You are viewing a plain text version of this content. The canonical link for it is here.

Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/03 23:47:51 UTC

[GitHub] [beam] kennknowles opened a new issue, #19342: TFX pipelines experience a huge blowup in intermediate data size

kennknowles opened a new issue, #19342:
URL: https://github.com/apache/beam/issues/19342

   The elements in TFX intermediate collections are dictionaries of (typically single-element) numpy arrays, which are (relatively) expensive to serialize (e.g. using pickle for the numpy wrapper of a primitive int/float, repeating the column names in every element).
   
   Though it'd be good to use a better intermediate representation, this is exacerbated because the fusion algorithm does not pack as much possible into executable stages. 
   
   Imported from Jira [BEAM-6243](https://issues.apache.org/jira/browse/BEAM-6243). Original Jira may contain additional context.
   Reported by: robertwb.


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org