2019-05-10 03:42:28 +00:00
|
|
|
#pragma once
|
|
|
|
|
2021-06-15 19:55:21 +00:00
|
|
|
#include <Common/HashTable/Hash.h>
|
2019-05-10 03:42:28 +00:00
|
|
|
#include <Columns/IColumn.h>
|
2019-09-17 11:18:04 +00:00
|
|
|
#include <Columns/ColumnArray.h>
|
2019-05-10 03:42:28 +00:00
|
|
|
#include <Columns/ColumnConst.h>
|
2019-09-17 11:18:04 +00:00
|
|
|
#include <Columns/ColumnNullable.h>
|
2019-05-10 03:42:28 +00:00
|
|
|
#include <Columns/ColumnsNumber.h>
|
|
|
|
#include <Columns/ColumnString.h>
|
|
|
|
#include <Columns/ColumnFixedString.h>
|
|
|
|
#include <DataTypes/IDataType.h>
|
2019-09-17 11:18:04 +00:00
|
|
|
#include <DataTypes/DataTypeArray.h>
|
|
|
|
#include <DataTypes/DataTypeNullable.h>
|
2019-10-15 04:22:51 +00:00
|
|
|
#include <DataTypes/DataTypeFixedString.h>
|
|
|
|
#include <DataTypes/DataTypeLowCardinality.h>
|
2019-05-10 03:42:28 +00:00
|
|
|
#include <DataTypes/DataTypesNumber.h>
|
2019-10-15 04:22:51 +00:00
|
|
|
#include <Interpreters/BloomFilter.h>
|
2019-05-10 03:42:28 +00:00
|
|
|
|
|
|
|
namespace DB
|
|
|
|
{
|
|
|
|
|
|
|
|
namespace ErrorCodes
|
|
|
|
{
|
|
|
|
extern const int ILLEGAL_COLUMN;
|
2020-01-10 11:16:14 +00:00
|
|
|
extern const int BAD_ARGUMENTS;
|
2019-05-10 03:42:28 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
struct BloomFilterHash
|
|
|
|
{
|
|
|
|
static constexpr UInt64 bf_hash_seed[15] = {
|
|
|
|
13635471485423070496ULL, 10336109063487487899ULL, 17779957404565211594ULL, 8988612159822229247ULL, 4954614162757618085ULL,
|
|
|
|
12980113590177089081ULL, 9263883436177860930ULL, 3656772712723269762ULL, 10362091744962961274ULL, 7582936617938287249ULL,
|
|
|
|
15033938188484401405ULL, 18286745649494826751ULL, 6852245486148412312ULL, 8886056245089344681ULL, 10151472371158292780ULL
|
|
|
|
};
|
|
|
|
|
2020-01-08 04:55:56 +00:00
|
|
|
template <typename FieldGetType, typename FieldType>
|
|
|
|
static UInt64 getNumberTypeHash(const Field & field)
|
2019-05-10 03:42:28 +00:00
|
|
|
{
|
2020-01-08 04:55:56 +00:00
|
|
|
/// For negative, we should convert the type to make sure the symbol is in right place
|
2020-11-04 20:41:10 +00:00
|
|
|
return field.isNull() ? intHash64(0) : DefaultHash64<FieldType>(FieldType(field.safeGet<FieldGetType>()));
|
2020-01-08 04:55:56 +00:00
|
|
|
}
|
2019-05-10 03:42:28 +00:00
|
|
|
|
2020-01-08 04:55:56 +00:00
|
|
|
static UInt64 getStringTypeHash(const Field & field)
|
|
|
|
{
|
|
|
|
if (!field.isNull())
|
2019-11-01 08:32:41 +00:00
|
|
|
{
|
2020-01-08 04:55:56 +00:00
|
|
|
const auto & value = field.safeGet<String>();
|
|
|
|
return CityHash_v1_0_2::CityHash64(value.data(), value.size());
|
2019-11-01 08:32:41 +00:00
|
|
|
}
|
2020-01-08 04:55:56 +00:00
|
|
|
|
|
|
|
return CityHash_v1_0_2::CityHash64("", 0);
|
|
|
|
}
|
|
|
|
|
|
|
|
static UInt64 getFixedStringTypeHash(const Field & field, const IDataType * type)
|
|
|
|
{
|
|
|
|
if (!field.isNull())
|
2019-05-10 03:42:28 +00:00
|
|
|
{
|
2019-11-01 08:32:41 +00:00
|
|
|
const auto & value = field.safeGet<String>();
|
2020-01-08 04:55:56 +00:00
|
|
|
return CityHash_v1_0_2::CityHash64(value.data(), value.size());
|
2019-05-10 03:42:28 +00:00
|
|
|
}
|
2019-11-01 08:32:41 +00:00
|
|
|
|
2020-01-08 04:55:56 +00:00
|
|
|
const auto * fixed_string_type = typeid_cast<const DataTypeFixedString *>(type);
|
|
|
|
const std::vector<char> value(fixed_string_type->getN(), 0);
|
|
|
|
return CityHash_v1_0_2::CityHash64(value.data(), value.size());
|
|
|
|
}
|
|
|
|
|
|
|
|
static ColumnPtr hashWithField(const IDataType * data_type, const Field & field)
|
|
|
|
{
|
|
|
|
const auto & build_hash_column = [&](const UInt64 & hash) -> ColumnPtr
|
|
|
|
{
|
|
|
|
return ColumnConst::create(ColumnUInt64::create(1, hash), 1);
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
WhichDataType which(data_type);
|
2019-11-01 08:32:41 +00:00
|
|
|
|
2020-01-08 04:55:56 +00:00
|
|
|
if (which.isUInt8()) return build_hash_column(getNumberTypeHash<UInt64, UInt8>(field));
|
|
|
|
else if (which.isUInt16()) return build_hash_column(getNumberTypeHash<UInt64, UInt16>(field));
|
|
|
|
else if (which.isUInt32()) return build_hash_column(getNumberTypeHash<UInt64, UInt32>(field));
|
|
|
|
else if (which.isUInt64()) return build_hash_column(getNumberTypeHash<UInt64, UInt64>(field));
|
2020-11-04 20:41:10 +00:00
|
|
|
else if (which.isUInt128()) return build_hash_column(getNumberTypeHash<UInt128, UInt256>(field));
|
|
|
|
else if (which.isUInt256()) return build_hash_column(getNumberTypeHash<UInt256, UInt256>(field));
|
2020-01-08 04:55:56 +00:00
|
|
|
else if (which.isInt8()) return build_hash_column(getNumberTypeHash<Int64, Int8>(field));
|
|
|
|
else if (which.isInt16()) return build_hash_column(getNumberTypeHash<Int64, Int16>(field));
|
|
|
|
else if (which.isInt32()) return build_hash_column(getNumberTypeHash<Int64, Int32>(field));
|
|
|
|
else if (which.isInt64()) return build_hash_column(getNumberTypeHash<Int64, Int64>(field));
|
2020-11-04 20:41:10 +00:00
|
|
|
else if (which.isInt128()) return build_hash_column(getNumberTypeHash<Int128, Int128>(field));
|
|
|
|
else if (which.isInt256()) return build_hash_column(getNumberTypeHash<Int256, Int256>(field));
|
2020-01-08 04:55:56 +00:00
|
|
|
else if (which.isEnum8()) return build_hash_column(getNumberTypeHash<Int64, Int8>(field));
|
|
|
|
else if (which.isEnum16()) return build_hash_column(getNumberTypeHash<Int64, Int16>(field));
|
|
|
|
else if (which.isDate()) return build_hash_column(getNumberTypeHash<UInt64, UInt16>(field));
|
2021-07-15 11:41:52 +00:00
|
|
|
else if (which.isDate32()) return build_hash_column(getNumberTypeHash<UInt64, Int32>(field));
|
2020-01-08 04:55:56 +00:00
|
|
|
else if (which.isDateTime()) return build_hash_column(getNumberTypeHash<UInt64, UInt32>(field));
|
|
|
|
else if (which.isFloat32()) return build_hash_column(getNumberTypeHash<Float64, Float64>(field));
|
|
|
|
else if (which.isFloat64()) return build_hash_column(getNumberTypeHash<Float64, Float64>(field));
|
2021-05-07 00:23:32 +00:00
|
|
|
else if (which.isUUID()) return build_hash_column(getNumberTypeHash<UUID, UUID>(field));
|
2023-02-06 16:30:18 +00:00
|
|
|
else if (which.isIPv4()) return build_hash_column(getNumberTypeHash<IPv4, IPv4>(field));
|
|
|
|
else if (which.isIPv6()) return build_hash_column(getNumberTypeHash<IPv6, IPv6>(field));
|
2020-01-08 04:55:56 +00:00
|
|
|
else if (which.isString()) return build_hash_column(getStringTypeHash(field));
|
|
|
|
else if (which.isFixedString()) return build_hash_column(getFixedStringTypeHash(field, data_type));
|
2023-01-23 21:13:58 +00:00
|
|
|
else throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected type {} of bloom filter index.", data_type->getName());
|
2019-05-10 03:42:28 +00:00
|
|
|
}
|
|
|
|
|
2019-06-19 08:51:35 +00:00
|
|
|
static ColumnPtr hashWithColumn(const DataTypePtr & data_type, const ColumnPtr & column, size_t pos, size_t limit)
|
2019-05-10 03:42:28 +00:00
|
|
|
{
|
2019-09-17 11:18:04 +00:00
|
|
|
WhichDataType which(data_type);
|
|
|
|
if (which.isArray())
|
|
|
|
{
|
2019-11-01 09:41:20 +00:00
|
|
|
const auto * array_col = typeid_cast<const ColumnArray *>(column.get());
|
2019-09-17 11:18:04 +00:00
|
|
|
|
|
|
|
if (checkAndGetColumn<ColumnNullable>(array_col->getData()))
|
2023-01-23 21:13:58 +00:00
|
|
|
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected type {} of bloom filter index.", data_type->getName());
|
2019-09-17 11:18:04 +00:00
|
|
|
|
|
|
|
const auto & offsets = array_col->getOffsets();
|
2019-12-17 05:46:46 +00:00
|
|
|
limit = offsets[pos + limit - 1] - offsets[pos - 1]; /// PaddedPODArray allows access on index -1.
|
2019-12-20 11:31:14 +00:00
|
|
|
pos = offsets[pos - 1];
|
2019-12-13 09:38:03 +00:00
|
|
|
|
|
|
|
if (limit == 0)
|
|
|
|
{
|
|
|
|
auto index_column = ColumnUInt64::create(1);
|
|
|
|
ColumnUInt64::Container & index_column_vec = index_column->getData();
|
|
|
|
index_column_vec[0] = 0;
|
|
|
|
return index_column;
|
|
|
|
}
|
2019-09-17 11:18:04 +00:00
|
|
|
}
|
|
|
|
|
2019-11-01 15:31:02 +00:00
|
|
|
const ColumnPtr actual_col = BloomFilter::getPrimitiveColumn(column);
|
|
|
|
const DataTypePtr actual_type = BloomFilter::getPrimitiveType(data_type);
|
2019-10-15 04:22:51 +00:00
|
|
|
|
2019-05-10 03:42:28 +00:00
|
|
|
auto index_column = ColumnUInt64::create(limit);
|
|
|
|
ColumnUInt64::Container & index_column_vec = index_column->getData();
|
2019-10-15 04:22:51 +00:00
|
|
|
getAnyTypeHash<true>(actual_type.get(), actual_col.get(), index_column_vec, pos);
|
2019-05-10 03:42:28 +00:00
|
|
|
return index_column;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <bool is_first>
|
2019-06-19 08:51:35 +00:00
|
|
|
static void getAnyTypeHash(const IDataType * data_type, const IColumn * column, ColumnUInt64::Container & vec, size_t pos)
|
2019-05-10 03:42:28 +00:00
|
|
|
{
|
|
|
|
WhichDataType which(data_type);
|
|
|
|
|
2019-09-23 03:40:48 +00:00
|
|
|
if (which.isUInt8()) getNumberTypeHash<UInt8, is_first>(column, vec, pos);
|
2019-05-10 03:42:28 +00:00
|
|
|
else if (which.isUInt16()) getNumberTypeHash<UInt16, is_first>(column, vec, pos);
|
|
|
|
else if (which.isUInt32()) getNumberTypeHash<UInt32, is_first>(column, vec, pos);
|
|
|
|
else if (which.isUInt64()) getNumberTypeHash<UInt64, is_first>(column, vec, pos);
|
2020-11-04 20:41:10 +00:00
|
|
|
else if (which.isUInt128()) getNumberTypeHash<UInt128, is_first>(column, vec, pos);
|
|
|
|
else if (which.isUInt256()) getNumberTypeHash<UInt256, is_first>(column, vec, pos);
|
2019-05-10 03:42:28 +00:00
|
|
|
else if (which.isInt8()) getNumberTypeHash<Int8, is_first>(column, vec, pos);
|
|
|
|
else if (which.isInt16()) getNumberTypeHash<Int16, is_first>(column, vec, pos);
|
|
|
|
else if (which.isInt32()) getNumberTypeHash<Int32, is_first>(column, vec, pos);
|
|
|
|
else if (which.isInt64()) getNumberTypeHash<Int64, is_first>(column, vec, pos);
|
2020-11-04 20:41:10 +00:00
|
|
|
else if (which.isInt128()) getNumberTypeHash<Int128, is_first>(column, vec, pos);
|
|
|
|
else if (which.isInt256()) getNumberTypeHash<Int256, is_first>(column, vec, pos);
|
2019-05-10 03:42:28 +00:00
|
|
|
else if (which.isEnum8()) getNumberTypeHash<Int8, is_first>(column, vec, pos);
|
|
|
|
else if (which.isEnum16()) getNumberTypeHash<Int16, is_first>(column, vec, pos);
|
|
|
|
else if (which.isDate()) getNumberTypeHash<UInt16, is_first>(column, vec, pos);
|
2021-07-15 11:41:52 +00:00
|
|
|
else if (which.isDate32()) getNumberTypeHash<Int32, is_first>(column, vec, pos);
|
2019-05-10 03:42:28 +00:00
|
|
|
else if (which.isDateTime()) getNumberTypeHash<UInt32, is_first>(column, vec, pos);
|
|
|
|
else if (which.isFloat32()) getNumberTypeHash<Float32, is_first>(column, vec, pos);
|
|
|
|
else if (which.isFloat64()) getNumberTypeHash<Float64, is_first>(column, vec, pos);
|
2021-05-07 00:23:32 +00:00
|
|
|
else if (which.isUUID()) getNumberTypeHash<UUID, is_first>(column, vec, pos);
|
2023-02-06 16:30:18 +00:00
|
|
|
else if (which.isIPv4()) getNumberTypeHash<IPv4, is_first>(column, vec, pos);
|
|
|
|
else if (which.isIPv6()) getNumberTypeHash<IPv6, is_first>(column, vec, pos);
|
2019-05-10 03:42:28 +00:00
|
|
|
else if (which.isString()) getStringTypeHash<is_first>(column, vec, pos);
|
|
|
|
else if (which.isFixedString()) getStringTypeHash<is_first>(column, vec, pos);
|
2023-01-23 21:13:58 +00:00
|
|
|
else throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected type {} of bloom filter index.", data_type->getName());
|
2019-05-10 03:42:28 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
template <typename Type, bool is_first>
|
|
|
|
static void getNumberTypeHash(const IColumn * column, ColumnUInt64::Container & vec, size_t pos)
|
|
|
|
{
|
|
|
|
const auto * index_column = typeid_cast<const ColumnVector<Type> *>(column);
|
|
|
|
|
|
|
|
if (unlikely(!index_column))
|
2023-01-23 21:13:58 +00:00
|
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column type was passed to the bloom filter index.");
|
2019-05-10 03:42:28 +00:00
|
|
|
|
|
|
|
const typename ColumnVector<Type>::Container & vec_from = index_column->getData();
|
|
|
|
|
2019-06-19 15:09:07 +00:00
|
|
|
/// Because we're missing the precision of float in the Field.h
|
|
|
|
/// to be consistent, we need to convert Float32 to Float64 processing, also see: BloomFilterHash::hashWithField
|
|
|
|
if constexpr (std::is_same_v<ColumnVector<Type>, ColumnFloat32>)
|
2019-05-10 03:42:28 +00:00
|
|
|
{
|
2019-06-19 15:09:07 +00:00
|
|
|
for (size_t index = 0, size = vec.size(); index < size; ++index)
|
|
|
|
{
|
2020-11-04 20:41:10 +00:00
|
|
|
UInt64 hash = DefaultHash64<Float64>(Float64(vec_from[index + pos]));
|
2019-05-10 03:42:28 +00:00
|
|
|
|
2019-06-19 15:09:07 +00:00
|
|
|
if constexpr (is_first)
|
|
|
|
vec[index] = hash;
|
|
|
|
else
|
|
|
|
vec[index] = CityHash_v1_0_2::Hash128to64(CityHash_v1_0_2::uint128(vec[index], hash));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
for (size_t index = 0, size = vec.size(); index < size; ++index)
|
|
|
|
{
|
2020-11-04 20:41:10 +00:00
|
|
|
UInt64 hash = DefaultHash64<Type>(vec_from[index + pos]);
|
2019-06-19 15:09:07 +00:00
|
|
|
|
|
|
|
if constexpr (is_first)
|
|
|
|
vec[index] = hash;
|
|
|
|
else
|
|
|
|
vec[index] = CityHash_v1_0_2::Hash128to64(CityHash_v1_0_2::uint128(vec[index], hash));
|
|
|
|
}
|
2019-05-10 03:42:28 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
template <bool is_first>
|
|
|
|
static void getStringTypeHash(const IColumn * column, ColumnUInt64::Container & vec, size_t pos)
|
|
|
|
{
|
|
|
|
if (const auto * index_column = typeid_cast<const ColumnString *>(column))
|
|
|
|
{
|
|
|
|
const ColumnString::Chars & data = index_column->getChars();
|
|
|
|
const ColumnString::Offsets & offsets = index_column->getOffsets();
|
|
|
|
|
|
|
|
for (size_t index = 0, size = vec.size(); index < size; ++index)
|
|
|
|
{
|
2020-06-12 18:17:06 +00:00
|
|
|
ColumnString::Offset current_offset = offsets[index + pos - 1];
|
|
|
|
size_t length = offsets[index + pos] - current_offset - 1 /* terminating zero */;
|
2019-05-10 03:42:28 +00:00
|
|
|
UInt64 city_hash = CityHash_v1_0_2::CityHash64(
|
2020-06-12 18:17:06 +00:00
|
|
|
reinterpret_cast<const char *>(&data[current_offset]), length);
|
2019-05-10 03:42:28 +00:00
|
|
|
|
|
|
|
if constexpr (is_first)
|
|
|
|
vec[index] = city_hash;
|
|
|
|
else
|
|
|
|
vec[index] = CityHash_v1_0_2::Hash128to64(CityHash_v1_0_2::uint128(vec[index], city_hash));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if (const auto * fixed_string_index_column = typeid_cast<const ColumnFixedString *>(column))
|
|
|
|
{
|
|
|
|
size_t fixed_len = fixed_string_index_column->getN();
|
|
|
|
const auto & data = fixed_string_index_column->getChars();
|
|
|
|
|
|
|
|
for (size_t index = 0, size = vec.size(); index < size; ++index)
|
|
|
|
{
|
|
|
|
UInt64 city_hash = CityHash_v1_0_2::CityHash64(reinterpret_cast<const char *>(&data[(index + pos) * fixed_len]), fixed_len);
|
|
|
|
|
|
|
|
if constexpr (is_first)
|
|
|
|
vec[index] = city_hash;
|
|
|
|
else
|
|
|
|
vec[index] = CityHash_v1_0_2::Hash128to64(CityHash_v1_0_2::uint128(vec[index], city_hash));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
2023-01-23 21:13:58 +00:00
|
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column type was passed to the bloom filter index.");
|
2019-05-10 03:42:28 +00:00
|
|
|
}
|
2019-06-19 15:09:07 +00:00
|
|
|
|
|
|
|
static std::pair<size_t, size_t> calculationBestPractices(double max_conflict_probability)
|
|
|
|
{
|
|
|
|
static const size_t MAX_BITS_PER_ROW = 20;
|
|
|
|
static const size_t MAX_HASH_FUNCTION_COUNT = 15;
|
|
|
|
|
|
|
|
/// For the smallest index per level in probability_lookup_table
|
|
|
|
static const size_t min_probability_index_each_bits[] = {0, 0, 1, 2, 3, 3, 4, 5, 6, 6, 7, 8, 8, 9, 10, 10, 11, 12, 12, 13, 14};
|
|
|
|
|
|
|
|
static const long double probability_lookup_table[MAX_BITS_PER_ROW + 1][MAX_HASH_FUNCTION_COUNT] =
|
|
|
|
{
|
|
|
|
{1.0}, /// dummy, 0 bits per row
|
|
|
|
{1.0, 1.0},
|
|
|
|
{1.0, 0.393, 0.400},
|
|
|
|
{1.0, 0.283, 0.237, 0.253},
|
|
|
|
{1.0, 0.221, 0.155, 0.147, 0.160},
|
|
|
|
{1.0, 0.181, 0.109, 0.092, 0.092, 0.101}, // 5
|
|
|
|
{1.0, 0.154, 0.0804, 0.0609, 0.0561, 0.0578, 0.0638},
|
|
|
|
{1.0, 0.133, 0.0618, 0.0423, 0.0359, 0.0347, 0.0364},
|
|
|
|
{1.0, 0.118, 0.0489, 0.0306, 0.024, 0.0217, 0.0216, 0.0229},
|
|
|
|
{1.0, 0.105, 0.0397, 0.0228, 0.0166, 0.0141, 0.0133, 0.0135, 0.0145},
|
|
|
|
{1.0, 0.0952, 0.0329, 0.0174, 0.0118, 0.00943, 0.00844, 0.00819, 0.00846}, // 10
|
|
|
|
{1.0, 0.0869, 0.0276, 0.0136, 0.00864, 0.0065, 0.00552, 0.00513, 0.00509},
|
|
|
|
{1.0, 0.08, 0.0236, 0.0108, 0.00646, 0.00459, 0.00371, 0.00329, 0.00314},
|
|
|
|
{1.0, 0.074, 0.0203, 0.00875, 0.00492, 0.00332, 0.00255, 0.00217, 0.00199, 0.00194},
|
|
|
|
{1.0, 0.0689, 0.0177, 0.00718, 0.00381, 0.00244, 0.00179, 0.00146, 0.00129, 0.00121, 0.0012},
|
|
|
|
{1.0, 0.0645, 0.0156, 0.00596, 0.003, 0.00183, 0.00128, 0.001, 0.000852, 0.000775, 0.000744}, // 15
|
|
|
|
{1.0, 0.0606, 0.0138, 0.005, 0.00239, 0.00139, 0.000935, 0.000702, 0.000574, 0.000505, 0.00047, 0.000459},
|
|
|
|
{1.0, 0.0571, 0.0123, 0.00423, 0.00193, 0.00107, 0.000692, 0.000499, 0.000394, 0.000335, 0.000302, 0.000287, 0.000284},
|
|
|
|
{1.0, 0.054, 0.0111, 0.00362, 0.00158, 0.000839, 0.000519, 0.00036, 0.000275, 0.000226, 0.000198, 0.000183, 0.000176},
|
|
|
|
{1.0, 0.0513, 0.00998, 0.00312, 0.0013, 0.000663, 0.000394, 0.000264, 0.000194, 0.000155, 0.000132, 0.000118, 0.000111, 0.000109},
|
|
|
|
{1.0, 0.0488, 0.00906, 0.0027, 0.00108, 0.00053, 0.000303, 0.000196, 0.00014, 0.000108, 8.89e-05, 7.77e-05, 7.12e-05, 6.79e-05, 6.71e-05} // 20
|
|
|
|
};
|
|
|
|
|
|
|
|
for (size_t bits_per_row = 1; bits_per_row < MAX_BITS_PER_ROW; ++bits_per_row)
|
|
|
|
{
|
|
|
|
if (probability_lookup_table[bits_per_row][min_probability_index_each_bits[bits_per_row]] <= max_conflict_probability)
|
|
|
|
{
|
|
|
|
size_t max_size_of_hash_functions = min_probability_index_each_bits[bits_per_row];
|
|
|
|
for (size_t size_of_hash_functions = max_size_of_hash_functions; size_of_hash_functions > 0; --size_of_hash_functions)
|
|
|
|
if (probability_lookup_table[bits_per_row][size_of_hash_functions] > max_conflict_probability)
|
|
|
|
return std::pair<size_t, size_t>(bits_per_row, size_of_hash_functions + 1);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return std::pair<size_t, size_t>(MAX_BITS_PER_ROW - 1, min_probability_index_each_bits[MAX_BITS_PER_ROW - 1]);
|
|
|
|
}
|
2019-05-10 03:42:28 +00:00
|
|
|
};
|
|
|
|
|
|
|
|
}
|