Examples with ThroughputTracker org.ballerinalang.siddhi.core.util.statistics.ThroughputTracker used on opensource projects

Example 1 with ThroughputTracker

use of org.ballerinalang.siddhi.core.util.statistics.ThroughputTracker in project ballerina by ballerina-lang.

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) {
    if (aggregationDefinition == null) {
        throw new SiddhiAppCreationException("AggregationDefinition instance is null. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'");
    }
    if (aggregationDefinition.getTimePeriod() == null) {
        throw new SiddhiAppCreationException("AggregationDefinition '" + 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("AggregationDefinition '" + 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");
    }
    try {
        List<VariableExpressionExecutor> incomingVariableExpressionExecutors = new ArrayList<>();
        String aggregatorName = aggregationDefinition.getId();
        StreamRuntime streamRuntime = InputStreamParser.parse(aggregationDefinition.getBasicSingleInputStream(), siddhiAppContext, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, incomingVariableExpressionExecutors, null, false, aggregatorName);
        // 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.initializeAfterWindowData();
        List<ExpressionExecutor> incomingExpressionExecutors = new ArrayList<>();
        List<IncrementalAttributeAggregator> incrementalAttributeAggregators = new ArrayList<>();
        List<Variable> groupByVariableList = aggregationDefinition.getSelector().getGroupByList();
        boolean isProcessingOnExternalTime = aggregationDefinition.getAggregateAttribute() != null;
        // Expressions to get
        List<Expression> outputExpressions = new ArrayList<>();
        // final aggregate outputs. e.g avg = sum/count
        // Expression executors to get
        List<ExpressionExecutor> outputExpressionExecutors = new ArrayList<>();
        // final aggregate outputs. e.g avg = sum/count
        populateIncomingAggregatorsAndExecutors(aggregationDefinition, siddhiAppContext, tableMap, incomingVariableExpressionExecutors, aggregatorName, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators, groupByVariableList, outputExpressions);
        int baseAggregatorBeginIndex = incomingMetaStreamEvent.getOutputData().size();
        List<Expression> finalBaseAggregators = getFinalBaseAggregators(siddhiAppContext, tableMap, incomingVariableExpressionExecutors, aggregatorName, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators);
        StreamDefinition incomingOutputStreamDefinition = StreamDefinition.id("");
        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<>();
        boolean groupBy = aggregationDefinition.getSelector().getGroupByList().size() != 0;
        List<ExpressionExecutor> processExpressionExecutors = constructProcessExpressionExecutors(siddhiAppContext, tableMap, aggregatorName, baseAggregatorBeginIndex, finalBaseAggregators, incomingOutputStreamDefinition, processedMetaStreamEvent, processVariableExpressionExecutors, groupBy);
        outputExpressionExecutors.addAll(outputExpressions.stream().map(expression -> ExpressionParser.parseExpression(expression, processedMetaStreamEvent, 0, tableMap, processVariableExpressionExecutors, siddhiAppContext, groupBy, 0, aggregatorName)).collect(Collectors.toList()));
        // Create group by key generator
        GroupByKeyGenerator groupByKeyGenerator = null;
        if (groupBy) {
            groupByKeyGenerator = new GroupByKeyGenerator(groupByVariableList, processedMetaStreamEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, processVariableExpressionExecutors, siddhiAppContext, aggregatorName);
        }
        // Create new scheduler
        EntryValveExecutor entryValveExecutor = new EntryValveExecutor(siddhiAppContext);
        LockWrapper lockWrapper = new LockWrapper(aggregatorName);
        lockWrapper.setLock(new ReentrantLock());
        Scheduler scheduler = SchedulerParser.parse(siddhiAppContext.getScheduledExecutorService(), entryValveExecutor, siddhiAppContext);
        scheduler.init(lockWrapper, aggregatorName);
        scheduler.setStreamEventPool(new StreamEventPool(processedMetaStreamEvent, 10));
        QueryParserHelper.reduceMetaComplexEvent(incomingMetaStreamEvent);
        QueryParserHelper.reduceMetaComplexEvent(processedMetaStreamEvent);
        QueryParserHelper.updateVariablePosition(incomingMetaStreamEvent, incomingVariableExpressionExecutors);
        QueryParserHelper.updateVariablePosition(processedMetaStreamEvent, processVariableExpressionExecutors);
        List<TimePeriod.Duration> incrementalDurations = getSortedPeriods(aggregationDefinition.getTimePeriod());
        Map<TimePeriod.Duration, Table> aggregationTables = initDefaultTables(aggregatorName, incrementalDurations, processedMetaStreamEvent.getOutputStreamDefinition(), siddhiAppRuntimeBuilder, aggregationDefinition.getAnnotations(), groupByVariableList);
        int bufferSize = 0;
        Element element = AnnotationHelper.getAnnotationElement(SiddhiConstants.ANNOTATION_BUFFER_SIZE, null, aggregationDefinition.getAnnotations());
        if (element != null) {
            try {
                bufferSize = Integer.parseInt(element.getValue());
            } catch (NumberFormatException e) {
                throw new SiddhiAppCreationException(e.getMessage() + ": BufferSize must be an integer");
            }
        }
        if (bufferSize > 0) {
            TimePeriod.Duration rootDuration = incrementalDurations.get(0);
            if (rootDuration == TimePeriod.Duration.MONTHS || rootDuration == TimePeriod.Duration.YEARS) {
                throw new SiddhiAppCreationException("A buffer size greater than 0 can be provided, only when the " + "first duration value is seconds, minutes, hours or days");
            }
            if (!isProcessingOnExternalTime) {
                throw new SiddhiAppCreationException("Buffer size cannot be specified when events are aggregated " + "based on event arrival time.");
            // Buffer size is used to process out of order events. However, events would never be out of
            // order if they are processed based on event arrival time.
            }
        } else if (bufferSize < 0) {
            throw new SiddhiAppCreationException("Expected a positive integer as the buffer size, but found " + bufferSize + " as the provided value");
        }
        boolean ignoreEventsOlderThanBuffer = false;
        element = AnnotationHelper.getAnnotationElement(SiddhiConstants.ANNOTATION_IGNORE_EVENTS_OLDER_THAN_BUFFER, null, aggregationDefinition.getAnnotations());
        if (element != null) {
            if (element.getValue().equalsIgnoreCase("true")) {
                ignoreEventsOlderThanBuffer = true;
            } else if (!element.getValue().equalsIgnoreCase("false")) {
                throw new SiddhiAppCreationException("IgnoreEventsOlderThanBuffer value must " + "be true or false");
            }
        }
        Map<TimePeriod.Duration, IncrementalExecutor> incrementalExecutorMap = buildIncrementalExecutors(isProcessingOnExternalTime, processedMetaStreamEvent, processExpressionExecutors, groupByKeyGenerator, bufferSize, ignoreEventsOlderThanBuffer, incrementalDurations, aggregationTables, siddhiAppContext, aggregatorName);
        // Recreate in-memory data from tables
        RecreateInMemoryData recreateInMemoryData = new RecreateInMemoryData(incrementalDurations, aggregationTables, incrementalExecutorMap, siddhiAppContext, processedMetaStreamEvent, tableMap, windowMap, aggregationMap);
        IncrementalExecutor rootIncrementalExecutor = incrementalExecutorMap.get(incrementalDurations.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(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_FIND);
            latencyTrackerInsert = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_INSERT);
            throughputTrackerFind = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_FIND);
            throughputTrackerInsert = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_INSERT);
        }
        streamRuntime.setCommonProcessor(new IncrementalAggregationProcessor(rootIncrementalExecutor, incomingExpressionExecutors, processedMetaStreamEvent, latencyTrackerInsert, throughputTrackerInsert, siddhiAppContext));
        List<ExpressionExecutor> baseExecutors = cloneExpressionExecutors(processExpressionExecutors);
        ExpressionExecutor timestampExecutor = baseExecutors.remove(0);
        return new AggregationRuntime(aggregationDefinition, incrementalExecutorMap, aggregationTables, ((SingleStreamRuntime) streamRuntime), entryValveExecutor, incrementalDurations, siddhiAppContext, baseExecutors, timestampExecutor, processedMetaStreamEvent, outputExpressionExecutors, latencyTrackerFind, throughputTrackerFind, recreateInMemoryData);
    } catch (Throwable t) {
        ExceptionUtil.populateQueryContext(t, aggregationDefinition, siddhiAppContext);
        throw t;
    }
}

Example 2 with ThroughputTracker

use of org.ballerinalang.siddhi.core.util.statistics.ThroughputTracker in project ballerina by ballerina-lang.

the class QueryParserHelper method createThroughputTracker.

public static ThroughputTracker createThroughputTracker(SiddhiAppContext siddhiAppContext, String name, String type, String function) {
    ThroughputTracker throughputTracker = null;
    if (siddhiAppContext.getStatisticsManager() != null) {
        String metricName = siddhiAppContext.getSiddhiContext().getStatisticsConfiguration().getMetricPrefix() + SiddhiConstants.METRIC_DELIMITER + SiddhiConstants.METRIC_INFIX_SIDDHI_APPS + SiddhiConstants.METRIC_DELIMITER + siddhiAppContext.getName() + SiddhiConstants.METRIC_DELIMITER + SiddhiConstants.METRIC_INFIX_SIDDHI + SiddhiConstants.METRIC_DELIMITER + type + SiddhiConstants.METRIC_DELIMITER + name;
        if (function != null) {
            metricName += SiddhiConstants.METRIC_DELIMITER + function;
        }
        metricName += SiddhiConstants.METRIC_DELIMITER + "throughput";
        boolean matchExist = false;
        for (String regex : siddhiAppContext.getIncludedMetrics()) {
            if (metricName.matches(regex)) {
                matchExist = true;
                break;
            }
        }
        if (matchExist) {
            throughputTracker = siddhiAppContext.getSiddhiContext().getStatisticsConfiguration().getFactory().createThroughputTracker(metricName, siddhiAppContext.getStatisticsManager());
        }
    }
    return throughputTracker;
}