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https://issues.apache.org/jira/browse/ARROW-11257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17267998#comment-17267998
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Kari Schoonbee edited comment on ARROW-11257 at 1/19/21, 4:07 PM:
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Thanks Joris, that is great. I'll keep an eye out.
I can also add that doing the parquet round-trip using `pyspark==3.0.0` works
using `data_frame.write.parquet()`
was (Author: kari_s):
Thanks Joris, that is great. I'll keep an eye out.
I can also add that doing the same parquet round-trip using `pyspark==3.0.0`
works.
> [C++][Parquet] PyArrow Table contains different data after writing and
> reloading from Parquet
> ---------------------------------------------------------------------------------------------
>
> Key: ARROW-11257
> URL: https://issues.apache.org/jira/browse/ARROW-11257
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 2.0.0
> Reporter: Kari Schoonbee
> Priority: Critical
> Attachments: anonymised.jsonl, pyarrow_parquet_issue.ipynb
>
>
> * I'm loading a JSONlines object into a table using
> {code:java}
> pa.json.readjson{code}
> It contains one column that is a nested dictionary.
> * I select a row by key and inspect its nested dictionary.
> * I write the table to parquet
> * I load the table again from the parquet file
> * I check the same key and the nested dictionary is not the same.
>
> To reproduce:
>
> Find the attached JSONLines file and Jupyter Notebook.
> The json file contains entries per customer with a generated `msisdn`,
> `scoring_request_id` and `scorecard_result` object. Each `scorecard result
> consists of a list of feature objects, all with the value the same as the
> msidn` and a score.
> The notebook reads the file and demonstrates the issue.
>
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