Examples with AggregationRuntime io.siddhi.core.aggregation.AggregationRuntime used on opensource projects

Example 11 with AggregationRuntime

use of io.siddhi.core.aggregation.AggregationRuntime in project siddhi by siddhi-io.

the class OnDemandQueryParser method parse.

public static OnDemandQueryRuntime parse(OnDemandQuery onDemandQuery, String onDemandQueryString, SiddhiAppContext siddhiAppContext, Map<String, Table> tableMap, Map<String, Window> windowMap, Map<String, AggregationRuntime> aggregationMap) {
    final LockWrapper lockWrapper = new LockWrapper("OnDemandQueryLock");
    lockWrapper.setLock(new ReentrantLock());
    MetaStreamEvent metaStreamEvent = new MetaStreamEvent();
    int metaPosition = SiddhiConstants.UNKNOWN_STATE;
    String queryName;
    Table table;
    SiddhiQueryContext siddhiQueryContext;
    Expression onCondition;
    SnapshotService.getSkipStateStorageThreadLocal().set(true);
    switch(onDemandQuery.getType()) {
        case FIND:
            Within within = null;
            Expression per = null;
            queryName = "store_select_query_" + onDemandQuery.getInputStore().getStoreId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            InputStore inputStore = onDemandQuery.getInputStore();
            try {
                onCondition = Expression.value(true);
                metaStreamEvent.setInputReferenceId(inputStore.getStoreReferenceId());
                if (inputStore instanceof AggregationInputStore) {
                    AggregationInputStore aggregationInputStore = (AggregationInputStore) inputStore;
                    if (aggregationMap.get(inputStore.getStoreId()) == null) {
                        throw new OnDemandQueryCreationException("Aggregation \"" + inputStore.getStoreId() + "\" has not been defined");
                    }
                    if (aggregationInputStore.getPer() != null && aggregationInputStore.getWithin() != null) {
                        within = aggregationInputStore.getWithin();
                        per = aggregationInputStore.getPer();
                    } else if (aggregationInputStore.getPer() != null || aggregationInputStore.getWithin() != null) {
                        throw new OnDemandQueryCreationException(inputStore.getStoreId() + " should either have both 'within' and 'per' " + "defined or none.");
                    }
                    if (((AggregationInputStore) inputStore).getOnCondition() != null) {
                        onCondition = ((AggregationInputStore) inputStore).getOnCondition();
                    }
                } else if (inputStore instanceof ConditionInputStore) {
                    if (((ConditionInputStore) inputStore).getOnCondition() != null) {
                        onCondition = ((ConditionInputStore) inputStore).getOnCondition();
                    }
                }
                List<VariableExpressionExecutor> variableExpressionExecutors = new ArrayList<>();
                table = tableMap.get(inputStore.getStoreId());
                if (table != null) {
                    return constructOnDemandQueryRuntime(table, onDemandQuery, tableMap, windowMap, metaPosition, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
                } else {
                    AggregationRuntime aggregation = aggregationMap.get(inputStore.getStoreId());
                    if (aggregation != null) {
                        return constructOnDemandQueryRuntime(aggregation, onDemandQuery, tableMap, windowMap, within, per, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
                    } else {
                        Window window = windowMap.get(inputStore.getStoreId());
                        if (window != null) {
                            return constructOnDemandQueryRuntime(window, onDemandQuery, tableMap, windowMap, metaPosition, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
                        } else {
                            throw new OnDemandQueryCreationException(inputStore.getStoreId() + " is neither a table, aggregation or window");
                        }
                    }
                }
            } finally {
                SnapshotService.getSkipStateStorageThreadLocal().set(null);
            }
        case INSERT:
            InsertIntoStream inserIntoStreamt = (InsertIntoStream) onDemandQuery.getOutputStream();
            queryName = "store_insert_query_" + inserIntoStreamt.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = Expression.value(true);
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, inserIntoStreamt, onCondition, siddhiQueryContext);
        case DELETE:
            DeleteStream deleteStream = (DeleteStream) onDemandQuery.getOutputStream();
            queryName = "store_delete_query_" + deleteStream.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = deleteStream.getOnDeleteExpression();
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, deleteStream, onCondition, siddhiQueryContext);
        case UPDATE:
            UpdateStream outputStream = (UpdateStream) onDemandQuery.getOutputStream();
            queryName = "store_update_query_" + outputStream.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = outputStream.getOnUpdateExpression();
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, outputStream, onCondition, siddhiQueryContext);
        case UPDATE_OR_INSERT:
            UpdateOrInsertStream onDemandQueryOutputStream = (UpdateOrInsertStream) onDemandQuery.getOutputStream();
            queryName = "store_update_or_insert_query_" + onDemandQueryOutputStream.getId();
            siddhiQueryContext = new SiddhiOnDemandQueryContext(siddhiAppContext, queryName, onDemandQueryString);
            onCondition = onDemandQueryOutputStream.getOnUpdateExpression();
            return getOnDemandQueryRuntime(onDemandQuery, tableMap, windowMap, metaPosition, lockWrapper, metaStreamEvent, onDemandQueryOutputStream, onCondition, siddhiQueryContext);
        default:
            return null;
    }
}

Example 12 with AggregationRuntime

use of io.siddhi.core.aggregation.AggregationRuntime in project siddhi by siddhi-io.

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
 * @param partitioned              is the query partitioned
 * @param partitionId              The ID of the partition
 * @return queryRuntime
 */
public static QueryRuntimeImpl 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, boolean partitioned, String partitionId) {
    List<VariableExpressionExecutor> executors = new ArrayList<>();
    QueryRuntimeImpl queryRuntime;
    Element nameElement = null;
    LatencyTracker latencyTracker = null;
    LockWrapper lockWrapper = null;
    try {
        nameElement = AnnotationHelper.getAnnotationElement("info", "name", query.getAnnotations());
        String queryName;
        if (nameElement != null) {
            queryName = nameElement.getValue();
        } else {
            queryName = "query_" + queryIndex;
        }
        SiddhiQueryContext siddhiQueryContext = new SiddhiQueryContext(siddhiAppContext, queryName, partitionId);
        siddhiQueryContext.setPartitioned(partitioned);
        latencyTracker = QueryParserHelper.createLatencyTracker(siddhiAppContext, siddhiQueryContext.getName(), SiddhiConstants.METRIC_INFIX_QUERIES, null);
        siddhiQueryContext.setLatencyTracker(latencyTracker);
        OutputStream.OutputEventType outputEventType = query.getOutputStream().getOutputEventType();
        if (query.getOutputRate() != null && query.getOutputRate() instanceof SnapshotOutputRate) {
            if (outputEventType != OutputStream.OutputEventType.ALL_EVENTS) {
                throw new SiddhiAppCreationException("As query '" + siddhiQueryContext.getName() + "' is performing snapshot rate limiting, it can only insert '" + OutputStream.OutputEventType.ALL_EVENTS + "' but it is inserting '" + outputEventType + "'!", query.getOutputStream().getQueryContextStartIndex(), query.getOutputStream().getQueryContextEndIndex());
            }
        }
        siddhiQueryContext.setOutputEventType(outputEventType);
        boolean outputExpectsExpiredEvents = false;
        if (outputEventType != OutputStream.OutputEventType.CURRENT_EVENTS) {
            outputExpectsExpiredEvents = true;
        }
        StreamRuntime streamRuntime = InputStreamParser.parse(query.getInputStream(), query, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, executors, outputExpectsExpiredEvents, siddhiQueryContext);
        QuerySelector selector;
        if (streamRuntime.getQuerySelector() != null) {
            selector = streamRuntime.getQuerySelector();
        } else {
            selector = SelectorParser.parse(query.getSelector(), query.getOutputStream(), streamRuntime.getMetaComplexEvent(), tableMap, executors, SiddhiConstants.UNKNOWN_STATE, streamRuntime.getProcessingMode(), outputExpectsExpiredEvents, siddhiQueryContext);
        }
        boolean isWindow = query.getInputStream() instanceof JoinInputStream;
        if (!isWindow && query.getInputStream() instanceof SingleInputStream) {
            for (StreamHandler streamHandler : ((SingleInputStream) query.getInputStream()).getStreamHandlers()) {
                if (streamHandler instanceof io.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, siddhiQueryContext);
        if (outputRateLimiter instanceof WrappedSnapshotOutputRateLimiter) {
            selector.setBatchingEnabled(false);
        }
        boolean groupBy = !query.getSelector().getGroupByList().isEmpty();
        OutputCallback outputCallback = OutputParser.constructOutputCallback(query.getOutputStream(), streamRuntime.getMetaComplexEvent().getOutputStreamDefinition(), tableMap, windowMap, !(streamRuntime instanceof SingleStreamRuntime) || groupBy, siddhiQueryContext);
        QueryParserHelper.reduceMetaComplexEvent(streamRuntime.getMetaComplexEvent());
        QueryParserHelper.updateVariablePosition(streamRuntime.getMetaComplexEvent(), executors);
        QueryParserHelper.initStreamRuntime(streamRuntime, streamRuntime.getMetaComplexEvent(), lockWrapper, siddhiQueryContext.getName());
        // Update cache compile selection variable expression executors
        if (streamRuntime instanceof JoinStreamRuntime) {
            streamRuntime.getSingleStreamRuntimes().forEach((singleStreamRuntime -> {
                Processor processorChain = singleStreamRuntime.getProcessorChain();
                if (processorChain instanceof JoinProcessor) {
                    CompiledSelection compiledSelection = ((JoinProcessor) processorChain).getCompiledSelection();
                    if (compiledSelection instanceof AbstractQueryableRecordTable.CompiledSelectionWithCache) {
                        List<VariableExpressionExecutor> variableExpressionExecutors = ((AbstractQueryableRecordTable.CompiledSelectionWithCache) compiledSelection).getVariableExpressionExecutorsForQuerySelector();
                        QueryParserHelper.updateVariablePosition(streamRuntime.getMetaComplexEvent(), variableExpressionExecutors);
                    }
                }
            }));
        }
        selector.setEventPopulator(StateEventPopulatorFactory.constructEventPopulator(streamRuntime.getMetaComplexEvent()));
        queryRuntime = new QueryRuntimeImpl(query, streamRuntime, selector, outputRateLimiter, outputCallback, streamRuntime.getMetaComplexEvent(), siddhiQueryContext);
        if (outputRateLimiter instanceof WrappedSnapshotOutputRateLimiter) {
            selector.setBatchingEnabled(false);
            ((WrappedSnapshotOutputRateLimiter) outputRateLimiter).init(streamRuntime.getMetaComplexEvent().getOutputStreamDefinition().getAttributeList().size(), selector.getAttributeProcessorList(), streamRuntime.getMetaComplexEvent());
        }
        outputRateLimiter.init(lockWrapper, groupBy, siddhiQueryContext);
    } 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 13 with AggregationRuntime

use of io.siddhi.core.aggregation.AggregationRuntime in project siddhi by siddhi-io.

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 14 with AggregationRuntime

use of io.siddhi.core.aggregation.AggregationRuntime in project siddhi by siddhi-io.

the class JoinInputStreamParser method setStreamRuntimeProcessorChain.

private static void setStreamRuntimeProcessorChain(MetaStreamEvent metaStreamEvent, SingleStreamRuntime streamRuntime, String inputStreamId, Map<String, Table> tableMap, Map<String, Window> windowMap, Map<String, AggregationRuntime> aggregationMap, List<VariableExpressionExecutor> variableExpressionExecutors, boolean outputExpectsExpiredEvents, Within within, Expression per, List<Variable> queryGroupByList, SiddhiQueryContext siddhiQueryContext, InputStream inputStream) {
    switch(metaStreamEvent.getEventType()) {
        case TABLE:
            TableWindowProcessor tableWindowProcessor = new TableWindowProcessor(tableMap.get(inputStreamId));
            tableWindowProcessor.initProcessor(metaStreamEvent, new ExpressionExecutor[0], null, outputExpectsExpiredEvents, true, false, inputStream, siddhiQueryContext);
            streamRuntime.setProcessorChain(tableWindowProcessor);
            break;
        case WINDOW:
            WindowWindowProcessor windowWindowProcessor = new WindowWindowProcessor(windowMap.get(inputStreamId));
            windowWindowProcessor.initProcessor(metaStreamEvent, variableExpressionExecutors.toArray(new ExpressionExecutor[0]), null, outputExpectsExpiredEvents, true, false, inputStream, siddhiQueryContext);
            streamRuntime.setProcessorChain(windowWindowProcessor);
            break;
        case AGGREGATE:
            AggregationRuntime aggregationRuntime = aggregationMap.get(inputStreamId);
            AggregateWindowProcessor aggregateWindowProcessor = new AggregateWindowProcessor(aggregationRuntime, within, per, queryGroupByList);
            aggregateWindowProcessor.initProcessor(metaStreamEvent, variableExpressionExecutors.toArray(new ExpressionExecutor[0]), null, outputExpectsExpiredEvents, true, false, inputStream, siddhiQueryContext);
            streamRuntime.setProcessorChain(aggregateWindowProcessor);
            break;
        case DEFAULT:
            break;
    }
}