WillAyd commented on PR #45272:
URL: https://github.com/apache/arrow/pull/45272#issuecomment-3027916509
OK I am still seeing some runtime performance after refactoring the
RangeDataEqualsImpl class to `compare_internal.h` and creating custom functors
that call that directly per element, although its still a good deal behind
primitive performance:
```python
>>> arr1 = pa.array([list("abc"), list("def"), list("xyz")] * 1_000_000)
>>> arr2 = pa.array([list("abc"), list("def"), list("xyzz")] * 1_000_000)
>>> %timeit pc.equal(arr1, arr2)
336 ms ± 1.19 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
```
I wonder if the ArrayIterator returning a `shared_ptr<ArrayData>` is the
next bottleneck?
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