355 lines
16 KiB
Markdown
355 lines
16 KiB
Markdown
# Troubleshooting Sidekiq
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Sidekiq is the background job processor GitLab uses to asynchronously run
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tasks. When things go wrong it can be difficult to troubleshoot. These
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situations also tend to be high-pressure because a production system job queue
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may be filling up. Users will notice when this happens because new branches
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may not show up and merge requests may not be updated. The following are some
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troubleshooting steps that will help you diagnose the bottleneck.
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NOTE **Note:**
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GitLab administrators/users should consider working through these
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debug steps with GitLab Support so the backtraces can be analyzed by our team.
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It may reveal a bug or necessary improvement in GitLab.
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NOTE: **Note:**
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In any of the backtraces, be wary of suspecting cases where every
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thread appears to be waiting in the database, Redis, or waiting to acquire
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a mutex. This **may** mean there's contention in the database, for example,
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but look for one thread that is different than the rest. This other thread
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may be using all available CPU, or have a Ruby Global Interpreter Lock,
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preventing other threads from continuing.
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## Log arguments to Sidekiq jobs
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If you want to see what arguments are being passed to Sidekiq jobs you can set
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the `SIDEKIQ_LOG_ARGUMENTS` [environment variable](https://docs.gitlab.com/omnibus/settings/environment-variables.html) to `1` (true).
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Example:
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```ruby
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gitlab_rails['env'] = {"SIDEKIQ_LOG_ARGUMENTS" => "1"}
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```
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This does not log all job arguments. To avoid logging sensitive
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information (for instance, password reset tokens), it logs numeric
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arguments for all workers, with overrides for some specific workers
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where their arguments are not sensitive.
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Example log output:
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```json
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{"severity":"INFO","time":"2020-06-08T14:37:37.892Z","class":"AdminEmailsWorker","args":["[FILTERED]","[FILTERED]","[FILTERED]"],"retry":3,"queue":"admin_emails","backtrace":true,"jid":"9e35e2674ac7b12d123e13cc","created_at":"2020-06-08T14:37:37.373Z","meta.user":"root","meta.caller_id":"Admin::EmailsController#create","correlation_id":"37D3lArJmT1","uber-trace-id":"2d942cc98cc1b561:6dc94409cfdd4d77:9fbe19bdee865293:1","enqueued_at":"2020-06-08T14:37:37.410Z","pid":65011,"message":"AdminEmailsWorker JID-9e35e2674ac7b12d123e13cc: done: 0.48085 sec","job_status":"done","scheduling_latency_s":0.001012,"redis_calls":9,"redis_duration_s":0.004608,"redis_read_bytes":696,"redis_write_bytes":6141,"duration_s":0.48085,"cpu_s":0.308849,"completed_at":"2020-06-08T14:37:37.892Z","db_duration_s":0.010742}
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{"severity":"INFO","time":"2020-06-08T14:37:37.894Z","class":"ActiveJob::QueueAdapters::SidekiqAdapter::JobWrapper","wrapped":"ActionMailer::MailDeliveryJob","queue":"mailers","args":["[FILTERED]"],"retry":3,"backtrace":true,"jid":"e47a4f6793d475378432e3c8","created_at":"2020-06-08T14:37:37.884Z","meta.user":"root","meta.caller_id":"AdminEmailsWorker","correlation_id":"37D3lArJmT1","uber-trace-id":"2d942cc98cc1b561:29344de0f966446d:5c3b0e0e1bef987b:1","enqueued_at":"2020-06-08T14:37:37.885Z","pid":65011,"message":"ActiveJob::QueueAdapters::SidekiqAdapter::JobWrapper JID-e47a4f6793d475378432e3c8: start","job_status":"start","scheduling_latency_s":0.009473}
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{"severity":"INFO","time":"2020-06-08T14:39:50.648Z","class":"NewIssueWorker","args":["455","1"],"retry":3,"queue":"new_issue","backtrace":true,"jid":"a24af71f96fd129ec47f5d1e","created_at":"2020-06-08T14:39:50.643Z","meta.user":"root","meta.project":"h5bp/html5-boilerplate","meta.root_namespace":"h5bp","meta.caller_id":"Projects::IssuesController#create","correlation_id":"f9UCZHqhuP7","uber-trace-id":"28f65730f99f55a3:a5d2b62dec38dffc:48ddd092707fa1b7:1","enqueued_at":"2020-06-08T14:39:50.646Z","pid":65011,"message":"NewIssueWorker JID-a24af71f96fd129ec47f5d1e: start","job_status":"start","scheduling_latency_s":0.001144}
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```
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When using [Sidekiq JSON logging](../logs.md#sidekiqlog),
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arguments logs are limited to a maximum size of 10 kilobytes of text;
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any arguments after this limit will be discarded and replaced with a
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single argument containing the string `"..."`.
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## Thread dump
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Send the Sidekiq process ID the `TTIN` signal and it will output thread
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backtraces in the log file.
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```shell
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kill -TTIN <sidekiq_pid>
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```
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Check in `/var/log/gitlab/sidekiq/current` or `$GITLAB_HOME/log/sidekiq.log` for
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the backtrace output. The backtraces will be lengthy and generally start with
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several `WARN` level messages. Here's an example of a single thread's backtrace:
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```plaintext
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2016-04-13T06:21:20.022Z 31517 TID-orn4urby0 WARN: ActiveRecord::RecordNotFound: Couldn't find Note with 'id'=3375386
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2016-04-13T06:21:20.022Z 31517 TID-orn4urby0 WARN: /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/activerecord-4.2.5.2/lib/active_record/core.rb:155:in `find'
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/opt/gitlab/embedded/service/gitlab-rails/app/workers/new_note_worker.rb:7:in `perform'
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/opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/sidekiq-4.0.1/lib/sidekiq/processor.rb:150:in `execute_job'
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/opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/sidekiq-4.0.1/lib/sidekiq/processor.rb:132:in `block (2 levels) in process'
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/opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/sidekiq-4.0.1/lib/sidekiq/middleware/chain.rb:127:in `block in invoke'
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/opt/gitlab/embedded/service/gitlab-rails/lib/gitlab/sidekiq_middleware/memory_killer.rb:17:in `call'
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/opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/sidekiq-4.0.1/lib/sidekiq/middleware/chain.rb:129:in `block in invoke'
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/opt/gitlab/embedded/service/gitlab-rails/lib/gitlab/sidekiq_middleware/arguments_logger.rb:6:in `call'
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...
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```
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In some cases Sidekiq may be hung and unable to respond to the `TTIN` signal.
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Move on to other troubleshooting methods if this happens.
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## Process profiling with `perf`
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Linux has a process profiling tool called `perf` that is helpful when a certain
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process is eating up a lot of CPU. If you see high CPU usage and Sidekiq won't
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respond to the `TTIN` signal, this is a good next step.
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If `perf` is not installed on your system, install it with `apt-get` or `yum`:
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```shell
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# Debian
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sudo apt-get install linux-tools
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# Ubuntu (may require these additional Kernel packages)
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sudo apt-get install linux-tools-common linux-tools-generic linux-tools-`uname -r`
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# Red Hat/CentOS
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sudo yum install perf
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```
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Run `perf` against the Sidekiq PID:
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```shell
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sudo perf record -p <sidekiq_pid>
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```
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Let this run for 30-60 seconds and then press Ctrl-C. Then view the `perf` report:
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```shell
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$ sudo perf report
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# Sample output
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Samples: 348K of event 'cycles', Event count (approx.): 280908431073
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97.69% ruby nokogiri.so [.] xmlXPathNodeSetMergeAndClear
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0.18% ruby libruby.so.2.1.0 [.] objspace_malloc_increase
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0.12% ruby libc-2.12.so [.] _int_malloc
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0.10% ruby libc-2.12.so [.] _int_free
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```
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Above you see sample output from a `perf` report. It shows that 97% of the CPU is
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being spent inside Nokogiri and `xmlXPathNodeSetMergeAndClear`. For something
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this obvious you should then go investigate what job in GitLab would use
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Nokogiri and XPath. Combine with `TTIN` or `gdb` output to show the
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corresponding Ruby code where this is happening.
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## The GNU Project Debugger (`gdb`)
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`gdb` can be another effective tool for debugging Sidekiq. It gives you a little
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more interactive way to look at each thread and see what's causing problems.
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NOTE: **Note:**
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Attaching to a process with `gdb` will suspends the normal operation
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of the process (Sidekiq will not process jobs while `gdb` is attached).
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Start by attaching to the Sidekiq PID:
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```shell
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gdb -p <sidekiq_pid>
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```
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Then gather information on all the threads:
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```plaintext
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info threads
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# Example output
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30 Thread 0x7fe5fbd63700 (LWP 26060) 0x0000003f7cadf113 in poll () from /lib64/libc.so.6
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29 Thread 0x7fe5f2b3b700 (LWP 26533) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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28 Thread 0x7fe5f2a3a700 (LWP 26534) 0x0000003f7ce0ba5e in pthread_cond_timedwait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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27 Thread 0x7fe5f2939700 (LWP 26535) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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26 Thread 0x7fe5f2838700 (LWP 26537) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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25 Thread 0x7fe5f2737700 (LWP 26538) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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24 Thread 0x7fe5f2535700 (LWP 26540) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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23 Thread 0x7fe5f2434700 (LWP 26541) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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22 Thread 0x7fe5f2232700 (LWP 26543) 0x0000003f7ce0b68c in pthread_cond_wait@@GLIBC_2.3.2 () from /lib64/libpthread.so.0
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21 Thread 0x7fe5f2131700 (LWP 26544) 0x00007fe5f7b570f0 in xmlXPathNodeSetMergeAndClear ()
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from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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...
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```
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If you see a suspicious thread, like the Nokogiri one above, you may want
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to get more information:
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```plaintext
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thread 21
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bt
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# Example output
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#0 0x00007ff0d6afe111 in xmlXPathNodeSetMergeAndClear () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#1 0x00007ff0d6b0b836 in xmlXPathNodeCollectAndTest () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#2 0x00007ff0d6b09037 in xmlXPathCompOpEval () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#3 0x00007ff0d6b09017 in xmlXPathCompOpEval () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#4 0x00007ff0d6b092e0 in xmlXPathCompOpEval () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#5 0x00007ff0d6b0bc37 in xmlXPathRunEval () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#6 0x00007ff0d6b0be5f in xmlXPathEvalExpression () from /opt/gitlab/embedded/service/gem/ruby/2.1.0/gems/nokogiri-1.6.7.2/lib/nokogiri/nokogiri.so
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#7 0x00007ff0d6a97dc3 in evaluate (argc=2, argv=0x1022d058, self=<value optimized out>) at xml_xpath_context.c:221
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#8 0x00007ff0daeab0ea in vm_call_cfunc_with_frame (th=0x1022a4f0, reg_cfp=0x1032b810, ci=<value optimized out>) at vm_insnhelper.c:1510
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```
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To output a backtrace from all threads at once:
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```plaintext
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set pagination off
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thread apply all bt
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```
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Once you're done debugging with `gdb`, be sure to detach from the process and
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exit:
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```plaintext
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detach
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exit
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```
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## Sidekiq kill signals
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TTIN was described above as the signal to print backtraces for logging, however
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Sidekiq responds to other signals as well. For example, TSTP and TERM can be used
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to gracefully shut Sidekiq down, see
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[the Sidekiq Signals docs](https://github.com/mperham/sidekiq/wiki/Signals#ttin).
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## Check for blocking queries
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Sometimes the speed at which Sidekiq processes jobs can be so fast that it can
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cause database contention. Check for blocking queries when backtraces above
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show that many threads are stuck in the database adapter.
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The PostgreSQL wiki has details on the query you can run to see blocking
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queries. The query is different based on PostgreSQL version. See
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[Lock Monitoring](https://wiki.postgresql.org/wiki/Lock_Monitoring) for
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the query details.
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## Managing Sidekiq queues
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It is possible to use [Sidekiq API](https://github.com/mperham/sidekiq/wiki/API)
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to perform a number of troubleshooting steps on Sidekiq.
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These are the administrative commands and it should only be used if currently
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admin interface is not suitable due to scale of installation.
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All these commands should be run using `gitlab-rails console`.
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### View the queue size
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```ruby
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Sidekiq::Queue.new("pipeline_processing:build_queue").size
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```
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### Enumerate all enqueued jobs
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```ruby
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queue = Sidekiq::Queue.new("chaos:chaos_sleep")
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queue.each do |job|
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# job.klass # => 'MyWorker'
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# job.args # => [1, 2, 3]
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# job.jid # => jid
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# job.queue # => chaos:chaos_sleep
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# job["retry"] # => 3
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# job.item # => {
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# "class"=>"Chaos::SleepWorker",
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# "args"=>[1000],
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# "retry"=>3,
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# "queue"=>"chaos:chaos_sleep",
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# "backtrace"=>true,
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# "queue_namespace"=>"chaos",
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# "jid"=>"39bc482b823cceaf07213523",
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# "created_at"=>1566317076.266069,
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# "correlation_id"=>"c323b832-a857-4858-b695-672de6f0e1af",
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# "enqueued_at"=>1566317076.26761},
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# }
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# job.delete if job.jid == 'abcdef1234567890'
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end
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```
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### Enumerate currently running jobs
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```ruby
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workers = Sidekiq::Workers.new
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workers.each do |process_id, thread_id, work|
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# process_id is a unique identifier per Sidekiq process
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# thread_id is a unique identifier per thread
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# work is a Hash which looks like:
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# {"queue"=>"chaos:chaos_sleep",
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# "payload"=>
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# { "class"=>"Chaos::SleepWorker",
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# "args"=>[1000],
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# "retry"=>3,
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# "queue"=>"chaos:chaos_sleep",
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# "backtrace"=>true,
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# "queue_namespace"=>"chaos",
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# "jid"=>"b2a31e3eac7b1a99ff235869",
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# "created_at"=>1566316974.9215662,
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# "correlation_id"=>"e484fb26-7576-45f9-bf21-b99389e1c53c",
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# "enqueued_at"=>1566316974.9229589},
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# "run_at"=>1566316974}],
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end
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```
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### Remove Sidekiq jobs for given parameters (destructive)
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The general method to kill jobs conditionally is the following:
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```ruby
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queue = Sidekiq::Queue.new('<queue name>')
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queue.each { |job| job.delete if <condition>}
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```
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NOTE: **Note:**
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This will remove jobs that are queued but not started, running jobs will not be killed. Have a look at the section below for cancelling running jobs.
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In the method above, `<queue-name>` is the name of the queue that contains the job(s) you want to delete and `<condition>` will decide which jobs get deleted.
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Commonly, `<condition>` references the job arguments, which depend on the type of job in question. To find the arguments for a specific queue, you can have a look at the `perform` function of the related worker file, commonly found at `/app/workers/<queue-name>_worker.rb`.
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For example, `repository_import` has `project_id` as the job argument, while `update_merge_requests` has `project_id, user_id, oldrev, newrev, ref`.
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NOTE: **Note:**
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Arguments need to be referenced by their sequence ID using `job.args[<id>]` because `job.args` is a list of all arguments provided to the Sidekiq job.
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Here are some examples:
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```ruby
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queue = Sidekiq::Queue.new('update_merge_requests')
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# In this example, we want to remove any update_merge_requests jobs
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# for the Project with ID 125 and ref `ref/heads/my_branch`
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queue.each { |job| job.delete if job.args[0] == 125 and job.args[4] == 'ref/heads/my_branch' }
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```
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```ruby
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# Cancelling jobs like: `RepositoryImportWorker.new.perform_async(100)`
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id_list = [100]
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queue = Sidekiq::Queue.new('repository_import')
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queue.each do |job|
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job.delete if id_list.include?(job.args[0])
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end
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```
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### Remove specific job ID (destructive)
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```ruby
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queue = Sidekiq::Queue.new('repository_import')
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queue.each do |job|
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job.delete if job.jid == 'my-job-id'
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end
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```
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## Canceling running jobs (destructive)
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> Introduced in GitLab 12.3.
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This is highly risky operation and use it as last resort.
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Doing that might result in data corruption, as the job
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is interrupted mid-execution and it is not guaranteed
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that proper rollback of transactions is implemented.
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```ruby
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Gitlab::SidekiqDaemon::Monitor.cancel_job('job-id')
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```
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> This requires the Sidekiq to be run with `SIDEKIQ_MONITOR_WORKER=1`
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> environment variable.
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To perform of the interrupt we use `Thread.raise` which
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has number of drawbacks, as mentioned in [Why Ruby’s Timeout is dangerous (and Thread.raise is terrifying)](https://jvns.ca/blog/2015/11/27/why-rubys-timeout-is-dangerous-and-thread-dot-raise-is-terrifying/):
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> This is where the implications get interesting, and terrifying. This means that an exception can get raised:
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>
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> - during a network request (ok, as long as the surrounding code is prepared to catch Timeout::Error)
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> - during the cleanup for the network request
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> - during a rescue block
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> - while creating an object to save to the database afterwards
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> - in any of your code, regardless of whether it could have possibly raised an exception before
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>
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> Nobody writes code to defend against an exception being raised on literally any line. That’s not even possible. So Thread.raise is basically like a sneak attack on your code that could result in almost anything. It would probably be okay if it were pure-functional code that did not modify any state. But this is Ruby, so that’s unlikely :)
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