[
https://issues.apache.org/jira/browse/ARROW-5993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Neal Richardson updated ARROW-5993:
-----------------------------------
Fix Version/s: 1.0.0
> [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
> Priority: Major
> Labels: memory, parquet
> Fix For: 1.0.0
>
>
> 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
>
>
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)