andygrove opened a new pull request, #3658:
URL: https://github.com/apache/datafusion-comet/pull/3658

   ## Summary
   
   - Replace `from_raw_parts` + `try_into().unwrap()` + `from_le_bytes()` with 
direct aligned pointer dereferences (`*(addr as *const T)`) in all 
`SparkUnsafeObject` trait accessors (`get_byte`, `get_short`, `get_int`, 
`get_long`, `get_float`, `get_double`, `get_date`, `get_timestamp`)
   - Apply the same optimization to `SparkUnsafeArray::new` element count read
   - Both `SparkUnsafeRow` and `SparkUnsafeArray` guarantee natural alignment 
for field access, so unaligned reads are unnecessary
   
   ## Rationale
   
   Spark's `UnsafeRow` fields are at 8-byte aligned offsets (bitset width is a 
multiple of 8, each slot is 8 bytes, JVM allocates aligned memory). 
`UnsafeArray` elements are also naturally aligned (header is 8-byte aligned, 
elements are at `element_size` stride). The previous `from_raw_parts` + 
`try_into().unwrap()` + `from_le_bytes` pattern added three layers of 
abstraction per read that compiled to unnecessary overhead. These accessors are 
on the hottest path in row-to-columnar conversion used by JVM shuffle.
   
   ## Test plan
   
   - [x] `cargo clippy --all-targets --workspace -- -D warnings` passes
   - [x] `cargo test --no-run` compiles successfully
   - [ ] Existing row-to-columnar tests cover these code paths


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