Examples with SingleStreamRuntime io.siddhi.core.query.input.stream.single.SingleStreamRuntime used on opensource projects

Example 6 with SingleStreamRuntime

use of io.siddhi.core.query.input.stream.single.SingleStreamRuntime in project siddhi by wso2.

the class SiddhiAppRuntimeBuilder method addQuery.

public String addQuery(QueryRuntimeImpl queryRuntime) {
    QueryRuntime oldQueryRuntime = queryProcessorMap.put(queryRuntime.getQueryId(), queryRuntime);
    if (oldQueryRuntime != null) {
        throw new SiddhiAppCreationException("Multiple queries with name '" + queryRuntime.getQueryId() + "' defined in Siddhi App '" + siddhiAppContext.getName() + "'", queryRuntime.getQuery().getQueryContextStartIndex(), queryRuntime.getQuery().getQueryContextEndIndex());
    }
    StreamRuntime streamRuntime = queryRuntime.getStreamRuntime();
    for (SingleStreamRuntime singleStreamRuntime : streamRuntime.getSingleStreamRuntimes()) {
        ProcessStreamReceiver processStreamReceiver = singleStreamRuntime.getProcessStreamReceiver();
        if (processStreamReceiver.toStream()) {
            StreamJunction streamJunction = streamJunctionMap.get(processStreamReceiver.getStreamId());
            if (streamJunction != null) {
                streamJunction.subscribe(processStreamReceiver);
            } else {
                throw new SiddhiAppCreationException("Expecting a stream, but provided '" + processStreamReceiver.getStreamId() + "' is not a stream");
            }
        }
    }
    OutputCallback outputCallback = queryRuntime.getOutputCallback();
    if (outputCallback != null && outputCallback instanceof InsertIntoStreamCallback) {
        InsertIntoStreamCallback insertIntoStreamCallback = (InsertIntoStreamCallback) outputCallback;
        StreamDefinition streamDefinition = insertIntoStreamCallback.getOutputStreamDefinition();
        streamDefinitionMap.putIfAbsent(streamDefinition.getId(), streamDefinition);
        DefinitionParserHelper.validateOutputStream(streamDefinition, streamDefinitionMap.get(streamDefinition.getId()));
        StreamJunction outputStreamJunction = streamJunctionMap.get(streamDefinition.getId());
        if (outputStreamJunction == null) {
            outputStreamJunction = new StreamJunction(streamDefinition, siddhiAppContext.getExecutorService(), siddhiAppContext.getBufferSize(), null, siddhiAppContext);
            streamJunctionMap.putIfAbsent(streamDefinition.getId(), outputStreamJunction);
        }
        insertIntoStreamCallback.init(streamJunctionMap.get(insertIntoStreamCallback.getOutputStreamDefinition().getId()));
    } else if (outputCallback != null && outputCallback instanceof InsertIntoWindowCallback) {
        InsertIntoWindowCallback insertIntoWindowCallback = (InsertIntoWindowCallback) outputCallback;
        StreamDefinition streamDefinition = insertIntoWindowCallback.getOutputStreamDefinition();
        windowDefinitionMap.putIfAbsent(streamDefinition.getId(), streamDefinition);
        DefinitionParserHelper.validateOutputStream(streamDefinition, windowDefinitionMap.get(streamDefinition.getId()));
        StreamJunction outputStreamJunction = streamJunctionMap.get(streamDefinition.getId());
        if (outputStreamJunction == null) {
            outputStreamJunction = new StreamJunction(streamDefinition, siddhiAppContext.getExecutorService(), siddhiAppContext.getBufferSize(), null, siddhiAppContext);
            streamJunctionMap.putIfAbsent(streamDefinition.getId(), outputStreamJunction);
        }
        insertIntoWindowCallback.getWindow().setPublisher(streamJunctionMap.get(insertIntoWindowCallback.getOutputStreamDefinition().getId()).constructPublisher());
    }
    return queryRuntime.getQueryId();
}

Example 7 with SingleStreamRuntime

use of io.siddhi.core.query.input.stream.single.SingleStreamRuntime in project siddhi by wso2.

the class SiddhiAppRuntimeImpl method debug.

public synchronized SiddhiDebugger debug() {
    siddhiDebugger = new SiddhiDebugger(siddhiAppContext);
    List<StreamRuntime> streamRuntime = new ArrayList<>();
    List<OutputCallback> streamCallbacks = new ArrayList<>();
    for (QueryRuntime queryRuntime : queryProcessorMap.values()) {
        streamRuntime.add(((QueryRuntimeImpl) queryRuntime).getStreamRuntime());
        streamCallbacks.add(((QueryRuntimeImpl) queryRuntime).getOutputCallback());
    }
    for (StreamRuntime streamRuntime1 : streamRuntime) {
        for (SingleStreamRuntime singleStreamRuntime : streamRuntime1.getSingleStreamRuntimes()) {
            singleStreamRuntime.getProcessStreamReceiver().setSiddhiDebugger(siddhiDebugger);
        }
    }
    for (OutputCallback callback : streamCallbacks) {
        callback.setSiddhiDebugger(siddhiDebugger);
    }
    start();
    return siddhiDebugger;
}

Example 8 with SingleStreamRuntime

use of io.siddhi.core.query.input.stream.single.SingleStreamRuntime in project siddhi by wso2.

the class AggregationParser method parse.

public static AggregationRuntime parse(AggregationDefinition aggregationDefinition, SiddhiAppContext siddhiAppContext, Map<String, AbstractDefinition> streamDefinitionMap, Map<String, AbstractDefinition> tableDefinitionMap, Map<String, AbstractDefinition> windowDefinitionMap, Map<String, AbstractDefinition> aggregationDefinitionMap, Map<String, Table> tableMap, Map<String, Window> windowMap, Map<String, AggregationRuntime> aggregationMap, SiddhiAppRuntimeBuilder siddhiAppRuntimeBuilder) {
    // set timeZone for aggregation
    String timeZone = getTimeZone(siddhiAppContext);
    boolean isDebugEnabled = log.isDebugEnabled();
    boolean isPersistedAggregation = false;
    boolean isReadOnly = false;
    if (!validateTimeZone(timeZone)) {
        throw new SiddhiAppCreationException("Given timeZone '" + timeZone + "' for aggregations is invalid. Please provide a valid time zone.");
    }
    // get aggregation name
    String aggregatorName = aggregationDefinition.getId();
    if (isDebugEnabled) {
        log.debug("Incremental aggregation initialization process started for aggregation " + aggregatorName);
    }
    Annotation aggregationProperties = AnnotationHelper.getAnnotation(ANNOTATION_PERSISTED_AGGREGATION, aggregationDefinition.getAnnotations());
    if (aggregationProperties != null) {
        String persistedAggregationMode = aggregationProperties.getElement(ANNOTATION_ELEMENT_ENABLE);
        isPersistedAggregation = persistedAggregationMode == null || Boolean.parseBoolean(persistedAggregationMode);
        String readOnlyMode = aggregationProperties.getElement(ANNOTATION_ELEMENT_IS_READ_ONLY);
        isReadOnly = Boolean.parseBoolean(readOnlyMode);
    }
    if (isPersistedAggregation) {
        aggregationDefinition.getSelector().getSelectionList().stream().forEach(outputAttribute -> {
            if (outputAttribute.getExpression() instanceof AttributeFunction && ((AttributeFunction) outputAttribute.getExpression()).getName().equals("distinctCount")) {
                throw new SiddhiAppCreationException("Aggregation function 'distinctCount' does not supported " + "with persisted aggregation type please use default incremental aggregation");
            }
        });
    }
    if (isDebugEnabled) {
        log.debug("Aggregation mode is defined as " + (isPersistedAggregation ? "persisted" : "inMemory") + " for aggregation " + aggregatorName);
    }
    if (aggregationDefinition.getTimePeriod() == null) {
        throw new SiddhiAppCreationException("Aggregation Definition '" + aggregationDefinition.getId() + "'s timePeriod is null. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'", aggregationDefinition.getQueryContextStartIndex(), aggregationDefinition.getQueryContextEndIndex());
    }
    if (aggregationDefinition.getSelector() == null) {
        throw new SiddhiAppCreationException("Aggregation Definition '" + aggregationDefinition.getId() + "'s selection is not defined. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'", aggregationDefinition.getQueryContextStartIndex(), aggregationDefinition.getQueryContextEndIndex());
    }
    if (streamDefinitionMap.get(aggregationDefinition.getBasicSingleInputStream().getStreamId()) == null) {
        throw new SiddhiAppCreationException("Stream " + aggregationDefinition.getBasicSingleInputStream().getStreamId() + " has not been defined");
    }
    // Check if the user defined primary keys exists for @store annotation on aggregation if yes, an error is
    // is thrown
    Element userDefinedPrimaryKey = AnnotationHelper.getAnnotationElement(SiddhiConstants.ANNOTATION_PRIMARY_KEY, null, aggregationDefinition.getAnnotations());
    if (userDefinedPrimaryKey != null) {
        throw new SiddhiAppCreationException("Aggregation Tables have predefined primary key, but found '" + userDefinedPrimaryKey.getValue() + "' primary key defined though annotation.");
    }
    try {
        List<VariableExpressionExecutor> incomingVariableExpressionExecutors = new ArrayList<>();
        SiddhiQueryContext siddhiQueryContext = new SiddhiQueryContext(siddhiAppContext, aggregatorName);
        StreamRuntime streamRuntime = InputStreamParser.parse(aggregationDefinition.getBasicSingleInputStream(), null, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, incomingVariableExpressionExecutors, false, siddhiQueryContext);
        // Get original meta for later use.
        MetaStreamEvent incomingMetaStreamEvent = (MetaStreamEvent) streamRuntime.getMetaComplexEvent();
        // Create new meta stream event.
        // This must hold the timestamp, group by attributes (if given) and the incremental attributes, in
        // onAfterWindowData array
        // Example format: AGG_TIMESTAMP, groupByAttribute1, groupByAttribute2, AGG_incAttribute1, AGG_incAttribute2
        // AGG_incAttribute1, AGG_incAttribute2 would have the same attribute names as in
        // finalListOfIncrementalAttributes
        // To enter data as onAfterWindowData
        incomingMetaStreamEvent.initializeOnAfterWindowData();
        // List of all aggregationDurations
        List<TimePeriod.Duration> aggregationDurations = getSortedPeriods(aggregationDefinition.getTimePeriod(), isPersistedAggregation);
        // Incoming executors will be executors for timestamp, externalTimestamp(if used),
        List<ExpressionExecutor> incomingExpressionExecutors = new ArrayList<>();
        List<IncrementalAttributeAggregator> incrementalAttributeAggregators = new ArrayList<>();
        // group by attributes (if given) and the incremental attributes expression executors
        List<Variable> groupByVariableList = aggregationDefinition.getSelector().getGroupByList();
        // Expressions to get final aggregate outputs. e.g for avg the expression is Divide expression with
        // AGG_SUM/ AGG_COUNT
        List<Expression> outputExpressions = new ArrayList<>();
        boolean isProcessingOnExternalTime = aggregationDefinition.getAggregateAttribute() != null;
        boolean isGroupBy = aggregationDefinition.getSelector().getGroupByList().size() != 0;
        final boolean isDistributed;
        ConfigManager configManager = siddhiAppContext.getSiddhiContext().getConfigManager();
        final String shardId = configManager.extractProperty("shardId");
        boolean enablePartitioning = false;
        // check if the setup is Active Active(distributed deployment) by checking availability of partitionById
        // config
        Annotation partitionById = AnnotationHelper.getAnnotation(ANNOTATION_PARTITION_BY_ID, aggregationDefinition.getAnnotations());
        if (partitionById != null) {
            String enableElement = partitionById.getElement(ANNOTATION_ELEMENT_ENABLE);
            enablePartitioning = enableElement == null || Boolean.parseBoolean(enableElement);
        }
        boolean shouldPartitionById = Boolean.parseBoolean(configManager.extractProperty("partitionById"));
        if (enablePartitioning || shouldPartitionById) {
            if (shardId == null) {
                throw new SiddhiAppCreationException("Configuration 'shardId' not provided for @partitionById " + "annotation");
            }
            isDistributed = true;
        } else {
            isDistributed = false;
        }
        if (isDebugEnabled) {
            log.debug("Distributed aggregation processing is " + (isDistributed ? "enabled" : "disabled") + " in " + aggregatorName + " aggregation ");
        }
        populateIncomingAggregatorsAndExecutors(aggregationDefinition, siddhiQueryContext, tableMap, incomingVariableExpressionExecutors, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators, groupByVariableList, outputExpressions, isProcessingOnExternalTime, isDistributed, shardId);
        // check if the populateIncomingAggregatorsAndExecutors process has been completed successfully
        boolean isLatestEventColAdded = incomingMetaStreamEvent.getOutputData().get(incomingMetaStreamEvent.getOutputData().size() - 1).getName().equals(AGG_LAST_TIMESTAMP_COL);
        int baseAggregatorBeginIndex = incomingMetaStreamEvent.getOutputData().size();
        List<Expression> finalBaseExpressions = new ArrayList<>();
        boolean isOptimisedLookup = populateFinalBaseAggregators(tableMap, incomingVariableExpressionExecutors, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators, siddhiQueryContext, finalBaseExpressions);
        if (isDebugEnabled) {
            log.debug("Optimised lookup mode is " + (isOptimisedLookup ? "enabled" : "disabled") + " for " + "aggregation " + aggregatorName);
        }
        // Creating an intermediate stream with aggregated stream and above extracted output variables
        StreamDefinition incomingOutputStreamDefinition = StreamDefinition.id(aggregatorName + "_intermediate");
        incomingOutputStreamDefinition.setQueryContextStartIndex(aggregationDefinition.getQueryContextStartIndex());
        incomingOutputStreamDefinition.setQueryContextEndIndex(aggregationDefinition.getQueryContextEndIndex());
        MetaStreamEvent processedMetaStreamEvent = new MetaStreamEvent();
        for (Attribute attribute : incomingMetaStreamEvent.getOutputData()) {
            incomingOutputStreamDefinition.attribute(attribute.getName(), attribute.getType());
            processedMetaStreamEvent.addOutputData(attribute);
        }
        incomingMetaStreamEvent.setOutputDefinition(incomingOutputStreamDefinition);
        processedMetaStreamEvent.addInputDefinition(incomingOutputStreamDefinition);
        processedMetaStreamEvent.setOutputDefinition(incomingOutputStreamDefinition);
        // Executors of processing meta
        List<VariableExpressionExecutor> processVariableExpressionExecutors = new ArrayList<>();
        Map<TimePeriod.Duration, List<ExpressionExecutor>> processExpressionExecutorsMap = new HashMap<>();
        Map<TimePeriod.Duration, List<ExpressionExecutor>> processExpressionExecutorsMapForFind = new HashMap<>();
        aggregationDurations.forEach(incrementalDuration -> {
            processExpressionExecutorsMap.put(incrementalDuration, constructProcessExpressionExecutors(siddhiQueryContext, tableMap, baseAggregatorBeginIndex, finalBaseExpressions, incomingOutputStreamDefinition, processedMetaStreamEvent, processVariableExpressionExecutors, isProcessingOnExternalTime, incrementalDuration, isDistributed, shardId, isLatestEventColAdded));
            processExpressionExecutorsMapForFind.put(incrementalDuration, constructProcessExpressionExecutors(siddhiQueryContext, tableMap, baseAggregatorBeginIndex, finalBaseExpressions, incomingOutputStreamDefinition, processedMetaStreamEvent, processVariableExpressionExecutors, isProcessingOnExternalTime, incrementalDuration, isDistributed, shardId, isLatestEventColAdded));
        });
        ExpressionExecutor shouldUpdateTimestamp = null;
        if (isLatestEventColAdded) {
            Expression shouldUpdateTimestampExp = new Variable(AGG_LAST_TIMESTAMP_COL);
            shouldUpdateTimestamp = ExpressionParser.parseExpression(shouldUpdateTimestampExp, processedMetaStreamEvent, 0, tableMap, processVariableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
        }
        List<ExpressionExecutor> outputExpressionExecutors = outputExpressions.stream().map(expression -> ExpressionParser.parseExpression(expression, processedMetaStreamEvent, 0, tableMap, processVariableExpressionExecutors, isGroupBy, 0, ProcessingMode.BATCH, false, siddhiQueryContext)).collect(Collectors.toList());
        // Create group by key generator
        Map<TimePeriod.Duration, GroupByKeyGenerator> groupByKeyGeneratorMap = new HashMap<>();
        aggregationDurations.forEach(incrementalDuration -> {
            GroupByKeyGenerator groupByKeyGenerator = null;
            if (isProcessingOnExternalTime || isGroupBy) {
                List<Expression> groupByExpressionList = new ArrayList<>();
                if (isProcessingOnExternalTime) {
                    Expression externalTimestampExpression = AttributeFunction.function("incrementalAggregator", "getAggregationStartTime", new Variable(AGG_EXTERNAL_TIMESTAMP_COL), new StringConstant(incrementalDuration.name()));
                    groupByExpressionList.add(externalTimestampExpression);
                }
                groupByExpressionList.addAll(groupByVariableList.stream().map(groupByVariable -> (Expression) groupByVariable).collect(Collectors.toList()));
                groupByKeyGenerator = new GroupByKeyGenerator(groupByExpressionList, processedMetaStreamEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, processVariableExpressionExecutors, siddhiQueryContext);
            }
            groupByKeyGeneratorMap.put(incrementalDuration, groupByKeyGenerator);
        });
        // GroupBy for reading
        Map<TimePeriod.Duration, GroupByKeyGenerator> groupByKeyGeneratorMapForReading = new HashMap<>();
        if (isDistributed && !isProcessingOnExternalTime) {
            aggregationDurations.forEach(incrementalDuration -> {
                List<Expression> groupByExpressionList = new ArrayList<>();
                Expression timestampExpression = AttributeFunction.function("incrementalAggregator", "getAggregationStartTime", new Variable(AGG_START_TIMESTAMP_COL), new StringConstant(incrementalDuration.name()));
                groupByExpressionList.add(timestampExpression);
                if (isGroupBy) {
                    groupByExpressionList.addAll(groupByVariableList.stream().map(groupByVariable -> (Expression) groupByVariable).collect(Collectors.toList()));
                }
                GroupByKeyGenerator groupByKeyGenerator = new GroupByKeyGenerator(groupByExpressionList, processedMetaStreamEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, processVariableExpressionExecutors, siddhiQueryContext);
                groupByKeyGeneratorMapForReading.put(incrementalDuration, groupByKeyGenerator);
            });
        } else {
            groupByKeyGeneratorMapForReading.putAll(groupByKeyGeneratorMap);
        }
        // Create new scheduler
        EntryValveExecutor entryValveExecutor = new EntryValveExecutor(siddhiAppContext);
        LockWrapper lockWrapper = new LockWrapper(aggregatorName);
        lockWrapper.setLock(new ReentrantLock());
        Scheduler scheduler = SchedulerParser.parse(entryValveExecutor, siddhiQueryContext);
        scheduler.init(lockWrapper, aggregatorName);
        scheduler.setStreamEventFactory(new StreamEventFactory(processedMetaStreamEvent));
        QueryParserHelper.reduceMetaComplexEvent(incomingMetaStreamEvent);
        QueryParserHelper.reduceMetaComplexEvent(processedMetaStreamEvent);
        QueryParserHelper.updateVariablePosition(incomingMetaStreamEvent, incomingVariableExpressionExecutors);
        QueryParserHelper.updateVariablePosition(processedMetaStreamEvent, processVariableExpressionExecutors);
        Map<TimePeriod.Duration, Table> aggregationTables = initDefaultTables(aggregatorName, aggregationDurations, processedMetaStreamEvent.getOutputStreamDefinition(), siddhiAppRuntimeBuilder, aggregationDefinition.getAnnotations(), groupByVariableList, isProcessingOnExternalTime, isDistributed);
        Map<TimePeriod.Duration, Executor> incrementalExecutorMap = buildIncrementalExecutors(processedMetaStreamEvent, processExpressionExecutorsMap, groupByKeyGeneratorMap, aggregationDurations, aggregationTables, siddhiQueryContext, aggregatorName, shouldUpdateTimestamp, timeZone, isPersistedAggregation, incomingOutputStreamDefinition, isDistributed, shardId, isProcessingOnExternalTime, aggregationDefinition, configManager, groupByVariableList, isReadOnly);
        isOptimisedLookup = isOptimisedLookup && aggregationTables.get(aggregationDurations.get(0)) instanceof QueryableProcessor;
        List<String> groupByVariablesList = groupByVariableList.stream().map(Variable::getAttributeName).collect(Collectors.toList());
        List<OutputAttribute> defaultSelectorList = new ArrayList<>();
        if (isOptimisedLookup) {
            defaultSelectorList = incomingOutputStreamDefinition.getAttributeList().stream().map((attribute) -> new OutputAttribute(new Variable(attribute.getName()))).collect(Collectors.toList());
        }
        IncrementalDataPurger incrementalDataPurger = new IncrementalDataPurger();
        incrementalDataPurger.init(aggregationDefinition, new StreamEventFactory(processedMetaStreamEvent), aggregationTables, isProcessingOnExternalTime, siddhiQueryContext, aggregationDurations, timeZone, windowMap, aggregationMap);
        // Recreate in-memory data from tables
        IncrementalExecutorsInitialiser incrementalExecutorsInitialiser = new IncrementalExecutorsInitialiser(aggregationDurations, aggregationTables, incrementalExecutorMap, isDistributed, shardId, siddhiAppContext, processedMetaStreamEvent, tableMap, windowMap, aggregationMap, timeZone, isReadOnly, isPersistedAggregation);
        IncrementalExecutor rootIncrementalExecutor = (IncrementalExecutor) incrementalExecutorMap.get(aggregationDurations.get(0));
        rootIncrementalExecutor.setScheduler(scheduler);
        // Connect entry valve to root incremental executor
        entryValveExecutor.setNextExecutor(rootIncrementalExecutor);
        QueryParserHelper.initStreamRuntime(streamRuntime, incomingMetaStreamEvent, lockWrapper, aggregatorName);
        LatencyTracker latencyTrackerFind = null;
        LatencyTracker latencyTrackerInsert = null;
        ThroughputTracker throughputTrackerFind = null;
        ThroughputTracker throughputTrackerInsert = null;
        if (siddhiAppContext.getStatisticsManager() != null) {
            latencyTrackerFind = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_FIND);
            latencyTrackerInsert = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_INSERT);
            throughputTrackerFind = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_FIND);
            throughputTrackerInsert = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_INSERT);
        }
        AggregationRuntime aggregationRuntime = new AggregationRuntime(aggregationDefinition, isProcessingOnExternalTime, isDistributed, aggregationDurations, incrementalExecutorMap, aggregationTables, outputExpressionExecutors, processExpressionExecutorsMapForFind, shouldUpdateTimestamp, groupByKeyGeneratorMapForReading, isOptimisedLookup, defaultSelectorList, groupByVariablesList, isLatestEventColAdded, baseAggregatorBeginIndex, finalBaseExpressions, incrementalDataPurger, incrementalExecutorsInitialiser, ((SingleStreamRuntime) streamRuntime), processedMetaStreamEvent, latencyTrackerFind, throughputTrackerFind, timeZone);
        streamRuntime.setCommonProcessor(new IncrementalAggregationProcessor(aggregationRuntime, incomingExpressionExecutors, processedMetaStreamEvent, latencyTrackerInsert, throughputTrackerInsert, siddhiAppContext));
        return aggregationRuntime;
    } catch (Throwable t) {
        ExceptionUtil.populateQueryContext(t, aggregationDefinition, siddhiAppContext);
        throw t;
    }
}

Example 9 with SingleStreamRuntime

use of io.siddhi.core.query.input.stream.single.SingleStreamRuntime in project siddhi by wso2.

the class SingleInputStreamParser method parseInputStream.

/**
 * Parse single InputStream and return SingleStreamRuntime
 *
 * @param inputStream                 single input stream to be parsed
 * @param variableExpressionExecutors List to hold VariableExpressionExecutors to update after query parsing
 * @param streamDefinitionMap         Stream Definition Map
 * @param tableDefinitionMap          Table Definition Map
 * @param windowDefinitionMap         window definition map
 * @param aggregationDefinitionMap    aggregation definition map
 * @param tableMap                    Table Map
 * @param metaComplexEvent            MetaComplexEvent
 * @param processStreamReceiver       ProcessStreamReceiver
 * @param supportsBatchProcessing     supports batch processing
 * @param outputExpectsExpiredEvents  is expired events sent as output
 * @param findToBeExecuted            find will be executed in the steam stores
 * @param multiValue                  event has the possibility to produce multiple values
 * @param siddhiQueryContext          @return SingleStreamRuntime
 */
public static SingleStreamRuntime parseInputStream(SingleInputStream inputStream, List<VariableExpressionExecutor> variableExpressionExecutors, Map<String, AbstractDefinition> streamDefinitionMap, Map<String, AbstractDefinition> tableDefinitionMap, Map<String, AbstractDefinition> windowDefinitionMap, Map<String, AbstractDefinition> aggregationDefinitionMap, Map<String, Table> tableMap, MetaComplexEvent metaComplexEvent, ProcessStreamReceiver processStreamReceiver, boolean supportsBatchProcessing, boolean outputExpectsExpiredEvents, boolean findToBeExecuted, boolean multiValue, SiddhiQueryContext siddhiQueryContext) {
    Processor processor = null;
    EntryValveProcessor entryValveProcessor = null;
    ProcessingMode processingMode = ProcessingMode.BATCH;
    boolean first = true;
    MetaStreamEvent metaStreamEvent;
    if (metaComplexEvent instanceof MetaStateEvent) {
        metaStreamEvent = new MetaStreamEvent();
        ((MetaStateEvent) metaComplexEvent).addEvent(metaStreamEvent);
        initMetaStreamEvent(inputStream, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, multiValue, metaStreamEvent);
    } else {
        metaStreamEvent = (MetaStreamEvent) metaComplexEvent;
        initMetaStreamEvent(inputStream, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, multiValue, metaStreamEvent);
    }
    // A window cannot be defined for a window stream
    if (!inputStream.getStreamHandlers().isEmpty() && windowDefinitionMap != null && windowDefinitionMap.containsKey(inputStream.getStreamId())) {
        for (StreamHandler handler : inputStream.getStreamHandlers()) {
            if (handler instanceof Window) {
                throw new OperationNotSupportedException("Cannot create " + ((Window) handler).getName() + " " + "window for the window stream " + inputStream.getStreamId());
            }
        }
    }
    if (!inputStream.getStreamHandlers().isEmpty()) {
        for (StreamHandler handler : inputStream.getStreamHandlers()) {
            Processor currentProcessor = generateProcessor(handler, metaComplexEvent, variableExpressionExecutors, tableMap, supportsBatchProcessing, outputExpectsExpiredEvents, findToBeExecuted, siddhiQueryContext);
            if (currentProcessor instanceof SchedulingProcessor) {
                if (entryValveProcessor == null) {
                    entryValveProcessor = new EntryValveProcessor(siddhiQueryContext.getSiddhiAppContext());
                    if (first) {
                        processor = entryValveProcessor;
                        first = false;
                    } else {
                        processor.setToLast(entryValveProcessor);
                    }
                }
                Scheduler scheduler = SchedulerParser.parse(entryValveProcessor, siddhiQueryContext);
                ((SchedulingProcessor) currentProcessor).setScheduler(scheduler);
            }
            if (currentProcessor instanceof AbstractStreamProcessor) {
                processingMode = ProcessingMode.findUpdatedProcessingMode(processingMode, ((AbstractStreamProcessor) currentProcessor).getProcessingMode());
            }
            if (first) {
                processor = currentProcessor;
                first = false;
            } else {
                processor.setToLast(currentProcessor);
            }
        }
    }
    metaStreamEvent.initializeOnAfterWindowData();
    return new SingleStreamRuntime(processStreamReceiver, processor, processingMode, metaComplexEvent);
}

Example 10 with SingleStreamRuntime

use of io.siddhi.core.query.input.stream.single.SingleStreamRuntime in project siddhi by wso2.

the class QueryParserHelper method initStreamRuntime.

public static void initStreamRuntime(StreamRuntime runtime, MetaComplexEvent metaComplexEvent, LockWrapper lockWrapper, String queryName) {
    if (runtime instanceof SingleStreamRuntime) {
        initSingleStreamRuntime((SingleStreamRuntime) runtime, 0, metaComplexEvent, null, lockWrapper, queryName);
    } else {
        MetaStateEvent metaStateEvent = (MetaStateEvent) metaComplexEvent;
        StateEventFactory stateEventFactory = new StateEventFactory(metaStateEvent);
        MetaStreamEvent[] metaStreamEvents = metaStateEvent.getMetaStreamEvents();
        for (int i = 0, metaStreamEventsLength = metaStreamEvents.length; i < metaStreamEventsLength; i++) {
            initSingleStreamRuntime(runtime.getSingleStreamRuntimes().get(i), i, metaStateEvent, stateEventFactory, lockWrapper, queryName);
        }
    }
}