jayzhan211 commented on code in PR #9343:
URL: https://github.com/apache/arrow-datafusion/pull/9343#discussion_r1505789320


##########
datafusion/functions-array/src/udf.rs:
##########
@@ -75,8 +116,233 @@ impl ScalarUDFImpl for ArrayToString {
     }
 
     fn invoke(&self, args: &[ColumnarValue]) -> 
datafusion_common::Result<ColumnarValue> {
-        let args = ColumnarValue::values_to_arrays(args)?;
-        crate::kernels::array_to_string(&args).map(ColumnarValue::Array)
+        make_scalar_function_with_hints(crate::kernels::array_to_string)(args)
+    }
+
+    fn aliases(&self) -> &[String] {
+        &self.aliases
+    }
+}
+
+#[derive(Debug)]
+pub(super) struct ArrayAppend {
+    signature: Signature,
+    aliases: Vec<String>,
+}
+
+impl ArrayAppend {
+    pub fn new() -> Self {
+        Self {
+            signature: Signature::array_and_element(Volatility::Immutable),
+            aliases: vec![
+                String::from("array_append"),
+                String::from("list_append"),
+                String::from("array_push_back"),
+                String::from("list_push_back"),
+            ],
+        }
+    }
+}
+
+impl ScalarUDFImpl for ArrayAppend {
+    fn as_any(&self) -> &dyn Any {
+        self
+    }
+
+    fn name(&self) -> &str {
+        "array_append"
+    }
+
+    fn signature(&self) -> &Signature {
+        &self.signature
+    }
+
+    fn return_type(&self, arg_types: &[DataType]) -> 
datafusion_common::Result<DataType> {
+        Ok(arg_types[0].clone())
+    }
+
+    fn invoke(&self, args: &[ColumnarValue]) -> 
datafusion_common::Result<ColumnarValue> {
+        make_scalar_function_with_hints(crate::kernels::array_append)(args)

Review Comment:
   Actually I think we will never output Scalar for ArrayFunction, that is why 
we can map to ColumnArray here, but I'm not 100% sure.



##########
datafusion/functions-array/src/udf.rs:
##########
@@ -75,8 +116,233 @@ impl ScalarUDFImpl for ArrayToString {
     }
 
     fn invoke(&self, args: &[ColumnarValue]) -> 
datafusion_common::Result<ColumnarValue> {
-        let args = ColumnarValue::values_to_arrays(args)?;
-        crate::kernels::array_to_string(&args).map(ColumnarValue::Array)
+        make_scalar_function_with_hints(crate::kernels::array_to_string)(args)
+    }
+
+    fn aliases(&self) -> &[String] {
+        &self.aliases
+    }
+}
+
+#[derive(Debug)]
+pub(super) struct ArrayAppend {
+    signature: Signature,
+    aliases: Vec<String>,
+}
+
+impl ArrayAppend {
+    pub fn new() -> Self {
+        Self {
+            signature: Signature::array_and_element(Volatility::Immutable),
+            aliases: vec![
+                String::from("array_append"),
+                String::from("list_append"),
+                String::from("array_push_back"),
+                String::from("list_push_back"),
+            ],
+        }
+    }
+}
+
+impl ScalarUDFImpl for ArrayAppend {
+    fn as_any(&self) -> &dyn Any {
+        self
+    }
+
+    fn name(&self) -> &str {
+        "array_append"
+    }
+
+    fn signature(&self) -> &Signature {
+        &self.signature
+    }
+
+    fn return_type(&self, arg_types: &[DataType]) -> 
datafusion_common::Result<DataType> {
+        Ok(arg_types[0].clone())
+    }
+
+    fn invoke(&self, args: &[ColumnarValue]) -> 
datafusion_common::Result<ColumnarValue> {
+        make_scalar_function_with_hints(crate::kernels::array_append)(args)

Review Comment:
   Actually, I think we will never output Scalar for ArrayFunction, that is why 
we can map to ColumnArray here, but I'm not 100% sure.



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