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Posted to commits@spark.apache.org by fe...@apache.org on 2017/01/27 18:31:33 UTC

spark git commit: [SPARK-19333][SPARKR] Add Apache License headers to R files

Repository: spark
Updated Branches:
  refs/heads/master 4e35c5a3d -> 385d73848


[SPARK-19333][SPARKR] Add Apache License headers to R files

## What changes were proposed in this pull request?

add header

## How was this patch tested?

Manual run to check vignettes html is created properly

Author: Felix Cheung <fe...@hotmail.com>

Closes #16709 from felixcheung/rfilelicense.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/385d7384
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/385d7384
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/385d7384

Branch: refs/heads/master
Commit: 385d73848b0d274467b633c7615e03b370f4a634
Parents: 4e35c5a
Author: Felix Cheung <fe...@hotmail.com>
Authored: Fri Jan 27 10:31:28 2017 -0800
Committer: Felix Cheung <fe...@apache.org>
Committed: Fri Jan 27 10:31:28 2017 -0800

----------------------------------------------------------------------
 R/pkg/NAMESPACE                      | 17 +++++++++++++++++
 R/pkg/vignettes/sparkr-vignettes.Rmd | 17 +++++++++++++++++
 2 files changed, 34 insertions(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark/blob/385d7384/R/pkg/NAMESPACE
----------------------------------------------------------------------
diff --git a/R/pkg/NAMESPACE b/R/pkg/NAMESPACE
index 7ff6e9a..7c16ba3 100644
--- a/R/pkg/NAMESPACE
+++ b/R/pkg/NAMESPACE
@@ -1,3 +1,20 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
 # Imports from base R
 # Do not include stats:: "rpois", "runif" - causes error at runtime
 importFrom("methods", "setGeneric", "setMethod", "setOldClass")

http://git-wip-us.apache.org/repos/asf/spark/blob/385d7384/R/pkg/vignettes/sparkr-vignettes.Rmd
----------------------------------------------------------------------
diff --git a/R/pkg/vignettes/sparkr-vignettes.Rmd b/R/pkg/vignettes/sparkr-vignettes.Rmd
index 6f11c5c..9b0ded3 100644
--- a/R/pkg/vignettes/sparkr-vignettes.Rmd
+++ b/R/pkg/vignettes/sparkr-vignettes.Rmd
@@ -10,6 +10,23 @@ vignette: >
   \usepackage[utf8]{inputenc}
 ---
 
+<!--
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements.  See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+-->
+
 ## Overview
 
 SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. With Spark `r packageVersion("SparkR")`, SparkR provides a distributed data frame implementation that supports data processing operations like selection, filtering, aggregation etc. and distributed machine learning using [MLlib](http://spark.apache.org/mllib/).


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