Examples with InternalTypeInfo org.apache.flink.table.runtime.typeutils.InternalTypeInfo used on opensource projects

Example 6 with InternalTypeInfo

use of org.apache.flink.table.runtime.typeutils.InternalTypeInfo 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 7 with InternalTypeInfo

use of org.apache.flink.table.runtime.typeutils.InternalTypeInfo in project flink by apache.

the class CommonExecPythonCorrelate method createPythonOneInputTransformation.

private OneInputTransformation<RowData, RowData> createPythonOneInputTransformation(Transformation<RowData> inputTransform, ExecNodeConfig config, Configuration pythonConfig) {
    Tuple2<int[], PythonFunctionInfo> extractResult = extractPythonTableFunctionInfo();
    int[] pythonUdtfInputOffsets = extractResult.f0;
    PythonFunctionInfo pythonFunctionInfo = extractResult.f1;
    InternalTypeInfo<RowData> pythonOperatorInputRowType = (InternalTypeInfo<RowData>) inputTransform.getOutputType();
    InternalTypeInfo<RowData> pythonOperatorOutputRowType = InternalTypeInfo.of((RowType) getOutputType());
    OneInputStreamOperator<RowData, RowData> pythonOperator = getPythonTableFunctionOperator(config, pythonConfig, pythonOperatorInputRowType, pythonOperatorOutputRowType, pythonFunctionInfo, pythonUdtfInputOffsets);
    return ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationName(config), createTransformationDescription(config), pythonOperator, pythonOperatorOutputRowType, inputTransform.getParallelism());
}

Example 8 with InternalTypeInfo

use of org.apache.flink.table.runtime.typeutils.InternalTypeInfo in project flink by apache.

the class StreamExecChangelogNormalize method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final InternalTypeInfo<RowData> rowTypeInfo = (InternalTypeInfo<RowData>) inputTransform.getOutputType();
    final OneInputStreamOperator<RowData, RowData> operator;
    final long stateIdleTime = config.getStateRetentionTime();
    final boolean isMiniBatchEnabled = config.get(ExecutionConfigOptions.TABLE_EXEC_MINIBATCH_ENABLED);
    GeneratedRecordEqualiser generatedEqualiser = new EqualiserCodeGenerator(rowTypeInfo.toRowType()).generateRecordEqualiser("DeduplicateRowEqualiser");
    if (isMiniBatchEnabled) {
        TypeSerializer<RowData> rowSerializer = rowTypeInfo.createSerializer(planner.getExecEnv().getConfig());
        ProcTimeMiniBatchDeduplicateKeepLastRowFunction processFunction = new ProcTimeMiniBatchDeduplicateKeepLastRowFunction(rowTypeInfo, rowSerializer, stateIdleTime, generateUpdateBefore, // generateInsert
        true, // inputInsertOnly
        false, generatedEqualiser);
        CountBundleTrigger<RowData> trigger = AggregateUtil.createMiniBatchTrigger(config);
        operator = new KeyedMapBundleOperator<>(processFunction, trigger);
    } else {
        ProcTimeDeduplicateKeepLastRowFunction processFunction = new ProcTimeDeduplicateKeepLastRowFunction(rowTypeInfo, stateIdleTime, generateUpdateBefore, // generateInsert
        true, // inputInsertOnly
        false, generatedEqualiser);
        operator = new KeyedProcessOperator<>(processFunction);
    }
    final OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(CHANGELOG_NORMALIZE_TRANSFORMATION, config), operator, rowTypeInfo, inputTransform.getParallelism());
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(uniqueKeys, rowTypeInfo);
    transform.setStateKeySelector(selector);
    transform.setStateKeyType(selector.getProducedType());
    return transform;
}