1 /* 2 * Copyright (C) 2019 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef SRC_TRACE_PROCESSOR_CONTAINERS_NULLABLE_VECTOR_H_ 18 #define SRC_TRACE_PROCESSOR_CONTAINERS_NULLABLE_VECTOR_H_ 19 20 #include <stdint.h> 21 22 #include <deque> 23 24 #include "perfetto/base/logging.h" 25 #include "perfetto/ext/base/optional.h" 26 #include "src/trace_processor/containers/row_map.h" 27 28 namespace perfetto { 29 namespace trace_processor { 30 31 // Base class for NullableVector which allows type erasure to be implemented 32 // (e.g. allows for std::unique_ptr<NullableVectorBase>). 33 class NullableVectorBase { 34 public: 35 NullableVectorBase() = default; 36 virtual ~NullableVectorBase(); 37 38 NullableVectorBase(const NullableVectorBase&) = delete; 39 NullableVectorBase& operator=(const NullableVectorBase&) = delete; 40 41 NullableVectorBase(NullableVectorBase&&) = default; 42 NullableVectorBase& operator=(NullableVectorBase&&) noexcept = default; 43 }; 44 45 // A data structure which compactly stores a list of possibly nullable data. 46 // 47 // Internally, this class is implemented using a combination of a std::deque 48 // with a BitVector used to store whether each index is null or not. 49 // By default, for each null value, it only uses a single bit inside the 50 // BitVector at a slight cost (searching the BitVector to find the index into 51 // the std::deque) when looking up the data. 52 template <typename T> 53 class NullableVector : public NullableVectorBase { 54 private: 55 enum class Mode { 56 // Sparse mode is the default mode and ensures that nulls are stored using 57 // only 58 // a single bit (at the cost of making setting null entries to non-null 59 // O(n)). 60 kSparse, 61 62 // Dense mode forces the reservation of space for null entries which 63 // increases 64 // memory usage but allows for O(1) set operations. 65 kDense, 66 }; 67 68 public: 69 // Creates an empty NullableVector. NullableVector()70 NullableVector() : NullableVector<T>(Mode::kSparse) {} 71 ~NullableVector() override = default; 72 73 explicit NullableVector(const NullableVector&) = delete; 74 NullableVector& operator=(const NullableVector&) = delete; 75 76 NullableVector(NullableVector&&) = default; 77 NullableVector& operator=(NullableVector&&) noexcept = default; 78 79 // Creates a sparse nullable vector Sparse()80 static NullableVector<T> Sparse() { return NullableVector<T>(Mode::kSparse); } 81 82 // Creates a dense nullable vector Dense()83 static NullableVector<T> Dense() { return NullableVector<T>(Mode::kDense); } 84 85 // Returns the optional value at |idx| or base::nullopt if the value is null. Get(uint32_t idx)86 base::Optional<T> Get(uint32_t idx) const { 87 if (mode_ == Mode::kDense) { 88 bool contains = valid_.Contains(idx); 89 return contains ? base::Optional<T>(data_[idx]) : base::nullopt; 90 } else { 91 auto opt_idx = valid_.IndexOf(idx); 92 return opt_idx ? base::Optional<T>(data_[*opt_idx]) : base::nullopt; 93 } 94 } 95 96 // Returns the non-null value at |ordinal| where |ordinal| gives the index 97 // of the entry in-terms of non-null entries only. 98 // 99 // For example: 100 // this = [0, null, 2, null, 4] 101 // 102 // GetNonNull(0) = 0 103 // GetNonNull(1) = 2 104 // GetNonNull(2) = 4 105 // ... GetNonNull(uint32_t ordinal)106 T GetNonNull(uint32_t ordinal) const { 107 if (mode_ == Mode::kDense) { 108 return data_[valid_.Get(ordinal)]; 109 } else { 110 PERFETTO_DCHECK(ordinal < data_.size()); 111 return data_[ordinal]; 112 } 113 } 114 115 // Adds the given value to the NullableVector. Append(T val)116 void Append(T val) { 117 data_.emplace_back(val); 118 valid_.Insert(size_++); 119 } 120 121 // Adds a null value to the NullableVector. AppendNull()122 void AppendNull() { 123 if (mode_ == Mode::kDense) { 124 data_.emplace_back(); 125 } 126 size_++; 127 } 128 129 // Adds the given optional value to the NullableVector. Append(base::Optional<T> val)130 void Append(base::Optional<T> val) { 131 if (val) { 132 Append(*val); 133 } else { 134 AppendNull(); 135 } 136 } 137 138 // Sets the value at |idx| to the given |val|. Set(uint32_t idx,T val)139 void Set(uint32_t idx, T val) { 140 if (mode_ == Mode::kDense) { 141 if (!valid_.Contains(idx)) { 142 valid_.Insert(idx); 143 } 144 data_[idx] = val; 145 } else { 146 auto opt_idx = valid_.IndexOf(idx); 147 148 // Generally, we will be setting a null row to non-null so optimize for 149 // that path. 150 if (PERFETTO_UNLIKELY(opt_idx)) { 151 data_[*opt_idx] = val; 152 } else { 153 valid_.Insert(idx); 154 155 opt_idx = valid_.IndexOf(idx); 156 PERFETTO_DCHECK(opt_idx); 157 data_.insert(data_.begin() + static_cast<ptrdiff_t>(*opt_idx), val); 158 } 159 } 160 } 161 162 // Returns the size of the NullableVector; this includes any null values. size()163 uint32_t size() const { return size_; } 164 165 // Returns whether data in this NullableVector is stored densely. IsDense()166 bool IsDense() const { return mode_ == Mode::kDense; } 167 168 private: NullableVector(Mode mode)169 NullableVector(Mode mode) : mode_(mode) {} 170 171 Mode mode_ = Mode::kSparse; 172 173 std::deque<T> data_; 174 RowMap valid_; 175 uint32_t size_ = 0; 176 }; 177 178 } // namespace trace_processor 179 } // namespace perfetto 180 181 #endif // SRC_TRACE_PROCESSOR_CONTAINERS_NULLABLE_VECTOR_H_ 182