Hi How do i find out what the gc3pie version is? My config file has no entry for "time_cmd" - i attach the config file.
Thanks Jody On Monday, November 21, 2016 at 11:51:42 AM UTC+1, Jody Weissmann wrote: > > Hi > > I have built a *SequentialTaskCollection* consisting of 6 Applications. > > When i run it on localhost it works fine, but on the science cloud i get a > message like > /home/centos/gc3libs.L4Kvjx/.gc3pie_shellcmd/wrapper_script.sh: line 4: > exec: None: not found > for every application in the *SequentialTaskCollection* > > A new instance is started in the science cloud and the various output > directories as well as stdout and stderr files are created. > > The instance created is a fresh Centos 7.2 installationto which i added > some packages needed for my software to run (i.e. no gc3lib or so > installed). > > Does anybody know how to solve this problem? > > cheers > Jody > > -- You received this message because you are subscribed to the Google Groups "gc3pie" group. To unsubscribe from this group and stop receiving emails from it, send an email to gc3pie+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
# # This is an example configuration file for GC3Pie, # meant to be used in the "GC3Pie for users" course. # # At the end of the course, it will contain real working definitions # of the UZH computing resources so it can also be used as a basis # for your own configuration file for production use. # # run tasks on the computer where GC3Pie commands are typed [resource/localhost] enabled = no type = shellcmd frontend = localhost transport = local max_cores_per_job = 2 max_memory_per_core = 2GiB max_walltime = 12 hours max_cores = 2 architecture = x86_64 auth = none override = no # run tasks on the Hydra large-memory cluster [resource/hydra] enabled = no type = slurm frontend = login.s3it.uzh.ch transport = ssh auth = ssh_user_account max_walltime = 1 day max_cores = 96 max_cores_per_job = 64 max_memory_per_core = 1 TiB architecture = x86_64 prologue_content = module load cluster/largemem [auth/ssh_user_account] type=ssh # TO-DO: replace `uzh-shortname` with your actual UZH shortname username=jweiss # run jobs on the UZH "ScienceCloud" [resource/sciencecloud] enabled=yes type=openstack+shellcmd auth=openstack vm_pool_max_size = 6 security_group_name=default security_group_rules= tcp:22:22:0.0.0.0/0, icmp:-1:-1:0.0.0.0/0 network_ids= c86b320c-9542-4032-a951-c8a068894cc2 # definition of a single execution VM: # - flavor (i.e., size) of the VM instance_type=1cpu-4ram-hpc # - image_id of `Ubuntu Server 14.04.04 LTS (2016-05-19)` ##image_id=d2185996-00b4-4ce1-b291-147d2deebe94 #### CENTOS IMAGE ID ################################### ## for "gqhg_centos_dreed_test" ##image_id=9f52a5c8-f178-4d34-9dd2-a5dc59dbd73b ## for "gqhg_centos7_3" (normal gqhg use) ##image_id=5d8192a6-3edf-4467-aa3f-833c347e97a7 ## for "qhg_analysis_2" image_id=47c046b6-2b44-46dc-9dd2-eac42c5433be max_cores_per_job = 16 #orig 4GiB max_memory_per_core = 4GB max_walltime = 90 days max_cores = 97 architecture = x86_64 # how to connect vm_auth=ssh_user_centos ##keypair_name=dreed_gqhg_test ##public_key=~/.ssh/dreed_gqhg_test.pub keypair_name=cloud_jw public_key=~/.ssh/cloud_jw.pub [auth/ssh_user_centos] # default user on Centos VM images type=ssh username=centos [auth/openstack] # only need to set the `type` here; any other value will be taken from # the `OS_*` environment variables type = openstack
