Synopsis
condor_suspend [-help -version]condor_suspend[-debug] [-pool centralmanagerhostname[:portnumber]-name scheddname][-addr "<a.b.c.d:port>"] cluster cluster.process user -constraint expression-all
Description
condor_suspendsuspends one or more jobs from the HTCondor job queue. When a job is suspended, the match between the condor_scheddand machine is not been broken, such that the claim is still valid. But, the job is not making any progress and HTCondor is no longer generating a load on the machine. If the -nameoption is specified, the named condor_scheddis targeted for processing. Otherwise, the local condor_scheddis targeted. The job(s) to be suspended are identified by one of the job identifiers, as described below. For any given job, only the owner of the job or one of the queue super users (defined by the QUEUE_SUPER_USERS macro) can suspend the job.
Options
-help
- Display usage information
-version
- Display version information
-pool centralmanagerhostname[:portnumber]
- Specify a pool by giving the central manager's host name and an optional port number
-name scheddname
- Send the command to a machine identified by scheddname
-addr <a.b.c.d:port>
- Send the command to a machine located at "<a.b.c.d:port>"
-debug
- Causes debugging information to be sent to stderr , based on the value of the configuration variable TOOL_DEBUG
cluster
- Suspend all jobs in the specified cluster
cluster.process
- Suspend the specific job in the cluster
user
- Suspend jobs belonging to specified user
-constraint expression
- Suspend all jobs which match the job ClassAd expression constraint
-all
- Suspend all the jobs in the queue
Exit Status
condor_suspendwill exit with a status value of 0 (zero) upon success, and it will exit with the value 1 (one) upon failure.
Examples
To suspend all jobs except for a specific user:
% condor_suspend -constraint 'Owner =!= "foo"'
Run condor_continueto continue execution.
Author
Center for High Throughput Computing, University of Wisconsin-MadisonCopyright
Copyright (C) 1990-2015 Center for High Throughput Computing, Computer Sciences Department, University of Wisconsin-Madison, Madison, WI. All Rights Reserved. Licensed under the Apache License, Version 2.0.