A B C D E F G H I J K L M N O P R S T U V W

A

AbstractGeneratorFactory<T extends org.apache.commons.math3.random.RandomGenerator> - Class in org.apache.flink.graph.generator.random

This base class handles the task of dividing the requested work into the appropriate number of blocks of near-equal size.

AbstractGeneratorFactory() - Constructor for class org.apache.flink.graph.generator.random.AbstractGeneratorFactory

AbstractGraphAnalytic<K,VV,EV,T> - Class in org.apache.flink.graph

Base class for GraphAnalytic.

AbstractGraphAnalytic() - Constructor for class org.apache.flink.graph.AbstractGraphAnalytic

AbstractGraphGenerator<K,VV,EV> - Class in org.apache.flink.graph.generator

AbstractGraphGenerator() - Constructor for class org.apache.flink.graph.generator.AbstractGraphGenerator

AdamicAdar<K extends org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.similarity

http://social.cs.uiuc.edu/class/cs591kgk/friendsadamic.pdf
Adamic-Adar measures the similarity between pairs of vertices as the sum of the inverse logarithm of degree over shared neighbors.

AdamicAdar() - Constructor for class org.apache.flink.graph.library.similarity.AdamicAdar

AdamicAdar.Result<T> - Class in org.apache.flink.graph.library.similarity

Wraps the vertex type to encapsulate results from the Adamic-Adar algorithm.

addBroadcastSet(String, DataSet<?>) - Method in class org.apache.flink.graph.pregel.VertexCentricConfiguration

Adds a data set as a broadcast set to the compute function.

addBroadcastSetForApplyFunction(String, DataSet<?>) - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Adds a data set as a broadcast set to the apply function.

addBroadcastSetForGatherFunction(String, DataSet<?>) - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Adds a data set as a broadcast set to the gather function.

addBroadcastSetForGatherFunction(String, DataSet<?>) - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Adds a data set as a broadcast set to the gather function.

addBroadcastSetForScatterFunction(String, DataSet<?>) - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Adds a data set as a broadcast set to the scatter function.

addBroadcastSetForSumFunction(String, DataSet<?>) - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Adds a data set as a broadcast set to the sum function.

addDimension(long, boolean) - Method in class org.apache.flink.graph.generator.GridGraph

Required configuration for each dimension of the graph.

addEdge(Vertex<K, VV>, Vertex<K, VV>, EV) - Method in class org.apache.flink.graph.Graph

Adds the given edge to the graph.

addEdges(List<Edge<K, EV>>) - Method in class org.apache.flink.graph.Graph

Adds the given list edges to the graph.

AddLongValue() - Constructor for class org.apache.flink.graph.utils.GraphUtils.AddLongValue

AddScoreToVertexValuesMapper() - Constructor for class org.apache.flink.graph.library.CommunityDetection.AddScoreToVertexValuesMapper

addVertex(Vertex<K, VV>) - Method in class org.apache.flink.graph.Graph

Adds the input vertex to the graph.

addVertices(List<Vertex<K, VV>>) - Method in class org.apache.flink.graph.Graph

Adds the list of vertices, passed as input, to the graph.

apply(M, VV) - Method in class org.apache.flink.graph.gsa.ApplyFunction

This method is invoked once per superstep, after the SumFunction in a GatherSumApplyIteration.

ApplyFunction<K,VV,M> - Class in org.apache.flink.graph.gsa

The base class for the third and last step of a GatherSumApplyIteration.

ApplyFunction() - Constructor for class org.apache.flink.graph.gsa.ApplyFunction

B

BlockInfo<T extends org.apache.commons.math3.random.RandomGenerator> - Class in org.apache.flink.graph.generator.random

Defines a source of randomness and a unit of work.

BlockInfo(RandomGenerable<T>, int, int, long, long) - Constructor for class org.apache.flink.graph.generator.random.BlockInfo

C

CCMessenger(TypeInformation<VV>) - Constructor for class org.apache.flink.graph.library.ConnectedComponents.CCMessenger

CCUpdater() - Constructor for class org.apache.flink.graph.library.ConnectedComponents.CCUpdater

ChecksumHashCode<K,VV,EV> - Class in org.apache.flink.graph.library.metric

Convenience method to get the count (number of elements) of a Graph as well as the checksum (sum over element hashes).

ChecksumHashCode() - Constructor for class org.apache.flink.graph.library.metric.ChecksumHashCode

combine(Iterable<Tuple2<K, Either<NullValue, Message>>>, Collector<Tuple2<K, Either<NullValue, Message>>>) - Method in class org.apache.flink.graph.pregel.VertexCentricIteration.MessageCombinerUdf

combineMessages(MessageIterator<Message>) - Method in class org.apache.flink.graph.pregel.MessageCombiner

Combines messages sent from different vertices to a target vertex.

CommunityDetection<K> - Class in org.apache.flink.graph.library

Community Detection Algorithm.

CommunityDetection(int, double) - Constructor for class org.apache.flink.graph.library.CommunityDetection

Creates a new Community Detection algorithm instance.

CommunityDetection.AddScoreToVertexValuesMapper<K> - Class in org.apache.flink.graph.library

CommunityDetection.LabelMessenger<K> - Class in org.apache.flink.graph.library

CommunityDetection.RemoveScoreFromVertexValuesMapper<K> - Class in org.apache.flink.graph.library

CommunityDetection.VertexLabelUpdater<K> - Class in org.apache.flink.graph.library

CompleteGraph - Class in org.apache.flink.graph.generator

CompleteGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.CompleteGraph

An undirected Graph connecting every distinct pair of vertices.

CompleteGraph.LinkVertexToAll - Class in org.apache.flink.graph.generator

compute(Vertex<K, VV>, MessageIterator<Message>) - Method in class org.apache.flink.graph.pregel.ComputeFunction

This method is invoked once per superstep, for each active vertex.

ComputeFunction<K,VV,EV,Message> - Class in org.apache.flink.graph.pregel

The base class for the message-passing functions between vertices as a part of a VertexCentricIteration.

ComputeFunction() - Constructor for class org.apache.flink.graph.pregel.ComputeFunction

configure(GSAConfiguration) - Method in class org.apache.flink.graph.gsa.GatherSumApplyIteration

Configures this gather-sum-apply iteration with the provided parameters.

configure(VertexCentricConfiguration) - Method in class org.apache.flink.graph.pregel.VertexCentricIteration

Configures this vertex-centric iteration with the provided parameters.

configure(ScatterGatherConfiguration) - Method in class org.apache.flink.graph.spargel.ScatterGatherIteration

Configures this scatter-gather iteration with the provided parameters.

conflictsWith(OptionalBoolean) - Method in class org.apache.flink.graph.utils.proxy.OptionalBoolean

The conflicting states are true with false and false with true.

ConnectedComponents<K,VV extends Comparable<VV>,EV> - Class in org.apache.flink.graph.library

A scatter-gather implementation of the Weakly Connected Components algorithm.

ConnectedComponents(Integer) - Constructor for class org.apache.flink.graph.library.ConnectedComponents

Creates an instance of the Connected Components algorithm.

ConnectedComponents.CCMessenger<K,VV extends Comparable<VV>> - Class in org.apache.flink.graph.library

Sends the current vertex value to all adjacent vertices.

ConnectedComponents.CCUpdater<K,VV extends Comparable<VV>> - Class in org.apache.flink.graph.library

Updates the value of a vertex by picking the minimum neighbor value out of all the incoming messages.

copyFrom(TriangleEnumerator.EdgeWithDegrees<K>) - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

count(DataSet<T>) - Static method in class org.apache.flink.graph.utils.GraphUtils

Count the number of elements in a DataSet.

createResult() - Method in class org.apache.flink.graph.gsa.GatherSumApplyIteration

Computes the results of the gather-sum-apply iteration

createResult() - Method in class org.apache.flink.graph.pregel.VertexCentricIteration

Creates the operator that represents this vertex-centric graph computation.

createResult() - Method in class org.apache.flink.graph.spargel.ScatterGatherIteration

Creates the operator that represents this scatter-gather graph computation.

CycleGraph - Class in org.apache.flink.graph.generator

CycleGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.CycleGraph

An undirected Graph where all edges form a single cycle.

D

D1 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

D2 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

DEFAULT_A - Static variable in class org.apache.flink.graph.generator.RMatGraph

DEFAULT_B - Static variable in class org.apache.flink.graph.generator.RMatGraph

DEFAULT_C - Static variable in class org.apache.flink.graph.generator.RMatGraph

DEFAULT_GROUP_SIZE - Static variable in class org.apache.flink.graph.library.similarity.JaccardIndex

DEFAULT_NOISE - Static variable in class org.apache.flink.graph.generator.RMatGraph

DEFAULT_SEED - Static variable in class org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory

DEFAULT_SEED - Static variable in class org.apache.flink.graph.generator.random.MersenneTwisterFactory

DegreeAnnotationFunctions - Class in org.apache.flink.graph.asm.degree.annotate

DegreeAnnotationFunctions() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions

DegreeAnnotationFunctions.DegreeCount<K> - Class in org.apache.flink.graph.asm.degree.annotate

Combines the vertex degree count.

DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree<K,EV,D> - Class in org.apache.flink.graph.asm.degree.annotate

Composes the vertex degree with this edge value.

DegreeAnnotationFunctions.JoinEdgeWithVertexDegree<K,EV,D> - Class in org.apache.flink.graph.asm.degree.annotate

Assigns the vertex degree to this edge value.

DegreeAnnotationFunctions.JoinVertexWithVertexDegree<K,VV> - Class in org.apache.flink.graph.asm.degree.annotate

Performs a left outer join to apply a zero count for vertices with out- or in-degree of zero.

DegreeAnnotationFunctions.MapEdgeToSourceId<K,EV> - Class in org.apache.flink.graph.asm.degree.annotate

Emits the source vertex ID along with an initial count.

DegreeAnnotationFunctions.MapEdgeToTargetId<K,EV> - Class in org.apache.flink.graph.asm.degree.annotate

Emits the target vertex ID along with an initial count.

DegreeCount() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.DegreeCount

Degrees() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees

Degrees(LongValue, LongValue, LongValue) - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees

Delegate<X> - Class in org.apache.flink.graph.utils.proxy

Wraps an object with a proxy delegate whose method handler invokes all method calls on the wrapped object.

Delegate(X) - Constructor for class org.apache.flink.graph.utils.proxy.Delegate

Set the initial delegated object.

Delegate.ReferentProxy<Y> - Interface in org.apache.flink.graph.utils.proxy

This interface provides access via the proxy handler to the original object being proxied.

difference(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.Graph

Performs Difference on the vertex and edge sets of the input graphs removes common vertices and edges.

E

Edge<K,V> - Class in org.apache.flink.graph

An Edge represents a link between two vertices, the source and the target and can carry an attached value.

Edge() - Constructor for class org.apache.flink.graph.Edge

Edge(K, K, V) - Constructor for class org.apache.flink.graph.Edge

EdgeDegreePair<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.undirected

Annotates edges of an undirected graph with the degree of both the source and target degree vertices.

EdgeDegreePair() - Constructor for class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeDegreePair

EdgeDegreesPair<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.directed

Annotates edges of a directed graph with the degree, out-degree, and in-degree of both the source and target vertices.

EdgeDegreesPair() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.EdgeDegreesPair

EdgeDirection - Enum in org.apache.flink.graph

The EdgeDirection is used to select a node's neighborhood by the Graph.groupReduceOnEdges(EdgesFunction, EdgeDirection), Graph.groupReduceOnEdges(EdgesFunctionWithVertexValue, EdgeDirection), Graph.groupReduceOnNeighbors(NeighborsFunction, EdgeDirection), Graph.groupReduceOnNeighbors(NeighborsFunctionWithVertexValue, EdgeDirection), Graph.reduceOnEdges(ReduceEdgesFunction, EdgeDirection) and Graph.reduceOnNeighbors(ReduceNeighborsFunction, EdgeDirection) methods.

edgeJoin(EV, T) - Method in interface org.apache.flink.graph.EdgeJoinFunction

Applies a transformation on the current edge value and the value of the matched tuple of the input DataSet.

EdgeJoinFunction<EV,T> - Interface in org.apache.flink.graph

Interface to be implemented by the transformation function applied in Graph.joinWithEdges(DataSet, EdgeJoinFunction), Graph.joinWithEdgesOnSource(DataSet, EdgeJoinFunction), and Graph.joinWithEdgesOnTarget(DataSet, EdgeJoinFunction) methods.

EdgeOrder - Enum in org.apache.flink.graph

These bitmasks are used by edge-flipping algorithms to mark the edge order relative to the original edge direction.

edgeReader - Variable in class org.apache.flink.graph.GraphCsvReader

EdgesFunction<K,EV,O> - Interface in org.apache.flink.graph

Interface to be implemented by the function applied to a vertex neighborhood in the Graph.groupReduceOnEdges(EdgesFunction, EdgeDirection) method.

EdgesFunctionWithVertexValue<K,VV,EV,O> - Interface in org.apache.flink.graph

Interface to be implemented by the function applied to a vertex neighborhood in the Graph.groupReduceOnEdges(EdgesFunctionWithVertexValue, EdgeDirection) method.

EdgeSourceDegree<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.undirected

Annotates edges of an undirected graph with degree of the source vertex.

EdgeSourceDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeSourceDegree

EdgeSourceDegrees<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.directed

Annotates edges of a directed graph with the degree, out-degree, and in-degree of the source vertex.

EdgeSourceDegrees() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.EdgeSourceDegrees

EdgeTargetDegree<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.undirected

Annotates edges of an undirected graph with degree of the target vertex.

EdgeTargetDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeTargetDegree

EdgeTargetDegrees<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.directed

Annotates edges of a directed graph with the degree, out-degree, and in-degree of the target vertex.

EdgeTargetDegrees() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.EdgeTargetDegrees

EdgeToTuple3Map<K,EV> - Class in org.apache.flink.graph.utils

Create a Tuple3 DataSet from an Edge DataSet

EdgeToTuple3Map() - Constructor for class org.apache.flink.graph.utils.EdgeToTuple3Map

edgeTypes(Class<K>, Class<EV>) - Method in class org.apache.flink.graph.GraphCsvReader

Creates a Graph from CSV input with edge values, but without vertex values.

edgeValue - Variable in class org.apache.flink.graph.GraphCsvReader

EdgeValue() - Constructor for class org.apache.flink.graph.library.Summarization.EdgeValue

EdgeWithDegrees() - Constructor for class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

EmptyGraph - Class in org.apache.flink.graph.generator

EmptyGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.EmptyGraph

The Graph containing no edges.

env - Variable in class org.apache.flink.graph.AbstractGraphAnalytic

equals(Object) - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

equals(Object) - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

equals(Object) - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

equals(Object) - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

equals(Object) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

equals(Object) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

execute() - Method in class org.apache.flink.graph.AbstractGraphAnalytic

execute(String) - Method in class org.apache.flink.graph.AbstractGraphAnalytic

execute() - Method in interface org.apache.flink.graph.GraphAnalytic

Execute the program and return the result.

execute(String) - Method in interface org.apache.flink.graph.GraphAnalytic

Execute the program and return the result.

F

fieldDelimiterEdges(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures the Delimiter that separates fields in a row for the CSV reader used to read the edges (',') is used by default.

fieldDelimiterVertices(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures the Delimiter that separates fields in a row for the CSV reader used to read the vertices (',') is used by default.

filterOnEdges(FilterFunction<Edge<K, EV>>) - Method in class org.apache.flink.graph.Graph

Apply a filtering function to the graph and return a sub-graph that satisfies the predicates only for the edges.

filterOnVertices(FilterFunction<Vertex<K, VV>>) - Method in class org.apache.flink.graph.Graph

Apply a filtering function to the graph and return a sub-graph that satisfies the predicates only for the vertices.

flatMap(LongValue, Collector<Edge<LongValue, NullValue>>) - Method in class org.apache.flink.graph.generator.CompleteGraph.LinkVertexToAll

flatMap(LongValue, Collector<Edge<LongValue, NullValue>>) - Method in class org.apache.flink.graph.generator.GridGraph.LinkVertexToNeighbors

flatMap(LongValue, Collector<Edge<LongValue, NullValue>>) - Method in class org.apache.flink.graph.generator.StarGraph.LinkVertexToCenter

fromCollection(Collection<Vertex<K, VV>>, Collection<Edge<K, EV>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a Collection of vertices and a Collection of edges.

fromCollection(Collection<Edge<K, EV>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a Collection of edges.

fromCollection(Collection<Edge<K, EV>>, MapFunction<K, VV>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a Collection of edges.

fromCsvReader(String, String, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a Graph from a CSV file of vertices and a CSV file of edges.

fromCsvReader(String, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a CSV file of edges.

fromCsvReader(String, MapFunction<K, VV>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a CSV file of edges.

fromDataSet(DataSet<Vertex<K, VV>>, DataSet<Edge<K, EV>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of vertices and a DataSet of edges.

fromDataSet(DataSet<Edge<K, EV>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of edges.

fromDataSet(DataSet<Edge<K, EV>>, MapFunction<K, VV>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of edges.

fromTuple2DataSet(DataSet<Tuple2<K, K>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of Tuple2 objects for edges.

fromTuple2DataSet(DataSet<Tuple2<K, K>>, MapFunction<K, VV>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of Tuple2 objects for edges.

fromTupleDataSet(DataSet<Tuple2<K, VV>>, DataSet<Tuple3<K, K, EV>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of Tuple2 objects for vertices and Tuple3 objects for edges.

fromTupleDataSet(DataSet<Tuple3<K, K, EV>>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of Tuple3 objects for edges.

fromTupleDataSet(DataSet<Tuple3<K, K, EV>>, MapFunction<K, VV>, ExecutionEnvironment) - Static method in class org.apache.flink.graph.Graph

Creates a graph from a DataSet of Tuple3 objects for edges.

G

gather(Neighbor<VV, EV>) - Method in class org.apache.flink.graph.gsa.GatherFunction

This method is invoked once per superstep, for each Neighbor of each Vertex in the beginning of each superstep in a GatherSumApplyIteration.

GatherFunction<VV,EV,M> - Class in org.apache.flink.graph.gsa

The base class for the first step of a GatherSumApplyIteration.

GatherFunction() - Constructor for class org.apache.flink.graph.gsa.GatherFunction

GatherFunction<K,VV,Message> - Class in org.apache.flink.graph.spargel

This class must be extended by functions that compute the state of the vertex depending on the old state and the incoming messages.

GatherFunction() - Constructor for class org.apache.flink.graph.spargel.GatherFunction

GatherSumApplyIteration<K,VV,EV,M> - Class in org.apache.flink.graph.gsa

This class represents iterative graph computations, programmed in a gather-sum-apply perspective.

generate() - Method in class org.apache.flink.graph.generator.CompleteGraph

generate() - Method in class org.apache.flink.graph.generator.CycleGraph

generate() - Method in class org.apache.flink.graph.generator.EmptyGraph

generate() - Method in interface org.apache.flink.graph.generator.GraphGenerator

Generates the configured graph.

generate() - Method in class org.apache.flink.graph.generator.GridGraph

generate() - Method in class org.apache.flink.graph.generator.HypercubeGraph

generate() - Method in class org.apache.flink.graph.generator.PathGraph

generate() - Method in class org.apache.flink.graph.generator.RMatGraph

generate() - Method in class org.apache.flink.graph.generator.SingletonEdgeGraph

generate() - Method in class org.apache.flink.graph.generator.StarGraph

generator() - Method in interface org.apache.flink.graph.generator.random.RandomGenerable

Returns an initialized RandomGenerator.

get() - Method in class org.apache.flink.graph.utils.proxy.OptionalBoolean

Get the boolean state.

getAdamicAdarScore() - Method in class org.apache.flink.graph.library.similarity.AdamicAdar.Result

Get the Adamic-Adar score, equal to the sum over common neighbors of the inverse logarithm of degree

getAggregators() - Method in class org.apache.flink.graph.IterationConfiguration

Gets the set of aggregators that are registered for this vertex-centric iteration.

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeDegreesPair

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeSourceDegrees

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeTargetDegrees

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexInDegree

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexOutDegree

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeDegreePair

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeSourceDegree

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeTargetDegree

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

getAlgorithmName() - Method in class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

getAlgorithmName() - Method in class org.apache.flink.graph.asm.simple.directed.Simplify

getAlgorithmName() - Method in class org.apache.flink.graph.asm.simple.undirected.Simplify

getAlgorithmName() - Method in class org.apache.flink.graph.asm.translate.TranslateEdgeValues

getAlgorithmName() - Method in class org.apache.flink.graph.asm.translate.TranslateGraphIds

getAlgorithmName() - Method in class org.apache.flink.graph.asm.translate.TranslateVertexValues

getAlgorithmName() - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient

getAlgorithmName() - Method in class org.apache.flink.graph.library.clustering.directed.TriangleListing

getAlgorithmName() - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient

getAlgorithmName() - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleListing

getAlgorithmName() - Method in class org.apache.flink.graph.library.link_analysis.HITS

getAlgorithmName() - Method in class org.apache.flink.graph.library.similarity.AdamicAdar

getAlgorithmName() - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

getAlgorithmName() - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

Algorithms are identified by name rather than by class to allow subclassing.

getAlgorithmName() - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

Algorithms are identified by name rather than by class to allow subclassing.

getApplyBcastVars() - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Get the broadcast variables of the ApplyFunction.

getAuthorityScore() - Method in class org.apache.flink.graph.library.link_analysis.HITS.Result

Get the authority score.

getBcastVars() - Method in class org.apache.flink.graph.pregel.VertexCentricConfiguration

Get the broadcast variables of the compute function.

getBitmask() - Method in enum org.apache.flink.graph.EdgeOrder

Returns a bitmask used for marking whether an edge is in the same direction as in the original edge set (FORWARD), is flipped relative to the original edge set (REVERSE), or both (MUTUAL).

getBlockCount() - Method in class org.apache.flink.graph.generator.random.BlockInfo

getBlockIndex() - Method in class org.apache.flink.graph.generator.random.BlockInfo

getBroadcastSet(String) - Method in class org.apache.flink.graph.gsa.ApplyFunction

Gets the broadcast data set registered under the given name.

getBroadcastSet(String) - Method in class org.apache.flink.graph.gsa.GatherFunction

Gets the broadcast data set registered under the given name.

getBroadcastSet(String) - Method in class org.apache.flink.graph.gsa.SumFunction

Gets the broadcast data set registered under the given name.

getBroadcastSet(String) - Method in class org.apache.flink.graph.pregel.ComputeFunction

Gets the broadcast data set registered under the given name.

getBroadcastSet(String) - Method in class org.apache.flink.graph.spargel.GatherFunction

Gets the broadcast data set registered under the given name.

getBroadcastSet(String) - Method in class org.apache.flink.graph.spargel.ScatterFunction

Gets the broadcast data set registered under the given name.

getContext() - Method in class org.apache.flink.graph.Graph

getDegree() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees

getDegree() - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

Get the vertex degree.

getDegree() - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result

Get the vertex degree.

getDegrees() - Method in class org.apache.flink.graph.Graph

Return the degree of all vertices in the graph

getDirection() - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Gets the direction from which the neighbors are to be selected By default the neighbors who are target of the edges are selected

getDirection() - Method in class org.apache.flink.graph.spargel.ScatterFunction

Retrieves the edge direction in which messages are propagated in the scatter-gather iteration.

getDirection() - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Gets the direction in which messages are sent in the ScatterFunction.

getDistinctNeighborCount() - Method in class org.apache.flink.graph.library.similarity.JaccardIndex.Result

Get the distinct neighbor count.

getEdge() - Method in class org.apache.flink.graph.Triplet

getEdgeGroupCount() - Method in class org.apache.flink.graph.library.Summarization.EdgeValue

getEdgeGroupValue() - Method in class org.apache.flink.graph.library.Summarization.EdgeValue

getEdgeIds() - Method in class org.apache.flink.graph.Graph

getEdges() - Method in class org.apache.flink.graph.Graph

getEdges() - Method in class org.apache.flink.graph.pregel.ComputeFunction

Gets an Iterable with all out-going edges.

getEdges() - Method in class org.apache.flink.graph.spargel.ScatterFunction

Gets an Iterable with all edges.

getEdgesAsTuple3() - Method in class org.apache.flink.graph.Graph

getEdgeValue() - Method in class org.apache.flink.graph.gsa.Neighbor

getElementCount() - Method in class org.apache.flink.graph.generator.random.BlockInfo

getFirstDegree() - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

getFirstElement() - Method in class org.apache.flink.graph.generator.random.BlockInfo

getFirstVertex() - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

getFirstVertex() - Method in class org.apache.flink.graph.library.TriangleEnumerator.Triad

getGatherBcastVars() - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Get the broadcast variables of the GatherFunction.

getGatherBcastVars() - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Get the broadcast variables of the GatherFunction.

getGlobalClusteringCoefficientScore() - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

Get the global clustering coefficient score.

getGlobalClusteringCoefficientScore() - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

Get the global clustering coefficient score.

getGroupRepresentativeId() - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

getGroupRepresentativeId() - Method in class org.apache.flink.graph.library.Summarization.VertexWithRepresentative

getHubScore() - Method in class org.apache.flink.graph.library.link_analysis.HITS.Result

Get the hub score.

getId() - Method in class org.apache.flink.graph.Vertex

getInDegree() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees

getInDegree() - Method in class org.apache.flink.graph.spargel.GatherFunction

Retrieves the vertex in-degree (number of in-coming edges).

getInDegree() - Method in class org.apache.flink.graph.spargel.ScatterFunction

Retrieves the vertex in-degree (number of in-coming edges).

getIterationAggregator(String) - Method in class org.apache.flink.graph.gsa.ApplyFunction

Gets the iteration aggregator registered under the given name.

getIterationAggregator(String) - Method in class org.apache.flink.graph.gsa.GatherFunction

Gets the iteration aggregator registered under the given name.

getIterationAggregator(String) - Method in class org.apache.flink.graph.gsa.SumFunction

Gets the iteration aggregator registered under the given name.

getIterationAggregator(String) - Method in class org.apache.flink.graph.pregel.ComputeFunction

Gets the iteration aggregator registered under the given name.

getIterationAggregator(String) - Method in class org.apache.flink.graph.spargel.GatherFunction

Gets the iteration aggregator registered under the given name.

getIterationAggregator(String) - Method in class org.apache.flink.graph.spargel.ScatterFunction

Gets the iteration aggregator registered under the given name.

getIterationConfiguration() - Method in class org.apache.flink.graph.gsa.GatherSumApplyIteration

getIterationConfiguration() - Method in class org.apache.flink.graph.pregel.VertexCentricIteration

getIterationConfiguration() - Method in class org.apache.flink.graph.spargel.ScatterGatherIteration

getJaccardIndexScore() - Method in class org.apache.flink.graph.library.similarity.JaccardIndex.Result

Get the Jaccard Index score, equal to the number of shared neighbors of the source and target vertices divided by the number of distinct neighbors.

getLocalClusteringCoefficientScore() - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

Get the local clustering coefficient score.

getLocalClusteringCoefficientScore() - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result

Get the local clustering coefficient score.

getMinimumCyclesPerBlock() - Method in class org.apache.flink.graph.generator.random.AbstractGeneratorFactory

getMinimumCyclesPerBlock() - Method in class org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory

getMinimumCyclesPerBlock() - Method in class org.apache.flink.graph.generator.random.MersenneTwisterFactory

getName(String) - Method in class org.apache.flink.graph.IterationConfiguration

Gets the name of the iteration.

getNeighborValue() - Method in class org.apache.flink.graph.gsa.Neighbor

getNumberOfEdges() - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

Get the number of edges.

getNumberOfEdges() - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

Get the number of edges.

getNumberOfTriangles() - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

Get the number of triangles.

getNumberOfTriangles() - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

Get the number of triangles.

getNumberOfTriplets() - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

Get the number of triplets.

getNumberOfTriplets() - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

Get the number of triplets.

getNumberOfTriplets() - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

Get the number of triplets.

getNumberOfTriplets() - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

Get the number of triplets.

getNumberOfVertices() - Method in class org.apache.flink.graph.gsa.ApplyFunction

Retrieves the number of vertices in the graph.

getNumberOfVertices() - Method in class org.apache.flink.graph.gsa.GatherFunction

Retrieves the number of vertices in the graph.

getNumberOfVertices() - Method in class org.apache.flink.graph.gsa.SumFunction

Retrieves the number of vertices in the graph.

getNumberOfVertices() - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

Get the number of vertices.

getNumberOfVertices() - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

Get the number of vertices.

getNumberOfVertices() - Method in class org.apache.flink.graph.spargel.GatherFunction

Retrieves the number of vertices in the graph.

getNumberOfVertices() - Method in class org.apache.flink.graph.spargel.ScatterFunction

Retrieves the number of vertices in the graph.

getOutDegree() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees

getOutDegree() - Method in class org.apache.flink.graph.spargel.GatherFunction

Retrieve the vertex out-degree (number of out-going edges).

getOutDegree() - Method in class org.apache.flink.graph.spargel.ScatterFunction

Retrieve the vertex out-degree (number of out-going edges).

getParallelism() - Method in class org.apache.flink.graph.IterationConfiguration

Gets the iteration's parallelism.

getPreviousIterationAggregate(String) - Method in class org.apache.flink.graph.gsa.ApplyFunction

Get the aggregated value that an aggregator computed in the previous iteration.

getPreviousIterationAggregate(String) - Method in class org.apache.flink.graph.gsa.GatherFunction

Get the aggregated value that an aggregator computed in the previous iteration.

getPreviousIterationAggregate(String) - Method in class org.apache.flink.graph.gsa.SumFunction

Get the aggregated value that an aggregator computed in the previous iteration.

getPreviousIterationAggregate(String) - Method in class org.apache.flink.graph.pregel.ComputeFunction

Get the aggregated value that an aggregator computed in the previous iteration.

getPreviousIterationAggregate(String) - Method in class org.apache.flink.graph.spargel.GatherFunction

Get the aggregated value that an aggregator computed in the previous iteration.

getPreviousIterationAggregate(String) - Method in class org.apache.flink.graph.spargel.ScatterFunction

Get the aggregated value that an aggregator computed in the previous iteration.

getProducedType() - Method in class org.apache.flink.graph.library.ConnectedComponents.CCMessenger

getProducedType() - Method in class org.apache.flink.graph.library.LabelPropagation.SendNewLabelToNeighbors

getProducedType() - Method in class org.apache.flink.graph.pregel.VertexCentricIteration.MessageCombinerUdf

getProxiedObject() - Method in interface org.apache.flink.graph.utils.proxy.Delegate.ReferentProxy

getProxy() - Method in class org.apache.flink.graph.utils.proxy.Delegate

Instantiates and returns a proxy object which subclasses the delegated object.

getRandomGenerable() - Method in class org.apache.flink.graph.generator.random.BlockInfo

getRandomGenerables(long, int) - Method in class org.apache.flink.graph.generator.random.AbstractGeneratorFactory

getRandomGenerables(long, int) - Method in interface org.apache.flink.graph.generator.random.RandomGenerableFactory

The amount of work (elementCount * cyclerPerElement) is used to generate a list of blocks of work of near-equal size.

getResult() - Method in interface org.apache.flink.graph.GraphAnalytic

This method must be called after the program has executed: 1) "run" analytics and algorithms 2) call ExecutionEnvironment.execute() 3) get analytic results

getResult() - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient

getResult() - Method in class org.apache.flink.graph.library.clustering.directed.TriangleCount

getResult() - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient

getResult() - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleCount

getResult() - Method in class org.apache.flink.graph.library.metric.ChecksumHashCode

getResult() - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics

getResult() - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics

getScatterBcastVars() - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Get the broadcast variables of the ScatterFunction.

getSecondDegree() - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

getSecondVertex() - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

getSecondVertex() - Method in class org.apache.flink.graph.library.TriangleEnumerator.Triad

getSharedNeighborCount() - Method in class org.apache.flink.graph.library.similarity.JaccardIndex.Result

Get the shared neighbor count.

getSource() - Method in class org.apache.flink.graph.Edge

getSrcVertex() - Method in class org.apache.flink.graph.Triplet

getState() - Method in class org.apache.flink.graph.utils.proxy.OptionalBoolean

Get the actual state.

getSumBcastVars() - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Get the broadcast variables of the SumFunction.

getSuperstepNumber() - Method in class org.apache.flink.graph.gsa.ApplyFunction

Gets the number of the superstep, starting at 1.

getSuperstepNumber() - Method in class org.apache.flink.graph.gsa.GatherFunction

Gets the number of the superstep, starting at 1.

getSuperstepNumber() - Method in class org.apache.flink.graph.gsa.SumFunction

Gets the number of the superstep, starting at 1.

getSuperstepNumber() - Method in class org.apache.flink.graph.pregel.ComputeFunction

Gets the number of the superstep, starting at 1.

getSuperstepNumber() - Method in class org.apache.flink.graph.spargel.GatherFunction

Gets the number of the superstep, starting at 1.

getSuperstepNumber() - Method in class org.apache.flink.graph.spargel.ScatterFunction

Gets the number of the superstep, starting at 1.

getTarget() - Method in class org.apache.flink.graph.Edge

getThirdVertex() - Method in class org.apache.flink.graph.library.TriangleEnumerator.Triad

getTrgVertex() - Method in class org.apache.flink.graph.Triplet

getTriangleCount() - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

Get the number of triangles containing this vertex; equivalently, this is the number of edges between neighbors of this vertex.

getTriangleCount() - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result

Get the number of triangles containing this vertex; equivalently, this is the number of edges between neighbors of this vertex.

getTriplets() - Method in class org.apache.flink.graph.Graph

This method allows access to the graph's edge values along with its source and target vertex values.

getUndirected() - Method in class org.apache.flink.graph.Graph

This operation adds all inverse-direction edges to the graph.

getValue() - Method in class org.apache.flink.graph.Edge

getValue() - Method in class org.apache.flink.graph.Vertex

getVertexGroupCount() - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

getVertexGroupCount() - Method in class org.apache.flink.graph.library.Summarization.VertexValue

getVertexGroupValue() - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

getVertexGroupValue() - Method in class org.apache.flink.graph.library.Summarization.VertexValue

getVertexId() - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

getVertexIds() - Method in class org.apache.flink.graph.Graph

getVertices() - Method in class org.apache.flink.graph.Graph

getVerticesAsTuple2() - Method in class org.apache.flink.graph.Graph

GlobalClusteringCoefficient<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.directed

The global clustering coefficient measures the connectedness of a graph.

GlobalClusteringCoefficient() - Constructor for class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient

GlobalClusteringCoefficient<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.undirected

The global clustering coefficient measures the connectedness of a graph.

GlobalClusteringCoefficient() - Constructor for class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient

GlobalClusteringCoefficient.Result - Class in org.apache.flink.graph.library.clustering.directed

Wraps global clustering coefficient metrics.

GlobalClusteringCoefficient.Result - Class in org.apache.flink.graph.library.clustering.undirected

Wraps global clustering coefficient metrics.

Graph<K,VV,EV> - Class in org.apache.flink.graph

Represents a Graph consisting of edges and vertices.

GraphAlgorithm<K,VV,EV,T> - Interface in org.apache.flink.graph

GraphAlgorithmDelegatingDataSet<K,VV,EV,T> - Class in org.apache.flink.graph.utils.proxy

A GraphAlgorithm transforms an input Graph into an output of type T.

GraphAlgorithmDelegatingDataSet() - Constructor for class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

GraphAlgorithmDelegatingGraph<IN_K,IN_VV,IN_EV,OUT_K,OUT_VV,OUT_EV> - Class in org.apache.flink.graph.utils.proxy

A GraphAlgorithm transforms an input Graph into an output of type T.

GraphAlgorithmDelegatingGraph() - Constructor for class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

GraphAnalytic<K,VV,EV,T> - Interface in org.apache.flink.graph

A GraphAnalytic is similar to a GraphAlgorithm but is terminal and results are retrieved via accumulators.

GraphCsvReader - Class in org.apache.flink.graph

A class to build a Graph using path(s) provided to CSV file(s) with optional vertex and edge data.

GraphCsvReader(Path, Path, ExecutionEnvironment) - Constructor for class org.apache.flink.graph.GraphCsvReader

GraphCsvReader(Path, ExecutionEnvironment) - Constructor for class org.apache.flink.graph.GraphCsvReader

GraphCsvReader(Path, MapFunction<K, VV>, ExecutionEnvironment) - Constructor for class org.apache.flink.graph.GraphCsvReader

GraphCsvReader(String, ExecutionEnvironment) - Constructor for class org.apache.flink.graph.GraphCsvReader

GraphCsvReader(String, String, ExecutionEnvironment) - Constructor for class org.apache.flink.graph.GraphCsvReader

GraphCsvReader(String, MapFunction<K, VV>, ExecutionEnvironment) - Constructor for class org.apache.flink.graph.GraphCsvReader

GraphGenerator<K,VV,EV> - Interface in org.apache.flink.graph.generator

Graph generators shall be - parallelizable, in order to create large datasets - scale-free, generating the same graph regardless of parallelism - thrifty, using as few operators as possible Graph generators should prefer to emit edges sorted by the source label.

GraphGeneratorUtils - Class in org.apache.flink.graph.generator

GraphGeneratorUtils() - Constructor for class org.apache.flink.graph.generator.GraphGeneratorUtils

GraphUtils - Class in org.apache.flink.graph.utils

GraphUtils() - Constructor for class org.apache.flink.graph.utils.GraphUtils

GraphUtils.AddLongValue - Class in org.apache.flink.graph.utils

Add LongValue elements.

GraphUtils.MapTo<I,O> - Class in org.apache.flink.graph.utils

Map each element to a value.

GraphValidator<K,VV,EV> - Class in org.apache.flink.graph.validation

A utility for defining validation criteria for different types of Graphs.

GraphValidator() - Constructor for class org.apache.flink.graph.validation.GraphValidator

GridGraph - Class in org.apache.flink.graph.generator

GridGraph(ExecutionEnvironment) - Constructor for class org.apache.flink.graph.generator.GridGraph

An undirected Graph connecting vertices in a regular tiling in one or more dimensions.

GridGraph.LinkVertexToNeighbors - Class in org.apache.flink.graph.generator

groupReduceOnEdges(EdgesFunctionWithVertexValue<K, VV, EV, T>, EdgeDirection) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the edge values of each vertex.

groupReduceOnEdges(EdgesFunctionWithVertexValue<K, VV, EV, T>, EdgeDirection, TypeInformation<T>) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the edge values of each vertex.

groupReduceOnEdges(EdgesFunction<K, EV, T>, EdgeDirection) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the edge values of each vertex.

groupReduceOnEdges(EdgesFunction<K, EV, T>, EdgeDirection, TypeInformation<T>) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the edge values of each vertex.

groupReduceOnNeighbors(NeighborsFunctionWithVertexValue<K, VV, EV, T>, EdgeDirection) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the neighbors (both edges and vertices) of each vertex.

groupReduceOnNeighbors(NeighborsFunctionWithVertexValue<K, VV, EV, T>, EdgeDirection, TypeInformation<T>) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the neighbors (both edges and vertices) of each vertex.

groupReduceOnNeighbors(NeighborsFunction<K, VV, EV, T>, EdgeDirection) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the neighbors (both edges and vertices) of each vertex.

groupReduceOnNeighbors(NeighborsFunction<K, VV, EV, T>, EdgeDirection, TypeInformation<T>) - Method in class org.apache.flink.graph.Graph

Groups by vertex and computes a GroupReduce transformation over the neighbors (both edges and vertices) of each vertex.

GSAConfiguration - Class in org.apache.flink.graph.gsa

A GSAConfiguration object can be used to set the iteration name and degree of parallelism, to register aggregators and use broadcast sets in the GatherFunction, SumFunction as well as ApplyFunction.

GSAConfiguration() - Constructor for class org.apache.flink.graph.gsa.GSAConfiguration

GSAConnectedComponents<K,VV extends Comparable<VV>,EV> - Class in org.apache.flink.graph.library

A gather-sum-apply implementation of the Weakly Connected Components algorithm.

GSAConnectedComponents(Integer) - Constructor for class org.apache.flink.graph.library.GSAConnectedComponents

Creates an instance of the GSA Connected Components algorithm.

GSAPageRank<K> - Class in org.apache.flink.graph.library

This is an implementation of a simple PageRank algorithm, using a gather-sum-apply iteration.

GSAPageRank(double, int) - Constructor for class org.apache.flink.graph.library.GSAPageRank

Creates an instance of the GSA PageRank algorithm.

GSASingleSourceShortestPaths<K> - Class in org.apache.flink.graph.library

This is an implementation of the Single Source Shortest Paths algorithm, using a gather-sum-apply iteration

GSASingleSourceShortestPaths(K, Integer) - Constructor for class org.apache.flink.graph.library.GSASingleSourceShortestPaths

Creates an instance of the GSA SingleSourceShortestPaths algorithm.

GSASingleSourceShortestPaths.InitVerticesMapper<K> - Class in org.apache.flink.graph.library

H

hash(double) - Method in class org.apache.flink.graph.utils.Murmur3_32

Process a double value.

hash(float) - Method in class org.apache.flink.graph.utils.Murmur3_32

Process a float value.

hash(int) - Method in class org.apache.flink.graph.utils.Murmur3_32

Process an integer value.

hash(long) - Method in class org.apache.flink.graph.utils.Murmur3_32

Process a long value.

hash() - Method in class org.apache.flink.graph.utils.Murmur3_32

Finalize and return the MurmurHash output.

HASH_SEED - Static variable in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

HASH_SEED - Static variable in class org.apache.flink.graph.library.link_analysis.HITS.Result

HASH_SEED - Static variable in class org.apache.flink.graph.library.similarity.AdamicAdar.Result

HASH_SEED - Static variable in class org.apache.flink.graph.library.similarity.JaccardIndex.Result

hashCode() - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees.Degrees

hashCode() - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

hashCode() - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

hashCode() - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

hashCode() - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result

hashCode() - Method in class org.apache.flink.graph.library.link_analysis.HITS.Result

hashCode() - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

hashCode() - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

hashCode() - Method in class org.apache.flink.graph.library.similarity.AdamicAdar.Result

hashCode() - Method in class org.apache.flink.graph.library.similarity.JaccardIndex.Result

hashCode() - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

hashCode() - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

hasNext() - Method in class org.apache.flink.graph.pregel.MessageIterator

hasNext() - Method in class org.apache.flink.graph.spargel.MessageIterator

HITS<K,VV,EV> - Class in org.apache.flink.graph.library.link_analysis

http://www.cs.cornell.edu/home/kleinber/auth.pdf Hyperlink-Induced Topic Search computes two interdependent scores for every vertex in a directed graph.

HITS(int) - Constructor for class org.apache.flink.graph.library.link_analysis.HITS

Hyperlink-Induced Topic Search with a fixed number of iterations.

HITS(double) - Constructor for class org.apache.flink.graph.library.link_analysis.HITS

Hyperlink-Induced Topic Search with a convergence threshold.

HITS(int, double) - Constructor for class org.apache.flink.graph.library.link_analysis.HITS

Hyperlink-Induced Topic Search with a convergence threshold and a maximum iteration count.

HITS.Result<T> - Class in org.apache.flink.graph.library.link_analysis

Wraps the vertex type to encapsulate results from the HITS algorithm.

HypercubeGraph - Class in org.apache.flink.graph.generator

HypercubeGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.HypercubeGraph

An undirected Graph where edges form an n-dimensional hypercube.

I

ignoreCommentsEdges(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures the string that starts comments for the Edge Csv Reader.

ignoreCommentsVertices(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures the string that starts comments for the Vertex Csv Reader.

ignoreFirstLineEdges() - Method in class org.apache.flink.graph.GraphCsvReader

Sets the CSV reader for the Edges file to ignore the first line.

ignoreFirstLineVertices() - Method in class org.apache.flink.graph.GraphCsvReader

Sets the CSV reader for the Vertices file to ignore the first line.

ignoreInvalidLinesEdges() - Method in class org.apache.flink.graph.GraphCsvReader

Sets the CSV reader for the Edges file to ignore any invalid lines.

ignoreInvalidLinesVertices() - Method in class org.apache.flink.graph.GraphCsvReader

Sets the CSV reader Vertices file to ignore any invalid lines.

includeFieldsEdges(boolean...) - Method in class org.apache.flink.graph.GraphCsvReader

Configures which fields of the CSV file containing edges data should be included and which should be skipped.

includeFieldsEdges(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures which fields of the CSV file containing edges data should be included and which should be skipped.

includeFieldsEdges(long) - Method in class org.apache.flink.graph.GraphCsvReader

Configures which fields of the CSV file containing edges data should be included and which should be skipped.

includeFieldsVertices(boolean...) - Method in class org.apache.flink.graph.GraphCsvReader

Configures which fields of the CSV file containing vertices data should be included and which should be skipped.

includeFieldsVertices(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures which fields of the CSV file containing vertices data should be included and which should be skipped.

includeFieldsVertices(long) - Method in class org.apache.flink.graph.GraphCsvReader

Configures which fields of the CSV file containing vertices data should be included and which should be skipped.

inDegrees() - Method in class org.apache.flink.graph.Graph

Return the in-degree of all vertices in the graph

init(IterationRuntimeContext) - Method in class org.apache.flink.graph.gsa.ApplyFunction

init(IterationRuntimeContext) - Method in class org.apache.flink.graph.gsa.GatherFunction

init(IterationRuntimeContext) - Method in class org.apache.flink.graph.gsa.SumFunction

InitVerticesMapper(K) - Constructor for class org.apache.flink.graph.library.GSASingleSourceShortestPaths.InitVerticesMapper

InitVerticesMapper(K) - Constructor for class org.apache.flink.graph.library.SingleSourceShortestPaths.InitVerticesMapper

intersect(Graph<K, VV, EV>, boolean) - Method in class org.apache.flink.graph.Graph

Performs intersect on the edge sets of the input graphs.

InvalidVertexIdsValidator<K,VV,EV> - Class in org.apache.flink.graph.validation

InvalidVertexIdsValidator() - Constructor for class org.apache.flink.graph.validation.InvalidVertexIdsValidator

isOptDegrees() - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Gets whether the degrees option is set.

isOptNumVertices() - Method in class org.apache.flink.graph.IterationConfiguration

Gets whether the number of vertices option is set.

isSolutionSetUnmanagedMemory() - Method in class org.apache.flink.graph.IterationConfiguration

Gets whether the solution set is kept in managed memory (Flink's internal way of keeping object in serialized form) or as a simple object map.

iterateEdges(Iterable<Tuple2<K, Edge<K, EV>>>, Collector<O>) - Method in interface org.apache.flink.graph.EdgesFunction

This method is called per vertex and can iterate over all of its neighboring edges with the specified direction.

iterateEdges(Vertex<K, VV>, Iterable<Edge<K, EV>>, Collector<O>) - Method in interface org.apache.flink.graph.EdgesFunctionWithVertexValue

This method is called per vertex and can iterate over all of its neighboring edges with the specified direction.

iterateNeighbors(Iterable<Tuple3<K, Edge<K, EV>, Vertex<K, VV>>>, Collector<O>) - Method in interface org.apache.flink.graph.NeighborsFunction

This method is called per vertex and can iterate over all of its neighbors with the specified direction.

iterateNeighbors(Vertex<K, VV>, Iterable<Tuple2<Edge<K, EV>, Vertex<K, VV>>>, Collector<O>) - Method in interface org.apache.flink.graph.NeighborsFunctionWithVertexValue

This method is called per vertex and can iterate over all of its neighbors with the specified direction.

IterationConfiguration - Class in org.apache.flink.graph

This is used as a base class for vertex-centric iteration or gather-sum-apply iteration configuration.

IterationConfiguration() - Constructor for class org.apache.flink.graph.IterationConfiguration

iterator() - Method in class org.apache.flink.graph.pregel.MessageIterator

iterator() - Method in class org.apache.flink.graph.spargel.MessageIterator

J

JaccardIndex<K extends org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.similarity

The Jaccard Index measures the similarity between vertex neighborhoods and is computed as the number of shared neighbors divided by the number of distinct neighbors.

JaccardIndex() - Constructor for class org.apache.flink.graph.library.similarity.JaccardIndex

JaccardIndex.Result<T> - Class in org.apache.flink.graph.library.similarity

Wraps the vertex type to encapsulate results from the jaccard index algorithm.

JDKRandomGeneratorFactory - Class in org.apache.flink.graph.generator.random

Uses a seeded JDKRandomGenerator to generate seeds for the distributed collection of JDKRandomGenerator.

JDKRandomGeneratorFactory() - Constructor for class org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory

JDKRandomGeneratorFactory(long) - Constructor for class org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory

join(Edge<K, Tuple2<EV, D>>, Vertex<K, D>) - Method in class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree

join(Edge<K, EV>, Vertex<K, D>) - Method in class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeWithVertexDegree

join(Vertex<K, VV>, Vertex<K, LongValue>) - Method in class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinVertexWithVertexDegree

JoinEdgeDegreeWithVertexDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeDegreeWithVertexDegree

JoinEdgeWithVertexDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinEdgeWithVertexDegree

JoinVertexWithVertexDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.JoinVertexWithVertexDegree

joinWithEdges(DataSet<Tuple3<K, K, T>>, EdgeJoinFunction<EV, T>) - Method in class org.apache.flink.graph.Graph

Joins the edge DataSet with an input DataSet on the composite key of both source and target IDs and applies a user-defined transformation on the values of the matched records.

joinWithEdgesOnSource(DataSet<Tuple2<K, T>>, EdgeJoinFunction<EV, T>) - Method in class org.apache.flink.graph.Graph

Joins the edge DataSet with an input Tuple2 DataSet and applies a user-defined transformation on the values of the matched records.

joinWithEdgesOnTarget(DataSet<Tuple2<K, T>>, EdgeJoinFunction<EV, T>) - Method in class org.apache.flink.graph.Graph

Joins the edge DataSet with an input Tuple2 DataSet and applies a user-defined transformation on the values of the matched records.

joinWithVertices(DataSet<Tuple2<K, T>>, VertexJoinFunction<VV, T>) - Method in class org.apache.flink.graph.Graph

Joins the vertex DataSet of this graph with an input Tuple2 DataSet and applies a user-defined transformation on the values of the matched records.

K

keyType(Class<K>) - Method in class org.apache.flink.graph.GraphCsvReader

Creates a Graph from CSV input without vertex values or edge values.

L

LabelMessenger() - Constructor for class org.apache.flink.graph.library.CommunityDetection.LabelMessenger

LabelPropagation<K,VV extends Comparable<VV>,EV> - Class in org.apache.flink.graph.library

An implementation of the label propagation algorithm.

LabelPropagation(int) - Constructor for class org.apache.flink.graph.library.LabelPropagation

Creates a new Label Propagation algorithm instance.

LabelPropagation.SendNewLabelToNeighbors<K,VV extends Comparable<VV>> - Class in org.apache.flink.graph.library

Sends the vertex label to all out-neighbors

LabelPropagation.UpdateVertexLabel<K,VV extends Comparable<VV>> - Class in org.apache.flink.graph.library

Function that updates the value of a vertex by adopting the most frequent label among its in-neighbors

lineDelimiterEdges(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures the Delimiter that separates rows for the CSV reader used to read the edges ('\n') is used by default.

lineDelimiterVertices(String) - Method in class org.apache.flink.graph.GraphCsvReader

Configures the Delimiter that separates rows for the CSV reader used to read the vertices ('\n') is used by default.

LinkVertexToAll(long) - Constructor for class org.apache.flink.graph.generator.CompleteGraph.LinkVertexToAll

LinkVertexToCenter() - Constructor for class org.apache.flink.graph.generator.StarGraph.LinkVertexToCenter

LinkVertexToNeighbors(long, List<Tuple2<Long, Boolean>>) - Constructor for class org.apache.flink.graph.generator.GridGraph.LinkVertexToNeighbors

LocalClusteringCoefficient<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.directed

The local clustering coefficient measures the connectedness of each vertex's neighborhood.

LocalClusteringCoefficient() - Constructor for class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient

LocalClusteringCoefficient<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.undirected

The local clustering coefficient measures the connectedness of each vertex's neighborhood.

LocalClusteringCoefficient() - Constructor for class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient

LocalClusteringCoefficient.Result<T> - Class in org.apache.flink.graph.library.clustering.directed

Wraps the vertex type to encapsulate results from the Local Clustering Coefficient algorithm.

LocalClusteringCoefficient.Result<T> - Class in org.apache.flink.graph.library.clustering.undirected

Wraps the vertex type to encapsulate results from the Local Clustering Coefficient algorithm.

LongValueAddOffset - Class in org.apache.flink.graph.asm.translate

Translate LongValue by adding a constant offset value.

LongValueAddOffset(long) - Constructor for class org.apache.flink.graph.asm.translate.LongValueAddOffset

Translate LongValue by adding a constant offset value.

LongValueToIntValue - Class in org.apache.flink.graph.asm.translate

Translate LongValue to IntValue.

LongValueToIntValue() - Constructor for class org.apache.flink.graph.asm.translate.LongValueToIntValue

LongValueToStringValue - Class in org.apache.flink.graph.asm.translate

Translate LongValue to StringValue.

LongValueToStringValue() - Constructor for class org.apache.flink.graph.asm.translate.LongValueToStringValue

M

map(Edge<K, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.MapEdgeToSourceId

map(Edge<K, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.MapEdgeToTargetId

map(Vertex<K, Long>) - Method in class org.apache.flink.graph.library.CommunityDetection.AddScoreToVertexValuesMapper

map(Vertex<K, Tuple2<Long, Double>>) - Method in class org.apache.flink.graph.library.CommunityDetection.RemoveScoreFromVertexValuesMapper

map(Vertex<K, Double>) - Method in class org.apache.flink.graph.library.GSASingleSourceShortestPaths.InitVerticesMapper

map(Vertex<K, Double>) - Method in class org.apache.flink.graph.library.SingleSourceShortestPaths.InitVerticesMapper

map(Edge<K, EV>) - Method in class org.apache.flink.graph.utils.EdgeToTuple3Map

map(I) - Method in class org.apache.flink.graph.utils.GraphUtils.MapTo

map(Edge<K, EV>) - Method in class org.apache.flink.graph.utils.NullValueEdgeMapper

map(Tuple2<K, VV>) - Method in class org.apache.flink.graph.utils.Tuple2ToVertexMap

map(Tuple3<K, K, EV>) - Method in class org.apache.flink.graph.utils.Tuple3ToEdgeMap

map(Vertex<K, VV>) - Method in class org.apache.flink.graph.utils.VertexToTuple2Map

mapEdges(MapFunction<Edge<K, EV>, NV>) - Method in class org.apache.flink.graph.Graph

Apply a function to the attribute of each edge in the graph.

mapEdges(MapFunction<Edge<K, EV>, NV>, TypeInformation<Edge<K, NV>>) - Method in class org.apache.flink.graph.Graph

Apply a function to the attribute of each edge in the graph.

MapEdgeToSourceId() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.MapEdgeToSourceId

MapEdgeToTargetId() - Constructor for class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.MapEdgeToTargetId

mapper - Variable in class org.apache.flink.graph.GraphCsvReader

MapTo(O) - Constructor for class org.apache.flink.graph.utils.GraphUtils.MapTo

Map each element to the given object.

mapVertices(MapFunction<Vertex<K, VV>, NV>) - Method in class org.apache.flink.graph.Graph

Apply a function to the attribute of each vertex in the graph.

mapVertices(MapFunction<Vertex<K, VV>, NV>, TypeInformation<Vertex<K, NV>>) - Method in class org.apache.flink.graph.Graph

Apply a function to the attribute of each vertex in the graph.

MAXIMUM_BLOCK_COUNT - Static variable in class org.apache.flink.graph.generator.random.AbstractGeneratorFactory

MaximumDegree<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.filter.undirected

Removes vertices from a graph with degree greater than the given maximum.

MaximumDegree(long) - Constructor for class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

Filter out vertices with degree greater than the given maximum.

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeDegreesPair

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeSourceDegrees

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeTargetDegrees

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexInDegree

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexOutDegree

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeDegreePair

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeSourceDegree

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeTargetDegree

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.asm.simple.directed.Simplify

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.asm.simple.undirected.Simplify

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.asm.translate.TranslateEdgeValues

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.asm.translate.TranslateGraphIds

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.asm.translate.TranslateVertexValues

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.clustering.directed.TriangleListing

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleListing

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.link_analysis.HITS

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.similarity.AdamicAdar

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

mergeConfiguration(GraphAlgorithmDelegatingDataSet) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

An algorithm must first test whether the configurations can be merged before merging individual fields.

mergeConfiguration(GraphAlgorithmDelegatingGraph) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

An algorithm must first test whether the configurations can be merged before merging individual fields.

mergeWith(OptionalBoolean) - Method in class org.apache.flink.graph.utils.proxy.OptionalBoolean

State transitions: if the states are the same then no change if either state is unset then change to the other state if the states are conflicting then set to the conflicting state

MersenneTwisterFactory - Class in org.apache.flink.graph.generator.random

Uses a seeded MersenneTwister to generate seeds for the distributed collection of MersenneTwister.

MersenneTwisterFactory() - Constructor for class org.apache.flink.graph.generator.random.MersenneTwisterFactory

MersenneTwisterFactory(long) - Constructor for class org.apache.flink.graph.generator.random.MersenneTwisterFactory

MessageCombiner<K,Message> - Class in org.apache.flink.graph.pregel

The base class for combining messages sent during a VertexCentricteration.

MessageCombiner() - Constructor for class org.apache.flink.graph.pregel.MessageCombiner

MessageIterator<Message> - Class in org.apache.flink.graph.pregel

An iterator that returns messages.

MessageIterator() - Constructor for class org.apache.flink.graph.pregel.MessageIterator

MessageIterator<Message> - Class in org.apache.flink.graph.spargel

An iterator that returns messages.

MessageIterator() - Constructor for class org.apache.flink.graph.spargel.MessageIterator

MinDistanceMessenger() - Constructor for class org.apache.flink.graph.library.SingleSourceShortestPaths.MinDistanceMessenger

MINIMUM_CYCLES_PER_BLOCK - Static variable in class org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory

MINIMUM_CYCLES_PER_BLOCK - Static variable in class org.apache.flink.graph.generator.random.MersenneTwisterFactory

Murmur3_32 - Class in org.apache.flink.graph.utils

A resettable implementation of the 32-bit MurmurHash algorithm.

Murmur3_32(int) - Constructor for class org.apache.flink.graph.utils.Murmur3_32

A resettable implementation of the 32-bit MurmurHash algorithm.

N

Neighbor<VV,EV> - Class in org.apache.flink.graph.gsa

This class represents a <sourceVertex, edge> pair This is a wrapper around Tuple2<VV, EV> for convenience in the GatherFunction

Neighbor() - Constructor for class org.apache.flink.graph.gsa.Neighbor

Neighbor(VV, EV) - Constructor for class org.apache.flink.graph.gsa.Neighbor

NeighborsFunction<K,VV,EV,O> - Interface in org.apache.flink.graph

Interface to be implemented by the function applied to a vertex neighborhood in the Graph.groupReduceOnNeighbors(NeighborsFunction, EdgeDirection) method.

NeighborsFunctionWithVertexValue<K,VV,EV,O> - Interface in org.apache.flink.graph

Interface to be implemented by the function applied to a vertex neighborhood in the Graph.groupReduceOnNeighbors(NeighborsFunctionWithVertexValue, EdgeDirection) method.

next() - Method in class org.apache.flink.graph.generator.random.AbstractGeneratorFactory

next() - Method in class org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory

next() - Method in class org.apache.flink.graph.generator.random.MersenneTwisterFactory

next() - Method in class org.apache.flink.graph.pregel.MessageIterator

next() - Method in class org.apache.flink.graph.spargel.MessageIterator

NullValueEdgeMapper<K,EV> - Class in org.apache.flink.graph.utils

NullValueEdgeMapper() - Constructor for class org.apache.flink.graph.utils.NullValueEdgeMapper

numberOfEdges() - Method in class org.apache.flink.graph.Graph

numberOfVertices() - Method in class org.apache.flink.graph.Graph

O

OptionalBoolean - Class in org.apache.flink.graph.utils.proxy

A multi-state boolean.

OptionalBoolean(boolean, boolean) - Constructor for class org.apache.flink.graph.utils.proxy.OptionalBoolean

An OptionalBoolean has three possible states: true, false, and "unset".

OptionalBoolean.State - Enum in org.apache.flink.graph.utils.proxy

org.apache.flink.graph - package org.apache.flink.graph

org.apache.flink.graph.asm.degree.annotate - package org.apache.flink.graph.asm.degree.annotate

The degree annotation package provides a collection of edge-centric graph algorithms for counting the vertex degree of directed and undirected graphs.

org.apache.flink.graph.asm.degree.annotate.directed - package org.apache.flink.graph.asm.degree.annotate.directed

org.apache.flink.graph.asm.degree.annotate.undirected - package org.apache.flink.graph.asm.degree.annotate.undirected

org.apache.flink.graph.asm.degree.filter.undirected - package org.apache.flink.graph.asm.degree.filter.undirected

org.apache.flink.graph.asm.simple.directed - package org.apache.flink.graph.asm.simple.directed

org.apache.flink.graph.asm.simple.undirected - package org.apache.flink.graph.asm.simple.undirected

org.apache.flink.graph.asm.translate - package org.apache.flink.graph.asm.translate

org.apache.flink.graph.generator - package org.apache.flink.graph.generator

org.apache.flink.graph.generator.random - package org.apache.flink.graph.generator.random

org.apache.flink.graph.gsa - package org.apache.flink.graph.gsa

org.apache.flink.graph.library - package org.apache.flink.graph.library

org.apache.flink.graph.library.clustering.directed - package org.apache.flink.graph.library.clustering.directed

org.apache.flink.graph.library.clustering.undirected - package org.apache.flink.graph.library.clustering.undirected

org.apache.flink.graph.library.link_analysis - package org.apache.flink.graph.library.link_analysis

org.apache.flink.graph.library.metric - package org.apache.flink.graph.library.metric

org.apache.flink.graph.library.metric.directed - package org.apache.flink.graph.library.metric.directed

org.apache.flink.graph.library.metric.undirected - package org.apache.flink.graph.library.metric.undirected

org.apache.flink.graph.library.similarity - package org.apache.flink.graph.library.similarity

org.apache.flink.graph.pregel - package org.apache.flink.graph.pregel

org.apache.flink.graph.spargel - package org.apache.flink.graph.spargel

org.apache.flink.graph.utils - package org.apache.flink.graph.utils

org.apache.flink.graph.utils.proxy - package org.apache.flink.graph.utils.proxy

org.apache.flink.graph.validation - package org.apache.flink.graph.validation

outDegrees() - Method in class org.apache.flink.graph.Graph

Return the out-degree of all vertices in the graph

P

PageRank<K> - Class in org.apache.flink.graph.library

This is an implementation of a simple PageRank algorithm, using a scatter-gather iteration.

PageRank(double, int) - Constructor for class org.apache.flink.graph.library.PageRank

Creates an instance of the PageRank algorithm.

PageRank.RankMessenger<K> - Class in org.apache.flink.graph.library

Distributes the rank of a vertex among all target vertices according to the transition probability, which is associated with an edge as the edge value.

PageRank.VertexRankUpdater<K> - Class in org.apache.flink.graph.library

Function that updates the rank of a vertex by summing up the partial ranks from all incoming messages and then applying the dampening formula.

parallelism - Variable in class org.apache.flink.graph.generator.AbstractGraphGenerator

parseQuotedStringsEdges(char) - Method in class org.apache.flink.graph.GraphCsvReader

Enables quoted String parsing for Edge Csv Reader.

parseQuotedStringsVertices(char) - Method in class org.apache.flink.graph.GraphCsvReader

Enables quoted String parsing for Vertex Csv Reader.

PathGraph - Class in org.apache.flink.graph.generator

PathGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.PathGraph

An undirected Graph where all edges form a single path.

postSuperstep() - Method in class org.apache.flink.graph.gsa.ApplyFunction

This method is executed once per superstep after the vertex update function has been invoked for each vertex.

postSuperstep() - Method in class org.apache.flink.graph.gsa.GatherFunction

This method is executed once per superstep after the vertex update function has been invoked for each vertex.

postSuperstep() - Method in class org.apache.flink.graph.gsa.SumFunction

This method is executed once per superstep after the vertex update function has been invoked for each vertex.

postSuperstep() - Method in class org.apache.flink.graph.pregel.ComputeFunction

This method is executed once per superstep after the vertex update function has been invoked for each vertex.

postSuperstep() - Method in class org.apache.flink.graph.spargel.GatherFunction

This method is executed once per superstep after the gather function has been invoked for each vertex.

postSuperstep() - Method in class org.apache.flink.graph.spargel.ScatterFunction

This method is executed once per superstep after the scatter function has been invoked for each vertex.

preSuperstep() - Method in class org.apache.flink.graph.gsa.ApplyFunction

This method is executed once per superstep before the vertex update function is invoked for each vertex.

preSuperstep() - Method in class org.apache.flink.graph.gsa.GatherFunction

This method is executed once per superstep before the vertex update function is invoked for each vertex.

preSuperstep() - Method in class org.apache.flink.graph.gsa.SumFunction

This method is executed once per superstep before the vertex update function is invoked for each vertex.

preSuperstep() - Method in class org.apache.flink.graph.pregel.ComputeFunction

This method is executed once per superstep before the vertex update function is invoked for each vertex.

preSuperstep() - Method in class org.apache.flink.graph.spargel.GatherFunction

This method is executed once per superstep before the gather function is invoked for each vertex.

preSuperstep() - Method in class org.apache.flink.graph.spargel.ScatterFunction

This method is executed once per superstep before the scatter function is invoked for each vertex.

R

RandomGenerable<T extends org.apache.commons.math3.random.RandomGenerator> - Interface in org.apache.flink.graph.generator.random

A RandomGenerable provides deferred instantiation and initialization of a RandomGenerator.

RandomGenerableFactory<T extends org.apache.commons.math3.random.RandomGenerator> - Interface in org.apache.flink.graph.generator.random

A RandomGenerableFactory returns a scale-free collection of sources of pseudorandomness which can be used to perform repeatable parallel computation regardless of parallelism.

RankMessenger() - Constructor for class org.apache.flink.graph.library.PageRank.RankMessenger

reduce(Vertex<K, LongValue>, Vertex<K, LongValue>) - Method in class org.apache.flink.graph.asm.degree.annotate.DegreeAnnotationFunctions.DegreeCount

reduce(Iterable<Tuple2<K, Either<NullValue, Message>>>, Collector<Tuple2<K, Either<NullValue, Message>>>) - Method in class org.apache.flink.graph.pregel.VertexCentricIteration.MessageCombinerUdf

reduce(LongValue, LongValue) - Method in class org.apache.flink.graph.utils.GraphUtils.AddLongValue

reduceEdges(EV, EV) - Method in interface org.apache.flink.graph.ReduceEdgesFunction

It combines two neighboring edge values into one new value of the same type.

ReduceEdgesFunction<EV> - Interface in org.apache.flink.graph

Interface to be implemented by the function applied to a vertex neighborhood in the Graph.reduceOnEdges(org.apache.flink.graph.ReduceEdgesFunction, EdgeDirection) method.

reduceNeighbors(VV, VV) - Method in interface org.apache.flink.graph.ReduceNeighborsFunction

It combines two neighboring vertex values into one new value of the same type.

ReduceNeighborsFunction<VV> - Interface in org.apache.flink.graph

Interface to be implemented by the function applied to a vertex neighborhood in the Graph.reduceOnNeighbors(ReduceNeighborsFunction, EdgeDirection) method.

reduceOnEdges(ReduceEdgesFunction<EV>, EdgeDirection) - Method in class org.apache.flink.graph.Graph

Compute a reduce transformation over the edge values of each vertex.

reduceOnNeighbors(ReduceNeighborsFunction<VV>, EdgeDirection) - Method in class org.apache.flink.graph.Graph

Compute a reduce transformation over the neighbors' vertex values of each vertex.

registerAggregator(String, Aggregator<?>) - Method in class org.apache.flink.graph.IterationConfiguration

Registers a new aggregator.

remove() - Method in class org.apache.flink.graph.pregel.MessageIterator

remove() - Method in class org.apache.flink.graph.spargel.MessageIterator

removeEdge(Edge<K, EV>) - Method in class org.apache.flink.graph.Graph

Removes all edges that match the given edge from the graph.

removeEdges(List<Edge<K, EV>>) - Method in class org.apache.flink.graph.Graph

Removes all the edges that match the edges in the given data set from the graph.

RemoveScoreFromVertexValuesMapper() - Constructor for class org.apache.flink.graph.library.CommunityDetection.RemoveScoreFromVertexValuesMapper

removeVertex(Vertex<K, VV>) - Method in class org.apache.flink.graph.Graph

Removes the given vertex and its edges from the graph.

removeVertices(List<Vertex<K, VV>>) - Method in class org.apache.flink.graph.Graph

Removes the given list of vertices and its edges from the graph.

reset() - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

Resets the fields to initial values.

reset() - Method in class org.apache.flink.graph.utils.Murmur3_32

Re-initialize the MurmurHash state.

Result(long, long) - Constructor for class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

Instantiate an immutable result.

Result() - Constructor for class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

No-args constructor.

Result() - Constructor for class org.apache.flink.graph.library.clustering.directed.TriangleListing.Result

No-args constructor.

Result(T, T, T, ByteValue) - Constructor for class org.apache.flink.graph.library.clustering.directed.TriangleListing.Result

Populates parent tuple with constructor parameters.

Result(long, long) - Constructor for class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

Instantiate an immutable result.

Result() - Constructor for class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result

Result() - Constructor for class org.apache.flink.graph.library.link_analysis.HITS.Result

Result(long, long, long) - Constructor for class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

Result(long, long, long) - Constructor for class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

Result() - Constructor for class org.apache.flink.graph.library.similarity.AdamicAdar.Result

No-args constructor.

Result() - Constructor for class org.apache.flink.graph.library.similarity.JaccardIndex.Result

reverse() - Method in class org.apache.flink.graph.Edge

Reverses the direction of this Edge.

reverse() - Method in class org.apache.flink.graph.Graph

Reverse the direction of the edges in the graph

RichTranslateFunction<IN,OUT> - Class in org.apache.flink.graph.asm.translate

Rich variant of the TranslateFunction.

RichTranslateFunction() - Constructor for class org.apache.flink.graph.asm.translate.RichTranslateFunction

RMatGraph<T extends org.apache.commons.math3.random.RandomGenerator> - Class in org.apache.flink.graph.generator

RMatGraph(ExecutionEnvironment, RandomGenerableFactory<T>, long, long) - Constructor for class org.apache.flink.graph.generator.RMatGraph

Generate a directed or undirected power-law Graph using the Recursive Matrix (R-Mat) model.

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.AbstractGraphAnalytic

run(GraphAlgorithm<K, VV, EV, T>) - Method in class org.apache.flink.graph.Graph

run(GraphAnalytic<K, VV, EV, T>) - Method in class org.apache.flink.graph.Graph

A GraphAnalytic is similar to a GraphAlgorithm but is terminal and results are retrieved via accumulators.

run(Graph<K, VV, EV>) - Method in interface org.apache.flink.graph.GraphAlgorithm

run(Graph<K, VV, EV>) - Method in interface org.apache.flink.graph.GraphAnalytic

All GraphAnalytic processing must be terminated by an OutputFormat.

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.directed.TriangleCount

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleCount

run(Graph<K, Long, Double>) - Method in class org.apache.flink.graph.library.CommunityDetection

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.ConnectedComponents

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.GSAConnectedComponents

run(Graph<K, Double, Double>) - Method in class org.apache.flink.graph.library.GSAPageRank

run(Graph<K, Double, Double>) - Method in class org.apache.flink.graph.library.GSASingleSourceShortestPaths

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.LabelPropagation

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.metric.ChecksumHashCode

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics

run(Graph<K, Double, Double>) - Method in class org.apache.flink.graph.library.PageRank

run(Graph<K, Double, Double>) - Method in class org.apache.flink.graph.library.SingleSourceShortestPaths

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.Summarization

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.TriangleEnumerator

run(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

run(Graph<IN_K, IN_VV, IN_EV>) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

runGatherSumApplyIteration(GatherFunction, SumFunction<VV, EV, M>, ApplyFunction<K, VV, M>, int) - Method in class org.apache.flink.graph.Graph

Runs a Gather-Sum-Apply iteration on the graph.

runGatherSumApplyIteration(GatherFunction, SumFunction<VV, EV, M>, ApplyFunction<K, VV, M>, int, GSAConfiguration) - Method in class org.apache.flink.graph.Graph

Runs a Gather-Sum-Apply iteration on the graph with configuration options.

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeDegreesPair

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeSourceDegrees

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeTargetDegrees

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexInDegree

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexOutDegree

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeDegreePair

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeSourceDegree

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeTargetDegree

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.simple.directed.Simplify

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.asm.simple.undirected.Simplify

runInternal(Graph<K, VV, OLD>) - Method in class org.apache.flink.graph.asm.translate.TranslateEdgeValues

runInternal(Graph<OLD, VV, EV>) - Method in class org.apache.flink.graph.asm.translate.TranslateGraphIds

runInternal(Graph<K, OLD, EV>) - Method in class org.apache.flink.graph.asm.translate.TranslateVertexValues

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.directed.TriangleListing

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleListing

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.link_analysis.HITS

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.similarity.AdamicAdar

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

runInternal(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingDataSet

The implementation of the algorithm, renamed from GraphAlgorithm.run(Graph).

runInternal(Graph<IN_K, IN_VV, IN_EV>) - Method in class org.apache.flink.graph.utils.proxy.GraphAlgorithmDelegatingGraph

The implementation of the algorithm, renamed from GraphAlgorithm.run(Graph).

runScatterGatherIteration(ScatterFunction<K, VV, M, EV>, GatherFunction<K, VV, M>, int) - Method in class org.apache.flink.graph.Graph

Runs a ScatterGather iteration on the graph.

runScatterGatherIteration(ScatterFunction<K, VV, M, EV>, GatherFunction<K, VV, M>, int, ScatterGatherConfiguration) - Method in class org.apache.flink.graph.Graph

Runs a ScatterGather iteration on the graph with configuration options.

runVertexCentricIteration(ComputeFunction<K, VV, EV, M>, MessageCombiner<K, M>, int) - Method in class org.apache.flink.graph.Graph

Runs a VertexCentricIteration on the graph.

runVertexCentricIteration(ComputeFunction<K, VV, EV, M>, MessageCombiner<K, M>, int, VertexCentricConfiguration) - Method in class org.apache.flink.graph.Graph

Runs a VertexCentricIteration on the graph with configuration options.

S

ScatterFunction<K,VV,Message,EV> - Class in org.apache.flink.graph.spargel

The base class for functions that produce messages between vertices as a part of a ScatterGatherIteration.

ScatterFunction() - Constructor for class org.apache.flink.graph.spargel.ScatterFunction

ScatterGatherConfiguration - Class in org.apache.flink.graph.spargel

A ScatterGatherConfiguration object can be used to set the iteration name and degree of parallelism, to register aggregators and use broadcast sets in the GatherFunction and ScatterFunction The VertexCentricConfiguration object is passed as an argument to ( org.apache.flink.graph.spargel.GatherFunction, org.apache.flink.graph.spargel.ScatterFunction, int, ScatterGatherConfiguration).

ScatterGatherConfiguration() - Constructor for class org.apache.flink.graph.spargel.ScatterGatherConfiguration

ScatterGatherIteration<K,VV,Message,EV> - Class in org.apache.flink.graph.spargel

This class represents iterative graph computations, programmed in a scatter-gather perspective.

sendCombinedMessage(Message) - Method in class org.apache.flink.graph.pregel.MessageCombiner

Sends the combined message to the target vertex.

sendMessages(Vertex<K, Tuple2<Long, Double>>) - Method in class org.apache.flink.graph.library.CommunityDetection.LabelMessenger

sendMessages(Vertex<K, VV>) - Method in class org.apache.flink.graph.library.ConnectedComponents.CCMessenger

sendMessages(Vertex<K, VV>) - Method in class org.apache.flink.graph.library.LabelPropagation.SendNewLabelToNeighbors

sendMessages(Vertex<K, Double>) - Method in class org.apache.flink.graph.library.PageRank.RankMessenger

sendMessages(Vertex<K, Double>) - Method in class org.apache.flink.graph.library.SingleSourceShortestPaths.MinDistanceMessenger

sendMessages(Vertex<K, VV>) - Method in class org.apache.flink.graph.spargel.ScatterFunction

This method is invoked once per superstep for each vertex that was changed in that superstep.

sendMessageTo(K, Message) - Method in class org.apache.flink.graph.pregel.ComputeFunction

Sends the given message to the vertex identified by the given key.

sendMessageTo(K, Message) - Method in class org.apache.flink.graph.spargel.ScatterFunction

Sends the given message to the vertex identified by the given key.

sendMessageToAllNeighbors(Message) - Method in class org.apache.flink.graph.pregel.ComputeFunction

Sends the given message to all vertices that adjacent to the changed vertex.

sendMessageToAllNeighbors(Message) - Method in class org.apache.flink.graph.spargel.ScatterFunction

Sends the given message to all vertices that are targets of an edge of the changed vertex.

SendNewLabelToNeighbors(TypeInformation<VV>) - Constructor for class org.apache.flink.graph.library.LabelPropagation.SendNewLabelToNeighbors

set(boolean) - Method in class org.apache.flink.graph.utils.proxy.OptionalBoolean

Set the boolean state.

setBroadcastHighDegreeVertices(boolean) - Method in class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

After filtering high-degree vertices this algorithm must perform joins on the original graph's vertex set and on both the source and target IDs of the edge set.

setConstants(float, float, float) - Method in class org.apache.flink.graph.generator.RMatGraph

The parameters for recursively subdividing the adjacency matrix.

setDirection(EdgeDirection) - Method in class org.apache.flink.graph.gsa.GSAConfiguration

Sets the direction in which neighbors are to be selected By default the neighbors who are target of the edges are selected

setDirection(EdgeDirection) - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Sets the direction in which messages are sent in the ScatterFunction.

setEdgeGroupCount(Long) - Method in class org.apache.flink.graph.library.Summarization.EdgeValue

setEdgeGroupValue(EV) - Method in class org.apache.flink.graph.library.Summarization.EdgeValue

setFirstDegree(Integer) - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

setFirstVertex(K) - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

setFirstVertex(K) - Method in class org.apache.flink.graph.library.TriangleEnumerator.Triad

setGroupRepresentativeId(K) - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

setGroupRepresentativeId(K) - Method in class org.apache.flink.graph.library.Summarization.VertexWithRepresentative

setGroupSize(int) - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

Override the default group size for the quadratic expansion of neighbor pairs.

setId(K) - Method in class org.apache.flink.graph.Vertex

setIncludeZeroDegreeVertices(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees

By default only the edge set is processed for the computation of degree.

setIncludeZeroDegreeVertices(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexInDegree

By default only the edge set is processed for the computation of degree.

setIncludeZeroDegreeVertices(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexOutDegree

By default only the edge set is processed for the computation of degree.

setIncludeZeroDegreeVertices(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

By default only the edge set is processed for the computation of degree.

setIncludeZeroDegreeVertices(boolean) - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics

By default only the edge set is processed for the computation of degree.

setIncludeZeroDegreeVertices(boolean) - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics

By default only the edge set is processed for the computation of degree.

setInput(DataSet<Vertex<K, VV>>) - Method in class org.apache.flink.graph.gsa.GatherSumApplyIteration

Sets the input data set for this operator.

setInput(DataSet<Vertex<K, VV>>) - Method in class org.apache.flink.graph.pregel.VertexCentricIteration

Sets the input data set for this operator.

setInput(DataSet<Vertex<K, VV>>) - Method in class org.apache.flink.graph.spargel.ScatterGatherIteration

Sets the input data set for this operator.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.directed.TriangleCount

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.directed.TriangleListing

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleCount

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleListing

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.similarity.AdamicAdar

Override the parallelism of operators processing small amounts of data.

setLittleParallelism(int) - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

Override the parallelism of operators processing small amounts of data.

setMaximumScore(int, int) - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

Filter out Jaccard Index scores greater than or equal to the given maximum fraction.

setMinimumRatio(float) - Method in class org.apache.flink.graph.library.similarity.AdamicAdar

Filter out Adamic-Adar scores less than the given ratio times the average score.

setMinimumScore(float) - Method in class org.apache.flink.graph.library.similarity.AdamicAdar

Filter out Adamic-Adar scores less than the given minimum.

setMinimumScore(int, int) - Method in class org.apache.flink.graph.library.similarity.JaccardIndex

Filter out Jaccard Index scores less than the given minimum fraction.

setName(String) - Method in class org.apache.flink.graph.IterationConfiguration

Sets the name for the iteration.

setNewVertexValue(VV) - Method in class org.apache.flink.graph.pregel.ComputeFunction

Sets the new value of this vertex.

setNewVertexValue(VV) - Method in class org.apache.flink.graph.spargel.GatherFunction

Sets the new value of this vertex.

setNoise(boolean, float) - Method in class org.apache.flink.graph.generator.RMatGraph

Enable and configure noise.

setObject(X) - Method in class org.apache.flink.graph.utils.proxy.Delegate

Change the delegated object.

setOptDegrees(boolean) - Method in class org.apache.flink.graph.spargel.ScatterGatherConfiguration

Sets the degree option.

setOptNumVertices(boolean) - Method in class org.apache.flink.graph.IterationConfiguration

Sets the number of vertices option.

setOutput(Vertex<K, VV>, Collector<Vertex<K, VV>>) - Method in class org.apache.flink.graph.gsa.ApplyFunction

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeDegreesPair

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeSourceDegrees

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.EdgeTargetDegrees

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexInDegree

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.directed.VertexOutDegree

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeDegreePair

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeSourceDegree

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeTargetDegree

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.simple.directed.Simplify

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.simple.undirected.Simplify

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.translate.TranslateEdgeValues

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.translate.TranslateGraphIds

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.asm.translate.TranslateVertexValues

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.generator.AbstractGraphGenerator

setParallelism(int) - Method in interface org.apache.flink.graph.generator.GraphGenerator

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.IterationConfiguration

Sets the parallelism for the iteration.

setParallelism(int) - Method in class org.apache.flink.graph.library.link_analysis.HITS

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics

Override the operator parallelism.

setParallelism(int) - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics

Override the operator parallelism.

setReduceOnSourceId(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeTargetDegree

The degree can be counted from either the edge source or target IDs.

setReduceOnTargetId(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeDegreePair

The degree can be counted from either the edge source or target IDs.

setReduceOnTargetId(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.EdgeSourceDegree

The degree can be counted from either the edge source or target IDs.

setReduceOnTargetId(boolean) - Method in class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

The degree can be counted from either the edge source or target IDs.

setReduceOnTargetId(boolean) - Method in class org.apache.flink.graph.asm.degree.filter.undirected.MaximumDegree

The degree can be counted from either the edge source or target IDs.

setReduceOnTargetId(boolean) - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics

The degree can be counted from either the edge source or target IDs.

setResult(VV) - Method in class org.apache.flink.graph.gsa.ApplyFunction

Sets the result for the apply function

setSecondDegree(Integer) - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

setSecondVertex(K) - Method in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

setSecondVertex(K) - Method in class org.apache.flink.graph.library.TriangleEnumerator.Triad

setSolutionSetUnmanagedMemory(boolean) - Method in class org.apache.flink.graph.IterationConfiguration

Defines whether the solution set is kept in managed memory (Flink's internal way of keeping object in serialized form) or as a simple object map.

setSortTriangleVertices(boolean) - Method in class org.apache.flink.graph.library.clustering.directed.TriangleListing

Normalize the triangle listing such that for each result (K0, K1, K2) the vertex IDs are sorted K0 < K1 < K2.

setSortTriangleVertices(boolean) - Method in class org.apache.flink.graph.library.clustering.undirected.TriangleListing

Normalize the triangle listing such that for each result (K0, K1, K2) the vertex IDs are sorted K0 < K1 < K2.

setSource(K) - Method in class org.apache.flink.graph.Edge

setTarget(K) - Method in class org.apache.flink.graph.Edge

setThirdVertex(K) - Method in class org.apache.flink.graph.library.TriangleEnumerator.Triad

setValue(V) - Method in class org.apache.flink.graph.Edge

setValue(V) - Method in class org.apache.flink.graph.Vertex

setVertexGroupCount(Long) - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

setVertexGroupCount(Long) - Method in class org.apache.flink.graph.library.Summarization.VertexValue

setVertexGroupValue(VGV) - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

setVertexGroupValue(VV) - Method in class org.apache.flink.graph.library.Summarization.VertexValue

setVertexId(K) - Method in class org.apache.flink.graph.library.Summarization.VertexGroupItem

setVertexId(K) - Method in class org.apache.flink.graph.library.Summarization.VertexWithRepresentative

Simplify<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.asm.simple.directed

Remove self-loops and duplicate edges from a directed graph.

Simplify() - Constructor for class org.apache.flink.graph.asm.simple.directed.Simplify

Simplify<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.asm.simple.undirected

Add symmetric edges and remove self-loops and duplicate edges from an undirected graph.

Simplify(boolean) - Constructor for class org.apache.flink.graph.asm.simple.undirected.Simplify

Simplifies an undirected graph by adding reverse edges and removing self-loops and duplicate edges.

SingleSourceShortestPaths<K> - Class in org.apache.flink.graph.library

This is an implementation of the Single-Source-Shortest Paths algorithm, using a scatter-gather iteration.

SingleSourceShortestPaths(K, Integer) - Constructor for class org.apache.flink.graph.library.SingleSourceShortestPaths

Creates an instance of the SingleSourceShortestPaths algorithm.

SingleSourceShortestPaths.InitVerticesMapper<K> - Class in org.apache.flink.graph.library

SingleSourceShortestPaths.MinDistanceMessenger<K> - Class in org.apache.flink.graph.library

Distributes the minimum distance associated with a given vertex among all the target vertices summed up with the edge's value.

SingleSourceShortestPaths.VertexDistanceUpdater<K> - Class in org.apache.flink.graph.library

Function that updates the value of a vertex by picking the minimum distance from all incoming messages.

SingletonEdgeGraph - Class in org.apache.flink.graph.generator

A singleton-edge Graph contains one or more isolated two-paths.

SingletonEdgeGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.SingletonEdgeGraph

An undirected Graph containing isolated two-paths.

StarGraph - Class in org.apache.flink.graph.generator

StarGraph(ExecutionEnvironment, long) - Constructor for class org.apache.flink.graph.generator.StarGraph

An undirected Graph containing a single central Vertex connected to all other leaf vertices.

StarGraph.LinkVertexToCenter - Class in org.apache.flink.graph.generator

subgraph(FilterFunction<Vertex<K, VV>>, FilterFunction<Edge<K, EV>>) - Method in class org.apache.flink.graph.Graph

Apply filtering functions to the graph and return a sub-graph that satisfies the predicates for both vertices and edges.

sum(M, M) - Method in class org.apache.flink.graph.gsa.SumFunction

This method is invoked once per superstep, after the GatherFunction in a GatherSumApplyIteration.

SumFunction<VV,EV,M> - Class in org.apache.flink.graph.gsa

The base class for the second step of a GatherSumApplyIteration.

SumFunction() - Constructor for class org.apache.flink.graph.gsa.SumFunction

Summarization<K,VV,EV> - Class in org.apache.flink.graph.library

The summarization algorithm computes a condensed version of the input graph
by grouping vertices and edges based on their values.

Summarization() - Constructor for class org.apache.flink.graph.library.Summarization

Summarization.EdgeValue<EV> - Class in org.apache.flink.graph.library

Value that is stored at a summarized edge.

Summarization.VertexGroupItem<K,VGV> - Class in org.apache.flink.graph.library

Represents a single vertex in a vertex group.

Summarization.VertexValue<VV> - Class in org.apache.flink.graph.library

Value that is stored at a summarized vertex.

Summarization.VertexWithRepresentative<K> - Class in org.apache.flink.graph.library

Represents a vertex identifier and its corresponding vertex group identifier.

T

toString() - Method in class org.apache.flink.graph.library.clustering.directed.GlobalClusteringCoefficient.Result

toString() - Method in class org.apache.flink.graph.library.clustering.undirected.GlobalClusteringCoefficient.Result

toString() - Method in class org.apache.flink.graph.library.metric.directed.VertexMetrics.Result

toString() - Method in class org.apache.flink.graph.library.metric.undirected.VertexMetrics.Result

toVerboseString() - Method in class org.apache.flink.graph.library.clustering.directed.LocalClusteringCoefficient.Result

Format values into a human-readable string.

toVerboseString() - Method in class org.apache.flink.graph.library.clustering.directed.TriangleListing.Result

Format values into a human-readable string.

toVerboseString() - Method in class org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result

Format values into a human-readable string.

toVerboseString() - Method in class org.apache.flink.graph.library.link_analysis.HITS.Result

toVerboseString() - Method in class org.apache.flink.graph.library.similarity.AdamicAdar.Result

toVerboseString() - Method in class org.apache.flink.graph.library.similarity.JaccardIndex.Result

translate(LongValue, LongValue) - Method in class org.apache.flink.graph.asm.translate.LongValueAddOffset

translate(LongValue, IntValue) - Method in class org.apache.flink.graph.asm.translate.LongValueToIntValue

translate(LongValue, StringValue) - Method in class org.apache.flink.graph.asm.translate.LongValueToStringValue

translate(IN, OUT) - Method in class org.apache.flink.graph.asm.translate.RichTranslateFunction

Translate - Class in org.apache.flink.graph.asm.translate

Methods for translation of the type or modification of the data of graph IDs, vertex values, and edge values.

Translate() - Constructor for class org.apache.flink.graph.asm.translate.Translate

translate(T, O) - Method in interface org.apache.flink.graph.asm.translate.TranslateFunction

The translating method.

translateEdgeIds(DataSet<Edge<OLD, EV>>, TranslateFunction<OLD, NEW>) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Edge IDs using the given TranslateFunction.

translateEdgeIds(DataSet<Edge<OLD, EV>>, TranslateFunction<OLD, NEW>, int) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Edge IDs using the given TranslateFunction.

translateEdgeValues(DataSet<Edge<K, OLD>>, TranslateFunction<OLD, NEW>) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Edge values using the given TranslateFunction.

translateEdgeValues(DataSet<Edge<K, OLD>>, TranslateFunction<OLD, NEW>, int) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Edge values using the given TranslateFunction.

TranslateEdgeValues<K,VV,OLD,NEW> - Class in org.apache.flink.graph.asm.translate

Translate Edge values using the given TranslateFunction.

TranslateEdgeValues(TranslateFunction<OLD, NEW>) - Constructor for class org.apache.flink.graph.asm.translate.TranslateEdgeValues

Translate Edge values using the given TranslateFunction.

translateEdgeValues(TranslateFunction<EV, NEW>) - Method in class org.apache.flink.graph.Graph

Translate Edge values using the given MapFunction.

TranslateFunction<T,O> - Interface in org.apache.flink.graph.asm.translate

Base interface for Translate functions.

TranslateGraphIds<OLD,NEW,VV,EV> - Class in org.apache.flink.graph.asm.translate

Translate Vertex and Edge IDs of a Graph using the given TranslateFunction

TranslateGraphIds(TranslateFunction<OLD, NEW>) - Constructor for class org.apache.flink.graph.asm.translate.TranslateGraphIds

Translate Vertex and Edge IDs of a Graph using the given TranslateFunction

translateGraphIds(TranslateFunction<K, NEW>) - Method in class org.apache.flink.graph.Graph

Translate Vertex and Edge IDs using the given MapFunction.

translateVertexIds(DataSet<Vertex<OLD, VV>>, TranslateFunction<OLD, NEW>) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Vertex IDs using the given TranslateFunction.

translateVertexIds(DataSet<Vertex<OLD, VV>>, TranslateFunction<OLD, NEW>, int) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Vertex IDs using the given TranslateFunction.

translateVertexValues(DataSet<Vertex<K, OLD>>, TranslateFunction<OLD, NEW>) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Vertex values using the given TranslateFunction.

translateVertexValues(DataSet<Vertex<K, OLD>>, TranslateFunction<OLD, NEW>, int) - Static method in class org.apache.flink.graph.asm.translate.Translate

Translate Vertex values using the given TranslateFunction.

TranslateVertexValues<K,OLD,NEW,EV> - Class in org.apache.flink.graph.asm.translate

Translate Vertex values using the given TranslateFunction.

TranslateVertexValues(TranslateFunction<OLD, NEW>) - Constructor for class org.apache.flink.graph.asm.translate.TranslateVertexValues

Translate Vertex values using the given TranslateFunction.

translateVertexValues(TranslateFunction<VV, NEW>) - Method in class org.apache.flink.graph.Graph

Translate Vertex values using the given MapFunction.

Triad() - Constructor for class org.apache.flink.graph.library.TriangleEnumerator.Triad

TriangleCount<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.directed

Count the number of distinct triangles in an undirected graph.

TriangleCount() - Constructor for class org.apache.flink.graph.library.clustering.directed.TriangleCount

TriangleCount<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.undirected

Count the number of distinct triangles in an undirected graph.

TriangleCount() - Constructor for class org.apache.flink.graph.library.clustering.undirected.TriangleCount

TriangleEnumerator<K extends Comparable<K>,VV,EV> - Class in org.apache.flink.graph.library

This library method enumerates unique triangles present in the input graph.

TriangleEnumerator() - Constructor for class org.apache.flink.graph.library.TriangleEnumerator

TriangleEnumerator.EdgeWithDegrees<K> - Class in org.apache.flink.graph.library

TriangleEnumerator.Triad<K> - Class in org.apache.flink.graph.library

TriangleListing<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.directed

Generates a listing of distinct triangles from the input graph.

TriangleListing() - Constructor for class org.apache.flink.graph.library.clustering.directed.TriangleListing

TriangleListing<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.clustering.undirected

Generates a listing of distinct triangles from the input graph.

TriangleListing() - Constructor for class org.apache.flink.graph.library.clustering.undirected.TriangleListing

TriangleListing.Result<T> - Class in org.apache.flink.graph.library.clustering.directed

Wraps the vertex type to encapsulate results from the Triangle Listing algorithm.

Triplet<K,VV,EV> - Class in org.apache.flink.graph

A Triplet stores and retrieves the edges along with their corresponding source and target vertices.

Triplet() - Constructor for class org.apache.flink.graph.Triplet

Triplet(Vertex<K, VV>, Vertex<K, VV>, Edge<K, EV>) - Constructor for class org.apache.flink.graph.Triplet

Constructs a Triplet from a given source vertex, target vertex and edge

Triplet(K, K, VV, VV, EV) - Constructor for class org.apache.flink.graph.Triplet

Constructs a Triplet from its src vertex id, src target id, src vertex value, src target value and edge value respectively.

Tuple2ToVertexMap<K,VV> - Class in org.apache.flink.graph.utils

Create a Vertex DataSet from a Tuple2 DataSet

Tuple2ToVertexMap() - Constructor for class org.apache.flink.graph.utils.Tuple2ToVertexMap

Tuple3ToEdgeMap<K,EV> - Class in org.apache.flink.graph.utils

Create an Edge DataSet from a Tuple3 DataSet

Tuple3ToEdgeMap() - Constructor for class org.apache.flink.graph.utils.Tuple3ToEdgeMap

types(Class<K>, Class<VV>, Class<EV>) - Method in class org.apache.flink.graph.GraphCsvReader

Creates a Graph from CSV input with vertex values and edge values.

U

union(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.Graph

Performs union on the vertices and edges sets of the input graphs removing duplicate vertices but maintaining duplicate edges.

unset() - Method in class org.apache.flink.graph.utils.proxy.OptionalBoolean

Reset to the unset state.

updateVertex(Vertex<K, Tuple2<Long, Double>>, MessageIterator<Tuple2<Long, Double>>) - Method in class org.apache.flink.graph.library.CommunityDetection.VertexLabelUpdater

updateVertex(Vertex<K, VV>, MessageIterator<VV>) - Method in class org.apache.flink.graph.library.ConnectedComponents.CCUpdater

updateVertex(Vertex<K, VV>, MessageIterator<VV>) - Method in class org.apache.flink.graph.library.LabelPropagation.UpdateVertexLabel

updateVertex(Vertex<K, Double>, MessageIterator<Double>) - Method in class org.apache.flink.graph.library.PageRank.VertexRankUpdater

updateVertex(Vertex<K, Double>, MessageIterator<Double>) - Method in class org.apache.flink.graph.library.SingleSourceShortestPaths.VertexDistanceUpdater

updateVertex(Vertex<K, VV>, MessageIterator<Message>) - Method in class org.apache.flink.graph.spargel.GatherFunction

This method is invoked once per vertex per superstep.

UpdateVertexLabel() - Constructor for class org.apache.flink.graph.library.LabelPropagation.UpdateVertexLabel

V

V1 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

V1 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.Triad

V2 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.EdgeWithDegrees

V2 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.Triad

V3 - Static variable in class org.apache.flink.graph.library.TriangleEnumerator.Triad

validate(GraphValidator<K, VV, EV>) - Method in class org.apache.flink.graph.Graph

Function that checks whether a Graph is a valid Graph, as defined by the given GraphValidator.

validate(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.validation.GraphValidator

validate(Graph<K, VV, EV>) - Method in class org.apache.flink.graph.validation.InvalidVertexIdsValidator

Checks that the edge set input contains valid vertex Ids, i.e.

valueOf(String) - Static method in enum org.apache.flink.graph.EdgeDirection

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.flink.graph.EdgeOrder

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.flink.graph.utils.proxy.OptionalBoolean.State

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.apache.flink.graph.EdgeDirection

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.flink.graph.EdgeOrder

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.flink.graph.utils.proxy.OptionalBoolean.State

Returns an array containing the constants of this enum type, in the order they are declared.

Vertex<K,V> - Class in org.apache.flink.graph

Represents the graph's nodes.

Vertex() - Constructor for class org.apache.flink.graph.Vertex

Vertex(K, V) - Constructor for class org.apache.flink.graph.Vertex

VertexCentricConfiguration - Class in org.apache.flink.graph.pregel

A VertexCentricConfiguration object can be used to set the iteration name and degree of parallelism, to register aggregators and use broadcast sets in the ComputeFunction.

VertexCentricConfiguration() - Constructor for class org.apache.flink.graph.pregel.VertexCentricConfiguration

VertexCentricIteration<K,VV,EV,Message> - Class in org.apache.flink.graph.pregel

This class represents iterative graph computations, programmed in a vertex-centric perspective.

VertexCentricIteration.MessageCombinerUdf<K,Message> - Class in org.apache.flink.graph.pregel

VertexDegree<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.undirected

Annotates vertices of an undirected graph with the degree.

VertexDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.undirected.VertexDegree

VertexDegrees<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.directed

Annotates vertices of a directed graph with the degree, out-, and in-degree.

VertexDegrees() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.VertexDegrees

VertexDegrees.Degrees - Class in org.apache.flink.graph.asm.degree.annotate.directed

Wraps the vertex degree, out-degree, and in-degree.

VertexDistanceUpdater() - Constructor for class org.apache.flink.graph.library.SingleSourceShortestPaths.VertexDistanceUpdater

VertexGroupItem() - Constructor for class org.apache.flink.graph.library.Summarization.VertexGroupItem

VertexInDegree<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.directed

Annotates vertices of a directed graph with the in-degree.

VertexInDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.VertexInDegree

vertexJoin(VV, T) - Method in interface org.apache.flink.graph.VertexJoinFunction

Applies a transformation on the current vertex value and the value of the matched tuple of the input DataSet.

VertexJoinFunction<VV,T> - Interface in org.apache.flink.graph

Interface to be implemented by the transformation function applied in Graph.joinWithVertices(DataSet, VertexJoinFunction) method.

vertexKey - Variable in class org.apache.flink.graph.GraphCsvReader

VertexLabelUpdater(double) - Constructor for class org.apache.flink.graph.library.CommunityDetection.VertexLabelUpdater

VertexMetrics<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.metric.directed

Compute the number of vertices, number of edges, and number of triplets in a directed graph.

VertexMetrics() - Constructor for class org.apache.flink.graph.library.metric.directed.VertexMetrics

VertexMetrics<K extends Comparable<K> & org.apache.flink.types.CopyableValue<K>,VV,EV> - Class in org.apache.flink.graph.library.metric.undirected

Compute the number of vertices, number of edges, and number of triplets in an undirected graph.

VertexMetrics() - Constructor for class org.apache.flink.graph.library.metric.undirected.VertexMetrics

VertexMetrics.Result - Class in org.apache.flink.graph.library.metric.directed

Wraps vertex metrics.

VertexMetrics.Result - Class in org.apache.flink.graph.library.metric.undirected

Wraps vertex metrics.

VertexOutDegree<K,VV,EV> - Class in org.apache.flink.graph.asm.degree.annotate.directed

Annotates vertices of a directed graph with the out-degree.

VertexOutDegree() - Constructor for class org.apache.flink.graph.asm.degree.annotate.directed.VertexOutDegree

VertexRankUpdater(double) - Constructor for class org.apache.flink.graph.library.PageRank.VertexRankUpdater

vertexReader - Variable in class org.apache.flink.graph.GraphCsvReader

vertexSequence(ExecutionEnvironment, int, long) - Static method in class org.apache.flink.graph.generator.GraphGeneratorUtils

Generates Vertices with sequential, numerical labels.

vertexSet(DataSet<Edge<K, EV>>, int) - Static method in class org.apache.flink.graph.generator.GraphGeneratorUtils

Generates Vertices present in the given set of Edges.

VertexToTuple2Map<K,VV> - Class in org.apache.flink.graph.utils

Create a Tuple2 DataSet from a Vertex DataSet

VertexToTuple2Map() - Constructor for class org.apache.flink.graph.utils.VertexToTuple2Map

vertexTypes(Class<K>, Class<VV>) - Method in class org.apache.flink.graph.GraphCsvReader

Creates a Graph from CSV input without edge values.

vertexValue - Variable in class org.apache.flink.graph.GraphCsvReader

VertexValue() - Constructor for class org.apache.flink.graph.library.Summarization.VertexValue

VertexWithRepresentative() - Constructor for class org.apache.flink.graph.library.Summarization.VertexWithRepresentative

W

withEdges(DataSet<Edge<K, EV>>, GatherFunction<VV, EV, M>, SumFunction<VV, EV, M>, ApplyFunction<K, VV, M>, int) - Static method in class org.apache.flink.graph.gsa.GatherSumApplyIteration

Creates a new gather-sum-apply iteration operator for graphs

withEdges(DataSet<Edge<K, EV>>, ComputeFunction<K, VV, EV, Message>, int) - Static method in class org.apache.flink.graph.pregel.VertexCentricIteration

Creates a new vertex-centric iteration operator.

withEdges(DataSet<Edge<K, EV>>, ComputeFunction<K, VV, EV, Message>, MessageCombiner<K, Message>, int) - Static method in class org.apache.flink.graph.pregel.VertexCentricIteration

Creates a new vertex-centric iteration operator for graphs where the edges are associated with a value (such as a weight or distance).

withEdges(DataSet<Edge<K, EV>>, ScatterFunction<K, VV, Message, EV>, GatherFunction<K, VV, Message>, int) - Static method in class org.apache.flink.graph.spargel.ScatterGatherIteration

Creates a new scatter-gather iteration operator for graphs where the edges are associated with a value (such as a weight or distance).

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