Expose streams in all public sorting APIs

cpp/include/cudf/sorting.hpp

@@ -18,6 +18,7 @@
 
 #include <cudf/aggregation.hpp>
 #include <cudf/types.hpp>
+#include <cudf/utilities/default_stream.hpp>
 
 #include <rmm/mr/device/per_device_resource.hpp>
 
@@ -43,6 +44,7 @@ namespace cudf {
  * @param null_precedence The desired order of null compared to other elements
  * for each column. Size must be equal to `input.num_columns()` or empty.
  * If empty, all columns will be sorted in `null_order::BEFORE`.
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource used to allocate the returned column's device memory
  * @return A non-nullable column of elements containing the permuted row indices of
  * `input` if it were sorted
@@ -51,6 +53,7 @@ std::unique_ptr<column> sorted_order(
   table_view const& input,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -65,27 +68,30 @@ std::unique_ptr<column> stable_sorted_order(
   table_view const& input,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Checks whether the rows of a `table` are sorted in a lexicographical
  *        order.
  *
- * @param[in] table             Table whose rows need to be compared for ordering
- * @param[in] column_order      The expected sort order for each column. Size
+ * @param table             Table whose rows need to be compared for ordering
+ * @param column_order      The expected sort order for each column. Size
  *                              must be equal to `in.num_columns()` or empty. If
  *                              empty, it is expected all columns are in
  *                              ascending order.
- * @param[in] null_precedence   The desired order of null compared to other
+ * @param null_precedence   The desired order of null compared to other
  *                              elements for each column. Size must be equal to
  *                              `input.num_columns()` or empty. If empty,
  *                              `null_order::BEFORE` is assumed for all columns.
  *
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @returns bool                true if sorted as expected, false if not
  */
 bool is_sorted(cudf::table_view const& table,
                std::vector<order> const& column_order,
-               std::vector<null_order> const& null_precedence);
+               std::vector<null_order> const& null_precedence,
+               rmm::cuda_stream_view stream = cudf::get_default_stream());
 
 /**
  * @brief Performs a lexicographic sort of the rows of a table
@@ -98,13 +104,15 @@ bool is_sorted(cudf::table_view const& table,
  * elements for each column in `input`. Size must be equal to
  * `input.num_columns()` or empty. If empty, all columns will be sorted with
  * `null_order::BEFORE`.
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource used to allocate the returned table's device memory
  * @return New table containing the desired sorted order of `input`
  */
 std::unique_ptr<table> sort(
   table_view const& input,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -124,6 +132,7 @@ std::unique_ptr<table> sort(
  * elements for each column in `keys`. Size must be equal to
  * `keys.num_columns()` or empty. If empty, all columns will be sorted with
  * `null_order::BEFORE`.
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource used to allocate the returned table's device memory
  * @return The reordering of `values` determined by the lexicographic order of
  * the rows of `keys`.
@@ -133,6 +142,7 @@ std::unique_ptr<table> sort_by_key(
   table_view const& keys,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -154,6 +164,7 @@ std::unique_ptr<table> sort_by_key(
  * elements for each column in `keys`. Size must be equal to
  * `keys.num_columns()` or empty. If empty, all columns will be sorted with
  * `null_order::BEFORE`.
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource used to allocate the returned table's device memory
  * @return The reordering of `values` determined by the lexicographic order of
  * the rows of `keys`.
@@ -163,6 +174,7 @@ std::unique_ptr<table> stable_sort_by_key(
   table_view const& keys,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -189,6 +201,7 @@ std::unique_ptr<table> stable_sort_by_key(
  * @param null_precedence The desired order of null compared to other elements
  * for column
  * @param percentage flag to convert ranks to percentage in range (0,1]
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource used to allocate the returned column's device memory
  * @return A column of containing the rank of the each element of the column of `input`. The output
  * column type will be `size_type`column by default or else `double` when
@@ -201,6 +214,7 @@ std::unique_ptr<column> rank(
   null_policy null_handling,
   null_order null_precedence,
   bool percentage,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -241,6 +255,7 @@ std::unique_ptr<column> rank(
  * elements for each column in `keys`. Size must be equal to
  * `keys.num_columns()` or empty. If empty, all columns will be sorted with
  * `null_order::BEFORE`.
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource to allocate any returned objects
  * @return sorted order of the segment sorted table
  *
@@ -250,6 +265,7 @@ std::unique_ptr<column> segmented_sorted_order(
   column_view const& segment_offsets,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -262,6 +278,7 @@ std::unique_ptr<column> stable_segmented_sorted_order(
   column_view const& segment_offsets,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -306,6 +323,7 @@ std::unique_ptr<column> stable_segmented_sorted_order(
  * elements for each column in `keys`. Size must be equal to
  * `keys.num_columns()` or empty. If empty, all columns will be sorted with
  * `null_order::BEFORE`.
+ * @param stream CUDA stream used for device memory operations and kernel launches
  * @param mr Device memory resource to allocate any returned objects
  * @return table with elements in each segment sorted
  *
@@ -316,6 +334,7 @@ std::unique_ptr<table> segmented_sort_by_key(
   column_view const& segment_offsets,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /**
@@ -329,6 +348,7 @@ std::unique_ptr<table> stable_segmented_sort_by_key(
   column_view const& segment_offsets,
   std::vector<order> const& column_order         = {},
   std::vector<null_order> const& null_precedence = {},
+  rmm::cuda_stream_view stream                   = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr            = rmm::mr::get_current_device_resource());
 
 /** @} */  // end of group

cpp/src/lists/segmented_sort.cu

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -70,13 +70,13 @@ std::unique_ptr<column> sort_lists(lists_column_view const& input,
   auto output_offset = build_output_offsets(input, stream, mr);
   auto const child   = input.get_sliced_child(stream);
 
-  auto const sorted_child_table = segmented_sort_by_key(table_view{{child}},
-                                                        table_view{{child}},
-                                                        output_offset->view(),
-                                                        {column_order},
-                                                        {null_precedence},
-                                                        stream,
-                                                        mr);
+  auto const sorted_child_table = cudf::detail::segmented_sort_by_key(table_view{{child}},
+                                                                      table_view{{child}},
+                                                                      output_offset->view(),
+                                                                      {column_order},
+                                                                      {null_precedence},
+                                                                      stream,
+                                                                      mr);
 
   return make_lists_column(input.size(),
                            std::move(output_offset),
@@ -98,13 +98,13 @@ std::unique_ptr<column> stable_sort_lists(lists_column_view const& input,
   auto output_offset = build_output_offsets(input, stream, mr);
   auto const child   = input.get_sliced_child(stream);
 
-  auto const sorted_child_table = stable_segmented_sort_by_key(table_view{{child}},
-                                                               table_view{{child}},
-                                                               output_offset->view(),
-                                                               {column_order},
-                                                               {null_precedence},
-                                                               stream,
-                                                               mr);
+  auto const sorted_child_table = cudf::detail::stable_segmented_sort_by_key(table_view{{child}},
+                                                                             table_view{{child}},
+                                                                             output_offset->view(),
+                                                                             {column_order},
+                                                                             {null_precedence},
+                                                                             stream,
+                                                                             mr);
 
   return make_lists_column(input.size(),
                            std::move(output_offset),

cpp/src/sort/is_sorted.cu

@@ -73,7 +73,8 @@ bool is_sorted(cudf::table_view const& in,
 
 bool is_sorted(cudf::table_view const& in,
                std::vector<order> const& column_order,
-               std::vector<null_order> const& null_precedence)
+               std::vector<null_order> const& null_precedence,
+               rmm::cuda_stream_view stream)
 {
   CUDF_FUNC_RANGE();
   if (in.num_columns() == 0 || in.num_rows() == 0) { return true; }
@@ -89,7 +90,7 @@ bool is_sorted(cudf::table_view const& in,
       "Number of columns in the table doesn't match the vector null_precedence's size .\n");
   }
 
-  return detail::is_sorted(in, column_order, null_precedence, cudf::get_default_stream());
+  return detail::is_sorted(in, column_order, null_precedence, stream);
 }
 
 }  // namespace cudf

cpp/src/sort/rank.cu

@@ -366,16 +366,11 @@ std::unique_ptr<column> rank(column_view const& input,
                              null_policy null_handling,
                              null_order null_precedence,
                              bool percentage,
+                             rmm::cuda_stream_view stream,
                              rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
-  return detail::rank(input,
-                      method,
-                      column_order,
-                      null_handling,
-                      null_precedence,
-                      percentage,
-                      cudf::get_default_stream(),
-                      mr);
+  return detail::rank(
+    input, method, column_order, null_handling, null_precedence, percentage, stream, mr);
 }
 }  // namespace cudf

cpp/src/sort/segmented_sort.cu

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -81,23 +81,25 @@ std::unique_ptr<column> segmented_sorted_order(table_view const& keys,
                                                column_view const& segment_offsets,
                                                std::vector<order> const& column_order,
                                                std::vector<null_order> const& null_precedence,
+                                               rmm::cuda_stream_view stream,
                                                rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
   return detail::segmented_sorted_order(
-    keys, segment_offsets, column_order, null_precedence, cudf::get_default_stream(), mr);
+    keys, segment_offsets, column_order, null_precedence, stream, mr);
 }
 
 std::unique_ptr<table> segmented_sort_by_key(table_view const& values,
                                              table_view const& keys,
                                              column_view const& segment_offsets,
                                              std::vector<order> const& column_order,
                                              std::vector<null_order> const& null_precedence,
+                                             rmm::cuda_stream_view stream,
                                              rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
   return detail::segmented_sort_by_key(
-    values, keys, segment_offsets, column_order, null_precedence, cudf::get_default_stream(), mr);
+    values, keys, segment_offsets, column_order, null_precedence, stream, mr);
 }
 
 }  // namespace cudf

cpp/src/sort/segmented_sort_impl.cuh

@@ -166,7 +166,7 @@ std::unique_ptr<column> fast_segmented_sorted_order(column_view const& input,
   // Unfortunately, CUB's segmented sort functions cannot accept iterators.
   // We have to build a pre-filled sequence of indices as input.
   auto sorted_indices =
-    cudf::detail::sequence(input.size(), numeric_scalar<size_type>{0}, stream, mr);
+    cudf::detail::sequence(input.size(), numeric_scalar<size_type>{0, true, stream}, stream, mr);
   auto indices_view = sorted_indices->mutable_view();
 
   cudf::type_dispatcher<dispatch_storage_type>(input.type(),

cpp/src/sort/sort.cu

@@ -109,30 +109,32 @@ std::unique_ptr<table> sort(table_view const& input,
 std::unique_ptr<column> sorted_order(table_view const& input,
                                      std::vector<order> const& column_order,
                                      std::vector<null_order> const& null_precedence,
+                                     rmm::cuda_stream_view stream,
                                      rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
-  return detail::sorted_order(input, column_order, null_precedence, cudf::get_default_stream(), mr);
+  return detail::sorted_order(input, column_order, null_precedence, stream, mr);
 }
 
 std::unique_ptr<table> sort(table_view const& input,
                             std::vector<order> const& column_order,
                             std::vector<null_order> const& null_precedence,
+                            rmm::cuda_stream_view stream,
                             rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
-  return detail::sort(input, column_order, null_precedence, cudf::get_default_stream(), mr);
+  return detail::sort(input, column_order, null_precedence, stream, mr);
 }
 
 std::unique_ptr<table> sort_by_key(table_view const& values,
                                    table_view const& keys,
                                    std::vector<order> const& column_order,
                                    std::vector<null_order> const& null_precedence,
+                                   rmm::cuda_stream_view stream,
                                    rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
-  return detail::sort_by_key(
-    values, keys, column_order, null_precedence, cudf::get_default_stream(), mr);
+  return detail::sort_by_key(values, keys, column_order, null_precedence, stream, mr);
 }
 
 }  // namespace cudf

cpp/src/sort/stable_segmented_sort.cu

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -55,23 +55,25 @@ std::unique_ptr<column> stable_segmented_sorted_order(
   column_view const& segment_offsets,
   std::vector<order> const& column_order,
   std::vector<null_order> const& null_precedence,
+  rmm::cuda_stream_view stream,
   rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
   return detail::stable_segmented_sorted_order(
-    keys, segment_offsets, column_order, null_precedence, cudf::get_default_stream(), mr);
+    keys, segment_offsets, column_order, null_precedence, stream, mr);
 }
 
 std::unique_ptr<table> stable_segmented_sort_by_key(table_view const& values,
                                                     table_view const& keys,
                                                     column_view const& segment_offsets,
                                                     std::vector<order> const& column_order,
                                                     std::vector<null_order> const& null_precedence,
+                                                    rmm::cuda_stream_view stream,
                                                     rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
   return detail::stable_segmented_sort_by_key(
-    values, keys, segment_offsets, column_order, null_precedence, cudf::get_default_stream(), mr);
+    values, keys, segment_offsets, column_order, null_precedence, stream, mr);
 }
 
 }  // namespace cudf