Promote has_nested_columns to cudf public API

cpp/include/cudf/table/experimental/row_operators.cuh

@@ -252,7 +252,7 @@ using optional_dremel_view = thrust::optional<detail::dremel_device_view const>;
  *
  * @tparam has_nested_columns compile-time optimization for primitive types.
  *         This template parameter is to be used by the developer by querying
- *         `cudf::detail::has_nested_columns(input)`. `true` compiles operator
+ *         `cudf::has_nested_columns(input)`. `true` compiles operator
  *         overloads for nested types, while `false` only compiles operator
  *         overloads for primitive types.
  * @tparam Nullate A cudf::nullate type describing whether to check for nulls.
@@ -1014,7 +1014,7 @@ class self_comparator {
    *
    * @tparam has_nested_columns compile-time optimization for primitive types.
    *         This template parameter is to be used by the developer by querying
-   *         `cudf::detail::has_nested_columns(input)`. `true` compiles operator
+   *         `cudf::has_nested_columns(input)`. `true` compiles operator
    *         overloads for nested types, while `false` only compiles operator
    *         overloads for primitive types.
    * @tparam Nullate A cudf::nullate type describing whether to check for nulls.
@@ -1186,7 +1186,7 @@ class two_table_comparator {
    *
    * @tparam has_nested_columns compile-time optimization for primitive types.
    *         This template parameter is to be used by the developer by querying
-   *         `cudf::detail::has_nested_columns(input)`. `true` compiles operator
+   *         `cudf::has_nested_columns(input)`. `true` compiles operator
    *         overloads for nested types, while `false` only compiles operator
    *         overloads for primitive types.
    * @tparam Nullate A cudf::nullate type describing whether to check for nulls.
@@ -1326,7 +1326,7 @@ struct nan_equal_physical_equality_comparator {
  *
  * @tparam has_nested_columns compile-time optimization for primitive types.
  *         This template parameter is to be used by the developer by querying
- *         `cudf::detail::has_nested_columns(input)`. `true` compiles operator
+ *         `cudf::has_nested_columns(input)`. `true` compiles operator
  *         overloads for nested types, while `false` only compiles operator
  *         overloads for primitive types.
  * @tparam Nullate A cudf::nullate type describing whether to check for nulls.
@@ -1643,7 +1643,7 @@ class self_comparator {
    *
    * @tparam has_nested_columns compile-time optimization for primitive types.
    *         This template parameter is to be used by the developer by querying
-   *         `cudf::detail::has_nested_columns(input)`. `true` compiles operator
+   *         `cudf::has_nested_columns(input)`. `true` compiles operator
    *         overloads for nested types, while `false` only compiles operator
    *         overloads for primitive types.
    * @tparam Nullate A cudf::nullate type describing whether to check for nulls.
@@ -1757,7 +1757,7 @@ class two_table_comparator {
    *
    * @tparam has_nested_columns compile-time optimization for primitive types.
    *         This template parameter is to be used by the developer by querying
-   *         `cudf::detail::has_nested_columns(input)`. `true` compiles operator
+   *         `cudf::has_nested_columns(input)`. `true` compiles operator
    *         overloads for nested types, while `false` only compiles operator
    *         overloads for primitive types.
    * @tparam Nullate A cudf::nullate type describing whether to check for nulls.

cpp/include/cudf/table/table_view.hpp

@@ -17,6 +17,7 @@
 
 #include <cudf/column/column_view.hpp>
 #include <cudf/types.hpp>
+#include <cudf/utilities/export.hpp>
 
 #include <algorithm>
 #include <vector>
@@ -32,7 +33,7 @@
  * passed by value.
  */
 
-namespace cudf {
+namespace CUDF_EXPORT cudf {
 namespace detail {
 /**
  * @brief Base class for a table of `ColumnView`s
@@ -123,7 +124,10 @@ class table_view_base {
    * @param column_index The index of the desired column
    * @return A reference to the desired column
    */
-  [[nodiscard]] ColumnView const& column(size_type column_index) const;
+  [[nodiscard]] ColumnView const& column(size_type column_index) const
+  {
+    return _columns.at(column_index);
+  }
 
   /**
    * @brief Returns the number of columns
@@ -174,8 +178,17 @@ class table_view_base {
  * @return Whether nested columns exist in the input table
  */
 bool has_nested_columns(table_view const& table);
+
 }  // namespace detail
 
+/**
+ * @brief Determine if any nested columns exist in a given table.
+ *
+ * @param table The input table
+ * @return Whether nested columns exist in the input table
+ */
+bool has_nested_columns(table_view const& table);
+
 /**
  * @brief A set of cudf::column_view's of the same size.
  *
@@ -374,4 +387,4 @@ extern template bool is_relationally_comparable<mutable_table_view>(mutable_tabl
                                                                     mutable_table_view const& rhs);
 // @endcond
 }  // namespace detail
-}  // namespace cudf
+}  // namespace CUDF_EXPORT cudf

cpp/src/table/table_view.cpp

@@ -52,12 +52,6 @@ auto concatenate_column_views(std::vector<ViewType> const& views)
   return concat_cols;
 }
 
-template <typename ColumnView>
-ColumnView const& table_view_base<ColumnView>::column(size_type column_index) const
-{
-  return _columns.at(column_index);
-}
-
 // Explicit instantiation for a table of `column_view`s
 template class table_view_base<column_view>;
 
@@ -172,6 +166,7 @@ bool has_nested_columns(table_view const& table)
   return std::any_of(
     table.begin(), table.end(), [](column_view const& col) { return is_nested(col.type()); });
 }
-
 }  // namespace detail
+
+bool has_nested_columns(table_view const& table) { return detail::has_nested_columns(table); }
 }  // namespace cudf

cpp/tests/table/experimental_row_operator_tests.cu

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022-2023, NVIDIA CORPORATION.
+ * Copyright (c) 2022-2024, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -109,15 +109,14 @@ TYPED_TEST(TypedTableViewTest, TestSortSameTableFromTwoTables)
   auto const lhs       = cudf::table_view{{col1}};
   auto const empty_rhs = cudf::table_view{{col2}};
 
-  auto const stream    = cudf::get_default_stream();
-  auto const test_sort = [stream](auto const& preprocessed,
-                                  auto const& input,
-                                  auto const& comparator,
-                                  auto const& expected) {
-    auto const order = sorted_order(
-      preprocessed, input.num_rows(), cudf::detail::has_nested_columns(input), comparator, stream);
-    CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, order->view());
-  };
+  auto const stream = cudf::get_default_stream();
+  auto const test_sort =
+    [stream](
+      auto const& preprocessed, auto const& input, auto const& comparator, auto const& expected) {
+      auto const order = sorted_order(
+        preprocessed, input.num_rows(), cudf::has_nested_columns(input), comparator, stream);
+      CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, order->view());
+    };
 
   auto const test_sort_two_tables = [&](auto const& preprocessed_lhs,
                                         auto const& preprocessed_empty_rhs) {
@@ -188,15 +187,14 @@ TYPED_TEST(TypedTableViewTest, TestSortSameTableFromTwoTablesWithListsOfStructs)
   auto const lhs          = cudf::table_view{{*col1}};
   auto const empty_rhs    = cudf::table_view{{*col2}};
 
-  auto const stream    = cudf::get_default_stream();
-  auto const test_sort = [stream](auto const& preprocessed,
-                                  auto const& input,
-                                  auto const& comparator,
-                                  auto const& expected) {
-    auto const order = sorted_order(
-      preprocessed, input.num_rows(), cudf::detail::has_nested_columns(input), comparator, stream);
-    CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, order->view());
-  };
+  auto const stream = cudf::get_default_stream();
+  auto const test_sort =
+    [stream](
+      auto const& preprocessed, auto const& input, auto const& comparator, auto const& expected) {
+      auto const order = sorted_order(
+        preprocessed, input.num_rows(), cudf::has_nested_columns(input), comparator, stream);
+      CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, order->view());
+    };
 
   auto const test_sort_two_tables = [&](auto const& preprocessed_lhs,
                                         auto const& preprocessed_empty_rhs) {

cpp/tests/table/row_operator_tests_utilities.cu

@@ -42,7 +42,7 @@ std::unique_ptr<cudf::column> two_table_comparison(cudf::table_view lhs,
   auto output = cudf::make_numeric_column(
     cudf::data_type(cudf::type_id::BOOL8), lhs.num_rows(), cudf::mask_state::UNALLOCATED);
 
-  if (cudf::detail::has_nested_columns(lhs) || cudf::detail::has_nested_columns(rhs)) {
+  if (cudf::has_nested_columns(lhs) || cudf::has_nested_columns(rhs)) {
     thrust::transform(rmm::exec_policy(stream),
                       lhs_it,
                       lhs_it + lhs.num_rows(),
@@ -129,7 +129,7 @@ std::unique_ptr<cudf::column> two_table_equality(cudf::table_view lhs,
   auto output = cudf::make_numeric_column(
     cudf::data_type(cudf::type_id::BOOL8), lhs.num_rows(), cudf::mask_state::UNALLOCATED);
 
-  if (cudf::detail::has_nested_columns(lhs) or cudf::detail::has_nested_columns(rhs)) {
+  if (cudf::has_nested_columns(lhs) or cudf::has_nested_columns(rhs)) {
     auto const equal_comparator =
       table_comparator.equal_to<true>(cudf::nullate::NO{}, cudf::null_equality::EQUAL, comparator);
 

cpp/tests/table/row_operator_tests_utilities2.cu

@@ -41,7 +41,7 @@ std::unique_ptr<cudf::column> self_comparison(cudf::table_view input,
   auto output = cudf::make_numeric_column(
     cudf::data_type(cudf::type_id::BOOL8), input.num_rows(), cudf::mask_state::UNALLOCATED);
 
-  if (cudf::detail::has_nested_columns(input)) {
+  if (cudf::has_nested_columns(input)) {
     thrust::transform(rmm::exec_policy(stream),
                       thrust::make_counting_iterator(0),
                       thrust::make_counting_iterator(input.num_rows()),