singhpratech opened a new issue, #1296:
URL: https://github.com/apache/arrow-go/issues/1296
**Describe the enhancement requested**
`compute.GetFunctionRegistry()` in v18.7.0 registers 85 functions, all
scalar (80) or vector (5).
`FuncScalarAgg` and `FuncHashAgg` exist as kinds, but no function of either
kind is registered: `sum`,
`mean`, `min`, `max`, `min_max`, `count`, `count_distinct`, `any`, `all`,
`variance`, `stddev`,
`hash_sum` and `hash_count` are all absent. The package documentation
describes "an Acero-like arrow
compute engine" and marks the package experimental, but does not say that
aggregation is not
implemented, so a reader coming from pyarrow.compute or the C++ function
list discovers it by a
failed lookup.
Go 1.27.1, macOS 26.6 (arm64), arrow-go v18.7.0. On v18.8.0-rc1 the registry
holds 89 functions (76
scalar, 8 vector, 5 meta), still none of aggregate kind.
```go
reg := compute.GetFunctionRegistry()
names := reg.GetFunctionNames()
kinds := map[string]int{}
for _, n := range names {
fn, _ := reg.GetFunction(n)
kinds[fn.Kind().String()]++
}
fmt.Println(len(names), kinds)
for _, n := range []string{"sum", "mean", "min_max", "count", "hash_sum"} {
_, ok := reg.GetFunction(n)
fmt.Println(n, ok)
}
```
Output:
```
85 map[Scalar:80 Vector:5]
sum false
mean false
min_max false
count false
hash_sum false
```
**What would help**
Either of two things, and ideally both: a sentence in the `compute` package
documentation listing
what is and is not implemented (scalar and vector functions yes; scalar
aggregates and hash
aggregates not yet), and the aggregates themselves, starting with `sum`,
`min_max`, `count` and
`mean` over the primitive types. Context: a binding that uses arrow-go's
kernels as the reference for
its own reductions and group-bys currently has to write those references as
plain Go loops.
**Component(s)**
Go, Compute
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