Details
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Bug
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Status: Closed
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Major
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Resolution: Duplicate
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None
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None
Description
Hi all,
a while ago I posted this issue: ARROW-3866
While working with Pyarrow I encountered another potential bug related to column metadata: If I create a table containing columns with metadata everything is fine. But after I save the table to parquet and load it back as a table using pq.read_table, the column metadata is gone.
As of now I can not say yet whether the metadata is not saved correctly or not loaded correctly, as I have no idea how to verify it. Unfortunately I also don't have the time try a lot, but I wanted to let you know anyway.
field0 = pa.field('field1', pa.int64(), metadata=dict(a="A", b="B")) field1 = pa.field('field2', pa.int64(), nullable=False) columns = [ pa.column(field0, pa.array([1, 2])), pa.column(field1, pa.array([3, 4])) ] table = pa.Table.from_arrays(columns) pq.write_table(tab, path) tab2 = pq.read_table(path) tab2.column(0).field.metadata
Attachments
Issue Links
- is superceded by
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ARROW-3246 [Python][Parquet] direct reading/writing of pandas categoricals in parquet
- Resolved