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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. #pragma once #include #include #include #include #include "arrow/status.h" #include "gandiva/arrow.h" #include "gandiva/configuration.h" #include "gandiva/expression.h" #include "gandiva/selection_vector.h" #include "gandiva/visibility.h" namespace gandiva { class LLVMGenerator; /// \brief projection using expressions. /// /// A projector is built for a specific schema and vector of expressions. /// Once the projector is built, it can be used to evaluate many row batches. class GANDIVA_EXPORT Projector { public: // Inline dtor will attempt to resolve the destructor for // LLVMGenerator on MSVC, so we compile the dtor in the object code ~Projector(); /// Build a default projector for the given schema to evaluate /// the vector of expressions. /// /// \param[in] schema schema for the record batches, and the expressions. /// \param[in] exprs vector of expressions. /// \param[out] projector the returned projector object static Status Make(SchemaPtr schema, const ExpressionVector& exprs, std::shared_ptr* projector); /// Build a projector for the given schema to evaluate the vector of expressions. /// Customize the projector with runtime configuration. /// /// \param[in] schema schema for the record batches, and the expressions. /// \param[in] exprs vector of expressions. /// \param[in] configuration run time configuration. /// \param[out] projector the returned projector object static Status Make(SchemaPtr schema, const ExpressionVector& exprs, std::shared_ptr configuration, std::shared_ptr* projector); /// Build a projector for the given schema to evaluate the vector of expressions. /// Customize the projector with runtime configuration. /// /// \param[in] schema schema for the record batches, and the expressions. /// \param[in] exprs vector of expressions. /// \param[in] selection_vector_mode mode of selection vector /// \param[in] configuration run time configuration. /// \param[out] projector the returned projector object static Status Make(SchemaPtr schema, const ExpressionVector& exprs, SelectionVector::Mode selection_vector_mode, std::shared_ptr configuration, std::shared_ptr* projector); /// Evaluate the specified record batch, and return the allocated and populated output /// arrays. The output arrays will be allocated from the memory pool 'pool', and added /// to the vector 'output'. /// /// \param[in] batch the record batch. schema should be the same as the one in 'Make' /// \param[in] pool memory pool used to allocate output arrays (if required). /// \param[out] output the vector of allocated/populated arrays. Status Evaluate(const arrow::RecordBatch& batch, arrow::MemoryPool* pool, arrow::ArrayVector* output) const; /// Evaluate the specified record batch, and populate the output arrays. The output /// arrays of sufficient capacity must be allocated by the caller. /// /// \param[in] batch the record batch. schema should be the same as the one in 'Make' /// \param[in,out] output vector of arrays, the arrays are allocated by the caller and /// populated by Evaluate. Status Evaluate(const arrow::RecordBatch& batch, const ArrayDataVector& output) const; /// Evaluate the specified record batch, and return the allocated and populated output /// arrays. The output arrays will be allocated from the memory pool 'pool', and added /// to the vector 'output'. /// /// \param[in] batch the record batch. schema should be the same as the one in 'Make' /// \param[in] selection_vector selection vector which has filtered row positions. /// \param[in] pool memory pool used to allocate output arrays (if required). /// \param[out] output the vector of allocated/populated arrays. Status Evaluate(const arrow::RecordBatch& batch, const SelectionVector* selection_vector, arrow::MemoryPool* pool, arrow::ArrayVector* output) const; /// Evaluate the specified record batch, and populate the output arrays at the filtered /// positions. The output arrays of sufficient capacity must be allocated by the caller. /// /// \param[in] batch the record batch. schema should be the same as the one in 'Make' /// \param[in] selection_vector selection vector which has the filtered row positions /// \param[in,out] output vector of arrays, the arrays are allocated by the caller and /// populated by Evaluate. Status Evaluate(const arrow::RecordBatch& batch, const SelectionVector* selection_vector, const ArrayDataVector& output) const; const std::string& DumpIR(); void SetBuiltFromCache(bool flag); bool GetBuiltFromCache(); private: Projector(std::unique_ptr llvm_generator, SchemaPtr schema, const FieldVector& output_fields, std::shared_ptr); /// Allocate an ArrowData of length 'length'. Status AllocArrayData(const DataTypePtr& type, int64_t num_records, arrow::MemoryPool* pool, ArrayDataPtr* array_data) const; /// Validate that the ArrayData has sufficient capacity to accommodate 'num_records'. Status ValidateArrayDataCapacity(const arrow::ArrayData& array_data, const arrow::Field& field, int64_t num_records) const; /// Validate the common args for Evaluate() APIs. Status ValidateEvaluateArgsCommon(const arrow::RecordBatch& batch) const; std::unique_ptr llvm_generator_; SchemaPtr schema_; FieldVector output_fields_; std::shared_ptr configuration_; bool built_from_cache_; }; } // namespace gandiva