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

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

Takuya Ueshin created SPARK-36696:
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             Summary: 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


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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