Convert bool_and & bool_or to UDAF (apache#11009)

* Port `bool_and` and `bool_or` to `AggregateUDFImpl`

* Remove trait methods with default implementation

* Add `bool_or_udaf`

* Register `bool_and` and `bool_or`

* Remove from `physical-expr`

* Add expressions to logical plan roundtrip test

* minor: remove methods with default implementation

* Removes redundant tests

* Removes hard-coded function names

Author: jcsherin

datafusion/expr/src/aggregate_function.rs

@@ -47,10 +47,6 @@ pub enum AggregateFunction {
     Correlation,
     /// Grouping
     Grouping,
-    /// Bool And
-    BoolAnd,
-    /// Bool Or
-    BoolOr,
 }
 
 impl AggregateFunction {
@@ -64,8 +60,6 @@ impl AggregateFunction {
             NthValue => "NTH_VALUE",
             Correlation => "CORR",
             Grouping => "GROUPING",
-            BoolAnd => "BOOL_AND",
-            BoolOr => "BOOL_OR",
         }
     }
 }
@@ -82,8 +76,6 @@ impl FromStr for AggregateFunction {
         Ok(match name {
             // general
             "avg" => AggregateFunction::Avg,
-            "bool_and" => AggregateFunction::BoolAnd,
-            "bool_or" => AggregateFunction::BoolOr,
             "max" => AggregateFunction::Max,
             "mean" => AggregateFunction::Avg,
             "min" => AggregateFunction::Min,
@@ -128,9 +120,6 @@ impl AggregateFunction {
                 // The coerced_data_types is same with input_types.
                 Ok(coerced_data_types[0].clone())
             }
-            AggregateFunction::BoolAnd | AggregateFunction::BoolOr => {
-                Ok(DataType::Boolean)
-            }
             AggregateFunction::Correlation => {
                 correlation_return_type(&coerced_data_types[0])
             }
@@ -179,10 +168,6 @@ impl AggregateFunction {
                     .collect::<Vec<_>>();
                 Signature::uniform(1, valid, Volatility::Immutable)
             }
-            AggregateFunction::BoolAnd | AggregateFunction::BoolOr => {
-                Signature::uniform(1, vec![DataType::Boolean], Volatility::Immutable)
-            }
-
             AggregateFunction::Avg => {
                 Signature::uniform(1, NUMERICS.to_vec(), Volatility::Immutable)
             }

datafusion/expr/src/type_coercion/aggregates.rs

@@ -121,18 +121,6 @@ pub fn coerce_types(
             };
             Ok(vec![v])
         }
-        AggregateFunction::BoolAnd | AggregateFunction::BoolOr => {
-            // Refer to https://www.postgresql.org/docs/8.2/functions-aggregate.html doc
-            // smallint, int, bigint, real, double precision, decimal, or interval.
-            if !is_bool_and_or_support_arg_type(&input_types[0]) {
-                return plan_err!(
-                    "The function {:?} does not support inputs of type {:?}.",
-                    agg_fun,
-                    input_types[0]
-                );
-            }
-            Ok(input_types.to_vec())
-        }
         AggregateFunction::Correlation => {
             if !is_correlation_support_arg_type(&input_types[0]) {
                 return plan_err!(
@@ -319,10 +307,6 @@ pub fn avg_sum_type(arg_type: &DataType) -> Result<DataType> {
     }
 }
 
-pub fn is_bool_and_or_support_arg_type(arg_type: &DataType) -> bool {
-    matches!(arg_type, DataType::Boolean)
-}
-
 pub fn is_sum_support_arg_type(arg_type: &DataType) -> bool {
     match arg_type {
         DataType::Dictionary(_, dict_value_type) => {