Examples with PrimitiveTypeInfo org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo used on opensource projects

Example 66 with PrimitiveTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo in project hive by apache.

the class VectorExtractRow method extractRowColumn.

public Object extractRowColumn(ColumnVector colVector, TypeInfo typeInfo, ObjectInspector objectInspector, int batchIndex) {
    if (colVector == null) {
        // may ask for them..
        return null;
    }
    final int adjustedIndex = (colVector.isRepeating ? 0 : batchIndex);
    if (!colVector.noNulls && colVector.isNull[adjustedIndex]) {
        return null;
    }
    final Category category = typeInfo.getCategory();
    switch(category) {
        case PRIMITIVE:
            {
                final PrimitiveTypeInfo primitiveTypeInfo = (PrimitiveTypeInfo) typeInfo;
                final PrimitiveCategory primitiveCategory = primitiveTypeInfo.getPrimitiveCategory();
                final Writable primitiveWritable = VectorizedBatchUtil.getPrimitiveWritable(primitiveCategory);
                switch(primitiveCategory) {
                    case VOID:
                        return null;
                    case BOOLEAN:
                        ((BooleanWritable) primitiveWritable).set(((LongColumnVector) colVector).vector[adjustedIndex] == 0 ? false : true);
                        return primitiveWritable;
                    case BYTE:
                        ((ByteWritable) primitiveWritable).set((byte) ((LongColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case SHORT:
                        ((ShortWritable) primitiveWritable).set((short) ((LongColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case INT:
                        ((IntWritable) primitiveWritable).set((int) ((LongColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case LONG:
                        ((LongWritable) primitiveWritable).set(((LongColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case TIMESTAMP:
                        ((TimestampWritable) primitiveWritable).set(((TimestampColumnVector) colVector).asScratchTimestamp(adjustedIndex));
                        return primitiveWritable;
                    case DATE:
                        ((DateWritable) primitiveWritable).set((int) ((LongColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case FLOAT:
                        ((FloatWritable) primitiveWritable).set((float) ((DoubleColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case DOUBLE:
                        ((DoubleWritable) primitiveWritable).set(((DoubleColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case BINARY:
                        {
                            final BytesColumnVector bytesColVector = ((BytesColumnVector) colVector);
                            final byte[] bytes = bytesColVector.vector[adjustedIndex];
                            final int start = bytesColVector.start[adjustedIndex];
                            final int length = bytesColVector.length[adjustedIndex];
                            if (bytesColVector.isRepeating) {
                                if (!bytesColVector.isNull[0] && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            } else {
                                if ((bytesColVector.noNulls || !bytesColVector.isNull[batchIndex]) && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            }
                            BytesWritable bytesWritable = (BytesWritable) primitiveWritable;
                            bytesWritable.set(bytes, start, length);
                            return primitiveWritable;
                        }
                    case STRING:
                        {
                            final BytesColumnVector bytesColVector = ((BytesColumnVector) colVector);
                            final byte[] bytes = bytesColVector.vector[adjustedIndex];
                            final int start = bytesColVector.start[adjustedIndex];
                            final int length = bytesColVector.length[adjustedIndex];
                            if (bytesColVector.isRepeating) {
                                if (!bytesColVector.isNull[0] && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            } else {
                                if ((bytesColVector.noNulls || !bytesColVector.isNull[batchIndex]) && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            }
                            // Use org.apache.hadoop.io.Text as our helper to go from byte[] to String.
                            ((Text) primitiveWritable).set(bytes, start, length);
                            return primitiveWritable;
                        }
                    case VARCHAR:
                        {
                            final BytesColumnVector bytesColVector = ((BytesColumnVector) colVector);
                            final byte[] bytes = bytesColVector.vector[adjustedIndex];
                            final int start = bytesColVector.start[adjustedIndex];
                            final int length = bytesColVector.length[adjustedIndex];
                            if (bytesColVector.isRepeating) {
                                if (!bytesColVector.isNull[0] && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            } else {
                                if ((bytesColVector.noNulls || !bytesColVector.isNull[batchIndex]) && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            }
                            final int adjustedLength = StringExpr.truncate(bytes, start, length, ((VarcharTypeInfo) primitiveTypeInfo).getLength());
                            final HiveVarcharWritable hiveVarcharWritable = (HiveVarcharWritable) primitiveWritable;
                            hiveVarcharWritable.set(new String(bytes, start, adjustedLength, Charsets.UTF_8), -1);
                            return primitiveWritable;
                        }
                    case CHAR:
                        {
                            final BytesColumnVector bytesColVector = ((BytesColumnVector) colVector);
                            final byte[] bytes = bytesColVector.vector[adjustedIndex];
                            final int start = bytesColVector.start[adjustedIndex];
                            final int length = bytesColVector.length[adjustedIndex];
                            if (bytesColVector.isRepeating) {
                                if (!bytesColVector.isNull[0] && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            } else {
                                if ((bytesColVector.noNulls || !bytesColVector.isNull[batchIndex]) && bytes == null) {
                                    nullBytesReadError(primitiveCategory, batchIndex);
                                }
                            }
                            final int adjustedLength = StringExpr.rightTrimAndTruncate(bytes, start, length, ((CharTypeInfo) primitiveTypeInfo).getLength());
                            final HiveCharWritable hiveCharWritable = (HiveCharWritable) primitiveWritable;
                            hiveCharWritable.set(new String(bytes, start, adjustedLength, Charsets.UTF_8), ((CharTypeInfo) primitiveTypeInfo).getLength());
                            return primitiveWritable;
                        }
                    case DECIMAL:
                        if (colVector instanceof Decimal64ColumnVector) {
                            Decimal64ColumnVector dec32ColVector = (Decimal64ColumnVector) colVector;
                            ((HiveDecimalWritable) primitiveWritable).deserialize64(dec32ColVector.vector[adjustedIndex], dec32ColVector.scale);
                        } else {
                            // The HiveDecimalWritable set method will quickly copy the deserialized decimal writable fields.
                            ((HiveDecimalWritable) primitiveWritable).set(((DecimalColumnVector) colVector).vector[adjustedIndex]);
                        }
                        return primitiveWritable;
                    case INTERVAL_YEAR_MONTH:
                        ((HiveIntervalYearMonthWritable) primitiveWritable).set((int) ((LongColumnVector) colVector).vector[adjustedIndex]);
                        return primitiveWritable;
                    case INTERVAL_DAY_TIME:
                        ((HiveIntervalDayTimeWritable) primitiveWritable).set(((IntervalDayTimeColumnVector) colVector).asScratchIntervalDayTime(adjustedIndex));
                        return primitiveWritable;
                    default:
                        throw new RuntimeException("Primitive category " + primitiveCategory.name() + " not supported");
                }
            }
        case LIST:
            {
                final ListColumnVector listColumnVector = (ListColumnVector) colVector;
                final ListTypeInfo listTypeInfo = (ListTypeInfo) typeInfo;
                final ListObjectInspector listObjectInspector = (ListObjectInspector) objectInspector;
                final int offset = (int) listColumnVector.offsets[adjustedIndex];
                final int size = (int) listColumnVector.lengths[adjustedIndex];
                final List list = new ArrayList();
                for (int i = 0; i < size; i++) {
                    list.add(extractRowColumn(listColumnVector.child, listTypeInfo.getListElementTypeInfo(), listObjectInspector.getListElementObjectInspector(), offset + i));
                }
                return list;
            }
        case MAP:
            {
                final MapColumnVector mapColumnVector = (MapColumnVector) colVector;
                final MapTypeInfo mapTypeInfo = (MapTypeInfo) typeInfo;
                final MapObjectInspector mapObjectInspector = (MapObjectInspector) objectInspector;
                final int offset = (int) mapColumnVector.offsets[adjustedIndex];
                final int size = (int) mapColumnVector.lengths[adjustedIndex];
                final Map map = new HashMap();
                for (int i = 0; i < size; i++) {
                    final Object key = extractRowColumn(mapColumnVector.keys, mapTypeInfo.getMapKeyTypeInfo(), mapObjectInspector.getMapKeyObjectInspector(), offset + i);
                    final Object value = extractRowColumn(mapColumnVector.values, mapTypeInfo.getMapValueTypeInfo(), mapObjectInspector.getMapValueObjectInspector(), offset + i);
                    map.put(key, value);
                }
                return map;
            }
        case STRUCT:
            {
                final StructColumnVector structColumnVector = (StructColumnVector) colVector;
                final StructTypeInfo structTypeInfo = (StructTypeInfo) typeInfo;
                final StandardStructObjectInspector structInspector = (StandardStructObjectInspector) objectInspector;
                final List<TypeInfo> fieldTypeInfos = structTypeInfo.getAllStructFieldTypeInfos();
                final int size = fieldTypeInfos.size();
                final List<? extends StructField> structFields = structInspector.getAllStructFieldRefs();
                final Object struct = structInspector.create();
                for (int i = 0; i < size; i++) {
                    final StructField structField = structFields.get(i);
                    final TypeInfo fieldTypeInfo = fieldTypeInfos.get(i);
                    final Object value = extractRowColumn(structColumnVector.fields[i], fieldTypeInfo, structField.getFieldObjectInspector(), adjustedIndex);
                    structInspector.setStructFieldData(struct, structField, value);
                }
                return struct;
            }
        case UNION:
            {
                final UnionTypeInfo unionTypeInfo = (UnionTypeInfo) typeInfo;
                final List<TypeInfo> objectTypeInfos = unionTypeInfo.getAllUnionObjectTypeInfos();
                final UnionObjectInspector unionInspector = (UnionObjectInspector) objectInspector;
                final List<ObjectInspector> unionInspectors = unionInspector.getObjectInspectors();
                final UnionColumnVector unionColumnVector = (UnionColumnVector) colVector;
                final byte tag = (byte) unionColumnVector.tags[adjustedIndex];
                final Object object = extractRowColumn(unionColumnVector.fields[tag], objectTypeInfos.get(tag), unionInspectors.get(tag), adjustedIndex);
                final StandardUnion standardUnion = new StandardUnion();
                standardUnion.setTag(tag);
                standardUnion.setObject(object);
                return standardUnion;
            }
        default:
            throw new RuntimeException("Category " + category.name() + " not supported");
    }
}

Example 67 with PrimitiveTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo in project hive by apache.

the class VectorHashKeyWrapper method stringifyKeys.

/*
   * This method is mainly intended for debug display purposes.
   */
public String stringifyKeys(VectorColumnSetInfo columnSetInfo) {
    StringBuilder sb = new StringBuilder();
    boolean isFirstKey = true;
    if (longValues.length > 0) {
        isFirstKey = false;
        sb.append("longs ");
        boolean isFirstValue = true;
        for (int i = 0; i < columnSetInfo.longIndices.length; i++) {
            if (isFirstValue) {
                isFirstValue = false;
            } else {
                sb.append(", ");
            }
            int keyIndex = columnSetInfo.longIndices[i];
            if (isNull[keyIndex]) {
                sb.append("null");
            } else {
                sb.append(longValues[i]);
                PrimitiveTypeInfo primitiveTypeInfo = (PrimitiveTypeInfo) columnSetInfo.typeInfos[keyIndex];
                // FUTURE: Add INTERVAL_YEAR_MONTH, etc, as desired.
                switch(primitiveTypeInfo.getPrimitiveCategory()) {
                    case DATE:
                        {
                            Date dt = new Date(0);
                            dt.setTime(DateWritable.daysToMillis((int) longValues[i]));
                            sb.append(" date ");
                            sb.append(dt.toString());
                        }
                        break;
                    default:
                        // Add nothing more.
                        break;
                }
            }
        }
    }
    if (doubleValues.length > 0) {
        if (isFirstKey) {
            isFirstKey = false;
        } else {
            sb.append(", ");
        }
        sb.append("doubles ");
        boolean isFirstValue = true;
        for (int i = 0; i < columnSetInfo.doubleIndices.length; i++) {
            if (isFirstValue) {
                isFirstValue = false;
            } else {
                sb.append(", ");
            }
            int keyIndex = columnSetInfo.doubleIndices[i];
            if (isNull[keyIndex]) {
                sb.append("null");
            } else {
                sb.append(doubleValues[i]);
            }
        }
    }
    if (byteValues.length > 0) {
        if (isFirstKey) {
            isFirstKey = false;
        } else {
            sb.append(", ");
        }
        sb.append("byte lengths ");
        boolean isFirstValue = true;
        for (int i = 0; i < columnSetInfo.stringIndices.length; i++) {
            if (isFirstValue) {
                isFirstValue = false;
            } else {
                sb.append(", ");
            }
            int keyIndex = columnSetInfo.stringIndices[i];
            if (isNull[keyIndex]) {
                sb.append("null");
            } else {
                sb.append(byteLengths[i]);
            }
        }
    }
    if (decimalValues.length > 0) {
        if (isFirstKey) {
            isFirstKey = true;
        } else {
            sb.append(", ");
        }
        sb.append("decimals ");
        boolean isFirstValue = true;
        for (int i = 0; i < columnSetInfo.decimalIndices.length; i++) {
            if (isFirstValue) {
                isFirstValue = false;
            } else {
                sb.append(", ");
            }
            int keyIndex = columnSetInfo.decimalIndices[i];
            if (isNull[keyIndex]) {
                sb.append("null");
            } else {
                sb.append(decimalValues[i]);
            }
        }
    }
    if (timestampValues.length > 0) {
        if (isFirstKey) {
            isFirstKey = false;
        } else {
            sb.append(", ");
        }
        sb.append("timestamps ");
        boolean isFirstValue = true;
        for (int i = 0; i < columnSetInfo.timestampIndices.length; i++) {
            if (isFirstValue) {
                isFirstValue = false;
            } else {
                sb.append(", ");
            }
            int keyIndex = columnSetInfo.timestampIndices[i];
            if (isNull[keyIndex]) {
                sb.append("null");
            } else {
                sb.append(timestampValues[i]);
            }
        }
    }
    if (intervalDayTimeValues.length > 0) {
        if (isFirstKey) {
            isFirstKey = false;
        } else {
            sb.append(", ");
        }
        sb.append("interval day times ");
        boolean isFirstValue = true;
        for (int i = 0; i < columnSetInfo.intervalDayTimeIndices.length; i++) {
            if (isFirstValue) {
                isFirstValue = false;
            } else {
                sb.append(", ");
            }
            int keyIndex = columnSetInfo.intervalDayTimeIndices[i];
            if (isNull[keyIndex]) {
                sb.append("null");
            } else {
                sb.append(intervalDayTimeValues[i]);
            }
        }
    }
    return sb.toString();
}

Example 68 with PrimitiveTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo in project hive by apache.

the class VectorizationContext method getGenericUDFForCast.

private GenericUDF getGenericUDFForCast(TypeInfo castType) throws HiveException {
    UDF udfClass = null;
    GenericUDF genericUdf = null;
    switch(((PrimitiveTypeInfo) castType).getPrimitiveCategory()) {
        case BYTE:
            udfClass = new UDFToByte();
            break;
        case SHORT:
            udfClass = new UDFToShort();
            break;
        case INT:
            udfClass = new UDFToInteger();
            break;
        case LONG:
            udfClass = new UDFToLong();
            break;
        case FLOAT:
            udfClass = new UDFToFloat();
            break;
        case DOUBLE:
            udfClass = new UDFToDouble();
            break;
        case STRING:
            udfClass = new UDFToString();
            break;
        case CHAR:
            genericUdf = new GenericUDFToChar();
            break;
        case VARCHAR:
            genericUdf = new GenericUDFToVarchar();
            break;
        case BOOLEAN:
            udfClass = new UDFToBoolean();
            break;
        case DATE:
            genericUdf = new GenericUDFToDate();
            break;
        case TIMESTAMP:
            genericUdf = new GenericUDFTimestamp();
            break;
        case INTERVAL_YEAR_MONTH:
            genericUdf = new GenericUDFToIntervalYearMonth();
            break;
        case INTERVAL_DAY_TIME:
            genericUdf = new GenericUDFToIntervalDayTime();
            break;
        case BINARY:
            genericUdf = new GenericUDFToBinary();
            break;
        case DECIMAL:
            genericUdf = new GenericUDFToDecimal();
            break;
        case VOID:
        case UNKNOWN:
            // fall-through to throw exception, its not expected for execution to reach here.
            break;
    }
    if (genericUdf == null) {
        if (udfClass == null) {
            throw new HiveException("Could not add implicit cast for type " + castType.getTypeName());
        }
        genericUdf = new GenericUDFBridge();
        ((GenericUDFBridge) genericUdf).setUdfClassName(udfClass.getClass().getName());
    }
    if (genericUdf instanceof SettableUDF) {
        ((SettableUDF) genericUdf).setTypeInfo(castType);
    }
    return genericUdf;
}

Example 69 with PrimitiveTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo in project hive by apache.

the class VectorizationContext method getStructInExpression.

private VectorExpression getStructInExpression(List<ExprNodeDesc> childExpr, ExprNodeDesc colExpr, TypeInfo colTypeInfo, List<ExprNodeDesc> inChildren, VectorExpressionDescriptor.Mode mode, TypeInfo returnType) throws HiveException {
    VectorExpression expr = null;
    StructTypeInfo structTypeInfo = (StructTypeInfo) colTypeInfo;
    ArrayList<TypeInfo> fieldTypeInfos = structTypeInfo.getAllStructFieldTypeInfos();
    final int fieldCount = fieldTypeInfos.size();
    ColumnVector.Type[] fieldVectorColumnTypes = new ColumnVector.Type[fieldCount];
    InConstantType[] fieldInConstantTypes = new InConstantType[fieldCount];
    for (int f = 0; f < fieldCount; f++) {
        TypeInfo fieldTypeInfo = fieldTypeInfos.get(f);
        // Only primitive fields supports for now.
        if (fieldTypeInfo.getCategory() != Category.PRIMITIVE) {
            return null;
        }
        // We are going to serialize using the 4 basic types.
        ColumnVector.Type fieldVectorColumnType = getColumnVectorTypeFromTypeInfo(fieldTypeInfo);
        fieldVectorColumnTypes[f] = fieldVectorColumnType;
        // We currently evaluate the IN (..) constants in special ways.
        PrimitiveCategory fieldPrimitiveCategory = ((PrimitiveTypeInfo) fieldTypeInfo).getPrimitiveCategory();
        InConstantType inConstantType = getInConstantTypeFromPrimitiveCategory(fieldPrimitiveCategory);
        fieldInConstantTypes[f] = inConstantType;
    }
    Output buffer = new Output();
    BinarySortableSerializeWrite binarySortableSerializeWrite = new BinarySortableSerializeWrite(fieldCount);
    final int inChildrenCount = inChildren.size();
    byte[][] serializedInChildren = new byte[inChildrenCount][];
    try {
        for (int i = 0; i < inChildrenCount; i++) {
            final ExprNodeDesc node = inChildren.get(i);
            final Object[] constants;
            if (node instanceof ExprNodeConstantDesc) {
                ExprNodeConstantDesc constNode = (ExprNodeConstantDesc) node;
                ConstantObjectInspector output = constNode.getWritableObjectInspector();
                constants = ((List<?>) output.getWritableConstantValue()).toArray();
            } else {
                ExprNodeGenericFuncDesc exprNode = (ExprNodeGenericFuncDesc) node;
                ExprNodeEvaluator<?> evaluator = ExprNodeEvaluatorFactory.get(exprNode);
                ObjectInspector output = evaluator.initialize(exprNode.getWritableObjectInspector());
                constants = (Object[]) evaluator.evaluate(null);
            }
            binarySortableSerializeWrite.set(buffer);
            for (int f = 0; f < fieldCount; f++) {
                Object constant = constants[f];
                if (constant == null) {
                    binarySortableSerializeWrite.writeNull();
                } else {
                    InConstantType inConstantType = fieldInConstantTypes[f];
                    switch(inConstantType) {
                        case STRING_FAMILY:
                            {
                                byte[] bytes;
                                if (constant instanceof Text) {
                                    Text text = (Text) constant;
                                    bytes = text.getBytes();
                                    binarySortableSerializeWrite.writeString(bytes, 0, text.getLength());
                                } else {
                                    throw new HiveException("Unexpected constant String type " + constant.getClass().getSimpleName());
                                }
                            }
                            break;
                        case INT_FAMILY:
                            {
                                long value;
                                if (constant instanceof IntWritable) {
                                    value = ((IntWritable) constant).get();
                                } else if (constant instanceof LongWritable) {
                                    value = ((LongWritable) constant).get();
                                } else {
                                    throw new HiveException("Unexpected constant Long type " + constant.getClass().getSimpleName());
                                }
                                binarySortableSerializeWrite.writeLong(value);
                            }
                            break;
                        case FLOAT_FAMILY:
                            {
                                double value;
                                if (constant instanceof DoubleWritable) {
                                    value = ((DoubleWritable) constant).get();
                                } else {
                                    throw new HiveException("Unexpected constant Double type " + constant.getClass().getSimpleName());
                                }
                                binarySortableSerializeWrite.writeDouble(value);
                            }
                            break;
                        // UNDONE...
                        case DATE:
                        case TIMESTAMP:
                        case DECIMAL:
                        default:
                            throw new RuntimeException("Unexpected IN constant type " + inConstantType.name());
                    }
                }
            }
            serializedInChildren[i] = Arrays.copyOfRange(buffer.getData(), 0, buffer.getLength());
        }
    } catch (Exception e) {
        throw new HiveException(e);
    }
    // Create a single child representing the scratch column where we will
    // generate the serialized keys of the batch.
    int scratchBytesCol = ocm.allocateOutputColumn(TypeInfoFactory.stringTypeInfo);
    Class<?> cl = (mode == VectorExpressionDescriptor.Mode.FILTER ? FilterStructColumnInList.class : StructColumnInList.class);
    expr = createVectorExpression(cl, null, VectorExpressionDescriptor.Mode.PROJECTION, returnType);
    ((IStringInExpr) expr).setInListValues(serializedInChildren);
    ((IStructInExpr) expr).setScratchBytesColumn(scratchBytesCol);
    ((IStructInExpr) expr).setStructColumnExprs(this, colExpr.getChildren(), fieldVectorColumnTypes);
    return expr;
}

Example 70 with PrimitiveTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo in project hive by apache.

the class VectorizationContext method castConstantToLong.

private Long castConstantToLong(Object scalar, TypeInfo type, PrimitiveCategory integerPrimitiveCategory) throws HiveException {
    if (null == scalar) {
        return null;
    }
    PrimitiveTypeInfo ptinfo = (PrimitiveTypeInfo) type;
    String typename = type.getTypeName();
    switch(ptinfo.getPrimitiveCategory()) {
        case FLOAT:
        case DOUBLE:
        case BYTE:
        case SHORT:
        case INT:
        case LONG:
            return ((Number) scalar).longValue();
        case DECIMAL:
            HiveDecimal decimalVal = (HiveDecimal) scalar;
            switch(integerPrimitiveCategory) {
                case BYTE:
                    if (!decimalVal.isByte()) {
                        // Accurate byte value cannot be obtained.
                        return null;
                    }
                    break;
                case SHORT:
                    if (!decimalVal.isShort()) {
                        // Accurate short value cannot be obtained.
                        return null;
                    }
                    break;
                case INT:
                    if (!decimalVal.isInt()) {
                        // Accurate int value cannot be obtained.
                        return null;
                    }
                    break;
                case LONG:
                    if (!decimalVal.isLong()) {
                        // Accurate long value cannot be obtained.
                        return null;
                    }
                    break;
                default:
                    throw new RuntimeException("Unexpected integer primitive type " + integerPrimitiveCategory);
            }
            // We only store longs in our LongColumnVector.
            return decimalVal.longValue();
        default:
            throw new HiveException("Unsupported type " + typename + " for cast to Long");
    }
}