Examples with TableException org.apache.flink.table.api.TableException used on opensource projects

Example 6 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class JsonToRowDataConverters method convertToTimestampWithLocalZone.

private TimestampData convertToTimestampWithLocalZone(JsonNode jsonNode) {
    TemporalAccessor parsedTimestampWithLocalZone;
    switch(timestampFormat) {
        case SQL:
            parsedTimestampWithLocalZone = SQL_TIMESTAMP_WITH_LOCAL_TIMEZONE_FORMAT.parse(jsonNode.asText());
            break;
        case ISO_8601:
            parsedTimestampWithLocalZone = ISO8601_TIMESTAMP_WITH_LOCAL_TIMEZONE_FORMAT.parse(jsonNode.asText());
            break;
        default:
            throw new TableException(String.format("Unsupported timestamp format '%s'. Validator should have checked that.", timestampFormat));
    }
    LocalTime localTime = parsedTimestampWithLocalZone.query(TemporalQueries.localTime());
    LocalDate localDate = parsedTimestampWithLocalZone.query(TemporalQueries.localDate());
    return TimestampData.fromInstant(LocalDateTime.of(localDate, localTime).toInstant(ZoneOffset.UTC));
}

Example 7 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamExecExchange method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final Transformation<RowData> inputTransform = (Transformation<RowData>) getInputEdges().get(0).translateToPlan(planner);
    final StreamPartitioner<RowData> partitioner;
    final int parallelism;
    final InputProperty inputProperty = getInputProperties().get(0);
    final InputProperty.DistributionType distributionType = inputProperty.getRequiredDistribution().getType();
    switch(distributionType) {
        case SINGLETON:
            partitioner = new GlobalPartitioner<>();
            parallelism = 1;
            break;
        case HASH:
            // TODO Eliminate duplicate keys
            int[] keys = ((HashDistribution) inputProperty.getRequiredDistribution()).getKeys();
            InternalTypeInfo<RowData> inputType = (InternalTypeInfo<RowData>) inputTransform.getOutputType();
            RowDataKeySelector keySelector = KeySelectorUtil.getRowDataSelector(keys, inputType);
            partitioner = new KeyGroupStreamPartitioner<>(keySelector, DEFAULT_LOWER_BOUND_MAX_PARALLELISM);
            parallelism = ExecutionConfig.PARALLELISM_DEFAULT;
            break;
        default:
            throw new TableException(String.format("%s is not supported now!", distributionType));
    }
    final Transformation<RowData> transformation = new PartitionTransformation<>(inputTransform, partitioner);
    createTransformationMeta(EXCHANGE_TRANSFORMATION, config).fill(transformation);
    transformation.setParallelism(parallelism);
    transformation.setOutputType(InternalTypeInfo.of(getOutputType()));
    return transformation;
}

Example 8 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamExecGlobalGroupAggregate method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    if (grouping.length > 0 && config.getStateRetentionTime() < 0) {
        LOG.warn("No state retention interval configured for a query which accumulates state. " + "Please provide a query configuration with valid retention interval to prevent excessive " + "state size. You may specify a retention time of 0 to not clean up the state.");
    }
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final RowType inputRowType = (RowType) inputEdge.getOutputType();
    final AggregateInfoList localAggInfoList = AggregateUtil.transformToStreamAggregateInfoList(localAggInputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), aggCallNeedRetractions, needRetraction, JavaScalaConversionUtil.toScala(Optional.ofNullable(indexOfCountStar)), // isStateBackendDataViews
    false, // needDistinctInfo
    true);
    final AggregateInfoList globalAggInfoList = AggregateUtil.transformToStreamAggregateInfoList(localAggInputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), aggCallNeedRetractions, needRetraction, JavaScalaConversionUtil.toScala(Optional.ofNullable(indexOfCountStar)), // isStateBackendDataViews
    true, // needDistinctInfo
    true);
    final GeneratedAggsHandleFunction localAggsHandler = generateAggsHandler("LocalGroupAggsHandler", localAggInfoList, grouping.length, localAggInfoList.getAccTypes(), config, planner.getRelBuilder());
    final GeneratedAggsHandleFunction globalAggsHandler = generateAggsHandler("GlobalGroupAggsHandler", globalAggInfoList, // mergedAccOffset
    0, localAggInfoList.getAccTypes(), config, planner.getRelBuilder());
    final int indexOfCountStar = globalAggInfoList.getIndexOfCountStar();
    final LogicalType[] globalAccTypes = Arrays.stream(globalAggInfoList.getAccTypes()).map(LogicalTypeDataTypeConverter::fromDataTypeToLogicalType).toArray(LogicalType[]::new);
    final LogicalType[] globalAggValueTypes = Arrays.stream(globalAggInfoList.getActualValueTypes()).map(LogicalTypeDataTypeConverter::fromDataTypeToLogicalType).toArray(LogicalType[]::new);
    final GeneratedRecordEqualiser recordEqualiser = new EqualiserCodeGenerator(globalAggValueTypes).generateRecordEqualiser("GroupAggValueEqualiser");
    final OneInputStreamOperator<RowData, RowData> operator;
    final boolean isMiniBatchEnabled = config.get(ExecutionConfigOptions.TABLE_EXEC_MINIBATCH_ENABLED);
    if (isMiniBatchEnabled) {
        MiniBatchGlobalGroupAggFunction aggFunction = new MiniBatchGlobalGroupAggFunction(localAggsHandler, globalAggsHandler, recordEqualiser, globalAccTypes, indexOfCountStar, generateUpdateBefore, config.getStateRetentionTime());
        operator = new KeyedMapBundleOperator<>(aggFunction, AggregateUtil.createMiniBatchTrigger(config));
    } else {
        throw new TableException("Local-Global optimization is only worked in miniBatch mode");
    }
    // partitioned aggregation
    final OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(GLOBAL_GROUP_AGGREGATE_TRANSFORMATION, config), operator, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
    // set KeyType and Selector for state
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(grouping, InternalTypeInfo.of(inputRowType));
    transform.setStateKeySelector(selector);
    transform.setStateKeyType(selector.getProducedType());
    return transform;
}

Example 9 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamExecGroupWindowAggregate method translateToPlanInternal.

@SuppressWarnings("unchecked")
@Override
protected Transformation<RowData> translateToPlanInternal(PlannerBase planner, ExecNodeConfig config) {
    final boolean isCountWindow;
    if (window instanceof TumblingGroupWindow) {
        isCountWindow = hasRowIntervalType(((TumblingGroupWindow) window).size());
    } else if (window instanceof SlidingGroupWindow) {
        isCountWindow = hasRowIntervalType(((SlidingGroupWindow) window).size());
    } else {
        isCountWindow = false;
    }
    if (isCountWindow && grouping.length > 0 && config.getStateRetentionTime() < 0) {
        LOGGER.warn("No state retention interval configured for a query which accumulates state. " + "Please provide a query configuration with valid retention interval to prevent " + "excessive state size. You may specify a retention time of 0 to not clean up the state.");
    }
    final ExecEdge inputEdge = getInputEdges().get(0);
    final Transformation<RowData> inputTransform = (Transformation<RowData>) inputEdge.translateToPlan(planner);
    final RowType inputRowType = (RowType) inputEdge.getOutputType();
    final int inputTimeFieldIndex;
    if (isRowtimeAttribute(window.timeAttribute())) {
        inputTimeFieldIndex = timeFieldIndex(FlinkTypeFactory.INSTANCE().buildRelNodeRowType(inputRowType), planner.getRelBuilder(), window.timeAttribute());
        if (inputTimeFieldIndex < 0) {
            throw new TableException("Group window must defined on a time attribute, " + "but the time attribute can't be found.\n" + "This should never happen. Please file an issue.");
        }
    } else {
        inputTimeFieldIndex = -1;
    }
    final ZoneId shiftTimeZone = TimeWindowUtil.getShiftTimeZone(window.timeAttribute().getOutputDataType().getLogicalType(), config.getLocalTimeZone());
    final boolean[] aggCallNeedRetractions = new boolean[aggCalls.length];
    Arrays.fill(aggCallNeedRetractions, needRetraction);
    final AggregateInfoList aggInfoList = transformToStreamAggregateInfoList(inputRowType, JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)), aggCallNeedRetractions, needRetraction, // isStateBackendDataViews
    true, // needDistinctInfo
    true);
    final GeneratedClass<?> aggCodeGenerator = createAggsHandler(aggInfoList, config, planner.getRelBuilder(), inputRowType.getChildren(), shiftTimeZone);
    final LogicalType[] aggResultTypes = extractLogicalTypes(aggInfoList.getActualValueTypes());
    final LogicalType[] windowPropertyTypes = Arrays.stream(namedWindowProperties).map(p -> p.getProperty().getResultType()).toArray(LogicalType[]::new);
    final EqualiserCodeGenerator generator = new EqualiserCodeGenerator(ArrayUtils.addAll(aggResultTypes, windowPropertyTypes));
    final GeneratedRecordEqualiser equaliser = generator.generateRecordEqualiser("WindowValueEqualiser");
    final LogicalType[] aggValueTypes = extractLogicalTypes(aggInfoList.getActualValueTypes());
    final LogicalType[] accTypes = extractLogicalTypes(aggInfoList.getAccTypes());
    final int inputCountIndex = aggInfoList.getIndexOfCountStar();
    final WindowOperator<?, ?> operator = createWindowOperator(config, aggCodeGenerator, equaliser, accTypes, windowPropertyTypes, aggValueTypes, inputRowType.getChildren().toArray(new LogicalType[0]), inputTimeFieldIndex, shiftTimeZone, inputCountIndex);
    final OneInputTransformation<RowData, RowData> transform = ExecNodeUtil.createOneInputTransformation(inputTransform, createTransformationMeta(GROUP_WINDOW_AGGREGATE_TRANSFORMATION, config), operator, InternalTypeInfo.of(getOutputType()), inputTransform.getParallelism());
    // set KeyType and Selector for state
    final RowDataKeySelector selector = KeySelectorUtil.getRowDataSelector(grouping, InternalTypeInfo.of(inputRowType));
    transform.setStateKeySelector(selector);
    transform.setStateKeyType(selector.getProducedType());
    return transform;
}

Example 10 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamExecGroupWindowAggregate method createAggsHandler.

private GeneratedClass<?> createAggsHandler(AggregateInfoList aggInfoList, ExecNodeConfig config, RelBuilder relBuilder, List<LogicalType> fieldTypes, ZoneId shiftTimeZone) {
    final boolean needMerge;
    final Class<?> windowClass;
    if (window instanceof SlidingGroupWindow) {
        ValueLiteralExpression size = ((SlidingGroupWindow) window).size();
        needMerge = hasTimeIntervalType(size);
        windowClass = hasRowIntervalType(size) ? CountWindow.class : TimeWindow.class;
    } else if (window instanceof TumblingGroupWindow) {
        needMerge = false;
        ValueLiteralExpression size = ((TumblingGroupWindow) window).size();
        windowClass = hasRowIntervalType(size) ? CountWindow.class : TimeWindow.class;
    } else if (window instanceof SessionGroupWindow) {
        needMerge = true;
        windowClass = TimeWindow.class;
    } else {
        throw new TableException("Unsupported window: " + window.toString());
    }
    final AggsHandlerCodeGenerator generator = new AggsHandlerCodeGenerator(new CodeGeneratorContext(config.getTableConfig()), relBuilder, JavaScalaConversionUtil.toScala(fieldTypes), // copyInputField
    false).needAccumulate();
    if (needMerge) {
        generator.needMerge(0, false, null);
    }
    if (needRetraction) {
        generator.needRetract();
    }
    final List<WindowProperty> windowProperties = Arrays.asList(Arrays.stream(namedWindowProperties).map(NamedWindowProperty::getProperty).toArray(WindowProperty[]::new));
    final boolean isTableAggregate = isTableAggregate(Arrays.asList(aggInfoList.getActualAggregateCalls()));
    if (isTableAggregate) {
        return generator.generateNamespaceTableAggsHandler("GroupingWindowTableAggsHandler", aggInfoList, JavaScalaConversionUtil.toScala(windowProperties), windowClass, shiftTimeZone);
    } else {
        return generator.generateNamespaceAggsHandler("GroupingWindowAggsHandler", aggInfoList, JavaScalaConversionUtil.toScala(windowProperties), windowClass, shiftTimeZone);
    }
}