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<div class="subTitle">org.apache.spark.graphx</div>
<h2 title="Class Graph" class="title">Class Graph<VD,ED></h2>
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<li>java.lang.Object</li>
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<pre>public abstract class <span class="strong">Graph<VD,ED></span>
extends java.lang.Object
implements scala.Serializable</pre>
<div class="block">The Graph abstractly represents a graph with arbitrary objects
associated with vertices and edges. The graph provides basic
operations to access and manipulate the data associated with
vertices and edges as well as the underlying structure. Like Spark
RDDs, the graph is a functional data-structure in which mutating
operations return new graphs.
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<td class="colFirst"><code>protected </code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#Graph(scala.reflect.ClassTag, scala.reflect.ClassTag)">Graph</a></strong>(scala.reflect.ClassTag<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>> evidence$1,
scala.reflect.ClassTag<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> evidence$2)</code> </td>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code><A> <a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><A></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#aggregateMessages(scala.Function1, scala.Function2, org.apache.spark.graphx.TripletFields, scala.reflect.ClassTag)">aggregateMessages</a></strong>(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeContext.html" title="class in org.apache.spark.graphx">EdgeContext</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>,A>,scala.runtime.BoxedUnit> sendMsg,
scala.Function2<A,A,A> mergeMsg,
<a href="../../../../org/apache/spark/graphx/TripletFields.html" title="class in org.apache.spark.graphx">TripletFields</a> tripletFields,
scala.reflect.ClassTag<A> evidence$12)</code>
<div class="block">Aggregates values from the neighboring edges and vertices of each vertex.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>static <VD,ED> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,ED></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#apply(org.apache.spark.rdd.RDD, org.apache.spark.rdd.RDD, VD, org.apache.spark.storage.StorageLevel, org.apache.spark.storage.StorageLevel, scala.reflect.ClassTag, scala.reflect.ClassTag)">apply</a></strong>(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<java.lang.Object,VD>> vertices,
<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><ED>> edges,
VD defaultVertexAttr,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> edgeStorageLevel,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$19,
scala.reflect.ClassTag<ED> evidence$20)</code>
<div class="block">Construct a graph from a collection of vertices and
edges with attributes.</div>
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<tr class="altColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#cache()">cache</a></strong>()</code>
<div class="block">Caches the vertices and edges associated with this graph at the previously-specified target
storage levels, which default to <code>MEMORY_ONLY</code>.</div>
</td>
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<td class="colFirst"><code>abstract void</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#checkpoint()">checkpoint</a></strong>()</code>
<div class="block">Mark this Graph for checkpointing.</div>
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<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/EdgeRDD.html" title="class in org.apache.spark.graphx">EdgeRDD</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#edges()">edges</a></strong>()</code>
<div class="block">An RDD containing the edges and their associated attributes.</div>
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<tr class="rowColor">
<td class="colFirst"><code>static <VD,ED> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,ED></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#fromEdges(org.apache.spark.rdd.RDD, VD, org.apache.spark.storage.StorageLevel, org.apache.spark.storage.StorageLevel, scala.reflect.ClassTag, scala.reflect.ClassTag)">fromEdges</a></strong>(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><ED>> edges,
VD defaultValue,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> edgeStorageLevel,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$17,
scala.reflect.ClassTag<ED> evidence$18)</code>
<div class="block">Construct a graph from a collection of edges.</div>
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<td class="colFirst"><code>static <VD> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,java.lang.Object></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#fromEdgeTuples(org.apache.spark.rdd.RDD, VD, scala.Option, org.apache.spark.storage.StorageLevel, org.apache.spark.storage.StorageLevel, scala.reflect.ClassTag)">fromEdgeTuples</a></strong>(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<java.lang.Object,java.lang.Object>> rawEdges,
VD defaultValue,
scala.Option<<a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx">PartitionStrategy</a>> uniqueEdges,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> edgeStorageLevel,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$16)</code>
<div class="block">Construct a graph from a collection of edges encoded as vertex id pairs.</div>
</td>
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<td class="colFirst"><code>abstract scala.collection.Seq<java.lang.String></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#getCheckpointFiles()">getCheckpointFiles</a></strong>()</code>
<div class="block">Gets the name of the files to which this Graph was checkpointed.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>static <VD,ED> <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx">GraphOps</a><VD,ED></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#graphToGraphOps(org.apache.spark.graphx.Graph, scala.reflect.ClassTag, scala.reflect.ClassTag)">graphToGraphOps</a></strong>(<a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,ED> g,
scala.reflect.ClassTag<VD> evidence$21,
scala.reflect.ClassTag<ED> evidence$22)</code>
<div class="block">Implicitly extracts the <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx"><code>GraphOps</code></a> member from a graph.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#groupEdges(scala.Function2)">groupEdges</a></strong>(scala.Function2<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> merge)</code>
<div class="block">Merges multiple edges between two vertices into a single edge.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#isCheckpointed()">isCheckpointed</a></strong>()</code>
<div class="block">Return whether this Graph has been checkpointed or not.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapEdges(scala.Function1, scala.reflect.ClassTag)">mapEdges</a></strong>(scala.Function1<<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,ED2> map,
scala.reflect.ClassTag<ED2> evidence$4)</code>
<div class="block">Transforms each edge attribute in the graph using the map function.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapEdges(scala.Function2, scala.reflect.ClassTag)">mapEdges</a></strong>(scala.Function2<java.lang.Object,scala.collection.Iterator<<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>>,scala.collection.Iterator<ED2>> map,
scala.reflect.ClassTag<ED2> evidence$5)</code>
<div class="block">Transforms each edge attribute using the map function, passing it a whole partition at a
time.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>abstract <A> <a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><A></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapReduceTriplets(scala.Function1, scala.Function2, scala.Option, scala.reflect.ClassTag)">mapReduceTriplets</a></strong>(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,scala.collection.Iterator<scala.Tuple2<java.lang.Object,A>>> mapFunc,
scala.Function2<A,A,A> reduceFunc,
scala.Option<scala.Tuple2<<a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><?>,<a href="../../../../org/apache/spark/graphx/EdgeDirection.html" title="class in org.apache.spark.graphx">EdgeDirection</a>>> activeSetOpt,
scala.reflect.ClassTag<A> evidence$11)</code>
<div class="block">Aggregates values from the neighboring edges and vertices of each vertex.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code><ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapTriplets(scala.Function1, scala.reflect.ClassTag)">mapTriplets</a></strong>(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,ED2> map,
scala.reflect.ClassTag<ED2> evidence$6)</code>
<div class="block">Transforms each edge attribute using the map function, passing it the adjacent vertex
attributes as well.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapTriplets(scala.Function1, org.apache.spark.graphx.TripletFields, scala.reflect.ClassTag)">mapTriplets</a></strong>(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,ED2> map,
<a href="../../../../org/apache/spark/graphx/TripletFields.html" title="class in org.apache.spark.graphx">TripletFields</a> tripletFields,
scala.reflect.ClassTag<ED2> evidence$7)</code>
<div class="block">Transforms each edge attribute using the map function, passing it the adjacent vertex
attributes as well.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapTriplets(scala.Function2, org.apache.spark.graphx.TripletFields, scala.reflect.ClassTag)">mapTriplets</a></strong>(scala.Function2<java.lang.Object,scala.collection.Iterator<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>>,scala.collection.Iterator<ED2>> map,
<a href="../../../../org/apache/spark/graphx/TripletFields.html" title="class in org.apache.spark.graphx">TripletFields</a> tripletFields,
scala.reflect.ClassTag<ED2> evidence$8)</code>
<div class="block">Transforms each edge attribute a partition at a time using the map function, passing it the
adjacent vertex attributes as well.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>abstract <VD2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD2,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mapVertices(scala.Function2, scala.reflect.ClassTag, scala.Predef.$eq$colon$eq)">mapVertices</a></strong>(scala.Function2<java.lang.Object,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,VD2> map,
scala.reflect.ClassTag<VD2> evidence$3,
scala.Predef.$eq$colon$eq<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,VD2> eq)</code>
<div class="block">Transforms each vertex attribute in the graph using the map function.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract <VD2,ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#mask(org.apache.spark.graphx.Graph, scala.reflect.ClassTag, scala.reflect.ClassTag)">mask</a></strong>(<a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD2,ED2> other,
scala.reflect.ClassTag<VD2> evidence$9,
scala.reflect.ClassTag<ED2> evidence$10)</code>
<div class="block">Restricts the graph to only the vertices and edges that are also in <code>other</code>, but keeps the
attributes from this graph.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx">GraphOps</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#ops()">ops</a></strong>()</code>
<div class="block">The associated <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx"><code>GraphOps</code></a> object.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract <U,VD2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD2,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#outerJoinVertices(org.apache.spark.rdd.RDD, scala.Function3, scala.reflect.ClassTag, scala.reflect.ClassTag, scala.Predef.$eq$colon$eq)">outerJoinVertices</a></strong>(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<java.lang.Object,U>> other,
scala.Function3<java.lang.Object,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,scala.Option<U>,VD2> mapFunc,
scala.reflect.ClassTag<U> evidence$14,
scala.reflect.ClassTag<VD2> evidence$15,
scala.Predef.$eq$colon$eq<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,VD2> eq)</code>
<div class="block">Joins the vertices with entries in the <code>table</code> RDD and merges the results using <code>mapFunc</code>.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#partitionBy(org.apache.spark.graphx.PartitionStrategy)">partitionBy</a></strong>(<a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx">PartitionStrategy</a> partitionStrategy)</code>
<div class="block">Repartitions the edges in the graph according to <code>partitionStrategy</code>.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#partitionBy(org.apache.spark.graphx.PartitionStrategy, int)">partitionBy</a></strong>(<a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx">PartitionStrategy</a> partitionStrategy,
int numPartitions)</code>
<div class="block">Repartitions the edges in the graph according to <code>partitionStrategy</code>.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#persist(org.apache.spark.storage.StorageLevel)">persist</a></strong>(<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> newLevel)</code>
<div class="block">Caches the vertices and edges associated with this graph at the specified storage level,
ignoring any target storage levels previously set.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#reverse()">reverse</a></strong>()</code>
<div class="block">Reverses all edges in the graph.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#subgraph(scala.Function1, scala.Function2)">subgraph</a></strong>(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,java.lang.Object> epred,
scala.Function2<java.lang.Object,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,java.lang.Object> vpred)</code>
<div class="block">Restricts the graph to only the vertices and edges satisfying the predicates.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#triplets()">triplets</a></strong>()</code>
<div class="block">An RDD containing the edge triplets, which are edges along with the vertex data associated with
the adjacent vertices.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#unpersist(boolean)">unpersist</a></strong>(boolean blocking)</code>
<div class="block">Uncaches both vertices and edges of this graph.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#unpersistVertices(boolean)">unpersistVertices</a></strong>(boolean blocking)</code>
<div class="block">Uncaches only the vertices of this graph, leaving the edges alone.</div>
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<tr class="rowColor">
<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/graphx/Graph.html#vertices()">vertices</a></strong>()</code>
<div class="block">An RDD containing the vertices and their associated attributes.</div>
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<pre>protected Graph(scala.reflect.ClassTag<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>> evidence$1,
scala.reflect.ClassTag<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> evidence$2)</pre>
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<pre>public static <VD> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,java.lang.Object> fromEdgeTuples(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<java.lang.Object,java.lang.Object>> rawEdges,
VD defaultValue,
scala.Option<<a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx">PartitionStrategy</a>> uniqueEdges,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> edgeStorageLevel,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$16)</pre>
<div class="block">Construct a graph from a collection of edges encoded as vertex id pairs.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>rawEdges</code> - a collection of edges in (src, dst) form</dd><dd><code>defaultValue</code> - the vertex attributes with which to create vertices referenced by the edges</dd><dd><code>uniqueEdges</code> - if multiple identical edges are found they are combined and the edge
attribute is set to the sum. Otherwise duplicate edges are treated as separate. To enable
<code>uniqueEdges</code>, a <a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx"><code>PartitionStrategy</code></a> must be provided.</dd><dd><code>edgeStorageLevel</code> - the desired storage level at which to cache the edges if necessary</dd><dd><code>vertexStorageLevel</code> - the desired storage level at which to cache the vertices if necessary
<p></dd><dd><code>evidence$16</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>a graph with edge attributes containing either the count of duplicate edges or 1
(if <code>uniqueEdges</code> is <code>None</code>) and vertex attributes containing the total degree of each vertex.</dd></dl>
</li>
</ul>
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<pre>public static <VD,ED> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,ED> fromEdges(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><ED>> edges,
VD defaultValue,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> edgeStorageLevel,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$17,
scala.reflect.ClassTag<ED> evidence$18)</pre>
<div class="block">Construct a graph from a collection of edges.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>edges</code> - the RDD containing the set of edges in the graph</dd><dd><code>defaultValue</code> - the default vertex attribute to use for each vertex</dd><dd><code>edgeStorageLevel</code> - the desired storage level at which to cache the edges if necessary</dd><dd><code>vertexStorageLevel</code> - the desired storage level at which to cache the vertices if necessary
<p></dd><dd><code>evidence$17</code> - (undocumented)</dd><dd><code>evidence$18</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>a graph with edge attributes described by <code>edges</code> and vertices
given by all vertices in <code>edges</code> with value <code>defaultValue</code></dd></dl>
</li>
</ul>
<a name="apply(org.apache.spark.rdd.RDD,org.apache.spark.rdd.RDD,java.lang.Object,org.apache.spark.storage.StorageLevel,org.apache.spark.storage.StorageLevel,scala.reflect.ClassTag,scala.reflect.ClassTag)">
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<pre>public static <VD,ED> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,ED> apply(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<java.lang.Object,VD>> vertices,
<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><ED>> edges,
VD defaultVertexAttr,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> edgeStorageLevel,
<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$19,
scala.reflect.ClassTag<ED> evidence$20)</pre>
<div class="block">Construct a graph from a collection of vertices and
edges with attributes. Duplicate vertices are picked arbitrarily and
vertices found in the edge collection but not in the input
vertices are assigned the default attribute.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>vertices</code> - the "set" of vertices and their attributes</dd><dd><code>edges</code> - the collection of edges in the graph</dd><dd><code>defaultVertexAttr</code> - the default vertex attribute to use for vertices that are
mentioned in edges but not in vertices</dd><dd><code>edgeStorageLevel</code> - the desired storage level at which to cache the edges if necessary</dd><dd><code>vertexStorageLevel</code> - the desired storage level at which to cache the vertices if necessary</dd><dd><code>evidence$19</code> - (undocumented)</dd><dd><code>evidence$20</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public static <VD,ED> <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx">GraphOps</a><VD,ED> graphToGraphOps(<a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD,ED> g,
scala.reflect.ClassTag<VD> evidence$21,
scala.reflect.ClassTag<ED> evidence$22)</pre>
<div class="block">Implicitly extracts the <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx"><code>GraphOps</code></a> member from a graph.
<p>
To improve modularity the Graph type only contains a small set of basic operations.
All the convenience operations are defined in the <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx"><code>GraphOps</code></a> class which may be
shared across multiple graph implementations.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>g</code> - (undocumented)</dd><dd><code>evidence$21</code> - (undocumented)</dd><dd><code>evidence$22</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>> vertices()</pre>
<div class="block">An RDD containing the vertices and their associated attributes.
<p></div>
<dl><dt><span class="strong">Returns:</span></dt><dd>an RDD containing the vertices in this graph</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/EdgeRDD.html" title="class in org.apache.spark.graphx">EdgeRDD</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> edges()</pre>
<div class="block">An RDD containing the edges and their associated attributes. The entries in the RDD contain
just the source id and target id along with the edge data.
<p></div>
<dl><dt><span class="strong">Returns:</span></dt><dd>an RDD containing the edges in this graph
<p></dd><dt><span class="strong">See Also:</span></dt><dd><code>Edge} for the edge type.</code>,
<code>Graph#triplets} to get an RDD which contains all the edges
along with their vertex data.
<p></code></dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>> triplets()</pre>
<div class="block">An RDD containing the edge triplets, which are edges along with the vertex data associated with
the adjacent vertices. The caller should use <code>edges</code> if the vertex data are not needed, i.e.
if only the edge data and adjacent vertex ids are needed.
<p></div>
<dl><dt><span class="strong">Returns:</span></dt><dd>an RDD containing edge triplets
<p></dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> persist(<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> newLevel)</pre>
<div class="block">Caches the vertices and edges associated with this graph at the specified storage level,
ignoring any target storage levels previously set.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>newLevel</code> - the level at which to cache the graph.
<p></dd>
<dt><span class="strong">Returns:</span></dt><dd>A reference to this graph for convenience.</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> cache()</pre>
<div class="block">Caches the vertices and edges associated with this graph at the previously-specified target
storage levels, which default to <code>MEMORY_ONLY</code>. This is used to pin a graph in memory enabling
multiple queries to reuse the same construction process.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract void checkpoint()</pre>
<div class="block">Mark this Graph for checkpointing. It will be saved to a file inside the checkpoint
directory set with SparkContext.setCheckpointDir() and all references to its parent
RDDs will be removed. It is strongly recommended that this Graph is persisted in
memory, otherwise saving it on a file will require recomputation.</div>
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<pre>public abstract boolean isCheckpointed()</pre>
<div class="block">Return whether this Graph has been checkpointed or not.
This returns true iff both the vertices RDD and edges RDD have been checkpointed.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract scala.collection.Seq<java.lang.String> getCheckpointFiles()</pre>
<div class="block">Gets the name of the files to which this Graph was checkpointed.
(The vertices RDD and edges RDD are checkpointed separately.)</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> unpersist(boolean blocking)</pre>
<div class="block">Uncaches both vertices and edges of this graph. This is useful in iterative algorithms that
build a new graph in each iteration.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>blocking</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> unpersistVertices(boolean blocking)</pre>
<div class="block">Uncaches only the vertices of this graph, leaving the edges alone. This is useful in iterative
algorithms that modify the vertex attributes but reuse the edges. This method can be used to
uncache the vertex attributes of previous iterations once they are no longer needed, improving
GC performance.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>blocking</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> partitionBy(<a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx">PartitionStrategy</a> partitionStrategy)</pre>
<div class="block">Repartitions the edges in the graph according to <code>partitionStrategy</code>.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>partitionStrategy</code> - the partitioning strategy to use when partitioning the edges
in the graph.</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> partitionBy(<a href="../../../../org/apache/spark/graphx/PartitionStrategy.html" title="interface in org.apache.spark.graphx">PartitionStrategy</a> partitionStrategy,
int numPartitions)</pre>
<div class="block">Repartitions the edges in the graph according to <code>partitionStrategy</code>.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>partitionStrategy</code> - the partitioning strategy to use when partitioning the edges
in the graph.</dd><dd><code>numPartitions</code> - the number of edge partitions in the new graph.</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <VD2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD2,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> mapVertices(scala.Function2<java.lang.Object,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,VD2> map,
scala.reflect.ClassTag<VD2> evidence$3,
scala.Predef.$eq$colon$eq<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,VD2> eq)</pre>
<div class="block">Transforms each vertex attribute in the graph using the map function.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>map</code> - the function from a vertex object to a new vertex value
<p></dd><dd><code>evidence$3</code> - (undocumented)</dd><dd><code>eq</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2> mapEdges(scala.Function1<<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,ED2> map,
scala.reflect.ClassTag<ED2> evidence$4)</pre>
<div class="block">Transforms each edge attribute in the graph using the map function. The map function is not
passed the vertex value for the vertices adjacent to the edge. If vertex values are desired,
use <code>mapTriplets</code>.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>map</code> - the function from an edge object to a new edge value.
<p></dd><dd><code>evidence$4</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2> mapEdges(scala.Function2<java.lang.Object,scala.collection.Iterator<<a href="../../../../org/apache/spark/graphx/Edge.html" title="class in org.apache.spark.graphx">Edge</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>>,scala.collection.Iterator<ED2>> map,
scala.reflect.ClassTag<ED2> evidence$5)</pre>
<div class="block">Transforms each edge attribute using the map function, passing it a whole partition at a
time. The map function is given an iterator over edges within a logical partition as well as
the partition's ID, and it should return a new iterator over the new values of each edge. The
new iterator's elements must correspond one-to-one with the old iterator's elements. If
adjacent vertex values are desired, use <code>mapTriplets</code>.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>map</code> - a function that takes a partition id and an iterator
over all the edges in the partition, and must return an iterator over
the new values for each edge in the order of the input iterator
<p></dd><dd><code>evidence$5</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2> mapTriplets(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,ED2> map,
scala.reflect.ClassTag<ED2> evidence$6)</pre>
<div class="block">Transforms each edge attribute using the map function, passing it the adjacent vertex
attributes as well. If adjacent vertex values are not required,
consider using <code>mapEdges</code> instead.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>map</code> - the function from an edge object to a new edge value.
<p></dd><dd><code>evidence$6</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2> mapTriplets(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,ED2> map,
<a href="../../../../org/apache/spark/graphx/TripletFields.html" title="class in org.apache.spark.graphx">TripletFields</a> tripletFields,
scala.reflect.ClassTag<ED2> evidence$7)</pre>
<div class="block">Transforms each edge attribute using the map function, passing it the adjacent vertex
attributes as well. If adjacent vertex values are not required,
consider using <code>mapEdges</code> instead.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>map</code> - the function from an edge object to a new edge value.</dd><dd><code>tripletFields</code> - which fields should be included in the edge triplet passed to the map
function. If not all fields are needed, specifying this can improve performance.
<p></dd><dd><code>evidence$7</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,ED2> mapTriplets(scala.Function2<java.lang.Object,scala.collection.Iterator<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>>,scala.collection.Iterator<ED2>> map,
<a href="../../../../org/apache/spark/graphx/TripletFields.html" title="class in org.apache.spark.graphx">TripletFields</a> tripletFields,
scala.reflect.ClassTag<ED2> evidence$8)</pre>
<div class="block">Transforms each edge attribute a partition at a time using the map function, passing it the
adjacent vertex attributes as well. The map function is given an iterator over edge triplets
within a logical partition and should yield a new iterator over the new values of each edge in
the order in which they are provided. If adjacent vertex values are not required, consider
using <code>mapEdges</code> instead.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>map</code> - the iterator transform</dd><dd><code>tripletFields</code> - which fields should be included in the edge triplet passed to the map
function. If not all fields are needed, specifying this can improve performance.
<p></dd><dd><code>evidence$8</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> reverse()</pre>
<div class="block">Reverses all edges in the graph. If this graph contains an edge from a to b then the returned
graph contains an edge from b to a.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> subgraph(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,java.lang.Object> epred,
scala.Function2<java.lang.Object,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,java.lang.Object> vpred)</pre>
<div class="block">Restricts the graph to only the vertices and edges satisfying the predicates. The resulting
subgraph satisifies
<p>
<pre><code>
V' = {v : for all v in V where vpred(v)}
E' = {(u,v): for all (u,v) in E where epred((u,v)) && vpred(u) && vpred(v)}
</code></pre>
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>epred</code> - the edge predicate, which takes a triplet and
evaluates to true if the edge is to remain in the subgraph. Note
that only edges where both vertices satisfy the vertex
predicate are considered.
<p></dd><dd><code>vpred</code> - the vertex predicate, which takes a vertex object and
evaluates to true if the vertex is to be included in the subgraph
<p></dd>
<dt><span class="strong">Returns:</span></dt><dd>the subgraph containing only the vertices and edges that
satisfy the predicates</dd></dl>
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<pre>public abstract <VD2,ED2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> mask(<a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD2,ED2> other,
scala.reflect.ClassTag<VD2> evidence$9,
scala.reflect.ClassTag<ED2> evidence$10)</pre>
<div class="block">Restricts the graph to only the vertices and edges that are also in <code>other</code>, but keeps the
attributes from this graph.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>other</code> - the graph to project this graph onto</dd><dd><code>evidence$9</code> - (undocumented)</dd><dd><code>evidence$10</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>a graph with vertices and edges that exist in both the current graph and <code>other</code>,
with vertex and edge data from the current graph</dd></dl>
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<pre>public abstract <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> groupEdges(scala.Function2<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> merge)</pre>
<div class="block">Merges multiple edges between two vertices into a single edge. For correct results, the graph
must have been partitioned using <code>partitionBy</code>.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>merge</code> - the user-supplied commutative associative function to merge edge attributes
for duplicate edges.
<p></dd>
<dt><span class="strong">Returns:</span></dt><dd>The resulting graph with a single edge for each (source, dest) vertex pair.</dd></dl>
</li>
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<pre>public abstract <A> <a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><A> mapReduceTriplets(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeTriplet.html" title="class in org.apache.spark.graphx">EdgeTriplet</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>>,scala.collection.Iterator<scala.Tuple2<java.lang.Object,A>>> mapFunc,
scala.Function2<A,A,A> reduceFunc,
scala.Option<scala.Tuple2<<a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><?>,<a href="../../../../org/apache/spark/graphx/EdgeDirection.html" title="class in org.apache.spark.graphx">EdgeDirection</a>>> activeSetOpt,
scala.reflect.ClassTag<A> evidence$11)</pre>
<div class="block">Aggregates values from the neighboring edges and vertices of each vertex. The user supplied
<code>mapFunc</code> function is invoked on each edge of the graph, generating 0 or more "messages" to be
"sent" to either vertex in the edge. The <code>reduceFunc</code> is then used to combine the output of
the map phase destined to each vertex.
<p>
This function is deprecated in 1.2.0 because of SPARK-3936. Use aggregateMessages instead.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>mapFunc</code> - the user defined map function which returns 0 or
more messages to neighboring vertices
<p></dd><dd><code>reduceFunc</code> - the user defined reduce function which should
be commutative and associative and is used to combine the output
of the map phase
<p></dd><dd><code>activeSetOpt</code> - an efficient way to run the aggregation on a subset of the edges if
desired. This is done by specifying a set of "active" vertices and an edge direction. The
<code>sendMsg</code> function will then run only on edges connected to active vertices by edges in the
specified direction. If the direction is <code>In</code>, <code>sendMsg</code> will only be run on edges with
destination in the active set. If the direction is <code>Out</code>, <code>sendMsg</code> will only be run on edges
originating from vertices in the active set. If the direction is <code>Either</code>, <code>sendMsg</code> will be
run on edges with *either* vertex in the active set. If the direction is <code>Both</code>, <code>sendMsg</code>
will be run on edges with *both* vertices in the active set. The active set must have the
same index as the graph's vertices.
<p></dd><dd><code>evidence$11</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
</li>
</ul>
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<h4>aggregateMessages</h4>
<pre>public <A> <a href="../../../../org/apache/spark/graphx/VertexRDD.html" title="class in org.apache.spark.graphx">VertexRDD</a><A> aggregateMessages(scala.Function1<<a href="../../../../org/apache/spark/graphx/EdgeContext.html" title="class in org.apache.spark.graphx">EdgeContext</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>,A>,scala.runtime.BoxedUnit> sendMsg,
scala.Function2<A,A,A> mergeMsg,
<a href="../../../../org/apache/spark/graphx/TripletFields.html" title="class in org.apache.spark.graphx">TripletFields</a> tripletFields,
scala.reflect.ClassTag<A> evidence$12)</pre>
<div class="block">Aggregates values from the neighboring edges and vertices of each vertex. The user-supplied
<code>sendMsg</code> function is invoked on each edge of the graph, generating 0 or more messages to be
sent to either vertex in the edge. The <code>mergeMsg</code> function is then used to combine all messages
destined to the same vertex.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>sendMsg</code> - runs on each edge, sending messages to neighboring vertices using the
<a href="../../../../org/apache/spark/graphx/EdgeContext.html" title="class in org.apache.spark.graphx"><code>EdgeContext</code></a>.</dd><dd><code>mergeMsg</code> - used to combine messages from <code>sendMsg</code> destined to the same vertex. This
combiner should be commutative and associative.</dd><dd><code>tripletFields</code> - which fields should be included in the <a href="../../../../org/apache/spark/graphx/EdgeContext.html" title="class in org.apache.spark.graphx"><code>EdgeContext</code></a> passed to the
<code>sendMsg</code> function. If not all fields are needed, specifying this can improve performance.
<p></dd><dd><code>evidence$12</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
</li>
</ul>
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<h4>outerJoinVertices</h4>
<pre>public abstract <U,VD2> <a href="../../../../org/apache/spark/graphx/Graph.html" title="class in org.apache.spark.graphx">Graph</a><VD2,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> outerJoinVertices(<a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<java.lang.Object,U>> other,
scala.Function3<java.lang.Object,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,scala.Option<U>,VD2> mapFunc,
scala.reflect.ClassTag<U> evidence$14,
scala.reflect.ClassTag<VD2> evidence$15,
scala.Predef.$eq$colon$eq<<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,VD2> eq)</pre>
<div class="block">Joins the vertices with entries in the <code>table</code> RDD and merges the results using <code>mapFunc</code>.
The input table should contain at most one entry for each vertex. If no entry in <code>other</code> is
provided for a particular vertex in the graph, the map function receives <code>None</code>.
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>other</code> - the table to join with the vertices in the graph.
The table should contain at most one entry for each vertex.</dd><dd><code>mapFunc</code> - the function used to compute the new vertex values.
The map function is invoked for all vertices, even those
that do not have a corresponding entry in the table.
<p></dd><dd><code>evidence$14</code> - (undocumented)</dd><dd><code>evidence$15</code> - (undocumented)</dd><dd><code>eq</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>ops</h4>
<pre>public <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx">GraphOps</a><<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">VD</a>,<a href="../../../../org/apache/spark/graphx/Graph.html" title="type parameter in Graph">ED</a>> ops()</pre>
<div class="block">The associated <a href="../../../../org/apache/spark/graphx/GraphOps.html" title="class in org.apache.spark.graphx"><code>GraphOps</code></a> object.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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