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Merge pull request #15705 from ClickHouse/remove-useless-code

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Remove useless code
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alexey-milovidov 2020-10-07 20:43:07 +03:00 committed by GitHub
commit 058dfbafce
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3 changed files with 6 additions and 194 deletions
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6
programs/server/Server.cpp
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@ -267,12 +267,6 @@ int Server::main(const std::vector<std::string> & /*args*/)
registerDictionaries();
registerDisks();
#if !defined(ARCADIA_BUILD)
#if USE_OPENCL
BitonicSort::getInstance().configure();
#endif
#endif
CurrentMetrics::set(CurrentMetrics::Revision, ClickHouseRevision::getVersionRevision());
CurrentMetrics::set(CurrentMetrics::VersionInteger, ClickHouseRevision::getVersionInteger());

6
utils/test-data-generator/CMakeLists.txt
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@ -9,4 +9,10 @@ if (USE_PROTOBUF)
target_link_libraries (ProtobufDelimitedMessagesSerializer PRIVATE ${Protobuf_LIBRARY} boost::program_options)
get_filename_component(ProtobufDelimitedMessagesSerializer_OutputDir "${CMAKE_CURRENT_LIST_DIR}/../../tests/queries/0_stateless" REALPATH)
target_compile_definitions(ProtobufDelimitedMessagesSerializer PRIVATE OUTPUT_DIR="${ProtobufDelimitedMessagesSerializer_OutputDir}")
# Protoc generates substandard code.
check_cxx_compiler_flag("-Wsuggest-destructor-override" HAS_SUGGEST_DESTRUCTOR_OVERRIDE)
if (HAS_SUGGEST_OVERRIDE)
target_compile_options(ProtobufDelimitedMessagesSerializer PRIVATE -Wno-suggest-destructor-override)
endif()
endif ()

188
utils/test-data-generator/MarkovModel.h
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@ -1,188 +0,0 @@
#pragma once
#include <Core/Types.h>
#include <Common/HashTable/HashMap.h>
#include <Common/Arena.h>
#include <ext/bit_cast.h>
#include <common/StringRef.h>
namespace DB
{
class MarkovModel
{
private:
using NGramHash = UInt32;
struct HistogramElement
{
UInt8 byte;
UInt32 count;
};
struct Histogram
{
UInt32 total = 0;
std::vector<HistogramElement> data;
void add(UInt8 byte)
{
++total;
for (auto & elem : data)
{
if (elem.byte == byte)
{
++elem.count;
return;
}
}
data.emplace_back(HistogramElement{.byte = byte, .count = 1});
}
UInt8 sample(UInt32 random) const
{
random %= total;
UInt32 sum = 0;
for (const auto & elem : data)
{
sum += elem.count;
if (sum > random)
return elem.byte;
}
__builtin_unreachable();
}
};
using Table = HashMap<NGramHash, Histogram, TrivialHash>;
Table table;
size_t n;
NGramHash hashContext(const char * pos, const char * data, size_t size) const
{
if (pos >= data + n)
return CRC32Hash()(StringRef(pos - n, n));
else
return CRC32Hash()(StringRef(data, pos - data));
}
public:
explicit MarkovModel(size_t n_) : n(n_) {}
MarkovModel() {}
void consume(const char * data, size_t size)
{
const char * pos = data;
const char * end = data + size;
while (pos < end)
{
table[hashContext(pos, data, size)].add(*pos);
++pos;
}
/// Mark end of string as zero byte.
table[hashContext(pos, data, size)].add(0);
}
template <typename Random>
size_t generate(char * data, size_t size, Random && random) const
{
char * pos = data;
char * end = data + size;
while (pos < end)
{
auto it = table.find(hashContext(pos, data, size));
if (table.end() == it)
return pos - data;
*pos = it->getMapped().sample(random());
/// Zero byte marks end of string.
if (0 == *pos)
return pos - data;
++pos;
}
return size;
}
/// Allows to add random noise to frequencies.
template <typename Transform>
void modifyCounts(Transform && transform)
{
for (auto & elem : table)
{
UInt32 new_total = 0;
for (auto & frequency : elem.getMapped().data)
{
frequency.count = transform(frequency.count);
new_total += frequency.count;
}
elem.getMapped().total = new_total;
}
}
void write(WriteBuffer & out) const
{
writeBinary(UInt8(n), out);
writeVarUInt(table.size(), out);
for (const auto & elem : table)
{
writeBinary(elem.getKey(), out);
writeBinary(UInt8(elem.getMapped().data.size()), out);
for (const auto & frequency : elem.getMapped().data)
{
writeBinary(frequency.byte, out);
writeVarUInt(frequency.count, out);
}
}
}
void read(ReadBuffer & in)
{
table.clear();
UInt8 read_n = 0;
readBinary(read_n, in);
n = read_n;
size_t read_size = 0;
readVarUInt(read_size, in);
for (size_t i = 0; i < read_size; ++i)
{
NGramHash key = 0;
UInt8 historgam_size = 0;
readBinary(key, in);
readBinary(historgam_size, in);
Histogram & histogram = table[key];
histogram.data.resize(historgam_size);
for (size_t j = 0; j < historgam_size; ++j)
{
readBinary(histogram.data[j].byte, in);
readVarUInt(histogram.data[j].count, in);
histogram.total += histogram.data[j].count;
}
}
}
};
}