ValueJoinNode.java
/*
* Copyright © 2014 - 2021 Leipzig University (Database Research Group)
*
* Licensed 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.gradoop.flink.model.impl.operators.matching.single.cypher.planning.queryplan.binary;
import org.apache.commons.lang3.tuple.Pair;
import org.apache.flink.api.common.operators.base.JoinOperatorBase;
import org.apache.flink.api.java.DataSet;
import org.gradoop.flink.model.impl.operators.matching.common.MatchStrategy;
import org.gradoop.flink.model.impl.operators.matching.single.cypher.pojos.Embedding;
import org.gradoop.flink.model.impl.operators.matching.single.cypher.pojos.EmbeddingMetaData;
import org.gradoop.flink.model.impl.operators.matching.single.cypher.operators.join.ValueJoin;
import org.gradoop.flink.model.impl.operators.matching.single.cypher.planning.queryplan.BinaryNode;
import org.gradoop.flink.model.impl.operators.matching.single.cypher.planning.queryplan.JoinNode;
import org.gradoop.flink.model.impl.operators.matching.single.cypher.planning.queryplan.PlanNode;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
/**
* Binary node that wraps a {@link ValueJoin} operator.
*/
public class ValueJoinNode extends BinaryNode implements JoinNode {
/**
* Vertex and Edge properties of the left side that are used for the join
*/
private final List<Pair<String, String>> leftJoinProperties;
/**
* Vertex and Edge properties of the right side that are used for the join
*/
private final List<Pair<String, String>> rightJoinProperties;
/**
* Morphism type for vertices
*/
private final MatchStrategy vertexStrategy;
/**
* Morphism type for edges
*/
private final MatchStrategy edgeStrategy;
/**
* Join hint for Flink optimizer
*/
private final JoinOperatorBase.JoinHint joinHint;
/**
* Creates a new node.
*
* @param leftChild left input plan node
* @param rightChild right right input plan node
* @param leftJoinProperties properties used for joining on the left side
* @param rightJoinProperties properties used for joining on the right side
* @param vertexStrategy morphism setting for vertices
* @param edgeStrategy morphism setting for edges
*/
public ValueJoinNode(PlanNode leftChild, PlanNode rightChild,
List<Pair<String, String>> leftJoinProperties, List<Pair<String, String>> rightJoinProperties,
MatchStrategy vertexStrategy, MatchStrategy edgeStrategy) {
this(leftChild, rightChild, leftJoinProperties, rightJoinProperties,
vertexStrategy, edgeStrategy, JoinOperatorBase.JoinHint.OPTIMIZER_CHOOSES);
}
/**
* Creates a new node.
*
* @param leftChild left input plan node
* @param rightChild right input plan node
* @param leftJoinProperties properties used for joining on the left side
* @param rightJoinProperties properties used for joining on the right side
* @param vertexStrategy morphism setting for vertices
* @param edgeStrategy morphism setting for edges
* @param joinHint Join hint for the Flink optimizer
*/
public ValueJoinNode(PlanNode leftChild, PlanNode rightChild,
List<Pair<String, String>> leftJoinProperties, List<Pair<String, String>> rightJoinProperties,
MatchStrategy vertexStrategy, MatchStrategy edgeStrategy,
JoinOperatorBase.JoinHint joinHint) {
super(leftChild, rightChild);
this.leftJoinProperties = leftJoinProperties;
this.rightJoinProperties = rightJoinProperties;
this.vertexStrategy = vertexStrategy;
this.edgeStrategy = edgeStrategy;
this.joinHint = joinHint;
}
@Override
public DataSet<Embedding> execute() {
ValueJoin op = new ValueJoin(getLeftChild().execute(), getRightChild().execute(),
getJoinPropertiesLeft(), getJoinPropertiesRight(),
getRightChild().getEmbeddingMetaData().getEntryCount(),
getDistinctVertexColumnsLeft(), getDistinctVertexColumnsRight(),
getDistinctEdgeColumnsLeft(), getDistinctEdgeColumnsRight(),
joinHint);
op.setName(this.toString());
return op.evaluate();
}
@Override
protected EmbeddingMetaData computeEmbeddingMetaData() {
EmbeddingMetaData leftInputMetaData = getLeftChild().getEmbeddingMetaData();
EmbeddingMetaData rightInputMetaData = getRightChild().getEmbeddingMetaData();
EmbeddingMetaData embeddingMetaData = new EmbeddingMetaData(leftInputMetaData);
int entryCount = leftInputMetaData.getEntryCount();
// append the non-join entry mappings from the right to the left side
for (String var : rightInputMetaData.getVariables()) {
embeddingMetaData.setEntryColumn(var, rightInputMetaData.getEntryType(var), entryCount++);
}
// append all property mappings from the right to the left side
int propertyCount = leftInputMetaData.getPropertyCount();
for (String var : rightInputMetaData.getVariables()) {
for (String key : rightInputMetaData.getPropertyKeys(var)) {
embeddingMetaData.setPropertyColumn(var, key, propertyCount++);
}
}
return embeddingMetaData;
}
/**
* Computes the column indices of the left embeddings join properties according to its
* associated meta data.
*
* @return join property columns of the left embedding
*/
private List<Integer> getJoinPropertiesLeft() {
return leftJoinProperties.stream()
.map(p -> getLeftChild().getEmbeddingMetaData().getPropertyColumn(p.getKey(), p.getValue()))
.collect(Collectors.toList());
}
/**
* Computes the column indices of the right embeddings join properties according to its
* associated meta data.
*
* @return join property columns of the right embedding
*/
private List<Integer> getJoinPropertiesRight() {
return rightJoinProperties.stream()
.map(p -> getRightChild().getEmbeddingMetaData().getPropertyColumn(p.getKey(), p.getValue()))
.collect(Collectors.toList());
}
/**
* According to the specified {@link ValueJoinNode#vertexStrategy}, the method returns
* the columns that need to contain distinct entries in the left embedding.
*
* @return distinct vertex columns of the left embedding
*/
private List<Integer> getDistinctVertexColumnsLeft() {
return getDistinctVertexColumns(getLeftChild().getEmbeddingMetaData());
}
/**
* According to the specified {@link ValueJoinNode#vertexStrategy}, the method returns
* the columns that need to contain distinct entries in the right embedding.
*
* @return distinct vertex columns of the right embedding
*/
private List<Integer> getDistinctVertexColumnsRight() {
return getDistinctVertexColumns(getRightChild().getEmbeddingMetaData());
}
/**
* According to the specified {@link ValueJoinNode#vertexStrategy} and the specified
* {@link EmbeddingMetaData}, the method returns the columns that need to contain distinct
* entries.
*
* @param metaData meta data for the embedding
* @return distinct vertex columns
*/
private List<Integer> getDistinctVertexColumns(final EmbeddingMetaData metaData) {
return vertexStrategy == MatchStrategy.ISOMORPHISM ?
metaData.getVertexVariables().stream()
.map(metaData::getEntryColumn)
.collect(Collectors.toList()) : Collections.emptyList();
}
/**
* According to the specified {@link ValueJoinNode#edgeStrategy}, the method returns
* the columns that need to contain distinct entries in the left embedding.
*
* @return distinct edge columns of the left embedding
*/
private List<Integer> getDistinctEdgeColumnsLeft() {
return getDistinctEdgeColumns(getLeftChild().getEmbeddingMetaData());
}
/**
* According to the specified {@link ValueJoinNode#edgeStrategy}, the method returns
* the columns that need to contain distinct entries in the right embedding.
*
* @return distinct edge columns of the right embedding
*/
private List<Integer> getDistinctEdgeColumnsRight() {
return getDistinctEdgeColumns(getRightChild().getEmbeddingMetaData());
}
/**
* According to the specified {@link ValueJoinNode#edgeStrategy} and the specified
* {@link EmbeddingMetaData}, the method returns the columns that need to contain distinct
* entries.
*
* @param metaData meta data for the embedding
* @return distinct edge columns
*/
private List<Integer> getDistinctEdgeColumns(EmbeddingMetaData metaData) {
return edgeStrategy == MatchStrategy.ISOMORPHISM ?
metaData.getEdgeVariables().stream()
.map(metaData::getEntryColumn)
.collect(Collectors.toList()) : Collections.emptyList();
}
@Override
public String toString() {
return String.format("ValueJoinNode{" +
"leftJoinProperties=%s, " +
"rightJoinProperties=%s, " +
"vertexMorphismType=%s, " +
"edgeMorphismType=%s}",
leftJoinProperties, rightJoinProperties, vertexStrategy, edgeStrategy);
}
}