minor cleanup

apache · Dec 11, 2024 · 79c9b0a · 79c9b0a
1 parent 3a666a5
commit 79c9b0a
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Showing 2 changed files with 0 additions and 22 deletions.
diff --git a/cpp/src/arrow/compute/kernels/scalar_hash.cc b/cpp/src/arrow/compute/kernels/scalar_hash.cc
@@ -15,13 +15,7 @@
 // specific language governing permissions and limitations
 // under the License.
 
-/**
- * @file  scalar_hash.cc
- * @brief Element-wise (scalar) kernels for hashing values.
- */
-
 #include <algorithm>
-//#include <iostream>
 
 #include "arrow/array/array_base.h"
 #include "arrow/array/builder_primitive.h"

diff --git a/cpp/src/arrow/compute/light_array_internal.h b/cpp/src/arrow/compute/light_array_internal.h
@@ -34,10 +34,6 @@
 namespace arrow {
 namespace compute {
 
-// Forward declaration of KeyColumnArray for convenience of creating a type alias
-class KeyColumnArray;
-using KeyColumnVector = std::vector<KeyColumnArray>;
-
 /// \brief Context needed by various execution engine operations
 ///
 /// In the execution engine this context is provided by either the node or the
@@ -89,7 +85,6 @@ class ARROW_EXPORT KeyColumnArray {
  public:
   /// \brief Create an uninitialized KeyColumnArray
   KeyColumnArray() = default;
-
   /// \brief Create a read-only view from buffers
   ///
   /// This is a view only and does not take ownership of the buffers.  The lifetime
@@ -226,17 +221,6 @@ class ARROW_EXPORT KeyColumnArray {
 ARROW_EXPORT Result<KeyColumnMetadata> ColumnMetadataFromDataType(
     const std::shared_ptr<DataType>& type);
 
-ARROW_EXPORT Result<KeyColumnMetadata> ColumnMetadataFromDataType(const DataType* type);
-
-/// \brief Create KeyColumnArray instances from an ArraySpan (nested types supported)
-///
-/// The caller should ensure this is only called on "key" columns. Some nested types are
-/// supported up to 1 level of nesting (e.g. List<int8> but not List<List<int8>>).
-/// \see ColumnMetadataFromDataType for details
-ARROW_EXPORT Result<KeyColumnArray> ColumnArrayFromArraySpan(const ArraySpan& array_span,
-                                                             int64_t start_row,
-                                                             int64_t num_rows);
-
 /// \brief Create KeyColumnArray from ArrayData
 ///
 /// If `type` is a dictionary type then this will return the KeyColumnArray for