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-rw-r--r--docs/graphx-programming-guide.md5
1 files changed, 2 insertions, 3 deletions
diff --git a/docs/graphx-programming-guide.md b/docs/graphx-programming-guide.md
index 6f738f0599..58671e6f14 100644
--- a/docs/graphx-programming-guide.md
+++ b/docs/graphx-programming-guide.md
@@ -24,7 +24,6 @@ description: GraphX graph processing library guide for Spark SPARK_VERSION_SHORT
[Graph.outerJoinVertices]: api/scala/index.html#org.apache.spark.graphx.Graph@outerJoinVertices[U,VD2](RDD[(VertexId,U)])((VertexId,VD,Option[U])⇒VD2)(ClassTag[U],ClassTag[VD2]):Graph[VD2,ED]
[Graph.aggregateMessages]: api/scala/index.html#org.apache.spark.graphx.Graph@aggregateMessages[A]((EdgeContext[VD,ED,A])⇒Unit,(A,A)⇒A,TripletFields)(ClassTag[A]):VertexRDD[A]
[EdgeContext]: api/scala/index.html#org.apache.spark.graphx.EdgeContext
-[Graph.mapReduceTriplets]: api/scala/index.html#org.apache.spark.graphx.Graph@mapReduceTriplets[A](mapFunc:org.apache.spark.graphx.EdgeTriplet[VD,ED]=>Iterator[(org.apache.spark.graphx.VertexId,A)],reduceFunc:(A,A)=>A,activeSetOpt:Option[(org.apache.spark.graphx.VertexRDD[_],org.apache.spark.graphx.EdgeDirection)])(implicitevidence$10:scala.reflect.ClassTag[A]):org.apache.spark.graphx.VertexRDD[A]
[GraphOps.collectNeighborIds]: api/scala/index.html#org.apache.spark.graphx.GraphOps@collectNeighborIds(EdgeDirection):VertexRDD[Array[VertexId]]
[GraphOps.collectNeighbors]: api/scala/index.html#org.apache.spark.graphx.GraphOps@collectNeighbors(EdgeDirection):VertexRDD[Array[(VertexId,VD)]]
[RDD Persistence]: programming-guide.html#rdd-persistence
@@ -596,7 +595,7 @@ compute the average age of the more senior followers of each user.
### Map Reduce Triplets Transition Guide (Legacy)
In earlier versions of GraphX neighborhood aggregation was accomplished using the
-[`mapReduceTriplets`][Graph.mapReduceTriplets] operator:
+`mapReduceTriplets` operator:
{% highlight scala %}
class Graph[VD, ED] {
@@ -607,7 +606,7 @@ class Graph[VD, ED] {
}
{% endhighlight %}
-The [`mapReduceTriplets`][Graph.mapReduceTriplets] operator takes a user defined map function which
+The `mapReduceTriplets` operator takes a user defined map function which
is applied to each triplet and can yield *messages* which are aggregated using the user defined
`reduce` function.
However, we found the user of the returned iterator to be expensive and it inhibited our ability to