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https://issues.apache.org/jira/browse/ARROW-5993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16913497#comment-16913497
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Neal Richardson commented on ARROW-5993:
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0.15 is probably still a couple weeks away. You can follow the issue burndown
at [https://cwiki.apache.org/confluence/display/ARROW/Arrow+0.15.0+Release]
> [Python] Reading a dictionary column from Parquet results in disproportionate
> memory usage
> ------------------------------------------------------------------------------------------
>
> Key: ARROW-5993
> URL: https://issues.apache.org/jira/browse/ARROW-5993
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.14.0
> Reporter: Daniel Haviv
> Assignee: Wes McKinney
> Priority: Major
> Labels: memory, parquet
> Fix For: 0.15.0
>
>
> I'm using pyarrow to read a 40MB parquet file.
> When reading all of the columns besides the "body" columns, the process peaks
> at 170MB.
> Reading only the "body" column results in over 6GB of memory used.
> I made the file publicly accessible:
> s3://dhavivresearch/pyarrow/demofile.parquet
>
>
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