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authorShivansh <shiv4nsh@gmail.com>2016-08-07 09:30:18 +0100
committerSean Owen <sowen@cloudera.com>2016-08-07 09:30:18 +0100
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[SPARK-16911] Fix the links in the programming guide
## What changes were proposed in this pull request? Fix the broken links in the programming guide of the Graphx Migration and understanding closures ## How was this patch tested? By running the test cases and checking the links. Author: Shivansh <shiv4nsh@gmail.com> Closes #14503 from shiv4nsh/SPARK-16911.
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@@ -67,23 +67,6 @@ operators (e.g., [subgraph](#structural_operators), [joinVertices](#join_operato
[aggregateMessages](#aggregateMessages)) as well as an optimized variant of the [Pregel](#pregel) API. In addition, GraphX includes a growing collection of graph [algorithms](#graph_algorithms) and
[builders](#graph_builders) to simplify graph analytics tasks.
-
-## Migrating from Spark 1.1
-
-GraphX in Spark 1.2 contains a few user facing API changes:
-
-1. To improve performance we have introduced a new version of
-[`mapReduceTriplets`][Graph.mapReduceTriplets] called
-[`aggregateMessages`][Graph.aggregateMessages] which takes the messages previously returned from
-[`mapReduceTriplets`][Graph.mapReduceTriplets] through a callback ([`EdgeContext`][EdgeContext])
-rather than by return value.
-We are deprecating [`mapReduceTriplets`][Graph.mapReduceTriplets] and encourage users to consult
-the [transition guide](#mrTripletsTransition).
-
-2. In Spark 1.0 and 1.1, the type signature of [`EdgeRDD`][EdgeRDD] switched from
-`EdgeRDD[ED]` to `EdgeRDD[ED, VD]` to enable some caching optimizations. We have since discovered
-a more elegant solution and have restored the type signature to the more natural `EdgeRDD[ED]` type.
-
# Getting Started
To get started you first need to import Spark and GraphX into your project, as follows: