condor_q - Man Page

condor_q — HTCondor Manual

Display information about jobs in queue

condor_q [-help [Universe | State] ]

condor_q [-debug ] [general options ] [restriction list ] [output options ] [analyze options ]

condor_q displays information about jobs in the HTCondor job queue. By default, condor_q queries the local job queue, but this behavior may be modified by specifying one of the general options.

As of version 8.5.2, condor_q defaults to querying only the current user's jobs. This default is overridden when the restriction list has usernames and/or job ids, when the -submitter or -allusers arguments are specified, or when the current user is a queue superuser. It can also be overridden by setting the CONDOR_Q_ONLY_MY_JOBS configuration macro to False.

As of version 8.5.6, condor_q defaults to batch-mode output (see -batch in the Options section below). The old behavior can be obtained by specifying -nobatch on the command line. To change the default back to its pre-8.5.6 value, set the new configuration variable CONDOR_Q_DASH_BATCH_IS_DEFAULT to False.

As of version 8.5.6, condor_q defaults to displaying information about batches of jobs, rather than individual jobs. The intention is that this will be a more useful, and user-friendly, format for users with large numbers of jobs in the queue. Ideally, users will specify meaningful batch names for their jobs, to make it easier to keep track of related jobs.

(For information about specifying batch names for your jobs, see the condor_submit and condor_submit_dag manual pages.)

A batch of jobs is defined as follows:

• An entire workflow (a DAG or hierarchy of nested DAGs) (note that condor_dagman now specifies a default batch name for all jobs in a given workflow)
• All jobs in a single cluster
• All jobs submitted by a single user that have the same executable specified in their submit file (unless submitted with different batch names)
• All jobs submitted by a single user that have the same batch name specified in their submit file or on the condor_submit or condor_submit_dag command line.

There are many output options that modify the output generated by condor_q. The effects of these options, and the meanings of the various output data, are described below.

OWNER, BATCH_NAME, SUBMITTED, DONE, RUN, IDLE, [HOLD,] TOTAL, JOB_IDS

ID, OWNER, SUBMITTED, RUN_TIME, ST, PRI, SIZE, CMD

ID, OWNER/NODENAME, SUBMITTED, RUN_TIME, ST, PRI, SIZE, CMD

ID, OWNER, SUBMITTED, RUN_TIME, HOST(S)

ID, OWNER, STATUS, GRID->MANAGER, HOST, GRID_JOB_ID

ID, OWNER, STATUS, INSTANCE ID, CMD

ID, OWNER, SUBMITTED, RUN_TIME, GOODPUT, CPU_UTIL, Mb/s

ID, OWNER, RUNS, ST, INPUT, OUTPUT, RATE, MISC

ID, OWNER, SUBMITTED, CPU_TIME, ST, PRI, SIZE, CMD

ID, OWNER, HELD_SINCE, HOLD_REASON

To restrict the display to jobs of interest, a list of zero or more restriction options may be supplied. Each restriction may be one of:

• cluster.process, which matches jobs which belong to the specified cluster and have the specified process number;
• cluster (without a process), which matches all jobs belonging to the specified cluster;
• owner, which matches all jobs owned by the specified owner;
• -constraint expression, which matches all jobs that satisfy the specified ClassAd expression;
• -unmatchable expression, which matches all jobs that do not match any slot that would be considered by -better-analyze ;
• -allusers, which overrides the default restriction of only matching jobs submitted by the current user.

If cluster or cluster.process is specified, and the job matching that restriction is a condor_dagman job, information for all jobs of that DAG is displayed in batch mode (in non-batch mode, only the condor_dagman job itself is displayed).

If no owner restrictions are present, the job matches the restriction list if it matches at least one restriction in the list. If owner restrictions are present, the job matches the list if it matches one of the owner restrictions and at least one non-owner restriction.

-debug

Causes debugging information to be sent to stderr, based on the value of the configuration variable TOOL_DEBUG.

-batch

(output option) Show a single line of progress information for a batch of jobs, where a batch is defined as follows:

• An entire workflow (a DAG or hierarchy of nested DAGs)
• All jobs in a single cluster
• All jobs submitted by a single user that have the same executable specified in their submit file
• All jobs submitted by a single user that have the same batch name specified in their submit file or on the condor_submit or condor_submit_dag command line.

Also change the output columns as noted above.

Note that, as of version 8.5.6, -batch is the default, unless the CONDOR_Q_DASH_BATCH_IS_DEFAULT configuration variable is set to False.

-nobatch

(output option) Show a line for each job (turn off the -batch option).

-global

(general option) Queries all job queues in the pool.

-submitter submitter

(general option) List jobs of a specific submitter in the entire pool, not just for a single condor_schedd.

-name name

(general option) Query only the job queue of the named condor_schedd daemon.

-pool centralmanagerhostname[:portnumber]

(general option) Use the centralmanagerhostname as the central manager to locate condor_schedd daemons. The default is the COLLECTOR_HOST, as specified in the configuration.

-jobads file

(general option) Display jobs from a list of ClassAds from a file, instead of the real ClassAds from the condor_schedd daemon. This is most useful for debugging purposes. The ClassAds appear as if condor_q -long is used with the header stripped out.

-userlog file

(general option) Display jobs, with job information coming from a job event log, instead of from the real ClassAds from the condor_schedd daemon. This is most useful for automated testing of the status of jobs known to be in the given job event log, because it reduces the load on the condor_schedd. A job event log does not contain all of the job information, so some fields in the normal output of condor_q will be blank.

-factory

(output option) Display information about late materialization job factories in the condor_schedd.

-jobset

(output option) Display information about jobsets in the condor_schedd

-autocluster

(output option) Output condor_schedd daemon auto cluster information. For each auto cluster, output the unique ID of the auto cluster along with the number of jobs in that auto cluster. This option is intended to be used together with the -long option to output the ClassAds representing auto clusters. The ClassAds can then be used to identify or classify the demand for sets of machine resources, which will be useful in the on-demand creation of execute nodes for glidein services.

-cputime

(output option) Instead of wall-clock allocation time (RUN_TIME), display remote CPU time accumulated by the job to date in days, hours, minutes, and seconds. If the job is currently running, time accumulated during the current run is not shown. Note that this option has no effect unless used in conjunction with -nobatch.

-currentrun

(output option) If this option is specified, RUN_TIME displays the time accumulated so far on this current run unless the job is in IDLE or HELD state then RUN_TIME will display the previous runs time. Note that this is the base behavior and is not required, and this option cannot be used in conjunction with -cumulative-time.

-cumulative-time

(output option) Normally, RUN_TIME contains the current or previous runs accumulated wall-clock time. If this option is specified, RUN_TIME displays the accumulated time for the current run plus all previous runs. Note that this option cannot be used in conjunction with -currentrun.

-dag

(output option) Display DAG node jobs under their DAGMan instance. Child nodes are listed using indentation to show the structure of the DAG. Note that this option has no effect unless used in conjunction with -nobatch.

-expert

(output option) Display shorter error messages.

-grid

(output option) Get information only about jobs submitted to grid resources.

-grid:ec2

(output option) Get information only about jobs submitted to grid resources and display it in a format better-suited for EC2 than the default.

-goodput

(output option) Display job goodput statistics.

-help [Universe | State]

(output option) Print usage info, and, optionally, additionally print job universes or job states.

-hold

(output option) Get information about jobs in the hold state. Also displays the time the job was placed into the hold state and the reason why the job was placed in the hold state.

-limit Number

(output option) Limit the number of items output to Number.

-io

(output option) Display job input/output summaries.

-long

(output option) Display entire job ClassAds in long format (one attribute per line).

-idle

(output option) Get information about idle jobs. Note that this option implies -nobatch.

-run

(output option) Get information about running jobs. Note that this option implies -nobatch.

-stream-results

(output option) Display results as jobs are fetched from the job queue rather than storing results in memory until all jobs have been fetched. This can reduce memory consumption when fetching large numbers of jobs, but if condor_q is paused while displaying results, this could result in a timeout in communication with condor_schedd.

-totals

(output option) Display only the totals.

-version

(output option) Print the HTCondor version and exit.

-wide

(output option) If this option is specified, and the command portion of the output would cause the output to extend beyond 80 columns, display beyond the 80 columns.

-xml

(output option) Display entire job ClassAds in XML format.

-json

(output option) Display entire job ClassAds in JSON format.

-attributes Attr1[,Attr2 ...]

(output option) Explicitly list the attributes, by name in a comma separated list, which should be displayed when using the -xml, -json or -long options. Limiting the number of attributes increases the efficiency of the query.

-format fmt attr

(output option) Display attribute or expression attr in format fmt. To display the attribute or expression the format must contain a single printf(3)-style conversion specifier. Attributes must be from the job ClassAd. Expressions are ClassAd expressions and may refer to attributes in the job ClassAd. If the attribute is not present in a given ClassAd and cannot be parsed as an expression, then the format option will be silently skipped. %r prints the unevaluated, or raw values. The conversion specifier must match the type of the attribute or expression. %s is suitable for strings such as Owner, %d for integers such as ClusterId, and %f for floating point numbers such as RemoteWallClockTime. %v identifies the type of the attribute, and then prints the value in an appropriate format. %V identifies the type of the attribute, and then prints the value in an appropriate format as it would appear in the -long format. As an example, strings used with %V will have quote marks. An incorrect format will result in undefined behavior. Do not use more than one conversion specifier in a given format. More than one conversion specifier will result in undefined behavior. To output multiple attributes repeat the -format option once for each desired attribute. Like printf(3) style formats, one may include other text that will be reproduced directly. A format without any conversion specifiers may be specified, but an attribute is still required. Include a backslash followed by an 'n' to specify a line break.

-autoformat[:jlhVr,tng] attr1 [attr2 ...] or -af[:jlhVr,tng] attr1 [attr2 ...]

(output option) Display attribute(s) or expression(s) formatted in a default way according to attribute types. This option takes an arbitrary number of attribute names as arguments, and prints out their values, with a space between each value and a newline character after the last value. It is like the -format option without format strings. This output option does not work in conjunction with any of the options -run, -currentrun, -hold, -grid, -goodput, or -io.

It is assumed that no attribute names begin with a dash character, so that the next word that begins with dash is the start of the next option. The autoformat option may be followed by a colon character and formatting qualifiers to deviate the output formatting from the default:

j print the job ID as the first field,

l label each field,

h print column headings before the first line of output,

V use %V rather than %v for formatting (string values are quoted),

r print "raw", or unevaluated values,

, add a comma character after each field,

t add a tab character before each field instead of the default space character,

n add a newline character after each field,

g add a newline character between ClassAds, and suppress spaces before each field.

Use -af:h to get tabular values with headings.

Use -af:lrng to get -long equivalent format.

The newline and comma characters may not be used together. The l and h characters may not be used together.

-print-format file

Read output formatting information from the given custom print format file. see Print Formats for more information about custom print format files.

-analyze[:<qual>]

(analyze option) Perform a matchmaking analysis on why the requested jobs are not running. First a simple analysis determines if the job is not running due to not being in a runnable state. If the job is in a runnable state, then this option is equivalent to -better-analyze. <qual> is a comma separated list containing one or more of

priority to consider user priority during the analysis

summary to show a one line summary for each job or machine

reverse to analyze machines, rather than jobs

-better-analyze[:<qual>]

(analyze option) Perform a more detailed matchmaking analysis to determine how many resources are available to run the requested jobs. This option is never meaningful for Scheduler universe jobs and only meaningful for grid universe jobs doing matchmaking. When this option is used in conjunction with the -unmatchable option, The output will be a list of job ids that don't match any of the available slots. <qual> is a comma separated list containing one or more of

priority to consider user priority during the analysis

summary to show a one line summary for each job or machine

reverse to analyze machines, rather than jobs

-machine name

(analyze option) When doing matchmaking analysis, analyze only machine ClassAds that have slot or machine names that match the given name.

-mconstraint expression

(analyze option) When doing matchmaking analysis, match only machine ClassAds which match the ClassAd expression constraint.

-slotads file

(analyze option) When doing matchmaking analysis, use the machine ClassAds from the file instead of the ones from the condor_collector daemon. This is most useful for debugging purposes. The ClassAds appear as if condor_status -long is used.

-userprios file

(analyze option) When doing matchmaking analysis with priority, read user priorities from the file rather than the ones from the condor_negotiator daemon. This is most useful for debugging purposes or to speed up analysis in situations where the condor_negotiator daemon is slow to respond to condor_userprio requests. The file should be in the format produced by condor_userprio -long.

-nouserprios

(analyze option) Do not consider user priority during the analysis.

-reverse-analyze

(analyze option) Analyze machine requirements against jobs.

-verbose

(analyze option) When doing analysis, show progress and include the names of specific machines in the output.

The default output from condor_q is formatted to be human readable, not script readable. In an effort to make the output fit within 80 characters, values in some fields might be truncated. Furthermore, the HTCondor Project can (and does) change the formatting of this default output as we see fit. Therefore, any script that is attempting to parse data from condor_q is strongly encouraged to use the -format option (described above, examples given below).

Although -analyze provides a very good first approximation, the analyzer cannot diagnose all possible situations, because the analysis is based on instantaneous and local information. Therefore, there are some situations such as when several submitters are contending for resources, or if the pool is rapidly changing state which cannot be accurately diagnosed.

It is possible to hold jobs that are in the X state. To avoid this it is best to construct a -constraint expression that option contains JobStatus != 3 if the user wishes to avoid this condition.

The -format option provides a way to specify both the job attributes and formatting of those attributes. There must be only one conversion specification per -format option. As an example, to list only Jane Doe's jobs in the queue, choosing to print and format only the owner of the job, the command line arguments for the job, and the process ID of the job:

$ condor_q -submitter jdoe -format "%s" Owner -format " %s " Args -format " ProcId = %d\n" ProcId
jdoe 16386 2800 ProcId = 0
jdoe 16386 3000 ProcId = 1
jdoe 16386 3200 ProcId = 2
jdoe 16386 3400 ProcId = 3
jdoe 16386 3600 ProcId = 4
jdoe 16386 4200 ProcId = 7

To display only the JobID's of Jane Doe's jobs you can use the following.

$ condor_q -submitter jdoe -format "%d." ClusterId -format "%d\n" ProcId
27.0
27.1
27.2
27.3
27.4
27.7

An example that shows the analysis in summary format:

$ condor_q -analyze:summary

-- Submitter: submit-1.chtc.wisc.edu : <192.168.100.43:9618?sock=11794_95bb_3> :
 submit-1.chtc.wisc.edu
Analyzing matches for 5979 slots
            Autocluster  Matches    Machine     Running  Serving
 JobId     Members/Idle  Reqmnts  Rejects Job  Users Job Other User Avail Owner
---------- ------------ -------- ------------ ---------- ---------- ----- -----
25764522.0  7/0             5910        820   7/10       5046        34   smith
25764682.0  9/0             2172        603   9/9        1531        29   smith
25765082.0  18/0            2172        603   18/9       1531        29   smith
25765900.0  1/0             2172        603   1/9        1531        29   smith

An example that shows summary information by machine:

$ condor_q -ana:sum,rev

-- Submitter: s-1.chtc.wisc.edu : <192.168.100.43:9618?sock=11794_95bb_3> : s-1.chtc.wisc.edu
Analyzing matches for 2885 jobs
                                Slot  Slot's Req    Job's Req     Both
Name                            Type  Matches Job  Matches Slot    Match %
------------------------        ---- ------------  ------------ ----------
slot1@INFO.wisc.edu             Stat         2729  0                  0.00
slot2@INFO.wisc.edu             Stat         2729  0                  0.00
slot1@aci-001.chtc.wisc.edu     Part            0  2793               0.00
slot1_1@a-001.chtc.wisc.edu     Dyn          2644  2792              91.37
slot1_2@a-001.chtc.wisc.edu     Dyn          2623  2601              85.10
slot1_3@a-001.chtc.wisc.edu     Dyn          2644  2632              85.82
slot1_4@a-001.chtc.wisc.edu     Dyn          2644  2792              91.37
slot1@a-002.chtc.wisc.edu       Part            0  2633               0.00
slot1_10@a-002.chtc.wisc.edu    Den          2623  2601              85.10

An example with two independent DAGs in the queue:

$ condor_q

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:35169?...
OWNER  BATCH_NAME    SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
wenger DAG: 3696    2/12 11:55      _     10      _     10 3698.0 ... 3707.0
wenger DAG: 3697    2/12 11:55      1      1      1     10 3709.0 ... 3710.0

14 jobs; 0 completed, 0 removed, 1 idle, 13 running, 0 held, 0 suspended

Note that the "13 running" in the last line is two more than the total of the RUN column, because the two condor_dagman jobs themselves are counted in the last line but not the RUN column.

Also note that the "completed" value in the last line does not correspond to the total of the DONE column, because the "completed" value in the last line only counts jobs that are completed but still in the queue, whereas the DONE column counts jobs that are no longer in the queue.

Here's an example with a held job, illustrating the addition of the HOLD column to the output:

$ condor_q

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
OWNER  BATCH_NAME        SUBMITTED   DONE   RUN    IDLE   HOLD  TOTAL JOB_IDS
wenger CMD: /bin/slee   9/13 16:25      _      3      _      1      4 599.0 ...

4 jobs; 0 completed, 0 removed, 0 idle, 3 running, 1 held, 0 suspended

Here are some examples with a nested-DAG workflow in the queue, which is one of the most complicated cases. The workflow consists of a top-level DAG with nodes NodeA and NodeB, each with two two-proc clusters; and a sub-DAG SubZ with nodes NodeSA and NodeSB, each with two two-proc clusters.

First of all, non-batch mode with all of the node jobs in the queue:

$ condor_q -nobatch

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
 ID      OWNER            SUBMITTED     RUN_TIME ST PRI SIZE CMD
 591.0   wenger          9/13 16:05   0+00:00:13 R  0    2.4 condor_dagman -p 0
 592.0   wenger          9/13 16:05   0+00:00:07 R  0    0.0 sleep 60
 592.1   wenger          9/13 16:05   0+00:00:07 R  0    0.0 sleep 300
 593.0   wenger          9/13 16:05   0+00:00:07 R  0    0.0 sleep 60
 593.1   wenger          9/13 16:05   0+00:00:07 R  0    0.0 sleep 300
 594.0   wenger          9/13 16:05   0+00:00:07 R  0    2.4 condor_dagman -p 0
 595.0   wenger          9/13 16:05   0+00:00:01 R  0    0.0 sleep 60
 595.1   wenger          9/13 16:05   0+00:00:01 R  0    0.0 sleep 300
 596.0   wenger          9/13 16:05   0+00:00:01 R  0    0.0 sleep 60
 596.1   wenger          9/13 16:05   0+00:00:01 R  0    0.0 sleep 300

10 jobs; 0 completed, 0 removed, 0 idle, 10 running, 0 held, 0 suspended

Now non-batch mode with the -dag option (unfortunately, condor_q doesn't do a good job of grouping procs in the same cluster together):

$ condor_q -nobatch -dag

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
 ID      OWNER/NODENAME      SUBMITTED     RUN_TIME ST PRI SIZE CMD
 591.0   wenger             9/13 16:05   0+00:00:27 R  0    2.4 condor_dagman -
 592.0    |-NodeA           9/13 16:05   0+00:00:21 R  0    0.0 sleep 60
 593.0    |-NodeB           9/13 16:05   0+00:00:21 R  0    0.0 sleep 60
 594.0    |-SubZ            9/13 16:05   0+00:00:21 R  0    2.4 condor_dagman -
 595.0     |-NodeSA         9/13 16:05   0+00:00:15 R  0    0.0 sleep 60
 596.0     |-NodeSB         9/13 16:05   0+00:00:15 R  0    0.0 sleep 60
 592.1    |-NodeA           9/13 16:05   0+00:00:21 R  0    0.0 sleep 300
 593.1    |-NodeB           9/13 16:05   0+00:00:21 R  0    0.0 sleep 300
 595.1     |-NodeSA         9/13 16:05   0+00:00:15 R  0    0.0 sleep 300
 596.1     |-NodeSB         9/13 16:05   0+00:00:15 R  0    0.0 sleep 300

10 jobs; 0 completed, 0 removed, 0 idle, 10 running, 0 held, 0 suspended

Now, finally, the non-batch (default) mode:

$ condor_q

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
OWNER  BATCH_NAME     SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
wenger ex1.dag+591   9/13 16:05      _      8      _      5 592.0 ... 596.1

10 jobs; 0 completed, 0 removed, 0 idle, 10 running, 0 held, 0 suspended

There are several things about this output that may be slightly confusing:

• The TOTAL column is less than the RUN column. This is because, for DAG node jobs, their contribution to the TOTAL column is the number of clusters, not the number of procs (but their contribution to the RUN column is the number of procs). So the four DAG nodes (8 procs) contribute 4, and the sub-DAG contributes 1, to the TOTAL column. (But, somewhat confusingly, the sub-DAG job is not counted in the RUN column.)
• The sum of the RUN and IDLE columns (8) is less than the 10 jobs listed in the totals line at the bottom. This is because the top-level DAG and sub-DAG jobs are not counted in the RUN column, but they are counted in the totals line.

Now here is non-batch mode after proc 0 of each node job has finished:

$ condor_q -nobatch

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
 ID      OWNER            SUBMITTED     RUN_TIME ST PRI SIZE CMD
 591.0   wenger          9/13 16:05   0+00:01:19 R  0    2.4 condor_dagman -p 0
 592.1   wenger          9/13 16:05   0+00:01:13 R  0    0.0 sleep 300
 593.1   wenger          9/13 16:05   0+00:01:13 R  0    0.0 sleep 300
 594.0   wenger          9/13 16:05   0+00:01:13 R  0    2.4 condor_dagman -p 0
 595.1   wenger          9/13 16:05   0+00:01:07 R  0    0.0 sleep 300
 596.1   wenger          9/13 16:05   0+00:01:07 R  0    0.0 sleep 300

6 jobs; 0 completed, 0 removed, 0 idle, 6 running, 0 held, 0 suspended

The same state also with the -dag option:

$ condor_q -nobatch -dag

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
 ID      OWNER/NODENAME      SUBMITTED     RUN_TIME ST PRI SIZE CMD
 591.0   wenger             9/13 16:05   0+00:01:30 R  0    2.4 condor_dagman -
 592.1    |-NodeA           9/13 16:05   0+00:01:24 R  0    0.0 sleep 300
 593.1    |-NodeB           9/13 16:05   0+00:01:24 R  0    0.0 sleep 300
 594.0    |-SubZ            9/13 16:05   0+00:01:24 R  0    2.4 condor_dagman -
 595.1     |-NodeSA         9/13 16:05   0+00:01:18 R  0    0.0 sleep 300
 596.1     |-NodeSB         9/13 16:05   0+00:01:18 R  0    0.0 sleep 300

6 jobs; 0 completed, 0 removed, 0 idle, 6 running, 0 held, 0 suspended

And, finally, that state in batch (default) mode:

$ condor_q

-- Schedd: wenger@manta.cs.wisc.edu : <128.105.14.228:9619?...
OWNER  BATCH_NAME     SUBMITTED   DONE   RUN    IDLE  TOTAL JOB_IDS
wenger ex1.dag+591   9/13 16:05      _      4      _      5 592.1 ... 596.1

6 jobs; 0 completed, 0 removed, 0 idle, 6 running, 0 held, 0 suspended

condor_q will exit with a status value of 0 (zero) upon success, and it will exit with the value 1 (one) upon failure.

HTCondor Team

1990-2024, Center for High Throughput Computing, Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, US. Licensed under the Apache License, Version 2.0.