work_queue_status(1)
β¨ work_queue_status(1) β¨
okay so bestie, this is a page from the Cooperative Computing Tools manual, and it's about work_queue_status β the little icon that tells you what all your Work Queue apps are doing rn π
πΈ NAME πΈ
work_queue_status β display status of currently running Work Queue applications. no cap, that's literally its whole job π«Ά
π SYNOPSIS π
work_queue_status [options] [manager] [port]
π¦ DESCRIPTION π¦
work_queue_status shows you the status of the Work Queue applications that are running right now. Here's the tea: when you run it with no options at all, it goes and asks the global catalog server to list all the Work Queue managers currently running. But when you hand it an address and a port, it goes straight to that one manager and gets the detailed deets about tasks and workers. so nosy of it, we love that π
Here's what you get:
- Hostname and port number of the application.
- Number of waiting tasks.
- Number of completed tasks.
- Number of connected workers.
- Number of tasks currently being executed.
- Timestamp of when there was last communication with the application.
β¨ OPTIONS β¨
the full menu, bestie. every single one. π
--where <expr>β only show Work Queue managers that match this expression.-Q,--statisticsβ show summary info about queues. (this is the default, fyi)-M,--project-name=<name>β filters the results of-Qdown to managers matching<name>.-W,--workersβ show the details of all the workers connected to the manager.-T,--tasksβ show the details of every task sitting in the queue.-A,--able-workersβ list the categories of the given manager, the size of the largest task, and which workers can actually run it.-R,--resourcesβ show the available resources for each manager.--capacityβ show the resource capacities for each manager.-l,--verboseβ long output.-C,--catalog=<catalog>β set the catalog server to<catalog>. format:HOSTNAME:PORT-d,--debug=<flag>β enable debugging for the given subsystem. try-d allas a start, it's the vibe check of debugging π-t,--timeout=<time>β RPC timeout (default=300s).-o,--debug-file=<file>β send debugging to this file. (can also be:stderr, or:stdout)-O,--debug-rotate-max=<bytes>β rotate the debug file once it hits this size.-v,--versionβ showwork_queue_statusversion.-h,--helpβ show this help message.
π EXAMPLES π
this is the part where it gets good, fr fr
With no arguments, work_queue_status shows a summary of all the projects currently reporting to the default catalog server. The Waiting, running, and complete columns are all about number of tasks:
$ work_queue_status
PROJECT HOST PORT WAITING RUNNING COMPLETE WORKERS
shrimp cclws16.cse.nd.edu 9001 963 37 2 33
crustacea terra.solar.edu 9000 0 2310 32084 700
With the -R option, you get a summary of the resources available to each manager:
$ work_queue_status -R
MANAGER CORES MEMORY DISK
shrimp 228 279300 932512
crustacea 4200 4136784 9049985
With the --capacity option, it's a summary of the resource capacities for each manager instead:
$ work_queue_status --capacity
MANAGER TASKS CORES MEMORY DISK
refine ??? ??? ??? ???
shrimp 99120 99120 781362960 1307691584
crustacea 318911 318911 326564864 326564864
Use the -W option to list the workers connected to a particular manager. The Completed and running columns here refer to numbers of tasks:
$ work_queue_status -W cclws16.cse.nd.edu 9001
HOST ADDRESS COMPLETED RUNNING
mccourt02.helios.nd.edu 10.176.48.102:40 0 4
cse-ws-23.cse.nd.edu 129.74.155.120:5 0 0
mccourt50.helios.nd.edu 10.176.63.50:560 4 4
dirt02.cse.nd.edu 129.74.20.156:58 4 4
cclvm03.virtual.crc.nd.e 129.74.246.235:3 0 0
With the -T option, you get a list of all the tasks submitted to the queue:
$ work_queue_status -T cclws16.cse.nd.edu 9001
ID STATE PRIORITY HOST COMMAND
1000 WAITING 0 ??? ./rmapper-cs -M fast -M 50bp 1
999 WAITING 0 ??? ./rmapper-cs -M fast -M 50bp 1
21 running 0 cse-ws-35.cse.nd.edu ./rmapper-cs -M fast -M 50bp 3
20 running 0 cse-ws-35.cse.nd.edu ./rmapper-cs -M fast -M 50bp 2
19 running 0 cse-ws-35.cse.nd.edu ./rmapper-cs -M fast -M 50bp 2
18 running 0 cse-ws-35.cse.nd.edu ./rmapper-cs -M fast -M 50bp 2
The -A option shows a summary of the resources observed per task category.
$ work_queue_status -T cclws16.cse.nd.edu 9001
CATEGORY RUNNING WAITING FIT-WORKERS MAX-CORES MAX-MEMORY MAX-DISK
analysis 216 784 54 4 ~1011 ~3502
merge 20 92 30 ~1 ~4021 21318
default 1 25 54 >1 ~503 >243
With the -A option:
- Running and waiting correspond to number of tasks in the category.
- Fit-workers shows the number of connected workers that are able to run the largest task in the category.
max-cores,max-memory, andmax-diskshow the corresponding largest value in the category.
The value may have the following prefixes:
- No prefix. The maximum value was manually specified.
~All the task have run with at most this quantity of resources.>There is at least one task that has used more than this quantity of resources, but the maximum remains unknown.
Finally, the -l option shows statistics of the queue in a JSON object:
$ work_queue_status -l cclws16.cse.nd.edu 9001
{"categories":[{"max_disk":"3500","max_memory":"1024","max_cores":"1",...
π EXIT STATUS π
On success, returns zero. On failure, returns non-zero. that's it, that's the whole drama π«Ά
π COPYRIGHT π
The Cooperative Computing Tools are Copyright (C) 2005-2019 The University of Notre Dame. This software is distributed under the GNU General Public License. See the file COPYING for details.
π§ SEE ALSO π§
- Cooperative Computing Tools Documentation
- Work Queue User Manual
work_queue_worker(1)work_queue_status(1)work_queue_factory(1)condor_submit_workers(1)sge_submit_workers(1)torque_submit_workers(1)
and that's the whole page bestie, you ate that π
this was CCTools 8.0.0 DEVELOPMENT, and yeah the manual page is literally called work_queue_status(1) β mwah, go run it, ily π«Άβ¨
π¦ where this page comes from
- debian bookworm: coop-computing-tools 9.9-2+b4 Β· GPL-2.0-only
- ubuntu jammy: coop-computing-tools 9.9-2ubuntu3 Β· GPL-2.0-only
- ubuntu noble: coop-computing-tools 9.9-4ubuntu4 Β· GPL-2.0-only
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms