Re: [HTCondor-users] How to use request_cpus/disk/memory in python bindings?

["Beyer, Christoph" <christoph.beyer@xxxxxxx>]

Hi,

once the job is finished you can a lot of useful information from the historyfile using 'condor_history' !

For example memory related informations:

[root@bird-htc-sched11 ~]# condor_history -l -limit 1 | grep -i mem
DefaultMemory = 1536
DefaultMinMemory = 512
MemoryProvisioned = 1536
MemoryUsage = ((ResidentSetSize + 1023) / 1024)
ReqOrigMemory = 1536
RequestMemory = 1536

Best

christoph

--
Christoph Beyer
DESY Hamburg
IT-Department

Notkestr. 85
Building 02b, Room 009
22607 Hamburg

phone:+49-(0)40-8998-2317
mail: christoph.beyer@xxxxxxx

---

Von: "Htcondor user" <htcondor.user@xxxxxxxxx>
An: "htcondor-users" <htcondor-users@xxxxxxxxxxx>
Gesendet: Freitag, 24. Januar 2020 11:34:20
Betreff: [HTCondor-users] How to use request_cpus/disk/memory in python        bindings?

Hi all,

I am Using Python bindings (condor 8.6.12 version) to submit a job as below:

sub  = htcondor.submit (

{"executable":"/bin/sleep", 

"arguments":"5m"} )

I am able to get the clusterID.

Now i want to pass below info similar to .submit file to my submit api 

"request_cpus":1,

"request_disk":"20MB",

"request_memory":"1GB"

How can i achieve this using python bindings? can any one share some examples?

After that, While requesting the appropriate resources for my job to run like (request_cpus,  request_disk,  request_memory)  how can i test it? is it really overwritting by default config files and giving me 1GB of memory to run my job or not?

Is there any log file generated where i can see the allocated disk/memory/cpu for my job?

Thanks in advance.

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