Package org.drools.core.reteoo.AccumulateNode

Examples of org.drools.core.reteoo.AccumulateNode.AccumulateMemory


    }

    private static ProtobufMessages.NodeMemory writeAccumulateNodeMemory(final int nodeId,
                                                                         final Memory memory) {
        // for accumulate nodes, we need to store the ID of created (result) handles
        AccumulateMemory accmem = (AccumulateMemory) memory;
        if ( accmem.betaMemory.getLeftTupleMemory().size() > 0 ) {
            ProtobufMessages.NodeMemory.AccumulateNodeMemory.Builder _accumulate = ProtobufMessages.NodeMemory.AccumulateNodeMemory.newBuilder();

            final org.drools.core.util.Iterator tupleIter = accmem.betaMemory.getLeftTupleMemory().iterator();
            for ( LeftTuple leftTuple = (LeftTuple) tupleIter.next(); leftTuple != null; leftTuple = (LeftTuple) tupleIter.next() ) {
View Full Code Here


                return;
            }
            if (NodeTypeEnums.isBetaNode(node)) {
                BetaMemory bm;
                if (NodeTypeEnums.AccumulateNode == node.getType()) {
                    AccumulateMemory am = (AccumulateMemory) memory;
                    bm = am.getBetaMemory();
                    FastIterator it = bm.getLeftTupleMemory().fullFastIterator();
                    LeftTuple lt = ((BetaNode) node).getFirstLeftTuple(bm.getLeftTupleMemory(), it);
                    for (; lt != null; lt = (LeftTuple) it.next(lt)) {
                        AccumulateContext accctx = (AccumulateContext) lt.getObject();
                        followPeer(accctx.getResultLeftTuple(), smem, sinks,  sinks.size()-1, insert, wm);
View Full Code Here

    private boolean evalBetaNode(LeftInputAdapterNode liaNode, PathMemory pmem, NetworkNode node, Memory nodeMem, SegmentMemory[] smems, int smemIndex, LeftTupleSets trgTuples, InternalWorkingMemory wm, LinkedList<StackEntry> stack, LinkedList<StackEntry> outerStack, Set<String> visitedRules, boolean processRian, RuleExecutor executor,
                                 LeftTupleSets srcTuples, LeftTupleSets stagedLeftTuples, LeftTupleSinkNode sink) {BetaNode betaNode = (BetaNode) node;

        BetaMemory bm;
        AccumulateMemory am = null;
        if (NodeTypeEnums.AccumulateNode == node.getType()) {
            am = (AccumulateMemory) nodeMem;
            bm = am.getBetaMemory();
        } else {
            bm = (BetaMemory) nodeMem;
        }

        if (processRian && betaNode.isRightInputIsRiaNode()) {
View Full Code Here

                return;
            }
            if (NodeTypeEnums.isBetaNode(node)) {
                BetaMemory bm;
                if (NodeTypeEnums.AccumulateNode == node.getType()) {
                    AccumulateMemory am = (AccumulateMemory) memory;
                    bm = am.getBetaMemory();
                    FastIterator it = bm.getLeftTupleMemory().fullFastIterator();
                    LeftTuple lt = BetaNode.getFirstLeftTuple(bm.getLeftTupleMemory(), it);
                    for (; lt != null; lt = (LeftTuple) it.next(lt)) {
                        AccumulateContext accctx = (AccumulateContext) lt.getObject();
                        followPeer(accctx.getResultLeftTuple(), smem, sinks,  sinks.size()-1, insert, wm);
View Full Code Here

                break;
            }
            case NodeTypeEnums.AccumulateNode : {
                //context.out.println( ".... AccumulateNode" );
                // accumulate nodes generate new facts on-demand and need special procedures when serializing to persistent storage
                AccumulateMemory memory = (AccumulateMemory) context.wm.getNodeMemory( (BetaNode) sink );
                AccumulateContext accctx = (AccumulateContext) leftTuple.getObject();
                // first we serialize the generated fact handle
                writeFactHandle( context,
                                 stream,
                                 context.objectMarshallingStrategyStore,
                                 accctx.result.getFactHandle() );
                // then we serialize the associated accumulation context
                stream.writeObject( accctx.context );
                // then we serialize the boolean propagated flag
                stream.writeBoolean( accctx.propagated );

                // then we serialize all the propagated tuples
                for ( LeftTuple childLeftTuple = leftTuple.getFirstChild(); childLeftTuple != null; childLeftTuple = (LeftTuple) childLeftTuple.getLeftParentNext() ) {
                    if ( leftTuple.getLeftTupleSink().getId() == childLeftTuple.getLeftTupleSink().getId() ) {
                        // this is a matching record, so, associate the right tuples
                        //context.out.println( "RightTuple(match) int:" + childLeftTuple.getLeftTupleSink().getId() + " int:" + childLeftTuple.getRightParent().getFactHandle().getId() );
                        stream.writeShort( PersisterEnums.RIGHT_TUPLE );
                        stream.writeInt( childLeftTuple.getRightParent().getFactHandle().getId() );
                    } else {
                        // this is a propagation record
                        //context.out.println( "RightTuple(propagation) int:" + childLeftTuple.getLeftTupleSink().getId() + " int:" + childLeftTuple.getRightParent().getFactHandle().getId() );
                        stream.writeShort( PersisterEnums.LEFT_TUPLE );
                        int sinkId = childLeftTuple.getLeftTupleSink().getId();
                        stream.writeInt( sinkId );
                        writeLeftTuple( childLeftTuple,
                                        context,
                                        recurse );
                    }
                }
                stream.writeShort( PersisterEnums.END );
                //context.out.println( "---- AccumulateNode   ---   END" );
                break;
            }
            case NodeTypeEnums.RightInputAdaterNode : {
                //context.out.println( ".... RightInputAdapterNode" );
                // RIANs generate new fact handles on-demand to wrap tuples and need special procedures when serializing to persistent storage
                ObjectHashMap memory = (ObjectHashMap) context.wm.getNodeMemory( (MemoryFactory) sink );
                InternalFactHandle ifh = (InternalFactHandle) memory.get( leftTuple );
                // first we serialize the generated fact handle ID
                //context.out.println( "FactHandle id:"+ifh.getId() );
                stream.writeInt( ifh.getId() );
                stream.writeLong( ifh.getRecency() );
View Full Code Here

    }

    private static ProtobufMessages.NodeMemory writeAccumulateNodeMemory(final int nodeId,
                                                                         final Memory memory) {
        // for accumulate nodes, we need to store the ID of created (result) handles
        AccumulateMemory accmem = (AccumulateMemory) memory;
        if ( accmem.betaMemory.getLeftTupleMemory().size() > 0 ) {
            ProtobufMessages.NodeMemory.AccumulateNodeMemory.Builder _accumulate = ProtobufMessages.NodeMemory.AccumulateNodeMemory.newBuilder();

            final org.drools.core.util.Iterator tupleIter = accmem.betaMemory.getLeftTupleMemory().iterator();
            for ( LeftTuple leftTuple = (LeftTuple) tupleIter.next(); leftTuple != null; leftTuple = (LeftTuple) tupleIter.next() ) {
View Full Code Here

                }
                break;
            }
            case NodeTypeEnums.AccumulateNode: {
                // accumulate nodes generate new facts on-demand and need special procedures when de-serializing from persistent storage
                AccumulateMemory memory = (AccumulateMemory) context.wm.getNodeMemory( (BetaNode) sink );
                memory.betaMemory.getLeftTupleMemory().add( parentLeftTuple );

                AccumulateContext accctx = new AccumulateContext();
                parentLeftTuple.setObject( accctx );

                // first we de-serialize the generated fact handle
                InternalFactHandle handle = readFactHandle( context );
                accctx.result = new RightTuple( handle,
                                                (RightTupleSink) sink );

                // then we de-serialize the associated accumulation context
                accctx.context = (Serializable[]) stream.readObject();
                // then we de-serialize the boolean propagated flag
                accctx.propagated = stream.readBoolean();

                // then we de-serialize all the propagated tuples
                short head = -1;
                while (( head = stream.readShort() ) != PersisterEnums.END) {
                    switch (head) {
                        case PersisterEnums.RIGHT_TUPLE: {
                            int factHandleId = stream.readInt();
                            RightTupleKey key = new RightTupleKey( factHandleId,
                                                                   sink );
                            RightTuple rightTuple = context.rightTuples.get( key );
                            // just wiring up the match record
                            sink.createLeftTuple( parentLeftTuple,
                                                  rightTuple,
                                                  null,
                                                  null,
                                                  sink,
                                                  true );
                            break;
                        }
                        case PersisterEnums.LEFT_TUPLE: {
                            int sinkId = stream.readInt();
                            LeftTupleSink childSink = (LeftTupleSink) sinks.get( sinkId );
                            LeftTuple childLeftTuple = new LeftTupleImpl( parentLeftTuple,
                                                                          accctx.result,
                                                                          childSink,
                                                                          true );
                            readLeftTuple( childLeftTuple,
                                           context );
                            break;
                        }
                        default: {
                            throw new RuntimeDroolsException(
                                                              "Marshalling error. This is a bug. Please contact the development team." );
                        }
                    }
                }
                break;
            }
            case NodeTypeEnums.RightInputAdaterNode: {
                // RIANs generate new fact handles on-demand to wrap tuples and need special procedures when de-serializing from persistent storage
                ObjectHashMap memory = (ObjectHashMap) context.wm.getNodeMemory( (MemoryFactory) sink );
                // create fact handle
                int id = stream.readInt();
                long recency = stream.readLong();
                InternalFactHandle handle = new DefaultFactHandle(
                                                                   id,
                                                                   parentLeftTuple,
                                                                   recency,
                                                                   context.wm.getEntryPoints().get( EntryPointId.DEFAULT.getEntryPointId() ) );
                memory.put( parentLeftTuple,
                            handle );

                readRightTuples( handle,
                                 context );
View Full Code Here

                                 SegmentMemory[] smems, int smemIndex, LeftTupleSets trgTuples, InternalWorkingMemory wm,
                                 LinkedList<StackEntry> stack, LinkedList<StackEntry> outerStack, Set<String> visitedRules, boolean processRian, RuleExecutor executor,
                                 LeftTupleSets srcTuples, LeftTupleSets stagedLeftTuples, LeftTupleSinkNode sink) {
        BetaNode betaNode = (BetaNode) node;
        BetaMemory bm;
        AccumulateMemory am = null;
        if (NodeTypeEnums.AccumulateNode == node.getType()) {
            am = (AccumulateMemory) nodeMem;
            bm = am.getBetaMemory();
        } else {
            bm = (BetaMemory) nodeMem;
        }

        if (processRian && betaNode.isRightInputIsRiaNode()) {
View Full Code Here

                return;
            }
            if (NodeTypeEnums.isBetaNode(node)) {
                BetaMemory bm;
                if (NodeTypeEnums.AccumulateNode == node.getType()) {
                    AccumulateMemory am = (AccumulateMemory) memory;
                    bm = am.getBetaMemory();
                    FastIterator it = bm.getLeftTupleMemory().fullFastIterator();
                    LeftTuple lt = BetaNode.getFirstLeftTuple(bm.getLeftTupleMemory(), it);
                    for (; lt != null; lt = (LeftTuple) it.next(lt)) {
                        AccumulateContext accctx = (AccumulateContext) lt.getObject();
                        followPeer(accctx.getResultLeftTuple(), smem, sinks,  sinks.size()-1, insert, wm);
View Full Code Here

                                 SegmentMemory[] smems, int smemIndex, LeftTupleSets trgTuples, InternalWorkingMemory wm,
                                 LinkedList<StackEntry> stack, LinkedList<StackEntry> outerStack, Set<String> visitedRules, boolean processRian, RuleExecutor executor,
                                 LeftTupleSets srcTuples, LeftTupleSets stagedLeftTuples, LeftTupleSinkNode sink) {
        BetaNode betaNode = (BetaNode) node;
        BetaMemory bm;
        AccumulateMemory am = null;
        if (NodeTypeEnums.AccumulateNode == node.getType()) {
            am = (AccumulateMemory) nodeMem;
            bm = am.getBetaMemory();
        } else {
            bm = (BetaMemory) nodeMem;
        }

        if (processRian && betaNode.isRightInputIsRiaNode()) {
View Full Code Here

TOP

Related Classes of org.drools.core.reteoo.AccumulateNode.AccumulateMemory

Copyright © 2018 www.massapicom. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.