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https://issues.apache.org/jira/browse/AIRFLOW-191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15503533#comment-15503533
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ASF subversion and git services commented on AIRFLOW-191:
---------------------------------------------------------

Commit 4905a5563d47b45e38b91661ee5aa7f3765a129b in incubator-airflow's branch 
refs/heads/master from [~kxepal]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-airflow.git;h=4905a55 ]

[AIRFLOW-191] Fix connection leak with PostgreSQL backend

This issue happens because job falls asleep during
heartbeat without
closing a session, which holds a connection. This
turns database
connection into IDLE state, but doesn't releases
it for other clients,
so when connection poll get exhausted, they get
blocked for ~heartbeat
timeframe causing global performance degradation.

Closes #1790 from kxepal/AIRFLOW-191-postgresql-
connection-leak


> Database connection leak on Postgresql backend
> ----------------------------------------------
>
>                 Key: AIRFLOW-191
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-191
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: executor
>    Affects Versions: Airflow 1.7.1.2
>            Reporter: Sergei Iakhnin
>         Attachments: Sid_anands_airflow_idle_in_transaction.png
>
>
> I raised this issue on github several months ago and there was even a PR but 
> it never maid it into mainline. Basically, workers tend to hang onto DB 
> connections in Postgres for recording heartbeat.
> I'm running a cluster with 115 workers, each with 8 slots. My Postgres DB is 
> configured to allow 1000 simultaneous connections. I should effectively be 
> able to run 920 tasks at the same time, but am actually limited to only about 
> 450-480 because of idle transactions from workers hanging on to DB 
> connections.
> If I run the following query
> select count(*),state, client_hostname from pg_stat_activity group by state, 
> client_hostname
> These are the results:
> count state client_hostname
> 1     active  (null)
> 1     idle    localhost
> 451   idle in transaction     (null)
> 446   idle    (null)
> 1     active  localhost
> The idle connections are all trying to run COMMIT
> The "idle in transaction" connections are all trying to run 
> SELECT job.id AS job_id, job.dag_id AS job_dag_id, job.state AS job_state, 
> job.job_type AS job_job_type, job.start_date AS job_start_date, job.end_date 
> AS job_end_date, job.latest_heartbeat AS job_latest_heartbeat, 
> job.executor_class AS job_executor_class, job.hostname AS job_hostname, 
> job.unixname AS job_unixname 
> FROM job 
> WHERE job.id = 213823 
>  LIMIT 1
> with differing job.ids of course.



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