Kevin created ARROW-14422:
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Summary: parquet saved by pyarrow, cannot be read in Hive
Key: ARROW-14422
URL: https://issues.apache.org/jira/browse/ARROW-14422
Project: Apache Arrow
Issue Type: Bug
Reporter: Kevin
I have a couple of files (csv,..) and am using pandas and pyarrow.table (0.17)
to save it as parquet on disk (parquet version 1.4)
colums
id : string
val : string
table = pa.Table.from_pandas(df)
pq.write_table(table, "df.parquet", version='1.0', flavor='spark',
write_statistics=True, )
However, Hive and Spark does not recognize the parquet version:
{{org.apache.parquet.VersionParser$VersionParseException: Could not parse
created_by: parquet-cpp version 1.5.1-SNAPSHOT using format: (.+) version ((.*)
)?\(build ?(.*)\)}}
{{ at org.apache.parquet.VersionParser.parse(VersionParser.java:112)}}
{{ at
org.apache.parquet.CorruptStatistics.shouldIgnoreStatistics(CorruptStatistics.java:60)}}
{{ at
org.apache.parquet.format.converter.ParquetMetadataConverter.fromParquetStatistics(ParquetMetadataConverter.java:263)}}
It seems related to this issue:
It appears you've encountered PARQUET-349 which was fixed in 2015 before Arrow
was even started. The underlying C++ code does allow this {{created_by}} field
to be customized
[source|https://github.com/apache/arrow/blob/4591d76fce2846a29dac33bf01e9ba0337b118e9/cpp/src/parquet/properties.h#L249]
but the python wrapper does not expose this
[source|https://github.com/apache/arrow/blob/4591d76fce2846a29dac33bf01e9ba0337b118e9/python/pyarrow/_parquet.pxd#L360].
It would be nice that pyarrow exposes this feature.
SO Question here:
[https://stackoverflow.com/questions/69658140/how-to-save-a-parquet-with-pandas-using-same-header-than-hadoop-spark-parquet?noredirect=1#comment123131862_69658140]
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