TupleSchema* TupleSchema::createTupleSchema(const std::vector<ValueType>& columnTypes,
const std::vector<int32_t>& columnSizes,
const std::vector<bool>& allowNull,
const std::vector<bool>& columnInBytes,
const std::vector<ValueType>& hiddenColumnTypes,
const std::vector<int32_t>& hiddenColumnSizes,
const std::vector<bool>& hiddenAllowNull,
const std::vector<bool>& hiddenColumnInBytes)
{
const uint16_t uninlineableObjectColumnCount =
TupleSchema::countUninlineableObjectColumns(columnTypes, columnSizes, columnInBytes);
const uint16_t columnCount = static_cast<uint16_t>(columnTypes.size());
const uint16_t hiddenColumnCount = static_cast<uint16_t>(hiddenColumnTypes.size());
int memSize = memSizeForTupleSchema(columnCount,
uninlineableObjectColumnCount,
hiddenColumnCount);
// allocate the set amount of memory and cast it to a tuple pointer
TupleSchema *retval = reinterpret_cast<TupleSchema*>(new char[memSize]);
// clear all the offset values
memset(retval, 0, memSize);
retval->m_columnCount = columnCount;
retval->m_uninlinedObjectColumnCount = uninlineableObjectColumnCount;
retval->m_hiddenColumnCount = hiddenColumnCount;
retval->m_isHeaderless = false;
uint16_t uninlinedObjectColumnIndex = 0;
for (uint16_t ii = 0; ii < columnCount; ii++) {
const ValueType type = columnTypes[ii];
const uint32_t length = columnSizes[ii];
const bool columnAllowNull = allowNull[ii];
const bool inBytes = columnInBytes[ii];
retval->setColumnMetaData(ii, type, length, columnAllowNull, uninlinedObjectColumnIndex, inBytes);
}
for (uint16_t ii = 0; ii < hiddenColumnCount; ++ii) {
const ValueType type = hiddenColumnTypes[ii];
const uint32_t length = hiddenColumnSizes[ii];
const bool columnAllowNull = hiddenAllowNull[ii];
const bool inBytes = hiddenColumnInBytes[ii];
// We can't allow uninlineable data in hidden columns yet
if (! isInlineable(type, length, inBytes)) {
throwFatalLogicErrorStreamed("Attempt to create uninlineable hidden column");
}
retval->setColumnMetaData(static_cast<uint16_t>(columnCount + ii),
type,
length,
columnAllowNull,
uninlinedObjectColumnIndex,
inBytes);
}
return retval;
}
TupleSchema* TupleSchema::createTupleSchema(const std::vector<ValueType> columnTypes,
const std::vector<int32_t> columnSizes,
const std::vector<bool> allowNull,
bool allowInlinedObjects)
{
const uint16_t uninlineableObjectColumnCount =
TupleSchema::countUninlineableObjectColumns(columnTypes, columnSizes, allowInlinedObjects);
const uint16_t columnCount = static_cast<uint16_t>(columnTypes.size());
// big enough for any data members plus big enough for tupleCount + 1 "ColumnInfo"
// fields. We need CI+1 because we get the length of a column by offset subtraction
// Also allocate space for an int16_t for each uninlineable object column so that
// the indices of uninlineable columns can be stored at the front and aid in iteration
int memSize = (int)(sizeof(TupleSchema) +
(sizeof(ColumnInfo) * (columnCount + 1)) +
(uninlineableObjectColumnCount * sizeof(int16_t)));
// allocate the set amount of memory and cast it to a tuple pointer
TupleSchema *retval = reinterpret_cast<TupleSchema*>(new char[memSize]);
// clear all the offset values
memset(retval, 0, memSize);
retval->m_allowInlinedObjects = allowInlinedObjects;
retval->m_columnCount = columnCount;
retval->m_uninlinedObjectColumnCount = uninlineableObjectColumnCount;
uint16_t uninlinedObjectColumnIndex = 0;
for (uint16_t ii = 0; ii < columnCount; ii++) {
const ValueType type = columnTypes[ii];
const uint32_t length = columnSizes[ii];
const bool columnAllowNull = allowNull[ii];
retval->setColumnMetaData(ii, type, length, columnAllowNull, uninlinedObjectColumnIndex);
}
return retval;
}
