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Some examples of VOs hosted in CNAF VOMS servers (they are all replicated in another site, normally Padova usually in Padua or Naples) are:

...

Anchor
htc_infra
htc_infra
Infrastructure

The job submission middleware installed at CNAF Tier1 has replaced LSF by HTCondor in the first half of 2020is HTCondor. The infrastructure consists of:

On a UI the user can submit a job to the submit node, which then deals with the routing to the central manager, responsible for dispatching the jobs to the worker nodes.

CEs in production:

HTCondor docs and guides are available here [6], [7].

...

HTCondor is a job scheduler. You give HTCondor a file containing commands that tell it how to run jobs. HTCondor locates a machine that can run each job within the pool of machines, packages up the job and ships it off to this execute machine. The jobs run, and output is returned to the machine that submitted the jobs.

...

Code Block
languagebash
#!/bin/bash
# file name: sleep.sh

TIMETOWAIT="40"
echo "sleeping for $TIMETOWAIT seconds"
/bin/sleep $TIMETOWAIT

To submit this sample job, we need to specify all the details such as the names and location of the executable and all needed input files creating a submit description file where each line has the formcommand

name = value

like this:

Code Block
# Unix submit description file
# sleep.sub -- simple sleep job

executable              = sleep.sh
log                     = sleep.log
output                  = outfile.txt
error                   = errors.txt
should_transfer_files   = Yes
when_to_transfer_output = ON_EXIT
queue

...

To submit jobs locally, i.e. from CNAF UI, use the following command:

  • UIs (HTCondor 23 cluster, current).
  • condor_submit. The following options are required:
    -name sn-02.cr.cnaf.infn.it: to correctly address the job to the submit node;
  • -spool: to transfer the input files and keep a local copy of the output files;
  • the submit description file (a .sub file containing the relevant information for the batch system), to be indicated as argument.

For example:

Code Block
-bash-4.2$ condor_submit -name sn-02.cr.cnaf.infn.it -spool sleep.sub
Submitting job(s).
1 job(s) submitted to cluster 6798880.

...

Code Block
condor_q -name sn-02.cr.cnaf.infn.it <user>

For example:

Code Block
-bash-4.2$ condor_q -name sn-02.cr.cnaf.infn.it arendina

-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 07/29/20 11:11:57
OWNER BATCH_NAME SUBMITTED DONE RUN IDLE TOTAL JOB_IDS
arendina ID: 6785585 7/28 15:35 _ _ _ 1 6785585.0
arendina ID: 6785603 7/28 15:46 _ _ _ 1 6785603.0
arendina ID: 6798880 7/29 10:19 _ _ _ 1 6798880.0
Total for query: 3 jobs; 3 completed, 0 removed, 0 idle, 0 running, 0 held, 0 suspended
Total for all users: 47266 jobs; 35648 completed, 3 removed, 6946 idle, 4643 running, 26 held, 0 suspended

To get the list of held jobs and the held reason add the option

-held

Whereas, to see information about a single job use

Code Block
condor_q -name sn-02.cr.cnaf.infn.it <cluster id>

To investigate why does a job end up in a 'Held' state:

Code Block
condor_q -name sn-02.cr.cnaf.infn.it <cluster id> -af HoldReason

and to get more detailed information use the option

-better-analyze

For example:

Code Block
-bash-4.2$ condor_q -better-analyze -name sn-02.cr.cnaf.infn.it 6805590

-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.58:9618?...
The Requirements expression for job 6805590.000 is

(TARGET.Arch == "X86_64") && (TARGET.OpSys == "LINUX") && (TARGET.Disk >= RequestDisk) &&
(TARGET.Memory >= RequestMemory) && (TARGET.HasFileTransfer)

Job 6805590.000 defines the following attributes:

DiskUsage = 20
ImageSize = 275
MemoryUsage = ((ResidentSetSize + 1023) / 1024)
RequestDisk = DiskUsage
RequestMemory = ifthenelse(MemoryUsage =!= undefined,MemoryUsage,(ImageSize + 1023) / 1024)
ResidentSetSize = 0

The Requirements expression for job 6805590.000 reduces to these conditions:

Slots
Step Matched Condition
----- -------- ---------
[0] 24584 TARGET.Arch == "X86_64"
[1] 24584 TARGET.OpSys == "LINUX"
[3] 24584 TARGET.Disk >= RequestDisk
[5] 24584 TARGET.Memory >= RequestMemory
[7] 24584 TARGET.HasFileTransfer


6805590.000: Job is completed.

Last successful match: Wed Jul 29 16:37:03 2020


6805590.000: Run analysis summary ignoring user priority. Of 829 machines,
0 are rejected by your job's requirements
122 reject your job because of their own requirements
0 match and are already running your jobs
0 match but are serving other users
707 are able to run your job

...

-af list specific attributes
-af:j shows the attribute names
-af:th formats a nice table

The job outputs cannot be copied automatically. The user should launch:

Code Block
condor_transfer_data -name sn-02.cr.cnaf.infn.it <cluster id>

with the cluster id returned by condor_submit command at submission:

Code Block
-bash-4.2$ condor_transfer_data -name sn-02.cr.cnaf.infn.it 6806037
Fetching data files...
-bash-4.2$ ls
ce_testp308.sub errors.txt outfile.txt sleep.log sleep.sh sleep.sub test.sub

At the end, to remove a job use the command condor_rm:

Code Block
-bash-4.2$ condor_rm -name sn-02.cr.cnaf.infn.it 6806037
All jobs in cluster 6806037 have been marked for removal

Also, to fix the submit node you want to submit the job you can launch the command

Code Block
export _condor_SCHEDD_HOST=sn-02.cr.cnaf.infn.it

and the commands to submit and check the job become easier:

Code Block
-bash-4.2$ export _condor_SCHEDD_HOST=sn-02.cr.cnaf.infn.it
-bash-4.2$ condor_submit -spool sleep.sub
Submitting job(s).
1 job(s) submitted to cluster 8178760.
-bash-4.2$ condor_q 8178760

-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 09/02/20 10:25:30
OWNER BATCH_NAME SUBMITTED DONE RUN IDLE TOTAL JOB_IDS
arendina ID: 8178760 9/2 10:25 _ _ 1 1 8178760.0

Total for query: 1 jobs; 0 completed, 0 removed, 1 idle, 0 running, 0 held, 0 suspended
Total for all users: 32798 jobs; 13677 completed, 2 removed, 13991 idle, 5115 running, 13 held, 0 suspended

...

First, create the proxy:

Code Block
voms-proxy-init --voms <vo name>

then you can submit the job with the following commands:

...

  •  a submit node for submission from local UIs (HTCondor 9 cluster, decommissioned).
  • ce01-htc.cr.cnaf.infn.it:9619

...

  • ,ce02-htc.cr.cnaf.infn.it

...

  • :

...

  • 9619

...

where "sleep.sub" is the submit file:

Code Block
# Unix submit description file
# sleep.sub -- simple sleep job

use_x509userproxy = true
# needed for all the operation where a certificate is required

+owner = undefined

delegate_job_GSI_credentials_lifetime = 0
# this has to be included if the proxy will last more than 24h, otherwise it will be reduced to 24h automatically

executable              = sleep.sh
log                     = sleep.log
output                  = outfile.txt
error                   = errors.txt
should_transfer_files   = Yes
when_to_transfer_output = ON_EXIT
queue

that differs from the sleep.sub file that has been submitted locally by the command name:

+owner = undefined

that allows the computing element to identify the user through the voms-proxy.

Note that the submit description file of a grid job is basically different from one that has to be submitted locally.

To check the job status of a single job use

...

  • , ce03-htc.cr.cnaf.infn.it:9619

...

So, for the previous example we have:

...

  • , ce04-htc.cr.cnaf.infn.it:9619

...

  • , ce05-htc.cr.cnaf.infn.it

...

  • :

...

  • 9619

...

The user is mapped through the voms-proxy in the user name virgo008 as owner of the job. Then, to get the list of the submitted jobs of a user just change <cluster id> with <owner>:

...

  • , ce06-htc.cr.cnaf.infn.it:9619

...

As in the local case, to get the job outputs the user shoud launch:

Code Block
condor_transfer_data -pool ce02-htc.cr.cnaf.infn.it:9619 -name ce02-htc.cr.cnaf.infn.it <cluster id>

with the cluster id returned by condor_submit command at submission:

...

  • , ce07-htc.cr.cnaf.infn.it:9619

...

  • :

...

Code Block
-bash-4.2$ condor_rm -pool ce02-htc.cr.cnaf.infn.it:9619 -name ce02-htc.cr.cnaf.infn.it 2015217
All jobs in cluster 2015217 have been marked for removal

...

If a user wants to know the usage of an entire experiment goup, in particular to see the number of jobs submitted by each experiment user, the command is:

Code Block
condor_q -all -name sn-02 -cons 'AcctGroup == "<exp-name>"' -af Owner jobstatus | sort | uniq -c

The output will look like this:

Code Block
-bash-4.2$ condor_q -all -name sn-01 -cons 'AcctGroup == "pulp-fiction"' -af Owner jobstatus | sort | uniq -c
1 MWallace 1
3 VVega 4
20 Wolf 4
572 JulesW 1
1606 Ringo 4
1 Butch 2
5 Jody 4

In the first column there is the number of submitted jobs, in the second there is the user who has submitted them and in the third there is the jobs' status (1=pending, 2=running, 3=removed, 4=completed, 5=held, 6=submission_err).

...

All the options and the submit description commands of the condor_submit command are available in the Command Reference Manual [26]. Also for a short guide on the submit description file and its commands you can see the Appendix A.

Some helpful examples follow below.

...

Generally, for a job it could be useful to specify the number of CPUs or maybe it would be better to specify the amount of required RAM with the options:

  • request_cpus = <number of CPUs>

  • request_memory = <RAM amount in MB>

in the command lines of the job submit file. For example, this can be the script of a submit description file with specific requests of CPUs and RAM:

Code Block
-bash-4.2$ cat sleep.sub
# Unix submit description file
# sleep.sub -- simple sleep job

request_cpus = 2
request_memory = 1000
executable = sleep.sh
log = sleep.log
output = outfile.txt
error = errors.txt
should_transfer_files = Yes
when_to_transfer_output = ON_EXIT
queue

On the other hand, if your job has to use GPUs for running, you have to insert the right requirement:

Code Block
+WantGPU = true
request_GPUs = 1
requirements = (TARGET.CUDACapability >= 1.2) && (TARGET.CUDADeviceName =?= "Tesla K40m") && $(requirements:True)

...

First of all, you have to setup ROOT before using it. Your collaboration may have installed a ROOT distribution in /opt/exp_software (which is a location shared between the user-interface and the worker nodes). 

In this case you should find one or more ROOT installation directories there:

Code Block
[fornaricta@ui-tier1]$ ls /opt/exp_software/cta/local_software/root/
5.34.26  5.34.36  5.34.38  root  root-6.10.08  root-6.16.00  root_build_5.34.38

so you can choose your preferred version with a submit file like the following one:

Code Block
[fornaricta@ui-tier1]$ cat test.sub 
universe = vanilla
executable = test.sh
arguments = 5.34.26
output = job.out
error = job.err
log = job.log
WhenToTransferOutput = ON_EXIT
ShouldTransferFiles = YES
queue 1

where the executable file has this content:

Code Block
[fornaricta@ui-tier1]$ cat test.sh
#!/bin/bash
source /storage/gpfs_data/ctalocal/fornaricta/root_config.sh $1
/opt/exp_software/cta/local_software/root/$1/bin/root -b -q

and the configuration script (located on a gpfs path, shared between the user-interface and the worker nodes) is:

Code Block
[fornaricta@ui-tier1]$ cat /storage/gpfs_data/ctalocal/fornaricta/root_config.sh
#!/bin/bash
export LD_LIBRARY_PATH=/opt/exp_software/cta/local_software/root/$1/lib/root:$LD_LIBRARY_PATH

Submitting:

Code Block
[fornaricta@ui-tier1]$ condor_submit -spool -name sn-02.cr.cnaf.infn.it test.sub 
Submitting job(s).
1 job(s) submitted to cluster 5824045.

[fornaricta@ui-tier1]$ condor_q -name sn-02.cr.cnaf.infn.it 5824045.0

-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 07/08/20 18:54:17
OWNER      BATCH_NAME     SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
fornaricta ID: 5824045   7/8  18:54      _      _      1      1 5824045.0


Total for query: 1 jobs; 0 completed, 0 removed, 1 idle, 0 running, 0 held, 0 suspended 
Total for all users: 45425 jobs; 25623 completed, 3 removed, 13181 idle, 5297 running, 1321 held, 0 suspended


[fornaricta@ui-tier1]$ condor_q -name sn-02.cr.cnaf.infn.it 5824045.0

-- Schedd: sn-01.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 07/08/20 18:55:03
OWNER      BATCH_NAME     SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
fornaricta ID: 5824045   7/8  18:54      _      1      _      1 5824045.0


Total for query: 1 jobs; 0 completed, 0 removed, 0 idle, 1 running, 0 held, 0 suspended 
Total for all users: 45474 jobs; 25644 completed, 3 removed, 13222 idle, 5286 running, 1319 held, 0 suspended


[fornaricta@ui-tier1]$ condor_q -name sn-02.cr.cnaf.infn.it 5824045.0

-- Schedd: sn-01.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 07/08/20 18:55:04
OWNER      BATCH_NAME     SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
fornaricta ID: 5824045   7/8  18:54      _      _      _      1 5824045.0


Total for query: 1 jobs; 1 completed, 0 removed, 0 idle, 0 running, 0 held, 0 suspended 
Total for all users: 45476 jobs; 25646 completed, 3 removed, 13223 idle, 5284 running, 1320 held, 0 suspended


[fornaricta@ui-tier1]$ condor_transfer_data -name sn-02.cr.cnaf.infn.it 5824045.0
Fetching data files...
[fornaricta@ui-tier1]$ cat job.err
[fornaricta@ui-tier1]$ cat job.out 
  *******************************************
  *                                         *
  *        W E L C O M E  to  R O O T       *
  *                                         *
  *   Version   5.34/26  20 February 2015   *
  *                                         *
  *  You are welcome to visit our Web site  *
  *          http://root.cern.ch            *
  *                                         *
  *******************************************


ROOT 5.34/26 (v5-34-26@v5-34-26, Jun 16 2015, 18:41:55 on linuxx8664gcc)


CINT/ROOT C/C++ Interpreter version 5.18.00, July 2, 2010
Type ? for help. Commands must be C++ statements.
Enclose multiple statements between { }

If no ROOT installation is available in /opt/exp_software, you can source one of the multiple distributions available from CVMFS:

Code Block
[fornarivirgo@ui01-virgo root_test]$ ls /cvmfs/sft.cern.ch/lcg/releases/ROOT/
5.34.24-64287 6.06.06-71859 6.10.00-8b404 6.12.04-4473c 6.12.06-76fef 6.14.00-66c89 
6.14.04-2a3e5 6.14.04-dedca 6.16.00-23725 6.16.00-5be98 6.16.00-b4729 6.18.00-d0330 ...

For instance:

Code Block
[fornarivirgo@ui01-virgo root_test]$ cat test.sub
universe = vanilla
Executable = test.sh
ShouldTransferFiles = YES
WhenToTransferOutput = ON_EXIT
Log = log.log
Output = log.out
Error = log.err
queue 1
[fornarivirgo@ui01-virgo root_test]$ cat test.sh
#!/bin/bash
. /cvmfs/sft.cern.ch/lcg/views/setupViews.sh LCG_96python3 x86_64-centos7-gcc8-opt
root -b -q
[fornarivirgo@ui01-virgo root_test]$ condor_submit -spool -name sn-02.cr.cnaf.infn.it test.sub
Submitting job(s).
1 job(s) submitted to cluster 8445482.
[fornarivirgo@ui01-virgo root_test]$ condor_q -name sn-02.cr.cnaf.infn.it 8445482


-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 09/10/20 17:21:42
OWNER BATCH_NAME SUBMITTED DONE RUN IDLE TOTAL JOB_IDS
fornarivirgo ID: 8445482 9/10 17:21 _ _ 1 1 8445482.0

Total for query: 1 jobs; 0 completed, 0 removed, 1 idle, 0 running, 0 held, 0 suspended 
Total for all users: 39956 jobs; 21240 completed, 2 removed, 13371 idle, 4218 running, 1125 held, 0 suspended

[fornarivirgo@ui01-virgo root_test]$ condor_q -name sn-02.cr.cnaf.infn.it 8445482


-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.58:9618?... @ 09/10/20 17:23:58
OWNER BATCH_NAME SUBMITTED DONE RUN IDLE TOTAL JOB_IDS
fornarivirgo ID: 8445482 9/10 17:21 _ _ _ 1 8445482.0

Total for query: 1 jobs; 1 completed, 0 removed, 0 idle, 0 running, 0 held, 0 suspended 
Total for all users: 39959 jobs; 21288 completed, 2 removed, 13341 idle, 4202 running, 1126 held, 0 suspended

[fornarivirgo@ui01-virgo root_test]$ condor_transfer_data -name sn-02.cr.cnaf.infn.it 8445482
Fetching data files...
[fornarivirgo@ui01-virgo root_test]$ cat log.err 
[fornarivirgo@ui01-virgo root_test]$ cat log.out
------------------------------------------------------------
| Welcome to ROOT 6.18/00 https://root.cern                |
| (c) 1995-2019, The ROOT Team                             |
| Built for linuxx8664gcc on Jun 25 2019, 09:22:23         |
| From tags/v6-18-00@v6-18-00                              |
| Try '.help', '.demo', '.license','.credits', '.quit'/'.q'|
------------------------------------------------------------

...

All the CNAF computing servers support containerization through Singularity [24] . Singularity is a containerization tool for running software in a reproducible way on various different platforms. With the advent of new operating systems, programming languages, and libraries, containers offer a sustainable solution for running old software. The software is shipped in so-called image, i.e. a file or folder containing a minimal operating system, the application to run and all its dependencies.
This section of the Tier-1 User Guide is intended to drive the user towards a transition from a native application workflow to one based on containers.
Singularity supports several image formats:

  • Singularity .img files
  • Singularity images in registry via the shub:// protocol
  • Docker images in registry via the docker:// protocol
  • a tar archive, eventually bzipped or gzipped
  • a folder

...

Official images for official software may have already been prepared by the software group within your experiment and be available through a shared filesystem (such as CVMFS), SingularityHub or other supported repository. Please check with your software manager about the support to Singularity.

...

A singularity recipe is a text file that contains all the instructions and configurations needed to build an image. It is organized in a header and a number of optional sections. The header is composed by a list of configuration settings in the form of "keyword: value" describing the system to use as base for the new image. Sections are identified by the % sign followed by a keyword. For a detailed list of all possible sections refer to [25].
An example of recipe file follows:

Code Block
## Assume the file is called Recipe.txt and the final image is named name.img

# Headers
BootStrap: docker
From: cern/slc6-base

## Help section
%help
This text will be available by running

singularity help name.img

%labels
## Metadata to store (available through "singularity inspect name.img")
AUTHOR Carmelo Pellegrino
VERSION 1.0

## Environment variables setup
%environment
export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH

## Files to be copied in image from host system
%files
# source (in host system) [destination (in container, default "/")]
./code/ /

## Commands to execute in container during image building, after bootstrap
%post
yum -y update && yum -y upgrade && \
yum -y install --setopt=tsflags=nodocs \
devtoolset-6 compat-gcc-34-g77 \
cernlib-g77-devel cernlib-g77-utils

## Commands to be executed in default container instantiation
%runscript
exec /bin/bash

Build it with:

Code Block
sudo singularity build name.img Recipe.txt

NOTE: since building a new image requires root access on the host system, it will not be possible on CNAF computing resources.

...

Singularity allows to run image-shipped software by simply prepending the singularity exec image.img text on the command line. The current working directory (CWD) is maintained and non-system files are available, so that, for example, the output of the ls command run in a container is not very different from the same command run natively.

Suppose the g77 compiler version 3.4 is contained in the name.img image. Example commands and their output follow:

Code Block
$ cat hw.f
      program hello_world
      implicit none
      write ( *, * ) 'Hello, world!'
      stop
      end 
 $ singularity exec name.img g77 --version # i.e.: "g77 --version" runs in a container
GNU Fortran (GCC) 3.4.6 20060404 (Red Hat 3.4.6-19.el6)
Copyright (C) 2006 Free Software Foundation, Inc. 
GNU Fortran comes with NO WARRANTY, to the extent permitted by law.
You may redistribute copies of GNU Fortran
under the terms of the GNU General Public License.
For more information about these matters, see the file named COPYING
or type the command `info -f g77 Copying'. 
 $ singularity exec name.img g77 hw.f -o hw
 $ singularity exec name.img ./hw
  Hello, world!

If a particular external folder is not available in container, for example exp_software or cvmfs, it can be forcedly bound by means of the -B orig:dest command line option. Many folders can also be bound at the same time:

Code Block
$ singularity exec -B /cvmfs/:/cvmfs/ -B /opt/exp_software/:/opt/exp_software/ name.img ./hw

How to run Geant4 using Singularity

Geant4 needs old verion of “liblzma” and “libpcre” libraries related to Scien-tific Linux 6, for this reason an SL6 environment (using Singularity container) is therefore required to compile/execute the software from there.

Recompile Geant4 inside a container instantiated from a Singularity image with SL6 (usually provided by CNAF User Support), so that the libraries used are actually those that require Geant4. To do this, just start a Singularity container with the following command:

Code Block
$ singularity exec /opt/exp_software/cupid/UI_SL6.img /bin/bash
Singularity>

then in the folder where the Geant sources are present, they can be recompiled.

If it is necessary to be able to access a host operating system path, simply use the ``-B'' (binding path) option specifying the host path separated from the mountpoint in the container using the colons. For example, to access /opt/exp_software/cupid, change the previous command to:

Code Block
$ singularity exec -B /opt/exp_software:/opt/exp_software /opt/exp_software/cupid/UI_SL6.img /bin/bash
Singularity>

Once Geant has been recompiled, to submit job, the executable must be written in order to launch the commands related Geant within the Singularity container.

To perform, for example, the “cuspide” application, a line like the following must be inserted in the script:

Code Block
singularity exec --no-home -B /opt/exp_software:/opt/exp_software /opt/exp_software/cupid/UI_SL6.img /opt/exp_software/cupid/geant4/bin/10.04.p02/cuspide

where the ``--no-home'' option causes Singularity to avoid mounting the user's home, since the job, not having the permissions to do so, would fail if it did.

...

At Tier-1 it's now possible to use Jupyter notebooks served by JupyterHub. The service is reachable via browser at the following page: https://jupyterhub-t1.cr.cnaf.infn.it/

Once you get there, you will be asked to login by using your account bastion credentials. The account must belong to an experiment which has pledged CPU resources on the batch system.
Moreover, right after the login it is also possible to customize the jupyter environment following the instructions at the User environment customization paragraph.

When you login, the Hub service submits a local HTCondor job which is named jupyter-<username>.  You can check its status from your user interface as a local job submitted on the sn-02, with the following command:

Code Block
-bash-4.2$ condor_q -name sn-02


-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.42:9618?... @ 01/13/22 17:50:38
OWNER           BATCH_NAME                 SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
dlattanzioauger jupyter-dlattanzioauger   1/13 17:47      _      1      _      1 1035919.0

Total for query: 1 jobs; 0 completed, 0 removed, 0 idle, 1 running, 0 held, 0 suspended
Total for dlattanzioauger: 1 jobs; 0 completed, 0 removed, 0 idle, 1 running, 0 held, 0 suspended
Total for all users: 25632 jobs; 12551 completed, 0 removed, 10796 idle, 2174 running, 111 held, 0 suspended

As long as the notebook is running, you will also see your job in RUN status. The service runs on a farm worker node.

Here's the Home page that you will see after the job went running: 

Image Removed

From this page, it is possible to browse through the different tools, for instance you can open a new Python notebook or a bash shell:

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Inside the file "README.md" on the left column, you will find some useful informations and a link to this user guide.

It is important to know that the work done here and all the data produced (e.g. if you run a python code by your notebook from this web page) are treated as a local job, so they follow the same rules valid for all the local jobs. This means that the jobs will have a limited lifetime, will use the pledged CPU resources and their status can be checked by the usual condor_q command. 

The output files produced by a job must be copied somewhere else, otherwise, if they are saved only locally on the wn, they will be lost once the job is done. Posix access to /cvmfs, /storage and /opt/exp_software is guaranteed. 

When you logout from the service or if you close the browser, the notebook keeps running, so after a new login it still will be there if the job lifetime is not expired. On the other hand, you can also decide to stop the notebook, in this case at the next login a new job is automatically submitted. There are two ways to stop the notebook:

1) From the upper-left corner, select the menu File > Hub Control Panel and then click on the "Stop My Server" red button.

2) The second way is removing the job by using the usual HTCondor command used for local jobs. For instance, run from the ui:

Code Block
$ condor_rm -name sn-02 -cons 'JobBatchName=="jupyter-dlattanzioauger"'
All jobs matching constraint (JobBatchName=="jupyter-dlattanzioauger") have been marked for removal

Check that job has been succesfully removed:

Code Block
-bash-4.2$ condor_q -name sn-02


-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.42:9618?... @ 01/13/22 18:44:25
OWNER BATCH_NAME      SUBMITTED   DONE   RUN    IDLE   HOLD  TOTAL JOB_IDS

Total for query: 0 jobs; 0 completed, 0 removed, 0 idle, 0 running, 0 held, 0 suspended
Total for dlattanzioauger: 0 jobs; 0 completed, 0 removed, 0 idle, 0 running, 0 held, 0 suspended
Total for all users: 31480 jobs; 13169 completed, 0 removed, 15852 idle, 2352 running, 107 held, 0 suspended

...

During the Jupyter notebook excecution, it is possible to create a Conda environment by installing different packages like another Python version. For instance, you can issue the following commands:

Code Block
%conda create -n test -y python=3.6

%conda run -n test pip install ipykernel

%conda run -n test python -m ipykernel install --user --name python3.6 --display-name PythonCustom_3.6

N.B. If you had previously the jupyter environment, before launching the above commands, you need to import again the proper environment variable:

Code Block
import os
os.environ['LD_LIBRARY_PATH']=''

At this point, you will see a new shortcut to a new notebook which contains the new PythonCustom_3.6 conda environment.

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For example, inside this new notebook, you can launch the ROOT software:

Code Block
import sys
sys.path.append('/cvmfs/sft.cern.ch/lcg/views/LCG_96python3/x86_64-centos7-gcc8-opt/lib/python3.6/site-packages/')
sys.path.append('/cvmfs/sft.cern.ch/lcg/views/LCG_96python3/x86_64-centos7-gcc8-opt/lib')
import ROOT

Welcome to JupyROOT 6.18/00 

Software installation in a Conda environment

After having issued a proper conda environment, the user has to activate it in order to use it from the CLI:

Code Block
Singularity> conda activate test

N.B. In order to avoid the following error:

Code Block
Singularity> conda activate test
/usr/bin/python3: symbol lookup error: /usr/bin/python3: undefined symbol: _Py_LegacyLocaleDetected
Singularity> 

The user needs to unset the LD_LIBRARY_PATH environment variable:

Code Block
Singularity> unset LD_LIBRARY_PATH
Singularity> conda activate test
(test) Singularity> 

At this point, it is possible for example to install a software like R:

Code Block
(test) Singularity> conda install R

 and then it can be executed:

Code Block
(test) Singularity> R

R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-conda_cos6-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 

After the R installation, the user can install the native R kernel for Jupyter:

Code Block
> install.packages('IRkernel')

During the installation, the user will be prompted with a list of different countries. For a quicker installation, the nearest can be chosen.

At this point, running the following command, a new R shortcut will be available on the main Jupyter dashboard:

Code Block
IRkernel::installspec()

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...

If a user has to manage multiple jobs in a direct acyclic graph (DAG) order it is possible to organize the submission with a DAG input file.
In the graph below, the vertices, generally tagged with a letter, represent the jobs and the edges represent the degree of relationship.

                          Image Removed

In this case the A job is a parent of the B¹, B² and B³ jobs, namely the children.
This implies that the B* jobs start once the A job finished.
This automatic implementation of successive submissions could be very useful.

...

To properly perform a DAG job it occurs to write a DAG input file with the specific tags of the jobs and the degree of relationship, for instance:

Code Block
-bash-4.2$ cat simple.dag
JOB A sleep.sub
JOB B snore.sub
PARENT A CHILD B

...

  • 6 computing elements for grid submission.
  • 1000 worker nodes.

From a UI, the user can submit a job to the submit node, which then deals with the routing to the central manager, responsible for dispatching the jobs to the worker nodes.

HTCondor docs and guides are available here [6], [7].

Code Block
-bash-4.2$ export _condor_SCHEDD_HOST=sn-02.cr.cnaf.infn.it
-bash-4.2$ condor_submit_dag simple.dag
Renaming rescue DAGs newer than number 0
-----------------------------------------------------------------------
File for submitting this DAG to HTCondor           : simple.dag.condor.sub
Log of DAGMan debugging messages                 : simple.dag.dagman.out
Log of HTCondor library output                     : simple.dag.lib.out
Log of HTCondor library error messages             : simple.dag.lib.err
Log of the life of condor_dagman itself          : simple.dag.dagman.log

Submitting job(s).
1 job(s) submitted to cluster 1271844.
-----------------------------------------------------------------------

The submission produces the log files shown in the output.
Then, to check the job status a user can launch the condor_q command

Code Block
-bash-4.2$ condor_q


-- Schedd: sn-02.cr.cnaf.infn.it : <131.154.192.42:9618?... @ 01/26/22 17:47:19
OWNER        BATCH_NAME            SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
arendinajuno simple.dag+1271844   1/26 16:51      _      1      _      1 1271846.0

Total for query: 1 jobs; 0 completed, 0 removed, 0 idle, 1 running, 0 held, 0 suspended
Total for arendinajuno: 1 jobs; 0 completed, 0 removed, 0 idle, 1 running, 0 held, 0 suspended
Total for all users: 26968 jobs; 18806 completed, 1 removed, 4984 idle, 3132 running, 45 held, 0 suspended

and after the A job is done, the child job B is queued:

...