alamb commented on code in PR #2636:
URL: https://github.com/apache/arrow-rs/pull/2636#discussion_r961692236


##########
arrow/src/array/cast.rs:
##########
@@ -53,6 +260,90 @@ where
         .expect("Unable to downcast to primitive array")
 }
 
+/// Downcast an [`Array`] to a [`DictionaryArray`] based on its [`DataType`], 
accepts
+/// a number of subsequent patterns to match the data type
+///
+/// ```
+/// # use arrow::downcast_dict_array;
+/// # use arrow::array::Array;
+/// # use arrow::datatypes::DataType;
+/// # use arrow::array::as_string_array;
+///
+/// fn print_keys(array: &dyn Array) {
+///     downcast_dict_array!(
+///         array => {
+///             for v in array.keys() {
+///                 println!("{:?}", v);
+///             }
+///         }
+///         t => println!("Unsupported datatype {}", t)

Review Comment:
   I think it would be good to extend this example to show the String array as 
well -- not only to document how to support other types, but also because the 
StringArray is so common



##########
arrow/src/array/cast.rs:
##########
@@ -20,6 +20,213 @@
 use crate::array::*;
 use crate::datatypes::*;
 
+/// Downcast an [`Array`] to a [`PrimitiveArray`] based on its [`DataType`], 
accepts
+/// a number of subsequent patterns to match the data type
+///
+/// ```
+/// # use arrow::downcast_primitive_array;
+/// # use arrow::array::Array;
+/// # use arrow::datatypes::DataType;
+/// # use arrow::array::as_string_array;
+///
+/// fn print_primitive(array: &dyn Array) {
+///     downcast_primitive_array!(

Review Comment:
   ❤️  that certainly will make the macros in code such as 
https://github.com/apache/arrow-datafusion/blob/master/datafusion/physical-expr/src/expressions/binary.rs
 easier to deal with ❤️ 



##########
arrow/src/compute/kernels/filter.rs:
##########
@@ -358,92 +336,12 @@ fn filter_array(values: &dyn Array, predicate: 
&FilterPredicate) -> Result<Array
         IterationStrategy::None => Ok(new_empty_array(values.data_type())),
         IterationStrategy::All => Ok(make_array(values.data().slice(0, 
predicate.count))),
         // actually filter
-        _ => match values.data_type() {
+        _ => downcast_primitive_array! {
+            values => Ok(Arc::new(filter_primitive(values, predicate))),

Review Comment:
   👨‍🍳 👌 
   
   Very nice



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