zanmato1984 commented on issue #43236:
URL: https://github.com/apache/arrow/issues/43236#issuecomment-2229901162
Hi, thanks reporting.
I was able to repro the issue using conda pyarrow 16.1.0 (however I failed
to do so with my own built arrow/pyarrow). Attaching the stack trace here:
```
(lldb) bt
* thread #5, stop reason = EXC_BAD_ACCESS (code=1, address=0x1000)
* frame #0: 0x0000000197967230 libsystem_platform.dylib`_platform_memmove
+ 144
frame #1: 0x0000000103d7f10c libarrow.1601.0.0.dylib`void
arrow::internal::TransferBitmap<(arrow::internal::TransferMode)0>(unsigned char
const*, long long, long long, long long, unsigned char*) + 216
frame #2: 0x0000000103d7fbc0
libarrow.1601.0.0.dylib`arrow::Result<std::__1::shared_ptr<arrow::Buffer>>
arrow::internal::TransferBitmap<(arrow::internal::TransferMode)0>(arrow::MemoryPool*,
unsigned char const*, long long, long long) + 144
frame #3: 0x00000001031eb710
libarrow.1601.0.0.dylib`std::__1::enable_if<std::is_same<arrow::FixedSizeBinaryType,
arrow::FixedSizeBinaryType>::value && !std::is_same<arrow::BinaryType,
arrow::FixedSizeBinaryType>::value, arrow::Status>::type
arrow::compute::internal::(anonymous
namespace)::BinaryToBinaryCastExec<arrow::BinaryType,
arrow::FixedSizeBinaryType>(arrow::compute::KernelContext*,
arrow::compute::ExecSpan const&, arrow::compute::ExecResult*) + 368
frame #4: 0x0000000103141aec
libarrow.1601.0.0.dylib`arrow::compute::detail::(anonymous
namespace)::ScalarExecutor::Execute(arrow::compute::ExecBatch const&,
arrow::compute::detail::ExecListener*) + 1628
frame #5: 0x000000010314b7d4
libarrow.1601.0.0.dylib`arrow::compute::ExecuteScalarExpression(arrow::compute::Expression
const&, arrow::compute::ExecBatch const&, arrow::compute::ExecContext*) + 1652
frame #6: 0x000000010314b550
libarrow.1601.0.0.dylib`arrow::compute::ExecuteScalarExpression(arrow::compute::Expression
const&, arrow::compute::ExecBatch const&, arrow::compute::ExecContext*) + 1008
frame #7: 0x000000013156e9b0
libarrow_acero.1601.0.0.dylib`arrow::acero::(anonymous
namespace)::FilterNode::ProcessBatch(arrow::compute::ExecBatch) + 212
frame #8: 0x0000000131597c50
libarrow_acero.1601.0.0.dylib`arrow::acero::MapNode::InputReceived(arrow::acero::ExecNode*,
arrow::compute::ExecBatch) + 204
frame #9: 0x00000001315c1fd8
libarrow_acero.1601.0.0.dylib`std::__1::__function::__func<arrow::acero::(anonymous
namespace)::SourceNode::SliceAndDeliverMorsel(arrow::compute::ExecBatch
const&)::'lambda'(), std::__1::allocator<arrow::acero::(anonymous
namespace)::SourceNode::SliceAndDeliverMorsel(arrow::compute::ExecBatch
const&)::'lambda'()>, arrow::Status ()>::operator()() + 364
frame #10: 0x00000001315a4fc4
libarrow_acero.1601.0.0.dylib`std::__1::enable_if<!std::is_void<arrow::Status>::value
&& !is_future<arrow::Status>::value &&
(!arrow::Future<arrow::internal::Empty>::is_empty ||
std::is_same<arrow::Status, arrow::Status>::value), void>::type
arrow::detail::ContinueFuture::operator()<std::__1::function<arrow::Status
()>&, arrow::Status,
arrow::Future<arrow::internal::Empty>>(arrow::Future<arrow::internal::Empty>,
std::__1::function<arrow::Status ()>&) const + 60
frame #11: 0x00000001315a4ef0
libarrow_acero.1601.0.0.dylib`std::__1::__bind_return<arrow::detail::ContinueFuture,
std::__1::tuple<arrow::Future<arrow::internal::Empty>,
std::__1::function<arrow::Status ()>>, std::__1::tuple<>,
__is_valid_bind_return<arrow::detail::ContinueFuture,
std::__1::tuple<arrow::Future<arrow::internal::Empty>,
std::__1::function<arrow::Status ()>>, std::__1::tuple<>>::value>::type
std::__1::__bind<arrow::detail::ContinueFuture,
arrow::Future<arrow::internal::Empty>&, std::__1::function<arrow::Status
()>>::operator()[abi:fe180100]<>() + 68
frame #12: 0x0000000103dde024 libarrow.1601.0.0.dylib`void*
std::__1::__thread_proxy[abi:fe180100]<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct,
std::__1::default_delete<std::__1::__thread_struct>>,
arrow::internal::ThreadPool::LaunchWorkersUnlocked(int)::$_0>>(void*) + 496
frame #13: 0x0000000197936f94 libsystem_pthread.dylib`_pthread_start +
136
```
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