use num_traits::ToPrimitive;
use reifydb_core::value::column::data::ColumnData;
use reifydb_type::value::r#type::Type;
use crate::function::{
ScalarFunction, ScalarFunctionContext,
error::{ScalarFunctionError, ScalarFunctionResult},
propagate_options,
};
pub struct Avg {}
impl Avg {
pub fn new() -> Self {
Self {}
}
}
impl ScalarFunction for Avg {
fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
if let Some(result) = propagate_options(self, &ctx) {
return result;
}
let columns = ctx.columns;
let row_count = ctx.row_count;
if columns.is_empty() {
return Err(ScalarFunctionError::ArityMismatch {
function: ctx.fragment.clone(),
expected: 1,
actual: 0,
});
}
let mut sum = vec![0.0f64; row_count];
let mut count = vec![0u32; row_count];
for (col_idx, col) in columns.iter().enumerate() {
match &col.data() {
ColumnData::Int1(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Int2(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Int4(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Int8(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Int16(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Uint1(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Uint2(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Uint4(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Uint8(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Uint16(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Float4(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value as f64;
count[i] += 1;
}
}
}
ColumnData::Float8(container) => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += *value;
count[i] += 1;
}
}
}
ColumnData::Int {
container,
..
} => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += value.0.to_f64().unwrap_or(0.0);
count[i] += 1;
}
}
}
ColumnData::Uint {
container,
..
} => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += value.0.to_f64().unwrap_or(0.0);
count[i] += 1;
}
}
}
ColumnData::Decimal {
container,
..
} => {
for i in 0..row_count {
if let Some(value) = container.get(i) {
sum[i] += value.0.to_f64().unwrap_or(0.0);
count[i] += 1;
}
}
}
other => {
return Err(ScalarFunctionError::InvalidArgumentType {
function: ctx.fragment.clone(),
argument_index: col_idx,
expected: vec![
Type::Int1,
Type::Int2,
Type::Int4,
Type::Int8,
Type::Int16,
Type::Uint1,
Type::Uint2,
Type::Uint4,
Type::Uint8,
Type::Uint16,
Type::Float4,
Type::Float8,
Type::Int,
Type::Uint,
Type::Decimal,
],
actual: other.get_type(),
});
}
}
}
let mut data = Vec::with_capacity(row_count);
let mut valids = Vec::with_capacity(row_count);
for i in 0..row_count {
if count[i] > 0 {
data.push(sum[i] / count[i] as f64);
valids.push(true);
} else {
data.push(0.0);
valids.push(false);
}
}
Ok(ColumnData::float8_with_bitvec(data, valids))
}
fn return_type(&self, _input_types: &[Type]) -> Type {
Type::Float8
}
}