Jefffrey commented on code in PR #18091:
URL: https://github.com/apache/datafusion/pull/18091#discussion_r2434611403
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datafusion/spark/src/function/aggregate/avg.rs:
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@@ -25,41 +25,37 @@ use arrow::array::{
use arrow::compute::sum;
use arrow::datatypes::{DataType, Field, FieldRef};
use datafusion_common::utils::take_function_args;
-use datafusion_common::{not_impl_err, Result, ScalarValue};
+use datafusion_common::{not_impl_err, plan_err, Result, ScalarValue};
use datafusion_expr::function::{AccumulatorArgs, StateFieldsArgs};
-use datafusion_expr::type_coercion::aggregates::coerce_avg_type;
use datafusion_expr::utils::format_state_name;
use datafusion_expr::Volatility::Immutable;
use datafusion_expr::{
- type_coercion::aggregates::avg_return_type, Accumulator, AggregateUDFImpl,
EmitTo,
- GroupsAccumulator, ReversedUDAF, Signature,
+ Accumulator, AggregateUDFImpl, EmitTo, GroupsAccumulator, ReversedUDAF,
Signature,
};
use std::{any::Any, sync::Arc};
-use DataType::*;
/// AVG aggregate expression
/// Spark average aggregate expression. Differs from standard DataFusion
average aggregate
/// in that it uses an `i64` for the count (DataFusion version uses `u64`);
also there is ANSI mode
/// support planned in the future for Spark version.
+// TODO: see if can deduplicate with DF version
Review Comment:
I'll do this in a followup (or raise an issue for it)
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