void SimpleStoreMerger::mergeValues(const std::vector<c_atable_ptr_t > &input_tables,
atable_ptr_t merged_table,
const column_mapping_t &column_mapping,
const uint64_t newSize,
bool useValid,
const std::vector<bool>& valid) {
if (useValid)
throw std::runtime_error("SimpleStoreMerger does not support valid vectors");
if(input_tables.size() != 2) throw std::runtime_error("SimpleStoreMerger does not support more than two tables");
auto delta = std::dynamic_pointer_cast<const RawTable>(input_tables[1]);
auto main = input_tables[0];
// Prepare type handling
MergeDictFunctor fun;
type_switch<hyrise_basic_types> ts;
std::vector<MergeDictFunctor::result> mergedDictionaries(column_mapping.size());
// Extract unique values for delta
for(const auto& kv : column_mapping) {
const auto& col = kv.first;
const auto& dst = kv.second;
fun.prepare(main, delta, col);
auto result = ts(main->typeOfColumn(col), fun);
merged_table->setDictionaryAt(result.dict, dst);
mergedDictionaries[col] = result;
}
// Update the values of the new Table
merged_table->resize(newSize);
size_t tabSize = main->size();
for(size_t row=0; row < tabSize; ++row) {
for( const auto& kv : column_mapping) {
const auto& col = kv.first;
const auto& dst = kv.second;
merged_table->setValueId(dst, row, ValueId{mergedDictionaries[col].mapping[main->getValueId(col, row).valueId], 0});
}
}
// Map the values for the values in the uncompressed delta
MapValueForValueId map;
for( const auto& kv : column_mapping) {
const auto& col = kv.first;
const auto& dst = kv.second;
map.prepare(merged_table, dst, mergedDictionaries[col].dict, col, delta);
ts(merged_table->typeOfColumn(dst), map);
}
}
void SequentialHeapMerger::mergeValues(const std::vector<c_atable_ptr_t > &input_tables,
atable_ptr_t merged_table,
const column_mapping_t &column_mapping,
const uint64_t newSize,
bool useValid,
const std::vector<bool>& valid) {
//if (input_tables.size () != 2)
// throw std::runtime_error("Merging more than 2 tables is not supported with this merger...");
std::vector<value_id_mapping_t> mappingPerAtrtibute(input_tables[0]->columnCount());
for (const auto & kv: column_mapping) {
const auto &source = kv.first;
const auto &destination = kv.second;
switch (merged_table->metadataAt(destination).getType()) {
case IntegerType:
case IntegerTypeDelta:
case IntegerTypeDeltaConcurrent:
mergeValues<hyrise_int_t>(input_tables, source, merged_table, destination, mappingPerAtrtibute[source], useValid, valid);
break;
case FloatType:
case FloatTypeDelta:
case FloatTypeDeltaConcurrent:
mergeValues<hyrise_float_t>(input_tables, source, merged_table, destination, mappingPerAtrtibute[source], useValid, valid);
break;
case StringType:
case StringTypeDelta:
case StringTypeDeltaConcurrent:
mergeValues<hyrise_string_t>(input_tables, source, merged_table, destination, mappingPerAtrtibute[source], useValid, valid);
break;
case IntegerNoDictType:
case FloatNoDictType:
merged_table->setDictionaryAt(makeDictionary(merged_table->typeOfColumn(destination)), destination);
default:
break;
}
}
merged_table->resize(newSize);
// Only after the dictionaries are merged copy the values
for (const auto & kv: column_mapping) {
const auto &source = kv.first;
const auto &destination = kv.second;
// copy the actual values and apply mapping
copyValues(input_tables, source, merged_table, destination, mappingPerAtrtibute[source], useValid, valid);
}
}