Examples with AGG_START_TIMESTAMP_COL io.siddhi.core.util.SiddhiConstants.AGG_START_TIMESTAMP_COL used on opensource projects

Example 1 with AGG_START_TIMESTAMP_COL

use of io.siddhi.core.util.SiddhiConstants.AGG_START_TIMESTAMP_COL 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 2 with AGG_START_TIMESTAMP_COL

use of io.siddhi.core.util.SiddhiConstants.AGG_START_TIMESTAMP_COL 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;
    }
}