waiting on jobs in bash, allowing limited parallel jobs at one time, and then for all to finish
Hello,
I am running GNU bash, version 3.2.39(1)-release (x86_64-pc-linux-gnu). I have a specific question pertaining to waiting on jobs run in sub-shells, based on the max number of parallel processes I want to allow, and then wait for the remaining sub-shell jobs to finish before the next step is executed in the pipeline (if I am making proper sense here)..
Essentially,my pseudo code looks like this:
###wait <- works fine without this wait, but I need all kmerlen jobs to finish first to proceed to the next part of the pipeline
## Run the rest of the pipeline...
The first wait statement in the while loop works fine spawning 3 jobs, but when I use the next wait statement, that property is lost, and the number of sub-shells spawned are equal to my kmerlen.
Thanks for any pointers that you can provide.
Last edited by Franklin52; 07-07-2011 at 03:26 AM..
Reason: Please use code tags for code and data samples, thank you
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LEARN ABOUT DEBIAN
condor_wait
condor_wait(1) General Commands Manual condor_wait(1)Name
condor_wait Wait - for jobs to finish
Synopsis
condor_wait [-help -version]
condor_wait[-debug] [-wait seconds] [-num number-of-jobs] log-file[job ID]
Description
condor_waitwatches a user log file (created with the logcommand within a submit description file) and returns when one or more jobs from
the log have completed or aborted.
Because condor_waitexpects to find at least one job submitted event in the log file, at least one job must have been successfully submitted
with condor_submitbefore condor_waitis executed.
condor_waitwill wait forever for jobs to finish, unless a shorter wait time is specified.
Options-help
Display usage information
-version
Display version information
-debug
Show extra debugging information.
-wait seconds
Wait no more than the integer number of seconds. The default is unlimited time.
-num number-of-jobs
Wait for the integer number-of-jobsjobs to end. The default is all jobs in the log file.
log file
The name of the log file to watch for information about the job.
job ID
A specific job or set of jobs to watch. If the job IDis only the job ClassAd attribute ClusterId , then condor_wait waits for all jobs
with the given ClusterId . If the job IDis a pair of the job ClassAd attributes, given by ClusterId . ProcId , then condor_wait waits
for the specific job with this job ID. If this option is not specified, all jobs that exist in the log file when condor_wait is invoked
will be watched.
General Remarks
condor_waitis an inexpensive way to test or wait for the completion of a job or a whole cluster, if you are trying to get a process outside
of Condor to synchronize with a job or set of jobs.
It can also be used to wait for the completion of a limited subset of jobs, via the -numoption.
Examples
condor_wait logfile
This command waits for all jobs that exist in logfile to complete.
condor_wait logfile 40
This command waits for all jobs that exist in logfile with a job ClassAd attribute ClusterId of 40 to complete.
condor_wait -num 2 logfile
This command waits for any two jobs that exist in logfile to complete.
condor_wait logfile 40.1
This command waits for job 40.1 that exists in logfile to complete.
condor_wait -wait 3600 logfile 40.1
This waits for job 40.1 to complete by watching logfile , but it will not wait more than one hour (3600 seconds).
Exit Status
condor_waitexits with 0 if and only if the specified job or jobs have completed or aborted. condor_waitreturns 1 if unrecoverable errors
occur, such as a missing log file, if the job does not exist in the log file, or the user-specified waiting time has expired.
Author
Condor Team, University of Wisconsin-Madison
Copyright
Copyright (C) 1990-2012 Condor Team, Computer Sciences Department, University of Wisconsin-Madison, Madison, WI. All Rights Reserved.
Licensed under the Apache License, Version 2.0.
See the Condor Version 7.8.2 Manualor http://www.condorproject.org/licensefor additional notices. condor-admin@cs.wisc.edu
September 2012 condor_wait(1)