Examples with MetaStreamEvent io.siddhi.core.event.stream.MetaStreamEvent used on opensource projects

Example 41 with MetaStreamEvent

use of io.siddhi.core.event.stream.MetaStreamEvent in project siddhi by wso2.

the class OnDemandQueryParser method parse.

public static OnDemandQueryRuntime parse(OnDemandQuery onDemandQuery, String onDemandQueryString, SiddhiAppContext siddhiAppContext, Map<String, Table> tableMap, Map<String, Window> windowMap, Map<String, AggregationRuntime> aggregationMap) {
    final LockWrapper lockWrapper = new LockWrapper("OnDemandQueryLock");
    lockWrapper.setLock(new ReentrantLock());
    MetaStreamEvent metaStreamEvent = new MetaStreamEvent();
    int metaPosition = SiddhiConstants.UNKNOWN_STATE;
    String queryName;
    Table table;
    SiddhiQueryContext siddhiQueryContext;
    Expression onCondition;
    SnapshotService.getSkipStateStorageThreadLocal().set(true);
    switch(onDemandQuery.getType()) {
        case FIND:
            Within within = null;
            Expression per = null;
            queryName = "store_select_query_" + onDemandQuery.getInputStore().getStoreId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            InputStore inputStore = onDemandQuery.getInputStore();
            try {
                onCondition = Expression.value(true);
                metaStreamEvent.setInputReferenceId(inputStore.getStoreReferenceId());
                if (inputStore instanceof AggregationInputStore) {
                    AggregationInputStore aggregationInputStore = (AggregationInputStore) inputStore;
                    if (aggregationMap.get(inputStore.getStoreId()) == null) {
                        throw new OnDemandQueryCreationException("Aggregation \"" + inputStore.getStoreId() + "\" has not been defined");
                    }
                    if (aggregationInputStore.getPer() != null && aggregationInputStore.getWithin() != null) {
                        within = aggregationInputStore.getWithin();
                        per = aggregationInputStore.getPer();
                    } else if (aggregationInputStore.getPer() != null || aggregationInputStore.getWithin() != null) {
                        throw new OnDemandQueryCreationException(inputStore.getStoreId() + " should either have both 'within' and 'per' " + "defined or none.");
                    }
                    if (((AggregationInputStore) inputStore).getOnCondition() != null) {
                        onCondition = ((AggregationInputStore) inputStore).getOnCondition();
                    }
                } else if (inputStore instanceof ConditionInputStore) {
                    if (((ConditionInputStore) inputStore).getOnCondition() != null) {
                        onCondition = ((ConditionInputStore) inputStore).getOnCondition();
                    }
                }
                List<VariableExpressionExecutor> variableExpressionExecutors = new ArrayList<>();
                table = tableMap.get(inputStore.getStoreId());
                if (table != null) {
                    return constructOnDemandQueryRuntime(table, onDemandQuery, tableMap, windowMap, metaPosition, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
                } else {
                    AggregationRuntime aggregation = aggregationMap.get(inputStore.getStoreId());
                    if (aggregation != null) {
                        return constructOnDemandQueryRuntime(aggregation, onDemandQuery, tableMap, windowMap, within, per, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
                    } else {
                        Window window = windowMap.get(inputStore.getStoreId());
                        if (window != null) {
                            return constructOnDemandQueryRuntime(window, onDemandQuery, tableMap, windowMap, metaPosition, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
                        } else {
                            throw new OnDemandQueryCreationException(inputStore.getStoreId() + " is neither a table, aggregation or window");
                        }
                    }
                }
            } finally {
                SnapshotService.getSkipStateStorageThreadLocal().set(null);
            }
        case INSERT:
            InsertIntoStream inserIntoStreamt = (InsertIntoStream) onDemandQuery.getOutputStream();
            queryName = "store_insert_query_" + inserIntoStreamt.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = Expression.value(true);
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, inserIntoStreamt, onCondition, siddhiQueryContext);
        case DELETE:
            DeleteStream deleteStream = (DeleteStream) onDemandQuery.getOutputStream();
            queryName = "store_delete_query_" + deleteStream.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = deleteStream.getOnDeleteExpression();
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, deleteStream, onCondition, siddhiQueryContext);
        case UPDATE:
            UpdateStream outputStream = (UpdateStream) onDemandQuery.getOutputStream();
            queryName = "store_update_query_" + outputStream.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = outputStream.getOnUpdateExpression();
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, outputStream, onCondition, siddhiQueryContext);
        case UPDATE_OR_INSERT:
            UpdateOrInsertStream onDemandQueryOutputStream = (UpdateOrInsertStream) onDemandQuery.getOutputStream();
            queryName = "store_update_or_insert_query_" + onDemandQueryOutputStream.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = onDemandQueryOutputStream.getOnUpdateExpression();
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, onDemandQueryOutputStream, onCondition, siddhiQueryContext);
        default:
            return null;
    }
}

Example 42 with MetaStreamEvent

use of io.siddhi.core.event.stream.MetaStreamEvent 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 43 with MetaStreamEvent

use of io.siddhi.core.event.stream.MetaStreamEvent in project siddhi by wso2.

the class PartitionParser method createMetaEventForPartitioner.

/**
 * Create metaEvent to be used by StreamPartitioner with output attributes
 *
 * @param stateEvent metaStateEvent of the queryRuntime
 * @return metaStateEvent
 */
private static MetaStateEvent createMetaEventForPartitioner(MetaComplexEvent stateEvent) {
    MetaStateEvent metaStateEvent;
    if (stateEvent instanceof MetaStateEvent) {
        metaStateEvent = new MetaStateEvent(((MetaStateEvent) stateEvent).getStreamEventCount());
        for (MetaStreamEvent metaStreamEvent : ((MetaStateEvent) stateEvent).getMetaStreamEvents()) {
            AbstractDefinition definition = metaStreamEvent.getLastInputDefinition();
            MetaStreamEvent newMetaStreamEvent = new MetaStreamEvent();
            for (Attribute attribute : definition.getAttributeList()) {
                newMetaStreamEvent.addOutputData(attribute);
            }
            newMetaStreamEvent.addInputDefinition(definition);
            newMetaStreamEvent.setEventType(metaStreamEvent.getEventType());
            metaStateEvent.addEvent(newMetaStreamEvent);
        }
    } else {
        metaStateEvent = new MetaStateEvent(1);
        AbstractDefinition definition = ((MetaStreamEvent) stateEvent).getLastInputDefinition();
        MetaStreamEvent newMetaStreamEvent = new MetaStreamEvent();
        for (Attribute attribute : definition.getAttributeList()) {
            newMetaStreamEvent.addOutputData(attribute);
        }
        newMetaStreamEvent.addInputDefinition(definition);
        newMetaStreamEvent.setEventType(((MetaStreamEvent) stateEvent).getEventType());
        metaStateEvent.addEvent(newMetaStreamEvent);
    }
    return metaStateEvent;
}

Example 44 with MetaStreamEvent

use of io.siddhi.core.event.stream.MetaStreamEvent in project siddhi by wso2.

the class EventHolderPasser method parse.

public static EventHolder parse(AbstractDefinition tableDefinition, StreamEventFactory tableStreamEventFactory, SiddhiAppContext siddhiAppContext, boolean isCacheTable) {
    ZeroStreamEventConverter eventConverter = new ZeroStreamEventConverter();
    PrimaryKeyReferenceHolder[] primaryKeyReferenceHolders = null;
    Map<String, Integer> indexMetaData = new HashMap<String, Integer>();
    // primaryKey.
    Annotation primaryKeyAnnotation = AnnotationHelper.getAnnotation(SiddhiConstants.ANNOTATION_PRIMARY_KEY, tableDefinition.getAnnotations());
    if (primaryKeyAnnotation != null) {
        if (primaryKeyAnnotation.getElements().size() == 0) {
            throw new SiddhiAppValidationException(SiddhiConstants.ANNOTATION_PRIMARY_KEY + " annotation " + "contains " + primaryKeyAnnotation.getElements().size() + " element, at '" + tableDefinition.getId() + "'");
        }
        primaryKeyReferenceHolders = primaryKeyAnnotation.getElements().stream().map(element -> element.getValue().trim()).map(key -> new PrimaryKeyReferenceHolder(key, tableDefinition.getAttributePosition(key))).toArray(PrimaryKeyReferenceHolder[]::new);
    }
    for (Annotation indexAnnotation : AnnotationHelper.getAnnotations(SiddhiConstants.ANNOTATION_INDEX, tableDefinition.getAnnotations())) {
        if (indexAnnotation.getElements().size() == 0) {
            throw new SiddhiAppValidationException(SiddhiConstants.ANNOTATION_INDEX + " annotation of " + "in-memory table should contain only one index element, but found " + indexAnnotation.getElements().size() + " element", indexAnnotation.getQueryContextStartIndex(), indexAnnotation.getQueryContextEndIndex());
        } else if (indexAnnotation.getElements().size() > 1) {
            throw new SiddhiAppValidationException(SiddhiConstants.ANNOTATION_INDEX + " annotation of the " + "in-memory table should only contain one index element but found " + indexAnnotation.getElements().size() + " elements. To use multiple indexes, " + "define multiple '@index(<index key>)' annotations with one index element " + "per each index key", indexAnnotation.getQueryContextStartIndex(), indexAnnotation.getQueryContextEndIndex());
        }
        for (Element element : indexAnnotation.getElements()) {
            Integer previousValue = indexMetaData.put(element.getValue().trim(), tableDefinition.getAttributePosition(element.getValue().trim()));
            if (previousValue != null) {
                throw new SiddhiAppValidationException("Multiple " + SiddhiConstants.ANNOTATION_INDEX + " " + "annotations defined with same attribute '" + element.getValue().trim() + "', at '" + tableDefinition.getId() + "'", indexAnnotation.getQueryContextStartIndex(), indexAnnotation.getQueryContextEndIndex());
            }
        }
    }
    // not support indexBy.
    Annotation indexByAnnotation = AnnotationHelper.getAnnotation(SiddhiConstants.ANNOTATION_INDEX_BY, tableDefinition.getAnnotations());
    if (indexByAnnotation != null) {
        throw new OperationNotSupportedException(SiddhiConstants.ANNOTATION_INDEX_BY + " annotation is not " + "supported anymore, please use @PrimaryKey or @Index annotations instead," + " at '" + tableDefinition.getId() + "'");
    }
    if (primaryKeyReferenceHolders != null || indexMetaData.size() > 0) {
        boolean isNumeric = false;
        if (primaryKeyReferenceHolders != null) {
            if (primaryKeyReferenceHolders.length == 1) {
                Attribute.Type type = tableDefinition.getAttributeType(primaryKeyReferenceHolders[0].getPrimaryKeyAttribute());
                if (type == Attribute.Type.DOUBLE || type == Attribute.Type.FLOAT || type == Attribute.Type.INT || type == Attribute.Type.LONG) {
                    isNumeric = true;
                }
            }
        }
        if (isCacheTable) {
            return new IndexEventHolderForCache(tableStreamEventFactory, eventConverter, primaryKeyReferenceHolders, isNumeric, indexMetaData, tableDefinition, siddhiAppContext);
        } else {
            return new IndexEventHolder(tableStreamEventFactory, eventConverter, primaryKeyReferenceHolders, isNumeric, indexMetaData, tableDefinition, siddhiAppContext);
        }
    } else {
        MetaStreamEvent metaStreamEvent = new MetaStreamEvent();
        for (Attribute attribute : tableDefinition.getAttributeList()) {
            metaStreamEvent.addOutputData(attribute);
        }
        StreamEventCloner streamEventCloner = new StreamEventCloner(metaStreamEvent, tableStreamEventFactory);
        return new ListEventHolder(tableStreamEventFactory, eventConverter, new StreamEventClonerHolder(streamEventCloner));
    }
}

Example 45 with MetaStreamEvent

use of io.siddhi.core.event.stream.MetaStreamEvent in project siddhi by wso2.

the class InputStreamParser method parse.

/**
 * Parse an InputStream returning corresponding StreamRuntime
 *
 * @param inputStream                input stream to be parsed
 * @param streamDefinitionMap        map containing user given stream definitions
 * @param tableDefinitionMap         table definition map
 * @param windowDefinitionMap        window definition map
 * @param aggregationDefinitionMap   aggregation definition map
 * @param tableMap                   Table Map
 * @param windowMap                  event window map
 * @param aggregationMap             aggregator map
 * @param executors                  List to hold VariableExpressionExecutors to update after query parsing
 * @param outputExpectsExpiredEvents is expired events sent as output
 * @param siddhiQueryContext         Siddhi query context.
 * @return StreamRuntime
 */
public static StreamRuntime parse(InputStream inputStream, Query query, 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, List<VariableExpressionExecutor> executors, boolean outputExpectsExpiredEvents, SiddhiQueryContext siddhiQueryContext) {
    if (inputStream instanceof BasicSingleInputStream || inputStream instanceof SingleInputStream) {
        SingleInputStream singleInputStream = (SingleInputStream) inputStream;
        ProcessStreamReceiver processStreamReceiver = new ProcessStreamReceiver(singleInputStream.getStreamId(), siddhiQueryContext);
        return SingleInputStreamParser.parseInputStream((SingleInputStream) inputStream, executors, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, new MetaStreamEvent(), processStreamReceiver, true, outputExpectsExpiredEvents, false, false, siddhiQueryContext);
    } else if (inputStream instanceof JoinInputStream) {
        return JoinInputStreamParser.parseInputStream(((JoinInputStream) inputStream), query, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, executors, outputExpectsExpiredEvents, siddhiQueryContext);
    } else if (inputStream instanceof StateInputStream) {
        MetaStateEvent metaStateEvent = new MetaStateEvent(inputStream.getAllStreamIds().size());
        return StateInputStreamParser.parseInputStream(((StateInputStream) inputStream), metaStateEvent, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, executors, siddhiQueryContext);
    } else {
        throw new OperationNotSupportedException();
    }
}