Package org.apache.flink.compiler.dag

Source Code of org.apache.flink.compiler.dag.SinkJoiner

/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements.  See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership.  The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License.  You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/


package org.apache.flink.compiler.dag;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

import org.apache.flink.api.common.typeinfo.NothingTypeInfo;
import org.apache.flink.compiler.CompilerException;
import org.apache.flink.compiler.DataStatistics;
import org.apache.flink.compiler.operators.OperatorDescriptorDual;
import org.apache.flink.compiler.operators.UtilSinkJoinOpDescriptor;
import org.apache.flink.compiler.util.NoOpBinaryUdfOp;
import org.apache.flink.types.Nothing;

/**
* This class represents a utility node that is not part of the actual plan. It is used for plans with multiple data sinks to
* transform it into a plan with a single root node. That way, the code that makes sure no costs are double-counted and that
* candidate selection works correctly with nodes that have multiple outputs is transparently reused.
*/
public class SinkJoiner extends TwoInputNode {
 
  public SinkJoiner(OptimizerNode input1, OptimizerNode input2) {
    super(new NoOpBinaryUdfOp<Nothing>(new NothingTypeInfo()));

    PactConnection conn1 = new PactConnection(input1, this);
    PactConnection conn2 = new PactConnection(input2, this);
   
    this.input1 = conn1;
    this.input2 = conn2;
   
    setDegreeOfParallelism(1);
  }
 
  @Override
  public String getName() {
    return "Internal Utility Node";
  }
 
  @Override
  public List<PactConnection> getOutgoingConnections() {
    return Collections.emptyList();
  }
 
  @Override
  public void computeUnclosedBranchStack() {
    if (this.openBranches != null) {
      return;
    }
   
    addClosedBranches(getFirstPredecessorNode().closedBranchingNodes);
    addClosedBranches(getSecondPredecessorNode().closedBranchingNodes);
   
    List<UnclosedBranchDescriptor> pred1branches = getFirstPredecessorNode().openBranches;
    List<UnclosedBranchDescriptor> pred2branches = getSecondPredecessorNode().openBranches;
   
    // if the predecessors do not have branches, then we have multiple sinks that do not originate from
    // a common data flow.
    if (pred1branches == null || pred1branches.isEmpty() || pred2branches == null || pred2branches.isEmpty()) {
      throw new CompilerException("The given program contains multiple disconnected data flows.");
    }
   
    // copy the lists and merge
    List<UnclosedBranchDescriptor> result1 = new ArrayList<UnclosedBranchDescriptor>(pred1branches);
    List<UnclosedBranchDescriptor> result2 = new ArrayList<UnclosedBranchDescriptor>(pred2branches);
   
    ArrayList<UnclosedBranchDescriptor> result = new ArrayList<UnclosedBranchDescriptor>();
    mergeLists(result1, result2, result);
   
//    if (!didCloseSomeBranch) {
//      // if the sink joiners do not close branches, then we have disjoint data flows.
//      throw new CompilerException("The given program contains multiple disconnected data flows.");
//    }
   
    this.openBranches = result.isEmpty() ? Collections.<UnclosedBranchDescriptor>emptyList() : result;
  }

  @Override
  protected List<OperatorDescriptorDual> getPossibleProperties() {
    return Collections.<OperatorDescriptorDual>singletonList(new UtilSinkJoinOpDescriptor());
  }

  @Override
  public void computeOutputEstimates(DataStatistics statistics) {
    // nothing to be done here
  }

  @Override
  protected void computeOperatorSpecificDefaultEstimates(DataStatistics statistics) {
    // no estimates needed at this point
  }
}
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