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224 lines
6.8 KiB
C++
224 lines
6.8 KiB
C++
#pragma once
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#include <DataTypes/DataTypesNumber.h>
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#include <Columns/ColumnVector.h>
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#include <Columns/ColumnConst.h>
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#include <Functions/IFunction.h>
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#include <Functions/FunctionHelpers.h>
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#include <IO/WriteHelpers.h>
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#include <Common/HashTable/Hash.h>
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#include <Common/randomSeed.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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}
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/** Pseudo-random number generation functions.
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* The function can be called without arguments or with one argument.
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* The argument is ignored and only serves to ensure that several calls to one function are considered different and do not stick together.
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*
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* Example:
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* SELECT rand(), rand() - will output two identical columns.
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* SELECT rand(1), rand(2) - will output two different columns.
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*
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* Non-cryptographic generators:
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*
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* rand - linear congruental generator 0 .. 2^32 - 1.
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* rand64 - combines several rand values to get values from the range 0 .. 2^64 - 1.
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*
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* randConstant - service function, produces a constant column with a random value.
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*
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* The time is used as the seed.
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* Note: it is reinitialized for each block.
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* This means that the timer must be of sufficient resolution to give different values to each block.
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*/
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namespace detail
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{
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/// NOTE Probably
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/// http://www.pcg-random.org/
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/// or http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/SFMT/
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/// or http://docs.yeppp.info/c/group__yep_random___w_e_l_l1024a.html
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/// could go better.
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struct LinearCongruentialGenerator
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{
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/// Constants from `man lrand48_r`.
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static constexpr UInt64 a = 0x5DEECE66D;
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static constexpr UInt64 c = 0xB;
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/// And this is from `head -c8 /dev/urandom | xxd -p`
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UInt64 current = 0x09826f4a081cee35ULL;
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LinearCongruentialGenerator() {}
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LinearCongruentialGenerator(UInt64 value) : current(value) {}
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void seed(UInt64 value)
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{
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current = value;
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}
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UInt32 next()
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{
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current = current * a + c;
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return current >> 16;
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}
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};
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void seed(LinearCongruentialGenerator & generator, intptr_t additional_seed);
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}
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struct RandImpl
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{
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using ReturnType = UInt32;
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static void execute(ReturnType * output, size_t size)
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{
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detail::LinearCongruentialGenerator generator0;
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detail::LinearCongruentialGenerator generator1;
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detail::LinearCongruentialGenerator generator2;
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detail::LinearCongruentialGenerator generator3;
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detail::seed(generator0, 0xfb4121280b2ab902ULL + reinterpret_cast<intptr_t>(output));
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detail::seed(generator1, 0x0121cf76df39c673ULL + reinterpret_cast<intptr_t>(output));
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detail::seed(generator2, 0x17ae86e3a19a602fULL + reinterpret_cast<intptr_t>(output));
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detail::seed(generator3, 0x8b6e16da7e06d622ULL + reinterpret_cast<intptr_t>(output));
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ReturnType * pos = output;
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ReturnType * end = pos + size;
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ReturnType * end4 = pos + size / 4 * 4;
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while (pos < end4)
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{
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pos[0] = generator0.next();
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pos[1] = generator1.next();
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pos[2] = generator2.next();
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pos[3] = generator3.next();
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pos += 4;
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}
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while (pos < end)
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{
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pos[0] = generator0.next();
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++pos;
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}
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}
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};
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struct Rand64Impl
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{
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using ReturnType = UInt64;
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static void execute(ReturnType * output, size_t size)
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{
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RandImpl::execute(reinterpret_cast<RandImpl::ReturnType *>(output), size * 2);
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}
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};
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template <typename Impl, typename Name>
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class FunctionRandom : public IFunction
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{
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private:
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using ToType = typename Impl::ReturnType;
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public:
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static constexpr auto name = Name::name;
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionRandom>(); }
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String getName() const override
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{
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return name;
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}
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bool isVariadic() const override { return true; }
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size_t getNumberOfArguments() const override { return 0; }
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bool isDeterministicInScopeOfQuery() override { return false; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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if (arguments.size() > 1)
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throw Exception("Number of arguments for function " + getName() + " doesn't match: passed "
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+ toString(arguments.size()) + ", should be 0 or 1.",
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ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
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return std::make_shared<DataTypeNumber<typename Impl::ReturnType>>();
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}
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void executeImpl(Block & block, const ColumnNumbers & /*arguments*/, size_t result) override
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{
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auto col_to = ColumnVector<ToType>::create();
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typename ColumnVector<ToType>::Container & vec_to = col_to->getData();
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size_t size = block.rows();
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vec_to.resize(size);
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Impl::execute(&vec_to[0], vec_to.size());
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block.getByPosition(result).column = std::move(col_to);
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}
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};
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template <typename Impl, typename Name>
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class FunctionRandomConstant : public IFunction
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{
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private:
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using ToType = typename Impl::ReturnType;
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/// The value is one for different blocks.
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bool is_initialized = false;
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ToType value;
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public:
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static constexpr auto name = Name::name;
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionRandomConstant>(); }
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String getName() const override
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{
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return name;
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}
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bool isVariadic() const override { return true; }
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size_t getNumberOfArguments() const override { return 0; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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if (arguments.size() > 1)
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throw Exception("Number of arguments for function " + getName() + " doesn't match: passed "
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+ toString(arguments.size()) + ", should be 0 or 1.",
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ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
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return std::make_shared<DataTypeNumber<typename Impl::ReturnType>>();
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}
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void executeImpl(Block & block, const ColumnNumbers & /*arguments*/, size_t result) override
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{
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if (!is_initialized)
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{
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is_initialized = true;
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typename ColumnVector<ToType>::Container vec_to(1);
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Impl::execute(&vec_to[0], vec_to.size());
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value = vec_to[0];
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}
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block.getByPosition(result).column = DataTypeNumber<ToType>().createColumnConst(block.rows(), toField(value));
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}
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};
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struct NameRand { static constexpr auto name = "rand"; };
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struct NameRand64 { static constexpr auto name = "rand64"; };
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struct NameRandConstant { static constexpr auto name = "randConstant"; };
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using FunctionRand = FunctionRandom<RandImpl, NameRand> ;
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using FunctionRand64 = FunctionRandom<Rand64Impl, NameRand64>;
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using FunctionRandConstant = FunctionRandomConstant<RandImpl, NameRandConstant>;
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}
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