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https://issues.apache.org/jira/browse/ARROW-6060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16895331#comment-16895331
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Kun Liu commented on ARROW-6060:
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Thanks for the response, [~wesmckinn].
I am trying to generate a sample file and reproduce the error as the original
file is not possible to disclose. The pandas types of columns in the parquet
file are just unicode, bytes, and int64.
> [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
> Priority: Major
>
> 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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