[jira] [Commented] (ARROW-6976) Possible memory leak in pyarrow read_parquet

["Nitesh Mundu (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-6976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17088288#comment-17088288 ] 

Nitesh Mundu commented on ARROW-6976:
-------------------------------------

for a 50 MB parquet file, it is taking 3.3 GB when converted to pandas dataframe. Is this an acceptable case for parquet files?

> Possible memory leak in pyarrow read_parquet
> --------------------------------------------
>
>                 Key: ARROW-6976
>                 URL: https://issues.apache.org/jira/browse/ARROW-6976
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.15.0
>         Environment: linux ubuntu 18.04
>            Reporter: david cottrell
>            Priority: Critical
>         Attachments: image-2019-10-23-16-17-20-739.png, pyarrow-master.png, pyarrow_0150.png
>
>
>  
> Version and repro info in the gist below.
> Not sure if I'm not understanding something from this [https://arrow.apache.org/blog/2019/02/05/python-string-memory-0.12/]
> but there seems to be memory accumulation when that is exacerbated with higher arity objects like strings and dates (not datetimes).
>  
> I was not able to reproduce the issue on MacOS. Downgrading to 0.14.1 seemed to "fix" or lessen the problem.
>  
> [https://gist.github.com/cottrell/a3f95aa59408d87f925ec606d8783e62]
>  
> Let me know if this post should go elsewhere.
> !image-2019-10-23-16-17-20-739.png!
>  
> {code:java}
>  
> {code}
>  
>  



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