[jira] [Commented] (AIRFLOW-6238) Dags stats endpoint is slow and returns a large payload

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/AIRFLOW-6238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16994800#comment-16994800 ] 

ASF GitHub Bot commented on AIRFLOW-6238:
-----------------------------------------

robinedwards commented on pull request #6803: [AIRFLOW-6238] Filter dags returned by dag_stats
URL: https://github.com/apache/airflow/pull/6803
 
 
   ### Jira
   
   - [x] My PR addresses the following [Airflow Jira](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references them in the PR title.
     - https://issues.apache.org/jira/browse/AIRFLOW-6238
   
   ### Description
   
   - [x] Here are some details about my PR, including screenshots of any UI changes:
   
   The dag_stats endpoint returns all dags by default. This can result in an extremely large payload ~ 3mb and slow response time when you have a lot of dags (In our case 1500+).
   
   The accompanying pull request adds a dag_ids get parameter to the dag_stats end point which is populated by the dags present on the page.
   
   Please see related and merged issue for task_stats: https://issues.apache.org/jira/browse/AIRFLOW-6095
   
   ### Tests
   
   - [x] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason:
   
   ### Commits
   
   - [x] My commits all reference Jira issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)":
     1. Subject is separated from body by a blank line
     1. Subject is limited to 50 characters (not including Jira issue reference)
     1. Subject does not end with a period
     1. Subject uses the imperative mood ("add", not "adding")
     1. Body wraps at 72 characters
     1. Body explains "what" and "why", not "how"
   
   ### Documentation
   
   - [ ] In case of new functionality, my PR adds documentation that describes how to use it.
     - All the public functions and the classes in the PR contain docstrings that explain what it does
     - If you implement backwards incompatible changes, please leave a note in the [Updating.md](https://github.com/apache/airflow/blob/master/UPDATING.md) so we can assign it to a appropriate release
   
    NA.
 
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> Dags stats endpoint is slow and returns a large payload
> -------------------------------------------------------
>
>                 Key: AIRFLOW-6238
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-6238
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: api, ui
>    Affects Versions: 2.0.0, 1.10.6
>            Reporter: Robin Edwards
>            Priority: Minor
>
> The dag_stats endpoint returns all dags by default. This can result in an extremely large payload ~ 3mb and slow response time when you have a lot of dags (In our case 1500+).
> The accompanying pull request adds a dag_ids get parameter to the dag_stats end point which is populated by the dags present on the page.
> Please see previous issue for task_stats AIRFLOW-6095 which has already been merged with a similar solution



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