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I'm going to close this pull request. If this is still relevant and you are
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(Is GraphX active anymore? I haven't seen activity or responses on these
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@srowen GraphX is still active we have just been pretty busy with some
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Github user brennonyork commented on the pull request:
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@ankurdave when you get a chance can you review this? I know its been a
while, but I finally had a chance to get back to this and rework it given your
above
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jenkins retest this please
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@ankurdave, thanks for the clarification. Let me take a second stab at this
given what you stated and I should have something much more in line with the
original
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Hmm, this doesn't really fulfill the role of folds at the moment. The
initial values are passed to a fold function that otherwise does the same
thing as a reduce
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jenkins, retest this please
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lgtm except for the naming issue.
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--- Diff: graphx/src/main/scala/org/apache/spark/graphx/VertexRDD.scala ---
@@ -154,7 +154,30 @@ abstract class VertexRDD[VD](
* @return a
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--- Diff:
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@@ -154,7 +154,30 @@ abstract class VertexRDD[VD](
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--- Diff: graphx/src/main/scala/org/apache/spark/graphx/VertexRDD.scala ---
@@ -154,7 +154,30 @@ abstract class VertexRDD[VD](
* @return a VertexRDD
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--- Diff: graphx/src/main/scala/org/apache/spark/graphx/VertexRDD.scala ---
@@ -154,7 +154,30 @@ abstract class VertexRDD[VD](
* @return a VertexRDD
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[SPARK-4086][GraphX]: Fold-style aggregation for VertexRDD
Adds five new methods into the `VertexRDD` suite to allow for fold-style
calling conventions. Those methods are:
*
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@ankurdave thoughts / comments? Is this in line with what you were looking
for?
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