "Executors" >>>> page, I saw there's only 1 executor and its memory is 265.4MB. Very strange >>>> value. why not 256MB, or just as what I set? >>>> >>>> What am I missing here? >>>> >>>> >>>> Thanks, >>>> David >>>> >>>> >>> >
