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https://issues.apache.org/jira/browse/ARROW-1938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16432773#comment-16432773
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Joshua Storck commented on ARROW-1938:
--------------------------------------
Bug fix in this PR: https://github.com/apache/parquet-cpp/pull/453
> [Python] Error writing to partitioned Parquet dataset
> -----------------------------------------------------
>
> Key: ARROW-1938
> URL: https://issues.apache.org/jira/browse/ARROW-1938
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.8.0
> Environment: Linux (Ubuntu 16.04)
> Reporter: Robert Dailey
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.10.0
>
> Attachments: ARROW-1938-test-data.csv.gz, ARROW-1938.py,
> pyarrow_dataset_error.png
>
>
> I receive the following error after upgrading to pyarrow 0.8.0 when writing
> to a dataset:
> * ArrowIOError: Column 3 had 187374 while previous column had 10000
> The command was:
> write_table_values = {'row_group_size': 10000}
> pq.write_to_dataset(pa.Table.from_pandas(df, preserve_index=True),
> '/logs/parsed/test', partition_cols=['Product', 'year', 'month', 'day',
> 'hour'], **write_table_values)
> I've also tried write_table_values = {'chunk_size': 10000} and received the
> same error.
> This same command works in version 0.7.1. I am trying to troubleshoot the
> problem but wanted to submit a ticket.
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