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Posted to issues@flink.apache.org by greghogan <gi...@git.apache.org> on 2016/05/23 16:51:22 UTC

[GitHub] flink pull request: [FLINK-3945] [gelly] Degree annotation for dir...

GitHub user greghogan opened a pull request:

    https://github.com/apache/flink/pull/2021

    [FLINK-3945] [gelly] Degree annotation for directed graphs

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/greghogan/flink 3945_degree_annotation_for_directed_graphs

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/2021.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #2021
    
----
commit 2f79f88cbf32b84fe544232390ab2b6deee1ed0f
Author: Greg Hogan <co...@greghogan.com>
Date:   2016-05-20T16:54:16Z

    [FLINK-3945] [gelly] Degree annotation for directed graphs

----


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[GitHub] flink pull request: [FLINK-3945] [gelly] Degree annotation for dir...

Posted by greghogan <gi...@git.apache.org>.
Github user greghogan commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2021#discussion_r64587577
  
    --- Diff: flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/asm/degree/annotate/directed/EdgeDegreesPair.java ---
    @@ -0,0 +1,81 @@
    +/*
    + * 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.graph.asm.degree.annotate.directed;
    +
    +import org.apache.flink.api.common.ExecutionConfig;
    +import org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint;
    +import org.apache.flink.api.java.DataSet;
    +import org.apache.flink.api.java.tuple.Tuple2;
    +import org.apache.flink.api.java.tuple.Tuple3;
    +import org.apache.flink.graph.Edge;
    +import org.apache.flink.graph.Graph;
    +import org.apache.flink.graph.GraphAlgorithm;
    +import org.apache.flink.graph.Vertex;
    +import org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree;
    +import org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees;
    +
    +/**
    + * Annotates edges of a directed graph with the degree, out-degree, and
    + * in-degree of both the source and target vertices.
    + *
    + * @param <K> ID type
    + * @param <VV> vertex value type
    + * @param <EV> edge value type
    + */
    +public class EdgeDegreesPair<K, VV, EV>
    +implements GraphAlgorithm<K, VV, EV, DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>>> {
    +
    +	// Optional configuration
    +	private int parallelism = ExecutionConfig.PARALLELISM_UNKNOWN;
    +
    +	/**
    +	 * Override the operator parallelism.
    +	 *
    +	 * @param parallelism operator parallelism
    +	 * @return this
    +	 */
    +	public EdgeDegreesPair<K, VV, EV> setParallelism(int parallelism) {
    +		this.parallelism = parallelism;
    +
    +		return this;
    +	}
    +
    +	@Override
    +	public DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>> run(Graph<K, VV, EV> input)
    +			throws Exception {
    +		// s, t, d(s)
    +		DataSet<Edge<K, Tuple2<EV, Degrees>>> edgeSourceDegrees = input
    +			.run(new EdgeSourceDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// t, d(t)
    +		DataSet<Vertex<K, Degrees>> vertexDegrees = input
    +			.run(new VertexDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// s, t, (d(s), d(t))
    +		return edgeSourceDegrees
    +			.join(vertexDegrees, JoinHint.REPARTITION_HASH_SECOND)
    --- End diff --
    
    Algorithms should not expect the user to have knowledge of the input graph or divine the best configuration. Worst case for an undirected graph is twice as many vertices as edges. 


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[GitHub] flink pull request #2021: [FLINK-3945] [gelly] Degree annotation for directe...

Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:

    https://github.com/apache/flink/pull/2021


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[GitHub] flink pull request: [FLINK-3945] [gelly] Degree annotation for dir...

Posted by vasia <gi...@git.apache.org>.
Github user vasia commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2021#discussion_r64577865
  
    --- Diff: flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/asm/degree/annotate/directed/EdgeDegreesPair.java ---
    @@ -0,0 +1,81 @@
    +/*
    + * 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.graph.asm.degree.annotate.directed;
    +
    +import org.apache.flink.api.common.ExecutionConfig;
    +import org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint;
    +import org.apache.flink.api.java.DataSet;
    +import org.apache.flink.api.java.tuple.Tuple2;
    +import org.apache.flink.api.java.tuple.Tuple3;
    +import org.apache.flink.graph.Edge;
    +import org.apache.flink.graph.Graph;
    +import org.apache.flink.graph.GraphAlgorithm;
    +import org.apache.flink.graph.Vertex;
    +import org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree;
    +import org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees;
    +
    +/**
    + * Annotates edges of a directed graph with the degree, out-degree, and
    + * in-degree of both the source and target vertices.
    + *
    + * @param <K> ID type
    + * @param <VV> vertex value type
    + * @param <EV> edge value type
    + */
    +public class EdgeDegreesPair<K, VV, EV>
    +implements GraphAlgorithm<K, VV, EV, DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>>> {
    +
    +	// Optional configuration
    +	private int parallelism = ExecutionConfig.PARALLELISM_UNKNOWN;
    +
    +	/**
    +	 * Override the operator parallelism.
    +	 *
    +	 * @param parallelism operator parallelism
    +	 * @return this
    +	 */
    +	public EdgeDegreesPair<K, VV, EV> setParallelism(int parallelism) {
    +		this.parallelism = parallelism;
    +
    +		return this;
    +	}
    +
    +	@Override
    +	public DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>> run(Graph<K, VV, EV> input)
    +			throws Exception {
    +		// s, t, d(s)
    +		DataSet<Edge<K, Tuple2<EV, Degrees>>> edgeSourceDegrees = input
    +			.run(new EdgeSourceDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// t, d(t)
    +		DataSet<Vertex<K, Degrees>> vertexDegrees = input
    +			.run(new VertexDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// s, t, (d(s), d(t))
    +		return edgeSourceDegrees
    +			.join(vertexDegrees, JoinHint.REPARTITION_HASH_SECOND)
    --- End diff --
    
    I'm not sure whether it's a good idea to always provide a join hint here. It's true that the vertex set is _usually_ much smaller than the edge set, but what if that's not true? Can we at least provide a way to override this configuration?


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[GitHub] flink pull request: [FLINK-3945] [gelly] Degree annotation for dir...

Posted by vasia <gi...@git.apache.org>.
Github user vasia commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2021#discussion_r64589442
  
    --- Diff: flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/asm/degree/annotate/directed/EdgeDegreesPair.java ---
    @@ -0,0 +1,81 @@
    +/*
    + * 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.graph.asm.degree.annotate.directed;
    +
    +import org.apache.flink.api.common.ExecutionConfig;
    +import org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint;
    +import org.apache.flink.api.java.DataSet;
    +import org.apache.flink.api.java.tuple.Tuple2;
    +import org.apache.flink.api.java.tuple.Tuple3;
    +import org.apache.flink.graph.Edge;
    +import org.apache.flink.graph.Graph;
    +import org.apache.flink.graph.GraphAlgorithm;
    +import org.apache.flink.graph.Vertex;
    +import org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree;
    +import org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees;
    +
    +/**
    + * Annotates edges of a directed graph with the degree, out-degree, and
    + * in-degree of both the source and target vertices.
    + *
    + * @param <K> ID type
    + * @param <VV> vertex value type
    + * @param <EV> edge value type
    + */
    +public class EdgeDegreesPair<K, VV, EV>
    +implements GraphAlgorithm<K, VV, EV, DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>>> {
    +
    +	// Optional configuration
    +	private int parallelism = ExecutionConfig.PARALLELISM_UNKNOWN;
    +
    +	/**
    +	 * Override the operator parallelism.
    +	 *
    +	 * @param parallelism operator parallelism
    +	 * @return this
    +	 */
    +	public EdgeDegreesPair<K, VV, EV> setParallelism(int parallelism) {
    +		this.parallelism = parallelism;
    +
    +		return this;
    +	}
    +
    +	@Override
    +	public DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>> run(Graph<K, VV, EV> input)
    +			throws Exception {
    +		// s, t, d(s)
    +		DataSet<Edge<K, Tuple2<EV, Degrees>>> edgeSourceDegrees = input
    +			.run(new EdgeSourceDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// t, d(t)
    +		DataSet<Vertex<K, Degrees>> vertexDegrees = input
    +			.run(new VertexDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// s, t, (d(s), d(t))
    +		return edgeSourceDegrees
    +			.join(vertexDegrees, JoinHint.REPARTITION_HASH_SECOND)
    --- End diff --
    
    I agree that we should automatically set the parameters when possible. So, I would keep this as the default setting. However, I think we should allow users that _do_ have knowledge about the input graph to either let the optimizer decide or override the default setting.


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[GitHub] flink pull request: [FLINK-3945] [gelly] Degree annotation for directed grap...

Posted by greghogan <gi...@git.apache.org>.
Github user greghogan commented on the pull request:

    https://github.com/apache/flink/pull/2021
  
    I'll merge this if there are no further comments.


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[GitHub] flink pull request: [FLINK-3945] [gelly] Degree annotation for dir...

Posted by greghogan <gi...@git.apache.org>.
Github user greghogan commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2021#discussion_r64594890
  
    --- Diff: flink-libraries/flink-gelly/src/main/java/org/apache/flink/graph/asm/degree/annotate/directed/EdgeDegreesPair.java ---
    @@ -0,0 +1,81 @@
    +/*
    + * 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.graph.asm.degree.annotate.directed;
    +
    +import org.apache.flink.api.common.ExecutionConfig;
    +import org.apache.flink.api.common.operators.base.JoinOperatorBase.JoinHint;
    +import org.apache.flink.api.java.DataSet;
    +import org.apache.flink.api.java.tuple.Tuple2;
    +import org.apache.flink.api.java.tuple.Tuple3;
    +import org.apache.flink.graph.Edge;
    +import org.apache.flink.graph.Graph;
    +import org.apache.flink.graph.GraphAlgorithm;
    +import org.apache.flink.graph.Vertex;
    +import org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree;
    +import org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees;
    +
    +/**
    + * Annotates edges of a directed graph with the degree, out-degree, and
    + * in-degree of both the source and target vertices.
    + *
    + * @param <K> ID type
    + * @param <VV> vertex value type
    + * @param <EV> edge value type
    + */
    +public class EdgeDegreesPair<K, VV, EV>
    +implements GraphAlgorithm<K, VV, EV, DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>>> {
    +
    +	// Optional configuration
    +	private int parallelism = ExecutionConfig.PARALLELISM_UNKNOWN;
    +
    +	/**
    +	 * Override the operator parallelism.
    +	 *
    +	 * @param parallelism operator parallelism
    +	 * @return this
    +	 */
    +	public EdgeDegreesPair<K, VV, EV> setParallelism(int parallelism) {
    +		this.parallelism = parallelism;
    +
    +		return this;
    +	}
    +
    +	@Override
    +	public DataSet<Edge<K, Tuple3<EV, Degrees, Degrees>>> run(Graph<K, VV, EV> input)
    +			throws Exception {
    +		// s, t, d(s)
    +		DataSet<Edge<K, Tuple2<EV, Degrees>>> edgeSourceDegrees = input
    +			.run(new EdgeSourceDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// t, d(t)
    +		DataSet<Vertex<K, Degrees>> vertexDegrees = input
    +			.run(new VertexDegrees<K, VV, EV>()
    +				.setParallelism(parallelism));
    +
    +		// s, t, (d(s), d(t))
    +		return edgeSourceDegrees
    +			.join(vertexDegrees, JoinHint.REPARTITION_HASH_SECOND)
    --- End diff --
    
    I'm amenable to adding this configuration if we can show noticeably improved performance. Choosing a bad `JoinHint` will result in significantly degraded performance for most graphs in addition to adding to the user's cognitive load.


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