Ben Kietzman created ARROW-11508:
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Summary: [C++][Compute] Add support for generic conversions to
Function::DispatchBest
Key: ARROW-11508
URL: https://issues.apache.org/jira/browse/ARROW-11508
Project: Apache Arrow
Issue Type: New Feature
Components: C++
Affects Versions: 3.0.0
Reporter: Ben Kietzman
Assignee: Ben Kietzman
ARROW-8919 adds support for execution with implicit casts to any function which
overrides DispatchBest, allowing functions to specify conversions which make
sense in that function's context. For example "add" can promote its arguments
if their types disagree. By contrast, some conversions are more generic and
could be applicable to any function's arguments. For example if any datum is
dictionary encoded, a kernel which accepts the decoded type should be usable
with an implicit decoding cast:
{code:java}
import pyarrow as pa
import pyarrow.compute as pc
arr = pa.array('hello ' * 10)
enc = arr.dictionary_encode()
# result should not depend on encoding:
assert pc.ascii_is_alnum(arr) == pc.ascii_is_alnum(enc)
# currently raises:
# ArrowNotImplementedError: Function ascii_is_alnum has no kernel matching
# input types (array[dictionary<values=string, indices=int32, ordered=0>])
{code}
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