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[dbs-leipzig#1559] add help functions
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19 changes: 19 additions & 0 deletions
19
...c/main/java/org/gradoop/temporal/model/impl/operators/metric/functions/AggregateType.java
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package org.gradoop.temporal.model.impl.operators.metric.functions; | ||
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/** | ||
* Enum for defining an aggregate type. | ||
*/ | ||
public enum AggregateType { | ||
/** | ||
* Minimum aggregation. | ||
*/ | ||
MIN, | ||
/** | ||
* Maximum aggregation. | ||
*/ | ||
MAX, | ||
/** | ||
* Average aggregation. | ||
*/ | ||
AVG | ||
} |
49 changes: 49 additions & 0 deletions
49
...rg/gradoop/temporal/model/impl/operators/metric/functions/ExtractAllTimePointsReduce.java
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/* | ||
* 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.temporal.model.impl.operators.metric.functions; | ||
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import org.apache.flink.api.common.functions.GroupReduceFunction; | ||
import org.apache.flink.api.java.tuple.Tuple1; | ||
import org.apache.flink.api.java.tuple.Tuple2; | ||
import org.apache.flink.util.Collector; | ||
import org.gradoop.common.model.impl.id.GradoopId; | ||
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import java.util.SortedSet; | ||
import java.util.TreeMap; | ||
import java.util.TreeSet; | ||
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/** | ||
* Reduce function to extract all timestamps where the degree of a vertex changes. | ||
*/ | ||
public class ExtractAllTimePointsReduce implements GroupReduceFunction<Tuple2<GradoopId, TreeMap<Long, Integer>>, Tuple1<Long>> { | ||
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public ExtractAllTimePointsReduce() { | ||
} | ||
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@Override | ||
public void reduce(Iterable<Tuple2<GradoopId, TreeMap<Long, Integer>>> iterable, Collector<Tuple1<Long>> collector) throws Exception { | ||
SortedSet<Long> timePoints = new TreeSet<>(); | ||
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for (Tuple2<GradoopId, TreeMap<Long, Integer>> tuple : iterable) { | ||
timePoints.addAll(tuple.f1.keySet()); | ||
} | ||
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for (Long timePoint: timePoints) { | ||
collector.collect(new Tuple1<>(timePoint)); | ||
} | ||
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} | ||
} |
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127
...op/temporal/model/impl/operators/metric/functions/GroupDegreeTreesToAggregateDegrees.java
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/* | ||
* 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.temporal.model.impl.operators.metric.functions; | ||
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import org.apache.flink.api.common.functions.GroupReduceFunction; | ||
import org.apache.flink.api.java.DataSet; | ||
import org.apache.flink.api.java.tuple.Tuple1; | ||
import org.apache.flink.api.java.tuple.Tuple2; | ||
import org.apache.flink.util.Collector; | ||
import org.gradoop.common.model.impl.id.GradoopId; | ||
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import java.util.*; | ||
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/** | ||
* A group reduce function that merges all Tuples (vId, degreeTree) to a dataset of tuples (time, aggDegree) | ||
* that represents the aggregated degree value for the whole graph at the given time. | ||
*/ | ||
public class GroupDegreeTreesToAggregateDegrees | ||
implements GroupReduceFunction<Tuple2<GradoopId, TreeMap<Long, Integer>>, Tuple2<Long, Integer>> { | ||
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/** | ||
* The aggregate type to use (min,max,avg). | ||
*/ | ||
private final AggregateType aggregateType; | ||
/** | ||
* The timestamps where at least one vertex degree changes. | ||
*/ | ||
private final SortedSet<Long> timePoints; | ||
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/** | ||
* Creates an instance of this group reduce function. | ||
* | ||
* @param aggregateType the aggregate type to use (min,max,avg). | ||
*/ | ||
public GroupDegreeTreesToAggregateDegrees(AggregateType aggregateType, DataSet<Tuple1<Long>> timePoints) { | ||
this.aggregateType = aggregateType; | ||
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List<Tuple1<Long>> tuples; | ||
try { | ||
tuples = timePoints.collect(); | ||
this.timePoints = null; | ||
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for (int i = 0; i < timePoints.count(); i = i + 1) { | ||
this.timePoints.add(tuples.get(i).getField(0)); | ||
} | ||
} catch (Exception e) { | ||
throw new RuntimeException(e); | ||
} | ||
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} | ||
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@Override | ||
public void reduce(Iterable<Tuple2<GradoopId, TreeMap<Long, Integer>>> iterable, | ||
Collector<Tuple2<Long, Integer>> collector) throws Exception { | ||
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// init necessary maps and set | ||
HashMap<GradoopId, TreeMap<Long, Integer>> degreeTrees = new HashMap<>(); | ||
HashMap<GradoopId, Integer> vertexDegrees = new HashMap<>(); | ||
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// convert the iterables to a hashmap and remember all possible timestamps | ||
for (Tuple2<GradoopId, TreeMap<Long, Integer>> tuple : iterable) { | ||
degreeTrees.put(tuple.f0, tuple.f1); | ||
} | ||
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int numberOfVertices = degreeTrees.size(); | ||
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// Add default times | ||
timePoints.add(Long.MIN_VALUE); | ||
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for (Long timePoint : timePoints) { | ||
// skip last default time | ||
if (Long.MAX_VALUE == timePoint) { | ||
continue; | ||
} | ||
// Iterate over all vertices | ||
for (Map.Entry<GradoopId, TreeMap<Long, Integer>> entry : degreeTrees.entrySet()) { | ||
// Make sure the vertex is registered in the current vertexDegrees capture | ||
if (!vertexDegrees.containsKey(entry.getKey())) { | ||
vertexDegrees.put(entry.getKey(), 0); | ||
} | ||
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// Check if timestamp is in tree, if not, take the lower key | ||
if (entry.getValue().containsKey(timePoint)) { | ||
vertexDegrees.put(entry.getKey(), entry.getValue().get(timePoint)); | ||
} else { | ||
Long lowerKey = entry.getValue().lowerKey(timePoint); | ||
if (lowerKey != null) { | ||
vertexDegrees.put(entry.getKey(), entry.getValue().get(lowerKey)); | ||
} | ||
} | ||
} | ||
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// Here, every tree with this time point is iterated. Now we need to aggregate for the current time. | ||
Optional<Integer> opt; | ||
switch (aggregateType) { | ||
case MIN: | ||
opt = vertexDegrees.values().stream().reduce(Math::min); | ||
opt.ifPresent(integer -> collector.collect(new Tuple2<>(timePoint, integer))); | ||
break; | ||
case MAX: | ||
opt = vertexDegrees.values().stream().reduce(Math::max); | ||
opt.ifPresent(integer -> collector.collect(new Tuple2<>(timePoint, integer))); | ||
break; | ||
case AVG: | ||
opt = vertexDegrees.values().stream().reduce(Math::addExact); | ||
opt.ifPresent(integer -> collector.collect( | ||
new Tuple2<>(timePoint, (int) Math.ceil((double) integer / (double) numberOfVertices)))); | ||
break; | ||
default: | ||
throw new IllegalArgumentException("Aggregate type not specified."); | ||
} | ||
} | ||
} | ||
} |
55 changes: 55 additions & 0 deletions
55
...op/temporal/model/impl/operators/metric/functions/TransformDeltaToAbsoluteDegreeTree.java
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/* | ||
* 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.temporal.model.impl.operators.metric.functions; | ||
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import org.apache.flink.api.common.functions.MapFunction; | ||
import org.apache.flink.api.java.functions.FunctionAnnotation; | ||
import org.apache.flink.api.java.tuple.Tuple2; | ||
import org.gradoop.common.model.impl.id.GradoopId; | ||
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import java.util.Map; | ||
import java.util.TreeMap; | ||
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/** | ||
* Replaces the degree tree, that just stores the degree changes for each time, with a degree tree that | ||
* stores the actual degree of the vertex at that time. | ||
*/ | ||
@FunctionAnnotation.ForwardedFields("f0") | ||
public class TransformDeltaToAbsoluteDegreeTree | ||
implements MapFunction<Tuple2<GradoopId, TreeMap<Long, Integer>>, | ||
Tuple2<GradoopId, TreeMap<Long, Integer>>> { | ||
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/** | ||
* To reduce object instantiations. | ||
*/ | ||
private TreeMap<Long, Integer> absoluteDegreeTree; | ||
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@Override | ||
public Tuple2<GradoopId, TreeMap<Long, Integer>> map( | ||
Tuple2<GradoopId, TreeMap<Long, Integer>> vIdTreeMapTuple) throws Exception { | ||
// init the degree and the temporal tree | ||
int degree = 0; | ||
absoluteDegreeTree = new TreeMap<>(); | ||
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// aggregate the degrees | ||
for (Map.Entry<Long, Integer> entry : vIdTreeMapTuple.f1.entrySet()) { | ||
degree += entry.getValue(); | ||
absoluteDegreeTree.put(entry.getKey(), degree); | ||
} | ||
vIdTreeMapTuple.f1 = absoluteDegreeTree; | ||
return vIdTreeMapTuple; | ||
} | ||
} |