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https://issues.apache.org/jira/browse/ARROW-6060?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Antoine Pitrou resolved ARROW-6060.
-----------------------------------
Resolution: Fixed
Fix Version/s: 0.15.0
Issue resolved by pull request 5016
[https://github.com/apache/arrow/pull/5016]
> [Python] too large memory cost using pyarrow.parquet.read_table with
> use_threads=True
> -------------------------------------------------------------------------------------
>
> Key: ARROW-6060
> URL: https://issues.apache.org/jira/browse/ARROW-6060
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.14.1
> Reporter: Kun Liu
> Assignee: Benjamin Kietzman
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.15.0
>
> Time Spent: 3h
> Remaining Estimate: 0h
>
> I tried to load a parquet file of about 1.8Gb using the following code. It
> crashed due to out of memory issue.
> {code:java}
> import pyarrow.parquet as pq
> pq.read_table('/tmp/test.parquet'){code}
> However, it worked well with use_threads=True as follows
> {code:java}
> pq.read_table('/tmp/test.parquet', use_threads=False){code}
> If pyarrow is downgraded to 0.12.1, there is no such problem.
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