bkietz commented on a change in pull request #7623:
URL: https://github.com/apache/arrow/pull/7623#discussion_r451637966
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File path: python/pyarrow/_dataset.pyx
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@@ -881,10 +881,15 @@ cdef class RowGroupInfo:
name = frombytes(c_statistics.type.get().field(i).get().name())
c_minmax = <CStructScalar*> c_statistics.value[i].get()
- statistics[name] = {
- 'min': pyarrow_wrap_scalar(c_minmax.value[0]).as_py(),
- 'max': pyarrow_wrap_scalar(c_minmax.value[1]).as_py(),
- }
+ try:
+ statistics[name] = {
+ 'min': pyarrow_wrap_scalar(c_minmax.value[0]).as_py(),
+ 'max': pyarrow_wrap_scalar(c_minmax.value[1]).as_py(),
+ }
+ except ValueError:
+ # Don't treat failure to parse/convert a single Scalar as a
+ # failure. The min/max will simply be missing for this field.
Review comment:
Should we add a test case for this? IIUC this will only arise when a
parquet file has statistics of a type which `pyarrow_wrap_scalar` doesn't
support; are we sure we want to hide that error?
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