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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