Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/6668#discussion_r31883785
--- Diff: examples/src/main/r/1-data.R ---
@@ -0,0 +1,41 @@
+#
+# 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.
+#
+
+# For this example, we shall use the "flights" dataset
+# The data can be downloaded from:
https://s3-us-west-2.amazonaws.com/sparkr-data/flights.csv
+# The dataset consists of every flight departing Houston in 2011.
+# The data set is made up of 227,496 rows x 14 columns.
+
+source("0-getting-started.R")
+
+# Create an R data frame and then convert it to a SparkR DataFrame -------
+
+## Create R dataframe
+install.packages("data.table") #We want to use the fread() function to
read the dataset
--- End diff --
Could we use the spark-csv reader for this ? That way users will learn the
way to read in large CSV files. I've done something similar in this gist here
https://gist.github.com/shivaram/d0cd4aa5c4381edd6f85#file-dataframe_example-r-L6
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