Refactor contiguous_split API into contiguous_split.hpp

conda/recipes/libcudf/meta.yaml

@@ -91,6 +91,7 @@ outputs:
         - test -f $PREFIX/include/cudf/column/column_factories.hpp
         - test -f $PREFIX/include/cudf/column/column_view.hpp
         - test -f $PREFIX/include/cudf/concatenate.hpp
+        - test -f $PREFIX/include/cudf/contiguous_split.hpp
         - test -f $PREFIX/include/cudf/copying.hpp
         - test -f $PREFIX/include/cudf/datetime.hpp
         - test -f $PREFIX/include/cudf/timezone.hpp
@@ -99,6 +100,7 @@ outputs:
         - test -f $PREFIX/include/cudf/detail/binaryop.hpp
         - test -f $PREFIX/include/cudf/detail/calendrical_month_sequence.cuh
         - test -f $PREFIX/include/cudf/detail/concatenate.hpp
+        - test -f $PREFIX/include/cudf/detail/contiguous_split.hpp
         - test -f $PREFIX/include/cudf/detail/copy.hpp
         - test -f $PREFIX/include/cudf/detail/datetime.hpp
         - test -f $PREFIX/include/cudf/detail/fill.hpp

cpp/benchmarks/copying/contiguous_split.cu

@@ -21,7 +21,7 @@
 #include <cudf_test/column_wrapper.hpp>
 
 #include <cudf/column/column.hpp>
-#include <cudf/copying.hpp>
+#include <cudf/contiguous_split.hpp>
 
 #include <thrust/iterator/counting_iterator.h>
 

cpp/include/cudf/contiguous_split.hpp

@@ -0,0 +1,198 @@
+/*
+ * Copyright (c) 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.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <cudf/table/table.hpp>
+#include <cudf/types.hpp>
+
+#include <memory>
+#include <vector>
+
+namespace cudf {
+
+/**
+ * @addtogroup column_copy
+ * @{
+ * @file
+ * @brief Table APIs for contiguous_split, pack, unpack, and metadadata
+ */
+
+/**
+ * @brief Column data in a serialized format
+ *
+ * @ingroup copy_split
+ *
+ * Contains data from an array of columns in two contiguous buffers: one on host, which contains
+ * table metadata and one on device which contains the table data.
+ */
+struct packed_columns {
+  packed_columns()
+    : metadata(std::make_unique<std::vector<uint8_t>>()),
+      gpu_data(std::make_unique<rmm::device_buffer>())
+  {
+  }
+
+  /**
+   * @brief Construct a new packed columns object
+   *
+   * @param md Host-side metadata buffer
+   * @param gd Device-side data buffer
+   */
+  packed_columns(std::unique_ptr<std::vector<uint8_t>>&& md,
+                 std::unique_ptr<rmm::device_buffer>&& gd)
+    : metadata(std::move(md)), gpu_data(std::move(gd))
+  {
+  }
+
+  std::unique_ptr<std::vector<uint8_t>> metadata;  ///< Host-side metadata buffer
+  std::unique_ptr<rmm::device_buffer> gpu_data;    ///< Device-side data buffer
+};
+
+/**
+ * @brief The result(s) of a cudf::contiguous_split
+ *
+ * @ingroup copy_split
+ *
+ * Each table_view resulting from a split operation performed by contiguous_split,
+ * will be returned wrapped in a `packed_table`. The table_view and internal
+ * column_views in this struct are not owned by a top level cudf::table or cudf::column.
+ * The backing memory and metadata is instead owned by the `data` field and is in one
+ * contiguous block.
+ *
+ * The user is responsible for assuring that the `table` or any derived table_views do
+ * not outlive the memory owned by `data`.
+ */
+struct packed_table {
+  cudf::table_view table;  ///< Result table_view of a cudf::contiguous_split
+  packed_columns data;     ///< Column data owned
+};
+
+/**
+ * @brief Performs a deep-copy split of a `table_view` into a vector of `packed_table` where each
+ * `packed_table` is using a single contiguous block of memory for all of the split's column data.
+ *
+ * @ingroup copy_split
+ *
+ * The memory for the output views is allocated in a single contiguous `rmm::device_buffer` returned
+ * in the `packed_table`. There is no top-level owning table.
+ *
+ * The returned views of `input` are constructed from a vector of indices, that indicate
+ * where each split should occur. The `i`th returned `table_view` is sliced as
+ * `[0, splits[i])` if `i`=0, else `[splits[i], input.size())` if `i` is the last view and
+ * `[splits[i-1], splits[i]]` otherwise.
+ *
+ * For all `i` it is expected `splits[i] <= splits[i+1] <= input.size()`.
+ * For a `splits` size N, there will always be N+1 splits in the output.
+ *
+ * @note It is the caller's responsibility to ensure that the returned views
+ * do not outlive the viewed device memory contained in the `all_data` field of the
+ * returned packed_table.
+ *
+ * @code{.pseudo}
+ * Example:
+ * input:   [{10, 12, 14, 16, 18, 20, 22, 24, 26, 28},
+ *           {50, 52, 54, 56, 58, 60, 62, 64, 66, 68}]
+ * splits:  {2, 5, 9}
+ * output:  [{{10, 12}, {14, 16, 18}, {20, 22, 24, 26}, {28}},
+ *           {{50, 52}, {54, 56, 58}, {60, 62, 64, 66}, {68}}]
+ * @endcode
+ *
+ *
+ * @throws cudf::logic_error if `splits` has end index > size of `input`.
+ * @throws cudf::logic_error When the value in `splits` is not in the range [0, input.size()).
+ * @throws cudf::logic_error When the values in the `splits` are 'strictly decreasing'.
+ *
+ * @param input View of a table to split
+ * @param splits A vector of indices where the view will be split
+ * @param mr An optional memory resource to use for all returned device allocations
+ * @return The set of requested views of `input` indicated by the `splits` and the viewed memory
+ * buffer
+ */
+std::vector<packed_table> contiguous_split(
+  cudf::table_view const& input,
+  std::vector<size_type> const& splits,
+  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+/**
+ * @brief Deep-copy a `table_view` into a serialized contiguous memory format.
+ *
+ * The metadata from the `table_view` is copied into a host vector of bytes and the data from the
+ * `table_view` is copied into a `device_buffer`. Pass the output of this function into
+ * `cudf::unpack` to deserialize.
+ *
+ * @param input View of the table to pack
+ * @param mr An optional memory resource to use for all returned device allocations
+ * @return packed_columns A struct containing the serialized metadata and data in contiguous host
+ *         and device memory respectively
+ */
+packed_columns pack(cudf::table_view const& input,
+                    rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+/**
+ * @brief Produce the metadata used for packing a table stored in a contiguous buffer.
+ *
+ * The metadata from the `table_view` is copied into a host vector of bytes which can be used to
+ * construct a `packed_columns` or `packed_table` structure. The caller is responsible for
+ * guaranteeing that that all of the columns in the table point into `contiguous_buffer`.
+ *
+ * @param table View of the table to pack
+ * @param contiguous_buffer A contiguous buffer of device memory which contains the data referenced
+ *        by the columns in `table`
+ * @param buffer_size The size of `contiguous_buffer`
+ * @return Vector of bytes representing the metadata used to `unpack` a packed_columns struct
+ */
+std::vector<uint8_t> pack_metadata(table_view const& table,
+                                   uint8_t const* contiguous_buffer,
+                                   size_t buffer_size);
+
+/**
+ * @brief Deserialize the result of `cudf::pack`.
+ *
+ * Converts the result of a serialized table into a `table_view` that points to the data stored in
+ * the contiguous device buffer contained in `input`.
+ *
+ * It is the caller's responsibility to ensure that the `table_view` in the output does not outlive
+ * the data in the input.
+ *
+ * No new device memory is allocated in this function.
+ *
+ * @param input The packed columns to unpack
+ * @return The unpacked `table_view`
+ */
+table_view unpack(packed_columns const& input);
+
+/**
+ * @brief Deserialize the result of `cudf::pack`.
+ *
+ * Converts the result of a serialized table into a `table_view` that points to the data stored in
+ * the contiguous device buffer contained in `gpu_data` using the metadata contained in the host
+ * buffer `metadata`.
+ *
+ * It is the caller's responsibility to ensure that the `table_view` in the output does not outlive
+ * the data in the input.
+ *
+ * No new device memory is allocated in this function.
+ *
+ * @param metadata The host-side metadata buffer resulting from the initial pack() call
+ * @param gpu_data The device-side contiguous buffer storing the data that will be referenced by
+ *        the resulting `table_view`
+ * @return The unpacked `table_view`
+ */
+table_view unpack(uint8_t const* metadata, uint8_t const* gpu_data);
+
+/** @} */
+}  // namespace cudf