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From "Navjot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AIRFLOW-19) How can I have an Operator B iterate over a list returned from upstream by Operator A?
Date Wed, 04 Jan 2017 04:01:58 GMT

    [ https://issues.apache.org/jira/browse/AIRFLOW-19?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15797087#comment-15797087
] 

Navjot commented on AIRFLOW-19:
-------------------------------

[~praveev] Thank you for your reply
I am also stuck where I have to use output of a task(which is list of table names) and run
different tasks on each table
It seems I will have to approach the problem in some other way

> How can I have an Operator B iterate over a list returned from upstream by Operator A?
> --------------------------------------------------------------------------------------
>
>                 Key: AIRFLOW-19
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-19
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: operators
>            Reporter: Praveenkumar Venkatesan
>            Priority: Minor
>              Labels: support
>
> Here is what I am trying to do exactly: https://gist.github.com/praveev/7b93b50746f8e965f7139ecba028490a
> the python operator log just returns the following
> [2016-04-28 11:56:22,296] {models.py:1041} INFO - Executing <Task(PythonOperator):
run_distcp_on_each> on 2016-04-28 11:56:12
> [2016-04-28 11:56:22,350] {python_operator.py:66} INFO - Done. Returned value was: None
> it didn't even print my kwargs and to_process data
> To simplify this. Lets say t1 returns 3 elements. I want to iterate over the list and
run t2 -> t3 for each element.



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