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https://issues.apache.org/jira/browse/ARROW-17464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anja Boskovic updated ARROW-17464:
----------------------------------
    Description: 
Half-float values are not supported in Parquet. Here is a previous issue that 
talks about that: https://issues.apache.org/jira/browse/PARQUET-1647

So, this will not work:
{code:java}
import pyarrow as pa
import pyarrow.parquet as pq
import numpy as np
arr = pa.array(np.float16([0.1, 2.2, 3]))
table = pa.table({'a': arr})
pq.write_table(table, "test_halffloat.parquet") {code}
{{This is a proposal to store float16 values in Parquet as FixedSizeBinary, and 
then restore them to float16 when reading them back in.}}

  was:
Half-float values are not supported in Parquet. Here is a previous issue that 
talks about that: https://issues.apache.org/jira/browse/PARQUET-1647

So, this will not work:
{code:java}
import pyarrow as pa
import pyarrow.parquet as pq
import numpy as np
arr = pa.array(np.float16([0.1, 2.2, 3]))
table = pa.table({'a': arr})
pq.write_table(table, "test_halffloat.parquet") {code}
{{{}This is a proposal to store float16 values in Parquet as FixedSizeBinary, 
and then restore them to float16 when reading them back in.\{{{}{{}}}}}}


> [C++] Support float16 in writing/reading parquet
> ------------------------------------------------
>
>                 Key: ARROW-17464
>                 URL: https://issues.apache.org/jira/browse/ARROW-17464
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++, Parquet, Python
>            Reporter: Anja Boskovic
>            Assignee: Anja Boskovic
>            Priority: Major
>              Labels: parquet
>
> Half-float values are not supported in Parquet. Here is a previous issue that 
> talks about that: https://issues.apache.org/jira/browse/PARQUET-1647
> So, this will not work:
> {code:java}
> import pyarrow as pa
> import pyarrow.parquet as pq
> import numpy as np
> arr = pa.array(np.float16([0.1, 2.2, 3]))
> table = pa.table({'a': arr})
> pq.write_table(table, "test_halffloat.parquet") {code}
> {{This is a proposal to store float16 values in Parquet as FixedSizeBinary, 
> and then restore them to float16 when reading them back in.}}



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