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

Example 1 with LatencyTracker

use of org.ballerinalang.siddhi.core.util.statistics.LatencyTracker 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 LatencyTracker

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

the class QueryParser method parse.

/**
 * Parse a query and return corresponding QueryRuntime.
 *
 * @param query                    query to be parsed.
 * @param siddhiAppContext         associated Siddhi app context.
 * @param streamDefinitionMap      keyvalue containing user given stream definitions.
 * @param tableDefinitionMap       keyvalue containing table definitions.
 * @param windowDefinitionMap      keyvalue containing window definition map.
 * @param aggregationDefinitionMap keyvalue containing aggregation definition map.
 * @param tableMap                 keyvalue containing event tables.
 * @param aggregationMap           keyvalue containing aggrigation runtimes.
 * @param windowMap                keyvalue containing event window map.
 * @param lockSynchronizer         Lock synchronizer for sync the lock across queries.
 * @param queryIndex               query index to identify unknown query by number
 * @return queryRuntime
 */
public static QueryRuntime parse(Query query, SiddhiAppContext siddhiAppContext, Map<String, AbstractDefinition> streamDefinitionMap, Map<String, AbstractDefinition> tableDefinitionMap, Map<String, AbstractDefinition> windowDefinitionMap, Map<String, AbstractDefinition> aggregationDefinitionMap, Map<String, Table> tableMap, Map<String, AggregationRuntime> aggregationMap, Map<String, Window> windowMap, LockSynchronizer lockSynchronizer, String queryIndex) {
    List<VariableExpressionExecutor> executors = new ArrayList<VariableExpressionExecutor>();
    QueryRuntime queryRuntime;
    Element nameElement = null;
    LatencyTracker latencyTracker = null;
    LockWrapper lockWrapper = null;
    try {
        nameElement = AnnotationHelper.getAnnotationElement("info", "name", query.getAnnotations());
        String queryName = null;
        if (nameElement != null) {
            queryName = nameElement.getValue();
        } else {
            queryName = "query_" + queryIndex + "_" + UUID.randomUUID().toString();
        }
        latencyTracker = QueryParserHelper.createLatencyTracker(siddhiAppContext, queryName, SiddhiConstants.METRIC_INFIX_QUERIES, null);
        OutputStream.OutputEventType outputEventType = query.getOutputStream().getOutputEventType();
        boolean outputExpectsExpiredEvents = false;
        if (outputEventType != OutputStream.OutputEventType.CURRENT_EVENTS) {
            outputExpectsExpiredEvents = true;
        }
        StreamRuntime streamRuntime = InputStreamParser.parse(query.getInputStream(), siddhiAppContext, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, executors, latencyTracker, outputExpectsExpiredEvents, queryName);
        QuerySelector selector = SelectorParser.parse(query.getSelector(), query.getOutputStream(), siddhiAppContext, streamRuntime.getMetaComplexEvent(), tableMap, executors, queryName, SiddhiConstants.UNKNOWN_STATE);
        boolean isWindow = query.getInputStream() instanceof JoinInputStream;
        if (!isWindow && query.getInputStream() instanceof SingleInputStream) {
            for (StreamHandler streamHandler : ((SingleInputStream) query.getInputStream()).getStreamHandlers()) {
                if (streamHandler instanceof org.ballerinalang.siddhi.query.api.execution.query.input.handler.Window) {
                    isWindow = true;
                    break;
                }
            }
        }
        Element synchronizedElement = AnnotationHelper.getAnnotationElement("synchronized", null, query.getAnnotations());
        if (synchronizedElement != null) {
            if (!("false".equalsIgnoreCase(synchronizedElement.getValue()))) {
                // Query LockWrapper does not need a unique
                lockWrapper = new LockWrapper("");
                // id since it will
                // not be passed to the LockSynchronizer.
                // LockWrapper does not have a default lock
                lockWrapper.setLock(new ReentrantLock());
            }
        } else {
            if (isWindow || !(streamRuntime instanceof SingleStreamRuntime)) {
                if (streamRuntime instanceof JoinStreamRuntime) {
                    // If at least one Window is involved in the join, use the LockWrapper of that window
                    // for the query as well.
                    // If join is between two EventWindows, sync the locks of the LockWrapper of those windows
                    // and use either of them for query.
                    MetaStateEvent metaStateEvent = (MetaStateEvent) streamRuntime.getMetaComplexEvent();
                    MetaStreamEvent[] metaStreamEvents = metaStateEvent.getMetaStreamEvents();
                    if (metaStreamEvents[0].getEventType() == EventType.WINDOW && metaStreamEvents[1].getEventType() == EventType.WINDOW) {
                        LockWrapper leftLockWrapper = windowMap.get(metaStreamEvents[0].getLastInputDefinition().getId()).getLock();
                        LockWrapper rightLockWrapper = windowMap.get(metaStreamEvents[1].getLastInputDefinition().getId()).getLock();
                        if (!leftLockWrapper.equals(rightLockWrapper)) {
                            // Sync the lock across both wrappers
                            lockSynchronizer.sync(leftLockWrapper, rightLockWrapper);
                        }
                        // Can use either leftLockWrapper or rightLockWrapper since both of them will hold the
                        // same lock internally
                        // If either of their lock is updated later, the other lock also will be update by the
                        // LockSynchronizer.
                        lockWrapper = leftLockWrapper;
                    } else if (metaStreamEvents[0].getEventType() == EventType.WINDOW) {
                        // Share the same wrapper as the query lock wrapper
                        lockWrapper = windowMap.get(metaStreamEvents[0].getLastInputDefinition().getId()).getLock();
                    } else if (metaStreamEvents[1].getEventType() == EventType.WINDOW) {
                        // Share the same wrapper as the query lock wrapper
                        lockWrapper = windowMap.get(metaStreamEvents[1].getLastInputDefinition().getId()).getLock();
                    } else {
                        // Join does not contain any Window
                        // Query LockWrapper does not need a unique
                        lockWrapper = new LockWrapper("");
                        // id since
                        // it will not be passed to the LockSynchronizer.
                        // LockWrapper does not have a default lock
                        lockWrapper.setLock(new ReentrantLock());
                    }
                } else {
                    lockWrapper = new LockWrapper("");
                    lockWrapper.setLock(new ReentrantLock());
                }
            }
        }
        OutputRateLimiter outputRateLimiter = OutputParser.constructOutputRateLimiter(query.getOutputStream().getId(), query.getOutputRate(), query.getSelector().getGroupByList().size() != 0, isWindow, siddhiAppContext.getScheduledExecutorService(), siddhiAppContext, queryName);
        if (outputRateLimiter instanceof WrappedSnapshotOutputRateLimiter) {
            selector.setBatchingEnabled(false);
        }
        siddhiAppContext.addEternalReferencedHolder(outputRateLimiter);
        OutputCallback outputCallback = OutputParser.constructOutputCallback(query.getOutputStream(), streamRuntime.getMetaComplexEvent().getOutputStreamDefinition(), tableMap, windowMap, siddhiAppContext, !(streamRuntime instanceof SingleStreamRuntime), queryName);
        QueryParserHelper.reduceMetaComplexEvent(streamRuntime.getMetaComplexEvent());
        QueryParserHelper.updateVariablePosition(streamRuntime.getMetaComplexEvent(), executors);
        QueryParserHelper.initStreamRuntime(streamRuntime, streamRuntime.getMetaComplexEvent(), lockWrapper, queryName);
        selector.setEventPopulator(StateEventPopulatorFactory.constructEventPopulator(streamRuntime.getMetaComplexEvent()));
        queryRuntime = new QueryRuntime(query, siddhiAppContext, streamRuntime, selector, outputRateLimiter, outputCallback, streamRuntime.getMetaComplexEvent(), lockWrapper != null, queryName);
        if (outputRateLimiter instanceof WrappedSnapshotOutputRateLimiter) {
            selector.setBatchingEnabled(false);
            ((WrappedSnapshotOutputRateLimiter) outputRateLimiter).init(streamRuntime.getMetaComplexEvent().getOutputStreamDefinition().getAttributeList().size(), selector.getAttributeProcessorList(), streamRuntime.getMetaComplexEvent());
        }
        outputRateLimiter.init(siddhiAppContext, lockWrapper, queryName);
    } catch (DuplicateDefinitionException e) {
        if (nameElement != null) {
            throw new DuplicateDefinitionException(e.getMessageWithOutContext() + ", when creating query " + nameElement.getValue(), e, e.getQueryContextStartIndex(), e.getQueryContextEndIndex(), siddhiAppContext.getName(), siddhiAppContext.getSiddhiAppString());
        } else {
            throw new DuplicateDefinitionException(e.getMessage(), e, e.getQueryContextStartIndex(), e.getQueryContextEndIndex(), siddhiAppContext.getName(), siddhiAppContext.getSiddhiAppString());
        }
    } catch (Throwable t) {
        ExceptionUtil.populateQueryContext(t, query, siddhiAppContext);
        throw t;
    }
    return queryRuntime;
}

Example 3 with LatencyTracker

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

the class QueryParserHelper method createLatencyTracker.

public static LatencyTracker createLatencyTracker(SiddhiAppContext siddhiAppContext, String name, String type, String function) {
    LatencyTracker latencyTracker = 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 + "latency";
        boolean matchExist = false;
        for (String regex : siddhiAppContext.getIncludedMetrics()) {
            if (metricName.matches(regex)) {
                matchExist = true;
                break;
            }
        }
        if (matchExist) {
            latencyTracker = siddhiAppContext.getSiddhiContext().getStatisticsConfiguration().getFactory().createLatencyTracker(metricName, siddhiAppContext.getStatisticsManager());
        }
    }
    return latencyTracker;
}

Example 4 with LatencyTracker

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

the class SourceMapper method setInputHandler.

public final void setInputHandler(InputHandler inputHandler) {
    InputEventHandlerCallback inputEventHandlerCallback;
    if (sourceHandler != null) {
        sourceHandler.setInputHandler(inputHandler);
        inputEventHandlerCallback = sourceHandler;
    } else {
        inputEventHandlerCallback = new PassThroughSourceHandler(inputHandler);
    }
    LatencyTracker mapperLatencyTracker = null;
    this.inputEventHandler = new InputEventHandler(inputHandler, transportMappings, trpProperties, sourceType, mapperLatencyTracker, siddhiAppContext, inputEventHandlerCallback);
}