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From da...@apache.org
Subject [1/2] incubator-beam git commit: Remove last vestige of the words DirectPipeline
Date Fri, 17 Jun 2016 18:45:56 GMT
Repository: incubator-beam
Updated Branches:
  refs/heads/master da324bf52 -> 336ae2e7e


Remove last vestige of the words DirectPipeline


Project: http://git-wip-us.apache.org/repos/asf/incubator-beam/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-beam/commit/c666d4ee
Tree: http://git-wip-us.apache.org/repos/asf/incubator-beam/tree/c666d4ee
Diff: http://git-wip-us.apache.org/repos/asf/incubator-beam/diff/c666d4ee

Branch: refs/heads/master
Commit: c666d4eedf9b0b85a24445bbe8bc69a0f26686f5
Parents: da324bf
Author: Thomas Groh <tgroh@google.com>
Authored: Fri Jun 17 10:25:44 2016 -0700
Committer: Davor Bonaci <davor@google.com>
Committed: Fri Jun 17 11:45:43 2016 -0700

----------------------------------------------------------------------
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/c666d4ee/README.md
----------------------------------------------------------------------
diff --git a/README.md b/README.md
index fa00e82..b34d933 100644
--- a/README.md
+++ b/README.md
@@ -66,7 +66,7 @@ Have ideas for new SDKs or DSLs? See the [Jira](https://issues.apache.org/jira/b
 
 Beam supports executing programs on multiple distributed processing backends through PipelineRunners.
Currently, the following PipelineRunners are available:
 
-- The `DirectPipelineRunner` runs the pipeline on your local machine.
+- The `DirectRunner` runs the pipeline on your local machine.
 - The `DataflowPipelineRunner` submits the pipeline to the [Google Cloud Dataflow](http://cloud.google.com/dataflow/).
 - The `FlinkPipelineRunner` runs the pipeline on an Apache Flink cluster. The code has been
donated from [dataArtisans/flink-dataflow](https://github.com/dataArtisans/flink-dataflow)
and is now part of Beam.
 - The `SparkPipelineRunner` runs the pipeline on an Apache Spark cluster. The code has been
donated from [cloudera/spark-dataflow](https://github.com/cloudera/spark-dataflow) and is
now part of Beam.


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