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Posted to github@arrow.apache.org by "sam-lunt (via GitHub)" <gi...@apache.org> on 2023/05/09 00:37:16 UTC

[GitHub] [arrow] sam-lunt commented on pull request #35494: Fix underlying type for DATE64

sam-lunt commented on PR #35494:
URL: https://github.com/apache/arrow/pull/35494#issuecomment-1539233161

   I see that the unit tests failed, so I'd be inclined to agree that this change isn't quite right, haha.
   
   That said, I do think there is an issue with the current implementation, since `date64` doesn't survive a round trip from Arrow to Parquet and back:
   ``` py
   import datetime
   import sys
   import pandas as pd
   import pyarrow as pa
   import pyarrow.parquet as paq
   
   print(f"{sys.version=}")
   print(f"{pa.__version__=}")
   print()
   
   schema = pa.schema(
       [
           ("date32", pa.date32()),
           ("date64", pa.date64()),
       ]
   )
   
   print("schema:", schema, "", sep="\n")
   
   df = pd.DataFrame(
       {
           "date32": datetime.date(2020, 3, 15),
           "date64": datetime.date(2020, 3, 15),
       },
       index=pd.RangeIndex(1),
   )
   
   rb = pa.RecordBatch.from_pandas(df, schema=schema)
   print("rb.schema:", rb.schema, "", sep="\n")
   
   w = paq.ParquetWriter("test.parquet", version="2.6", schema=schema)
   w.write(rb)
   w.close()
   
   f = paq.ParquetFile("test.parquet")
   t = f.read()
   print("t.schema:", t.schema, sep="\n")
   ```
   
   On my machine (running x86_64 Linux), I see the following output:
   ```
   sys.version='3.11.3 (main, Apr  5 2023, 15:52:25) [GCC 12.2.1 20230201]'
   pa.__version__='10.0.1'
   
   schema:
   date32: date32[day]
   date64: date64[ms]
   
   rb.schema:
   date32: date32[day]
   date64: date64[ms]
   -- schema metadata --
   pandas: '{"index_columns": [], "column_indexes": [{"name": null, "field_n' + 412
   
   t.schema:
   date32: date32[day]
   date64: date32[day]
   ```


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