[jira] [Resolved] (SPARK-36696) spark.read.parquet loads empty dataset

["Takuya Ueshin (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-36696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Takuya Ueshin resolved SPARK-36696.
-----------------------------------
    Fix Version/s: 3.2.0
       Resolution: Fixed

I confirmed the example file can be read after the upgrade.
I'd close this now. Thanks!

> spark.read.parquet loads empty dataset
> --------------------------------------
>
>                 Key: SPARK-36696
>                 URL: https://issues.apache.org/jira/browse/SPARK-36696
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.2.0
>            Reporter: Takuya Ueshin
>            Priority: Blocker
>             Fix For: 3.2.0
>
>         Attachments: example.parquet
>
>
> Here's a parquet file Spark 3.2/master can't read properly.
> The file was stored by pandas and must contain 3650 rows, but Spark 3.2/master returns an empty dataset.
> {code:python}
> >>> import pandas as pd
> >>> len(pd.read_parquet('/path/to/example.parquet'))
> 3650
> >>> spark.read.parquet('/path/to/example.parquet').count()
> 0
> {code}
> I guess it's caused by the parquet 1.12.0.
> When I reverted two commits related to the parquet 1.12.0 from branch-3.2:
>  - [https://github.com/apache/spark/commit/e40fce919ab77f5faeb0bbd34dc86c56c04adbaa]
>  - [https://github.com/apache/spark/commit/cbffc12f90e45d33e651e38cf886d7ab4bcf96da]
> it reads the data successfully.
> We need to add some workaround, or revert the commits.



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