Yandex Managed Service for Apache Airflow™ metrics
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Updated at August 21, 2024
This section describes Managed Service for Apache Airflow™ metrics delivered to Monitoring.
The metric name is written to the name
label.
Common labels for all Managed Service for Apache Airflow™ metrics:
Label | Value |
---|---|
service | Service ID: managed-airflow |
cluster_id | Cluster ID |
Service metrics:
Name Type, units |
Description Labels |
---|---|
airflow.dag_processing.file_path_queue_size_value GAUGE, number |
Number of DAG files that will be considered in the next scan. |
airflow.dag_processing.file_path_queue_update_count.value COUNTER, number |
Number of times the file system was scanned and all existing DAGs were added to the queue. |
airflow.dag_processing.import_errors.value GAUGE, number |
Number of errors when trying to parse DAG files. |
airflow.dag_processing.total_parse_time.value GAUGE, seconds |
The time it took to scan and import all DAG files that will be included in the next scan. |
airflow.dagbag_size.value GAUGE, number |
Number of DAG files found in the last DAGBag scan by scheduler configuration. |
airflow.dataset.orphaned.value GAUGE, number |
Number of datasets that were marked as orphans because they no longer link to DAG schedule parameters or task outputs. |
airflow.job_start.value COUNTER , number |
Number of runs of different types of tasks such as SchedulerJob , LocalTaskJob , etc. |
airflow.pool.deferred_slots.default_pool.value GAUGE, number |
Number of deferred slots in default pools. |
airflow.pool.deferred_slots.value GAUGE, number |
Number of deferred slots in all pools.pool_name label: Pool name. |
airflow.pool.open_slots.default_pool.value GAUGE, number |
Number of open slots in default pools. |
airflow.pool.open_slots.value GAUGE, number |
Number of open slots in all pools.pool_name label: Pool name. |
airflow.pool.queued_slots.default_pool.value GAUGE, number |
Number of queued slots in default pools. |
airflow.pool.queued_slots.value GAUGE, number |
Number of queued slots in all pools.pool_name label: Pool name. |
airflow.pool.running_slots.default_pool.value GAUGE, number |
Number of running slots in default pools. |
airflow.pool.running_slots.value GAUGE, number |
Number of running slots in all pools.pool_name label: Pool name. |
airflow.scheduler.critical_section_duration.50_percentile TIMING, milliseconds |
Time spent on the critical section of the scheduler loop1. 0.5 percentile. |
airflow.scheduler.critical_section_duration.95_percentile TIMING, milliseconds |
Time spent on the critical section of the scheduler loop1. 0.95 percentile. |
airflow.scheduler.critical_section_duration.99_percentile TIMING, milliseconds |
Time spent on the critical section of the scheduler loop1. 0.99 percentile. |
airflow.scheduler.critical_section_duration.count TIMING, number |
Number of measurements of time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_duration.lower TIMING, milliseconds |
Minimum time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_duration.mean TIMING, milliseconds |
Average time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_duration.median TIMING, milliseconds |
Median time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_duration.stddev TIMING, milliseconds |
Standard deviation of time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_duration.sum TIMING, milliseconds |
Total time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_duration.upper TIMING, milliseconds |
Maximum time spent on the critical section of the scheduler loop1. |
airflow.scheduler.critical_section_query_duration.50_percentile TIMING, milliseconds |
Time spent to execute a query in the critical section1. 0.5 percentile. |
airflow.scheduler.critical_section_query_duration.95_percentile TIMING, milliseconds |
Time spent to execute a query in the critical section1. 0.95 percentile. |
airflow.scheduler.critical_section_query_duration.99_percentile TIMING, milliseconds |
Time spent to execute a query in the critical section1. 0.99 percentile. |
airflow.scheduler.critical_section_query_duration.count TIMING, number |
Number of measurements of the time spent to execute a query in the critical section1. |
airflow.scheduler.critical_section_query_duration.lower TIMING, milliseconds |
Minimum time spent to execute a query in the critical section1. |
airflow.scheduler.critical_section_query_duration.mean TIMING, milliseconds |
Average time spent to execute a query in the critical section1. |
airflow.scheduler.critical_section_query_duration.median TIMING, milliseconds |
Median time spent to execute a query in the critical section1. |
airflow.scheduler.critical_section_query_duration.stddev TIMING, milliseconds |
Standard deviation of the time spent to execute a query in the critical section1. |
airflow.scheduler.critical_section_query_duration.sum TIMING, milliseconds |
Total time spent to execute a query in the critical section1. |
airflow.scheduler.critical_section_query_duration.upper TIMING, milliseconds |
Maximum time spent to execute a query in the critical section1. |
airflow.scheduler.heartbeat.value COUNTER, number |
Number of heartbeat messages from the scheduler indicating its activity. |
airflow.scheduler.load_serializers.50_percentile TIMING, milliseconds |
Time spent serializing data in the scheduler2. 0.5 percentile. |
airflow.scheduler.load_serializers.95_percentile TIMING, milliseconds |
Time spent serializing data in the scheduler2. 0.95 percentile. |
airflow.scheduler.load_serializers.99_percentile TIMING, milliseconds |
Time spent serializing data in the scheduler2. 0.99 percentile. |
airflow.scheduler.load_serializers.count TIMING, number |
Number of measurements of time spent serializing data in the scheduler2. |
airflow.scheduler.load_serializers.lower TIMING, milliseconds |
Minimum time spent serializing data in the scheduler2. |
airflow.scheduler.load_serializers.mean TIMING, milliseconds |
Average time spent serializing data in the scheduler2. |
airflow.scheduler.load_serializers.median TIMING, milliseconds |
Median time spent serializing data in the scheduler2. |
airflow.scheduler.load_serializers.stddev TIMING, milliseconds |
Standard deviation of time spent serializing data in the scheduler2. |
airflow.scheduler.load_serializers.sum TIMING, milliseconds |
Total time spent serializing data in the scheduler2. |
airflow.scheduler.load_serializers.upper TIMING, milliseconds |
Maximum time spent serializing data in the scheduler2. |
airflow.scheduler.orphaned_tasks.adopted.value COUNTER, number |
Number of tasks adopted by the scheduler that were marked as orphans. |
airflow.scheduler.orphaned_tasks.cleared.value COUNTER, number |
Number of tasks cleared by the scheduler that were marked as orphans. |
airflow.scheduler.scheduler_loop_duration.50_percentile TIMING, milliseconds |
Time spent to execute one scheduler loop. 0.5 percentile. |
airflow.scheduler.scheduler_loop_duration.95_percentile TIMING, milliseconds |
Time spent to execute one scheduler loop. 0.95 percentile. |
airflow.scheduler.scheduler_loop_duration.99_percentile TIMING, milliseconds |
Time spent to execute one scheduler loop. 0.99 percentile. |
airflow.scheduler.scheduler_loop_duration.count TIMING, number |
Number of measurements of time spent to execute one scheduler loop. |
airflow.scheduler.scheduler_loop_duration.lower TIMING, milliseconds |
Minimum time spent to execute one scheduler loop. |
airflow.scheduler.scheduler_loop_duration.mean TIMING, milliseconds |
Average time spent to execute one scheduler loop. |
airflow.scheduler.scheduler_loop_duration.median TIMING, milliseconds |
Median time spent to execute one scheduler loop. |
airflow.scheduler.scheduler_loop_duration.stddev TIMING, milliseconds |
Standard deviation of time spent to execute one scheduler loop. |
airflow.scheduler.scheduler_loop_duration.sum TIMING, milliseconds |
Total time spent to execute one scheduler loop. |
airflow.scheduler.scheduler_loop_duration.upper TIMING, milliseconds |
Total time spent to execute one scheduler loop. |
airflow.scheduler.tasks.executable.value GAUGE, number |
Number of tasks ready to run according to pool limitations, DAG competitiveness, executor state, and priorities. |
airflow.scheduler.tasks.starving.value GAUGE, number |
Number of tasks that cannot be scheduled because there is no free slot in the pool. |
CeleryExecutor GAUGE, number |
Number of Celery The status label value means the number of workers that:
|
1 Only one scheduler can enter this loop at a time.
2 Data serialization process for exchange between tasks and for web server and scheduler security.