| 1 | #pragma once |
| 2 | |
| 3 | #include <Common/HashTable/HashMap.h> |
| 4 | #include <Common/NaNUtils.h> |
| 5 | |
| 6 | |
| 7 | namespace DB |
| 8 | { |
| 9 | |
| 10 | namespace ErrorCodes |
| 11 | { |
| 12 | extern const int NOT_IMPLEMENTED; |
| 13 | } |
| 14 | |
| 15 | /** Calculates quantile by counting number of occurrences for each value in a hash map. |
| 16 | * |
| 17 | * It uses O(distinct(N)) memory. Can be naturally applied for values with weight. |
| 18 | * In case of many identical values, it can be more efficient than QuantileExact even when weight is not used. |
| 19 | */ |
| 20 | template <typename Value> |
| 21 | struct QuantileExactWeighted |
| 22 | { |
| 23 | struct Int128Hash |
| 24 | { |
| 25 | size_t operator()(Int128 x) const |
| 26 | { |
| 27 | return CityHash_v1_0_2::Hash128to64({x >> 64, x & 0xffffffffffffffffll}); |
| 28 | } |
| 29 | }; |
| 30 | |
| 31 | using Weight = UInt64; |
| 32 | using UnderlyingType = typename NativeType<Value>::Type; |
| 33 | using Hasher = std::conditional_t<std::is_same_v<Value, Decimal128>, Int128Hash, HashCRC32<UnderlyingType>>; |
| 34 | |
| 35 | /// When creating, the hash table must be small. |
| 36 | using Map = HashMap< |
| 37 | UnderlyingType, Weight, |
| 38 | Hasher, |
| 39 | HashTableGrower<4>, |
| 40 | HashTableAllocatorWithStackMemory<sizeof(std::pair<Value, Weight>) * (1 << 3)> |
| 41 | >; |
| 42 | |
| 43 | Map map; |
| 44 | |
| 45 | void add(const Value & x) |
| 46 | { |
| 47 | /// We must skip NaNs as they are not compatible with comparison sorting. |
| 48 | if (!isNaN(x)) |
| 49 | ++map[x]; |
| 50 | } |
| 51 | |
| 52 | void add(const Value & x, Weight weight) |
| 53 | { |
| 54 | if (!isNaN(x)) |
| 55 | map[x] += weight; |
| 56 | } |
| 57 | |
| 58 | void merge(const QuantileExactWeighted & rhs) |
| 59 | { |
| 60 | for (const auto & pair : rhs.map) |
| 61 | map[pair.getKey()] += pair.getMapped(); |
| 62 | } |
| 63 | |
| 64 | void serialize(WriteBuffer & buf) const |
| 65 | { |
| 66 | map.write(buf); |
| 67 | } |
| 68 | |
| 69 | void deserialize(ReadBuffer & buf) |
| 70 | { |
| 71 | typename Map::Reader reader(buf); |
| 72 | while (reader.next()) |
| 73 | { |
| 74 | const auto & pair = reader.get(); |
| 75 | map[pair.first] = pair.second; |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | /// Get the value of the `level` quantile. The level must be between 0 and 1. |
| 80 | Value get(Float64 level) const |
| 81 | { |
| 82 | size_t size = map.size(); |
| 83 | |
| 84 | if (0 == size) |
| 85 | return std::numeric_limits<Value>::quiet_NaN(); |
| 86 | |
| 87 | /// Copy the data to a temporary array to get the element you need in order. |
| 88 | using Pair = typename Map::value_type; |
| 89 | std::unique_ptr<Pair[]> array_holder(new Pair[size]); |
| 90 | Pair * array = array_holder.get(); |
| 91 | |
| 92 | size_t i = 0; |
| 93 | UInt64 sum_weight = 0; |
| 94 | for (const auto & pair : map) |
| 95 | { |
| 96 | sum_weight += pair.getMapped(); |
| 97 | array[i] = pair.getValue(); |
| 98 | ++i; |
| 99 | } |
| 100 | |
| 101 | std::sort(array, array + size, [](const Pair & a, const Pair & b) { return a.first < b.first; }); |
| 102 | |
| 103 | UInt64 threshold = std::ceil(sum_weight * level); |
| 104 | UInt64 accumulated = 0; |
| 105 | |
| 106 | const Pair * it = array; |
| 107 | const Pair * end = array + size; |
| 108 | while (it < end) |
| 109 | { |
| 110 | accumulated += it->second; |
| 111 | |
| 112 | if (accumulated >= threshold) |
| 113 | break; |
| 114 | |
| 115 | ++it; |
| 116 | } |
| 117 | |
| 118 | if (it == end) |
| 119 | --it; |
| 120 | |
| 121 | return it->first; |
| 122 | } |
| 123 | |
| 124 | /// Get the `size` values of `levels` quantiles. Write `size` results starting with `result` address. |
| 125 | /// indices - an array of index levels such that the corresponding elements will go in ascending order. |
| 126 | void getMany(const Float64 * levels, const size_t * indices, size_t num_levels, Value * result) const |
| 127 | { |
| 128 | size_t size = map.size(); |
| 129 | |
| 130 | if (0 == size) |
| 131 | { |
| 132 | for (size_t i = 0; i < num_levels; ++i) |
| 133 | result[i] = Value(); |
| 134 | return; |
| 135 | } |
| 136 | |
| 137 | /// Copy the data to a temporary array to get the element you need in order. |
| 138 | using Pair = typename Map::value_type; |
| 139 | std::unique_ptr<Pair[]> array_holder(new Pair[size]); |
| 140 | Pair * array = array_holder.get(); |
| 141 | |
| 142 | size_t i = 0; |
| 143 | UInt64 sum_weight = 0; |
| 144 | for (const auto & pair : map) |
| 145 | { |
| 146 | sum_weight += pair.getMapped(); |
| 147 | array[i] = pair.getValue(); |
| 148 | ++i; |
| 149 | } |
| 150 | |
| 151 | std::sort(array, array + size, [](const Pair & a, const Pair & b) { return a.first < b.first; }); |
| 152 | |
| 153 | UInt64 accumulated = 0; |
| 154 | |
| 155 | const Pair * it = array; |
| 156 | const Pair * end = array + size; |
| 157 | |
| 158 | size_t level_index = 0; |
| 159 | UInt64 threshold = std::ceil(sum_weight * levels[indices[level_index]]); |
| 160 | |
| 161 | while (it < end) |
| 162 | { |
| 163 | accumulated += it->second; |
| 164 | |
| 165 | while (accumulated >= threshold) |
| 166 | { |
| 167 | result[indices[level_index]] = it->first; |
| 168 | ++level_index; |
| 169 | |
| 170 | if (level_index == num_levels) |
| 171 | return; |
| 172 | |
| 173 | threshold = std::ceil(sum_weight * levels[indices[level_index]]); |
| 174 | } |
| 175 | |
| 176 | ++it; |
| 177 | } |
| 178 | |
| 179 | while (level_index < num_levels) |
| 180 | { |
| 181 | result[indices[level_index]] = array[size - 1].first; |
| 182 | ++level_index; |
| 183 | } |
| 184 | } |
| 185 | |
| 186 | /// The same, but in the case of an empty state, NaN is returned. |
| 187 | Float64 getFloat(Float64) const |
| 188 | { |
| 189 | throw Exception("Method getFloat is not implemented for QuantileExact" , ErrorCodes::NOT_IMPLEMENTED); |
| 190 | } |
| 191 | |
| 192 | void getManyFloat(const Float64 *, const size_t *, size_t, Float64 *) const |
| 193 | { |
| 194 | throw Exception("Method getManyFloat is not implemented for QuantileExact" , ErrorCodes::NOT_IMPLEMENTED); |
| 195 | } |
| 196 | }; |
| 197 | |
| 198 | } |
| 199 | |