Examples with SiddhiAppContext io.siddhi.core.config.SiddhiAppContext used on opensource projects

Example 6 with SiddhiAppContext

use of io.siddhi.core.config.SiddhiAppContext in project siddhi by wso2.

the class AggregationParser method parse.

public static AggregationRuntime parse(AggregationDefinition aggregationDefinition, SiddhiAppContext siddhiAppContext, Map<String, AbstractDefinition> streamDefinitionMap, Map<String, AbstractDefinition> tableDefinitionMap, Map<String, AbstractDefinition> windowDefinitionMap, Map<String, AbstractDefinition> aggregationDefinitionMap, Map<String, Table> tableMap, Map<String, Window> windowMap, Map<String, AggregationRuntime> aggregationMap, SiddhiAppRuntimeBuilder siddhiAppRuntimeBuilder) {
    // set timeZone for aggregation
    String timeZone = getTimeZone(siddhiAppContext);
    boolean isDebugEnabled = log.isDebugEnabled();
    boolean isPersistedAggregation = false;
    boolean isReadOnly = false;
    if (!validateTimeZone(timeZone)) {
        throw new SiddhiAppCreationException("Given timeZone '" + timeZone + "' for aggregations is invalid. Please provide a valid time zone.");
    }
    // get aggregation name
    String aggregatorName = aggregationDefinition.getId();
    if (isDebugEnabled) {
        log.debug("Incremental aggregation initialization process started for aggregation " + aggregatorName);
    }
    Annotation aggregationProperties = AnnotationHelper.getAnnotation(ANNOTATION_PERSISTED_AGGREGATION, aggregationDefinition.getAnnotations());
    if (aggregationProperties != null) {
        String persistedAggregationMode = aggregationProperties.getElement(ANNOTATION_ELEMENT_ENABLE);
        isPersistedAggregation = persistedAggregationMode == null || Boolean.parseBoolean(persistedAggregationMode);
        String readOnlyMode = aggregationProperties.getElement(ANNOTATION_ELEMENT_IS_READ_ONLY);
        isReadOnly = Boolean.parseBoolean(readOnlyMode);
    }
    if (isPersistedAggregation) {
        aggregationDefinition.getSelector().getSelectionList().stream().forEach(outputAttribute -> {
            if (outputAttribute.getExpression() instanceof AttributeFunction && ((AttributeFunction) outputAttribute.getExpression()).getName().equals("distinctCount")) {
                throw new SiddhiAppCreationException("Aggregation function 'distinctCount' does not supported " + "with persisted aggregation type please use default incremental aggregation");
            }
        });
    }
    if (isDebugEnabled) {
        log.debug("Aggregation mode is defined as " + (isPersistedAggregation ? "persisted" : "inMemory") + " for aggregation " + aggregatorName);
    }
    if (aggregationDefinition.getTimePeriod() == null) {
        throw new SiddhiAppCreationException("Aggregation Definition '" + aggregationDefinition.getId() + "'s timePeriod is null. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'", aggregationDefinition.getQueryContextStartIndex(), aggregationDefinition.getQueryContextEndIndex());
    }
    if (aggregationDefinition.getSelector() == null) {
        throw new SiddhiAppCreationException("Aggregation Definition '" + aggregationDefinition.getId() + "'s selection is not defined. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'", aggregationDefinition.getQueryContextStartIndex(), aggregationDefinition.getQueryContextEndIndex());
    }
    if (streamDefinitionMap.get(aggregationDefinition.getBasicSingleInputStream().getStreamId()) == null) {
        throw new SiddhiAppCreationException("Stream " + aggregationDefinition.getBasicSingleInputStream().getStreamId() + " has not been defined");
    }
    // Check if the user defined primary keys exists for @store annotation on aggregation if yes, an error is
    // is thrown
    Element userDefinedPrimaryKey = AnnotationHelper.getAnnotationElement(SiddhiConstants.ANNOTATION_PRIMARY_KEY, null, aggregationDefinition.getAnnotations());
    if (userDefinedPrimaryKey != null) {
        throw new SiddhiAppCreationException("Aggregation Tables have predefined primary key, but found '" + userDefinedPrimaryKey.getValue() + "' primary key defined though annotation.");
    }
    try {
        List<VariableExpressionExecutor> incomingVariableExpressionExecutors = new ArrayList<>();
        SiddhiQueryContext siddhiQueryContext = new SiddhiQueryContext(siddhiAppContext, aggregatorName);
        StreamRuntime streamRuntime = InputStreamParser.parse(aggregationDefinition.getBasicSingleInputStream(), null, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, incomingVariableExpressionExecutors, false, siddhiQueryContext);
        // Get original meta for later use.
        MetaStreamEvent incomingMetaStreamEvent = (MetaStreamEvent) streamRuntime.getMetaComplexEvent();
        // Create new meta stream event.
        // This must hold the timestamp, group by attributes (if given) and the incremental attributes, in
        // onAfterWindowData array
        // Example format: AGG_TIMESTAMP, groupByAttribute1, groupByAttribute2, AGG_incAttribute1, AGG_incAttribute2
        // AGG_incAttribute1, AGG_incAttribute2 would have the same attribute names as in
        // finalListOfIncrementalAttributes
        // To enter data as onAfterWindowData
        incomingMetaStreamEvent.initializeOnAfterWindowData();
        // List of all aggregationDurations
        List<TimePeriod.Duration> aggregationDurations = getSortedPeriods(aggregationDefinition.getTimePeriod(), isPersistedAggregation);
        // Incoming executors will be executors for timestamp, externalTimestamp(if used),
        List<ExpressionExecutor> incomingExpressionExecutors = new ArrayList<>();
        List<IncrementalAttributeAggregator> incrementalAttributeAggregators = new ArrayList<>();
        // group by attributes (if given) and the incremental attributes expression executors
        List<Variable> groupByVariableList = aggregationDefinition.getSelector().getGroupByList();
        // Expressions to get final aggregate outputs. e.g for avg the expression is Divide expression with
        // AGG_SUM/ AGG_COUNT
        List<Expression> outputExpressions = new ArrayList<>();
        boolean isProcessingOnExternalTime = aggregationDefinition.getAggregateAttribute() != null;
        boolean isGroupBy = aggregationDefinition.getSelector().getGroupByList().size() != 0;
        final boolean isDistributed;
        ConfigManager configManager = siddhiAppContext.getSiddhiContext().getConfigManager();
        final String shardId = configManager.extractProperty("shardId");
        boolean enablePartitioning = false;
        // check if the setup is Active Active(distributed deployment) by checking availability of partitionById
        // config
        Annotation partitionById = AnnotationHelper.getAnnotation(ANNOTATION_PARTITION_BY_ID, aggregationDefinition.getAnnotations());
        if (partitionById != null) {
            String enableElement = partitionById.getElement(ANNOTATION_ELEMENT_ENABLE);
            enablePartitioning = enableElement == null || Boolean.parseBoolean(enableElement);
        }
        boolean shouldPartitionById = Boolean.parseBoolean(configManager.extractProperty("partitionById"));
        if (enablePartitioning || shouldPartitionById) {
            if (shardId == null) {
                throw new SiddhiAppCreationException("Configuration 'shardId' not provided for @partitionById " + "annotation");
            }
            isDistributed = true;
        } else {
            isDistributed = false;
        }
        if (isDebugEnabled) {
            log.debug("Distributed aggregation processing is " + (isDistributed ? "enabled" : "disabled") + " in " + aggregatorName + " aggregation ");
        }
        populateIncomingAggregatorsAndExecutors(aggregationDefinition, siddhiQueryContext, tableMap, incomingVariableExpressionExecutors, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators, groupByVariableList, outputExpressions, isProcessingOnExternalTime, isDistributed, shardId);
        // check if the populateIncomingAggregatorsAndExecutors process has been completed successfully
        boolean isLatestEventColAdded = incomingMetaStreamEvent.getOutputData().get(incomingMetaStreamEvent.getOutputData().size() - 1).getName().equals(AGG_LAST_TIMESTAMP_COL);
        int baseAggregatorBeginIndex = incomingMetaStreamEvent.getOutputData().size();
        List<Expression> finalBaseExpressions = new ArrayList<>();
        boolean isOptimisedLookup = populateFinalBaseAggregators(tableMap, incomingVariableExpressionExecutors, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators, siddhiQueryContext, finalBaseExpressions);
        if (isDebugEnabled) {
            log.debug("Optimised lookup mode is " + (isOptimisedLookup ? "enabled" : "disabled") + " for " + "aggregation " + aggregatorName);
        }
        // Creating an intermediate stream with aggregated stream and above extracted output variables
        StreamDefinition incomingOutputStreamDefinition = StreamDefinition.id(aggregatorName + "_intermediate");
        incomingOutputStreamDefinition.setQueryContextStartIndex(aggregationDefinition.getQueryContextStartIndex());
        incomingOutputStreamDefinition.setQueryContextEndIndex(aggregationDefinition.getQueryContextEndIndex());
        MetaStreamEvent processedMetaStreamEvent = new MetaStreamEvent();
        for (Attribute attribute : incomingMetaStreamEvent.getOutputData()) {
            incomingOutputStreamDefinition.attribute(attribute.getName(), attribute.getType());
            processedMetaStreamEvent.addOutputData(attribute);
        }
        incomingMetaStreamEvent.setOutputDefinition(incomingOutputStreamDefinition);
        processedMetaStreamEvent.addInputDefinition(incomingOutputStreamDefinition);
        processedMetaStreamEvent.setOutputDefinition(incomingOutputStreamDefinition);
        // Executors of processing meta
        List<VariableExpressionExecutor> processVariableExpressionExecutors = new ArrayList<>();
        Map<TimePeriod.Duration, List<ExpressionExecutor>> processExpressionExecutorsMap = new HashMap<>();
        Map<TimePeriod.Duration, List<ExpressionExecutor>> processExpressionExecutorsMapForFind = new HashMap<>();
        aggregationDurations.forEach(incrementalDuration -> {
            processExpressionExecutorsMap.put(incrementalDuration, constructProcessExpressionExecutors(siddhiQueryContext, tableMap, baseAggregatorBeginIndex, finalBaseExpressions, incomingOutputStreamDefinition, processedMetaStreamEvent, processVariableExpressionExecutors, isProcessingOnExternalTime, incrementalDuration, isDistributed, shardId, isLatestEventColAdded));
            processExpressionExecutorsMapForFind.put(incrementalDuration, constructProcessExpressionExecutors(siddhiQueryContext, tableMap, baseAggregatorBeginIndex, finalBaseExpressions, incomingOutputStreamDefinition, processedMetaStreamEvent, processVariableExpressionExecutors, isProcessingOnExternalTime, incrementalDuration, isDistributed, shardId, isLatestEventColAdded));
        });
        ExpressionExecutor shouldUpdateTimestamp = null;
        if (isLatestEventColAdded) {
            Expression shouldUpdateTimestampExp = new Variable(AGG_LAST_TIMESTAMP_COL);
            shouldUpdateTimestamp = ExpressionParser.parseExpression(shouldUpdateTimestampExp, processedMetaStreamEvent, 0, tableMap, processVariableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
        }
        List<ExpressionExecutor> outputExpressionExecutors = outputExpressions.stream().map(expression -> ExpressionParser.parseExpression(expression, processedMetaStreamEvent, 0, tableMap, processVariableExpressionExecutors, isGroupBy, 0, ProcessingMode.BATCH, false, siddhiQueryContext)).collect(Collectors.toList());
        // Create group by key generator
        Map<TimePeriod.Duration, GroupByKeyGenerator> groupByKeyGeneratorMap = new HashMap<>();
        aggregationDurations.forEach(incrementalDuration -> {
            GroupByKeyGenerator groupByKeyGenerator = null;
            if (isProcessingOnExternalTime || isGroupBy) {
                List<Expression> groupByExpressionList = new ArrayList<>();
                if (isProcessingOnExternalTime) {
                    Expression externalTimestampExpression = AttributeFunction.function("incrementalAggregator", "getAggregationStartTime", new Variable(AGG_EXTERNAL_TIMESTAMP_COL), new StringConstant(incrementalDuration.name()));
                    groupByExpressionList.add(externalTimestampExpression);
                }
                groupByExpressionList.addAll(groupByVariableList.stream().map(groupByVariable -> (Expression) groupByVariable).collect(Collectors.toList()));
                groupByKeyGenerator = new GroupByKeyGenerator(groupByExpressionList, processedMetaStreamEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, processVariableExpressionExecutors, siddhiQueryContext);
            }
            groupByKeyGeneratorMap.put(incrementalDuration, groupByKeyGenerator);
        });
        // GroupBy for reading
        Map<TimePeriod.Duration, GroupByKeyGenerator> groupByKeyGeneratorMapForReading = new HashMap<>();
        if (isDistributed && !isProcessingOnExternalTime) {
            aggregationDurations.forEach(incrementalDuration -> {
                List<Expression> groupByExpressionList = new ArrayList<>();
                Expression timestampExpression = AttributeFunction.function("incrementalAggregator", "getAggregationStartTime", new Variable(AGG_START_TIMESTAMP_COL), new StringConstant(incrementalDuration.name()));
                groupByExpressionList.add(timestampExpression);
                if (isGroupBy) {
                    groupByExpressionList.addAll(groupByVariableList.stream().map(groupByVariable -> (Expression) groupByVariable).collect(Collectors.toList()));
                }
                GroupByKeyGenerator groupByKeyGenerator = new GroupByKeyGenerator(groupByExpressionList, processedMetaStreamEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, processVariableExpressionExecutors, siddhiQueryContext);
                groupByKeyGeneratorMapForReading.put(incrementalDuration, groupByKeyGenerator);
            });
        } else {
            groupByKeyGeneratorMapForReading.putAll(groupByKeyGeneratorMap);
        }
        // Create new scheduler
        EntryValveExecutor entryValveExecutor = new EntryValveExecutor(siddhiAppContext);
        LockWrapper lockWrapper = new LockWrapper(aggregatorName);
        lockWrapper.setLock(new ReentrantLock());
        Scheduler scheduler = SchedulerParser.parse(entryValveExecutor, siddhiQueryContext);
        scheduler.init(lockWrapper, aggregatorName);
        scheduler.setStreamEventFactory(new StreamEventFactory(processedMetaStreamEvent));
        QueryParserHelper.reduceMetaComplexEvent(incomingMetaStreamEvent);
        QueryParserHelper.reduceMetaComplexEvent(processedMetaStreamEvent);
        QueryParserHelper.updateVariablePosition(incomingMetaStreamEvent, incomingVariableExpressionExecutors);
        QueryParserHelper.updateVariablePosition(processedMetaStreamEvent, processVariableExpressionExecutors);
        Map<TimePeriod.Duration, Table> aggregationTables = initDefaultTables(aggregatorName, aggregationDurations, processedMetaStreamEvent.getOutputStreamDefinition(), siddhiAppRuntimeBuilder, aggregationDefinition.getAnnotations(), groupByVariableList, isProcessingOnExternalTime, isDistributed);
        Map<TimePeriod.Duration, Executor> incrementalExecutorMap = buildIncrementalExecutors(processedMetaStreamEvent, processExpressionExecutorsMap, groupByKeyGeneratorMap, aggregationDurations, aggregationTables, siddhiQueryContext, aggregatorName, shouldUpdateTimestamp, timeZone, isPersistedAggregation, incomingOutputStreamDefinition, isDistributed, shardId, isProcessingOnExternalTime, aggregationDefinition, configManager, groupByVariableList, isReadOnly);
        isOptimisedLookup = isOptimisedLookup && aggregationTables.get(aggregationDurations.get(0)) instanceof QueryableProcessor;
        List<String> groupByVariablesList = groupByVariableList.stream().map(Variable::getAttributeName).collect(Collectors.toList());
        List<OutputAttribute> defaultSelectorList = new ArrayList<>();
        if (isOptimisedLookup) {
            defaultSelectorList = incomingOutputStreamDefinition.getAttributeList().stream().map((attribute) -> new OutputAttribute(new Variable(attribute.getName()))).collect(Collectors.toList());
        }
        IncrementalDataPurger incrementalDataPurger = new IncrementalDataPurger();
        incrementalDataPurger.init(aggregationDefinition, new StreamEventFactory(processedMetaStreamEvent), aggregationTables, isProcessingOnExternalTime, siddhiQueryContext, aggregationDurations, timeZone, windowMap, aggregationMap);
        // Recreate in-memory data from tables
        IncrementalExecutorsInitialiser incrementalExecutorsInitialiser = new IncrementalExecutorsInitialiser(aggregationDurations, aggregationTables, incrementalExecutorMap, isDistributed, shardId, siddhiAppContext, processedMetaStreamEvent, tableMap, windowMap, aggregationMap, timeZone, isReadOnly, isPersistedAggregation);
        IncrementalExecutor rootIncrementalExecutor = (IncrementalExecutor) incrementalExecutorMap.get(aggregationDurations.get(0));
        rootIncrementalExecutor.setScheduler(scheduler);
        // Connect entry valve to root incremental executor
        entryValveExecutor.setNextExecutor(rootIncrementalExecutor);
        QueryParserHelper.initStreamRuntime(streamRuntime, incomingMetaStreamEvent, lockWrapper, aggregatorName);
        LatencyTracker latencyTrackerFind = null;
        LatencyTracker latencyTrackerInsert = null;
        ThroughputTracker throughputTrackerFind = null;
        ThroughputTracker throughputTrackerInsert = null;
        if (siddhiAppContext.getStatisticsManager() != null) {
            latencyTrackerFind = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_FIND);
            latencyTrackerInsert = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_INSERT);
            throughputTrackerFind = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_FIND);
            throughputTrackerInsert = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), METRIC_INFIX_AGGREGATIONS, METRIC_TYPE_INSERT);
        }
        AggregationRuntime aggregationRuntime = new AggregationRuntime(aggregationDefinition, isProcessingOnExternalTime, isDistributed, aggregationDurations, incrementalExecutorMap, aggregationTables, outputExpressionExecutors, processExpressionExecutorsMapForFind, shouldUpdateTimestamp, groupByKeyGeneratorMapForReading, isOptimisedLookup, defaultSelectorList, groupByVariablesList, isLatestEventColAdded, baseAggregatorBeginIndex, finalBaseExpressions, incrementalDataPurger, incrementalExecutorsInitialiser, ((SingleStreamRuntime) streamRuntime), processedMetaStreamEvent, latencyTrackerFind, throughputTrackerFind, timeZone);
        streamRuntime.setCommonProcessor(new IncrementalAggregationProcessor(aggregationRuntime, incomingExpressionExecutors, processedMetaStreamEvent, latencyTrackerInsert, throughputTrackerInsert, siddhiAppContext));
        return aggregationRuntime;
    } catch (Throwable t) {
        ExceptionUtil.populateQueryContext(t, aggregationDefinition, siddhiAppContext);
        throw t;
    }
}

Example 7 with SiddhiAppContext

use of io.siddhi.core.config.SiddhiAppContext in project siddhi by wso2.

the class EventHolderPasser method parse.

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

Example 8 with SiddhiAppContext

use of io.siddhi.core.config.SiddhiAppContext in project siddhi by wso2.

the class SnapshotService method restoreIncrementalSnapshot.

private void restoreIncrementalSnapshot(PartitionIdStateHolder partitionIdStateHolder, Map<String, Map<Long, Map<IncrementalSnapshotInfo, byte[]>>> incrementalStateByTime) {
    if (incrementalStateByTime != null) {
        String id = null;
        State state = null;
        StateHolder stateHolder = null;
        Map<String, Object> deserializedStateMap = null;
        try {
            for (Iterator<Map.Entry<String, Map<Long, Map<IncrementalSnapshotInfo, byte[]>>>> iterator = incrementalStateByTime.entrySet().iterator(); iterator.hasNext(); ) {
                Map.Entry<String, Map<Long, Map<IncrementalSnapshotInfo, byte[]>>> incrementalStateByTimeEntry = iterator.next();
                iterator.remove();
                for (Iterator<Map.Entry<Long, Map<IncrementalSnapshotInfo, byte[]>>> partitionGroupByKeyIterator = incrementalStateByTimeEntry.getValue().entrySet().iterator(); partitionGroupByKeyIterator.hasNext(); ) {
                    Map.Entry<Long, Map<IncrementalSnapshotInfo, byte[]>> partitionGroupByKeyStateByTimeEntry = partitionGroupByKeyIterator.next();
                    partitionGroupByKeyIterator.remove();
                    for (Iterator<Map.Entry<IncrementalSnapshotInfo, byte[]>> iterator1 = partitionGroupByKeyStateByTimeEntry.getValue().entrySet().iterator(); iterator1.hasNext(); ) {
                        Map.Entry<IncrementalSnapshotInfo, byte[]> incrementalStateByInfoEntry = iterator1.next();
                        iterator1.remove();
                        IncrementalSnapshotInfo incrementalSnapshotInfo = incrementalStateByInfoEntry.getKey();
                        Map<String, Object> singleIncrementSnapshot = (Map<String, Object>) ByteSerializer.byteToObject(incrementalStateByInfoEntry.getValue(), siddhiAppContext);
                        if (singleIncrementSnapshot != null) {
                            if (!incrementalSnapshotInfo.getId().equals(id)) {
                                if (id != null) {
                                    state.restore(deserializedStateMap);
                                    SiddhiAppContext.startPartitionFlow(id);
                                    try {
                                        stateHolder.returnState(state);
                                    } finally {
                                        SiddhiAppContext.stopPartitionFlow();
                                    }
                                    id = null;
                                    state = null;
                                    stateHolder = null;
                                    deserializedStateMap = null;
                                }
                                ElementStateHolder elementStateHolder = partitionIdStateHolder.queryStateHolderMap.get(incrementalSnapshotInfo.getQueryName());
                                if (elementStateHolder == null) {
                                    continue;
                                }
                                stateHolder = elementStateHolder.elementHolderMap.get(incrementalSnapshotInfo.getElementId());
                                if (stateHolder == null) {
                                    continue;
                                }
                                String partitionKey = null;
                                String groupByKey = null;
                                String[] keys = incrementalSnapshotInfo.getPartitionGroupByKey().split("--");
                                if (keys.length == 2) {
                                    if (!keys[0].equals("null")) {
                                        partitionKey = keys[0];
                                    }
                                    if (!keys[1].equals("null")) {
                                        groupByKey = keys[1];
                                    }
                                }
                                SiddhiAppContext.startPartitionFlow(partitionKey);
                                SiddhiAppContext.startGroupByFlow(groupByKey);
                                try {
                                    state = stateHolder.getState();
                                } finally {
                                    SiddhiAppContext.stopGroupByFlow();
                                    SiddhiAppContext.stopPartitionFlow();
                                }
                                if (state != null) {
                                    id = incrementalSnapshotInfo.getId();
                                    deserializedStateMap = new HashMap<>();
                                }
                            }
                            if (state != null) {
                                for (Map.Entry<String, Object> singleIncrementSnapshotEntry : singleIncrementSnapshot.entrySet()) {
                                    if (singleIncrementSnapshotEntry.getValue() instanceof Snapshot) {
                                        Snapshot snapshot = (Snapshot) singleIncrementSnapshotEntry.getValue();
                                        SnapshotStateList snapshotStateList = (SnapshotStateList) deserializedStateMap.computeIfAbsent(singleIncrementSnapshotEntry.getKey(), k -> new SnapshotStateList());
                                        if (snapshot.isIncrementalSnapshot()) {
                                            snapshotStateList.putSnapshotState(partitionGroupByKeyStateByTimeEntry.getKey(), snapshot);
                                        } else {
                                            snapshotStateList.getSnapshotStates().clear();
                                            snapshotStateList.putSnapshotState(partitionGroupByKeyStateByTimeEntry.getKey(), snapshot);
                                        }
                                    } else {
                                        deserializedStateMap.put(singleIncrementSnapshotEntry.getKey(), singleIncrementSnapshotEntry.getValue());
                                    }
                                }
                            }
                        }
                    }
                }
                if (id != null) {
                    state.restore(deserializedStateMap);
                    SiddhiAppContext.startPartitionFlow(id);
                    try {
                        stateHolder.returnState(state);
                    } finally {
                        SiddhiAppContext.stopPartitionFlow();
                    }
                    id = null;
                    state = null;
                    stateHolder = null;
                    deserializedStateMap = null;
                }
            }
        } finally {
            if (id != null && stateHolder != null && state != null) {
                SiddhiAppContext.startPartitionFlow(id);
                try {
                    stateHolder.returnState(state);
                } finally {
                    SiddhiAppContext.stopPartitionFlow();
                }
                id = null;
                state = null;
                stateHolder = null;
            }
        }
    }
}