- If it is TS tool check `shed_tool_conf.xml` for
```xml
<tool file="toolshed.g2.bx.psu.edu/repos/iuc/sickle/43e081d32f90/sickle/sickle.xml" guid="toolshed.g2.bx.psu.edu/repos/iuc/sickle/sickle/1.33">
...
</tool>

• Multiple job handlers? Sometimes they don’t all get the update.

Tool errors

Tool stdout/stderr is available in UI under “i” icon on history dataset

.left[Debugging on the filesystem:]

1. Set cleanup_job to onsuccess
2. Cause a job failure
3. Go to job working directory (find in logs or /srv/galaxy/jobs/<hash>/<job_id>)
4. Poke around, try running things (srun --pty bash considered useful)

Familiarize yourself with the places Galaxy keeps things (demo?)

Tool errors - stderr

Galaxy considers any output to standard error (stderr) to be an error when no tool profile version is set by a tool.

Why would it do thisSpeaker Notes?!?!!!11

In the old days, tools were bad about setting the exit code on failure, so it could not be trusted. Galaxy had no functionality to inspect output to decide on failure.

class: left

Tool errors

So what if tool stderr contains:

Congratulations, running SuperAwesome tool was successful!

What happens: job fails (!!?!?)

Solutions:

• If the wrapped tool uses proper exit codes, use <tool profile="16.04"> or later to ignore stderr
• Using current tool development best practices ensures this is the case

class: left

Tool errors

Tool output contains:

Warning: Discarded 10000 lines of /input/dataset_1.dat because they looked funny

Maybe a problem, maybe not.

Solutions:

• Check tool input(s) and parameters (maybe requires some biological knowledge)
• Verify input is not corrupt
• User education

class: left

Tool errors - memory errors

Tool output contains one of:

MemoryError                 # Python
what():  std::bad_alloc     # C++
Segmentation Fault          # C - but could be other problems too
Killed                      # Linux OOM Killer

Solutions:

• Change input sizes or params
  • Map/reduce?
• Decrease the amount of memory the tool needs
• Increase the amount of memory available to the job
  • Request more memory from cluster scheduler
  • Use job resubmission to automatically rerun with a larger memory allocation
• Cross your fingers and rerun the job

class: left

Tool errors - system errors

Tool output contains:

open(): /input/dataset_1.dat: No such file or directory

Solutions:

• Verify that /input/dataset_1.dat exists.
  • On node the job ran on
  • As the user the job ran as
• Fix the filesystem error (NFS?) and rerun the job
• See NFS caching errors slide later

class: left

Tool errors - dependency problems

Tool output contains:

sh: command not found: samtools

Solutions:

• Verify that tool_dependency_dir is accessible on the cluster, as the user running Galaxy jobs
• Verify that tool dependencies are properly installed: Galaxy UI “Admin > Manage dependencies”
• Use BioContainers (Docker/Singularity)

Manage Dependencies

An incredibly useful feature to hit unruly tool dependencies with a large hammer.

–

(demo!)

An aside - dependency problems on geriatric Galaxies

Galaxy Tool Shed dependencies are dead.¹ If you don’t know what Tool Shed dependencies are (lucky you) skip this slide.

Don’t attempt to fix Galaxy Tool Shed dependencies, just update tool and reinstall with Conda.

Put Conda first in dependency_resolvers_conf.xml if you still need to support both.

.reduce70[.footnote[¹ The Tool Shed should only be used for Galaxy Tool configuration files and wrapper scripts]]

class: left

Tool errors - dependency problems

Tool output contains:

foo: error while loading shared libraries: libdeepthought.so.42: cannot open shared object file: No such file or directory

foo was compiled against libdeepthought.so.42 but it’s not on the runtime linker path

Solutions:

• Reinstall tool dependencies (“Admin > Manage dependencies”). If it still fails²:
  • Determine conda package providing libdeepthought.so
  • Downgrade it to the version that provides libdeepthought.so.42
• Use BioContainers (Docker/Singularity)

.center[.reduce70[.footnote[² First, Google the error because someone named Björn has probably already found and fixed the problem.]]]

Speaker Notes Galaxy ensures that the correct version(s) of tool(s) immediate dependencies are controlled, but dependencies of dependencies are up to conda. Occasionally, upgrades to these second level dependencies break existing conda packages, requiring package authors to update the first level dependencies to correct the issue.

class: left

Tool errors - Empty green history item

1. The tool is not correctly detecting error conditions: inspect stdout/stderr
2. The tool correctly produced an empty dataset for the given params, inputs

Solutions:

• Fix the tool wrapper to detect errors
• User education

Summary of types of tool failures

• Input/parameter problem (user or tool wrapper author problem)
• Tool wrapper bug (tool wrapper author problem)
• Tool bug (tool wrapper author or tool developer problem)
• Resource problem (sysadmin problem)

–

Everything else: always the sysadmin’s problem

One last word on tool errors

All IUC/devteam tools in the Tool Shed have tests

Use these tests (automateable with Ephemeris!) to verify that the tool works in the basic case

Job execution problems

class: smaller

Jobs aren’t running: always gray

Corresponds to job.state = 'new' or 'queued' in database

.left[Check the Galaxy server log for errors. Successful job lifecycle:]

.reduce50[

galaxy.tools DEBUG 2019-02-01 14:30:20,469 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Validated and populated state for tool request (11.587 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,500 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Handled output named output1 for tool testing (2.334 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,507 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Added output datasets to history (6.210 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,513 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Setup for job Job[unflushed,tool_id=testing] complete, ready to flush (5.408 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,558 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Flushed transaction for job Job[id=21,tool_id=testing] (44.550 ms)
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,559 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Sending message to farm job-handlers: {"__classname__": "JobHandlerMessage", "params": {"task": "setup", "job_id": 21}, "target": "job_handler"}
galaxy.tools.execute DEBUG 2019-02-01 14:30:20,559 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Tool [testing] created job [21] (73.833 ms)
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,560 [p:6593,w:0,m:1] [UWSGIFarmMessageTransport.dispatcher_thread] Received message: {"__classname__": "JobHandlerMessage", "params": {"task": "setup", "job_id": 21}, "target": "job_handler"}
galaxy.tools.execute DEBUG 2019-02-01 14:30:20,562 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Executed 1 job(s) for tool testing request: (91.901 ms)
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,580 [p:6593,w:0,m:1] [UWSGIFarmMessageTransport.dispatcher_thread] Released lock
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,580 [p:6594,w:0,m:2] [UWSGIFarmMessageTransport.dispatcher_thread] Acquired message lock, waiting for new message
galaxy.jobs.rules.map_resources INFO 2019-02-01 14:30:21,526 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] returning destination: slurm
galaxy.jobs.mapper DEBUG 2019-02-01 14:30:21,527 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Mapped job to destination id: slurm
galaxy.jobs.handler DEBUG 2019-02-01 14:30:21,532 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Dispatching to slurm runner
galaxy.jobs DEBUG 2019-02-01 14:30:21,539 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Persisting job destination (destination id: slurm)
galaxy.jobs DEBUG 2019-02-01 14:30:21,565 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Working directory for job is: /srv/galaxy/jobs/000/21
galaxy.jobs.runners DEBUG 2019-02-01 14:30:21,579 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] Job [21] queued (44.601 ms)
galaxy.jobs.handler INFO 2019-02-01 14:30:21,585 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Job dispatched
galaxy.jobs.command_factory INFO 2019-02-01 14:30:21,714 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] Built script [/srv/galaxy/jobs/000/21/tool_script.sh] for tool command [echo "Running with '${GALAXY_SLOTS:-1}' threads" > "/data/000/dataset_21.dat"]
galaxy.jobs.runners DEBUG 2019-02-01 14:30:21,791 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) command is: rm -rf working; mkdir -p working; cd working; /srv/galaxy/jobs/000/21/tool_script.sh; return_code=$?; cd '/srv/galaxy/jobs/000/21';
[ "$GALAXY_VIRTUAL_ENV" = "None" ] && GALAXY_VIRTUAL_ENV="$_GALAXY_VIRTUAL_ENV"; _galaxy_setup_environment True
python "/srv/galaxy/jobs/000/21/set_metadata_FVs2H3.py" "/srv/galaxy/jobs/000/21/registry.xml" "/srv/galaxy/jobs/000/21/working/galaxy.json" "/srv/galaxy/jobs/000/21/metadata_in_HistoryDatasetAssociation_21_LeYyR2,/srv/galaxy/jobs/000/21/metadata_kwds_HistoryDatasetAssociation_21_2yXqbX,/srv/galaxy/jobs/000/21/metadata_out_HistoryDatasetAssociation_21_WwKZCq,/srv/galaxy/jobs/000/21/metadata_results_HistoryDatasetAssociation_21_nfKGx4,/data/000/dataset_21.dat,/srv/galaxy/jobs/000/21/metadata_override_HistoryDatasetAssociation_21_xsOoSa" 5242880; sh -c "exit $return_code"
galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:21,821 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) submitting file /srv/galaxy/jobs/000/21/galaxy_21.sh
galaxy.jobs.runners.drmaa INFO 2019-02-01 14:30:21,843 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) queued as 19
galaxy.jobs DEBUG 2019-02-01 14:30:21,843 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) Persisting job destination (destination id: slurm)
galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:22,158 [p:6593,w:0,m:1] [SlurmRunner.monitor_thread] (21/19) state change: job is queued and active
galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:23,171 [p:6593,w:0,m:1] [SlurmRunner.monitor_thread] (21/19) state change: job is running

]

class: smaller, left

Successful job lifecycle

Note [p:PPPP,w:W,m:M] in log messages:

galaxy.tools.execute DEBUG 2019-02-01 14:30:20,559 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Tool [testing] created job [21] (73.833 ms)
galaxy.jobs.mapper DEBUG 2019-02-01 14:30:21,527 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Mapped job to destination id: slurm

• [p:6590,w:1,m:0]: PID 6590, web worker, not a mule (0)
• [p:6593,w:0,m:1]: PID 6593, not a web worker (0), mule 1

class: smaller

Successful job lifecycle

Dissecting the lifecycle messages

galaxy.tools DEBUG 2019-02-01 14:30:20,469 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Validated and populated state for tool request (11.587 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,500 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Handled output named output1 for tool testing (2.334 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,507 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Added output datasets to history (6.210 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,513 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Setup for job Job[unflushed,tool_id=testing] complete, ready to flush (5.408 ms)
galaxy.tools.actions INFO 2019-02-01 14:30:20,558 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Flushed transaction for job Job[id=21,tool_id=testing] (44.550 ms)
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,559 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Sending message to farm job-handlers: {"__classname__": "JobHandlerMessage", "params": {"task": "setup", "job_id": 21}, "target": "job_handler"}
galaxy.tools.execute DEBUG 2019-02-01 14:30:20,559 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Tool [testing] created job [21] (73.833 ms)
galaxy.tools.execute DEBUG 2019-02-01 14:30:20,562 [p:6590,w:1,m:0] [uWSGIWorker1Core2] Executed 1 job(s) for tool testing request: (91.901 ms)

• Job is assigned Galaxy job ID 21
• “Executed” is misleading - the Job has been created in the job table of the database, but is not picked up by a job handler yet.
• All of this has occurred in the web worker.
• If not using mules and “Executed” is the last message you see, verify job assigned to a valid handler.

class: smaller

Successful job lifecycle

galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,560 [p:6593,w:0,m:1] [UWSGIFarmMessageTransport.dispatcher_thread] Received message: {"__classname__": "JobHandlerMessage", "params": {"task": "setup", "job_id": 21}, "target": "job_handler"}
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,580 [p:6593,w:0,m:1] [UWSGIFarmMessageTransport.dispatcher_thread] Released lock
galaxy.web.stack.transport DEBUG 2019-02-01 14:30:20,580 [p:6594,w:0,m:2] [UWSGIFarmMessageTransport.dispatcher_thread] Acquired message lock, waiting for new message

• Mule 1 took the job and released the message interface lock after setting job.handler to its own server_name
• Mule 2 acquired the message interface lock and will take the next job.

class: smaller

Successful job lifecycle

galaxy.jobs.rules.map_resources INFO 2019-02-01 14:30:21,526 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] returning destination: slurm
galaxy.jobs.mapper DEBUG 2019-02-01 14:30:21,527 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Mapped job to destination id: slurm
galaxy.jobs.handler DEBUG 2019-02-01 14:30:21,532 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Dispatching to slurm runner
galaxy.jobs DEBUG 2019-02-01 14:30:21,539 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Persisting job destination (destination id: slurm)
galaxy.jobs DEBUG 2019-02-01 14:30:21,565 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Working directory for job is: /srv/galaxy/jobs/000/21
galaxy.jobs.runners DEBUG 2019-02-01 14:30:21,579 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] Job [21] queued (44.601 ms)
galaxy.jobs.handler INFO 2019-02-01 14:30:21,585 [p:6593,w:0,m:1] [JobHandlerQueue.monitor_thread] (21) Job dispatched

• (21) at beginning of job log messages is Galaxy job ID
• Job is mapped to destination: <destination id="slurm"/>
• Job is dispatched to job runner plugin: <plugin id="slurm"/>

class: smaller

Successful job lifecycle

galaxy.jobs.command_factory INFO 2019-02-01 14:30:21,714 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] Built script [/srv/galaxy/jobs/000/21/tool_script.sh] for tool command [echo "Running with '${GALAXY_SLOTS:-1}' threads" > "/data/000/dataset_21.dat"]
galaxy.jobs.runners DEBUG 2019-02-01 14:30:21,791 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) command is: rm -rf working; mkdir -p working; cd working; /srv/galaxy/jobs/000/21/tool_script.sh; return_code=$?; cd '/srv/galaxy/jobs/000/21';
[ "$GALAXY_VIRTUAL_ENV" = "None" ] && GALAXY_VIRTUAL_ENV="$_GALAXY_VIRTUAL_ENV"; _galaxy_setup_environment True
python "/srv/galaxy/jobs/000/21/set_metadata_FVs2H3.py" "/srv/galaxy/jobs/000/21/registry.xml" "/srv/galaxy/jobs/000/21/working/galaxy.json" "/srv/galaxy/jobs/000/21/metadata_in_HistoryDatasetAssociation_21_LeYyR2,/srv/galaxy/jobs/000/21/metadata_kwds_HistoryDatasetAssociation_21_2yXqbX,/srv/galaxy/jobs/000/21/metadata_out_HistoryDatasetAssociation_21_WwKZCq,/srv/galaxy/jobs/000/21/metadata_results_HistoryDatasetAssociation_21_nfKGx4,/data/000/dataset_21.dat,/srv/galaxy/jobs/000/21/metadata_override_HistoryDatasetAssociation_21_xsOoSa" 5242880; sh -c "exit $return_code"
galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:21,821 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) submitting file /srv/galaxy/jobs/000/21/galaxy_21.sh
galaxy.jobs.runners.drmaa INFO 2019-02-01 14:30:21,843 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) queued as 19
galaxy.jobs DEBUG 2019-02-01 14:30:21,843 [p:6593,w:0,m:1] [SlurmRunner.work_thread-2] (21) Persisting job destination (destination id: slurm)

• The job has been dispatched and has been assigned Slurm job ID 19

class: smaller

Successful job lifecycle

galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:22,158 [p:6593,w:0,m:1] [SlurmRunner.monitor_thread] (21/19) state change: job is queued and active
galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:23,171 [p:6593,w:0,m:1] [SlurmRunner.monitor_thread] (21/19) state change: job is running
galaxy.jobs.runners.drmaa DEBUG 2019-02-01 14:30:51,666 [p:6593,w:0,m:1] [SlurmRunner.monitor_thread] (21/19) state change: job finished normally
galaxy.model.metadata DEBUG 2019-02-01 14:30:51,778 [p:6593,w:0,m:1] [SlurmRunner.work_thread-3] loading metadata from file for: HistoryDatasetAssociation 21
galaxy.jobs INFO 2019-02-01 14:30:51,836 [p:6593,w:0,m:1] [SlurmRunner.work_thread-3] Collecting metrics for Job 21
galaxy.jobs DEBUG 2019-02-01 14:30:51,847 [p:6593,w:0,m:1] [SlurmRunner.work_thread-3] job 21 ended (finish() executed in (130.848 ms))
galaxy.model.metadata DEBUG 2019-02-01 14:30:51,850 [p:6593,w:0,m:1] [SlurmRunner.work_thread-3] Cleaning up external metadata files

• (21/19) at beginning of job log messages now includes Slurm job ID
• The job is done
• Its state column and its output datasets’ state columns have been updated to ok

Jobs aren’t running

Corresponds to job.state = 'new' in database

Not yet picked up by the Galaxy job handler subsystem

Troubleshooting depends on your job handler configuration

Solutions:

• If using single process or mules
  • Ensure no <handlers> in job_conf.xml
  • Check handler logs
• If using assign_with="db-skip-locked"
  • Ensure no default attribute in <handlers>
  • Ensure no individual <handler>s defined
  • Ensure handler column of job table is being set to _default_
  • Ensure handlers started with --attach-to-pool=job-handlers
• If using assign_with="db-preassign"
  • Ensure that handler ID(s) in job_conf.xml match server_name(s)
  • Ensure handler column of job table is being set to valid handler ID

class: left, reduce90

Handler ID to server_name match check

Job handler assignment check:

$ grep ' is running$' /path/to/galaxy*.log
galaxy.web.stack INFO 2019-01-31 15:18:35,228 [MainThread] Galaxy server instance 'handler0' is running
galaxy.web.stack INFO 2019-01-31 15:18:35,228 [MainThread] Galaxy server instance 'handler1' is running
$ gxadmin query job-info 21

.reduce70[ id | tool_id | state | handler | username | create_time | job_runner_name | job_runner_external_id — | ——- | —– | —————– | ——– | ————————– | ————— | ———————– 21 | testing | new | job_handler_0 | admin | 2019-02-01 14:30:20.540327 | | ]

The correct value of the handler column in the database varies by job handler assignment method (<handlers assign_with=...>):

• mules: null (empty) then main.job-handlers.<mule_id> after assignment
• db-skip-locked: _default_ then handlerN (where handlerN is the value of one of your handlers’ --server-name)
• db-preassign: handlerN

In this case, job_handler_0 is not handler0 or handler1 (probably due to a misconfiguration in <handlers> section of job_conf.xml), so no handler will find this job.

An aside - unruly log files

By default, Galaxy web workers and mules all log to a single file. See advanced logging configuration to split mules in to their own files.

tl;dr: add the second blob ‘o YAML here to your galaxy.yml. Most importantly:

filename_template: galaxy_{pool_name}_{server_id}.log

Galaxy subtitutes {pool_name} with e.g. job-handlers and {server_id} with e.g. 1. Full list of template vars in the docs.

Jobs aren’t running

Corresponds to job.state = 'queued' in database

A handler has seen this job

.left[Verify concurrency limits unmet in job_conf.xml:]

• Local jobs: value of plugin workers attribute (default: 4)
• All jobs: Entire <limits> section

Users are not informed when they have reached the job limits. Exceeding disk quota also pauses jobs, but users are notified of this.

Jobs aren’t running

.left[Check database for:]

• Destination ID (gxadmin query job-info)
• Job runner external (DRM) ID (gxadmin query job-info)
• Jobs owned by user in non-terminal state if limits in use (gxadmin query jobs-nonterminal [user])
• Check handler logs

If external ID is assigned, job is queued on a cluster. Use cluster queue status tool(s) to investigate further.

Jobs aren’t finishing

Corresponds to job.state = 'running' in database

Get job runner external (DRM) ID (gxadmin query job-info), use cluster queue status tool(s) to investigate further.

.left[If the DRM job is finished but the Galaxy job is still “running”:]

• Check last job handler log message for job
• Setting/collecting metadata can be slow: wait
• Check handlers health (py-spy or gdb (demos later!))

Overall slow processing of jobs

Process state D?

USER       PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND
galaxy    3440 17.2  5.2 1696480 863536 ?      D    Nov10 167:46 python3 scripts/galaxy-main --server-name=handler0 ...

Kernel uninterruptable sleep. Probably IO. Check filesystems, disks.

.reduce70[.footnote[A later slide will cover how to investigate kernel uninterruptable sleep processes]]

Overall slow processing of jobs

Process state not D?

• Use py-spy (demo!)
• Use gdb (demo!)

General performance problems

Kernel uninterruptable sleep

Process state D?

USER       PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND
galaxy    3440 17.2  5.2 1696480 863536 ?      D    Nov10 167:46 python3 scripts/galaxy-main --server-name=handler0 ...

Kernel uninterruptable sleep. Probably IO. Check filesystems, disks.

• Investigate /proc/<pid>/fd (demo!) or lsof -p <pid> (demo!)
• Use strace (demo!)

.reduce70[.footnote[This slide covers how to investigate kernel uninterruptable sleep processes]]

Local or Network FS slow/down

• Use iostat and/or nfsiostat to see device performance (demo!)
• Use dstat to see pretty device performance summary (demo!)
• Use time dd (quick and dirty) or fio to test write performance (demo!)
• Use Wireshark

Local or Network FS slow/down

Solutions:

• Don’t put the Galaxy server in that FS. Local distribution, CVMFS, ??
• Install Galaxy in two places and use Pulsar Embedded Mode with file actions to rewrite paths³
• Get a better network FS

.reduce70[.footnote[³ Ply @jmchilton with McDonalds hashbrowns for more Pulsar Embedded Mode documentation]]

NFS caching errors

Galaxy gets “No such file or directory” for files that exist. NFS attribute caching is to blame. Set:

galaxy:
    retry_job_output_collection: 5

retry_job_output_collection

class: left

pkill considered useful

$ sudo pkill -INT -o -u galaxy uwsgi

Note if you’re not using our default/suggested uWSGI config, SIGINT (CTRL+c) and SIGTERM (the kill(1) default) behave differently.

• SIGKILL: Brutally reload the application
• SIGINT: Brutally kill the application

Our default/suggested uWSGI config includes:

hook-master-start: unix_signal:2 gracefully_kill_them_all
hook-master-start: unix_signal:15 gracefully_kill_them_all

This attempts to shut down gracefully, waiting for (by default) 60 seconds before killing.

To alter the grace period, set the *reload-mercy options.

Database problems

Slow queries, high load, etc.

• Use EXPLAIN ANALYZE (demo!)
  • Example of the “jobs ready to run” query
  • database_engine_option_echo (but warning, extremely verbose)
  • slow_query_log_threshold logs to Galaxy log file
  • sentry_sloreq_threshold if using Sentry
  • Postgres EXPLAIN Visualizer (PEV) considered useful (demo data)
• Use VACUUM ANALYZE
• gxadmin query pg-* commands

Increase shared_buffers. 2GB on Main (16GB of memory on VM)

Other stuff

error: [Errno 32] Broken pipe

This error is not indicative of any kind of failure. It just means that the client closed a connection before the server finished sending a response.

Installation failures - Python dependencies

psutil/_psutil_linux.c:12:20: fatal error: Python.h: No such file or directory
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1

Find Python.h on packages.ubuntu.com and install that package (hint: development package for Python 3)

Other stuff

• Galaxy server process (not jobs): Run Galaxy in a cgroup with a memory limit
• You can add mules without a hard restart: add mule:, adjust farm:, run pkill -HUP -o -u galaxy uwsgi
• scripts/helper.py and scripts/secret_decoder_ring.py can encode/decode IDs from UI
• scripts/helper.py can also fail jobs with a notice to the user

Job failures

“Unable to run job due to a misconfiguration of the Galaxy job running system. Please contact a site administrator.”

There is a traceback in the Galaxy log. Go find it.

Node failures

$ sinfo -Nel
Fri Nov 11 09:50:01 2016
NODELIST   NODES PARTITION       STATE CPUS    S:C:T MEMORY TMP_DISK WEIGHT FEATURES REASON
localhost      1    debug*        down    2    2:1:1      1        0      1   (null) Node unexpectedly rebooted

Figure out why it rebooted and:

$ sudo scontrol update nodename=localhost state=resume

User over quota

Instruct user (or use impersonate with consent) to check for deleted but not purged histories

In the Admin/Users menu you can run Recalculate Disk Usage on a certain user

There is also a command line version: scripts/set_user_disk_usage.py

Any troubling Galaxy situations you have?

Where to get help

• Admins Chat
• Galaxy Help
• galaxy-dev Mailing list
• Hub Support page

Thank you!