private void readFixedLenByteArrayBatch(int rowId, int num, ColumnVector column, int arrayLen)
throws IOException {
VectorizedValuesReader data = (VectorizedValuesReader) dataColumn;
// This is where we implement support for the valid type conversions.
// TODO: implement remaining type conversions
if (DecimalType.is32BitDecimalType(column.dataType())) {
for (int i = 0; i < num; i++) {
if (defColumn.readInteger() == maxDefLevel) {
column.putInt(
rowId + i, (int) ParquetRowConverter.binaryToUnscaledLong(data.readBinary(arrayLen)));
} else {
column.putNull(rowId + i);
}
}
} else if (DecimalType.is64BitDecimalType(column.dataType())) {
for (int i = 0; i < num; i++) {
if (defColumn.readInteger() == maxDefLevel) {
column.putLong(
rowId + i, ParquetRowConverter.binaryToUnscaledLong(data.readBinary(arrayLen)));
} else {
column.putNull(rowId + i);
}
}
} else if (DecimalType.isByteArrayDecimalType(column.dataType())) {
for (int i = 0; i < num; i++) {
if (defColumn.readInteger() == maxDefLevel) {
column.putByteArray(rowId + i, data.readBinary(arrayLen).getBytes());
} else {
column.putNull(rowId + i);
}
}
} else {
throw new UnsupportedOperationException("Unimplemented type: " + column.dataType());
}
}
private void readLongBatch(int rowId, int num, ColumnVector column) throws IOException {
// This is where we implement support for the valid type conversions.
if (column.dataType() == DataTypes.LongType
|| DecimalType.is64BitDecimalType(column.dataType())) {
defColumn.readLongs(num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
} else {
throw new UnsupportedOperationException("Unsupported conversion to: " + column.dataType());
}
}
@Override
public Object get(int ordinal, DataType dataType) {
if (isNullAt(ordinal) || dataType instanceof NullType) {
return null;
} else if (dataType instanceof BooleanType) {
return getBoolean(ordinal);
} else if (dataType instanceof ByteType) {
return getByte(ordinal);
} else if (dataType instanceof ShortType) {
return getShort(ordinal);
} else if (dataType instanceof IntegerType) {
return getInt(ordinal);
} else if (dataType instanceof LongType) {
return getLong(ordinal);
} else if (dataType instanceof FloatType) {
return getFloat(ordinal);
} else if (dataType instanceof DoubleType) {
return getDouble(ordinal);
} else if (dataType instanceof DecimalType) {
DecimalType dt = (DecimalType) dataType;
return getDecimal(ordinal, dt.precision(), dt.scale());
} else if (dataType instanceof DateType) {
return getInt(ordinal);
} else if (dataType instanceof TimestampType) {
return getLong(ordinal);
} else if (dataType instanceof BinaryType) {
return getBinary(ordinal);
} else if (dataType instanceof StringType) {
return getUTF8String(ordinal);
} else if (dataType instanceof CalendarIntervalType) {
return getInterval(ordinal);
} else if (dataType instanceof StructType) {
return getStruct(ordinal, ((StructType) dataType).size());
} else if (dataType instanceof ArrayType) {
return getArray(ordinal);
} else if (dataType instanceof MapType) {
return getMap(ordinal);
} else if (dataType instanceof UserDefinedType) {
return get(ordinal, ((UserDefinedType) dataType).sqlType());
} else {
throw new UnsupportedOperationException("Unsupported data type " + dataType.simpleString());
}
}
private void readIntBatch(int rowId, int num, ColumnVector column) throws IOException {
// This is where we implement support for the valid type conversions.
// TODO: implement remaining type conversions
if (column.dataType() == DataTypes.IntegerType
|| column.dataType() == DataTypes.DateType
|| DecimalType.is32BitDecimalType(column.dataType())) {
defColumn.readIntegers(num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
} else if (column.dataType() == DataTypes.ByteType) {
defColumn.readBytes(num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
} else if (column.dataType() == DataTypes.ShortType) {
defColumn.readShorts(num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
} else {
throw new UnsupportedOperationException("Unimplemented type: " + column.dataType());
}
}
/** Reads `num` values into column, decoding the values from `dictionaryIds` and `dictionary`. */
private void decodeDictionaryIds(
int rowId, int num, ColumnVector column, ColumnVector dictionaryIds) {
switch (descriptor.getType()) {
case INT32:
if (column.dataType() == DataTypes.IntegerType
|| DecimalType.is32BitDecimalType(column.dataType())) {
for (int i = rowId; i < rowId + num; ++i) {
column.putInt(i, dictionary.decodeToInt(dictionaryIds.getInt(i)));
}
} else if (column.dataType() == DataTypes.ByteType) {
for (int i = rowId; i < rowId + num; ++i) {
column.putByte(i, (byte) dictionary.decodeToInt(dictionaryIds.getInt(i)));
}
} else if (column.dataType() == DataTypes.ShortType) {
for (int i = rowId; i < rowId + num; ++i) {
column.putShort(i, (short) dictionary.decodeToInt(dictionaryIds.getInt(i)));
}
} else {
throw new UnsupportedOperationException("Unimplemented type: " + column.dataType());
}
break;
case INT64:
if (column.dataType() == DataTypes.LongType
|| DecimalType.is64BitDecimalType(column.dataType())) {
for (int i = rowId; i < rowId + num; ++i) {
column.putLong(i, dictionary.decodeToLong(dictionaryIds.getInt(i)));
}
} else {
throw new UnsupportedOperationException("Unimplemented type: " + column.dataType());
}
break;
case FLOAT:
for (int i = rowId; i < rowId + num; ++i) {
column.putFloat(i, dictionary.decodeToFloat(dictionaryIds.getInt(i)));
}
break;
case DOUBLE:
for (int i = rowId; i < rowId + num; ++i) {
column.putDouble(i, dictionary.decodeToDouble(dictionaryIds.getInt(i)));
}
break;
case INT96:
if (column.dataType() == DataTypes.TimestampType) {
for (int i = rowId; i < rowId + num; ++i) {
// TODO: Convert dictionary of Binaries to dictionary of Longs
Binary v = dictionary.decodeToBinary(dictionaryIds.getInt(i));
column.putLong(i, ParquetRowConverter.binaryToSQLTimestamp(v));
}
} else {
throw new UnsupportedOperationException();
}
break;
case BINARY:
// TODO: this is incredibly inefficient as it blows up the dictionary right here. We
// need to do this better. We should probably add the dictionary data to the ColumnVector
// and reuse it across batches. This should mean adding a ByteArray would just update
// the length and offset.
for (int i = rowId; i < rowId + num; ++i) {
Binary v = dictionary.decodeToBinary(dictionaryIds.getInt(i));
column.putByteArray(i, v.getBytes());
}
break;
case FIXED_LEN_BYTE_ARRAY:
// DecimalType written in the legacy mode
if (DecimalType.is32BitDecimalType(column.dataType())) {
for (int i = rowId; i < rowId + num; ++i) {
Binary v = dictionary.decodeToBinary(dictionaryIds.getInt(i));
column.putInt(i, (int) ParquetRowConverter.binaryToUnscaledLong(v));
}
} else if (DecimalType.is64BitDecimalType(column.dataType())) {
for (int i = rowId; i < rowId + num; ++i) {
Binary v = dictionary.decodeToBinary(dictionaryIds.getInt(i));
column.putLong(i, ParquetRowConverter.binaryToUnscaledLong(v));
}
} else if (DecimalType.isByteArrayDecimalType(column.dataType())) {
for (int i = rowId; i < rowId + num; ++i) {
Binary v = dictionary.decodeToBinary(dictionaryIds.getInt(i));
column.putByteArray(i, v.getBytes());
}
} else {
throw new UnsupportedOperationException();
}
break;
default:
throw new UnsupportedOperationException("Unsupported type: " + descriptor.getType());
}
}
