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/*******************************************************************************
* Copyright (c) 2010-2019, Tamas Szabo, itemis AG, Gabor Bergmann, IncQuery Labs Ltd.
* This program and the accompanying materials are made available under the
* terms of the Eclipse Public License v. 2.0 which is available at
* http://www.eclipse.org/legal/epl-v20.html.
*
* SPDX-License-Identifier: EPL-2.0
*******************************************************************************/
package tools.refinery.viatra.runtime.rete.aggregation.timely;
import java.util.Map.Entry;
import java.util.TreeMap;
import tools.refinery.viatra.runtime.matchers.psystem.aggregations.IMultisetAggregationOperator;
import tools.refinery.viatra.runtime.matchers.tuple.Tuple;
import tools.refinery.viatra.runtime.matchers.tuple.TupleMask;
import tools.refinery.viatra.runtime.matchers.util.Direction;
import tools.refinery.viatra.runtime.rete.network.ReteContainer;
import tools.refinery.viatra.runtime.rete.network.communication.Timestamp;
/**
* First-only column aggregator with parallel aggregation architecture.
*
* @author Tamas Szabo
* @since 2.4
*/
public class FirstOnlyParallelTimelyColumnAggregatorNode<Domain, Accumulator, AggregateResult>
extends FirstOnlyTimelyColumnAggregatorNode<Domain, Accumulator, AggregateResult> {
public FirstOnlyParallelTimelyColumnAggregatorNode(final ReteContainer reteContainer,
final IMultisetAggregationOperator<Domain, Accumulator, AggregateResult> operator,
final TupleMask groupMask, final TupleMask columnMask) {
super(reteContainer, operator, groupMask, columnMask);
}
/**
* Accumulator gets modified at the input timestamp and at all higher timestamps. Folding cannot be interrupted if
* the new aggregate result is the same as the old at an intermediate timestamp because aggregands need to be copied
* over to all accumulators at the higher timestamps.
*/
@Override
public void update(final Direction direction, final Tuple update, final Timestamp timestamp) {
final Tuple group = groupMask.transform(update);
final Tuple value = columnMask.transform(update);
@SuppressWarnings("unchecked")
final Domain aggregand = (Domain) runtimeContext.unwrapElement(value.get(0));
final boolean isInsertion = direction == Direction.INSERT;
final AggregateResult previousResult = getResultRaw(group, timestamp, true);
Accumulator oldAccumulator = getAccumulator(group, timestamp);
AggregateResult oldResult = operator.getAggregate(oldAccumulator);
Accumulator newAccumulator = operator.update(oldAccumulator, aggregand, isInsertion);
AggregateResult newResult = operator.getAggregate(newAccumulator);
storeIfNotNeutral(group, newAccumulator, newResult, timestamp);
propagateWithChecks(group, timestamp, previousResult, previousResult, oldResult, newResult);
AggregateResult previousOldResult = oldResult;
AggregateResult previousNewResult = newResult;
final TreeMap<Timestamp, CumulativeAggregate<Accumulator, AggregateResult>> groupEntries = this.memory
.get(group);
Timestamp currentTimestamp = groupEntries == null ? null : groupEntries.higherKey(timestamp);
while (currentTimestamp != null) {
final CumulativeAggregate<Accumulator, AggregateResult> groupEntry = groupEntries.get(currentTimestamp);
oldResult = groupEntry.result;
oldAccumulator = groupEntry.accumulator;
newAccumulator = operator.update(oldAccumulator, aggregand, isInsertion);
newResult = operator.getAggregate(newAccumulator);
storeIfNotNeutral(group, newAccumulator, newResult, currentTimestamp);
propagateWithChecks(group, currentTimestamp, previousOldResult, previousNewResult, oldResult, newResult);
previousOldResult = oldResult;
previousNewResult = newResult;
currentTimestamp = groupEntries.higherKey(currentTimestamp);
}
}
@Override
protected Accumulator getAccumulator(final Tuple group, final Timestamp timestamp) {
final TreeMap<Timestamp, CumulativeAggregate<Accumulator, AggregateResult>> entryMap = this.memory.get(group);
if (entryMap == null) {
return operator.createNeutral();
} else {
final CumulativeAggregate<Accumulator, AggregateResult> entry = entryMap.get(timestamp);
if (entry == null) {
final Entry<Timestamp, CumulativeAggregate<Accumulator, AggregateResult>> lowerEntry = entryMap
.lowerEntry(timestamp);
if (lowerEntry == null) {
return operator.createNeutral();
} else {
return operator.clone(lowerEntry.getValue().accumulator);
}
} else {
return entry.accumulator;
}
}
}
}
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