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| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you 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. | ||
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| #include "arrow/compute/special_form.h" | ||
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| #include "arrow/compute/api_vector.h" | ||
| #include "arrow/compute/exec.h" | ||
| #include "arrow/compute/expression.h" | ||
| #include "arrow/compute/expression_internal.h" | ||
| #include "arrow/compute/registry.h" | ||
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| namespace arrow::compute { | ||
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| Result<Datum> Permute(const Datum& values, const Datum& indices, int64_t output_length) { | ||
| return Datum(); | ||
| } | ||
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| Result<TypeHolder> IfElseSpecialForm::Resolve(std::vector<Expression>* arguments, | ||
| ExecContext* exec_context) const { | ||
| ARROW_ASSIGN_OR_RAISE(auto function, | ||
| exec_context->func_registry()->GetFunction("if_else")); | ||
| std::vector<TypeHolder> types = GetTypes(*arguments); | ||
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| // TODO: DispatchBest and implicit cast. | ||
| ARROW_ASSIGN_OR_RAISE(auto maybe_exact_match, function->DispatchExact(types)); | ||
| compute::KernelContext kernel_context(exec_context, maybe_exact_match); | ||
| if (maybe_exact_match->init) { | ||
| const FunctionOptions* options = function->default_options(); | ||
| ARROW_ASSIGN_OR_RAISE( | ||
| auto kernel_state, | ||
| maybe_exact_match->init(&kernel_context, {maybe_exact_match, types, options})); | ||
| kernel_context.SetState(kernel_state.get()); | ||
| } | ||
| return maybe_exact_match->signature->out_type().Resolve(&kernel_context, types); | ||
| } | ||
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| namespace { | ||
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| Result<ExecBatch> TakeBySelectionVector(const ExecBatch& input, | ||
| const Datum& selection_vector, | ||
| ExecContext* exec_context) { | ||
| std::vector<Datum> values(input.num_values()); | ||
| for (int i = 0; i < input.num_values(); ++i) { | ||
| ARROW_ASSIGN_OR_RAISE( | ||
| values[i], Take(input[i], selection_vector, TakeOptions{/*boundcheck=*/false}, | ||
| exec_context)); | ||
| } | ||
| return ExecBatch::Make(std::move(values), selection_vector.length()); | ||
| } | ||
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| std::shared_ptr<ChunkedArray> ChunkedArrayFromDatums(const std::vector<Datum>& datums) { | ||
| std::vector<std::shared_ptr<Array>> chunks; | ||
| for (const auto& datum : datums) { | ||
| DCHECK(datum.is_arraylike()); | ||
| if (datum.is_array()) { | ||
| chunks.push_back(datum.make_array()); | ||
| } else { | ||
| DCHECK(datum.is_chunked_array()); | ||
| for (const auto& chunk : datum.chunked_array()->chunks()) { | ||
| chunks.push_back(chunk); | ||
| } | ||
| } | ||
| } | ||
| return std::make_shared<ChunkedArray>(std::move(chunks)); | ||
| } | ||
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|
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| } // namespace | ||
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| Result<Datum> IfElseSpecialForm::Execute(const std::vector<Expression>& arguments, | ||
| const ExecBatch& input, | ||
| compute::ExecContext* exec_context) const { | ||
| // TODO: Selection vector aware path. | ||
| DCHECK_EQ(input.selection_vector, nullptr); | ||
| DCHECK_EQ(arguments.size(), 3); | ||
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| const auto& cond_expr = arguments[0]; | ||
| DCHECK_EQ(cond_expr.type()->id(), Type::BOOL); | ||
| const auto& if_true_expr = arguments[1]; | ||
| const auto& if_false_expr = arguments[2]; | ||
| DCHECK_EQ(if_true_expr.type()->id(), if_false_expr.type()->id()); | ||
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| ARROW_ASSIGN_OR_RAISE(auto cond, | ||
| ExecuteScalarExpression(cond_expr, input, exec_context)); | ||
| DCHECK_EQ(cond.type()->id(), Type::BOOL); | ||
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| ARROW_ASSIGN_OR_RAISE(auto sel_true, | ||
| CallFunction("indices_nonzero", {cond}, exec_context)); | ||
| ARROW_ASSIGN_OR_RAISE(auto input_true, | ||
| TakeBySelectionVector(input, sel_true, exec_context)); | ||
| ARROW_ASSIGN_OR_RAISE(auto if_true, | ||
| ExecuteScalarExpression(if_true_expr, input_true, exec_context)); | ||
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| ARROW_ASSIGN_OR_RAISE(auto cond_inverted, CallFunction("invert", {cond}, exec_context)); | ||
| ARROW_ASSIGN_OR_RAISE(auto sel_false, | ||
| CallFunction("indices_nonzero", {cond_inverted}, exec_context)); | ||
| ARROW_ASSIGN_OR_RAISE(auto input_false, | ||
| TakeBySelectionVector(input, sel_false, exec_context)); | ||
| ARROW_ASSIGN_OR_RAISE( | ||
| auto if_false, ExecuteScalarExpression(if_false_expr, input_false, exec_context)); | ||
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| auto result = ChunkedArrayFromDatums({if_true, if_false}); | ||
| auto sel = ChunkedArrayFromDatums({sel_true, sel_false}); | ||
| return Permute(result, sel, input.length); | ||
| } | ||
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| } // namespace arrow::compute |
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