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-rw-r--r--docs/bagel-programming-guide.md10
-rw-r--r--docs/index.md1
2 files changed, 1 insertions, 10 deletions
diff --git a/docs/bagel-programming-guide.md b/docs/bagel-programming-guide.md
index c2fe6b0e28..347ca4a7af 100644
--- a/docs/bagel-programming-guide.md
+++ b/docs/bagel-programming-guide.md
@@ -4,7 +4,7 @@ displayTitle: Bagel Programming Guide
title: Bagel
---
-**Bagel will soon be superseded by [GraphX](graphx-programming-guide.html); we recommend that new users try GraphX instead.**
+**Bagel is deprecated, and superseded by [GraphX](graphx-programming-guide.html).**
Bagel is a Spark implementation of Google's [Pregel](http://portal.acm.org/citation.cfm?id=1807184) graph processing framework. Bagel currently supports basic graph computation, combiners, and aggregators.
@@ -157,11 +157,3 @@ trait Message[K] {
def targetId: K
}
{% endhighlight %}
-
-# Where to Go from Here
-
-Two example jobs, PageRank and shortest path, are included in `examples/src/main/scala/org/apache/spark/examples/bagel`. You can run them by passing the class name to the `bin/run-example` script included in Spark; e.g.:
-
- ./bin/run-example org.apache.spark.examples.bagel.WikipediaPageRank
-
-Each example program prints usage help when run without any arguments.
diff --git a/docs/index.md b/docs/index.md
index d85cf12def..c0dc2b8d74 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -90,7 +90,6 @@ options for deployment:
* [Spark SQL and DataFrames](sql-programming-guide.html): support for structured data and relational queries
* [MLlib](mllib-guide.html): built-in machine learning library
* [GraphX](graphx-programming-guide.html): Spark's new API for graph processing
- * [Bagel (Pregel on Spark)](bagel-programming-guide.html): older, simple graph processing model
**API Docs:**