merge branch-24.10, only run builds

.github/workflows/pr.yaml

@@ -21,7 +21,7 @@ jobs:
       # - conda-python-cudf-tests
       # - conda-python-other-tests
       # - conda-java-tests
-      # - static-configure
+      - static-configure
       # - conda-notebook-tests
       # - docs-build
       - wheel-build-libcudf

cpp/include/cudf/io/parquet.hpp

@@ -39,8 +39,9 @@ namespace io {
  * @file
  */
 
-constexpr size_t default_row_group_size_bytes   = 128 * 1024 * 1024;  ///< 128MB per row group
-constexpr size_type default_row_group_size_rows = 1000000;     ///< 1 million rows per row group
+constexpr size_t default_row_group_size_bytes =
+  std::numeric_limits<size_t>::max();                          ///< Infinite bytes per row group
+constexpr size_type default_row_group_size_rows = 1'000'000;   ///< 1 million rows per row group
 constexpr size_t default_max_page_size_bytes    = 512 * 1024;  ///< 512KB per page
 constexpr size_type default_max_page_size_rows  = 20000;       ///< 20k rows per page
 constexpr int32_t default_column_index_truncate_length = 64;   ///< truncate to 64 bytes

cpp/src/io/parquet/writer_impl.cu

@@ -1819,8 +1819,14 @@ auto convert_table_to_parquet_data(table_input_metadata& table_meta,
     auto const table_size  = std::reduce(column_sizes.begin(), column_sizes.end());
     auto const avg_row_len = util::div_rounding_up_safe<size_t>(table_size, input.num_rows());
     if (avg_row_len > 0) {
-      auto const rg_frag_size = util::div_rounding_up_safe(max_row_group_size, avg_row_len);
-      max_page_fragment_size  = std::min<size_type>(rg_frag_size, max_page_fragment_size);
+      // Ensure `rg_frag_size` is not bigger than size_type::max for default max_row_group_size
+      // value (=uint64::max) to avoid a sign overflow when comparing
+      auto const rg_frag_size =
+        std::min<size_t>(std::numeric_limits<size_type>::max(),
+                         util::div_rounding_up_safe(max_row_group_size, avg_row_len));
+      // Safe comparison as rg_frag_size fits in size_type
+      max_page_fragment_size =
+        std::min<size_type>(static_cast<size_type>(rg_frag_size), max_page_fragment_size);
     }
 
     // dividing page size by average row length will tend to overshoot the desired

cpp/src/join/join_common_utils.hpp

@@ -22,7 +22,6 @@
 #include <cudf/table/row_operators.cuh>
 #include <cudf/table/table_view.hpp>
 
-#include <cuco/static_map.cuh>
 #include <cuco/static_multimap.cuh>
 #include <cuda/atomic>
 
@@ -51,11 +50,6 @@ using mixed_multimap_type =
                         cudf::detail::cuco_allocator<char>,
                         cuco::legacy::double_hashing<1, hash_type, hash_type>>;
 
-using semi_map_type = cuco::legacy::static_map<hash_value_type,
-                                               size_type,
-                                               cuda::thread_scope_device,
-                                               cudf::detail::cuco_allocator<char>>;
-
 using row_hash_legacy =
   cudf::row_hasher<cudf::hashing::detail::default_hash, cudf::nullate::DYNAMIC>;
 

cpp/src/join/mixed_join_common_utils.cuh

@@ -25,6 +25,7 @@
 #include <rmm/device_uvector.hpp>
 
 #include <cub/cub.cuh>
+#include <cuco/static_set.cuh>
 
 namespace cudf {
 namespace detail {
@@ -160,6 +161,38 @@ struct pair_expression_equality : public expression_equality<has_nulls> {
   }
 };
 
+/**
+ * @brief Equality comparator that composes two row_equality comparators.
+ */
+struct double_row_equality_comparator {
+  row_equality const equality_comparator;
+  row_equality const conditional_comparator;
+
+  __device__ bool operator()(size_type lhs_row_index, size_type rhs_row_index) const noexcept
+  {
+    using experimental::row::lhs_index_type;
+    using experimental::row::rhs_index_type;
+
+    return equality_comparator(lhs_index_type{lhs_row_index}, rhs_index_type{rhs_row_index}) &&
+           conditional_comparator(lhs_index_type{lhs_row_index}, rhs_index_type{rhs_row_index});
+  }
+};
+
+// A CUDA Cooperative Group of 4 threads for the hash set.
+auto constexpr DEFAULT_MIXED_JOIN_CG_SIZE = 4;
+
+// The hash set type used by mixed_semi_join with the build_table.
+using hash_set_type = cuco::static_set<size_type,
+                                       cuco::extent<size_t>,
+                                       cuda::thread_scope_device,
+                                       double_row_equality_comparator,
+                                       cuco::linear_probing<DEFAULT_MIXED_JOIN_CG_SIZE, row_hash>,
+                                       cudf::detail::cuco_allocator<char>,
+                                       cuco::storage<1>>;
+
+// The hash_set_ref_type used by mixed_semi_join kerenels for probing.
+using hash_set_ref_type = hash_set_type::ref_type<cuco::contains_tag>;
+
 }  // namespace detail
 
 }  // namespace cudf

cpp/src/join/mixed_join_kernels_semi.cu

@@ -38,12 +38,16 @@ CUDF_KERNEL void __launch_bounds__(block_size)
                   table_device_view right_table,
                   table_device_view probe,
                   table_device_view build,
-                  row_hash const hash_probe,
                   row_equality const equality_probe,
-                  cudf::detail::semi_map_type::device_view hash_table_view,
+                  hash_set_ref_type set_ref,
                   cudf::device_span<bool> left_table_keep_mask,
                   cudf::ast::detail::expression_device_view device_expression_data)
 {
+  auto constexpr cg_size = hash_set_ref_type::cg_size;
+
+  auto const tile =
+    cooperative_groups::tiled_partition<cg_size>(cooperative_groups::this_thread_block());
+
   // Normally the casting of a shared memory array is used to create multiple
   // arrays of different types from the shared memory buffer, but here it is
   // used to circumvent conflicts between arrays of different types between
@@ -52,24 +56,24 @@ CUDF_KERNEL void __launch_bounds__(block_size)
   cudf::ast::detail::IntermediateDataType<has_nulls>* intermediate_storage =
     reinterpret_cast<cudf::ast::detail::IntermediateDataType<has_nulls>*>(raw_intermediate_storage);
   auto thread_intermediate_storage =
-    &intermediate_storage[threadIdx.x * device_expression_data.num_intermediates];
-
-  cudf::size_type const left_num_rows  = left_table.num_rows();
-  cudf::size_type const right_num_rows = right_table.num_rows();
-  auto const outer_num_rows            = left_num_rows;
+    &intermediate_storage[tile.meta_group_rank() * device_expression_data.num_intermediates];
 
-  cudf::size_type outer_row_index = threadIdx.x + blockIdx.x * block_size;
+  cudf::size_type const outer_num_rows = left_table.num_rows();
+  auto const outer_row_index = cudf::detail::grid_1d::global_thread_id<block_size>() / cg_size;
 
   auto evaluator = cudf::ast::detail::expression_evaluator<has_nulls>(
     left_table, right_table, device_expression_data);
 
   if (outer_row_index < outer_num_rows) {
+    // Make sure to swap_tables here as hash_set will use probe table as the left one.
+    auto constexpr swap_tables = true;
     // Figure out the number of elements for this key.
     auto equality = single_expression_equality<has_nulls>{
-      evaluator, thread_intermediate_storage, false, equality_probe};
+      evaluator, thread_intermediate_storage, swap_tables, equality_probe};
 
-    left_table_keep_mask[outer_row_index] =
-      hash_table_view.contains(outer_row_index, hash_probe, equality);
+    auto const set_ref_equality = set_ref.with_key_eq(equality);
+    auto const result           = set_ref_equality.contains(tile, outer_row_index);
+    if (tile.thread_rank() == 0) left_table_keep_mask[outer_row_index] = result;
   }
 }
 
@@ -78,9 +82,8 @@ void launch_mixed_join_semi(bool has_nulls,
                             table_device_view right_table,
                             table_device_view probe,
                             table_device_view build,
-                            row_hash const hash_probe,
                             row_equality const equality_probe,
-                            cudf::detail::semi_map_type::device_view hash_table_view,
+                            hash_set_ref_type set_ref,
                             cudf::device_span<bool> left_table_keep_mask,
                             cudf::ast::detail::expression_device_view device_expression_data,
                             detail::grid_1d const config,
@@ -94,9 +97,8 @@ void launch_mixed_join_semi(bool has_nulls,
         right_table,
         probe,
         build,
-        hash_probe,
         equality_probe,
-        hash_table_view,
+        set_ref,
         left_table_keep_mask,
         device_expression_data);
   } else {
@@ -106,9 +108,8 @@ void launch_mixed_join_semi(bool has_nulls,
         right_table,
         probe,
         build,
-        hash_probe,
         equality_probe,
-        hash_table_view,
+        set_ref,
         left_table_keep_mask,
         device_expression_data);
   }

cpp/src/join/mixed_join_kernels_semi.cuh

@@ -45,9 +45,8 @@ namespace detail {
  * @param[in] right_table The right table
  * @param[in] probe The table with which to probe the hash table for matches.
  * @param[in] build The table with which the hash table was built.
- * @param[in] hash_probe The hasher used for the probe table.
  * @param[in] equality_probe The equality comparator used when probing the hash table.
- * @param[in] hash_table_view The hash table built from `build`.
+ * @param[in] set_ref The hash table device view built from `build`.
  * @param[out] left_table_keep_mask The result of the join operation with "true" element indicating
  * the corresponding index from left table is present in output
  * @param[in] device_expression_data Container of device data required to evaluate the desired
@@ -58,9 +57,8 @@ void launch_mixed_join_semi(bool has_nulls,
                             table_device_view right_table,
                             table_device_view probe,
                             table_device_view build,
-                            row_hash const hash_probe,
                             row_equality const equality_probe,
-                            cudf::detail::semi_map_type::device_view hash_table_view,
+                            hash_set_ref_type set_ref,
                             cudf::device_span<bool> left_table_keep_mask,
                             cudf::ast::detail::expression_device_view device_expression_data,
                             detail::grid_1d const config,

cpp/src/join/mixed_join_semi.cu

@@ -46,45 +46,6 @@
 namespace cudf {
 namespace detail {
 
-namespace {
-/**
- * @brief Device functor to create a pair of hash value and index for a given row.
- */
-struct make_pair_function_semi {
-  __device__ __forceinline__ cudf::detail::pair_type operator()(size_type i) const noexcept
-  {
-    // The value is irrelevant since we only ever use the hash map to check for
-    // membership of a particular row index.
-    return cuco::make_pair(static_cast<hash_value_type>(i), 0);
-  }
-};
-
-/**
- * @brief Equality comparator that composes two row_equality comparators.
- */
-class double_row_equality {
- public:
-  double_row_equality(row_equality equality_comparator, row_equality conditional_comparator)
-    : _equality_comparator{equality_comparator}, _conditional_comparator{conditional_comparator}
-  {
-  }
-
-  __device__ bool operator()(size_type lhs_row_index, size_type rhs_row_index) const noexcept
-  {
-    using experimental::row::lhs_index_type;
-    using experimental::row::rhs_index_type;
-
-    return _equality_comparator(lhs_index_type{lhs_row_index}, rhs_index_type{rhs_row_index}) &&
-           _conditional_comparator(lhs_index_type{lhs_row_index}, rhs_index_type{rhs_row_index});
-  }
-
- private:
-  row_equality _equality_comparator;
-  row_equality _conditional_comparator;
-};
-
-}  // namespace
-
 std::unique_ptr<rmm::device_uvector<size_type>> mixed_join_semi(
   table_view const& left_equality,
   table_view const& right_equality,
@@ -96,7 +57,7 @@ std::unique_ptr<rmm::device_uvector<size_type>> mixed_join_semi(
   rmm::cuda_stream_view stream,
   rmm::device_async_resource_ref mr)
 {
-  CUDF_EXPECTS((join_type != join_kind::INNER_JOIN) && (join_type != join_kind::LEFT_JOIN) &&
+  CUDF_EXPECTS((join_type != join_kind::INNER_JOIN) and (join_type != join_kind::LEFT_JOIN) and
                  (join_type != join_kind::FULL_JOIN),
                "Inner, left, and full joins should use mixed_join.");
 
@@ -137,7 +98,7 @@ std::unique_ptr<rmm::device_uvector<size_type>> mixed_join_semi(
   // output column and follow the null-supporting expression evaluation code
   // path.
   auto const has_nulls = cudf::nullate::DYNAMIC{
-    cudf::has_nulls(left_equality) || cudf::has_nulls(right_equality) ||
+    cudf::has_nulls(left_equality) or cudf::has_nulls(right_equality) or
     binary_predicate.may_evaluate_null(left_conditional, right_conditional, stream)};
 
   auto const parser = ast::detail::expression_parser{
@@ -156,27 +117,20 @@ std::unique_ptr<rmm::device_uvector<size_type>> mixed_join_semi(
   auto right_conditional_view = table_device_view::create(right_conditional, stream);
 
   auto const preprocessed_build =
-    experimental::row::equality::preprocessed_table::create(build, stream);
+    cudf::experimental::row::equality::preprocessed_table::create(build, stream);
   auto const preprocessed_probe =
-    experimental::row::equality::preprocessed_table::create(probe, stream);
+    cudf::experimental::row::equality::preprocessed_table::create(probe, stream);
   auto const row_comparator =
-    cudf::experimental::row::equality::two_table_comparator{preprocessed_probe, preprocessed_build};
+    cudf::experimental::row::equality::two_table_comparator{preprocessed_build, preprocessed_probe};
   auto const equality_probe = row_comparator.equal_to<false>(has_nulls, compare_nulls);
 
-  semi_map_type hash_table{
-    compute_hash_table_size(build.num_rows()),
-    cuco::empty_key{std::numeric_limits<hash_value_type>::max()},
-    cuco::empty_value{cudf::detail::JoinNoneValue},
-    cudf::detail::cuco_allocator<char>{rmm::mr::polymorphic_allocator<char>{}, stream},
-    stream.value()};
-
   // Create hash table containing all keys found in right table
   // TODO: To add support for nested columns we will need to flatten in many
   // places. However, this probably isn't worth adding any time soon since we
   // won't be able to support AST conditions for those types anyway.
   auto const build_nulls    = cudf::nullate::DYNAMIC{cudf::has_nulls(build)};
   auto const row_hash_build = cudf::experimental::row::hash::row_hasher{preprocessed_build};
-  auto const hash_build     = row_hash_build.device_hasher(build_nulls);
+
   // Since we may see multiple rows that are identical in the equality tables
   // but differ in the conditional tables, the equality comparator used for
   // insertion must account for both sets of tables. An alternative solution
@@ -191,39 +145,48 @@ std::unique_ptr<rmm::device_uvector<size_type>> mixed_join_semi(
   auto const equality_build_equality =
     row_comparator_build.equal_to<false>(build_nulls, compare_nulls);
   auto const preprocessed_build_condtional =
-    experimental::row::equality::preprocessed_table::create(right_conditional, stream);
+    cudf::experimental::row::equality::preprocessed_table::create(right_conditional, stream);
   auto const row_comparator_conditional_build =
     cudf::experimental::row::equality::two_table_comparator{preprocessed_build_condtional,
                                                             preprocessed_build_condtional};
   auto const equality_build_conditional =
     row_comparator_conditional_build.equal_to<false>(build_nulls, compare_nulls);
-  double_row_equality equality_build{equality_build_equality, equality_build_conditional};
-  make_pair_function_semi pair_func_build{};
 
-  auto iter = cudf::detail::make_counting_transform_iterator(0, pair_func_build);
+  hash_set_type row_set{
+    {compute_hash_table_size(build.num_rows())},
+    cuco::empty_key{JoinNoneValue},
+    {equality_build_equality, equality_build_conditional},
+    {row_hash_build.device_hasher(build_nulls)},
+    {},
+    {},
+    cudf::detail::cuco_allocator<char>{rmm::mr::polymorphic_allocator<char>{}, stream},
+    {stream.value()}};
+
+  auto iter = thrust::make_counting_iterator(0);
 
   // skip rows that are null here.
   if ((compare_nulls == null_equality::EQUAL) or (not nullable(build))) {
-    hash_table.insert(iter, iter + right_num_rows, hash_build, equality_build, stream.value());
+    row_set.insert(iter, iter + right_num_rows, stream.value());
   } else {
     thrust::counting_iterator<cudf::size_type> stencil(0);
     auto const [row_bitmask, _] =
       cudf::detail::bitmask_and(build, stream, cudf::get_current_device_resource_ref());
     row_is_valid pred{static_cast<bitmask_type const*>(row_bitmask.data())};
 
     // insert valid rows
-    hash_table.insert_if(
-      iter, iter + right_num_rows, stencil, pred, hash_build, equality_build, stream.value());
+    row_set.insert_if(iter, iter + right_num_rows, stencil, pred, stream.value());
   }
 
-  auto hash_table_view = hash_table.get_device_view();
-
   detail::grid_1d const config(outer_num_rows, DEFAULT_JOIN_BLOCK_SIZE);
-  auto const shmem_size_per_block = parser.shmem_per_thread * config.num_threads_per_block;
+  auto const shmem_size_per_block =
+    parser.shmem_per_thread *
+    cuco::detail::int_div_ceil(config.num_threads_per_block, hash_set_type::cg_size);
 
   auto const row_hash   = cudf::experimental::row::hash::row_hasher{preprocessed_probe};
   auto const hash_probe = row_hash.device_hasher(has_nulls);
 
+  hash_set_ref_type const row_set_ref = row_set.ref(cuco::contains).with_hash_function(hash_probe);
+
   // Vector used to indicate indices from left/probe table which are present in output
   auto left_table_keep_mask = rmm::device_uvector<bool>(probe.num_rows(), stream);
 
@@ -232,9 +195,8 @@ std::unique_ptr<rmm::device_uvector<size_type>> mixed_join_semi(
                          *right_conditional_view,
                          *probe_view,
                          *build_view,
-                         hash_probe,
                          equality_probe,
-                         hash_table_view,
+                         row_set_ref,
                          cudf::device_span<bool>(left_table_keep_mask),
                          parser.device_expression_data,
                          config,