Uses of Class
oracle.pgx.api.PgxFuture

Packages that use PgxFuture

Package	Description
oracle.pgx.api	This package contains the main Java APIs.
oracle.pgx.api.admin	This package contains the administrative interfaces of PGX.
oracle.pgx.api.executionenvironment	This packages contains classes for session execution environments.
oracle.pgx.api.expansion	This package contains classes and utilities to support the subgraph expansion functionality.
oracle.pgx.api.frames	This package contains classes and utilities to build and manipulate PGX Frames.
oracle.pgx.api.graphalteration	This package contains the APIs for the alterGraph mutation.
oracle.pgx.api.mllib	This package contains graph machine learning tools for use with PGX.
oracle.pgx.api.subgraph	This package contains classes and utilities to support the subgraph reading functionality.

Uses of PgxFuture in oracle.pgx.api

Methods in oracle.pgx.api that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<EdgeProperty<java.lang.Double>>	Analyst.adamicAdarCountingAsync(PgxGraph graph) The adamic-adar index compares the amount of neighbors shared between vertices, this measure can be used with communities.
PgxFuture<EdgeProperty<java.lang.Double>>	Analyst.adamicAdarCountingAsync(PgxGraph graph, EdgeProperty<java.lang.Double> aa) The adamic-adar index compares the amount of neighbors shared between vertices, this measure can be used with communities.
PgxFuture<java.lang.Void>	PgxCollection.addAllAsync(E[] elements) Add elements to an existing collection.
PgxFuture<java.lang.Void>	GraphEntityCollection.addAllByIdAsync(java.util.Collection<ID> source) Adds vertices/edges to an existing collection using their associated IDs
PgxFuture<java.lang.Void>	ScalarCollection.addAllElementsAsync(java.util.Collection<E> source)
abstract PgxFuture<java.lang.Void>	PgxCollection.addAllElementsAsync(java.util.Collection<E> source) Adds elements to an existing collection.
PgxFuture<java.lang.Void>	GraphEntityCollection.addAllElementsAsync(java.util.Collection<E> source)
PgxFuture<java.lang.Void>	ComponentCollection.addAllElementsAsync(java.util.Collection<PgxVertex<ID>> source)
PgxFuture<java.lang.Void>	PgxGraph.addRedactionRuleAsync(oracle.pgx.config.PgxRedactionRuleConfig ruleConfig, AuthorizationType type, java.lang.String... names) Add a redaction rule configuration for an AuthorizationType names.
static <T> PgxFuture<java.lang.Void>	PgxFuture.allOf(java.util.List<PgxFuture<T>> promises)
<ID> PgxFuture<org.apache.commons.lang3.tuple.Triple<VertexSet<ID>,EdgeSet,PgxMap<PgxVertex<ID>,java.lang.Integer>>>	Analyst.allReachableVerticesEdgesAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int k) Finds all the vertices and edges on a path between the src and target of length smaller or equal to k.
<ID> PgxFuture<org.apache.commons.lang3.tuple.Triple<VertexSet<ID>,EdgeSet,PgxMap<PgxVertex<ID>,java.lang.Integer>>>	Analyst.allReachableVerticesEdgesFilteredAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int k, EdgeFilter filter) Finds all the vertices and edges on a path between the src and target of length smaller or equal to k.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.approximateVertexBetweennessCentralityAsync(PgxGraph graph, int k) Faster, but less accurate than betweenness centrality, it identifies important vertices for the flow of information
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.approximateVertexBetweennessCentralityAsync(PgxGraph graph, int k, VertexProperty<ID,java.lang.Double> bc) Faster, but less accurate than betweenness centrality, it identifies important vertices for the flow of information
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.approximateVertexBetweennessCentralityFromSeedsAsync(PgxGraph graph, PgxVertex<ID>... seeds) Faster, but less accurate than betweenness centrality, it identifies important vertices for the flow of information
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.approximateVertexBetweennessCentralityFromSeedsAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> bc, PgxVertex<ID>... seeds) Faster, but less accurate than betweenness centrality, it identifies important vertices for the flow of information
<ID> PgxFuture<VertexProperty<ID,java.lang.Boolean>>	Analyst.bipartiteCheckAsync(PgxGraph graph, VertexProperty<ID,java.lang.Boolean> isLeft) Bipartite check verifies whether are graph is a bipartite graph.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromInDegreeAsync() Create a bipartite version of this graph with all vertices of in-degree = 0 being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromInDegreeAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, java.lang.String newGraphName) Create a bipartite version of this graph with all vertices of in-degree = 0 being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromInDegreeAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, java.lang.String newGraphName, java.lang.String isLeftPropName, boolean inPlace) Create a bipartite version of this graph with all vertices of in-degree = 0 being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromInDegreeAsync(java.lang.String newGraphName) Create a bipartite version of this graph with all vertices of in-degree = 0 being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromLeftSetAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, VertexSet<?> vertexSet, java.lang.String newGraphName) Create a bipartite version of this graph with the given vertex set being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromLeftSetAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, VertexSet<?> vertexSet, java.lang.String newGraphName, java.lang.String isLeftPropName) Create a bipartite version of this graph with the given vertex set being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromLeftSetAsync(VertexSet<?> vertexSet) Create a bipartite version of this graph with the given vertex set being the left set.
PgxFuture<BipartiteGraph>	PgxGraph.bipartiteSubGraphFromLeftSetAsync(VertexSet<?> vertexSet, java.lang.String newGraphName) Create a bipartite version of this graph with the given vertex set being the left set.
PgxFuture<PgxGraph>	GraphBuilder.buildAsync() Shortcut for GraphBuilder.buildAsync(String) without a name
PgxFuture<PgxGraph>	GraphBuilderImpl.buildAsync()
PgxFuture<PgxGraph>	GraphBuilder.buildAsync(java.lang.String newGraphName) Builds a new graph out of the changes in this graph builder
PgxFuture<PgxGraph>	GraphBuilderImpl.buildAsync(java.lang.String newGraphName)
PgxFuture<PgxGraph>	GraphChangeSetImpl.buildNewSnapshotAsync()
PgxFuture<PgxGraph>	GraphChangeSet.buildNewSnapshotAsync() Builds a new snapshot of the graph out of this GraphChangeSet: the resulting PgxGraph is a new snapshot of the PgxGraph object this was created from.
PgxFuture<T>	PgxFuture.cancelOn(PgxFuture promise) If given promise completes exceptionally because it was canceled, CompletableFuture.cancel(boolean) gets called on this promise as well.
<ID> PgxFuture<VertexSet<ID>>	Analyst.centerAsync(PgxGraph graph) Periphery/center gives an overview of the extreme distances and the corresponding vertices in a graph
<ID> PgxFuture<VertexSet<ID>>	Analyst.centerAsync(PgxGraph graph, VertexSet<ID> center) Periphery/center gives an overview of the extreme distances and the corresponding vertices in a graph
PgxFuture<java.lang.Void>	ComponentCollection.clearAsync()
PgxFuture<java.lang.Void>	PgxCollection.clearAsync() Clear an existing collection
PgxFuture<PgxGraph>	PgxGraph.cloneAndExecutePgqlAsync(java.lang.String pgqlString) Convenience method of PgxGraph.cloneAndExecutePgqlAsync(String, String) Passing String(name) as null
PgxFuture<PgxGraph>	PgxGraph.cloneAndExecutePgqlAsync(java.lang.String pgqlString, java.lang.String newGraphName) Submits a pattern matching query (from a PgxGraph) on a clone of the graph.
PgxFuture<PgxGraph>	PgxGraph.cloneAsync() Convenience method of PgxGraph.cloneAsync(String) Passing String(name) as null
PgxFuture<VertexProperty<ID,V>>	VertexProperty.cloneAsync() Create a copy of this property. Convenience method for VertexProperty.cloneAsync(String) passing newPropertyName as null
PgxFuture<EdgeProperty<V>>	EdgeProperty.cloneAsync() Create a copy of this property. Convenience method for EdgeProperty.cloneAsync(String) passing newPropertyName as null
PgxFuture<PgxCollection<E,ID>>	PgxCollection.cloneAsync() Convenience method around PgxCollection.cloneAsync(String) passing name as null Clone an existing collection.
PgxFuture<PgxGraph>	PgxGraph.cloneAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, java.lang.String newGraphName) Creates a deep copy of this graph.
PgxFuture<PgxGraph>	PgxGraph.cloneAsync(java.lang.String newGraphName) Convenience method of PgxGraph.cloneAsync(Collection, Collection, String) Passing Collection(vertexProperties) as VertexProperty.ALL Collection(edgeProperties) as EdgeProperty.ALL
PgxFuture<VertexProperty<ID,V>>	VertexProperty.cloneAsync(java.lang.String newPropertyName) Creates a copy of this property.
PgxFuture<PgxCollection<PgxVertex<ID>,ID>>	ComponentCollection.cloneAsync(java.lang.String newName)
PgxFuture<EdgeProperty<V>>	EdgeProperty.cloneAsync(java.lang.String newPropertyName) Creates a copy of this property.
PgxFuture<PgxCollection<E,ID>>	PgxCollection.cloneAsync(java.lang.String newName) Clone an existing collection.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.closenessCentralityDoubleLengthAsync(PgxGraph graph, EdgeProperty<java.lang.Double> cost) Closeness centrality measures the centrality of the vertices based on weighted distances, allowing to find well-connected vertices
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.closenessCentralityDoubleLengthAsync(PgxGraph graph, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,java.lang.Double> cc) Closeness centrality measures the centrality of the vertices based on weighted distances, allowing to find well-connected vertices
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.closenessCentralityUnitLengthAsync(PgxGraph graph) Closeness centrality measures the centrality of the vertices based on distances, allowing to find well-connected vertices
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.closenessCentralityUnitLengthAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> cc) Closeness centrality measures the centrality of the vertices based on distances, allowing to find well-connected vertices
<E> PgxFuture<EdgeProperty<PgxVect<E>>>	PgxGraph.combineEdgePropertiesIntoVectorPropertyAsync(java.util.List<EdgeProperty<E>> edgePropertyList) Takes a list of scalar edge properties of same type and creates a new edge vector property by combining them.
<E> PgxFuture<EdgeProperty<PgxVect<E>>>	PgxGraph.combineEdgePropertiesIntoVectorPropertyAsync(java.util.List<EdgeProperty<E>> edgePropertyList, java.lang.String name) Takes a list of scalar edge properties of same type and creates a new edge vector property by combining them.
<ID,V> PgxFuture<VertexProperty<ID,PgxVect<V>>>	PgxGraph.combineVertexPropertiesIntoVectorPropertyAsync(java.util.List<VertexProperty<ID,V>> vertexPropertyList) Takes a list of scalar vertex properties of same type and creates a new vertex vector property by combining them.
<ID,V> PgxFuture<VertexProperty<ID,PgxVect<V>>>	PgxGraph.combineVertexPropertiesIntoVectorPropertyAsync(java.util.List<VertexProperty<ID,V>> vertexPropertyList, java.lang.String name) Takes a list of scalar vertex properties of same type and creates a new vertex vector property by combining them.
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesConductanceMinimizationAsync(PgxGraph graph) Soman and Narang can find communities in a graph taking weighted edges into account
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesConductanceMinimizationAsync(PgxGraph graph, int max) Soman and Narang can find communities in a graph taking weighted edges into account
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesConductanceMinimizationAsync(PgxGraph graph, int maxIterations, VertexProperty<ID,java.lang.Long> partitionDistribution) Soman and Narang can find communities in a graph taking weighted edges into account
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesConductanceMinimizationAsync(PgxGraph graph, VertexProperty<ID,java.lang.Long> partitionDistribution) Soman and Narang can find communities in a graph taking weighted edges into account
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesInfomapAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> rank, EdgeProperty<java.lang.Double> weight) Infomap can find high quality communities in a graph.
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesInfomapAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> rank, EdgeProperty<java.lang.Double> weight, double tau, double tol, int maxIter) Infomap can find high quality communities in a graph.
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesInfomapAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> rank, EdgeProperty<java.lang.Double> weight, double tau, double tol, int maxIter, VertexProperty<ID,java.lang.Long> module) Infomap can find high quality communities in a graph.
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesInfomapAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> rank, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Long> module) Infomap can find high quality communities in a graph.
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesLabelPropagationAsync(PgxGraph graph) Label propagation can find communities in a graph relatively fast
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesLabelPropagationAsync(PgxGraph graph, int maxIterations) Label propagation can find communities in a graph relatively fast
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesLabelPropagationAsync(PgxGraph graph, int maxIterations, VertexProperty<ID,java.lang.Long> partitionDistribution) Label propagation can find communities in a graph relatively fast
<ID> PgxFuture<Partition<ID>>	Analyst.communitiesLabelPropagationAsync(PgxGraph graph, VertexProperty<ID,java.lang.Long> partitionDistribution) Label propagation can find communities in a graph relatively fast
PgxFuture<CompiledProgram>	PgxSession.compileProgramAsync(java.io.InputStream code) Deprecated.
PgxFuture<CompiledProgram>	PgxSession.compileProgramAsync(java.io.InputStream code, boolean overwrite) Deprecated.
PgxFuture<CompiledProgram>	PgxSession.compileProgramAsync(java.lang.String path) Deprecated.
PgxFuture<CompiledProgram>	PgxSession.compileProgramAsync(java.lang.String path, boolean overwrite) Deprecated.
PgxFuture<CompiledProgram>	PgxSession.compileProgramCodeAsync(java.lang.String code) Compiles a Green-Marl program for parallel execution with all optimizations enabled.
PgxFuture<CompiledProgram>	PgxSession.compileProgramCodeAsync(java.lang.String code, boolean overwrite) Compiles a Green-Marl program for parallel execution with all optimizations enabled.
PgxFuture<CompiledProgram>	PgxSession.compileProgramCodeAsync(java.lang.String code, boolean overwrite, boolean parallel, java.util.List<GmCompilerOptimization> disabledOptimizations, boolean verbose) Compiles a Green-Marl program.
static <T> PgxFuture<T>	PgxFuture.completedFuture(T arg)
<ID> PgxFuture<Pair<PgxMap<java.lang.Integer,PgxVertex<ID>>,VertexSet<ID>>>	Analyst.computeHighDegreeVerticesAsync(PgxGraph graph, int k) Computes the k vertices with the highest degrees in the graph.
<ID> PgxFuture<Pair<PgxMap<java.lang.Integer,PgxVertex<ID>>,VertexSet<ID>>>	Analyst.computeHighDegreeVerticesAsync(PgxGraph graph, int k, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices) Computes the k vertices with the highest degrees in the graph.
<ID> PgxFuture<Scalar<java.lang.Double>>	Analyst.conductanceAsync(PgxGraph graph, Partition<ID> partition, long partitionIndex) Conductance assesses the quality of a partition in a graph
<ID> PgxFuture<Scalar<java.lang.Double>>	Analyst.conductanceAsync(PgxGraph graph, Partition<ID> partition, long partitionIndex, Scalar<java.lang.Double> conductance) Conductance assesses the quality of a partition in a graph
PgxFuture<java.lang.Boolean>	ScalarCollection.containsAsync(E element)
abstract PgxFuture<java.lang.Boolean>	PgxCollection.containsAsync(E element) Returns true if this collection contains the specified element.
PgxFuture<java.lang.Boolean>	GraphEntityCollection.containsAsync(E element)
PgxFuture<java.lang.Boolean>	ComponentCollection.containsAsync(PgxVertex<ID> element)
PgxFuture<java.lang.Boolean>	PgxMap.containsKeyAsync(K key) Checks if the map contains key.
PgxFuture<java.lang.Long>	Analyst.countTrianglesAsync(PgxGraph graph, boolean sortVerticesByDegree) triangle counting gives an overview of the amount of connections between vertices in neighborhoods
<ID> PgxFuture<AllPaths<ID>>	PgxGraph.createAllPathsAsync(PgxVertex<ID> src, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,java.lang.Double> dist, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Creates a AllPaths object representing all the shortest paths from a single source to all the possible destinations (shortest regarding the given edge costs).
<ID> PgxFuture<Partition<ID>>	PgxGraph.createComponentsAsync(VertexProperty<ID,java.lang.Long> components, long numComponents) Creates a Partition object holding a collection of vertex sets, each representing a component.
<ID> PgxFuture<VertexProperty<ID,PgxVect<java.lang.Integer>>>	Analyst.createDistanceIndexAsync(PgxGraph graph, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices) Computes an index with distances to each high-degree vertex.
<ID> PgxFuture<VertexProperty<ID,PgxVect<java.lang.Integer>>>	Analyst.createDistanceIndexAsync(PgxGraph graph, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices, VertexProperty<ID,PgxVect<java.lang.Integer>> index) Computes an index with distances to each high-degree vertex.
<V> PgxFuture<EdgeProperty<V>>	PgxGraph.createEdgePropertyAsync(PropertyType type) Creates a session-bound edge property
<V> PgxFuture<EdgeProperty<V>>	PgxGraph.createEdgePropertyAsync(PropertyType type, java.lang.String name) Creates a session-bound edge property
PgxFuture<EdgeSequence>	PgxGraph.createEdgeSequenceAsync() Creates a new edge sequence.
PgxFuture<EdgeSequence>	PgxGraph.createEdgeSequenceAsync(java.lang.String name) Creates a new edge sequence.
PgxFuture<EdgeSet>	PgxGraph.createEdgeSetAsync() Creates a new edge set.
PgxFuture<EdgeSet>	PgxGraph.createEdgeSetAsync(java.lang.String name) Creates a new edge set.
<V> PgxFuture<EdgeProperty<PgxVect<V>>>	PgxGraph.createEdgeVectorPropertyAsync(PropertyType type, int dimension) Creates a session-bound edge vector property
<V> PgxFuture<EdgeProperty<PgxVect<V>>>	PgxGraph.createEdgeVectorPropertyAsync(PropertyType type, int dimension, java.lang.String name) Creates a session-bound edge vector property
PgxFuture<PgxFrame>	PgxSession.createFrameAsync(java.util.List<ColumnDescriptor> schema, java.util.Map<java.lang.String,java.lang.Iterable<?>> columnData, java.lang.String frameName) Creates a new frame from client-side data
PgxFuture<PgxGraph>	PgxSession.createGraphFromFramesAsync(java.lang.String graphName, PgxFrame vertexFrame, PgxFrame edgeFrame) Creates an homogeneous graph from the specified frames that represent the vertices and edges of the graph.
<K,V> PgxFuture<PgxMap<K,V>>	PgxGraph.createMapAsync(PropertyType keyType, PropertyType valType) Creates a session-bound map
<K,V> PgxFuture<PgxMap<K,V>>	PgxSession.createMapAsync(PropertyType keyType, PropertyType valueType) Convenience method around PgxSession.createMapAsync(PropertyType, PropertyType, String) passing name as null.
<K,V> PgxFuture<PgxMap<K,V>>	PgxGraph.createMapAsync(PropertyType keyType, PropertyType valType, java.lang.String mapName) Creates a session-bound map
<K,V> PgxFuture<PgxMap<K,V>>	PgxSession.createMapAsync(PropertyType keyType, PropertyType valueType, java.lang.String name) Creates a map.
<ID> PgxFuture<PgxPath<ID>>	PgxGraph.createPathAsync(PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Creates a PgxPath object representing the shortest path from one source to one destination (shortest regarding the given edge costs).
<ID> PgxFuture<PgxPath<ID>>	PgxGraph.createPathAsync(VertexSequence<ID> nodeSequence, EdgeSequence edgeSequence) Creates a PgxPath object from a sequence of vertices and edges.
<T> PgxFuture<Scalar<T>>	PgxGraph.createScalarAsync(PropertyType type) Creates a new Scalar.
<T> PgxFuture<Scalar<T>>	PgxGraph.createScalarAsync(PropertyType type, java.lang.String newScalarName) Create a session-bound scalar.
<T> PgxFuture<ScalarSequence<T>>	PgxSession.createSequenceAsync(PropertyType contentType) Convenience method around PgxSession.createSequenceAsync(PropertyType, String) passing name as null.
<T> PgxFuture<ScalarSequence<T>>	PgxSession.createSequenceAsync(PropertyType contentType, java.lang.String name) Creates a sequence of scalars.
PgxFuture<PgxSession>	ServerInstance.createSessionAsync(java.lang.String source) Create a new session.
PgxFuture<PgxSession>	ServerInstance.createSessionAsync(java.lang.String source, java.lang.Long idleTimeout, java.lang.Long taskTimeout, java.util.concurrent.TimeUnit unit) Creates a new session.
<T> PgxFuture<ScalarSet<T>>	PgxSession.createSetAsync(PropertyType contentType) Convenience method around PgxSession.createSetAsync(PropertyType, String) passing name as null.
<T> PgxFuture<ScalarSet<T>>	PgxSession.createSetAsync(PropertyType contentType, java.lang.String name) Creates a set of scalars.
<T> PgxFuture<Scalar<PgxVect<T>>>	PgxGraph.createVectorScalarAsync(PropertyType type, int dimension) Create a session-bound vector scalar.
<T> PgxFuture<Scalar<PgxVect<T>>>	PgxGraph.createVectorScalarAsync(PropertyType type, int dimension, java.lang.String newScalarName) Create a session-bound vector scalar.
<ID,V> PgxFuture<VertexProperty<ID,V>>	PgxGraph.createVertexPropertyAsync(PropertyType type) Creates a session-bound vertex property
<ID,V> PgxFuture<VertexProperty<ID,V>>	PgxGraph.createVertexPropertyAsync(PropertyType type, java.lang.String name) Creates a session-bound vertex property
<E> PgxFuture<VertexSequence<E>>	PgxGraph.createVertexSequenceAsync() Creates a new vertex sequence.
<E> PgxFuture<VertexSequence<E>>	PgxGraph.createVertexSequenceAsync(java.lang.String name) Creates a new vertex sequence.
<E> PgxFuture<VertexSet<E>>	PgxGraph.createVertexSetAsync() Creates a new vertex set.
<E> PgxFuture<VertexSet<E>>	PgxGraph.createVertexSetAsync(java.lang.String name) Creates a new vertex set.
<ID,V> PgxFuture<VertexProperty<ID,PgxVect<V>>>	PgxGraph.createVertexVectorPropertyAsync(PropertyType type, int dimension) Creates a session-bound vertex vector property
<ID,V> PgxFuture<VertexProperty<ID,PgxVect<V>>>	PgxGraph.createVertexVectorPropertyAsync(PropertyType type, int dimension, java.lang.String name) Creates a session-bound vertex vector property
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.degreeCentralityAsync(PgxGraph graph) Degree centrality measures the centrality of the vertices based on its degree, letting you see how a vertex influences its neighborhood
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.degreeCentralityAsync(PgxGraph graph, java.lang.String propertyName)
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.degreeCentralityAsync(PgxGraph graph, VertexProperty<ID,java.lang.Integer> dc) Degree centrality measures the centrality of the vertices based on its degree, letting you see how a vertex influences its neighborhood
PgxFuture<GraphConfig>	PgxSession.describeGraphAsync(oracle.pgx.loaders.location.GraphLocation location) Describes the graph contained in a given graph location
PgxFuture<GraphConfig>	PgxSession.describeGraphFileAsync(java.lang.String path) Describes the graph contained in the file at the given path.
PgxFuture<GraphConfig>	PgxSession.describeGraphFileAsync(java.lang.String path, Format format) Describes the graph contained in the file at the given path.
PgxFuture<GraphConfig>	PgxSession.describeGraphFilesAsync(java.util.List<java.lang.String> filePaths) Describes the graph contained in the files at the given paths.
PgxFuture<GraphConfig>	PgxSession.describeGraphFilesAsync(java.util.List<java.lang.String> filePaths, Format format) Describes the graph contained in the files at the given paths.
PgxFuture<GraphConfig>	PgxSession.describeGraphFilesAsync(java.util.List<java.lang.String> vertexFilePaths, java.util.List<java.lang.String> edgeFilePaths) Describes the graph contained in the files at the given paths.
PgxFuture<GraphConfig>	PgxSession.describeGraphFilesAsync(java.util.List<java.lang.String> vertexFilePaths, java.util.List<java.lang.String> edgeFilePaths, Format format) Describes the graph contained in the files at the given paths.
PgxFuture<GraphConfig>	PgxSession.describeGraphFilesAsync(java.lang.String vertexFilePath, java.lang.String edgeFilePath) Describes the graph contained in the files at the given paths.
PgxFuture<GraphConfig>	PgxSession.describeGraphFilesAsync(java.lang.String vertexFilePath, java.lang.String edgeFilePath, Format format) Describes the graph contained in the files at the given paths.
PgxFuture<java.lang.Void>	PgxGraph.destroyAsync() Destroy a graph with all its properties.
PgxFuture<java.lang.Void>	ComponentCollection.destroyAsync()
PgxFuture<java.lang.Void>	Scalar.destroyAsync()
abstract PgxFuture<java.lang.Void>	Destroyable.destroyAsync() Requests destruction of this object.
PgxFuture<java.lang.Void>	AllPaths.destroyAsync()
PgxFuture<java.lang.Void>	PgxPath.destroyAsync()
PgxFuture<java.lang.Void>	Property.destroyAsync()
PgxFuture<java.lang.Void>	PgxSession.destroyAsync() Destroys the active session.
PgxFuture<java.lang.Void>	PgxCollection.destroyAsync()
PgxFuture<java.lang.Void>	Analyst.destroyAsync()
PgxFuture<java.lang.Void>	PgxMap.destroyAsync() Destroys this map
PgxFuture<java.lang.Void>	CompiledProgram.destroyAsync()
PgxFuture<java.lang.Void>	Partition.destroyAsync()
PgxFuture<java.lang.Void>	ComponentCollection.destroyAsync(boolean ignoreNotFound) Deprecated. since 20.2.1 - use ComponentCollection.destroyAsync() instead
PgxFuture<java.lang.Void>	CompiledProgram.destroyAsync(boolean ignoreNotFound) Deprecated. since 20.2.1 - use CompiledProgram.destroyAsync() instead
PgxFuture<java.lang.Void>	Partition.destroyAsync(boolean ignoreNotFound) Deprecated. since 20.2.1 - use Partition.destroyAsync() instead
PgxFuture<java.lang.Void>	PgxGraph.destroyEdgePropertyIfExistsAsync(java.lang.String name) Destroys an edge property if it exists.
PgxFuture<java.lang.Void>	PgxGraph.destroyVertexPropertyIfExistsAsync(java.lang.String name) Destroys a vertex property if it exists.
<ID> PgxFuture<Pair<Scalar<java.lang.Integer>,VertexProperty<ID,java.lang.Integer>>>	Analyst.diameterAsync(PgxGraph graph) Diameter/radius gives an overview of the distances in a graph
<ID> PgxFuture<Pair<Scalar<java.lang.Integer>,VertexProperty<ID,java.lang.Integer>>>	Analyst.diameterAsync(PgxGraph graph, Scalar<java.lang.Integer> diameter, VertexProperty<ID,java.lang.Integer> eccentricity) Diameter/radius gives an overview of the distances in a graph
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.eigenvectorCentralityAsync(PgxGraph graph) Eigenvector centrality gets the centrality of the vertices in an intricate way using neighbors, allowing to find well-connected vertices
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.eigenvectorCentralityAsync(PgxGraph graph, int max, double maxDiff, boolean useL2Norm, boolean useInEdge) Eigenvector centrality gets the centrality of the vertices in an intricate way using neighbors, allowing to find well-connected vertices
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.eigenvectorCentralityAsync(PgxGraph graph, int max, double maxDiff, boolean useL2Norm, boolean useInEdge, VertexProperty<ID,java.lang.Double> ec) Eigenvector centrality gets the centrality of the vertices in an intricate way using neighbors, allowing to find well-connected vertices
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.eigenvectorCentralityAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> ec) Eigenvector centrality gets the centrality of the vertices in an intricate way using neighbors, allowing to find well-connected vertices
PgxFuture<MapIterable<K,V>>	PgxMap.entriesAsync() Gets an entry set.
<ID> PgxFuture<org.apache.commons.lang3.tuple.Triple<ScalarSequence<java.lang.Integer>,VertexSequence<ID>,EdgeSequence>>	Analyst.enumerateSimplePathsAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int k, VertexSet verticesOnPath, EdgeSet edgesOnPath, PgxMap<PgxVertex<ID>,java.lang.Integer> dist) Enumerate all simple paths between the source and destination vertex
PgxFuture<T>	PgxFuture.exceptionally(java.util.function.Function<java.lang.Throwable,? extends T> fn)
static <T> PgxFuture<T>	PgxFuture.exceptionallyCompletedFuture(java.lang.Throwable throwable)
PgxFuture<java.lang.Boolean>	PgxPreparedStatement.executeAsync() Executes the PGQL statement in this PreparedStatement object, which may be any kind of PGQL statement.
PgxFuture<PgqlResultSet>	PgxGraph.executePgqlAsync(java.lang.String pgqlString) Submits a PGQL (both select and modify) query.
PgxFuture<PgqlResultSet>	PgxSession.executePgqlAsync(java.lang.String pgqlString) Submits any query with a ON-clause.
PgxFuture<PgqlResultSet>	PgxPreparedStatement.executeQueryAsync() Executes the PGQL query in this PgxPreparedStatement object and returns the PgqlResultSet object generated by the query.
<S> PgxFuture<java.util.List<VertexProperty<ID,S>>>	VertexProperty.expandAsync() If this is a vector property, expands this property into a list of scalar properties of same type.
<S> PgxFuture<java.util.List<EdgeProperty<S>>>	EdgeProperty.expandAsync() If this is a vector property, expands this property into a list of scalar properties of same type.
<S> PgxFuture<java.util.List<VertexProperty<ID,S>>>	VertexProperty.expandAsync(java.lang.String namePrefix) If this is a vector property, expands this property into a list of scalar properties of same type.
<S> PgxFuture<java.util.List<EdgeProperty<S>>>	EdgeProperty.expandAsync(java.lang.String namePrefix) If this is a vector property, expands this property into a list of scalar properties of same type.
PgxFuture<Operation>	PgxGraph.explainPgqlAsync(java.lang.String pgqlString) Explain the execution plan of a pattern matching query.
PgxFuture<Operation>	PgxSession.explainPgqlAsync(java.lang.String pgqlString) Explain the execution plan of a pattern matching query.
<V extends java.lang.Comparable<V>> PgxFuture<java.lang.Void>	VertexSet.extractTopKFromMapAsync(PgxMap<PgxVertex<ID>,V> map, int k) Extracts the top k keys from the given map and puts them into this collection.
<ID> PgxFuture<AllPaths<ID>>	Analyst.fattestPathAsync(PgxGraph graph, PgxVertex<ID> root, EdgeProperty<java.lang.Double> capacity) Fattest path is a fast algorithm for finding a shortest path adding constraints for flowing related matters
<ID> PgxFuture<AllPaths<ID>>	Analyst.fattestPathAsync(PgxGraph graph, PgxVertex<ID> root, EdgeProperty<java.lang.Double> capacity, VertexProperty<ID,java.lang.Double> distance, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Fattest path is a fast algorithm for finding a shortest path adding constraints for flowing related matters
PgxFuture<java.lang.Void>	Property.fillAsync(V value) Fill this property with a given value.
PgxFuture<PgxGraph>	PgxGraph.filterAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, GraphFilter graphFilter, java.lang.String newGraphName) Create a subgraph of this graph.
PgxFuture<PgxGraph>	PgxGraph.filterAsync(GraphFilter graphFilter) Create a subgraph of this graph.
PgxFuture<PgxGraph>	PgxGraph.filterAsync(GraphFilter graphFilter, java.lang.String newGraphName) Create a subgraph of this graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, int maxDepth) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf, int maxDepth) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf, int maxDepth, VertexProperty<ID,java.lang.Integer> distance, VertexProperty<ID,PgxVertex<ID>> parent) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf, VertexProperty<ID,java.lang.Integer> distance, VertexProperty<ID,PgxVertex<ID>> parent) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredBfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, int maxDepth) A Breadth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, int maxDepth) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf, int maxDepth) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf, int maxDepth, VertexProperty<ID,java.lang.Integer> distance, VertexProperty<ID,PgxVertex<ID>> parent) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, boolean initWithInf, VertexProperty<ID,java.lang.Integer> distance, VertexProperty<ID,PgxVertex<ID>> parent) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Integer>,VertexProperty<ID,PgxVertex<ID>>>>	Analyst.filteredDfsAsync(PgxGraph graph, PgxVertex<ID> root, VertexFilter navigator, int maxDepth) A Depth-First Search implementation with an option to filter edges during the traversal of the graph.
<ID> PgxFuture<PgxPath<ID>>	Analyst.findCycleAsync(PgxGraph graph) Find cycle looks for any loop in the graph.
<ID> PgxFuture<PgxPath<ID>>	Analyst.findCycleAsync(PgxGraph graph, PgxVertex<ID> src) Find cycle looks for any loop in the graph.
<ID> PgxFuture<PgxPath<ID>>	Analyst.findCycleAsync(PgxGraph graph, PgxVertex<ID> src, VertexSequence<ID> nodeSeq, EdgeSequence edgeSeq) Find cycle looks for any loop in the graph.
<ID> PgxFuture<PgxPath<ID>>	Analyst.findCycleAsync(PgxGraph graph, VertexSequence<ID> nodeSeq, EdgeSequence edgeSeq) Find cycle looks for any loop in the graph.
PgxFuture<oracle.pgx.common.pojo.admin.CacheStatistics>	ServerInstance.freeCachedMemoryAsync() Trigger memory cleanup to free unused graphs if RELEASE_MEMORY_THRESHOLD is reached
PgxFuture<oracle.pgx.common.pojo.admin.CacheStatistics>	ServerInstance.freeCachedMemoryAsync(double threshold) Trigger memory cleanup to free unused graphs if threshold is reached.
PgxFuture<V>	Scalar.getAsync()
PgxFuture<V>	Property.getAsync(ID id) Gets the property value.
PgxFuture<V>	Property.getAsync(K key) Gets the property value.
PgxFuture<V>	PgxMap.getAsync(K key) Gets the value of a key.
PgxFuture<java.util.Set<java.lang.String>>	PgxSession.getAvailableCompiledProgramIdsAsync() Gets the set of available compiled program IDs.
PgxFuture<java.util.Deque<GraphMetaData>>	PgxSession.getAvailableSnapshotsAsync(PgxGraph graph) Gets a list of the GraphMetaData information of available in-memory snapshots of graph.
PgxFuture<EntryIterable<ID,K,V>>	Property.getBottomKValuesAsync(int k) Gets the bottom k vertex/edge value pairs according to their value.
PgxFuture<java.util.Map<java.lang.String,PgxCollection<? extends PgxEntity<?>,?>>>	PgxGraph.getCollectionsAsync() Retrieves all currently allocated collections associated with the graph.
PgxFuture<CompiledProgram>	PgxSession.getCompiledProgramAsync(java.lang.String id) Gets a compiled program by ID.
PgxFuture<Control>	ServerInstance.getControl()
PgxFuture<oracle.pgx.api.internal.Core>	ServerInstance.getCore()
PgxFuture<java.lang.Long>	PgxVertex.getDegreeAsync() Returns the degree of this vertex by calling PgxVertex.getOutDegreeAsync().
<ID> PgxFuture<PgxVertex<ID>>	PgxEdge.getDestinationAsync() Gets the destination vertex.
PgxFuture<PgxEdge>	PgxGraph.getEdgeAsync(long id) Looks up a PgxEdge of this graph by ID.
PgxFuture<PgxEdge>	PgxGraph.getEdgeAsync(java.lang.String id) Looks up a PgxEdge of this graph by ID.
PgxFuture<EdgeLabel>	PgxGraph.getEdgeLabelAsync() Get the edge labels belonging to this graph.
PgxFuture<java.util.Set<EdgeProperty<?>>>	PgxGraph.getEdgePropertiesAsync() Get the set of edge properties belonging to this graph.
<V> PgxFuture<EdgeProperty<V>>	PgxGraph.getEdgePropertyAsync(Namespace namespace, java.lang.String name) Gets an edge property of this graph in the given namespace.
<V> PgxFuture<EdgeProperty<V>>	PgxGraph.getEdgePropertyAsync(java.lang.String name) Gets an edge property of this graph
PgxFuture<EdgeSet>	PgxGraph.getEdgesAsync() Creates a new edge set containing all edges.
<E> PgxFuture<EdgeSet>	PgxGraph.getEdgesAsync(EdgeFilter filter) Creates a new edge set containing edges according to the given filter expression.
PgxFuture<EdgeSet>	PgxGraph.getEdgesAsync(EdgeFilter filter, java.lang.String name) Creates a new edge set containing edges according to the given filter expression.
PgxFuture<VertexProperty<ID,java.lang.Double>>	MatrixFactorizationModel.getEstimatedRatingsAsync(PgxVertex<ID> estimateRatingsFor) Computes estimated ratings for a specific vertex.
PgxFuture<PgxGraph>	PgxSession.getGraphAsync(Namespace namespace, java.lang.String name) References a graph with name name within the given namespace: - if namespace is Namespace.PRIVATE, than the search occurs on already referenced snapshots of the graph with name name and the most recent snapshot is returned - if namespace is Namespace.PUBLIC, then the search occurs on published graphs and the most recent snapshot of the published graph with name name is returned - if namespace is null, then the PRIVATE namespace is searched first and, if no snapshot is found, the PUBLIC namespace is then searched, according to the shadowing rules
PgxFuture<PgxGraph>	PgxSession.getGraphAsync(java.lang.String name) References a graph with name name loaded inside PGX.
PgxFuture<oracle.pgx.common.pojo.admin.GraphInfo>	ServerInstance.getGraphInfoAsync(java.lang.String graphName) Deprecated. since 2.7.0, use ServerInstance.getServerStateAsync()
PgxFuture<oracle.pgx.common.pojo.admin.GraphInfo>	ServerInstance.getGraphInfoAsync(java.lang.String sessionId, java.lang.String graphName) Deprecated. since 2.7.0, use ServerInstance.getServerStateAsync()
PgxFuture<java.util.Collection<oracle.pgx.common.pojo.admin.GraphInfo>>	ServerInstance.getGraphInfosAsync() Deprecated.
PgxFuture<java.util.Map<java.lang.String,PgxGraph>>	PgxSession.getGraphsAsync() Deprecated. since 19.4.0; use PgxSession.getGraphsAsync(Namespace) instead
PgxFuture<java.util.List<java.lang.String>>	PgxSession.getGraphsAsync(Namespace namespace) Returns a collection of graph names accessible under the given namespace.
PgxFuture<java.lang.Long>	PgxVertex.getInDegreeAsync() Returns the inDegree of this vertex, i.e., the number of incoming edges of this vertex.
PgxFuture<java.util.Collection<PgxEdge>>	PgxVertex.getInEdgesAsync() Returns all incoming edges of this vertex.
PgxFuture<java.util.Collection<PgxVertex<ID>>>	PgxVertex.getInNeighborsAsync() Returns all incoming neighbors of this vertex, i.e., all vertices that have an edge to this vertex.
<ID> PgxFuture<VertexProperty<ID,java.lang.Boolean>>	BipartiteGraph.getIsLeftPropertyAsync() Gets the 'is Left' vertex property of the graph.
PgxFuture<java.lang.String>	PgxEdge.getLabelAsync() Gets the label.
PgxFuture<java.util.Set<java.lang.String>>	PgxVertex.getLabelsAsync() Gets the labels
PgxFuture<oracle.pgx.common.pojo.admin.MemoryInfo>	ServerInstance.getMemoryInfoAsync() Deprecated. since 2.7.0, use ServerInstance.getServerStateAsync()
PgxFuture<java.util.Collection<PgxVertex<ID>>>	PgxVertex.getNeighborsAsync(Direction direction, boolean removeDuplicates) Returns all neighbors of this vertex, i.e., all vertices that are connected to this vertex.
<V> PgxFuture<EdgeProperty<V>>	PgxGraph.getOrCreateEdgePropertyAsync(PropertyType type, java.lang.String name) Gets or creates an edge property
<V> PgxFuture<EdgeProperty<PgxVect<V>>>	PgxGraph.getOrCreateEdgeVectorPropertyAsync(PropertyType type, int dimension, java.lang.String name) Gets or creates an edge vector property
<V> PgxFuture<EdgeProperty<PgxVect<V>>>	PgxGraph.getOrCreateEdgeVertexPropertyAsync(PropertyType type, int dimension, java.lang.String name) Gets or creates an edge vector property
<ID,V> PgxFuture<VertexProperty<ID,V>>	PgxGraph.getOrCreateVertexPropertyAsync(PropertyType type, java.lang.String name) Gets or creates a vertex property
<ID,V> PgxFuture<VertexProperty<ID,PgxVect<V>>>	PgxGraph.getOrCreateVertexVectorPropertyAsync(PropertyType type, int dimension, java.lang.String name) Gets or creates a vertex vector property
PgxFuture<java.lang.Long>	PgxVertex.getOutDegreeAsync() Returns the outDegree of this vertex, i.e., the number of outgoing edges of this vertex.
PgxFuture<java.util.Collection<PgxEdge>>	PgxVertex.getOutEdgesAsync() Returns all outgoing edges of this vertex.
PgxFuture<java.util.Collection<PgxVertex<ID>>>	PgxVertex.getOutNeighborsAsync() Returns all outgoing neighbors of this vertex, i.e., all nodes this vertex has an edge to.
PgxFuture<PgxResourcePermission>	PgxGraph.getPermissionAsync() Get the permission that the current user has on the graph.
PgxFuture<PgqlResultSet>	PgxSession.getPgqlResultSetAsync(java.lang.String id) Gets a PGQL result set by ID.
PgxFuture<java.util.Map<PgxConfig.Field,java.lang.Object>>	ServerInstance.getPgxConfigAsync() Gets the PGX config.
PgxFuture<PgxConfig>	ServerInstance.getPgxConfigObjectAsync() Gets the PGX config.
PgxFuture<java.util.Set<PgxGenericPermission>>	ServerInstance.getPgxGenericPermissionsAsync() Get the static permissions of the current user i.e.
PgxFuture<java.lang.String>	ServerInstance.getPgxUsernameAsync() Get the name of the current user.
PgxFuture<java.util.Set<java.lang.String>>	ServerInstance.getPgxUserRolesAsync() Get the roles of the current user.
<V> PgxFuture<V>	PgxEntity.getPropertyAsync(java.lang.String propertyName) Gets the value of a property.
PgxFuture<PgxEdge>	PgxGraph.getRandomEdgeAsync() Picks a random edge in the graph.
<ID> PgxFuture<PgxVertex<ID>>	PgxGraph.getRandomVertexAsync() Picks a random vertex in the graph.
PgxFuture<java.util.List<oracle.pgx.config.PgxRedactionRuleConfig>>	PgxGraph.getRedactionRulesAsync(AuthorizationType type, java.lang.String name) Gets redaction rules for an AuthorizationType name.
PgxFuture<PgqlResultSet>	PgxPreparedStatement.getResultSetAsync() Retrieves the current result as a PgxFuture with the ResultSet object.
PgxFuture<com.fasterxml.jackson.databind.JsonNode>	ServerInstance.getServerStateAsync() Gets the server state info.
PgxFuture<PgxSession>	ServerInstance.getSessionAsync(SessionContext sessionContext) Gets a session by SessionContext.
PgxFuture<PgxSession>	ServerInstance.getSessionAsync(java.lang.String id) Gets a session by ID.
PgxFuture<oracle.pgx.common.pojo.admin.SessionInfo>	ServerInstance.getSessionInfoAsync(java.lang.String sessionId) Deprecated. since 2.7.0, use ServerInstance.getServerStateAsync()
PgxFuture<java.util.Collection<oracle.pgx.common.pojo.admin.SessionInfo>>	ServerInstance.getSessionInfosAsync() Deprecated. since 2.7.0, use ServerInstance.getServerStateAsync()
<ID> PgxFuture<PgxVertex<ID>>	PgxEdge.getSourceAsync() Gets the source vertex.
PgxFuture<oracle.pgx.common.pojo.admin.PoolInfo>	ServerInstance.getThreadPoolInfoAsync(PoolType type) Deprecated. since 2.7.0, use ServerInstance.getServerStateAsync()
PgxFuture<EntryIterable<ID,K,V>>	Property.getTopKValuesAsync(int k) Gets the top k vertex/edge value pairs according to their value.
PgxFuture<EntryIterable<ID,K,V>>	Property.getValuesAsync() Gets the values.
PgxFuture<oracle.pgx.common.VersionInfo>	ServerInstance.getVersionAsync() Gets the PGX extended version of this instance.
<ID> PgxFuture<PgxVertex<ID>>	PgxGraph.getVertexAsync(ID id) Looks up a PgxVertex of this graph by ID.
<ID> PgxFuture<VertexLabels<ID>>	PgxGraph.getVertexLabelsAsync() Get the vertex labels belonging to this graph.
PgxFuture<java.util.Set<VertexProperty<?,?>>>	PgxGraph.getVertexPropertiesAsync() Get the set of vertex properties belonging to this graph.
<ID,V> PgxFuture<VertexProperty<ID,V>>	PgxGraph.getVertexPropertyAsync(Namespace namespace, java.lang.String name) Gets a vertex property of this graph in the given namespace.
<ID,V> PgxFuture<VertexProperty<ID,V>>	PgxGraph.getVertexPropertyAsync(java.lang.String name) Gets a vertex property of this graph.
<E> PgxFuture<VertexSet<E>>	PgxGraph.getVerticesAsync() Creates a new vertex set containing all vertices.
<ID> PgxFuture<Pair<PgxVertex<ID>,PgxVertex<ID>>>	PgxEdge.getVerticesAsync() Gets both vertices of this edge as a pair.
<E> PgxFuture<VertexSet<E>>	PgxGraph.getVerticesAsync(VertexFilter filter) Creates a new vertex set containing vertices according to the given filter expression.
<E> PgxFuture<VertexSet<E>>	PgxGraph.getVerticesAsync(VertexFilter filter, java.lang.String name) Creates a new vertex set containing vertices according to the given filter expression.
PgxFuture<java.lang.Void>	PgxGraph.grantPermissionAsync(PgxRole role, PgxResourcePermission permission) Grants a permission on this graph to the given role.
PgxFuture<java.lang.Void>	PgxGraph.grantPermissionAsync(PgxUser user, PgxResourcePermission permission) Grants a permission on this graph to the given user.
<U> PgxFuture<U>	PgxFuture.handle(java.util.function.BiFunction<? super T,java.lang.Throwable,? extends U> fn)
PgxFuture<java.lang.Boolean>	PgxGraph.hasEdgeAsync(long id) Looks up whether the graph has an Edge with the given ID
PgxFuture<java.lang.Boolean>	PgxGraph.hasEdgeAsync(java.lang.String id) Looks up whether the graph has an Edge with the given ID
PgxFuture<java.lang.Boolean>	PgxGraph.hasEdgeLabelAsync()
<ID> PgxFuture<java.lang.Boolean>	PgxGraph.hasVertexAsync(ID id) Looks up whether the graph has a Vertex with the given ID
PgxFuture<java.lang.Boolean>	PgxGraph.hasVertexLabelsAsync()
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Double>,VertexProperty<ID,java.lang.Double>>>	Analyst.hitsAsync(PgxGraph graph) HITS assigns ranking scores to the vertices, aimed to assess the quality of information and references in linked structures
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Double>,VertexProperty<ID,java.lang.Double>>>	Analyst.hitsAsync(PgxGraph graph, int max) HITS assigns ranking scores to the vertices, aimed to assess the quality of information and references in linked structures
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Double>,VertexProperty<ID,java.lang.Double>>>	Analyst.hitsAsync(PgxGraph graph, int max, VertexProperty<ID,java.lang.Double> auth, VertexProperty<ID,java.lang.Double> hubs) HITS assigns ranking scores to the vertices, aimed to assess the quality of information and references in linked structures
<ID> PgxFuture<Pair<VertexProperty<ID,java.lang.Double>,VertexProperty<ID,java.lang.Double>>>	Analyst.hitsAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> auth, VertexProperty<ID,java.lang.Double> hubs) HITS assigns ranking scores to the vertices, aimed to assess the quality of information and references in linked structures
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.inDegreeCentralityAsync(PgxGraph graph) In-degree centrality measures the centrality of the vertices based on its degree, letting you see how a vertex influences its neighborhood
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.inDegreeCentralityAsync(PgxGraph graph, java.lang.String propertyName)
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.inDegreeCentralityAsync(PgxGraph graph, VertexProperty<ID,java.lang.Integer> dc) In-degree centrality measures the centrality of the vertices based on its degree, letting you see how a vertex influences its neighborhood
PgxFuture<PgxMap<java.lang.Integer,java.lang.Long>>	Analyst.inDegreeDistributionAsync(PgxGraph graph) In-degree distribution gives information about the incoming flows in a graph
PgxFuture<PgxMap<java.lang.Integer,java.lang.Long>>	Analyst.inDegreeDistributionAsync(PgxGraph graph, PgxMap<java.lang.Integer,java.lang.Long> distribution) In-degree distribution gives information about the incoming flows in a graph
<ID> PgxFuture<java.lang.Boolean>	PgxGraph.isBipartiteGraphAsync(VertexProperty<ID,java.lang.Boolean> isLeft) Checks whether a given graph is a bipartite graph.
PgxFuture<java.lang.Boolean>	ServerInstance.isEngineReadyAsync() Check if the engine is ready to accept new requests
PgxFuture<java.lang.Boolean>	ServerInstance.isEngineRunningAsync() Check if the engine is currently up
PgxFuture<java.lang.Boolean>	PgxGraph.isFreshAsync() Check whether an in-memory representation of a graph is fresh.
PgxFuture<java.lang.Boolean>	ServerInstance.isGraphPreloadingDoneAsync() Check if the preloading of the graphs has completed
PgxFuture<java.lang.Boolean>	ComponentCollection.isMutableAsync()
PgxFuture<java.lang.Boolean>	PgxCollection.isMutableAsync() Checks whether an existing collection is mutable
PgxFuture<java.lang.Boolean>	PgxGraph.isPinnedAsync() For a published graph, indicates if the graph is pinned.
PgxFuture<java.lang.Boolean>	PgxGraph.isPublishedAsync() Checks if this graph is published.
PgxFuture<java.lang.Boolean>	Property.isPublishedAsync() Checks if this property is published.
PgxFuture<java.lang.Boolean>	PgxGraph.isPublishedWithSnapshotsAsync() Checks if this graph is published with snapshots.
PgxFuture<java.util.Iterator<E>>	PgxCollection.iteratorAsync() Gets an Iterator over the collection.
<ID> PgxFuture<Pair<Scalar<java.lang.Long>,VertexProperty<ID,java.lang.Long>>>	Analyst.kcoreAsync(PgxGraph graph) k-core decomposes a graph into layers revealing subgraphs with particular properties
<ID> PgxFuture<Pair<Scalar<java.lang.Long>,VertexProperty<ID,java.lang.Long>>>	Analyst.kcoreAsync(PgxGraph graph, int minCore, int maxCore) k-core decomposes a graph into layers revealing subgraphs with particular properties
<ID> PgxFuture<Pair<Scalar<java.lang.Long>,VertexProperty<ID,java.lang.Long>>>	Analyst.kcoreAsync(PgxGraph graph, int minCore, int maxCore, Scalar<java.lang.Long> maxKCore, VertexProperty<ID,java.lang.Long> kcore) k-core decomposes a graph into layers revealing subgraphs with particular properties
<ID> PgxFuture<Pair<Scalar<java.lang.Long>,VertexProperty<ID,java.lang.Long>>>	Analyst.kcoreAsync(PgxGraph graph, Scalar<java.lang.Long> maxKCore, VertexProperty<ID,java.lang.Long> kcore) k-core decomposes a graph into layers revealing subgraphs with particular properties
PgxFuture<java.lang.Iterable<K>>	PgxMap.keysAsync()
PgxFuture<java.lang.Void>	ServerInstance.killSessionAsync(java.lang.String sessionId) Kill a session.
<ID> PgxFuture<Pair<VertexSequence<ID>,EdgeSequence>>	Analyst.limitedShortestPathHopDistAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int maxHops, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices, VertexProperty<ID,PgxVect<java.lang.Integer>> index) Computes the k-hop limited shortest path between two vertices.
<ID> PgxFuture<Pair<VertexSequence<ID>,EdgeSequence>>	Analyst.limitedShortestPathHopDistAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int maxHops, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices, VertexProperty<ID,PgxVect<java.lang.Integer>> index, VertexSequence<ID> pathVertices, EdgeSequence pathEdges) Computes the k-hop limited shortest path between two vertices.
<ID> PgxFuture<Pair<VertexSequence<ID>,EdgeSequence>>	Analyst.limitedShortestPathHopDistFilteredAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int maxHops, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices, VertexProperty<ID,PgxVect<java.lang.Integer>> index, EdgeFilter filter) Computes the k-hop limited shortest path between two vertices.
<ID> PgxFuture<Pair<VertexSequence<ID>,EdgeSequence>>	Analyst.limitedShortestPathHopDistFilteredAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, int maxHops, PgxMap<java.lang.Integer,PgxVertex<ID>> highDegreeVertexMapping, VertexSet<ID> highDegreeVertices, VertexProperty<ID,PgxVect<java.lang.Integer>> index, EdgeFilter filter, VertexSequence<ID> pathVertices, EdgeSequence pathEdges) Computes the k-hop limited shortest path between two vertices.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.localClusteringCoefficientAsync(PgxGraph graph) LCC gives information about potential clustering options in a graph
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.localClusteringCoefficientAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> lcc) LCC gives information about potential clustering options in a graph
<ID> PgxFuture<VertexProperty<ID,java.lang.Long>>	Analyst.louvainAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight) Louvain can detect communities in a large graph relatively fast.
<ID> PgxFuture<VertexProperty<ID,java.lang.Long>>	Analyst.louvainAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight, int maxIter) Louvain can detect communities in a large graph relatively fast.
<ID> PgxFuture<VertexProperty<ID,java.lang.Long>>	Analyst.louvainAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight, int maxIter, int nbrPass, double tol, VertexProperty<ID,java.lang.Long> community) Louvain can detect communities in a large graph relatively fast.
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weight) Matrix factorization can be used as a recommendation algorithm for bipartite graphs
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weight, double learningRate, double changePerStep, double lambda, int maxStep, int vectorLength) Matrix factorization can be used as a recommendation algorithm for bipartite graphs
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weight, double learningRate, double changePerStep, double lambda, int maxStep, int vectorLength, VertexProperty<ID,PgxVect<java.lang.Double>> features) Matrix factorization can be used as a recommendation algorithm for bipartite graphs
<ID> PgxFuture<MatrixFactorizationModel<ID>>	Analyst.matrixFactorizationGradientDescentAsync(BipartiteGraph graph, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,PgxVect<java.lang.Double>> features) Matrix factorization can be used as a recommendation algorithm for bipartite graphs
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.matrixFactorizationRecommendationsAsync(BipartiteGraph graph, PgxVertex<ID> user, int vectorLength, VertexProperty<ID,PgxVect<java.lang.Double>> feature, VertexProperty<ID,java.lang.Double> estimatedRating) Estimate rating can be used as a prediction algorithm for bipartite graphs
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.outDegreeCentralityAsync(PgxGraph graph) Out-degree centrality measures the centrality of the vertices based on its degree, letting you see how a vertex influences its neighborhood
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.outDegreeCentralityAsync(PgxGraph graph, java.lang.String propertyName)
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.outDegreeCentralityAsync(PgxGraph graph, VertexProperty<ID,java.lang.Integer> dc) Out-degree centrality measures the centrality of the vertices based on its degree, letting you see how a vertex influences its neighborhood
PgxFuture<PgxMap<java.lang.Integer,java.lang.Long>>	Analyst.outDegreeDistributionAsync(PgxGraph graph) Out-degree distribution gives information about the outgoing flows in a graph
PgxFuture<PgxMap<java.lang.Integer,java.lang.Long>>	Analyst.outDegreeDistributionAsync(PgxGraph graph, PgxMap<java.lang.Integer,java.lang.Long> distribution) Out-degree distribution gives information about the outgoing flows in a graph
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankApproximateAsync(PgxGraph graph) Faster, but less accurate than pagerank.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankApproximateAsync(PgxGraph graph, double e, double d, int max) Faster, but less accurate than pagerank.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankApproximateAsync(PgxGraph graph, double e, double d, int max, VertexProperty<ID,java.lang.Double> rank) Faster, but less accurate than pagerank.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankApproximateAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> rank) Faster, but less accurate than pagerank.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, boolean norm) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, boolean norm, VertexProperty<ID,java.lang.Double> rank) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, double e, double d, int max) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, double e, double d, int max, boolean norm) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, double e, double d, int max, boolean norm, VertexProperty<ID,java.lang.Double> rank) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, double e, double d, int max, VertexProperty<ID,java.lang.Double> rank) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.pagerankAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> rank) PageRank computes ranking scores based on the edges in a graph.
<ID> PgxFuture<Pair<Scalar<java.lang.Double>,Scalar<java.lang.Double>>>	Analyst.partitionConductanceAsync(PgxGraph graph, Partition<ID> partition) Partition conductance assesses the quality of many partitions in a graph
<ID> PgxFuture<Pair<Scalar<java.lang.Double>,Scalar<java.lang.Double>>>	Analyst.partitionConductanceAsync(PgxGraph graph, Partition<ID> partition, Scalar<java.lang.Double> avgConductance, Scalar<java.lang.Double> minConductance) Partition conductance assesses the quality of many partitions in a graph
<ID> PgxFuture<Scalar<java.lang.Double>>	Analyst.partitionModularityAsync(PgxGraph graph, Partition<ID> partition) Modularity summarizes information about the quality of components in a graph
<ID> PgxFuture<Scalar<java.lang.Double>>	Analyst.partitionModularityAsync(PgxGraph graph, Partition<ID> partition, Scalar<java.lang.Double> modularity) Modularity summarizes information about the quality of components in a graph
<ID> PgxFuture<Scalar<java.lang.Double>>	Analyst.partitionModularityAsync(PgxGraph graph, Partition<ID> partition, java.lang.String modularityName)
<ID> PgxFuture<VertexSet<ID>>	Analyst.peripheryAsync(PgxGraph graph) Periphery/center gives an overview of the extreme distances and the corresponding vertices in a graph
<ID> PgxFuture<VertexSet<ID>>	Analyst.peripheryAsync(PgxGraph graph, VertexSet<ID> periphery) Periphery/center gives an overview of the extreme distances and the corresponding vertices in a graph
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, boolean norm) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, boolean norm, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, boolean norm) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, boolean norm, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, boolean norm) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, boolean norm, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, boolean norm) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, boolean norm, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, VertexProperty<ID,java.lang.Double> rank) Personalized PageRank for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, PgxVertex<ID> v) Personalized salsa for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, PgxVertex<ID> v, double d, int maxIter, double maxDiff) Personalized salsa for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, PgxVertex<ID> v, double d, int maxIter, double maxDiff, VertexProperty<ID,java.lang.Double> salsaRank) Personalized salsa for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, PgxVertex<ID> v, VertexProperty<ID,java.lang.Double> salsaRank) Personalized salsa for a vertex of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, VertexSet<ID> vertices) Personalized salsa for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, VertexSet<ID> vertices, double d, int maxIter, double maxDiff) Personalized salsa for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, VertexSet<ID> vertices, double d, int maxIter, double maxDiff, VertexProperty<ID,java.lang.Double> salsaRank) Personalized salsa for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedSalsaAsync(BipartiteGraph graph, VertexSet<ID> vertices, VertexProperty<ID,java.lang.Double> salsaRank) Personalized salsa for a set of vertices of interest.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, boolean norm, EdgeProperty<java.lang.Double> weight) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, boolean norm, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, boolean norm, EdgeProperty<java.lang.Double> weight) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, boolean norm, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, EdgeProperty<java.lang.Double> weight) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, double e, double d, int max, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, EdgeProperty<java.lang.Double> weight) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, PgxVertex<ID> v, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized weighted pagerank for a vertex and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, boolean norm, EdgeProperty<java.lang.Double> weight) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, boolean norm, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, boolean norm, EdgeProperty<java.lang.Double> weight) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, boolean norm, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, EdgeProperty<java.lang.Double> weight) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, double e, double d, int max, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, EdgeProperty<java.lang.Double> weight) Personalized pagerank for a set of vertices and weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.personalizedWeightedPagerankAsync(PgxGraph graph, VertexSet<ID> vertices, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) Personalized pagerank for a set of vertices and weighted edges.
PgxFuture<java.lang.Void>	PgxGraph.pinAsync() For a published graph, pins the graph so that it stays published even if no sessions uses it.
PgxFuture<PgxPreparedStatement>	PgxGraph.preparePgqlAsync(java.lang.String pgqlString) Prepares a PGQL query.
PgxFuture<PgxPreparedStatement>	PgxSession.preparePgqlAsync(java.lang.String pgqlString) Prepares a pattern matching query with a ON-clause.
PgxFuture<EdgeProperty<java.lang.Boolean>>	Analyst.primAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight) prim reveals tree structures with shortest paths in a graph
PgxFuture<EdgeProperty<java.lang.Boolean>>	Analyst.primAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight, EdgeProperty<java.lang.Boolean> mst) prim reveals tree structures with shortest paths in a graph
PgxFuture<java.lang.Void>	PgxGraph.publishAsync() Publishes the graph so it can be shared between sessions.
PgxFuture<java.lang.Void>	Property.publishAsync() Publishes the property into a shared graph so It can be shared between sessions.
PgxFuture<java.lang.Void>	PgxGraph.publishAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps) Publishes the graph so It can be shared between sessions.
PgxFuture<java.lang.Void>	PgxGraph.publishWithSnapshotsAsync() Publishes the graph and all its snapshots so they can be shared between sessions.
PgxFuture<java.lang.Void>	PgxGraph.publishWithSnapshotsAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps) Publishes the graph and all its snapshots so they can be shared between sessions.
PgxFuture<java.lang.Void>	PgxMap.putAsync(K key, V value) Sets the value for a key in the map specified by the given name.
PgxFuture<PgqlResultSet>	PgxGraph.queryPgqlAsync(java.lang.String pgqlString) Submits a pattern matching select only query.
PgxFuture<PgqlResultSet>	PgxSession.queryPgqlAsync(java.lang.String pgqlString) Submits a pattern matching query with a ON-clause.
<ID> PgxFuture<Pair<Scalar<java.lang.Integer>,VertexProperty<ID,java.lang.Integer>>>	Analyst.radiusAsync(PgxGraph graph) Diameter/radius gives an overview of the distances in a graph
<ID> PgxFuture<Pair<Scalar<java.lang.Integer>,VertexProperty<ID,java.lang.Integer>>>	Analyst.radiusAsync(PgxGraph graph, Scalar<java.lang.Integer> radius, VertexProperty<ID,java.lang.Integer> eccentricity) Diameter/radius gives an overview of the distances in a graph
<ID> PgxFuture<PgxMap<PgxVertex<ID>,java.lang.Integer>>	Analyst.randomWalkWithRestartAsync(PgxGraph graph, PgxVertex<ID> source, int length, double resetProb, PgxMap<PgxVertex<ID>,java.lang.Integer> visitCount) random walk with restart does the what its name says, it can find approximate stationary distributions
<ID> PgxFuture<java.lang.Integer>	Analyst.reachabilityAsync(PgxGraph graph, PgxVertex<ID> source, PgxVertex<ID> dest, int maxHops, boolean ignoreEdgeDirection) Reachability is a fast way to check if two vertices are reachable from each other.
PgxFuture<PgxGraph>	PgxSession.readGraphAsOfAsync(GraphConfig config, GraphMetaData metaData) Reads a graph and its properties of a specific version (metaData) into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphAsOfAsync(GraphConfig config, GraphMetaData metaData, java.lang.String newGraphName) Reads a graph and its properties of a specific version (metaData) into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphAsOfAsync(GraphConfig config, long creationTimestamp) Reads a graph and its properties of a specific version (creationTimestamp) into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphAsOfAsync(GraphConfig config, long creationTimestamp, java.lang.String newGraphName) Reads a graph and its properties of a specific version (creationTimestamp) into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphByNameAsync(java.lang.String name, GraphSource source) Reads a graph identified by the given name into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphByNameAsync(java.lang.String name, GraphSource source, ReadGraphOption... options) Reads a graph identified by the given name into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphFileAsync(java.lang.String path) Loads the graph contained in the file at the given path.
PgxFuture<PgxGraph>	PgxSession.readGraphFileAsync(java.lang.String path, Format format) Loads the graph contained in the file at the given path.
PgxFuture<PgxGraph>	PgxSession.readGraphFileAsync(java.lang.String path, Format format, java.lang.String newGraphName) Loads the graph contained in the files at the given path.
PgxFuture<PgxGraph>	PgxSession.readGraphFileAsync(java.lang.String path, java.lang.String newGraphName) Loads the graph contained in the file at the given path.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> filePaths) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> filePaths, Format format) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> filePaths, Format format, java.lang.String newGraphName) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> vertexFilePaths, java.util.List<java.lang.String> edgeFilePaths) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> vertexFilePaths, java.util.List<java.lang.String> edgeFilePaths, Format format) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> vertexFilePaths, java.util.List<java.lang.String> edgeFilePaths, Format format, java.lang.String newGraphName) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> vertexFilePaths, java.util.List<java.lang.String> edgeFilePaths, java.lang.String newGraphName) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.util.List<java.lang.String> filePaths, java.lang.String newGraphName) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.lang.String vertexFilePath, java.lang.String edgeFilePath) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.lang.String vertexFilePath, java.lang.String edgeFilePath, Format format) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.lang.String vertexFilePath, java.lang.String edgeFilePath, Format format, java.lang.String newGraphName) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphFilesAsync(java.lang.String vertexFilePath, java.lang.String edgeFilePath, java.lang.String newGraphName) Loads the graph contained in the files at the given paths.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(GraphConfig config) Reads a graph and its properties, specified in the graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(GraphConfig config, boolean updateIfNotFresh) Reads a graph and its properties, specified in the graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(GraphConfig config, boolean updateIfNotFresh, java.lang.String newGraphName) Reads a graph and its properties, specified in the graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(GraphConfig config, long maxAge, java.util.concurrent.TimeUnit maxAgeTimeUnit) Reads a graph and its properties, specified in the graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(GraphConfig config, long maxAge, java.util.concurrent.TimeUnit maxAgeTimeUnit, boolean blockIfFull, java.lang.String newGraphName) Reads a graph and its properties, specified in the graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(GraphConfig config, java.lang.String newGraphName) Reads a graph and its properties, specified a graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(java.lang.String path) Reads a graph and its properties, specified by a path to a graph config, into memory.
PgxFuture<PgxGraph>	PgxSession.readGraphWithPropertiesAsync(java.lang.String path, java.lang.String newGraphName) Reads a graph and its properties, specified by a path to a graph config, into memory.
PgxFuture<java.lang.Void>	GraphEntityCollection.removeAllByIdAsync(java.util.Collection<ID> source) Removes vertices/edges from an existing vertex/edge collection using their associated IDs
PgxFuture<java.lang.Void>	ScalarCollection.removeAllElementsAsync(java.util.Collection<E> source)
abstract PgxFuture<java.lang.Void>	PgxCollection.removeAllElementsAsync(java.util.Collection<E> source) Removes elements from an existing collection.
PgxFuture<java.lang.Void>	GraphEntityCollection.removeAllElementsAsync(java.util.Collection<E> source)
PgxFuture<java.lang.Void>	ComponentCollection.removeAllElementsAsync(java.util.Collection<PgxVertex<ID>> source)
PgxFuture<java.lang.Boolean>	PgxMap.removeAsync(K key) Removes the entry specified by the given key from the map with the given name.
PgxFuture<java.lang.Void>	PgxGraph.removeRedactionRuleAsync(oracle.pgx.config.PgxRedactionRuleConfig ruleConfig, AuthorizationType type, java.lang.String... names) Removes a redaction rule for AuthorizationType names.
PgxFuture<java.lang.Void>	PgxGraph.renameAsync(java.lang.String newGraphName) Renames this graph.
PgxFuture<java.lang.Void>	Property.renameAsync(java.lang.String newPropertyName) Renames this property.
PgxFuture<java.lang.Void>	PgxGraph.revokePermissionAsync(PgxRole role) Revokes all permissions on this graph from the given role.
PgxFuture<java.lang.Void>	PgxGraph.revokePermissionAsync(PgxUser user) Revokes all permissions on this graph from the given user.
<T> PgxFuture<oracle.pgx.api.internal.AnalysisResult<T>>	CompiledProgram.runAsync(java.util.Collection<oracle.pgx.api.internal.characteristic.WorkloadCharacteristic> characteristics, java.lang.Object... args) Runs the compiled program with the given parameters.
<T> PgxFuture<oracle.pgx.api.internal.AnalysisResult<T>>	CompiledProgram.runAsync(java.lang.Object... args) Runs the compiled program with the given parameters.
<T> PgxFuture<oracle.pgx.api.internal.AnalysisResult<T>>	CompiledProgram.runAsync(oracle.pgx.api.internal.characteristic.WorkloadCharacteristicPreset characteristics, java.lang.Object... args) Runs the compiled program with the given parameters.
PgxFuture<java.util.List<?>>	PgxSession.runConcurrentlyAsync(java.util.List<java.util.function.Supplier<PgxFuture<?>>> asyncRequestsSuppliers) Submits lists of supplied functions to run concurrently in the server
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.salsaAsync(BipartiteGraph graph) SALSA computes ranking scores.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.salsaAsync(BipartiteGraph graph, double maxDiff, int maxIter) SALSA computes ranking scores.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.salsaAsync(BipartiteGraph graph, double maxDiff, int maxIter, VertexProperty<ID,java.lang.Double> salsaRank) SALSA computes ranking scores.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.salsaAsync(BipartiteGraph graph, VertexProperty<ID,java.lang.Double> salsaRank) SALSA computes ranking scores.
<ID> PgxFuture<Partition<ID>>	Analyst.sccKosarajuAsync(PgxGraph graph) Kosaraju finds strongly connected components in a graph
<ID> PgxFuture<Partition<ID>>	Analyst.sccKosarajuAsync(PgxGraph graph, VertexProperty<ID,java.lang.Long> partitionDistribution) Kosaraju finds strongly connected components in a graph
<ID> PgxFuture<Partition<ID>>	Analyst.sccTarjanAsync(PgxGraph graph) Tarjan finds strongly connected components in a graph
<ID> PgxFuture<Partition<ID>>	Analyst.sccTarjanAsync(PgxGraph graph, VertexProperty<ID,java.lang.Long> partitonDistribution) Tarjan finds strongly connected components in a graph
PgxFuture<java.lang.Void>	Property.setAsync(K key, V value) Sets a property value.
PgxFuture<java.lang.Void>	Scalar.setAsync(V value) Sets the scalar value.
<V> PgxFuture<java.lang.Void>	PgxEntity.setPropertyAsync(java.lang.String propertyName, V value) Sets the value of a property.
PgxFuture<java.lang.Void>	ServerInstance.setSessionMaxMemorySize(PgxSession session, int size, oracle.pgx.common.MemoryUnit unit) Set the maximum memory limit for the given session.
PgxFuture<java.lang.Void>	PgxSession.setSnapshotAsync(PgxGraph graph, GraphMetaData metaData) Sets a graph to a specific snapshot.
PgxFuture<java.lang.Void>	PgxSession.setSnapshotAsync(PgxGraph graph, GraphMetaData metaData, boolean forceDeleteTransientProperties) Sets a graph to a specific snapshot.
PgxFuture<java.lang.Void>	PgxSession.setSnapshotAsync(PgxGraph graph, long creationTimestamp) Sets a graph to a specific snapshot.
PgxFuture<java.lang.Void>	PgxSession.setSnapshotAsync(PgxGraph graph, long creationTimestamp, boolean forceDeleteTransientProperties) Sets a graph to a specific snapshot.
PgxFuture<java.lang.Void>	Property.setValuesAsync(java.util.Map<K,V> values) Sets multiple property values.
PgxFuture<java.lang.Void>	Property.setValuesAsync(java.util.Map<K,V> values, V defaultValue) Sets multiple property values.
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathBellmanFordAsync(PgxGraph graph, PgxVertex<ID> src, EdgeProperty<java.lang.Double> cost) Bellman-ford finds multiple shortest paths at the same time
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathBellmanFordAsync(PgxGraph graph, PgxVertex<ID> src, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,java.lang.Double> distance, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Bellman-ford finds multiple shortest paths at the same time
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathBellmanFordReverseAsync(PgxGraph graph, PgxVertex<ID> src, EdgeProperty<java.lang.Double> cost) Reversed bellman-ford finds multiple shortest paths at the same time
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathBellmanFordReverseAsync(PgxGraph graph, PgxVertex<ID> src, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,java.lang.Double> distance, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Reversed bellman-ford finds multiple shortest paths at the same time
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathDijkstraAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost) Dijkstra is a fast algorithm for finding a shortest path in a graph
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathDijkstraAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Dijkstra is a fast algorithm for finding a shortest path in a graph
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathDijkstraBidirectionalAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost) Bidirectional dijkstra is a fast algorithm for finding a shortest path in a graph
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathDijkstraBidirectionalAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, java.lang.String parentName, java.lang.String parentEdgeName)
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathDijkstraBidirectionalAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Bidirectional dijkstra is a fast algorithm for finding a shortest path in a graph
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathFilteredDijkstraAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, GraphFilter filterExpr) Filtered Dijkstra is a fast algorithm for finding a shortest path while also filtering edges
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathFilteredDijkstraAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, GraphFilter filterExpr, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Filtered Dijkstra is a fast algorithm for finding a shortest path while also filtering edges
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathFilteredDijkstraBidirectionalAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, GraphFilter filterExpr) Bidirectional dijkstra is a fast algorithm for finding a shortest path while also filtering edges
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathFilteredDijkstraBidirectionalAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, GraphFilter filterExpr, java.lang.String parentName, java.lang.String parentEdgeName)
<ID> PgxFuture<PgxPath<ID>>	Analyst.shortestPathFilteredDijkstraBidirectionalAsync(PgxGraph graph, PgxVertex<ID> src, PgxVertex<ID> dst, EdgeProperty<java.lang.Double> cost, GraphFilter filterExpr, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Bidirectional dijkstra is a fast algorithm for finding a shortest path while also filtering edges
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathHopDistAsync(PgxGraph graph, PgxVertex<ID> src) Hop distance can give a relatively fast insight on the distances in a graph
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathHopDistAsync(PgxGraph graph, PgxVertex<ID> src, VertexProperty<ID,java.lang.Double> distance, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Hop distance can give a relatively fast insight on the distances in a graph
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathHopDistReverseAsync(PgxGraph graph, PgxVertex<ID> src) Backwards hop distance can give a relatively fast insight on the distances in a graph
<ID> PgxFuture<AllPaths<ID>>	Analyst.shortestPathHopDistReverseAsync(PgxGraph graph, PgxVertex<ID> src, VertexProperty<ID,java.lang.Double> distance, VertexProperty<ID,PgxVertex<ID>> parent, VertexProperty<ID,PgxEdge> parentEdge) Backwards hop distance can give a relatively fast insight on the distances in a graph
PgxFuture<java.lang.Boolean>	ServerInstance.shutdownEngineAsync(long timeout, java.util.concurrent.TimeUnit unit) Gracefully shuts down the engine and cleans up resources.
PgxFuture<java.lang.Void>	ServerInstance.shutdownEngineNowAsync() Forces the engine to stop and clean up resources.
PgxFuture<java.lang.Void>	ServerInstance.shutdownEngineNowIfRunningAsync() If the engine is currently up forces it to stop and clean up resources.
PgxFuture<PgxGraph>	PgxGraph.simplifyAsync() Convenience method around PgxGraph.simplifyAsync(String) passing null as getId()
PgxFuture<PgxGraph>	PgxGraph.simplifyAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, PgxGraph.MultiEdges multiEdges, PgxGraph.SelfEdges selfEdges, PgxGraph.TrivialVertices trivialVertices, PgxGraph.Mode mode, java.lang.String newGraphName) Create a simplified version of a graph.
PgxFuture<PgxGraph>	PgxGraph.simplifyAsync(oracle.pgx.common.mutations.MutationStrategy mutationStrategy)
PgxFuture<PgxGraph>	PgxGraph.simplifyAsync(PgxGraph.MultiEdges multiEdges, PgxGraph.SelfEdges selfEdges, PgxGraph.TrivialVertices trivialVertices, PgxGraph.Mode mode, java.lang.String newGraphName) Convenience method for PgxGraph.simplifyAsync(Collection, Collection, MultiEdges, SelfEdges, TrivialVertices, Mode, String) Passing Collection(vertexProperties) as VertexProperty.ALL Collection(edgeProperties) as EdgeProperty.ALL Create a simplified version of a graph.
PgxFuture<PgxGraph>	PgxGraph.simplifyAsync(java.lang.String newGraphName) Convenience method for PgxGraph.simplifyAsync(MultiEdges, SelfEdges, TrivialVertices, Mode, String) Passing StrategyType as StrategyType.REMOVE_MULTI_EDGES SelfEdges as SelfEdges.REMOVE_SELF_EDGES Trivial Vertices as TrivialVertices.REMOVE_TRIVIAL_VERTICES Mode as Mode.CREATE_COPY Create a simplified version of a graph.
PgxFuture<java.lang.Long>	Property.sizeAsync() Gets the size/length of this property.
PgxFuture<java.lang.Integer>	PgxCollection.sizeAsync() Gets the number of elements in this collection
PgxFuture<java.lang.Integer>	PgxMap.sizeAsync() Returns the size of the map
PgxFuture<PgxGraph>	PgxGraph.sortByDegreeAsync() Create a sorted version of a graph and all its properties.
PgxFuture<PgxGraph>	PgxGraph.sortByDegreeAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, PgxGraph.SortOrder sortOrder, PgxGraph.Degree degree, PgxGraph.Mode mode, java.lang.String newGraphName) Create a sorted version of a graph and all its properties.
PgxFuture<PgxGraph>	PgxGraph.sortByDegreeAsync(PgxGraph.SortOrder sortOrder, PgxGraph.Degree degree, PgxGraph.Mode mode, java.lang.String newGraphName) Create a sorted version of a graph and all its properties.
PgxFuture<PgxGraph>	PgxGraph.sortByDegreeAsync(java.lang.String newGraphName) Create a sorted version of a graph and all its properties.
PgxFuture<PgxGraph>	PgxGraph.sparsifyAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, double e, java.lang.String newGraphName) Sparsifies the given graph and returns a new graph with less edges.
PgxFuture<PgxGraph>	PgxGraph.sparsifyAsync(double e) Sparsifies the given graph and returns a new graph with less edges. Convenience method around PgxGraph.sparsify(double, String) Passing newGraphName as null
PgxFuture<PgxGraph>	PgxGraph.sparsifyAsync(double e, java.lang.String newGraphName) Sparsifies the given graph and returns a new graph with less edges. Convenience method around PgxGraph.sparsify(Collection, Collection, double, String) Passing vertexProps as VertexProperty.ALL edgeProps as EdgeProperty.ALL
<ID> PgxFuture<VertexProperty<ID,java.lang.String>>	Analyst.speakerListenerLabelPropagationAsync(PgxGraph graph, java.lang.String labelsPropName) Speaker listener label propagation can find overlaping and multiple communities in a graph relatively fast.
<ID> PgxFuture<VertexProperty<ID,java.lang.String>>	Analyst.speakerListenerLabelPropagationAsync(PgxGraph graph, java.lang.String labelsPropName, int maxIter, double threshold, java.lang.String delimiter) Speaker listener label propagation can find overlaping and multiple communities in a graph relatively fast.
<ID> PgxFuture<VertexProperty<ID,java.lang.String>>	Analyst.speakerListenerLabelPropagationAsync(PgxGraph graph, VertexProperty<ID,java.lang.String> labels, int maxIter, double threshold, java.lang.String delimiter) Speaker listener label propagation can find overlaping and multiple communities in a graph relatively fast.
PgxFuture<java.lang.Void>	ServerInstance.startEngineAsync() Starts the PGX engine.
PgxFuture<java.lang.Void>	ServerInstance.startEngineAsync(java.io.InputStream config) Starts the PGX engine with a custom configuration.
PgxFuture<java.lang.Void>	ServerInstance.startEngineAsync(java.util.Map<PgxConfig.Field,java.lang.Object> config) Starts the PGX engine with a custom configuration.
PgxFuture<java.lang.Void>	ServerInstance.startEngineAsync(PgxConfig config) Starts the PGX engine with a custom configuration.
PgxFuture<java.lang.Void>	ServerInstance.startEngineAsync(java.lang.String path) Starts the PGX engine with a custom configuration given as path.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, FileGraphStoringConfig storingConfig) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, FileGraphStoringConfig storingConfig, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, FileGraphStoringConfig storingConfig, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, java.lang.String targetPath) Stores this graph in a given file format on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, java.lang.String targetPath, boolean overwrite) Stores this graph in a given file format on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, java.lang.String targetPath, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, java.lang.String targetBasePath, int numPartitions) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, java.lang.String targetBasePath, int numPartitions, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<FileGraphConfig>	PgxGraph.storeAsync(Format targetFormat, java.lang.String targetBasePath, int numPartitions, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<GraphConfig>	PgxGraph.storeAsync(GraphConfig targetConfig, boolean overwrite) Stores this graph in a file or database.
PgxFuture<GraphConfig>	PgxGraph.storeAsync(GraphConfig targetConfig, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, boolean overwrite) Stores this graph in a file or database.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.util.Map<java.lang.String,FileGraphStoringConfig> vertexStoringConfigs, java.util.Map<java.lang.String,FileGraphStoringConfig> edgeStoringConfigs) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.util.Map<java.lang.String,FileGraphStoringConfig> vertexStoringConfigs, java.util.Map<java.lang.String,FileGraphStoringConfig> edgeStoringConfigs, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.util.Map<java.lang.String,FileGraphStoringConfig> vertexStoringConfigs, java.util.Map<java.lang.String,FileGraphStoringConfig> edgeStoringConfigs, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, java.util.Map<java.lang.String,FileGraphStoringConfig> vertexStoringConfigs, java.util.Map<java.lang.String,FileGraphStoringConfig> edgeStoringConfigs, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, java.util.Map<java.lang.String,FileGraphStoringConfig> vertexStoringConfigs, java.util.Map<java.lang.String,FileGraphStoringConfig> edgeStoringConfigs, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath) Stores this graph in a given file format on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, boolean overwrite) Stores this graph in a given file format on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, int numPartitions) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, int numPartitions, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, int numPartitions, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, int numPartitions, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, int numPartitions, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, int numPartitions, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format in multiple partitions on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore) Stores this graph in a given file format on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, boolean overwrite) Stores this graph in a given file format on a file system.
PgxFuture<PartitionedGraphConfig>	PgxGraph.storeAsync(ProviderFormat targetFormat, java.lang.String targetBasePath, java.util.Set<java.lang.String> vertexProvidersToStore, java.util.Set<java.lang.String> edgeProvidersToStore, java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, boolean overwrite) Stores this graph in a given file format on a file system.
PgxFuture<java.lang.Void>	PgxFuture.thenAccept(java.util.function.Consumer<? super T> block)
<U> PgxFuture<U>	PgxFuture.thenApply(java.util.function.Function<? super T,? extends U> function)
<U> PgxFuture<U>	PgxFuture.thenApplyAsync(java.util.function.Function<? super T,? extends U> function, java.util.concurrent.Executor executor)
<U,V> PgxFuture<V>	PgxFuture.thenCombine(java.util.concurrent.CompletableFuture<? extends U> other, java.util.function.BiFunction<? super T,? super U,? extends V> function)
PgxFuture<T>	PgxFuture.thenComplete(PgxFuture<T> promise) completes the given promise whenever this completes.
PgxFuture<T>	PgxFuture.thenComplete(PgxFuture<T> promise, java.lang.Runnable cleanup) completes the given promise whenever this completes.
<U> PgxFuture<U>	PgxFuture.thenCompose(java.util.function.Function<? super T,? extends java.util.concurrent.CompletionStage<U>> function)
<U> PgxFuture<U>	PgxFuture.thenReturn(U result) A future that discards its result and returns the given parameter on completion.
default PgxFuture<PgxFrame>	PgqlResultSet.toFrameAsync() Copies the content of this result set into a new PgxFrame.
PgxFuture<PgxCollection<E,ID>>	PgxCollection.toMutableAsync() Create a mutable copy of an existing collection
PgxFuture<PgxCollection<PgxVertex<ID>,ID>>	ComponentCollection.toMutableAsync(java.lang.String newName)
PgxFuture<PgxCollection<E,ID>>	PgxCollection.toMutableAsync(java.lang.String newName) Create a mutable copy of an existing collection
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.topologicalScheduleAsync(PgxGraph graph, VertexSet<ID> source) Topological schedule gives an order of visit for the reachable vertices from the source
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.topologicalScheduleAsync(PgxGraph graph, VertexSet<ID> source, VertexProperty<ID,java.lang.Integer> topoSched) Topological schedule gives an order of visit for the reachable vertices from the source
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.topologicalSortAsync(PgxGraph graph) Topological sort gives an order of visit for vertices in directed acyclic graphs
<ID> PgxFuture<VertexProperty<ID,java.lang.Integer>>	Analyst.topologicalSortAsync(PgxGraph graph, VertexProperty<ID,java.lang.Integer> topoSort) Topological sort gives an order of visit for vertices in directed acyclic graphs
PgxFuture<PgxGraph>	PgxGraph.transposeAsync() Convenience method around PgxGraph.transposeAsync(String) passing null as getId()
PgxFuture<PgxGraph>	PgxGraph.transposeAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, java.util.Map<java.lang.String,java.lang.String> edgeLabelMapping, PgxGraph.Mode mode, java.lang.String newGraphName) Creates a transpose of this graph.
PgxFuture<PgxGraph>	PgxGraph.transposeAsync(PgxGraph.Mode mode) Convenience method around PgxGraph.transposeAsync(Mode, String) passing null as getId()
PgxFuture<PgxGraph>	PgxGraph.transposeAsync(PgxGraph.Mode mode, java.lang.String newGraphName) Convenience method around PgxGraph.transposeAsync(Collection, Collection, Map, Mode, String) Passing Collection(vertexProps) as VertexProperty.ALL Collection(edgeProps) as EdgeProperty.ALL*
PgxFuture<PgxGraph>	PgxGraph.transposeAsync(java.lang.String newGraphName) Convenience method around PgxGraph.transposeAsync(Mode, String) Passing Mode as Mode.CREATE_COPY
PgxFuture<PgxGraph>	PgxGraph.undirectAsync() Convenience method around PgxGraph.undirectAsync(String) passing null as getId()
PgxFuture<PgxGraph>	PgxGraph.undirectAsync(java.util.Collection<VertexProperty<?,?>> vertexProps, java.util.Collection<EdgeProperty<?>> edgeProps, PgxGraph.MultiEdges multiEdges, PgxGraph.SelfEdges selfEdges, PgxGraph.Mode mode, java.lang.String newGraphName) Convenience method to create for PgxGraph.undirectAsync(MutationStrategy).
PgxFuture<PgxGraph>	PgxGraph.undirectAsync(oracle.pgx.common.mutations.MutationStrategy mutationStrategy) Create an undirected version of a graph.
PgxFuture<PgxGraph>	PgxGraph.undirectAsync(PgxGraph.MultiEdges multiEdges, PgxGraph.SelfEdges selfEdges, PgxGraph.Mode mode, java.lang.String newGraphName) Convenience method for PgxGraph.undirectAsync(Collection, Collection, MultiEdges, SelfEdges, Mode, String) Passing Collection(vertexProps) as VertexProperty.ALL and Collection(edgeProps) as EdgeProperty.ALL
PgxFuture<PgxGraph>	PgxGraph.undirectAsync(java.lang.String newGraphName) Convenience method around PgxGraph.undirectAsync(MultiEdges, SelfEdges, Mode, String) Passing StrategyType as StrategyType.KEEP_MULTI_EDGES SelfEdges as SelfEdges.KEEP_SELF_EDGES Trivial Vertices as TrivialVertices.KEEP_TRIVIALVERTICES Mode as Mode.CREATE_COPY
PgxFuture<java.lang.Void>	PgxGraph.unpinAsync() For a published graph, unpins the graph so that if no snapshot of the graph is used by any session or pinned, the graph and all its snapshots can be removed.
PgxFuture<java.lang.Void>	ServerInstance.unpinGraphAsync(java.lang.String graphName) Unpins the specified published graph so that if no session uses any of its snapshot, it can be removed.
PgxFuture<java.lang.Void>	ServerInstance.updatePgxConfigAsync(java.io.InputStream config) Replaces the current PGX config with the given configuration.
PgxFuture<java.lang.Void>	ServerInstance.updatePgxConfigAsync(java.util.Map<PgxConfig.Field,java.lang.Object> config) Replaces the current PGX config with the given configuration.
PgxFuture<java.lang.Void>	ServerInstance.updatePgxConfigAsync(PgxConfig config) Replaces the current PGX config with the given configuration.
PgxFuture<java.lang.Void>	ServerInstance.updatePgxConfigAsync(java.lang.String path) Replaces the current PGX config with the given configuration.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.vertexBetweennessCentralityAsync(PgxGraph graph) Betweenness centrality measures the centrality of the vertices to identify important vertices for the flow of information
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.vertexBetweennessCentralityAsync(PgxGraph graph, VertexProperty<ID,java.lang.Double> bc) Betweenness centrality measures the centrality of the vertices to identify important vertices for the flow of information
<ID> PgxFuture<Partition<ID>>	Analyst.wccAsync(PgxGraph graph) Identifying weakly connected components can be useful for clustering graph data
<ID> PgxFuture<Partition<ID>>	Analyst.wccAsync(PgxGraph graph, java.lang.String partitonDistributionName)
<ID> PgxFuture<Partition<ID>>	Analyst.wccAsync(PgxGraph graph, VertexProperty<ID,java.lang.Long> partitionDistribution) Identifying weakly connected components can be useful for clustering graph data
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, boolean norm, EdgeProperty<java.lang.Double> weight) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, boolean norm, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, double e, double d, int max, boolean norm, EdgeProperty<java.lang.Double> weight) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, double e, double d, int max, boolean norm, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, double e, double d, int max, EdgeProperty<java.lang.Double> weight) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, double e, double d, int max, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight) PageRank on weighted edges.
<ID> PgxFuture<VertexProperty<ID,java.lang.Double>>	Analyst.weightedPagerankAsync(PgxGraph graph, EdgeProperty<java.lang.Double> weight, VertexProperty<ID,java.lang.Double> rank) PageRank on weighted edges.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, int topK) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, int topK, int sizeCircleOfTrust) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, int topK, int sizeCircleOfTrust, int maxIter, double tol, double dampingFactor, int salsaMaxIter, double salsaTol) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, int topK, int sizeCircleOfTrust, int maxIter, double tol, double dampingFactor, int salsaMaxIter, double salsaTol, VertexSequence<ID> hubs, VertexSequence<ID> authorities) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, int topK, int sizeCircleOfTrust, VertexSequence<ID> hubs, VertexSequence<ID> authorities) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, int topK, VertexSequence<ID> hubs, VertexSequence<ID> authorities) WTF is a recommendation algorithm.
<ID> PgxFuture<Pair<VertexSequence<ID>,VertexSequence<ID>>>	Analyst.whomToFollowAsync(PgxGraph graph, PgxVertex<ID> vertex, VertexSequence<ID> hubs, VertexSequence<ID> authorities) WTF is a recommendation algorithm.

Methods in oracle.pgx.api with parameters of type PgxFuture

Modifier and Type	Method and Description
PgxFuture<T>	PgxFuture.cancelOn(PgxFuture promise) If given promise completes exceptionally because it was canceled, CompletableFuture.cancel(boolean) gets called on this promise as well.
PgxFuture<T>	PgxFuture.thenComplete(PgxFuture<T> promise) completes the given promise whenever this completes.
PgxFuture<T>	PgxFuture.thenComplete(PgxFuture<T> promise, java.lang.Runnable cleanup) completes the given promise whenever this completes.

Method parameters in oracle.pgx.api with type arguments of type PgxFuture

Modifier and Type	Method and Description
static <T> PgxFuture<java.lang.Void>	PgxFuture.allOf(java.util.List<PgxFuture<T>> promises)
java.util.List<?>	PgxSession.runConcurrently(java.util.List<java.util.function.Supplier<PgxFuture<?>>> asyncRequest) Blocking version of #runConcurrentlyAsync(List<Supplier>).
PgxFuture<java.util.List<?>>	PgxSession.runConcurrentlyAsync(java.util.List<java.util.function.Supplier<PgxFuture<?>>> asyncRequestsSuppliers) Submits lists of supplied functions to run concurrently in the server

Uses of PgxFuture in oracle.pgx.api.admin

Methods in oracle.pgx.api.admin that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<oracle.pgx.common.pojo.admin.CacheStatistics>	Control.freeCachedMemory() Trigger memory cleanup to free unused graphs if RELEASE_MEMORY_THRESHOLD is reached
PgxFuture<oracle.pgx.common.pojo.admin.CacheStatistics>	Control.freeCachedMemory(double threshold) Trigger memory cleanup to free unused graphs if threshold is reached
PgxFuture<oracle.pgx.common.VersionInfo>	Control.getExtendedVersion() Gets an extended version.
PgxFuture<oracle.pgx.common.pojo.admin.GraphInfo>	Control.getGraphInfo(java.lang.String graphName) Deprecated. since 2.7.0
PgxFuture<oracle.pgx.common.pojo.admin.GraphInfo>	Control.getGraphInfo(java.lang.String sessionId, java.lang.String graphName) Deprecated. since 2.7.0
PgxFuture<java.util.Collection<oracle.pgx.common.pojo.admin.GraphInfo>>	Control.getGraphInfos() Deprecated. since 2.7.0
PgxFuture<oracle.pgx.common.pojo.admin.MemoryInfo>	Control.getMemoryInfo() Deprecated. since 2.7.0
PgxFuture<java.util.Map<PgxConfig.Field,java.lang.Object>>	Control.getPgxConfig() Gets the pgx config.
default PgxFuture<PgxConfig>	Control.getPgxConfigObject() Gets the pgx config as PgxConfig object
PgxFuture<oracle.pgx.common.pojo.admin.ResourceElasticityStatus>	Control.getResourceElasticityStatus() Get the status of the cluster regarding elasticity-related resources.
PgxFuture<com.fasterxml.jackson.databind.JsonNode>	Control.getServerState() Gets the server state.
default PgxFuture<oracle.pgx.common.pojo.admin.SessionInfo>	Control.getSessionInfo(SessionContext sessionContext) Deprecated. since 20.2.0
PgxFuture<oracle.pgx.common.pojo.admin.SessionInfo>	Control.getSessionInfo(java.lang.String sessionId) Deprecated. since 2.7.0
PgxFuture<java.util.Collection<oracle.pgx.common.pojo.admin.SessionInfo>>	Control.getSessionInfos() Deprecated. since 2.7.0
PgxFuture<java.util.Set<PgxGenericPermission>>	Control.getSystemPermissions() Get the roles of the current user.
PgxFuture<oracle.pgx.common.pojo.admin.PoolInfo>	Control.getThreadPoolInfo(PoolType type) Deprecated. since 2.7.0
PgxFuture<java.lang.String>	Control.getUsername() Get the name of the current user.
PgxFuture<java.util.Set<java.lang.String>>	Control.getUserRoles() Get the roles of the current user.
PgxFuture<java.lang.String>	Control.getVersion()
PgxFuture<java.lang.Boolean>	Control.isGraphPreloadingDone() Check if the preloading of the graphs is finished
PgxFuture<java.lang.Boolean>	Control.isReady() Check if the engine is ready to accept new requests
PgxFuture<java.lang.Boolean>	Control.isRunning() Check if the engine is currently up
PgxFuture<com.fasterxml.jackson.databind.JsonNode>	Control.joinMachine(java.lang.String hostname) Joins a new follower to an existing PGX.D cluster.
PgxFuture<java.lang.Void>	Control.killSession(java.lang.String sessionId) Kill session.
PgxFuture<java.lang.Void>	Control.setSessionMaxMemorySize(java.lang.String sessionId, int size, oracle.pgx.common.MemoryUnit unit) Set the maximum memory limit for the given session.
PgxFuture<java.lang.Boolean>	Control.shutdown(long timeout, java.util.concurrent.TimeUnit unit) gracefully shuts down the engine and cleans up resources.
PgxFuture<java.lang.Void>	Control.shutdownNow() forces the engine to stop and clean up resources.
PgxFuture<java.lang.Void>	Control.shutdownNowIfRunning()
PgxFuture<java.lang.Void>	Control.start()
PgxFuture<java.lang.Void>	Control.start(java.io.InputStream config)
PgxFuture<java.lang.Void>	Control.start(java.util.Map<PgxConfig.Field,java.lang.Object> config)
default PgxFuture<java.lang.Void>	Control.start(PgxConfig config)
PgxFuture<java.lang.Void>	Control.start(java.lang.String json)
PgxFuture<java.lang.Void>	Control.start(java.lang.String json, java.lang.String keystorePath, char[] keystorePassword)
PgxFuture<java.lang.Void>	Control.unpinGraph(java.lang.String graphName) Unpins the specified published graph so that if no session uses any of its snapshot, it can be removed.
PgxFuture<java.lang.Void>	Control.updatePgxConfig(java.io.InputStream config) Replaces the current PGX config with the given configuration.
PgxFuture<java.lang.Void>	Control.updatePgxConfig(java.util.Map<PgxConfig.Field,java.lang.Object> config) Replaces the current PGX config with the given configuration.
default PgxFuture<java.lang.Void>	Control.updatePgxConfig(PgxConfig config) Replaces the current PGX config with the given configuration.
PgxFuture<java.lang.Void>	Control.updatePgxConfig(java.lang.String json) Replaces the current PGX config with the given configuration.

Uses of PgxFuture in oracle.pgx.api.executionenvironment

Methods in oracle.pgx.api.executionenvironment that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<java.lang.Boolean>	ExecutionEnvironment.allowsConcurrentTasksAsync() Checks if the session allows the tasks to run concurrently.
PgxFuture<java.lang.Integer>	CpuEnvironment.getMaxNumThreadsAsync()
PgxFuture<java.lang.Integer>	IoEnvironment.getNumThreadsPerTaskAsync()
PgxFuture<TaskPriority>	CpuEnvironment.getPriorityAsync()
PgxFuture<UpdateConsistencyModel>	ExecutionEnvironment.getUpdateConsistencyModelAsync() Gets the consistency model to be used with in-place updates (if enabled).
PgxFuture<java.util.List<java.util.Map.Entry<java.lang.String,java.lang.Object>>>	ExecutionEnvironment.getValuesAsync()
PgxFuture<java.lang.Integer>	CpuEnvironment.getWeightAsync()
PgxFuture<java.lang.Void>	ExecutionEnvironment.resetAsync() Resets the environment for this session to the configured default values.
PgxFuture<java.lang.Void>	ExecutionEnvironment.resetUpdateConsistencyModelAsync() Resets the consistency model to be used with in-place updates (if enabled) to the default value, as configured in PgxConfig.getInPlaceUpdateConsistencyModel()
PgxFuture<java.lang.Void>	CpuEnvironment.setMaxNumThreadsAsync(java.lang.Integer maxNumThreads) Sets the limit on the numbers of thread to use to the given value
PgxFuture<java.lang.Void>	IoEnvironment.setNumThreadsPerTaskAsync(java.lang.Integer numThreadsPerTask) Sets the current value for the number of threads used for IO tasks
PgxFuture<java.lang.Void>	CpuEnvironment.setPriorityAsync(TaskPriority priority) Sets the priority to the given value
PgxFuture<java.lang.Void>	ExecutionEnvironment.setUpdateConsistencyModelAsync(UpdateConsistencyModel model) Sets the consistency model to be used with in-place updates (if enabled).
PgxFuture<java.lang.Void>	CpuEnvironment.setWeightAsync(java.lang.Integer weight) Sets the weight to the given value
<T> PgxFuture<T>	CpuEnvironment.withMaxNumThreadsAsync(int maxNumThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given limit on the number of threads to use
<T> PgxFuture<T>	ExecutionEnvironment.withMaxNumThreadsAsync(int maxNumThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with at most maxNumThreads.
<T> PgxFuture<T>	IoEnvironment.withNumThreadsPerTaskAsync(int numThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the number of threads used for IO tasks
<T> PgxFuture<T>	CpuEnvironment.withPriorityAsync(TaskPriority priority, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given priority.
<T> PgxFuture<T>	ExecutionEnvironment.withUpdateConsistencyModelAsync(UpdateConsistencyModel model, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given consistency model (only relevant if in-place updates are enabled).
<T> PgxFuture<T>	CpuEnvironment.withWeightAsync(int weight, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given weight.

Method parameters in oracle.pgx.api.executionenvironment with type arguments of type PgxFuture

Modifier and Type	Method and Description
<T> T	CpuEnvironment.withMaxNumThreads(int maxNumThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Blocking version of CpuEnvironment.withMaxNumThreadsAsync(int, Supplier).
<T> T	ExecutionEnvironment.withMaxNumThreads(int maxNumThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Blocking version of ExecutionEnvironment.withMaxNumThreadsAsync(int, Supplier).
<T> PgxFuture<T>	CpuEnvironment.withMaxNumThreadsAsync(int maxNumThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given limit on the number of threads to use
<T> PgxFuture<T>	ExecutionEnvironment.withMaxNumThreadsAsync(int maxNumThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with at most maxNumThreads.
<T> T	IoEnvironment.withNumThreadsPerTask(int numThreads, java.util.function.Supplier<PgxFuture<T>> asyncSupplier) Blocking version of IoEnvironment.withNumThreadsPerTaskAsync(int, Supplier).
<T> PgxFuture<T>	IoEnvironment.withNumThreadsPerTaskAsync(int numThreads, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the number of threads used for IO tasks
<T> T	CpuEnvironment.withPriority(TaskPriority priority, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Blocking version of CpuEnvironment.withPriorityAsync(TaskPriority, Supplier).
<T> PgxFuture<T>	CpuEnvironment.withPriorityAsync(TaskPriority priority, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given priority.
<T> T	ExecutionEnvironment.withUpdateConsistencyModel(UpdateConsistencyModel model, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Blocking version of ExecutionEnvironment.withUpdateConsistencyModelAsync(UpdateConsistencyModel, Supplier).
<T> PgxFuture<T>	ExecutionEnvironment.withUpdateConsistencyModelAsync(UpdateConsistencyModel model, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given consistency model (only relevant if in-place updates are enabled).
<T> T	CpuEnvironment.withWeight(int weight, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Blocking version of CpuEnvironment.withWeightAsync(int, Supplier).
<T> PgxFuture<T>	CpuEnvironment.withWeightAsync(int weight, java.util.function.Supplier<PgxFuture<T>> asyncRequest) Executes the given asynchronous request with the given weight.

Uses of PgxFuture in oracle.pgx.api.expansion

Methods in oracle.pgx.api.expansion that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<PgxGraph>	AbstractGraphExpander.expandAsync() Call the expand operation.
PgxFuture<PgxGraph>	AbstractGraphExpander.expandAsync(java.lang.String newGraphName) Call the expand operation.
PgxFuture<PgxGraph>	AbstractGraphExpander.expandNewSnapshotAsync() Call the expand operation.

Constructor parameters in oracle.pgx.api.expansion with type arguments of type PgxFuture

Constructor and Description
AbstractGraphExpander(PartitionedGraphConfig graphConfig, PgxSession session, java.util.function.Function<oracle.pgx.api.expansion.internal.GraphExpansionConfig,PgxFuture<PgxGraph>> expansionFunction, oracle.pgx.api.subgraph.internal.KeystoreLookup keystoreLookup)
GenericGraphExpander(PartitionedGraphConfig graphConfig, PgxSession session, java.util.function.Function<oracle.pgx.api.expansion.internal.GraphExpansionConfig,PgxFuture<PgxGraph>> expansionFunction, oracle.pgx.api.subgraph.internal.KeystoreLookup keystoreLookup) Create a new instance of this generic expander.
PgqlViewGraphExpander(PartitionedGraphConfig graphConfig, PgxSession session, java.util.function.Function<oracle.pgx.api.expansion.internal.GraphExpansionConfig,PgxFuture<PgxGraph>> expansionFunction, oracle.pgx.api.subgraph.internal.KeystoreLookup keystoreLookup) Create a new expander from a base graph.

Uses of PgxFuture in oracle.pgx.api.frames

Methods in oracle.pgx.api.frames that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<PgxFrameBuilder>	PgxFrameBuilder.addRowsAsync(java.util.Map<java.lang.String,java.lang.Iterable<?>> rows) Validates the news rows with the previously specified schema and adds them to the current frame builder
PgxFuture<PgxFrame>	PgxFrameBuilder.buildAsync(java.lang.String frameName) Builds a frame with the previously given schema and rows
abstract PgxFuture<java.lang.Long>	PgxFrame.countAsync() Gives the numbers of rows in a frame
PgxFuture<PgxGraph>	PgxGraphFromFramesCreator.createAsync()
PgxFuture<PgxGraph>	AbstractPgxEntityProviderFromFramesCreator.createAsync() Create a graph from the parameters and providers provided
PgxFuture<PgxFrame>	PgxGenericFrameReader.csvAsync(java.lang.String... uris) triggers the async loading of the csv PgxFrame
PgxFuture<java.lang.Void>	PgxGenericFrameStorer.csvAsync(java.lang.String uri) triggers async storing of the csv PgxFrame
abstract PgxFuture<java.lang.Void>	PgxFrame.destroyAsync() Requests destruction of this object.
PgxFuture<java.lang.Void>	PgxFrameBuilder.destroyAsync()
abstract PgxFuture<java.lang.Void>	PgxFrameColumn.destroyAsync() Requests destruction of this object.
PgxFuture<PgxFrame>	PgxFrame.flattenAllAsync() Create a new PgxFrame with all nested columns and vector columns flattened into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.flattenAllInPlaceAsync() Modifies the PgxFrame by flattening all nested columns and vector columns into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.flattenAsync(java.lang.String... columns) Create a new PgxFrame with the specified nested columns and vector columns flattened into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.flattenInPlaceAsync(java.lang.String... columns) Modifies the PgxFrame by flattening all the specified columns and vector columns into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.headAsync() Extracts the PgxFrame.headInPlace(long) first rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.headAsync(long numRows) Extracts the numRows first rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.headInPlaceAsync() Modifies the frame to only keep the first PgxFrame.headInPlace(long) rows in the frame
PgxFuture<PgxFrame>	PgxFrame.headInPlaceAsync(long numRows) Modifies the frame to only keep the first numRows rows in the frame
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String joinKeyColumn) Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column joinKeyColumn.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn) Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame The resulting frame will contain the columns of this frame and the columns of right frame without any prefixes.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String joinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix) Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
abstract PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix) Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFuture<java.lang.Long>	PgxFrame.lengthAsync() Gives the numbers of rows in a frame.
abstract PgxFuture<PgxFrame>	PgxFrameReader.loadAsync(java.lang.String... uris) trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxGenericFrameReader.loadAsync(java.lang.String... uris) triggers the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxCsvFrameReader.loadAsync(java.lang.String... uris) trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxPgbFrameReader.loadAsync(java.lang.String... uris) trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxDbFrameReader.loadAsync(java.lang.String... uris) trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxGenericFrameReader.pgbAsync(java.lang.String... uris) triggers the async loading of the pgb PgxFrame
PgxFuture<java.lang.Void>	PgxGenericFrameStorer.pgbAsync(java.lang.String uri) triggers async storing of the pgb PgxFrame
PgxFuture<PgxFrame>	PgxFrame.printAsync() Prints all results to System.out.
PgxFuture<PgxFrame>	PgxFrame.printAsync(long numRows) Prints numRows results to System.out.
PgxFuture<PgxFrame>	PgxFrame.printAsync(long numResults, long from) Prints numResults results from the frame to System.out.
PgxFuture<PgxFrame>	PgxFrame.printAsync(java.io.PrintStream printStream, long numResults, long from) Prints the content of the frame
PgxFuture<PgxFrame>	PgxFrame.renameColumnAsync(java.lang.String oldColumnName, java.lang.String newColumnName) Returns a new PgxFrame in which the specified column is renamed as specified
PgxFuture<PgxFrame>	PgxFrame.renameColumnInPlaceAsync(java.lang.String oldColumnName, java.lang.String newColumnName) Modifies the PgxFrame by renaming the specified column is renamed as specified
PgxFuture<PgxFrame>	PgxFrame.renameColumnsAsync(ColumnRenaming... columnsWithRenamings) Returns a new PgxFrame in which the specified columns are renamed as specified
PgxFuture<PgxFrame>	PgxFrame.renameColumnsInPlaceAsync(ColumnRenaming... columnsWithRenamings) Modifies the PgxFrame to rename the specified columns as specified
PgxFuture<PgxFrame>	PgxFrame.selectAsync(java.lang.String... columns) Returns a new PgxFrame that contains only the specified columns
PgxFuture<PgxFrame>	PgxFrame.selectInPlaceAsync(java.lang.String... columns) Modifies the PgxFrame to contain only the specified columns
PgxFuture<java.lang.Void>	PgxCsvFrameStorer.storeAsync(java.lang.String... uris) trigger the async storing of the PgxFrame
abstract PgxFuture<java.lang.Void>	PgxFrameStorer.storeAsync(java.lang.String... uris) trigger the async storing of the PgxFrame
PgxFuture<java.lang.Void>	PgxDbFrameStorer.storeAsync(java.lang.String... uris) trigger the async storing of the PgxFrame
PgxFuture<java.lang.Void>	PgxGenericFrameStorer.storeAsync(java.lang.String... uris) triggers the async storing of the PgxFrame
PgxFuture<java.lang.Void>	PgxPgbFrameStorer.storeAsync(java.lang.String... uris) trigger the async storing of the PgxFrame
PgxFuture<PgxFrame>	PgxFrame.tailAsync() Extracts the last PgxFrame.DEFAULT_LIMIT rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.tailAsync(long numRows) Extracts the numRows last rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.tailInPlaceAsync() Modifies the frame to keep the last PgxFrame.DEFAULT_LIMIT rows of the frame
PgxFuture<PgxFrame>	PgxFrame.tailInPlaceAsync(long numRows) Modifies the frame to keep the last numRows rows of the frame
abstract PgxFuture<PgqlResultSet>	PgxFrame.toPgqlResultSetAsync() Creates a new PgqlResultSet having the same content as this frame.
abstract PgxFuture<PgxFrame>	PgxFrame.unionAsync(PgxFrame b, PgxFrame... others) Creates a new PgxFrame by concatenating the rows of this frame with the rows of b and others.

Uses of PgxFuture in oracle.pgx.api.graphalteration

Methods in oracle.pgx.api.graphalteration that return PgxFuture

Modifier and Type	Method and Description
default PgxFuture<PgxGraph>	GraphAlterationBuilder.buildAsync() Create a new graph that is the result of the alteration of the current graph.
PgxFuture<PgxGraph>	GraphAlterationBuilder.buildAsync(java.lang.String newGraphName) Create a new graph that is the result of the alteration of the current graph.
PgxFuture<PgxGraph>	GraphAlterationBuilder.buildNewSnapshotAsync() Create a new snapshot for the current graph that is the result of the alteration of the current snapshot.

Uses of PgxFuture in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<PgxFrame>	Pg2vecModel.computeSimilarsAsync(java.util.List<java.lang.Object> graphletIdObjects, int k) Computes the top-k similar graphlets for a list of input graphlets
PgxFuture<PgxFrame>	DeepWalkModel.computeSimilarsAsync(java.util.List<java.lang.Object> vertexIdObjects, int k) Computes the top-k similar vertices for a list of input vertices
PgxFuture<PgxFrame>	Pg2vecModel.computeSimilarsAsync(java.lang.Object graphletIdObject, int k) Computes the top-k similar graphlets for a given graphlet
PgxFuture<PgxFrame>	DeepWalkModel.computeSimilarsAsync(java.lang.Object vertexIdObject, int k) Computes the top-k similar vertices for a given vertex
abstract PgxFuture<java.lang.Void>	ModelRepository.createAsync(java.lang.String modelStoreName) Non-blocking version of the create method.
PgxFuture<java.lang.Void>	DbModelRepository.createAsync(java.lang.String modelStoreName)
abstract PgxFuture<java.lang.Void>	ModelRepository.deleteModelAsync(java.lang.String modelStoreName, java.lang.String modelName) Non-blocking version of the deleteModel method.
PgxFuture<java.lang.Void>	DbModelRepository.deleteModelAsync(java.lang.String modelStoreName, java.lang.String modelName)
abstract PgxFuture<java.lang.Void>	ModelRepository.deleteModelStoreAsync(java.lang.String modelStoreName) Non-blocking version of the deleteModelStore method.
PgxFuture<java.lang.Void>	DbModelRepository.deleteModelStoreAsync(java.lang.String modelStoreName)
PgxFuture<java.lang.Void>	Pg2vecModel.destroyAsync() Destroys a pre-trained Pg2vec model
abstract PgxFuture<java.lang.Void>	Model.destroyAsync() Requests destruction of this object.
PgxFuture<java.lang.Void>	DeepWalkModel.destroyAsync() Destroys a pre-trained DeepWalk model
PgxFuture<java.lang.Void>	GraphWiseModel.destroyAsync() Destroys a GraphWise model
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices) Evaluates (macro averaged) classification performance statistics for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold) Evaluates (macro averaged) classification performance statistics for the specified vertices.
PgxFuture<java.lang.Void>	Pg2vecModel.fitAsync(PgxGraph graph) Trains the Pg2vec model on the input graph
PgxFuture<java.lang.Void>	DeepWalkModel.fitAsync(PgxGraph graph) Trains the DeepWalk model on the input graph
PgxFuture<java.lang.Double>	UnsupervisedGraphWiseModel.fitAsync(PgxGraph graph) Trains the GraphWise model on the input graph.
PgxFuture<java.lang.Double>	SupervisedGraphWiseModel.fitAsync(PgxGraph graph) Trains the GraphWise model on the input graph.
abstract PgxFuture<java.lang.Double>	GraphWiseModel.fitAsync(PgxGraph graph) Trains the GraphWise model on the input graph.
abstract PgxFuture<java.lang.String>	ModelRepository.getModelDescriptionAsync(java.lang.String modelStoreName, java.lang.String modelName) Non-blocking version of the getModelDescription method.
PgxFuture<java.lang.String>	DbModelRepository.getModelDescriptionAsync(java.lang.String modelStoreName, java.lang.String modelName)
PgxFuture<PgxFrame>	Pg2vecModel.getTrainedGraphletVectorsAsync() Gets the trained graphlet vectors for the current pg2vec model
PgxFuture<PgxFrame>	DeepWalkModel.getTrainedVertexVectorsAsync() Gets the trained vertex vectors for the current DeepWalk model
<ID> PgxFuture<UnsupervisedGnnExplanation<ID>>	UnsupervisedGnnExplainer.inferAndExplainAsync(PgxGraph graph, PgxVertex<ID> vertex) Performs inference on the specified vertex and generates an explanation that contains scores of how important each property and each vertex in the computation graph is for the prediction.
<ID> PgxFuture<SupervisedGnnExplanation<ID>>	SupervisedGnnExplainer.inferAndExplainAsync(PgxGraph graph, PgxVertex<ID> vertex) Performs inference on the specified vertex and generates an explanation that contains scores of how important each property and each vertex in the computation graph is for the prediction.
<ID> PgxFuture<SupervisedGnnExplanation<ID>>	SupervisedGnnExplainer.inferAndExplainAsync(PgxGraph graph, PgxVertex<ID> vertex, float threshold) Performs inference on the specified vertex and generates an explanation that contains scores of how important each property and each vertex in the computation graph is for the prediction.
<ID> PgxFuture<UnsupervisedGnnExplanation<ID>>	UnsupervisedGraphWiseModel.inferAndGetExplanationAsync(PgxGraph graph, PgxVertex<ID> vertex) Deprecated. since 22.2 - use UnsupervisedGnnExplainer.inferAndExplainAsync(PgxGraph, PgxVertex) instead
<ID> PgxFuture<SupervisedGnnExplanation<ID>>	SupervisedGraphWiseModel.inferAndGetExplanationAsync(PgxGraph graph, PgxVertex<ID> vertex) Deprecated. since 22.2 - use SupervisedGnnExplainer.inferAndExplainAsync(PgxGraph, PgxVertex) instead
<ID> PgxFuture<SupervisedGnnExplanation<ID>>	SupervisedGraphWiseModel.inferAndGetExplanationAsync(PgxGraph graph, PgxVertex<ID> vertex, float threshold) Deprecated. since 22.2 - use SupervisedGnnExplainer.inferAndExplainAsync(PgxGraph, PgxVertex, float) instead
<ID> PgxFuture<UnsupervisedGnnExplanation<ID>>	UnsupervisedGraphWiseModel.inferAndGetExplanationAsync(PgxGraph graph, PgxVertex<ID> vertex, int numClusters) Deprecated. since 22.2 - use UnsupervisedGnnExplainer.inferAndExplainAsync(PgxGraph, PgxVertex) instead
<ID> PgxFuture<PgxFrame>	UnsupervisedGraphWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices) Infers the embeddings for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices) Infers the embeddings for the specified vertices.
abstract <ID> PgxFuture<PgxFrame>	GraphWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices) Infers the embeddings for the specified vertices.
PgxFuture<PgxFrame>	Pg2vecModel.inferGraphletVectorAsync(PgxGraph graph) Infers the vector of the input graphlet
PgxFuture<PgxFrame>	Pg2vecModel.inferGraphletVectorBatchedAsync(PgxGraph graph) Infers the vectors of the input graphlets
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices) Infers the labels for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold) Infers the labels for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferLogitsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices) Infers the prediction logits for the specified vertices.
abstract PgxFuture<java.util.List<java.lang.String>>	ModelRepository.listModelsAsync(java.lang.String modelStoreName) Non-blocking version of the listModels method.
PgxFuture<java.util.List<java.lang.String>>	DbModelRepository.listModelsAsync(java.lang.String modelStoreName)
abstract PgxFuture<java.util.List<java.lang.String>>	ModelRepository.listModelStoresNamesAsync() Non-blocking version of the listModelStoresNames method.
PgxFuture<java.util.List<java.lang.String>>	DbModelRepository.listModelStoresNamesAsync()
PgxFuture<ModelType>	FileModelLoader.loadAsync()
PgxFuture<ModelType>	DbModelLoader.loadAsync()
abstract PgxFuture<LoadedModelType>	ModelLoader.loadAsync() Trigger the load, once all the parameters have been set (async version)
PgxFuture<ModelType>	GenericModelLoader.loadAsync()
abstract PgxFuture<java.lang.Void>	ModelStorer.storeAsync() Trigger the storing, once all the parameters have been set (async version)
PgxFuture<java.lang.Void>	GenericModelStorer.storeAsync()
PgxFuture<java.lang.Void>	FileModelStorer.storeAsync()
PgxFuture<java.lang.Void>	DbModelStorer.storeAsync()
PgxFuture<java.lang.Void>	Pg2vecModel.storeAsync(java.lang.String path, java.lang.String key) Stores the Pg2vec model in the specified path, with encryption.
PgxFuture<java.lang.Void>	DeepWalkModel.storeAsync(java.lang.String path, java.lang.String key) Stores the DeepWalk model in the specified path, with encryption.
PgxFuture<java.lang.Void>	UnsupervisedGraphWiseModel.storeAsync(java.lang.String path, java.lang.String key) Stores the GraphWise model in the specified path, with encryption.
PgxFuture<java.lang.Void>	SupervisedGraphWiseModel.storeAsync(java.lang.String path, java.lang.String key) Stores the GraphWise model in the specified path, with encryption.
PgxFuture<java.lang.Void>	Pg2vecModel.storeAsync(java.lang.String path, java.lang.String key, boolean overwrite) Stores the Pg2vec model in the specified path, with encryption.
PgxFuture<java.lang.Void>	DeepWalkModel.storeAsync(java.lang.String path, java.lang.String key, boolean overwrite) Stores the DeepWalk model in the specified path, with encryption.
PgxFuture<java.lang.Void>	UnsupervisedGraphWiseModel.storeAsync(java.lang.String path, java.lang.String key, boolean overwrite) Stores the GraphWise model in the specified path, with encryption.
PgxFuture<java.lang.Void>	SupervisedGraphWiseModel.storeAsync(java.lang.String path, java.lang.String key, boolean overwrite) Stores the GraphWise model in the specified path, with encryption.

Uses of PgxFuture in oracle.pgx.api.subgraph

Methods in oracle.pgx.api.subgraph that return PgxFuture

Modifier and Type	Method and Description
PgxFuture<PgxGraph>	PgViewSubgraphReader.loadAsync()
PgxFuture<PgxGraph>	AbstractSubgraphReader.loadAsync() Load the subgraph.
PgxFuture<PgxGraph>	PgViewSubgraphReader.loadAsync(java.lang.String graphName)
PgxFuture<PgxGraph>	GenericSubgraphReader.loadAsync(java.lang.String graphName)
abstract PgxFuture<PgxGraph>	AbstractSubgraphReader.loadAsync(java.lang.String graphName) Load the subgraph.

Constructor parameters in oracle.pgx.api.subgraph with type arguments of type PgxFuture

Constructor and Description
GenericSubgraphReader(PgxSession session, oracle.pgx.api.subgraph.internal.KeystoreLookup keystoreLookup, java.util.function.Function<GraphConfig,PgxFuture<PgxGraph>> readFunction) Create an instance of this generic reader.