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

Example 31 with UnionTypeInfo

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

the class VerifyFast method serializeWrite.

public static void serializeWrite(SerializeWrite serializeWrite, TypeInfo typeInfo, Object object) throws IOException {
    if (object == null) {
        serializeWrite.writeNull();
        return;
    }
    switch(typeInfo.getCategory()) {
        case PRIMITIVE:
            {
                PrimitiveTypeInfo primitiveTypeInfo = (PrimitiveTypeInfo) typeInfo;
                switch(primitiveTypeInfo.getPrimitiveCategory()) {
                    case BOOLEAN:
                        {
                            boolean value = ((BooleanWritable) object).get();
                            serializeWrite.writeBoolean(value);
                        }
                        break;
                    case BYTE:
                        {
                            byte value = ((ByteWritable) object).get();
                            serializeWrite.writeByte(value);
                        }
                        break;
                    case SHORT:
                        {
                            short value = ((ShortWritable) object).get();
                            serializeWrite.writeShort(value);
                        }
                        break;
                    case INT:
                        {
                            int value = ((IntWritable) object).get();
                            serializeWrite.writeInt(value);
                        }
                        break;
                    case LONG:
                        {
                            long value = ((LongWritable) object).get();
                            serializeWrite.writeLong(value);
                        }
                        break;
                    case FLOAT:
                        {
                            float value = ((FloatWritable) object).get();
                            serializeWrite.writeFloat(value);
                        }
                        break;
                    case DOUBLE:
                        {
                            double value = ((DoubleWritable) object).get();
                            serializeWrite.writeDouble(value);
                        }
                        break;
                    case STRING:
                        {
                            Text value = (Text) object;
                            byte[] stringBytes = value.getBytes();
                            int stringLength = stringBytes.length;
                            serializeWrite.writeString(stringBytes, 0, stringLength);
                        }
                        break;
                    case CHAR:
                        {
                            HiveChar value = ((HiveCharWritable) object).getHiveChar();
                            serializeWrite.writeHiveChar(value);
                        }
                        break;
                    case VARCHAR:
                        {
                            HiveVarchar value = ((HiveVarcharWritable) object).getHiveVarchar();
                            serializeWrite.writeHiveVarchar(value);
                        }
                        break;
                    case DECIMAL:
                        {
                            HiveDecimal value = ((HiveDecimalWritable) object).getHiveDecimal();
                            DecimalTypeInfo decTypeInfo = (DecimalTypeInfo) primitiveTypeInfo;
                            serializeWrite.writeHiveDecimal(value, decTypeInfo.scale());
                        }
                        break;
                    case DATE:
                        {
                            Date value = ((DateWritableV2) object).get();
                            serializeWrite.writeDate(value);
                        }
                        break;
                    case TIMESTAMP:
                        {
                            Timestamp value = ((TimestampWritableV2) object).getTimestamp();
                            serializeWrite.writeTimestamp(value);
                        }
                        break;
                    case INTERVAL_YEAR_MONTH:
                        {
                            HiveIntervalYearMonth value = ((HiveIntervalYearMonthWritable) object).getHiveIntervalYearMonth();
                            serializeWrite.writeHiveIntervalYearMonth(value);
                        }
                        break;
                    case INTERVAL_DAY_TIME:
                        {
                            HiveIntervalDayTime value = ((HiveIntervalDayTimeWritable) object).getHiveIntervalDayTime();
                            serializeWrite.writeHiveIntervalDayTime(value);
                        }
                        break;
                    case BINARY:
                        {
                            BytesWritable byteWritable = (BytesWritable) object;
                            byte[] binaryBytes = byteWritable.getBytes();
                            int length = byteWritable.getLength();
                            serializeWrite.writeBinary(binaryBytes, 0, length);
                        }
                        break;
                    default:
                        throw new Error("Unknown primitive category " + primitiveTypeInfo.getPrimitiveCategory().name());
                }
            }
            break;
        case LIST:
            {
                ListTypeInfo listTypeInfo = (ListTypeInfo) typeInfo;
                TypeInfo elementTypeInfo = listTypeInfo.getListElementTypeInfo();
                ArrayList<Object> elements = (ArrayList<Object>) object;
                serializeWrite.beginList(elements);
                boolean isFirst = true;
                for (Object elementObject : elements) {
                    if (isFirst) {
                        isFirst = false;
                    } else {
                        serializeWrite.separateList();
                    }
                    if (elementObject == null) {
                        serializeWrite.writeNull();
                    } else {
                        serializeWrite(serializeWrite, elementTypeInfo, elementObject);
                    }
                }
                serializeWrite.finishList();
            }
            break;
        case MAP:
            {
                MapTypeInfo mapTypeInfo = (MapTypeInfo) typeInfo;
                TypeInfo keyTypeInfo = mapTypeInfo.getMapKeyTypeInfo();
                TypeInfo valueTypeInfo = mapTypeInfo.getMapValueTypeInfo();
                HashMap<Object, Object> hashMap = (HashMap<Object, Object>) object;
                serializeWrite.beginMap(hashMap);
                boolean isFirst = true;
                for (Entry<Object, Object> entry : hashMap.entrySet()) {
                    if (isFirst) {
                        isFirst = false;
                    } else {
                        serializeWrite.separateKeyValuePair();
                    }
                    if (entry.getKey() == null) {
                        serializeWrite.writeNull();
                    } else {
                        serializeWrite(serializeWrite, keyTypeInfo, entry.getKey());
                    }
                    serializeWrite.separateKey();
                    if (entry.getValue() == null) {
                        serializeWrite.writeNull();
                    } else {
                        serializeWrite(serializeWrite, valueTypeInfo, entry.getValue());
                    }
                }
                serializeWrite.finishMap();
            }
            break;
        case STRUCT:
            {
                StructTypeInfo structTypeInfo = (StructTypeInfo) typeInfo;
                List<TypeInfo> fieldTypeInfos = structTypeInfo.getAllStructFieldTypeInfos();
                List<Object> fieldValues = (List<Object>) object;
                final int size = fieldValues.size();
                serializeWrite.beginStruct(fieldValues);
                boolean isFirst = true;
                for (int i = 0; i < size; i++) {
                    if (isFirst) {
                        isFirst = false;
                    } else {
                        serializeWrite.separateStruct();
                    }
                    serializeWrite(serializeWrite, fieldTypeInfos.get(i), fieldValues.get(i));
                }
                serializeWrite.finishStruct();
            }
            break;
        case UNION:
            {
                UnionTypeInfo unionTypeInfo = (UnionTypeInfo) typeInfo;
                List<TypeInfo> fieldTypeInfos = unionTypeInfo.getAllUnionObjectTypeInfos();
                final int size = fieldTypeInfos.size();
                StandardUnion standardUnion = (StandardUnion) object;
                byte tag = standardUnion.getTag();
                serializeWrite.beginUnion(tag);
                serializeWrite(serializeWrite, fieldTypeInfos.get(tag), standardUnion.getObject());
                serializeWrite.finishUnion();
            }
            break;
        default:
            throw new Error("Unknown category " + typeInfo.getCategory().name());
    }
}

Example 32 with UnionTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo in project incubator-gobblin by apache.

the class TypeInfoToSchemaParser method parseSchemaFromUnion.

private Schema parseSchemaFromUnion(UnionTypeInfo typeInfo, String recordNamespace, String recordName) {
    List<TypeInfo> typeInfos = typeInfo.getAllUnionObjectTypeInfos();
    List<Schema> schemas = new ArrayList();
    Schema candidate;
    for (Iterator var6 = typeInfos.iterator(); var6.hasNext(); schemas.add(isNullableType(candidate) ? getOtherTypeFromNullableType(candidate) : candidate)) {
        TypeInfo ti = (TypeInfo) var6.next();
        if (ti instanceof StructTypeInfo) {
            StructTypeInfo sti = (StructTypeInfo) ti;
            String newRecordName = recordName + this._recordCounter;
            ++this._recordCounter;
            candidate = this.parseSchemaFromStruct(sti, recordNamespace, newRecordName);
        } else {
            candidate = this.parseSchemaFromTypeInfo(ti, recordNamespace, recordName);
        }
    }
    return Schema.createUnion(schemas);
}