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https://issues.apache.org/jira/browse/ARROW-14422?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17479790#comment-17479790
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nero commented on ARROW-14422:
------------------------------
Hi there,
I face a related issue when I write a parquet file by PyArrow.
In the old version of Hive, it can only recognize the timestamp type stored in
INT96, so I use table.write_to_data with `use_deprecated_int96_timestamps=True`
option to save the parquet file. But the hive SQL will skip timestamp
conversion when the metadata of parquet file is not created_by "parquet-mr".
[hive/ParquetRecordReaderBase.java at f1ff99636a5546231336208a300a114bcf8c5944
· apache/hive
(github.com)|https://github.com/apache/hive/blob/f1ff99636a5546231336208a300a114bcf8c5944/ql/src/java/org/apache/hadoop/hive/ql/io/parquet/ParquetRecordReaderBase.java#L137-L139]
So I have to save the timestamp columns with timezone info.
But when pyarrow.parquet read from a dir which contains parquets created by
both PyArrow and parquet-mr, Arrow.Table will ignore the timezone info for
parquet-mr file.
Maybe PyArrow can expose the created_by option? Or handle timestamp type with
timezone which files created by parquet-mr?
> [Python] Allow parquet::WriterProperties::created_by to be set via
> pyarrow.ParquetWriter for compatibility with older parquet-mr
> --------------------------------------------------------------------------------------------------------------------------------
>
> Key: ARROW-14422
> URL: https://issues.apache.org/jira/browse/ARROW-14422
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Kevin
> Priority: Major
>
> have a couple of files and using 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].
>
>
> *+EDIT Add infos+*
> Current python wrapper does NOT expose : created_by builder (when writing
> parquet on disk)
> [https://github.com/apache/arrow/blob/master/python/pyarrow/_parquet.pxd#L361]
>
> But, this is available in CPP version:
> [https://github.com/apache/arrow/blob/4591d76fce2846a29dac33bf01e9ba0337b118e9/cpp/src/parquet/properties.h#L249]
> [https://github.com/apache/arrow/blob/master/python/pyarrow/_parquet.pxd#L320]
>
> This creates an issue when Hadoop parquet reader reads this pyarrow parquet
> file:
>
>
> +*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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