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| /* | ||
| * Copyright (c) 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. | ||
| * 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. | ||
| */ | ||
|
|
||
| #include "../utilities/timer.hpp" | ||
| #include "utils.hpp" | ||
|
|
||
| #include <cudf/ast/expressions.hpp> | ||
| #include <cudf/column/column.hpp> | ||
| #include <cudf/scalar/scalar.hpp> | ||
|
|
||
| /** | ||
| * @file q10.cpp | ||
| * @brief Implement query 10 of the TPC-H benchmark. | ||
| * | ||
| * create view customer as select * from '/tables/scale-1/customer.parquet'; | ||
| * create view orders as select * from '/tables/scale-1/orders.parquet'; | ||
| * create view lineitem as select * from '/tables/scale-1/lineitem.parquet'; | ||
| * create view nation as select * from '/tables/scale-1/nation.parquet'; | ||
| * | ||
| * select | ||
| * c_custkey, | ||
| * c_name, | ||
| * sum(l_extendedprice * (1 - l_discount)) as revenue, | ||
| * c_acctbal, | ||
| * n_name, | ||
| * c_address, | ||
| * c_phone, | ||
| * c_comment | ||
| * from | ||
| * customer, | ||
| * orders, | ||
| * lineitem, | ||
| * nation | ||
| * where | ||
| * c_custkey = o_custkey | ||
| * and l_orderkey = o_orderkey | ||
| * and o_orderdate >= date '1993-10-01' | ||
| * and o_orderdate < date '1994-01-01' | ||
| * and l_returnflag = 'R' | ||
| * and c_nationkey = n_nationkey | ||
| * group by | ||
| * c_custkey, | ||
| * c_name, | ||
| * c_acctbal, | ||
| * c_phone, | ||
| * n_name, | ||
| * c_address, | ||
| * c_comment | ||
| * order by | ||
| * revenue desc; | ||
| */ | ||
|
|
||
| /** | ||
| * @brief Calculate the revenue column | ||
| * | ||
| * @param extendedprice The extended price column | ||
| * @param discount The discount column | ||
| * @param stream The CUDA stream used for device memory operations and kernel launches. | ||
| * @param mr Device memory resource used to allocate the returned column's device memory. | ||
| */ | ||
| [[nodiscard]] std::unique_ptr<cudf::column> calc_revenue( | ||
| cudf::column_view const& extendedprice, | ||
| cudf::column_view const& discount, | ||
| rmm::cuda_stream_view stream = cudf::get_default_stream(), | ||
| rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource()) | ||
| { | ||
| auto const one = cudf::numeric_scalar<double>(1); | ||
| auto const one_minus_discount = | ||
| cudf::binary_operation(one, discount, cudf::binary_operator::SUB, discount.type(), stream, mr); | ||
| auto const revenue_type = cudf::data_type{cudf::type_id::FLOAT64}; | ||
| auto revenue = cudf::binary_operation(extendedprice, | ||
| one_minus_discount->view(), | ||
| cudf::binary_operator::MUL, | ||
| revenue_type, | ||
| stream, | ||
| mr); | ||
| return revenue; | ||
| } | ||
| int main(int argc, char const** argv) | ||
| { | ||
| auto const args = parse_args(argc, argv); | ||
|
|
||
| // Use a memory pool | ||
| auto resource = create_memory_resource(args.memory_resource_type); | ||
| rmm::mr::set_current_device_resource(resource.get()); | ||
|
|
||
| cudf::examples::timer timer; | ||
|
|
||
| // Define the column projection and filter predicate for the `orders` table | ||
| std::vector<std::string> const orders_cols = {"o_custkey", "o_orderkey", "o_orderdate"}; | ||
| auto const o_orderdate_ref = cudf::ast::column_reference(std::distance( | ||
| orders_cols.begin(), std::find(orders_cols.begin(), orders_cols.end(), "o_orderdate"))); | ||
| auto o_orderdate_lower = | ||
| cudf::timestamp_scalar<cudf::timestamp_D>(days_since_epoch(1993, 10, 1), true); | ||
| auto const o_orderdate_lower_limit = cudf::ast::literal(o_orderdate_lower); | ||
| auto const o_orderdate_pred_lower = cudf::ast::operation( | ||
| cudf::ast::ast_operator::GREATER_EQUAL, o_orderdate_ref, o_orderdate_lower_limit); | ||
| auto o_orderdate_upper = | ||
| cudf::timestamp_scalar<cudf::timestamp_D>(days_since_epoch(1994, 1, 1), true); | ||
| auto const o_orderdate_upper_limit = cudf::ast::literal(o_orderdate_upper); | ||
| auto const o_orderdate_pred_upper = | ||
| cudf::ast::operation(cudf::ast::ast_operator::LESS, o_orderdate_ref, o_orderdate_upper_limit); | ||
| auto const orders_pred = std::make_unique<cudf::ast::operation>( | ||
| cudf::ast::ast_operator::LOGICAL_AND, o_orderdate_pred_lower, o_orderdate_pred_upper); | ||
|
|
||
| auto const l_returnflag_ref = cudf::ast::column_reference(3); | ||
| auto r_scalar = cudf::string_scalar("R"); | ||
| auto const r_literal = cudf::ast::literal(r_scalar); | ||
| auto const lineitem_pred = std::make_unique<cudf::ast::operation>( | ||
| cudf::ast::ast_operator::EQUAL, l_returnflag_ref, r_literal); | ||
|
|
||
| // Read out the tables from parquet files | ||
| // while pushing down the column projections and filter predicates | ||
| auto const customer = read_parquet( | ||
| args.dataset_dir + "/customer.parquet", | ||
| {"c_custkey", "c_name", "c_nationkey", "c_acctbal", "c_address", "c_phone", "c_comment"}); | ||
| auto const orders = | ||
| read_parquet(args.dataset_dir + "/orders.parquet", orders_cols, std::move(orders_pred)); | ||
| auto const lineitem = | ||
| read_parquet(args.dataset_dir + "/lineitem.parquet", | ||
| {"l_extendedprice", "l_discount", "l_orderkey", "l_returnflag"}, | ||
| std::move(lineitem_pred)); | ||
| auto const nation = read_parquet(args.dataset_dir + "/nation.parquet", {"n_name", "n_nationkey"}); | ||
|
|
||
| // Perform the joins | ||
| auto const join_a = apply_inner_join(customer, nation, {"c_nationkey"}, {"n_nationkey"}); | ||
| auto const join_b = apply_inner_join(lineitem, orders, {"l_orderkey"}, {"o_orderkey"}); | ||
| auto const joined_table = apply_inner_join(join_a, join_b, {"c_custkey"}, {"o_custkey"}); | ||
|
|
||
| // Calculate and append the `revenue` column | ||
| auto revenue = | ||
| calc_revenue(joined_table->column("l_extendedprice"), joined_table->column("l_discount")); | ||
| (*joined_table).append(revenue, "revenue"); | ||
|
|
||
| // Perform the groupby operation | ||
| auto const groupedby_table = apply_groupby( | ||
| joined_table, | ||
| groupby_context_t{ | ||
| {"c_custkey", "c_name", "c_acctbal", "c_phone", "n_name", "c_address", "c_comment"}, | ||
| { | ||
| {"revenue", {{cudf::aggregation::Kind::SUM, "revenue"}}}, | ||
| }}); | ||
|
|
||
| // Perform the order by operation | ||
| auto const orderedby_table = | ||
| apply_orderby(groupedby_table, {"revenue"}, {cudf::order::DESCENDING}); | ||
|
|
||
| timer.print_elapsed_millis(); | ||
|
|
||
| // Write query result to a parquet file | ||
| orderedby_table->to_parquet("q10.parquet"); | ||
| return 0; | ||
| } |
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