ok, I just tried it with multiple different memory configurations (for 6GB driver mem I got the same number of spark instructions as you reported) and it ran just fine and produced the outputs. So please, give it a try without the ~ (i.e., use an absolute or relative path).
Also, even with 2GB mem, this data generation for 1M x 1K ran in about 60s (including spark context creation) in my environment. Since your log shows a runtime of 5000s, you might want to reduce the data size a bit. Regards, Matthias On Fri, Sep 15, 2017 at 11:08 PM, Krishna Kalyan <krishnakaly...@gmail.com> wrote: > Thanks for the reply, > I have tested with systemml-standalone.py too. I am still faced with the > same problem. Currently my spark is configured to work on local fs instead > of HDFS hence I did not have a problem with the ~. > > Regards, > Krishna > > > > > On Sat, Sep 16, 2017 at 7:24 AM, Matthias Boehm <mboe...@googlemail.com> > wrote: > > > well, I don't think any HDFS fs implementation resolves '~' - so it has > > probably created a directory called '~/open-source/scripts/PCA_data' in > > your user path in HDFS or current directory in local FS. > > > > Regards, > > Matthias > > > > On Fri, Sep 15, 2017 at 5:47 PM, Krishna Kalyan < > krishnakaly...@gmail.com> > > wrote: > > > > > Hello, > > > I using PCA > > > <https://github.com/apache/systemml/blob/master/scripts/ > > > datagen/genRandData4PCA.dml> > > > data > > > generation scripts to generate data. Unfortunately they do not produce > > any > > > output in the specified target directory. > > > > > > Command used: > > > > > > systemml/bin/systemml-spark-submit.py -f genRandData4PCA.dml -nvargs > > > R=1000000 C=1000 OUT=~/open-source/scripts/PCA_data > > > > > > logs > > > https://gist.github.com/krishnakalyan3/70796b13735743886e41d3da6b75d7 > d5 > > > > > > This job also does not throw any errors during exection. > > > > > > Thank you so much, > > > Krishna > > > > > >
