Examples with KeyValueDataType org.apache.flink.table.types.KeyValueDataType used on opensource projects

Example 1 with KeyValueDataType

use of org.apache.flink.table.types.KeyValueDataType in project flink by apache.

the class DataFormatConverters method getConverterForDataType.

/**
 * Get {@link DataFormatConverter} for {@link DataType}.
 *
 * @param originDataType DataFormatConverter is oriented to Java format, while LogicalType has
 *     lost its specific Java format. Only DataType retains all its Java format information.
 */
public static DataFormatConverter getConverterForDataType(DataType originDataType) {
    DataType dataType = originDataType.nullable();
    DataFormatConverter converter = TYPE_TO_CONVERTER.get(dataType);
    if (converter != null) {
        return converter;
    }
    Class<?> clazz = dataType.getConversionClass();
    LogicalType logicalType = dataType.getLogicalType();
    switch(logicalType.getTypeRoot()) {
        case CHAR:
        case VARCHAR:
            if (clazz == String.class) {
                return StringConverter.INSTANCE;
            } else if (clazz == StringData.class) {
                return StringDataConverter.INSTANCE;
            } else {
                throw new RuntimeException("Not support class for VARCHAR: " + clazz);
            }
        case BINARY:
        case VARBINARY:
            return PrimitiveByteArrayConverter.INSTANCE;
        case DECIMAL:
            Tuple2<Integer, Integer> ps = getPrecision(logicalType);
            if (clazz == BigDecimal.class) {
                return new BigDecimalConverter(ps.f0, ps.f1);
            } else if (clazz == DecimalData.class) {
                return new DecimalDataConverter(ps.f0, ps.f1);
            } else {
                throw new RuntimeException("Not support conversion class for DECIMAL: " + clazz);
            }
        case TIMESTAMP_WITHOUT_TIME_ZONE:
            int precisionOfTS = getDateTimePrecision(logicalType);
            if (clazz == Timestamp.class) {
                return new TimestampConverter(precisionOfTS);
            } else if (clazz == LocalDateTime.class) {
                return new LocalDateTimeConverter(precisionOfTS);
            } else if (clazz == TimestampData.class) {
                return new TimestampDataConverter(precisionOfTS);
            } else {
                throw new RuntimeException("Not support conversion class for TIMESTAMP WITHOUT TIME ZONE: " + clazz);
            }
        case TIMESTAMP_WITH_LOCAL_TIME_ZONE:
            int precisionOfLZTS = getDateTimePrecision(logicalType);
            if (clazz == Instant.class) {
                return new InstantConverter(precisionOfLZTS);
            } else if (clazz == Long.class || clazz == long.class) {
                return new LongTimestampDataConverter(precisionOfLZTS);
            } else if (clazz == TimestampData.class) {
                return new TimestampDataConverter(precisionOfLZTS);
            } else if (clazz == Timestamp.class) {
                return new TimestampLtzConverter(precisionOfLZTS);
            } else {
                throw new RuntimeException("Not support conversion class for TIMESTAMP WITH LOCAL TIME ZONE: " + clazz);
            }
        case ARRAY:
            if (clazz == ArrayData.class) {
                return ArrayDataConverter.INSTANCE;
            } else if (clazz == boolean[].class) {
                return PrimitiveBooleanArrayConverter.INSTANCE;
            } else if (clazz == short[].class) {
                return PrimitiveShortArrayConverter.INSTANCE;
            } else if (clazz == int[].class) {
                return PrimitiveIntArrayConverter.INSTANCE;
            } else if (clazz == long[].class) {
                return PrimitiveLongArrayConverter.INSTANCE;
            } else if (clazz == float[].class) {
                return PrimitiveFloatArrayConverter.INSTANCE;
            } else if (clazz == double[].class) {
                return PrimitiveDoubleArrayConverter.INSTANCE;
            }
            if (dataType instanceof CollectionDataType) {
                return new ObjectArrayConverter(((CollectionDataType) dataType).getElementDataType().bridgedTo(clazz.getComponentType()));
            } else {
                BasicArrayTypeInfo typeInfo = (BasicArrayTypeInfo) ((LegacyTypeInformationType) dataType.getLogicalType()).getTypeInformation();
                return new ObjectArrayConverter(fromLegacyInfoToDataType(typeInfo.getComponentInfo()).bridgedTo(clazz.getComponentType()));
            }
        case MAP:
            if (clazz == MapData.class) {
                return MapDataConverter.INSTANCE;
            }
            KeyValueDataType keyValueDataType = (KeyValueDataType) dataType;
            return new MapConverter(keyValueDataType.getKeyDataType(), keyValueDataType.getValueDataType());
        case MULTISET:
            if (clazz == MapData.class) {
                return MapDataConverter.INSTANCE;
            }
            CollectionDataType collectionDataType = (CollectionDataType) dataType;
            return new MapConverter(collectionDataType.getElementDataType(), DataTypes.INT().bridgedTo(Integer.class));
        case ROW:
        case STRUCTURED_TYPE:
            TypeInformation<?> asTypeInfo = fromDataTypeToTypeInfo(dataType);
            if (asTypeInfo instanceof InternalTypeInfo && clazz == RowData.class) {
                LogicalType realLogicalType = ((InternalTypeInfo<?>) asTypeInfo).toLogicalType();
                return new RowDataConverter(getFieldCount(realLogicalType));
            }
            // legacy
            CompositeType compositeType = (CompositeType) asTypeInfo;
            DataType[] fieldTypes = Stream.iterate(0, x -> x + 1).limit(compositeType.getArity()).map((Function<Integer, TypeInformation>) compositeType::getTypeAt).map(TypeConversions::fromLegacyInfoToDataType).toArray(DataType[]::new);
            if (clazz == RowData.class) {
                return new RowDataConverter(compositeType.getArity());
            } else if (clazz == Row.class) {
                return new RowConverter(fieldTypes);
            } else if (Tuple.class.isAssignableFrom(clazz)) {
                return new TupleConverter((Class<Tuple>) clazz, fieldTypes);
            } else if (CaseClassConverter.PRODUCT_CLASS != null && CaseClassConverter.PRODUCT_CLASS.isAssignableFrom(clazz)) {
                return new CaseClassConverter((TupleTypeInfoBase) compositeType, fieldTypes);
            } else if (compositeType instanceof PojoTypeInfo) {
                return new PojoConverter((PojoTypeInfo) compositeType, fieldTypes);
            } else {
                throw new IllegalStateException("Cannot find a converter for type " + compositeType + ". If the target should be a converter to scala.Product, then you might have a scala classpath issue.");
            }
        case RAW:
            if (logicalType instanceof RawType) {
                final RawType<?> rawType = (RawType<?>) logicalType;
                if (clazz == RawValueData.class) {
                    return RawValueDataConverter.INSTANCE;
                } else {
                    return new GenericConverter<>(rawType.getTypeSerializer());
                }
            }
            // legacy
            TypeInformation typeInfo = logicalType instanceof LegacyTypeInformationType ? ((LegacyTypeInformationType) logicalType).getTypeInformation() : ((TypeInformationRawType) logicalType).getTypeInformation();
            // planner type info
            if (typeInfo instanceof StringDataTypeInfo) {
                return StringDataConverter.INSTANCE;
            } else if (typeInfo instanceof DecimalDataTypeInfo) {
                DecimalDataTypeInfo decimalType = (DecimalDataTypeInfo) typeInfo;
                return new DecimalDataConverter(decimalType.precision(), decimalType.scale());
            } else if (typeInfo instanceof BigDecimalTypeInfo) {
                BigDecimalTypeInfo decimalType = (BigDecimalTypeInfo) typeInfo;
                return new BigDecimalConverter(decimalType.precision(), decimalType.scale());
            } else if (typeInfo instanceof TimestampDataTypeInfo) {
                TimestampDataTypeInfo timestampDataTypeInfo = (TimestampDataTypeInfo) typeInfo;
                return new TimestampDataConverter(timestampDataTypeInfo.getPrecision());
            } else if (typeInfo instanceof LegacyLocalDateTimeTypeInfo) {
                LegacyLocalDateTimeTypeInfo dateTimeType = (LegacyLocalDateTimeTypeInfo) typeInfo;
                return new LocalDateTimeConverter(dateTimeType.getPrecision());
            } else if (typeInfo instanceof LegacyTimestampTypeInfo) {
                LegacyTimestampTypeInfo timestampType = (LegacyTimestampTypeInfo) typeInfo;
                return new TimestampConverter(timestampType.getPrecision());
            } else if (typeInfo instanceof LegacyInstantTypeInfo) {
                LegacyInstantTypeInfo instantTypeInfo = (LegacyInstantTypeInfo) typeInfo;
                return new InstantConverter(instantTypeInfo.getPrecision());
            }
            if (clazz == RawValueData.class) {
                return RawValueDataConverter.INSTANCE;
            }
            return new GenericConverter(typeInfo.createSerializer(new ExecutionConfig()));
        default:
            throw new RuntimeException("Not support dataType: " + dataType);
    }
}

Example 2 with KeyValueDataType

use of org.apache.flink.table.types.KeyValueDataType in project flink by apache.

the class LegacyTypeInfoDataTypeConverter method toLegacyTypeInfo.

public static TypeInformation<?> toLegacyTypeInfo(DataType dataType) {
    // time indicators first as their hashCode/equals is shared with those of regular timestamps
    if (canConvertToTimeAttributeTypeInfo(dataType)) {
        return convertToTimeAttributeTypeInfo(dataType.getLogicalType());
    }
    // check in the map but relax the nullability constraint as every not null data type can be
    // stored in the corresponding nullable type information
    final TypeInformation<?> foundTypeInfo = dataTypeTypeInfoMap.get(dataType.nullable().bridgedTo(primitiveToWrapper(dataType.getConversionClass())));
    if (foundTypeInfo != null) {
        return foundTypeInfo;
    }
    // we are relaxing the constraint for DECIMAL, CHAR, VARCHAR, TIMESTAMP_WITHOUT_TIME_ZONE to
    // support value literals in legacy planner
    LogicalType logicalType = dataType.getLogicalType();
    if (logicalType.is(DECIMAL)) {
        return Types.BIG_DEC;
    } else if (logicalType.is(CHAR)) {
        return Types.STRING;
    } else if (logicalType.is(VARCHAR)) {
        return Types.STRING;
    } else // relax the precision constraint as Timestamp can store the highest precision
    if (logicalType.is(TIMESTAMP_WITHOUT_TIME_ZONE) && dataType.getConversionClass() == Timestamp.class) {
        return Types.SQL_TIMESTAMP;
    } else // relax the precision constraint as LocalDateTime can store the highest precision
    if (logicalType.is(TIMESTAMP_WITHOUT_TIME_ZONE) && dataType.getConversionClass() == LocalDateTime.class) {
        return Types.LOCAL_DATE_TIME;
    } else // convert proctime back
    if (logicalType.is(TIMESTAMP_WITH_LOCAL_TIME_ZONE) && dataType.getConversionClass() == Timestamp.class) {
        return Types.SQL_TIMESTAMP;
    } else // relax the precision constraint as LocalTime can store the highest precision
    if (logicalType.is(TIME_WITHOUT_TIME_ZONE) && dataType.getConversionClass() == LocalTime.class) {
        return Types.LOCAL_TIME;
    } else if (canConvertToLegacyTypeInfo(dataType)) {
        return convertToLegacyTypeInfo(dataType);
    } else if (canConvertToRowTypeInfo(dataType)) {
        return convertToRowTypeInfo((FieldsDataType) dataType);
    } else // this could also match for basic array type info but this is covered by legacy type info
    if (canConvertToObjectArrayTypeInfo(dataType)) {
        return convertToObjectArrayTypeInfo((CollectionDataType) dataType);
    } else if (canConvertToMultisetTypeInfo(dataType)) {
        return convertToMultisetTypeInfo((CollectionDataType) dataType);
    } else if (canConvertToMapTypeInfo(dataType)) {
        return convertToMapTypeInfo((KeyValueDataType) dataType);
    } else // makes the raw type accessible in the legacy planner
    if (canConvertToRawTypeInfo(dataType)) {
        return convertToRawTypeInfo(dataType);
    }
    throw new TableException(String.format("Unsupported conversion from data type '%s' (conversion class: %s) to type information. Only data types " + "that originated from type information fully support a reverse conversion.", dataType, dataType.getConversionClass().getName()));
}

Example 3 with KeyValueDataType

use of org.apache.flink.table.types.KeyValueDataType in project flink by apache.

the class ValuesOperationFactory method convertMapToExpectedType.

private Optional<ResolvedExpression> convertMapToExpectedType(ResolvedExpression sourceExpression, KeyValueDataType targetDataType, ExpressionResolver.PostResolverFactory postResolverFactory) {
    DataType keyTargetDataType = targetDataType.getKeyDataType();
    DataType valueTargetDataType = targetDataType.getValueDataType();
    List<ResolvedExpression> resolvedChildren = sourceExpression.getResolvedChildren();
    ResolvedExpression[] castedChildren = new ResolvedExpression[resolvedChildren.size()];
    for (int i = 0; i < resolvedChildren.size(); i++) {
        Optional<ResolvedExpression> castedChild = convertToExpectedType(resolvedChildren.get(i), i % 2 == 0 ? keyTargetDataType : valueTargetDataType, postResolverFactory);
        if (castedChild.isPresent()) {
            castedChildren[i] = castedChild.get();
        } else {
            return Optional.empty();
        }
    }
    return Optional.of(postResolverFactory.map(targetDataType, castedChildren));
}

Example 4 with KeyValueDataType

use of org.apache.flink.table.types.KeyValueDataType in project flink by apache.

the class DataTypePrecisionFixer method visit.

@Override
public DataType visit(KeyValueDataType keyValueDataType) {
    DataType keyType = keyValueDataType.getKeyDataType();
    DataType valueType = keyValueDataType.getValueDataType();
    if (logicalType.getTypeRoot() == LogicalTypeRoot.MAP) {
        MapType mapType = (MapType) logicalType;
        DataType newKeyType = keyType.accept(new DataTypePrecisionFixer(mapType.getKeyType()));
        DataType newValueType = valueType.accept(new DataTypePrecisionFixer(mapType.getValueType()));
        return DataTypes.MAP(newKeyType, newValueType).bridgedTo(keyValueDataType.getConversionClass());
    }
    throw new UnsupportedOperationException("Unsupported logical type : " + logicalType);
}

Example 5 with KeyValueDataType

use of org.apache.flink.table.types.KeyValueDataType in project flink by apache.

the class DataTypes method MAP.

/**
 * Data type of an associative array that maps keys (including {@code NULL}) to values
 * (including {@code NULL}). A map cannot contain duplicate keys; each key can map to at most
 * one value.
 *
 * <p>There is no restriction of key types; it is the responsibility of the user to ensure
 * uniqueness. The map type is an extension to the SQL standard.
 *
 * @see MapType
 */
public static DataType MAP(DataType keyDataType, DataType valueDataType) {
    Preconditions.checkNotNull(keyDataType, "Key data type must not be null.");
    Preconditions.checkNotNull(valueDataType, "Value data type must not be null.");
    return new KeyValueDataType(new MapType(keyDataType.getLogicalType(), valueDataType.getLogicalType()), keyDataType, valueDataType);
}