use of io.siddhi.query.api.execution.query.selection.OutputAttribute in project siddhi by wso2.
the class AggregationRuntime method constructSelectorList.
private static List<OutputAttribute> constructSelectorList(boolean isProcessingOnExternalTime, boolean isDistributed, boolean isLatestEventColAdded, int baseAggregatorBeginIndex, int numGroupByVariables, List<Expression> finalBaseExpressions, AbstractDefinition incomingOutputStreamDefinition, List<Variable> newGroupByList) {
List<OutputAttribute> selectorList = new ArrayList<>();
List<Attribute> attributeList = incomingOutputStreamDefinition.getAttributeList();
List<String> queryGroupByNames = newGroupByList.stream().map(Variable::getAttributeName).collect(Collectors.toList());
Variable maxVariable;
if (!isProcessingOnExternalTime) {
maxVariable = new Variable(AGG_START_TIMESTAMP_COL);
} else if (isLatestEventColAdded) {
maxVariable = new Variable(AGG_LAST_TIMESTAMP_COL);
} else {
maxVariable = new Variable(AGG_EXTERNAL_TIMESTAMP_COL);
}
int i = 0;
// Add timestamp selector
OutputAttribute timestampAttribute;
if (!isProcessingOnExternalTime && queryGroupByNames.contains(AGG_START_TIMESTAMP_COL)) {
timestampAttribute = new OutputAttribute(new Variable(AGG_START_TIMESTAMP_COL));
} else {
timestampAttribute = new OutputAttribute(attributeList.get(i).getName(), Expression.function("max", new Variable(AGG_START_TIMESTAMP_COL)));
}
selectorList.add(timestampAttribute);
i++;
if (isDistributed) {
selectorList.add(new OutputAttribute(AGG_SHARD_ID_COL, Expression.function("max", new Variable(AGG_SHARD_ID_COL))));
i++;
}
if (isProcessingOnExternalTime) {
OutputAttribute externalTimestampAttribute;
if (queryGroupByNames.contains(AGG_START_TIMESTAMP_COL)) {
externalTimestampAttribute = new OutputAttribute(new Variable(AGG_EXTERNAL_TIMESTAMP_COL));
} else {
externalTimestampAttribute = new OutputAttribute(attributeList.get(i).getName(), Expression.function("max", new Variable(AGG_EXTERNAL_TIMESTAMP_COL)));
}
selectorList.add(externalTimestampAttribute);
i++;
}
for (int j = 0; j < numGroupByVariables; j++) {
OutputAttribute groupByAttribute;
Variable variable = new Variable(attributeList.get(i).getName());
if (queryGroupByNames.contains(variable.getAttributeName())) {
groupByAttribute = new OutputAttribute(variable);
} else {
groupByAttribute = new OutputAttribute(variable.getAttributeName(), Expression.function("incrementalAggregator", "last", new Variable(attributeList.get(i).getName()), maxVariable));
}
selectorList.add(groupByAttribute);
i++;
}
if (isLatestEventColAdded) {
baseAggregatorBeginIndex = baseAggregatorBeginIndex - 1;
}
for (; i < baseAggregatorBeginIndex; i++) {
OutputAttribute outputAttribute;
Variable variable = new Variable(attributeList.get(i).getName());
if (queryGroupByNames.contains(variable.getAttributeName())) {
outputAttribute = new OutputAttribute(variable);
} else {
outputAttribute = new OutputAttribute(attributeList.get(i).getName(), Expression.function("incrementalAggregator", "last", new Variable(attributeList.get(i).getName()), maxVariable));
}
selectorList.add(outputAttribute);
}
if (isLatestEventColAdded) {
OutputAttribute lastTimestampAttribute = new OutputAttribute(AGG_LAST_TIMESTAMP_COL, Expression.function("max", new Variable(AGG_LAST_TIMESTAMP_COL)));
selectorList.add(lastTimestampAttribute);
i++;
}
for (Expression finalBaseExpression : finalBaseExpressions) {
OutputAttribute outputAttribute = new OutputAttribute(attributeList.get(i).getName(), finalBaseExpression);
selectorList.add(outputAttribute);
i++;
}
return selectorList;
}
use of io.siddhi.query.api.execution.query.selection.OutputAttribute in project siddhi by wso2.
the class AggregationRuntime method compileExpression.
public CompiledCondition compileExpression(Expression expression, Within within, Expression per, List<Variable> queryGroupByList, MatchingMetaInfoHolder matchingMetaInfoHolder, List<VariableExpressionExecutor> variableExpressionExecutors, Map<String, Table> tableMap, SiddhiQueryContext siddhiQueryContext) {
String aggregationName = aggregationDefinition.getId();
boolean isOptimisedTableLookup = isOptimisedLookup;
Map<TimePeriod.Duration, CompiledCondition> withinTableCompiledConditions = new HashMap<>();
CompiledCondition withinInMemoryCompileCondition;
CompiledCondition onCompiledCondition;
List<Attribute> additionalAttributes = new ArrayList<>();
// Define additional attribute list
additionalAttributes.add(new Attribute("_START", Attribute.Type.LONG));
additionalAttributes.add(new Attribute("_END", Attribute.Type.LONG));
int lowerGranularitySize = this.activeIncrementalDurations.size() - 1;
List<String> lowerGranularityAttributes = new ArrayList<>();
if (isDistributed) {
// for values calculated in in-memory in the shards
for (int i = 0; i < lowerGranularitySize; i++) {
String attributeName = "_AGG_TIMESTAMP_FILTER_" + i;
additionalAttributes.add(new Attribute(attributeName, Attribute.Type.LONG));
lowerGranularityAttributes.add(attributeName);
}
}
// Get table definition. Table definitions for all the tables used to persist aggregates are similar.
// Therefore it's enough to get the definition from one table.
AbstractDefinition tableDefinition = aggregationTables.get(activeIncrementalDurations.get(0)).getTableDefinition();
boolean isOnDemandQuery = matchingMetaInfoHolder.getMetaStateEvent().getMetaStreamEvents().length == 1;
// Alter existing meta stream event or create new one if a meta stream doesn't exist
// After calling this method the original MatchingMetaInfoHolder's meta stream event would be altered
// Alter meta info holder to contain stream event and aggregate both when it's a on-demand query
MetaStreamEvent metaStreamEventForTableLookups;
if (isOnDemandQuery) {
metaStreamEventForTableLookups = alterMetaStreamEvent(true, new MetaStreamEvent(), additionalAttributes);
matchingMetaInfoHolder = alterMetaInfoHolderForOnDemandQuery(metaStreamEventForTableLookups, matchingMetaInfoHolder);
} else {
metaStreamEventForTableLookups = alterMetaStreamEvent(false, matchingMetaInfoHolder.getMetaStateEvent().getMetaStreamEvent(0), additionalAttributes);
}
// Create new MatchingMetaInfoHolder containing newMetaStreamEventWithStartEnd and table meta event
String aggReferenceId = matchingMetaInfoHolder.getMetaStateEvent().getMetaStreamEvent(1).getInputReferenceId();
String referenceName = aggReferenceId == null ? aggregationName : aggReferenceId;
MetaStreamEvent metaStoreEventForTableLookups = createMetaStoreEvent(tableDefinition, referenceName);
// Create new MatchingMetaInfoHolder containing metaStreamEventForTableLookups and table meta event
MatchingMetaInfoHolder metaInfoHolderForTableLookups = createNewStreamTableMetaInfoHolder(metaStreamEventForTableLookups, metaStoreEventForTableLookups);
// Create per expression executor
ExpressionExecutor perExpressionExecutor;
if (per != null) {
perExpressionExecutor = ExpressionParser.parseExpression(per, matchingMetaInfoHolder.getMetaStateEvent(), matchingMetaInfoHolder.getCurrentState(), tableMap, variableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
if (perExpressionExecutor.getReturnType() != Attribute.Type.STRING) {
throw new SiddhiAppCreationException("Query " + siddhiQueryContext.getName() + "'s per value expected a string but found " + perExpressionExecutor.getReturnType(), per.getQueryContextStartIndex(), per.getQueryContextEndIndex());
}
// Additional Per time function verification at compile time if it is a constant
if (perExpressionExecutor instanceof ConstantExpressionExecutor) {
String perValue = ((ConstantExpressionExecutor) perExpressionExecutor).getValue().toString();
try {
normalizeDuration(perValue);
} catch (SiddhiAppValidationException e) {
throw new SiddhiAppValidationException("Aggregation Query's per value is expected to be of a valid time function of the " + "following " + TimePeriod.Duration.SECONDS + ", " + TimePeriod.Duration.MINUTES + ", " + TimePeriod.Duration.HOURS + ", " + TimePeriod.Duration.DAYS + ", " + TimePeriod.Duration.MONTHS + ", " + TimePeriod.Duration.YEARS + ".");
}
}
} else {
throw new SiddhiAppCreationException("Syntax Error: Aggregation join query must contain a `per` " + "definition for granularity");
}
// Create start and end time expression
Expression startEndTimeExpression;
ExpressionExecutor startTimeEndTimeExpressionExecutor;
if (within != null) {
if (within.getTimeRange().size() == 1) {
startEndTimeExpression = new AttributeFunction("incrementalAggregator", "startTimeEndTime", within.getTimeRange().get(0));
} else {
// within.getTimeRange().size() == 2
startEndTimeExpression = new AttributeFunction("incrementalAggregator", "startTimeEndTime", within.getTimeRange().get(0), within.getTimeRange().get(1));
}
startTimeEndTimeExpressionExecutor = ExpressionParser.parseExpression(startEndTimeExpression, matchingMetaInfoHolder.getMetaStateEvent(), matchingMetaInfoHolder.getCurrentState(), tableMap, variableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
} else {
throw new SiddhiAppCreationException("Syntax Error : Aggregation read query must contain a `within` " + "definition for filtering of aggregation data.");
}
// Create within expression
Expression timeFilterExpression;
if (isProcessingOnExternalTime) {
timeFilterExpression = Expression.variable(AGG_EXTERNAL_TIMESTAMP_COL);
} else {
timeFilterExpression = Expression.variable(AGG_START_TIMESTAMP_COL);
}
Expression withinExpression;
Expression start = Expression.variable(additionalAttributes.get(0).getName());
Expression end = Expression.variable(additionalAttributes.get(1).getName());
Expression compareWithStartTime = Compare.compare(start, Compare.Operator.LESS_THAN_EQUAL, timeFilterExpression);
Expression compareWithEndTime = Compare.compare(timeFilterExpression, Compare.Operator.LESS_THAN, end);
withinExpression = Expression.and(compareWithStartTime, compareWithEndTime);
List<ExpressionExecutor> timestampFilterExecutors = new ArrayList<>();
if (isDistributed) {
for (int i = 0; i < lowerGranularitySize; i++) {
Expression[] expressionArray = new Expression[] { new AttributeFunction("", "currentTimeMillis", null), Expression.value(this.activeIncrementalDurations.get(i + 1).toString()) };
Expression filterExpression = new AttributeFunction("incrementalAggregator", "getAggregationStartTime", expressionArray);
timestampFilterExecutors.add(ExpressionParser.parseExpression(filterExpression, matchingMetaInfoHolder.getMetaStateEvent(), matchingMetaInfoHolder.getCurrentState(), tableMap, variableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext));
}
}
// Create compile condition per each table used to persist aggregates.
// These compile conditions are used to check whether the aggregates in tables are within the given duration.
// Combine with and on condition for table query
boolean shouldApplyReducedCondition = false;
Expression reducedExpression = null;
// Check if there is no on conditions
if (!(expression instanceof BoolConstant)) {
// For abstract queryable table
AggregationExpressionBuilder aggregationExpressionBuilder = new AggregationExpressionBuilder(expression);
AggregationExpressionVisitor expressionVisitor = new AggregationExpressionVisitor(metaStreamEventForTableLookups.getInputReferenceId(), metaStreamEventForTableLookups.getLastInputDefinition().getAttributeList(), this.tableAttributesNameList);
aggregationExpressionBuilder.build(expressionVisitor);
shouldApplyReducedCondition = expressionVisitor.applyReducedExpression();
reducedExpression = expressionVisitor.getReducedExpression();
}
Expression withinExpressionTable;
if (shouldApplyReducedCondition) {
withinExpressionTable = Expression.and(withinExpression, reducedExpression);
} else {
withinExpressionTable = withinExpression;
}
List<Variable> queryGroupByListCopy = new ArrayList<>(queryGroupByList);
Variable timestampVariable = new Variable(AGG_START_TIMESTAMP_COL);
List<String> queryGroupByNamesList = queryGroupByListCopy.stream().map(Variable::getAttributeName).collect(Collectors.toList());
boolean queryGroupByContainsTimestamp = queryGroupByNamesList.remove(AGG_START_TIMESTAMP_COL);
boolean isQueryGroupBySameAsAggGroupBy = queryGroupByListCopy.isEmpty() || (queryGroupByListCopy.contains(timestampVariable) && queryGroupByNamesList.equals(groupByVariablesList));
List<VariableExpressionExecutor> variableExpExecutorsForTableLookups = new ArrayList<>();
Map<TimePeriod.Duration, CompiledSelection> withinTableCompiledSelection = new HashMap<>();
if (isOptimisedTableLookup) {
Selector selector = Selector.selector();
List<Variable> groupByList = new ArrayList<>();
if (!isQueryGroupBySameAsAggGroupBy) {
if (queryGroupByContainsTimestamp) {
if (isProcessingOnExternalTime) {
groupByList.add(new Variable(AGG_EXTERNAL_TIMESTAMP_COL));
} else {
groupByList.add(new Variable(AGG_START_TIMESTAMP_COL));
}
// Remove timestamp to process the rest
queryGroupByListCopy.remove(timestampVariable);
}
for (Variable queryGroupBy : queryGroupByListCopy) {
String referenceId = queryGroupBy.getStreamId();
if (referenceId == null) {
if (tableAttributesNameList.contains(queryGroupBy.getAttributeName())) {
groupByList.add(queryGroupBy);
}
} else if (referenceId.equalsIgnoreCase(referenceName)) {
groupByList.add(queryGroupBy);
}
}
// If query group bys are based on joining stream
if (groupByList.isEmpty()) {
isQueryGroupBySameAsAggGroupBy = true;
}
}
groupByList.forEach((groupBy) -> groupBy.setStreamId(referenceName));
selector.addGroupByList(groupByList);
List<OutputAttribute> selectorList;
if (!isQueryGroupBySameAsAggGroupBy) {
selectorList = constructSelectorList(isProcessingOnExternalTime, isDistributed, isLatestEventColAdded, baseAggregatorBeginIndex, groupByVariablesList.size(), finalBaseExpressionsList, tableDefinition, groupByList);
} else {
selectorList = defaultSelectorList;
}
for (OutputAttribute outputAttribute : selectorList) {
if (outputAttribute.getExpression() instanceof Variable) {
((Variable) outputAttribute.getExpression()).setStreamId(referenceName);
} else {
for (Expression parameter : ((AttributeFunction) outputAttribute.getExpression()).getParameters()) {
((Variable) parameter).setStreamId(referenceName);
}
}
}
selector.addSelectionList(selectorList);
try {
aggregationTables.entrySet().forEach((durationTableEntry -> {
CompiledSelection compiledSelection = ((QueryableProcessor) durationTableEntry.getValue()).compileSelection(selector, tableDefinition.getAttributeList(), metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
withinTableCompiledSelection.put(durationTableEntry.getKey(), compiledSelection);
}));
} catch (SiddhiAppCreationException | SiddhiAppValidationException | QueryableRecordTableException e) {
if (LOG.isDebugEnabled()) {
LOG.debug("Aggregation Query optimization failed for aggregation: '" + aggregationName + "'. " + "Creating table lookup query in normal mode. Reason for failure: " + e.getMessage(), e);
}
isOptimisedTableLookup = false;
}
}
for (Map.Entry<TimePeriod.Duration, Table> entry : aggregationTables.entrySet()) {
CompiledCondition withinTableCompileCondition = entry.getValue().compileCondition(withinExpressionTable, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
withinTableCompiledConditions.put(entry.getKey(), withinTableCompileCondition);
}
// Create compile condition for in-memory data.
// This compile condition is used to check whether the running aggregates (in-memory data)
// are within given duration
withinInMemoryCompileCondition = OperatorParser.constructOperator(new ComplexEventChunk<>(), withinExpression, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
// Create compile condition for in-memory data, in case of distributed
// Look at the lower level granularities
Map<TimePeriod.Duration, CompiledCondition> withinTableLowerGranularityCompileCondition = new HashMap<>();
Expression lowerGranularity;
if (isDistributed) {
for (int i = 0; i < lowerGranularitySize; i++) {
if (isProcessingOnExternalTime) {
lowerGranularity = Expression.and(Expression.compare(Expression.variable("AGG_TIMESTAMP"), Compare.Operator.GREATER_THAN_EQUAL, Expression.variable(lowerGranularityAttributes.get(i))), withinExpressionTable);
} else {
if (shouldApplyReducedCondition) {
lowerGranularity = Expression.and(Expression.compare(Expression.variable("AGG_TIMESTAMP"), Compare.Operator.GREATER_THAN_EQUAL, Expression.variable(lowerGranularityAttributes.get(i))), reducedExpression);
} else {
lowerGranularity = Expression.compare(Expression.variable("AGG_TIMESTAMP"), Compare.Operator.GREATER_THAN_EQUAL, Expression.variable(lowerGranularityAttributes.get(i)));
}
}
TimePeriod.Duration duration = this.activeIncrementalDurations.get(i);
String tableName = aggregationName + "_" + duration.toString();
CompiledCondition compiledCondition = tableMap.get(tableName).compileCondition(lowerGranularity, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups, tableMap, siddhiQueryContext);
withinTableLowerGranularityCompileCondition.put(duration, compiledCondition);
}
}
QueryParserHelper.reduceMetaComplexEvent(metaInfoHolderForTableLookups.getMetaStateEvent());
// On compile condition.
// After finding all the aggregates belonging to within duration, the final on condition (given as
// "on stream1.name == aggregator.nickName ..." in the join query) must be executed on that data.
// This condition is used for that purpose.
onCompiledCondition = OperatorParser.constructOperator(new ComplexEventChunk<>(), expression, matchingMetaInfoHolder, variableExpressionExecutors, tableMap, siddhiQueryContext);
return new IncrementalAggregateCompileCondition(isOnDemandQuery, aggregationName, isProcessingOnExternalTime, isDistributed, activeIncrementalDurations, aggregationTables, outputExpressionExecutors, isOptimisedTableLookup, withinTableCompiledSelection, withinTableCompiledConditions, withinInMemoryCompileCondition, withinTableLowerGranularityCompileCondition, onCompiledCondition, additionalAttributes, perExpressionExecutor, startTimeEndTimeExpressionExecutor, timestampFilterExecutors, aggregateMetaSteamEvent, matchingMetaInfoHolder, metaInfoHolderForTableLookups, variableExpExecutorsForTableLookups);
}
use of io.siddhi.query.api.execution.query.selection.OutputAttribute in project siddhi by wso2.
the class SelectorParser method getAttributeProcessors.
/**
* Method to construct AttributeProcessor list for the selector.
*
* @param selector Selector
* @param id stream id
* @param metaComplexEvent meta ComplexEvent
* @param tableMap Table Map
* @param variableExpressionExecutors list of VariableExpressionExecutors
* @param outputStream output stream
* @param processingMode processing mode of the query
* @param outputExpectsExpiredEvents is expired events sent as output
* @param groupBy is Attributes groupBy
* @param siddhiQueryContext current siddhi query context @return list of AttributeProcessors
*/
private static List<AttributeProcessor> getAttributeProcessors(Selector selector, String id, MetaComplexEvent metaComplexEvent, Map<String, Table> tableMap, List<VariableExpressionExecutor> variableExpressionExecutors, OutputStream outputStream, int metaPosition, ProcessingMode processingMode, boolean outputExpectsExpiredEvents, boolean groupBy, SiddhiQueryContext siddhiQueryContext) {
List<AttributeProcessor> attributeProcessorList = new ArrayList<>();
StreamDefinition outputDefinition = StreamDefinition.id(id);
outputDefinition.setQueryContextStartIndex(outputStream.getQueryContextStartIndex());
outputDefinition.setQueryContextEndIndex(outputStream.getQueryContextEndIndex());
List<OutputAttribute> outputAttributes = selector.getSelectionList();
if (selector.getSelectionList().size() == 0) {
if (metaComplexEvent instanceof MetaStreamEvent) {
List<Attribute> attributeList = ((MetaStreamEvent) metaComplexEvent).getLastInputDefinition().getAttributeList();
for (Attribute attribute : attributeList) {
Variable variable = new Variable(attribute.getName());
variable.setQueryContextStartIndex(selector.getQueryContextStartIndex());
variable.setQueryContextEndIndex(selector.getQueryContextEndIndex());
OutputAttribute outputAttribute = new OutputAttribute(variable);
outputAttribute.setQueryContextStartIndex(selector.getQueryContextStartIndex());
outputAttribute.setQueryContextEndIndex(selector.getQueryContextEndIndex());
outputAttributes.add(outputAttribute);
}
} else {
int position = 0;
for (MetaStreamEvent metaStreamEvent : ((MetaStateEvent) metaComplexEvent).getMetaStreamEvents()) {
if (metaPosition == SiddhiConstants.UNKNOWN_STATE || metaPosition == position) {
List<Attribute> attributeList = metaStreamEvent.getLastInputDefinition().getAttributeList();
for (Attribute attribute : attributeList) {
Variable variable = new Variable(attribute.getName());
variable.setQueryContextStartIndex(selector.getQueryContextStartIndex());
variable.setQueryContextEndIndex(selector.getQueryContextEndIndex());
OutputAttribute outputAttribute = new OutputAttribute(variable);
outputAttribute.setQueryContextStartIndex(selector.getQueryContextStartIndex());
outputAttribute.setQueryContextEndIndex(selector.getQueryContextEndIndex());
if (!outputAttributes.contains(outputAttribute)) {
outputAttributes.add(outputAttribute);
} else {
List<AbstractDefinition> definitions = new ArrayList<>();
for (MetaStreamEvent aMetaStreamEvent : ((MetaStateEvent) metaComplexEvent).getMetaStreamEvents()) {
definitions.add(aMetaStreamEvent.getLastInputDefinition());
}
throw new DuplicateAttributeException("Duplicate attribute exist in streams " + definitions, outputStream.getQueryContextStartIndex(), outputStream.getQueryContextEndIndex());
}
}
}
++position;
}
}
}
int i = 0;
for (OutputAttribute outputAttribute : outputAttributes) {
ExpressionExecutor expressionExecutor = ExpressionParser.parseExpression(outputAttribute.getExpression(), metaComplexEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, variableExpressionExecutors, groupBy, 0, processingMode, outputExpectsExpiredEvents, siddhiQueryContext);
if (expressionExecutor instanceof VariableExpressionExecutor) {
// for variables we will directly put
// value at conversion stage
VariableExpressionExecutor executor = ((VariableExpressionExecutor) expressionExecutor);
if (metaComplexEvent instanceof MetaStateEvent) {
((MetaStateEvent) metaComplexEvent).addOutputDataAllowingDuplicate(new MetaStateEventAttribute(executor.getAttribute(), executor.getPosition()));
} else {
((MetaStreamEvent) metaComplexEvent).addOutputDataAllowingDuplicate(executor.getAttribute());
}
outputDefinition.attribute(outputAttribute.getRename(), ((VariableExpressionExecutor) expressionExecutor).getAttribute().getType());
} else {
// To maintain output variable positions
if (metaComplexEvent instanceof MetaStateEvent) {
((MetaStateEvent) metaComplexEvent).addOutputDataAllowingDuplicate(null);
} else {
((MetaStreamEvent) metaComplexEvent).addOutputDataAllowingDuplicate(null);
}
AttributeProcessor attributeProcessor = new AttributeProcessor(expressionExecutor);
attributeProcessor.setOutputPosition(i);
attributeProcessorList.add(attributeProcessor);
outputDefinition.attribute(outputAttribute.getRename(), attributeProcessor.getOutputType());
}
i++;
}
metaComplexEvent.setOutputDefinition(outputDefinition);
return attributeProcessorList;
}
use of io.siddhi.query.api.execution.query.selection.OutputAttribute in project siddhi by wso2.
the class AggregationParser method processAggregationSelectors.
private static void processAggregationSelectors(AggregationDefinition aggregationDefinition, SiddhiQueryContext siddhiQueryContext, Map<String, Table> tableMap, List<VariableExpressionExecutor> incomingVariableExpressionExecutors, MetaStreamEvent incomingMetaStreamEvent, List<ExpressionExecutor> incomingExpressionExecutors, List<Expression> outputExpressions, OutputAttribute outputAttribute, Expression expression) {
ExpressionExecutor expressionExecutor = ExpressionParser.parseExpression(expression, incomingMetaStreamEvent, 0, tableMap, incomingVariableExpressionExecutors, false, 0, ProcessingMode.BATCH, false, siddhiQueryContext);
incomingExpressionExecutors.add(expressionExecutor);
incomingMetaStreamEvent.addOutputData(new Attribute(outputAttribute.getRename(), expressionExecutor.getReturnType()));
aggregationDefinition.getAttributeList().add(new Attribute(outputAttribute.getRename(), expressionExecutor.getReturnType()));
outputExpressions.add(Expression.variable(outputAttribute.getRename()));
}
use of io.siddhi.query.api.execution.query.selection.OutputAttribute in project siddhi by wso2.
the class SimpleQueryTestCase method test4.
@Test
public void test4() {
Selector selector = new Selector();
List<OutputAttribute> list = new ArrayList<>();
list.add(new OutputAttribute(Expression.variable("volume")));
selector.select("symbol", Expression.variable("symbol")).orderBy(Expression.variable("symbol"), OrderByAttribute.Order.DESC).limit(Expression.value(5)).offset(Expression.value(2)).addSelectionList(list);
AssertJUnit.assertEquals(IntConstant.value(5), selector.getLimit());
AssertJUnit.assertEquals(IntConstant.value(2), selector.getOffset());
}
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