| 1 | #pragma once |
| 2 | |
| 3 | #include <Common/FieldVisitors.h> |
| 4 | #include <Common/typeid_cast.h> |
| 5 | #include <Common/assert_cast.h> |
| 6 | |
| 7 | #include <AggregateFunctions/IAggregateFunction.h> |
| 8 | #include <AggregateFunctions/UniqVariadicHash.h> |
| 9 | |
| 10 | #include <DataTypes/DataTypesNumber.h> |
| 11 | #include <DataTypes/DataTypeTuple.h> |
| 12 | #include <DataTypes/DataTypeUUID.h> |
| 13 | |
| 14 | #include <Columns/ColumnsNumber.h> |
| 15 | |
| 16 | #include <IO/ReadHelpers.h> |
| 17 | #include <IO/WriteHelpers.h> |
| 18 | |
| 19 | |
| 20 | namespace DB |
| 21 | { |
| 22 | |
| 23 | |
| 24 | /** Counts the number of unique values up to no more than specified in the parameter. |
| 25 | * |
| 26 | * Example: uniqUpTo(3)(UserID) |
| 27 | * - will count the number of unique visitors, return 1, 2, 3 or 4 if visitors > = 4. |
| 28 | * |
| 29 | * For strings, a non-cryptographic hash function is used, due to which the calculation may be a bit inaccurate. |
| 30 | */ |
| 31 | |
| 32 | template <typename T> |
| 33 | struct __attribute__((__packed__)) AggregateFunctionUniqUpToData |
| 34 | { |
| 35 | /** If count == threshold + 1 - this means that it is "overflowed" (values greater than threshold). |
| 36 | * In this case (for example, after calling the merge function), the `data` array does not necessarily contain the initialized values |
| 37 | * - example: combine a state in which there are few values, with another state that has overflowed; |
| 38 | * then set count to `threshold + 1`, and values from another state are not copied. |
| 39 | */ |
| 40 | UInt8 count = 0; |
| 41 | |
| 42 | T data[0]; |
| 43 | |
| 44 | |
| 45 | size_t size() const |
| 46 | { |
| 47 | return count; |
| 48 | } |
| 49 | |
| 50 | /// threshold - for how many elements there is room in a `data`. |
| 51 | /// ALWAYS_INLINE is required to have better code layout for uniqUpTo function |
| 52 | void ALWAYS_INLINE insert(T x, UInt8 threshold) |
| 53 | { |
| 54 | /// The state is already full - nothing needs to be done. |
| 55 | if (count > threshold) |
| 56 | return; |
| 57 | |
| 58 | /// Linear search for the matching element. |
| 59 | for (size_t i = 0; i < count; ++i) |
| 60 | if (data[i] == x) |
| 61 | return; |
| 62 | |
| 63 | /// Did not find the matching element. If there is room for one more element, insert it. |
| 64 | if (count < threshold) |
| 65 | data[count] = x; |
| 66 | |
| 67 | /// After increasing count, the state may be overflowed. |
| 68 | ++count; |
| 69 | } |
| 70 | |
| 71 | void merge(const AggregateFunctionUniqUpToData<T> & rhs, UInt8 threshold) |
| 72 | { |
| 73 | if (count > threshold) |
| 74 | return; |
| 75 | |
| 76 | if (rhs.count > threshold) |
| 77 | { |
| 78 | /// If `rhs` is overflowed, then set `count` too also overflowed for the current state. |
| 79 | count = rhs.count; |
| 80 | return; |
| 81 | } |
| 82 | |
| 83 | for (size_t i = 0; i < rhs.count; ++i) |
| 84 | insert(rhs.data[i], threshold); |
| 85 | } |
| 86 | |
| 87 | void write(WriteBuffer & wb, UInt8 threshold) const |
| 88 | { |
| 89 | writeBinary(count, wb); |
| 90 | |
| 91 | /// Write values only if the state is not overflowed. Otherwise, they are not needed, and only the fact that the state is overflowed is important. |
| 92 | if (count <= threshold) |
| 93 | wb.write(reinterpret_cast<const char *>(data), count * sizeof(data[0])); |
| 94 | } |
| 95 | |
| 96 | void read(ReadBuffer & rb, UInt8 threshold) |
| 97 | { |
| 98 | readBinary(count, rb); |
| 99 | |
| 100 | if (count <= threshold) |
| 101 | rb.read(reinterpret_cast<char *>(data), count * sizeof(data[0])); |
| 102 | } |
| 103 | |
| 104 | /// ALWAYS_INLINE is required to have better code layout for uniqUpTo function |
| 105 | void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold) |
| 106 | { |
| 107 | insert(assert_cast<const ColumnVector<T> &>(column).getData()[row_num], threshold); |
| 108 | } |
| 109 | }; |
| 110 | |
| 111 | |
| 112 | /// For strings, their hashes are remembered. |
| 113 | template <> |
| 114 | struct AggregateFunctionUniqUpToData<String> : AggregateFunctionUniqUpToData<UInt64> |
| 115 | { |
| 116 | /// ALWAYS_INLINE is required to have better code layout for uniqUpTo function |
| 117 | void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold) |
| 118 | { |
| 119 | /// Keep in mind that calculations are approximate. |
| 120 | StringRef value = column.getDataAt(row_num); |
| 121 | insert(CityHash_v1_0_2::CityHash64(value.data, value.size), threshold); |
| 122 | } |
| 123 | }; |
| 124 | |
| 125 | template <> |
| 126 | struct AggregateFunctionUniqUpToData<UInt128> : AggregateFunctionUniqUpToData<UInt64> |
| 127 | { |
| 128 | /// ALWAYS_INLINE is required to have better code layout for uniqUpTo function |
| 129 | void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold) |
| 130 | { |
| 131 | UInt128 value = assert_cast<const ColumnVector<UInt128> &>(column).getData()[row_num]; |
| 132 | insert(sipHash64(value), threshold); |
| 133 | } |
| 134 | }; |
| 135 | |
| 136 | |
| 137 | template <typename T> |
| 138 | class AggregateFunctionUniqUpTo final : public IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<T>, AggregateFunctionUniqUpTo<T>> |
| 139 | { |
| 140 | private: |
| 141 | UInt8 threshold; |
| 142 | |
| 143 | public: |
| 144 | AggregateFunctionUniqUpTo(UInt8 threshold_, const DataTypes & argument_types_, const Array & params_) |
| 145 | : IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<T>, AggregateFunctionUniqUpTo<T>>(argument_types_, params_) |
| 146 | , threshold(threshold_) |
| 147 | { |
| 148 | } |
| 149 | |
| 150 | size_t sizeOfData() const override |
| 151 | { |
| 152 | return sizeof(AggregateFunctionUniqUpToData<T>) + sizeof(T) * threshold; |
| 153 | } |
| 154 | |
| 155 | String getName() const override { return "uniqUpTo" ; } |
| 156 | |
| 157 | DataTypePtr getReturnType() const override |
| 158 | { |
| 159 | return std::make_shared<DataTypeUInt64>(); |
| 160 | } |
| 161 | |
| 162 | /// ALWAYS_INLINE is required to have better code layout for uniqUpTo function |
| 163 | void ALWAYS_INLINE add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena *) const override |
| 164 | { |
| 165 | this->data(place).add(*columns[0], row_num, threshold); |
| 166 | } |
| 167 | |
| 168 | void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena *) const override |
| 169 | { |
| 170 | this->data(place).merge(this->data(rhs), threshold); |
| 171 | } |
| 172 | |
| 173 | void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override |
| 174 | { |
| 175 | this->data(place).write(buf, threshold); |
| 176 | } |
| 177 | |
| 178 | void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena *) const override |
| 179 | { |
| 180 | this->data(place).read(buf, threshold); |
| 181 | } |
| 182 | |
| 183 | void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override |
| 184 | { |
| 185 | assert_cast<ColumnUInt64 &>(to).getData().push_back(this->data(place).size()); |
| 186 | } |
| 187 | }; |
| 188 | |
| 189 | |
| 190 | /** For multiple arguments. To compute, hashes them. |
| 191 | * You can pass multiple arguments as is; You can also pass one argument - a tuple. |
| 192 | * But (for the possibility of effective implementation), you can not pass several arguments, among which there are tuples. |
| 193 | */ |
| 194 | template <bool is_exact, bool argument_is_tuple> |
| 195 | class AggregateFunctionUniqUpToVariadic final |
| 196 | : public IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<UInt64>, AggregateFunctionUniqUpToVariadic<is_exact, argument_is_tuple>> |
| 197 | { |
| 198 | private: |
| 199 | size_t num_args = 0; |
| 200 | UInt8 threshold; |
| 201 | |
| 202 | public: |
| 203 | AggregateFunctionUniqUpToVariadic(const DataTypes & arguments, const Array & params, UInt8 threshold_) |
| 204 | : IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<UInt64>, AggregateFunctionUniqUpToVariadic<is_exact, argument_is_tuple>>(arguments, params) |
| 205 | , threshold(threshold_) |
| 206 | { |
| 207 | if (argument_is_tuple) |
| 208 | num_args = typeid_cast<const DataTypeTuple &>(*arguments[0]).getElements().size(); |
| 209 | else |
| 210 | num_args = arguments.size(); |
| 211 | } |
| 212 | |
| 213 | size_t sizeOfData() const override |
| 214 | { |
| 215 | return sizeof(AggregateFunctionUniqUpToData<UInt64>) + sizeof(UInt64) * threshold; |
| 216 | } |
| 217 | |
| 218 | String getName() const override { return "uniqUpTo" ; } |
| 219 | |
| 220 | DataTypePtr getReturnType() const override |
| 221 | { |
| 222 | return std::make_shared<DataTypeUInt64>(); |
| 223 | } |
| 224 | |
| 225 | void add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena *) const override |
| 226 | { |
| 227 | this->data(place).insert(UInt64(UniqVariadicHash<is_exact, argument_is_tuple>::apply(num_args, columns, row_num)), threshold); |
| 228 | } |
| 229 | |
| 230 | void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena *) const override |
| 231 | { |
| 232 | this->data(place).merge(this->data(rhs), threshold); |
| 233 | } |
| 234 | |
| 235 | void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override |
| 236 | { |
| 237 | this->data(place).write(buf, threshold); |
| 238 | } |
| 239 | |
| 240 | void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena *) const override |
| 241 | { |
| 242 | this->data(place).read(buf, threshold); |
| 243 | } |
| 244 | |
| 245 | void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override |
| 246 | { |
| 247 | assert_cast<ColumnUInt64 &>(to).getData().push_back(this->data(place).size()); |
| 248 | } |
| 249 | }; |
| 250 | |
| 251 | |
| 252 | } |
| 253 | |