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#include <util/generic/yexception.h>
#include "yql_statistics.h"
#include <library/cpp/json/json_reader.h>
#include <library/cpp/string_utils/base64/base64.h>
#include <sstream>
using namespace NYql;
static TString ConvertToStatisticsTypeString(EStatisticsType type) {
switch (type) {
case EStatisticsType::BaseTable:
return "BaseTable";
case EStatisticsType::FilteredFactTable:
return "FilteredFactTable";
case EStatisticsType::ManyManyJoin:
return "ManyManyJoin";
default:
Y_ENSURE(false,"Unknown EStatisticsType");
}
return "";
}
static TString ConvertToStatisticsTypeString(EStorageType storageType) {
switch (storageType) {
case EStorageType::NA:
return "NA";
case EStorageType::RowStorage:
return "RowStorage";
case EStorageType::ColumnStorage:
return "ColumnStorage";
default:
Y_ENSURE(false,"Unknown Storage type");
}
return "";
}
TString TOptimizerStatistics::ToString() const {
std::stringstream ss;
ss << *this;
return ss.str();
}
std::ostream& NYql::operator<<(std::ostream& os, const TOptimizerStatistics& s) {
os << "Type: " << ConvertToStatisticsTypeString(s.Type) << ", Nrows: " << s.Nrows
<< ", Ncols: " << s.Ncols << ", ByteSize: " << s.ByteSize << ", Cost: " << s.Cost;
if (s.KeyColumns) {
os << ", keys: ";
std::string tmp;
for (const auto& c: s.KeyColumns->Data) {
tmp.append(c).append(", ");
}
if (!tmp.empty()) {
tmp.pop_back();
tmp.pop_back();
}
os << tmp;
}
os << ", Sel: " << s.Selectivity;
os << ", Storage: " << ConvertToStatisticsTypeString(s.StorageType);
if (s.SortColumns) {
os << ", sorted: ";
std::string tmp;
for (size_t i = 0; i < s.SortColumns->Columns.size() && i < s.SortColumns->Aliases.size(); i++) {
auto c = s.SortColumns->Columns[i];
auto a = s.SortColumns->Aliases[i];
if (a.empty()) {
tmp.append(a).append(".");
}
tmp.append(c).append(", ");
}
if (!tmp.empty()) {
tmp.pop_back();
tmp.pop_back();
}
os << tmp;
}
return os;
}
bool TOptimizerStatistics::Empty() const {
return ! (Nrows || Ncols || Cost);
}
TOptimizerStatistics::TOptimizerStatistics(
EStatisticsType type,
double nrows,
int ncols,
double byteSize,
double cost,
TIntrusivePtr<TKeyColumns> keyColumns,
TIntrusivePtr<TColumnStatMap> columnMap,
EStorageType storageType,
std::shared_ptr<IProviderStatistics> specific)
: Type(type)
, Nrows(nrows)
, Ncols(ncols)
, ByteSize(byteSize)
, Cost(cost)
, KeyColumns(keyColumns)
, ColumnStatistics(columnMap)
, StorageType(storageType)
, Specific(std::move(specific))
{
}
TOptimizerStatistics& TOptimizerStatistics::operator+=(const TOptimizerStatistics& other) {
Nrows += other.Nrows;
Ncols += other.Ncols;
ByteSize += other.ByteSize;
Cost += other.Cost;
return *this;
}
std::shared_ptr<TOptimizerStatistics> NYql::OverrideStatistics(const NYql::TOptimizerStatistics& s, const TStringBuf& tablePath, const std::shared_ptr<NJson::TJsonValue>& stats) {
auto res = std::make_shared<TOptimizerStatistics>(s.Type, s.Nrows, s.Ncols, s.ByteSize, s.Cost, s.KeyColumns, s.ColumnStatistics, s.StorageType, s.Specific);
res->SortColumns = s.SortColumns;
auto dbStats = stats->GetMapSafe();
if (!dbStats.contains(tablePath)){
return res;
}
auto tableStats = dbStats.at(tablePath).GetMapSafe();
if (auto keyCols = tableStats.find("key_columns"); keyCols != tableStats.end()) {
TVector<TString> cols;
for (auto c : keyCols->second.GetArraySafe()) {
cols.push_back(c.GetStringSafe());
}
res->KeyColumns = TIntrusivePtr<TOptimizerStatistics::TKeyColumns>(new TOptimizerStatistics::TKeyColumns(cols));
}
if (auto nrows = tableStats.find("n_rows"); nrows != tableStats.end()) {
res->Nrows = nrows->second.GetDoubleSafe();
}
if (auto byteSize = tableStats.find("byte_size"); byteSize != tableStats.end()) {
res->ByteSize = byteSize->second.GetDoubleSafe();
}
if (auto nattrs = tableStats.find("n_attrs"); nattrs != tableStats.end()) {
res->Ncols = nattrs->second.GetIntegerSafe();
}
if (auto columns = tableStats.find("columns"); columns != tableStats.end()) {
if (!res->ColumnStatistics) {
res->ColumnStatistics = TIntrusivePtr<TOptimizerStatistics::TColumnStatMap>(new TOptimizerStatistics::TColumnStatMap());
}
for (auto col : columns->second.GetArraySafe()) {
auto colMap = col.GetMapSafe();
TColumnStatistics cStat;
auto columnName = colMap.at("name").GetStringSafe();
if (auto numUniqueVals = colMap.find("n_unique_vals"); numUniqueVals != colMap.end()) {
cStat.NumUniqueVals = numUniqueVals->second.IsNull()? 0.0: numUniqueVals->second.GetDoubleSafe();
}
if (auto hll = colMap.find("hyperloglog"); hll != colMap.end()) {
cStat.HyperLogLog = hll->second.IsNull()? 0.0: hll->second.GetDoubleSafe();
}
if (auto countMinSketch = colMap.find("count-min"); countMinSketch != colMap.end()) {
TString countMinBase64 = countMinSketch->second.GetStringSafe();
TString countMinRaw{};
Base64StrictDecode(countMinBase64, countMinRaw);
cStat.CountMinSketch.reset(NKikimr::TCountMinSketch::FromString(countMinRaw.data(), countMinRaw.size()));
}
res->ColumnStatistics->Data[columnName] = cStat;
}
}
return res;
}
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