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Posted to commits@airflow.apache.org by "George Leslie-Waksman (JIRA)" <ji...@apache.org> on 2016/10/03 02:56:21 UTC
[jira] [Commented] (AIRFLOW-513) ExternalTaskSensor tasks should
not count towards parallelism limit
[ https://issues.apache.org/jira/browse/AIRFLOW-513?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541394#comment-15541394 ]
George Leslie-Waksman commented on AIRFLOW-513:
-----------------------------------------------
What's wrong with workaround 2?
The point of parallelism is to control how many processes are running. A sensor that's waiting is in a while loop eating processing time, so you don't really want to ignore them for parallelism's sake.
Short timeout, with tuned retry delay, and retry counts, will work just fine.
> ExternalTaskSensor tasks should not count towards parallelism limit
> -------------------------------------------------------------------
>
> Key: AIRFLOW-513
> URL: https://issues.apache.org/jira/browse/AIRFLOW-513
> Project: Apache Airflow
> Issue Type: Improvement
> Environment: Ubuntu 14.04
> Version 1.7.0
> Reporter: Kevin Yuen
>
> Hi,
> We are using airflow version 1.7.0 and we are using `ExternalTaskSensor` pretty heavily to manage dependencies between our DAGs.
> We have recently experienced a case where the external task sensors are causing the DAGs to go into limbo state because they took up all the execution slots defined via `AIRFLOW__CORE__PARALLELISM`.
> For example:
> Given we have 2 DAGs:
> first one with 16 python operator tasks, and the other with 16 sensors. We set `PARALLELISM` to 16.
> If the scheduler choses to schedule all 16 sensors first, the dag runs will never complete.
> There are a couple of work around to this:
> # staggering the DAGs so that the first dag with python operator runs first
> # lowering the TaskSensor timeout thresholds and relying on retries
> Both of these options seems less then ideal to us. We wonder if `ExternalTaskSensor` should really be counting towards the `PARALLELISM` limit?
> Cheers,
> Kevin
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