viirya commented on code in PR #226:
URL: https://github.com/apache/datafusion-comet/pull/226#discussion_r1575674292
##########
core/src/execution/datafusion/expressions/scalar_funcs.rs:
##########
@@ -629,3 +622,72 @@ fn spark_decimal_div(
let result = result.with_data_type(DataType::Decimal128(p3, s3));
Ok(ColumnarValue::Array(Arc::new(result)))
}
+
+fn spark_murmur3_hash(args: &[ColumnarValue]) -> Result<ColumnarValue,
DataFusionError> {
+ let length = args.len();
+ let seed = &args[length - 1];
+ match seed {
+ ColumnarValue::Scalar(ScalarValue::Int32(Some(seed))) => {
+ // iterate over the arguments to find out the length of the array
+ let num_rows = args[0..args.len() - 1]
+ .iter()
+ .find_map(|arg| match arg {
+ ColumnarValue::Array(array) => Some(array.len()),
+ ColumnarValue::Scalar(_) => None,
+ })
+ .unwrap_or(1);
+ let mut hashes: Vec<u32> = vec![0_u32; num_rows];
+ hashes.fill(*seed as u32);
+ let arrays = args[0..args.len() - 1]
+ .iter()
+ .map(|arg| match arg {
+ ColumnarValue::Array(array) => array.clone(),
+ ColumnarValue::Scalar(scalar) => {
+ scalar.clone().to_array_of_size(num_rows).unwrap()
+ }
+ })
+ .collect::<Vec<ArrayRef>>();
+ create_hashes(&arrays, &mut hashes)?;
+ if num_rows == 1 {
+ Ok(ColumnarValue::Scalar(ScalarValue::Int32(Some(
+ hashes[0] as i32,
+ ))))
+ } else {
+ let hashes: Vec<i32> = hashes.into_iter().map(|x| x as
i32).collect();
+ Ok(ColumnarValue::Array(Arc::new(Int32Array::from(hashes))))
+ }
+ }
+ _ => internal_err!("Unsupported data type for function murmur3_hash"),
Review Comment:
```suggestion
_ => internal_err!("The seed of function murmur3_hash must be an
Int32 scalar value."),
```
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