Examples with Table io.siddhi.core.table.Table used on opensource projects

Example 16 with Table

use of io.siddhi.core.table.Table in project siddhi by wso2.

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 17 with Table

use of io.siddhi.core.table.Table in project siddhi by wso2.

the class OnDemandQueryParser method getOnDemandQueryRuntime.

private static OnDemandQueryRuntime getOnDemandQueryRuntime(OnDemandQuery onDemandQuery, Map<String, Table> tableMap, Map<String, Window> windowMap, int metaPosition, LockWrapper lockWrapper, MetaStreamEvent metaStreamEvent, OutputStream outputStream, Expression onCondition, SiddhiQueryContext siddhiQueryContext) {
    try {
        List<VariableExpressionExecutor> variableExpressionExecutors = new ArrayList<>();
        Table table = tableMap.get(outputStream.getId());
        if (table != null) {
            return constructOnDemandQueryRuntime(table, onDemandQuery, tableMap, windowMap, metaPosition, onCondition, metaStreamEvent, variableExpressionExecutors, lockWrapper, siddhiQueryContext);
        } else {
            throw new OnDemandQueryCreationException(outputStream.getId() + " is not a table.");
        }
    } finally {
        SnapshotService.getSkipStateStorageThreadLocal().set(null);
    }
}

Example 18 with Table

use of io.siddhi.core.table.Table 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 19 with Table

use of io.siddhi.core.table.Table in project siddhi by wso2.

the class SandboxTestCase method sandboxTest1.

@Test
public void sandboxTest1() throws InterruptedException {
    log.info("sandbox test1");
    SiddhiManager siddhiManager = new SiddhiManager();
    String app = "" + "@source(type='foo')" + "@source(type='foo1')" + "@sink(type='foo1')" + "@source(type='inMemory', topic='myTopic')" + "define stream StockStream (symbol string, price float, vol long);\n" + "" + "@sink(type='foo1')" + "@sink(type='inMemory', topic='myTopic1')" + "define stream DeleteStockStream (symbol string, price float, vol long);\n" + "" + "@store(type='rdbms')" + "define table StockTable (symbol string, price float, volume long);\n" + "" + "define stream CountStockStream (symbol string);\n" + "" + "@info(name = 'query1') " + "from StockStream " + "select symbol, price, vol as volume " + "insert into StockTable ;" + "" + "@info(name = 'query2') " + "from DeleteStockStream[vol>=100] " + "delete StockTable " + "   on StockTable.symbol==symbol ;" + "" + "@info(name = 'query3') " + "from CountStockStream#window.length(0) join StockTable" + " on CountStockStream.symbol==StockTable.symbol " + "select CountStockStream.symbol as symbol " + "insert into CountResultsStream ;";
    SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSandboxSiddhiAppRuntime(app);
    Assert.assertEquals(siddhiAppRuntime.getSources().size(), 1);
    Assert.assertEquals(siddhiAppRuntime.getSinks().size(), 1);
    Assert.assertEquals(siddhiAppRuntime.getTables().size(), 1);
    for (List<Source> sources : siddhiAppRuntime.getSources()) {
        for (Source source : sources) {
            Assert.assertTrue(source.getType().equalsIgnoreCase("inMemory"));
        }
    }
    for (List<Sink> sinks : siddhiAppRuntime.getSinks()) {
        for (Sink sink : sinks) {
            Assert.assertTrue(sink.getType().equalsIgnoreCase("inMemory"));
        }
    }
    for (Table table : siddhiAppRuntime.getTables()) {
        Assert.assertTrue(table instanceof InMemoryTable);
    }
    InputHandler stockStream = siddhiAppRuntime.getInputHandler("StockStream");
    InputHandler deleteStockStream = siddhiAppRuntime.getInputHandler("DeleteStockStream");
    InputHandler countStockStream = siddhiAppRuntime.getInputHandler("CountStockStream");
    siddhiAppRuntime.addCallback("CountResultsStream", new StreamCallback() {

        @Override
        public void receive(Event[] events) {
            EventPrinter.print(events);
            count.addAndGet(events.length);
        }
    });
    siddhiAppRuntime.start();
    stockStream.send(new Object[] { "WSO2", 55.6f, 100L });
    stockStream.send(new Object[] { "IBM", 75.6f, 100L });
    stockStream.send(new Object[] { "WSO2", 57.6f, 100L });
    deleteStockStream.send(new Object[] { "IBM", 57.6f, 100L });
    countStockStream.send(new Object[] { "WSO2" });
    Thread.sleep(500);
    Assert.assertEquals(count.get(), 2);
    siddhiAppRuntime.shutdown();
}

Example 20 with Table

use of io.siddhi.core.table.Table in project siddhi by wso2.

the class StateTestCase method stateTest3.

@Test
public void stateTest3() throws InterruptedException {
    log.info("stateTest3");
    SiddhiManager siddhiManager = new SiddhiManager();
    String app = "" + "" + "define table cseEventTable (symbol string, price float, volume int);" + "" + "@Store(type='testStoreContainingInMemoryTable') " + "define table StockTable (symbol string, price float, volume long); " + "" + "define window cseEventWindow (symbol string, price float, volume int) time(1 sec) " + "       output all events; " + "" + "define trigger triggerStream at every 500 milliseconds ;" + "" + "define stream cseEventStream (symbol string, price float, volume int);" + "define stream twitterStream (user string, tweet string, company string); " + "define stream Stream1 (symbol string, price float, volume int); " + "define stream Stream2 (symbol string, price float, volume int); " + "" + "@info(name = 'query1') " + "from cseEventStream#window.time(1 sec) join twitterStream#window.time(1 sec) " + "on cseEventStream.symbol== twitterStream.company " + "select cseEventStream.symbol as symbol, twitterStream.tweet, cseEventStream.price " + "insert all events into outputStream ;" + "" + "@info(name = 'query2') " + "from every ( e1=Stream1[price > 20] -> e2=Stream2[price > e1.price] " + "   or e3=Stream2['IBM' == symbol]) -> e4=Stream2[price > e1.price] " + "select e1.price as price1, e2.price as price2, e3.price as price3, e4.price as price4 " + "insert into OutputStream ;" + "";
    SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(app);
    for (QueryRuntime queryRuntime : siddhiAppRuntime.getQueries()) {
        inEventCount++;
        switch(inEventCount) {
            case 1:
                Assert.assertTrue(queryRuntime.isStateful());
                break;
            case 2:
                Assert.assertTrue(queryRuntime.isStateful());
                break;
        }
    }
    for (Table table : siddhiAppRuntime.getTables()) {
        inEventCount++;
        switch(inEventCount) {
            case 3:
                Assert.assertTrue(table.isStateful());
                break;
            case 4:
                Assert.assertFalse(table.isStateful());
                break;
        }
    }
    inEventCount++;
    Assert.assertTrue(siddhiAppRuntime.getWindows().iterator().next().isStateful());
    inEventCount++;
    Assert.assertFalse(siddhiAppRuntime.getTiggers().iterator().next().isStateful());
    Assert.assertEquals(inEventCount, 6);
    siddhiAppRuntime.shutdown();
}