Examples with VariableExpressionExecutor io.siddhi.core.executor.VariableExpressionExecutor used on opensource projects

Example 1 with VariableExpressionExecutor

use of io.siddhi.core.executor.VariableExpressionExecutor in project siddhi by wso2.

the class ExternalTimeBatchWindowProcessor method init.

@Override
protected StateFactory init(ExpressionExecutor[] attributeExpressionExecutors, ConfigReader configReader, StreamEventClonerHolder streamEventClonerHolder, boolean outputExpectsExpiredEvents, boolean findToBeExecuted, SiddhiQueryContext siddhiQueryContext) {
    this.outputExpectsExpiredEvents = outputExpectsExpiredEvents;
    this.findToBeExecuted = findToBeExecuted;
    if (attributeExpressionExecutors.length >= 2 && attributeExpressionExecutors.length <= 5) {
        if (!(attributeExpressionExecutors[0] instanceof VariableExpressionExecutor)) {
            throw new SiddhiAppValidationException("ExternalTime window's 1st parameter timestamp should be a" + " variable, but found " + attributeExpressionExecutors[0].getClass());
        }
        if (attributeExpressionExecutors[0].getReturnType() != Attribute.Type.LONG) {
            throw new SiddhiAppValidationException("ExternalTime window's 1st parameter timestamp should be " + "type long, but found " + attributeExpressionExecutors[0].getReturnType());
        }
        timestampExpressionExecutor = (VariableExpressionExecutor) attributeExpressionExecutors[0];
        if (attributeExpressionExecutors[1].getReturnType() == Attribute.Type.INT) {
            timeToKeep = (Integer) ((ConstantExpressionExecutor) attributeExpressionExecutors[1]).getValue();
        } else if (attributeExpressionExecutors[1].getReturnType() == Attribute.Type.LONG) {
            timeToKeep = (Long) ((ConstantExpressionExecutor) attributeExpressionExecutors[1]).getValue();
        } else {
            throw new SiddhiAppValidationException("ExternalTimeBatch window's 2nd parameter windowTime " + "should be either int or long, but found " + attributeExpressionExecutors[1].getReturnType());
        }
        if (attributeExpressionExecutors.length >= 3) {
            isStartTimeEnabled = true;
            if ((attributeExpressionExecutors[2] instanceof ConstantExpressionExecutor)) {
                if (attributeExpressionExecutors[2].getReturnType() == Attribute.Type.INT) {
                    commonStartTime = Integer.parseInt(String.valueOf(((ConstantExpressionExecutor) attributeExpressionExecutors[2]).getValue()));
                } else if (attributeExpressionExecutors[2].getReturnType() == Attribute.Type.LONG) {
                    commonStartTime = Long.parseLong(String.valueOf(((ConstantExpressionExecutor) attributeExpressionExecutors[2]).getValue()));
                } else {
                    throw new SiddhiAppValidationException("ExternalTimeBatch window's 3rd parameter " + "startTime should either be a constant (of type int or long) or an attribute (of type" + " long), but found " + attributeExpressionExecutors[2].getReturnType());
                }
            } else if (attributeExpressionExecutors[2].getReturnType() != Attribute.Type.LONG) {
                throw new SiddhiAppValidationException("ExternalTimeBatch window's 3rd parameter startTime " + "should either be a constant (of type int or long) or an attribute (of type long), but " + "found " + attributeExpressionExecutors[2].getReturnType());
            } else {
                startTimeAsVariable = attributeExpressionExecutors[2];
            }
        }
        if (attributeExpressionExecutors.length >= 4) {
            if (attributeExpressionExecutors[3].getReturnType() == Attribute.Type.INT) {
                schedulerTimeout = Integer.parseInt(String.valueOf(((ConstantExpressionExecutor) attributeExpressionExecutors[3]).getValue()));
            } else if (attributeExpressionExecutors[3].getReturnType() == Attribute.Type.LONG) {
                schedulerTimeout = Long.parseLong(String.valueOf(((ConstantExpressionExecutor) attributeExpressionExecutors[3]).getValue()));
            } else {
                throw new SiddhiAppValidationException("ExternalTimeBatch window's 4th parameter timeout " + "should be either int or long, but found " + attributeExpressionExecutors[3].getReturnType());
            }
        }
        if (attributeExpressionExecutors.length == 5) {
            if (attributeExpressionExecutors[4].getReturnType() == Attribute.Type.BOOL) {
                replaceTimestampWithBatchEndTime = Boolean.parseBoolean(String.valueOf(((ConstantExpressionExecutor) attributeExpressionExecutors[4]).getValue()));
            } else {
                throw new SiddhiAppValidationException("ExternalTimeBatch window's 5th parameter " + "replaceTimestampWithBatchEndTime should be bool, but found " + attributeExpressionExecutors[4].getReturnType());
            }
        }
    } else {
        throw new SiddhiAppValidationException("ExternalTimeBatch window should only have two to five " + "parameters (<long> timestamp, <int|long|time> windowTime, <long> startTime, <int|long|time> " + "timeout, <bool> replaceTimestampWithBatchEndTime), but found " + attributeExpressionExecutors.length + " input attributes");
    }
    return () -> new WindowState(outputExpectsExpiredEvents, schedulerTimeout, commonStartTime);
}

Example 2 with VariableExpressionExecutor

use of io.siddhi.core.executor.VariableExpressionExecutor in project siddhi by wso2.

the class EventTestCase method testConditionExpressionExecutorValidation.

@Test(expectedExceptions = OperationNotSupportedException.class)
public void testConditionExpressionExecutorValidation() {
    // StreamDefinition streamDefinition = StreamDefinition.id("cseEventStream").attribute("symbol", Attribute
    // .Type.STRING).attribute("price", Attribute.Type.FLOAT).attribute("volume", Attribute.Type.INT);
    VariableExpressionExecutor volumeVariableExpressionExecutor = new VariableExpressionExecutor(new Attribute("volume", Attribute.Type.INT), 0, 0);
    volumeVariableExpressionExecutor.setPosition(new int[] { 0, SiddhiConstants.UNKNOWN_STATE, SiddhiConstants.OUTPUT_DATA_INDEX, 2 });
    ConstantExpressionExecutor constantExpressionExecutor = new ConstantExpressionExecutor(10f, Attribute.Type.FLOAT);
    ExpressionExecutor compareGreaterThanExecutor = new GreaterThanCompareConditionExpressionExecutorIntInt(new ConstantExpressionExecutor(10, Attribute.Type.INT), volumeVariableExpressionExecutor);
    ExpressionExecutor andExecutor = new AndConditionExpressionExecutor(constantExpressionExecutor, compareGreaterThanExecutor);
}

Example 3 with VariableExpressionExecutor

use of io.siddhi.core.executor.VariableExpressionExecutor in project siddhi by wso2.

the class AggregationRuntime method compileExpression.

public CompiledCondition compileExpression(Expression expression, Within within, Expression per, List<Variable> queryGroupByList, MatchingMetaInfoHolder matchingMetaInfoHolder, List<VariableExpressionExecutor> variableExpressionExecutors, Map<String, Table> tableMap, SiddhiQueryContext siddhiQueryContext) {
    String aggregationName = aggregationDefinition.getId();
    boolean isOptimisedTableLookup = isOptimisedLookup;
    Map<TimePeriod.Duration, CompiledCondition> withinTableCompiledConditions = new HashMap<>();
    CompiledCondition withinInMemoryCompileCondition;
    CompiledCondition onCompiledCondition;
    List<Attribute> additionalAttributes = new ArrayList<>();
    // Define additional attribute list
    additionalAttributes.add(new Attribute("_START", Attribute.Type.LONG));
    additionalAttributes.add(new Attribute("_END", Attribute.Type.LONG));
    int lowerGranularitySize = this.activeIncrementalDurations.size() - 1;
    List<String> lowerGranularityAttributes = new ArrayList<>();
    if (isDistributed) {
        // for values calculated in in-memory in the shards
        for (int i = 0; i < lowerGranularitySize; i++) {
            String attributeName = "_AGG_TIMESTAMP_FILTER_" + i;
            additionalAttributes.add(new Attribute(attributeName, Attribute.Type.LONG));
            lowerGranularityAttributes.add(attributeName);
        }
    }
    // Get table definition. Table definitions for all the tables used to persist aggregates are similar.
    // Therefore it's enough to get the definition from one table.
    AbstractDefinition tableDefinition = aggregationTables.get(activeIncrementalDurations.get(0)).getTableDefinition();
    boolean isOnDemandQuery = matchingMetaInfoHolder.getMetaStateEvent().getMetaStreamEvents().length == 1;
    // Alter existing meta stream event or create new one if a meta stream doesn't exist
    // After calling this method the original MatchingMetaInfoHolder's meta stream event would be altered
    // Alter meta info holder to contain stream event and aggregate both when it's a on-demand query
    MetaStreamEvent metaStreamEventForTableLookups;
    if (isOnDemandQuery) {
        metaStreamEventForTableLookups = alterMetaStreamEvent(true, new MetaStreamEvent(), additionalAttributes);
        matchingMetaInfoHolder = alterMetaInfoHolderForOnDemandQuery(metaStreamEventForTableLookups, matchingMetaInfoHolder);
    } else {
        metaStreamEventForTableLookups = alterMetaStreamEvent(false, matchingMetaInfoHolder.getMetaStateEvent().getMetaStreamEvent(0), additionalAttributes);
    }
    // Create new MatchingMetaInfoHolder containing newMetaStreamEventWithStartEnd and table meta event
    String aggReferenceId = matchingMetaInfoHolder.getMetaStateEvent().getMetaStreamEvent(1).getInputReferenceId();
    String referenceName = aggReferenceId == null ? aggregationName : aggReferenceId;
    MetaStreamEvent metaStoreEventForTableLookups = createMetaStoreEvent(tableDefinition, referenceName);
    // Create new MatchingMetaInfoHolder containing metaStreamEventForTableLookups and table meta event
    MatchingMetaInfoHolder metaInfoHolderForTableLookups = createNewStreamTableMetaInfoHolder(metaStreamEventForTableLookups, metaStoreEventForTableLookups);
    // Create per expression executor
    ExpressionExecutor perExpressionExecutor;
    if (per != null) {
        perExpressionExecutor = ExpressionParser.parseExpression(per, matchingMetaInfoHolder.getMetaStateEvent(), matchingMetaInfoHolder.getCurrentState(), tableMap, variableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
        if (perExpressionExecutor.getReturnType() != Attribute.Type.STRING) {
            throw new SiddhiAppCreationException("Query " + siddhiQueryContext.getName() + "'s per value expected a string but found " + perExpressionExecutor.getReturnType(), per.getQueryContextStartIndex(), per.getQueryContextEndIndex());
        }
        // Additional Per time function verification at compile time if it is a constant
        if (perExpressionExecutor instanceof ConstantExpressionExecutor) {
            String perValue = ((ConstantExpressionExecutor) perExpressionExecutor).getValue().toString();
            try {
                normalizeDuration(perValue);
            } catch (SiddhiAppValidationException e) {
                throw new SiddhiAppValidationException("Aggregation Query's per value is expected to be of a valid time function of the " + "following " + TimePeriod.Duration.SECONDS + ", " + TimePeriod.Duration.MINUTES + ", " + TimePeriod.Duration.HOURS + ", " + TimePeriod.Duration.DAYS + ", " + TimePeriod.Duration.MONTHS + ", " + TimePeriod.Duration.YEARS + ".");
            }
        }
    } else {
        throw new SiddhiAppCreationException("Syntax Error: Aggregation join query must contain a `per` " + "definition for granularity");
    }
    // Create start and end time expression
    Expression startEndTimeExpression;
    ExpressionExecutor startTimeEndTimeExpressionExecutor;
    if (within != null) {
        if (within.getTimeRange().size() == 1) {
            startEndTimeExpression = new AttributeFunction("incrementalAggregator", "startTimeEndTime", within.getTimeRange().get(0));
        } else {
            // within.getTimeRange().size() == 2
            startEndTimeExpression = new AttributeFunction("incrementalAggregator", "startTimeEndTime", within.getTimeRange().get(0), within.getTimeRange().get(1));
        }
        startTimeEndTimeExpressionExecutor = ExpressionParser.parseExpression(startEndTimeExpression, matchingMetaInfoHolder.getMetaStateEvent(), matchingMetaInfoHolder.getCurrentState(), tableMap, variableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
    } else {
        throw new SiddhiAppCreationException("Syntax Error : Aggregation read query must contain a `within` " + "definition for filtering of aggregation data.");
    }
    // Create within expression
    Expression timeFilterExpression;
    if (isProcessingOnExternalTime) {
        timeFilterExpression = Expression.variable(AGG_EXTERNAL_TIMESTAMP_COL);
    } else {
        timeFilterExpression = Expression.variable(AGG_START_TIMESTAMP_COL);
    }
    Expression withinExpression;
    Expression start = Expression.variable(additionalAttributes.get(0).getName());
    Expression end = Expression.variable(additionalAttributes.get(1).getName());
    Expression compareWithStartTime = Compare.compare(start, Compare.Operator.LESS_THAN_EQUAL, timeFilterExpression);
    Expression compareWithEndTime = Compare.compare(timeFilterExpression, Compare.Operator.LESS_THAN, end);
    withinExpression = Expression.and(compareWithStartTime, compareWithEndTime);
    List<ExpressionExecutor> timestampFilterExecutors = new ArrayList<>();
    if (isDistributed) {
        for (int i = 0; i < lowerGranularitySize; i++) {
            Expression[] expressionArray = new Expression[] { new AttributeFunction("", "currentTimeMillis", null), Expression.value(this.activeIncrementalDurations.get(i + 1).toString()) };
            Expression filterExpression = new AttributeFunction("incrementalAggregator", "getAggregationStartTime", expressionArray);
            timestampFilterExecutors.add(ExpressionParser.parseExpression(filterExpression, matchingMetaInfoHolder.getMetaStateEvent(), matchingMetaInfoHolder.getCurrentState(), tableMap, variableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext));
        }
    }
    // Create compile condition per each table used to persist aggregates.
    // These compile conditions are used to check whether the aggregates in tables are within the given duration.
    // Combine with and on condition for table query
    boolean shouldApplyReducedCondition = false;
    Expression reducedExpression = null;
    // Check if there is no on conditions
    if (!(expression instanceof BoolConstant)) {
        // For abstract queryable table
        AggregationExpressionBuilder aggregationExpressionBuilder = new AggregationExpressionBuilder(expression);
        AggregationExpressionVisitor expressionVisitor = new AggregationExpressionVisitor(metaStreamEventForTableLookups.getInputReferenceId(), metaStreamEventForTableLookups.getLastInputDefinition().getAttributeList(), this.tableAttributesNameList);
        aggregationExpressionBuilder.build(expressionVisitor);
        shouldApplyReducedCondition = expressionVisitor.applyReducedExpression();
        reducedExpression = expressionVisitor.getReducedExpression();
    }
    Expression withinExpressionTable;
    if (shouldApplyReducedCondition) {
        withinExpressionTable = Expression.and(withinExpression, reducedExpression);
    } else {
        withinExpressionTable = withinExpression;
    }
    List<Variable> queryGroupByListCopy = new ArrayList<>(queryGroupByList);
    Variable timestampVariable = new Variable(AGG_START_TIMESTAMP_COL);
    List<String> queryGroupByNamesList = queryGroupByListCopy.stream().map(Variable::getAttributeName).collect(Collectors.toList());
    boolean queryGroupByContainsTimestamp = queryGroupByNamesList.remove(AGG_START_TIMESTAMP_COL);
    boolean isQueryGroupBySameAsAggGroupBy = queryGroupByListCopy.isEmpty() || (queryGroupByListCopy.contains(timestampVariable) && queryGroupByNamesList.equals(groupByVariablesList));
    List<VariableExpressionExecutor> variableExpExecutorsForTableLookups = new ArrayList<>();
    Map<TimePeriod.Duration, CompiledSelection> withinTableCompiledSelection = new HashMap<>();
    if (isOptimisedTableLookup) {
        Selector selector = Selector.selector();
        List<Variable> groupByList = new ArrayList<>();
        if (!isQueryGroupBySameAsAggGroupBy) {
            if (queryGroupByContainsTimestamp) {
                if (isProcessingOnExternalTime) {
                    groupByList.add(new Variable(AGG_EXTERNAL_TIMESTAMP_COL));
                } else {
                    groupByList.add(new Variable(AGG_START_TIMESTAMP_COL));
                }
                // Remove timestamp to process the rest
                queryGroupByListCopy.remove(timestampVariable);
            }
            for (Variable queryGroupBy : queryGroupByListCopy) {
                String referenceId = queryGroupBy.getStreamId();
                if (referenceId == null) {
                    if (tableAttributesNameList.contains(queryGroupBy.getAttributeName())) {
                        groupByList.add(queryGroupBy);
                    }
                } else if (referenceId.equalsIgnoreCase(referenceName)) {
                    groupByList.add(queryGroupBy);
                }
            }
            // If query group bys are based on joining stream
            if (groupByList.isEmpty()) {
                isQueryGroupBySameAsAggGroupBy = true;
            }
        }
        groupByList.forEach((groupBy) -> groupBy.setStreamId(referenceName));
        selector.addGroupByList(groupByList);
        List<OutputAttribute> selectorList;
        if (!isQueryGroupBySameAsAggGroupBy) {
            selectorList = constructSelectorList(isProcessingOnExternalTime, isDistributed, isLatestEventColAdded, baseAggregatorBeginIndex, groupByVariablesList.size(), finalBaseExpressionsList, tableDefinition, groupByList);
        } else {
            selectorList = defaultSelectorList;
        }
        for (OutputAttribute outputAttribute : selectorList) {
            if (outputAttribute.getExpression() instanceof Variable) {
                ((Variable) outputAttribute.getExpression()).setStreamId(referenceName);
            } else {
                for (Expression parameter : ((AttributeFunction) outputAttribute.getExpression()).getParameters()) {
                    ((Variable) parameter).setStreamId(referenceName);
                }
            }
        }
        selector.addSelectionList(selectorList);
        try {
            aggregationTables.entrySet().forEach((durationTableEntry -> {
                CompiledSelection compiledSelection = ((QueryableProcessor) durationTableEntry.getValue()).compileSelection(selector, tableDefinition.getAttributeList(), metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
                withinTableCompiledSelection.put(durationTableEntry.getKey(), compiledSelection);
            }));
        } catch (SiddhiAppCreationException | SiddhiAppValidationException | QueryableRecordTableException e) {
            if (LOG.isDebugEnabled()) {
                LOG.debug("Aggregation Query optimization failed for aggregation: '" + aggregationName + "'. " + "Creating table lookup query in normal mode. Reason for failure: " + e.getMessage(), e);
            }
            isOptimisedTableLookup = false;
        }
    }
    for (Map.Entry<TimePeriod.Duration, Table> entry : aggregationTables.entrySet()) {
        CompiledCondition withinTableCompileCondition = entry.getValue().compileCondition(withinExpressionTable, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
        withinTableCompiledConditions.put(entry.getKey(), withinTableCompileCondition);
    }
    // Create compile condition for in-memory data.
    // This compile condition is used to check whether the running aggregates (in-memory data)
    // are within given duration
    withinInMemoryCompileCondition = OperatorParser.constructOperator(new ComplexEventChunk<>(), withinExpression, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
    // Create compile condition for in-memory data, in case of distributed
    // Look at the lower level granularities
    Map<TimePeriod.Duration, CompiledCondition> withinTableLowerGranularityCompileCondition = new HashMap<>();
    Expression lowerGranularity;
    if (isDistributed) {
        for (int i = 0; i < lowerGranularitySize; i++) {
            if (isProcessingOnExternalTime) {
                lowerGranularity = Expression.and(Expression.compare(Expression.variable("AGG_TIMESTAMP"), Compare.Operator.GREATER_THAN_EQUAL, Expression.variable(lowerGranularityAttributes.get(i))), withinExpressionTable);
            } else {
                if (shouldApplyReducedCondition) {
                    lowerGranularity = Expression.and(Expression.compare(Expression.variable("AGG_TIMESTAMP"), Compare.Operator.GREATER_THAN_EQUAL, Expression.variable(lowerGranularityAttributes.get(i))), reducedExpression);
                } else {
                    lowerGranularity = Expression.compare(Expression.variable("AGG_TIMESTAMP"), Compare.Operator.GREATER_THAN_EQUAL, Expression.variable(lowerGranularityAttributes.get(i)));
                }
            }
            TimePeriod.Duration duration = this.activeIncrementalDurations.get(i);
            String tableName = aggregationName + "_" + duration.toString();
            CompiledCondition compiledCondition = tableMap.get(tableName).compileCondition(lowerGranularity, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
            withinTableLowerGranularityCompileCondition.put(duration, compiledCondition);
        }
    }
    QueryParserHelper.reduceMetaComplexEvent(metaInfoHolderForTableLookups.getMetaStateEvent());
    // On compile condition.
    // After finding all the aggregates belonging to within duration, the final on condition (given as
    // "on stream1.name == aggregator.nickName ..." in the join query) must be executed on that data.
    // This condition is used for that purpose.
    onCompiledCondition = OperatorParser.constructOperator(new ComplexEventChunk<>(), expression, matchingMetaInfoHolder, variableExpressionExecutors, tableMap, siddhiQueryContext);
    return new IncrementalAggregateCompileCondition(isOnDemandQuery, aggregationName, isProcessingOnExternalTime, isDistributed, activeIncrementalDurations, aggregationTables, outputExpressionExecutors, isOptimisedTableLookup, withinTableCompiledSelection, withinTableCompiledConditions, withinInMemoryCompileCondition, withinTableLowerGranularityCompileCondition, onCompiledCondition, additionalAttributes, perExpressionExecutor, startTimeEndTimeExpressionExecutor, timestampFilterExecutors, aggregateMetaSteamEvent, matchingMetaInfoHolder, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups);
}

Example 4 with VariableExpressionExecutor

use of io.siddhi.core.executor.VariableExpressionExecutor in project siddhi by wso2.

the class IncrementalDataAggregator method aggregateInMemoryData.

public ComplexEventChunk<StreamEvent> aggregateInMemoryData(Map<TimePeriod.Duration, Executor> incrementalExecutorMap) {
    int startIndex = incrementalDurations.indexOf(durationToAggregate);
    Set<String> groupByKeys = new HashSet<>();
    for (int k = startIndex; k >= 0; k--) {
        TimePeriod.Duration duration = incrementalDurations.get(k);
        Executor incrementalExecutor = incrementalExecutorMap.get(duration);
        if (incrementalExecutor instanceof IncrementalExecutor) {
            BaseIncrementalValueStore aBaseIncrementalValueStore = ((IncrementalExecutor) incrementalExecutor).getBaseIncrementalValueStore();
            Map<String, StreamEvent> groupedByEvents = aBaseIncrementalValueStore.getGroupedByEvents();
            for (Map.Entry<String, StreamEvent> eventEntry : groupedByEvents.entrySet()) {
                long startTimeOfAggregates = IncrementalTimeConverterUtil.getStartTimeOfAggregates(eventEntry.getValue().getTimestamp(), durationToAggregate, timeZone);
                String groupByKey = eventEntry.getKey() + "-" + startTimeOfAggregates;
                synchronized (this) {
                    groupByKeys.add(groupByKey);
                    SiddhiAppContext.startGroupByFlow(groupByKey);
                    ValueState state = (ValueState) valueStateHolder.getState();
                    try {
                        boolean shouldUpdate = true;
                        if (shouldUpdateTimestamp != null) {
                            shouldUpdate = shouldUpdate(shouldUpdateTimestamp.execute(eventEntry.getValue()), state);
                        } else {
                            state.lastTimestamp = oldestEventTimestamp;
                        }
                        // keeping timestamp value location as null
                        for (int i = 0; i < baseExecutorsForFind.size(); i++) {
                            ExpressionExecutor expressionExecutor = baseExecutorsForFind.get(i);
                            if (shouldUpdate) {
                                state.setValue(expressionExecutor.execute(eventEntry.getValue()), i + 1);
                            } else if (!(expressionExecutor instanceof VariableExpressionExecutor)) {
                                state.setValue(expressionExecutor.execute(eventEntry.getValue()), i + 1);
                            }
                        }
                    } finally {
                        valueStateHolder.returnState(state);
                        SiddhiAppContext.stopGroupByFlow();
                    }
                }
            }
        }
    }
    // clean all executors
    for (String groupByKey : groupByKeys) {
        SiddhiAppContext.startGroupByFlow(groupByKey);
        try {
            for (ExpressionExecutor expressionExecutor : baseExecutorsForFind) {
                expressionExecutor.execute(resetEvent);
            }
        } finally {
            SiddhiAppContext.stopGroupByFlow();
        }
    }
    return getProcessedEventChunk();
}

Example 5 with VariableExpressionExecutor

use of io.siddhi.core.executor.VariableExpressionExecutor in project siddhi by wso2.

the class OutOfOrderEventsDataAggregator method aggregateData.

public ComplexEventChunk<StreamEvent> aggregateData(ComplexEventChunk<StreamEvent> retrievedData) {
    Set<String> groupByKeys = new HashSet<>();
    while (retrievedData.hasNext()) {
        StreamEvent streamEvent = retrievedData.next();
        String groupByKey = groupByKeyGenerator.constructEventKey(streamEvent);
        groupByKeys.add(groupByKey);
        SiddhiAppContext.startGroupByFlow(groupByKey);
        synchronized (this) {
            ValueState state = (ValueState) valueStateHolder.getState();
            try {
                boolean shouldUpdate = true;
                if (shouldUpdateTimestamp != null) {
                    shouldUpdate = shouldUpdate(shouldUpdateTimestamp.execute(streamEvent), state);
                }
                for (int i = 0; i < baseExecutors.size(); i++) {
                    // keeping timestamp value location as null
                    ExpressionExecutor expressionExecutor = baseExecutors.get(i);
                    if (shouldUpdate) {
                        state.setValue(expressionExecutor.execute(streamEvent), i + 1);
                    } else if (!(expressionExecutor instanceof VariableExpressionExecutor)) {
                        state.setValue(expressionExecutor.execute(streamEvent), i + 1);
                    }
                }
            } finally {
                valueStateHolder.returnState(state);
                SiddhiAppContext.stopGroupByFlow();
            }
        }
    }
    // clean all executors
    for (String groupByKey : groupByKeys) {
        SiddhiAppContext.startGroupByFlow(groupByKey);
        try {
            for (ExpressionExecutor expressionExecutor : baseExecutors) {
                expressionExecutor.execute(resetEvent);
            }
        } finally {
            SiddhiAppContext.stopGroupByFlow();
        }
    }
    return createEventChunkFromAggregatedData();
}