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Metrics
=======
Airflow can be set up to send metrics to `StatsD <https://github.com/etsy/statsd>`__.
Setup
-----
First you must install statsd requirement:
.. code-block:: bash
pip install 'apache-airflow[statsd]'
Add the following lines to your configuration file e.g. ``airflow.cfg``
.. code-block:: ini
[scheduler]
statsd_on = True
statsd_host = localhost
statsd_port = 8125
statsd_prefix = airflow
If you want to avoid send all the available metrics to StatsD, you can configure an allow list of prefixes to send only
the metrics that start with the elements of the list:
.. code-block:: ini
[scheduler]
statsd_allow_list = scheduler,executor,dagrun
Counters
--------
=================================== ================================================================
Name Description
=================================== ================================================================
<job_name>_start Number of started <job_name> job, ex. SchedulerJob, LocalTaskJob
<job_name>_end Number of ended <job_name> job, ex. SchedulerJob, LocalTaskJob
operator_failures_<operator_name> Operator <operator_name> failures
operator_successes_<operator_name> Operator <operator_name> successes
ti_failures Overall task instances failures
ti_successes Overall task instances successes
zombies_killed Zombie tasks killed
scheduler_heartbeat Scheduler heartbeats
dag_processing.processes Number of currently running DAG parsing processes
=================================== ================================================================
Gauges
------
=============================================== ========================================================================
Name Description
=============================================== ========================================================================
dagbag_size DAG bag size
dag_processing.import_errors Number of errors from trying to parse DAG files
dag_processing.total_parse_time Seconds taken to scan and import all DAG files once
dag_processing.last_runtime.<dag_file> Seconds spent processing <dag_file> (in most recent iteration)
dag_processing.last_run.seconds_ago.<dag_file> Seconds since <dag_file> was last processed
dag_processing.processor_timeouts Number of file processors that have been killed due to taking too long
executor.open_slots Number of open slots on executor
executor.queued_tasks Number of queued tasks on executor
executor.running_tasks Number of running tasks on executor
pool.open_slots.<pool_name> Number of open slots in the pool
pool.used_slots.<pool_name> Number of used slots in the pool
pool.starving_tasks.<pool_name> Number of starving tasks in the pool
=============================================== ========================================================================
Timers
------
======================================= ======================================================
Name Description
======================================= ======================================================
dagrun.dependency-check.<dag_id> Milliseconds taken to check DAG dependencies
dag.<dag_id>.<task_id>.duration Milliseconds taken to finish a task
dag_processing.last_duration.<dag_file> Milliseconds taken to load the given DAG file
dagrun.duration.success.<dag_id> Milliseconds taken for a DagRun to reach success state
dagrun.duration.failed.<dag_id> Milliseconds taken for a DagRun to reach failed state
dagrun.schedule_delay.<dag_id> Milliseconds of delay between the scheduled DagRun
start date and the actual DagRun start date
======================================= ======================================================