#include "parquet_cursor.h" ParquetCursor::ParquetCursor(ParquetTable* table) { this->table = table; this->rowId = -1; // TODO: consider having a long lived handle in ParquetTable that can be borrowed // without incurring the cost of opening the file from scratch twice this->reader = parquet::ParquetFileReader::OpenFile(this->table->file.data()); this->rowGroupId = -1; // TODO: handle the case where rowgroups have disjoint schemas? // TODO: or at least, fail fast if detected this->rowsLeftInRowGroup = 0; this->numRows = reader->metadata()->num_rows(); this->numRowGroups = reader->metadata()->num_row_groups(); } void ParquetCursor::nextRowGroup() { // TODO: skip row groups that cannot satisfy the constraints if(this->rowGroupId >= this->numRowGroups) return; rowGroupId++; rowGroupMetadata = this->reader->metadata()->RowGroup(0); rowsLeftInRowGroup = rowGroupMetadata->num_rows(); rowGroup = reader->RowGroup(rowGroupId); for(unsigned int i = 0; i < scanners.size(); i++) scanners[i] = NULL; while(types.size() < (unsigned int)rowGroupMetadata->num_columns()) { types.push_back(rowGroupMetadata->schema()->Column(0)->physical_type()); } while(logicalTypes.size() < (unsigned int)rowGroupMetadata->num_columns()) { logicalTypes.push_back(rowGroupMetadata->schema()->Column(0)->logical_type()); } for(unsigned int i = 0; i < (unsigned int)rowGroupMetadata->num_columns(); i++) { types[i] = rowGroupMetadata->schema()->Column(i)->physical_type(); logicalTypes[i] = rowGroupMetadata->schema()->Column(i)->logical_type(); } } void ParquetCursor::next() { if(rowsLeftInRowGroup == 0) nextRowGroup(); rowsLeftInRowGroup--; rowId++; } int ParquetCursor::getRowId() { return rowId; } bool ParquetCursor::eof() { return rowId >= numRows; } void ParquetCursor::ensureColumn(int col) { // need to ensure a scanner exists (and skip the # of rows in the rowgroup) while((unsigned int)col >= scanners.size()) { scanners.push_back(std::shared_ptr()); colRows.push_back(-1); colNulls.push_back(false); colIntValues.push_back(0); colDoubleValues.push_back(0); colByteArrayValues.push_back(parquet::ByteArray()); } if(scanners[col].get() == NULL) { std::shared_ptr colReader = rowGroup->Column(col); scanners[col] = parquet::Scanner::Make(colReader); // TODO: potentially skip rows if rowsLeftInRowGroup != rowGroupMetadata->num_rows() } // Actually fetch a value, stash data in colRows, colNulls, colValues if(colRows[col] != rowId) { colRows[col] = rowId; bool wasNull = false; switch(types[col]) { case parquet::Type::INT32: { parquet::Int32Scanner* s = (parquet::Int32Scanner*)scanners[col].get(); int rv = 0; if(s->NextValue(&rv, &wasNull)) { colIntValues[col] = rv; } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::FLOAT: { parquet::FloatScanner* s = (parquet::FloatScanner*)scanners[col].get(); float rv = 0; if(s->NextValue(&rv, &wasNull)) { colDoubleValues[col] = rv; } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::DOUBLE: { parquet::DoubleScanner* s = (parquet::DoubleScanner*)scanners[col].get(); double rv = 0; if(s->NextValue(&rv, &wasNull)) { colDoubleValues[col] = rv; } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::BYTE_ARRAY: { parquet::ByteArrayScanner* s = (parquet::ByteArrayScanner*)scanners[col].get(); if(!s->NextValue(&colByteArrayValues[col], &wasNull)) { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::INT96: { // INT96 tracks a date with nanosecond precision, convert to ms since epoch. // ...see https://github.com/apache/parquet-format/pull/49 for more // // First 8 bytes: nanoseconds into the day // Last 4 bytes: Julian day // To get nanoseconds since the epoch: // (julian_day - 2440588) * (86400 * 1000 * 1000 * 1000) + nanoseconds parquet::Int96Scanner* s = (parquet::Int96Scanner*)scanners[col].get(); parquet::Int96 rv; rv.value[0] = 0; rv.value[1] = 0; rv.value[2] = 0; if(s->NextValue(&rv, &wasNull)) { __int128 ns = rv.value[0] + ((unsigned long)rv.value[1] << 32); __int128 julianDay = rv.value[2]; __int128 nsSinceEpoch = (julianDay - 2440588); nsSinceEpoch *= 86400; nsSinceEpoch *= 1000 * 1000 * 1000; nsSinceEpoch += ns; nsSinceEpoch /= 1000000; colIntValues[col] = nsSinceEpoch; } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::INT64: { parquet::Int64Scanner* s = (parquet::Int64Scanner*)scanners[col].get(); long rv = 0; if(s->NextValue(&rv, &wasNull)) { colIntValues[col] = rv; } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::BOOLEAN: { parquet::BoolScanner* s = (parquet::BoolScanner*)scanners[col].get(); bool rv = false; if(s->NextValue(&rv, &wasNull)) { colIntValues[col] = rv ? 1 : 0; } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } case parquet::Type::FIXED_LEN_BYTE_ARRAY: { parquet::FixedLenByteArrayScanner* s = (parquet::FixedLenByteArrayScanner*)scanners[col].get(); parquet::FixedLenByteArray flba; if(s->NextValue(&flba, &wasNull)) { colByteArrayValues[col].ptr = flba.ptr; // TODO: cache this colByteArrayValues[col].len = rowGroupMetadata->schema()->Column(col)->type_length(); } else { throw std::invalid_argument("unexpectedly lacking a next value"); } break; } default: // Should be impossible to get here as we should have forbidden this at // CREATE time -- maybe file changed underneath us? std::ostringstream ss; ss << __FILE__ << ":" << __LINE__ << ": column " << col << " has unsupported type: " << parquet::TypeToString(types[col]); throw std::invalid_argument(ss.str()); break; } colNulls[col] = wasNull; } } bool ParquetCursor::isNull(int col) { return colNulls[col]; } int ParquetCursor::getInt32(int col) { return colIntValues[col]; } long ParquetCursor::getInt64(int col) { return colIntValues[col]; } double ParquetCursor::getDouble(int col) { return colDoubleValues[col]; } parquet::ByteArray* ParquetCursor::getByteArray(int col) { return &colByteArrayValues[col]; } parquet::Type::type ParquetCursor::getPhysicalType(int col) { return types[col]; } parquet::LogicalType::type ParquetCursor::getLogicalType(int col) { return logicalTypes[col]; }