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Date: Thu, 20 Oct 2016 20:13:59 +0000 (UTC)
From: "David (JIRA)" <jira@apache.org>
To: commits@airflow.incubator.apache.org
Message-ID: <JIRA.13014035.1476994411000.43953.1476994439717@Atlassian.JIRA>
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Subject: [jira] [Created] (AIRFLOW-584) Airflow Pool does not limit running
 tasks
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archived-at: Thu, 20 Oct 2016 20:14:03 -0000

David created AIRFLOW-584:
-----------------------------

             Summary: Airflow Pool does not limit running tasks
                 Key: AIRFLOW-584
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-584
             Project: Apache Airflow
          Issue Type: Bug
          Components: pools
    Affects Versions: Airflow 1.7.1.3
         Environment: Ubuntu 14.04
            Reporter: David


Airflow pools are not limiting the number of running task instances for the following dag in 1.7.1.3

Steps to recreate:
Create a pool of size 5 through the UI.

The following dag has 52 tasks with increasing priority corresponding to the task number. There should only ever be 5 tasks running at a time however I observed 29 'used slots' in a pool with 5 slots

{code}
dag_name = 'pools_bug'

default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2016, 10, 20),
    'email_on_failure': False,
    'retries': 1
}

dag = DAG(dag_name, default_args=default_args, schedule_interval="0 8 * * *")
start = DummyOperator(task_id='start', dag=dag)
end = DummyOperator(task_id='end', dag=dag)

for i in range(50):
    sleep_command = 'sleep 10'
    task_name = 'task-{}'.format(i)
    op = BashOperator(
        task_id=task_name,
        bash_command=sleep_command,
        execution_timeout=timedelta(hours=4),
        priority_weight=i,
        pool=dag_name,
        dag=dag)

    start.set_downstream(op)
    end.set_upstream(op)
{code}

Relevant configurations from airflow.cfg:
{code}
# The amount of parallelism as a setting to the executor. This defines
# the max number of task instances that should run simultaneously
# on this airflow installation
parallelism = 64

# The number of task instances allowed to run concurrently by the scheduler
dag_concurrency = 64

# The maximum number of active DAG runs per DAG
max_active_runs_per_dag = 1
{code}


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