SPARK-1637: Clean up examples for 1.0

- [x] Move all of them into subpackages of org.apache.spark.examples (right now some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) - [x] Move Python examples into examples/src/main/python - [x] Update docs to reflect these changes Author: Sandeep <[email protected]> This patch had conflicts when merged, resolved by Committer: Matei Zaharia <[email protected]> Closes #571 from techaddict/SPARK-1637 and squashes the following commits: 47ef86c [Sandeep] Changes based on Discussions on PR, removing use of RawTextHelper from examples 8ed2d3f [Sandeep] Docs Updated for changes, Change for java examples 5f96121 [Sandeep] Move Python examples into examples/src/main/python 0a8dd77 [Sandeep] Move all Scala Examples to org.apache.spark.examples (some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) (cherry picked from commit a000b5c) Signed-off-by: Matei Zaharia <[email protected]>
apache · May 7, 2014 · 8cfebf5 · 8cfebf5
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diff --git a/docs/index.md b/docs/index.md
@@ -24,11 +24,11 @@ right version of Scala from [scala-lang.org](http://www.scala-lang.org/download/
 
 # Running the Examples and Shell
 
-Spark comes with several sample programs.  Scala and Java examples are in the `examples` directory, and Python examples are in `python/examples`.
+Spark comes with several sample programs.  Scala, Java and Python examples are in the `examples/src/main` directory.
 To run one of the Java or Scala sample programs, use `./bin/run-example <class> <params>` in the top-level Spark directory
 (the `bin/run-example` script sets up the appropriate paths and launches that program).
 For example, try `./bin/run-example org.apache.spark.examples.SparkPi local`.
-To run a Python sample program, use `./bin/pyspark <sample-program> <params>`.  For example, try `./bin/pyspark ./python/examples/pi.py local`.
+To run a Python sample program, use `./bin/pyspark <sample-program> <params>`.  For example, try `./bin/pyspark ./examples/src/main/python/pi.py local`.
 
 Each example prints usage help when run with no parameters.
 

diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
@@ -161,9 +161,9 @@ some example applications.
 
 # Where to Go from Here
 
-PySpark also includes several sample programs in the [`python/examples` folder](https://github.com/apache/spark/tree/master/python/examples).
+PySpark also includes several sample programs in the [`examples/src/main/python` folder](https://github.com/apache/spark/tree/master/examples/src/main/python).
 You can run them by passing the files to `pyspark`; e.g.:
 
-    ./bin/spark-submit python/examples/wordcount.py
+    ./bin/spark-submit examples/src/main/python/wordcount.py
 
 Each program prints usage help when run without arguments.
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
@@ -129,7 +129,7 @@ ssc.awaitTermination()  // Wait for the computation to terminate
 {% endhighlight %}
 
 The complete code can be found in the Spark Streaming example
-[NetworkWordCount]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala).
+[NetworkWordCount]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/examples/streaming/NetworkWordCount.scala).
 <br>
 
 </div>
@@ -215,7 +215,7 @@ jssc.awaitTermination();   // Wait for the computation to terminate
 {% endhighlight %}
 
 The complete code can be found in the Spark Streaming example
-[JavaNetworkWordCount]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/java/org/apache/spark/streaming/examples/JavaNetworkWordCount.java).
+[JavaNetworkWordCount]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/java/org/apache/spark/examples/streaming/JavaNetworkWordCount.java).
 <br>
 
 </div>
@@ -234,12 +234,12 @@ Then, in a different terminal, you can start the example by using
 <div class="codetabs">
 <div data-lang="scala" markdown="1">
 {% highlight bash %}
-$ ./bin/run-example org.apache.spark.streaming.examples.NetworkWordCount local[2] localhost 9999
+$ ./bin/run-example org.apache.spark.examples.streaming.NetworkWordCount local[2] localhost 9999
 {% endhighlight %}
 </div>
 <div data-lang="java" markdown="1">
 {% highlight bash %}
-$ ./bin/run-example org.apache.spark.streaming.examples.JavaNetworkWordCount local[2] localhost 9999
+$ ./bin/run-example org.apache.spark.examples.streaming.JavaNetworkWordCount local[2] localhost 9999
 {% endhighlight %}
 </div>
 </div>
@@ -268,7 +268,7 @@ hello world
 {% highlight bash %}
 # TERMINAL 2: RUNNING NetworkWordCount or JavaNetworkWordCount
 
-$ ./bin/run-example org.apache.spark.streaming.examples.NetworkWordCount local[2] localhost 9999
+$ ./bin/run-example org.apache.spark.examples.streaming.NetworkWordCount local[2] localhost 9999
 ...
 -------------------------------------------
 Time: 1357008430000 ms
@@ -609,7 +609,7 @@ JavaPairDStream<String, Integer> runningCounts = pairs.updateStateByKey(updateFu
 The update function will be called for each word, with `newValues` having a sequence of 1's (from
 the `(word, 1)` pairs) and the `runningCount` having the previous count. For the complete
 Scala code, take a look at the example
-[StatefulNetworkWordCount]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/streaming/examples/StatefulNetworkWordCount.scala).
+[StatefulNetworkWordCount]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/examples/streaming/StatefulNetworkWordCount.scala).
 
 <h4>Transform Operation</h4>
 
@@ -1135,7 +1135,7 @@ If the `checkpointDirectory` exists, then the context will be recreated from the
 If the directory does not exist (i.e., running for the first time),
 then the function `functionToCreateContext` will be called to create a new
 context and set up the DStreams. See the Scala example
-[RecoverableNetworkWordCount]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/streaming/examples/RecoverableNetworkWordCount.scala).
+[RecoverableNetworkWordCount]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/examples/streaming/RecoverableNetworkWordCount.scala).
 This example appends the word counts of network data into a file.
 
 You can also explicitly create a `StreamingContext` from the checkpoint data and start the
@@ -1174,7 +1174,7 @@ If the `checkpointDirectory` exists, then the context will be recreated from the
 If the directory does not exist (i.e., running for the first time),
 then the function `contextFactory` will be called to create a new
 context and set up the DStreams. See the Scala example
-[JavaRecoverableWordCount]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/streaming/examples/JavaRecoverableWordCount.scala)
+[JavaRecoverableWordCount]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/examples/streaming/JavaRecoverableWordCount.scala)
 (note that this example is missing in the 0.9 release, so you can test it using the master branch).
 This example appends the word counts of network data into a file.
 
@@ -1374,7 +1374,6 @@ package and renamed for better clarity.
     [ZeroMQUtils](api/java/org/apache/spark/streaming/zeromq/ZeroMQUtils.html), and
     [MQTTUtils](api/java/org/apache/spark/streaming/mqtt/MQTTUtils.html)
 
-* More examples in [Scala]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/streaming/examples)
-  and [Java]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/java/org/apache/spark/streaming/examples)
-* [Paper](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf) and
-[video](http://youtu.be/g171ndOHgJ0) describing Spark Streaming.
+* More examples in [Scala]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/examples/streaming)
+  and [Java]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/java/org/apache/spark/examples/streaming)
+* [Paper](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf) and [video](http://youtu.be/g171ndOHgJ0) describing Spark Streaming.
diff --git a/.../apache/spark/mllib/examples/JavaALS.java → .../apache/spark/examples/mllib/JavaALS.java b/.../apache/spark/mllib/examples/JavaALS.java → .../apache/spark/examples/mllib/JavaALS.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.mllib.examples;
+package org.apache.spark.examples.mllib;
 
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;

diff --git a/...ache/spark/mllib/examples/JavaKMeans.java → ...ache/spark/examples/mllib/JavaKMeans.java b/...ache/spark/mllib/examples/JavaKMeans.java → ...ache/spark/examples/mllib/JavaKMeans.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.mllib.examples;
+package org.apache.spark.examples.mllib;
 
 import java.util.regex.Pattern;
 

diff --git a/...g/apache/spark/mllib/examples/JavaLR.java → ...g/apache/spark/examples/mllib/JavaLR.java b/...g/apache/spark/mllib/examples/JavaLR.java → ...g/apache/spark/examples/mllib/JavaLR.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.mllib.examples;
+package org.apache.spark.examples.mllib;
 
 import java.util.regex.Pattern;
 

diff --git a/...reaming/examples/JavaFlumeEventCount.java → ...amples/streaming/JavaFlumeEventCount.java b/...reaming/examples/JavaFlumeEventCount.java → ...amples/streaming/JavaFlumeEventCount.java
@@ -15,9 +15,10 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples;
+package org.apache.spark.examples.streaming;
 
 import org.apache.spark.api.java.function.Function;
+import org.apache.spark.examples.streaming.StreamingExamples;
 import org.apache.spark.streaming.*;
 import org.apache.spark.streaming.api.java.*;
 import org.apache.spark.streaming.flume.FlumeUtils;

diff --git a/...treaming/examples/JavaKafkaWordCount.java → ...xamples/streaming/JavaKafkaWordCount.java b/...treaming/examples/JavaKafkaWordCount.java → ...xamples/streaming/JavaKafkaWordCount.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples;
+package org.apache.spark.examples.streaming;
 
 import java.util.Map;
 import java.util.HashMap;
@@ -26,6 +26,7 @@
 import org.apache.spark.api.java.function.Function;
 import org.apache.spark.api.java.function.Function2;
 import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.examples.streaming.StreamingExamples;
 import org.apache.spark.streaming.Duration;
 import org.apache.spark.streaming.api.java.JavaDStream;
 import org.apache.spark.streaming.api.java.JavaPairDStream;
@@ -44,7 +45,7 @@
  *   <numThreads> is the number of threads the kafka consumer should use
  *
  * Example:
- *    `./bin/run-example org.apache.spark.streaming.examples.JavaKafkaWordCount local[2] zoo01,zoo02,
+ *    `./bin/run-example org.apache.spark.examples.streaming.JavaKafkaWordCount local[2] zoo01,zoo02,
  *    zoo03 my-consumer-group topic1,topic2 1`
  */
 

diff --git a/...eaming/examples/JavaNetworkWordCount.java → ...mples/streaming/JavaNetworkWordCount.java b/...eaming/examples/JavaNetworkWordCount.java → ...mples/streaming/JavaNetworkWordCount.java
@@ -15,14 +15,15 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples;
+package org.apache.spark.examples.streaming;
 
 import com.google.common.collect.Lists;
 import org.apache.spark.streaming.api.java.JavaReceiverInputDStream;
 import scala.Tuple2;
 import org.apache.spark.api.java.function.FlatMapFunction;
 import org.apache.spark.api.java.function.Function2;
 import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.examples.streaming.StreamingExamples;
 import org.apache.spark.streaming.Duration;
 import org.apache.spark.streaming.api.java.JavaDStream;
 import org.apache.spark.streaming.api.java.JavaPairDStream;
@@ -39,7 +40,7 @@
  * To run this on your local machine, you need to first run a Netcat server
  *    `$ nc -lk 9999`
  * and then run the example
- *    `$ ./run org.apache.spark.streaming.examples.JavaNetworkWordCount local[2] localhost 9999`
+ *    `$ ./run org.apache.spark.examples.streaming.JavaNetworkWordCount local[2] localhost 9999`
  */
 public final class JavaNetworkWordCount {
   private static final Pattern SPACE = Pattern.compile(" ");

diff --git a/...k/streaming/examples/JavaQueueStream.java → ...k/examples/streaming/JavaQueueStream.java b/...k/streaming/examples/JavaQueueStream.java → ...k/examples/streaming/JavaQueueStream.java
@@ -15,13 +15,14 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples;
+package org.apache.spark.examples.streaming;
 
 import com.google.common.collect.Lists;
 import scala.Tuple2;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.function.Function2;
 import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.examples.streaming.StreamingExamples;
 import org.apache.spark.streaming.Duration;
 import org.apache.spark.streaming.api.java.JavaDStream;
 import org.apache.spark.streaming.api.java.JavaPairDStream;

diff --git a/python/examples/als.py → examples/src/main/python/als.py b/python/examples/als.py → examples/src/main/python/als.py
diff --git a/python/examples/kmeans.py → examples/src/main/python/kmeans.py b/python/examples/kmeans.py → examples/src/main/python/kmeans.py
@@ -18,7 +18,7 @@
 """
 The K-means algorithm written from scratch against PySpark. In practice,
 one may prefer to use the KMeans algorithm in MLlib, as shown in
-python/examples/mllib/kmeans.py.
+examples/src/main/python/mllib/kmeans.py.
 
 This example requires NumPy (http://www.numpy.org/).
 """

diff --git a/python/examples/logistic_regression.py → ...es/src/main/python/logistic_regression.py b/python/examples/logistic_regression.py → ...es/src/main/python/logistic_regression.py
@@ -20,7 +20,7 @@
 to act on batches of input data using efficient matrix operations.
 
 In practice, one may prefer to use the LogisticRegression algorithm in
-MLlib, as shown in python/examples/mllib/logistic_regression.py.
+MLlib, as shown in examples/src/main/python/mllib/logistic_regression.py.
 """
 
 from collections import namedtuple

diff --git a/python/examples/mllib/kmeans.py → examples/src/main/python/mllib/kmeans.py b/python/examples/mllib/kmeans.py → examples/src/main/python/mllib/kmeans.py
diff --git a/python/examples/mllib/logistic_regression.py → .../main/python/mllib/logistic_regression.py b/python/examples/mllib/logistic_regression.py → .../main/python/mllib/logistic_regression.py
diff --git a/python/examples/pagerank.py → examples/src/main/python/pagerank.py b/python/examples/pagerank.py → examples/src/main/python/pagerank.py
diff --git a/python/examples/pi.py → examples/src/main/python/pi.py b/python/examples/pi.py → examples/src/main/python/pi.py
diff --git a/python/examples/sort.py → examples/src/main/python/sort.py b/python/examples/sort.py → examples/src/main/python/sort.py
diff --git a/python/examples/transitive_closure.py → ...les/src/main/python/transitive_closure.py b/python/examples/transitive_closure.py → ...les/src/main/python/transitive_closure.py
diff --git a/python/examples/wordcount.py → examples/src/main/python/wordcount.py b/python/examples/wordcount.py → examples/src/main/python/wordcount.py
diff --git a/...ache/spark/sql/examples/RDDRelation.scala → ...ache/spark/examples/sql/RDDRelation.scala b/...ache/spark/sql/examples/RDDRelation.scala → ...ache/spark/examples/sql/RDDRelation.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql.examples
+package org.apache.spark.examples.sql
 
 import org.apache.spark.SparkContext
 import org.apache.spark.sql.SQLContext

diff --git a/...he/spark/sql/examples/HiveFromSpark.scala → ...ark/examples/sql/hive/HiveFromSpark.scala b/...he/spark/sql/examples/HiveFromSpark.scala → ...ark/examples/sql/hive/HiveFromSpark.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.sql.hive.examples
+package org.apache.spark.examples.sql.hive
 
 import org.apache.spark.SparkContext
 import org.apache.spark.sql._

diff --git a/...k/streaming/examples/ActorWordCount.scala → ...k/examples/streaming/ActorWordCount.scala b/...k/streaming/examples/ActorWordCount.scala → ...k/examples/streaming/ActorWordCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import scala.collection.mutable.LinkedList
 import scala.reflect.ClassTag
@@ -78,7 +78,7 @@ class FeederActor extends Actor {
  * goes and subscribe to a typical publisher/feeder actor and receives
  * data.
  *
- * @see [[org.apache.spark.streaming.examples.FeederActor]]
+ * @see [[org.apache.spark.examples.streaming.FeederActor]]
  */
 class SampleActorReceiver[T: ClassTag](urlOfPublisher: String)
 extends Actor with ActorHelper {
@@ -131,9 +131,9 @@ object FeederActor {
  *   <hostname> and <port> describe the AkkaSystem that Spark Sample feeder is running on.
  *
  * To run this example locally, you may run Feeder Actor as
- *    `$ ./bin/run-example org.apache.spark.streaming.examples.FeederActor 127.0.1.1 9999`
+ *    `$ ./bin/run-example org.apache.spark.examples.streaming.FeederActor 127.0.1.1 9999`
  * and then run the example
- *    `./bin/run-example org.apache.spark.streaming.examples.ActorWordCount local[2] 127.0.1.1 9999`
+ *    `./bin/run-example org.apache.spark.examples.streaming.ActorWordCount local[2] 127.0.1.1 9999`
  */
 object ActorWordCount {
   def main(args: Array[String]) {

diff --git a/.../streaming/examples/FlumeEventCount.scala → .../examples/streaming/FlumeEventCount.scala b/.../streaming/examples/FlumeEventCount.scala → .../examples/streaming/FlumeEventCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import org.apache.spark.storage.StorageLevel
 import org.apache.spark.streaming._

diff --git a/...rk/streaming/examples/HdfsWordCount.scala → ...rk/examples/streaming/HdfsWordCount.scala b/...rk/streaming/examples/HdfsWordCount.scala → ...rk/examples/streaming/HdfsWordCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import org.apache.spark.streaming.{Seconds, StreamingContext}
 import org.apache.spark.streaming.StreamingContext._
@@ -27,7 +27,7 @@ import org.apache.spark.streaming.StreamingContext._
  *   <directory> is the directory that Spark Streaming will use to find and read new text files.
  *
  * To run this on your local machine on directory `localdir`, run this example
- *    `$ ./bin/run-example org.apache.spark.streaming.examples.HdfsWordCount local[2] localdir`
+ *    `$ ./bin/run-example org.apache.spark.examples.streaming.HdfsWordCount local[2] localdir`
  * Then create a text file in `localdir` and the words in the file will get counted.
  */
 object HdfsWordCount {

diff --git a/...k/streaming/examples/KafkaWordCount.scala → ...k/examples/streaming/KafkaWordCount.scala b/...k/streaming/examples/KafkaWordCount.scala → ...k/examples/streaming/KafkaWordCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import java.util.Properties
 
@@ -24,7 +24,6 @@ import kafka.producer._
 import org.apache.spark.streaming._
 import org.apache.spark.streaming.StreamingContext._
 import org.apache.spark.streaming.kafka._
-import org.apache.spark.streaming.util.RawTextHelper._
 
 // scalastyle:off
 /**
@@ -37,7 +36,7 @@ import org.apache.spark.streaming.util.RawTextHelper._
  *   <numThreads> is the number of threads the kafka consumer should use
  *
  * Example:
- *    `./bin/run-example org.apache.spark.streaming.examples.KafkaWordCount local[2] zoo01,zoo02,zoo03 my-consumer-group topic1,topic2 1`
+ *    `./bin/run-example org.apache.spark.examples.streaming.KafkaWordCount local[2] zoo01,zoo02,zoo03 my-consumer-group topic1,topic2 1`
  */
 // scalastyle:on
 object KafkaWordCount {
@@ -59,7 +58,7 @@ object KafkaWordCount {
     val lines = KafkaUtils.createStream(ssc, zkQuorum, group, topicpMap).map(_._2)
     val words = lines.flatMap(_.split(" "))
     val wordCounts = words.map(x => (x, 1L))
-      .reduceByKeyAndWindow(add _, subtract _, Minutes(10), Seconds(2), 2)
+      .reduceByKeyAndWindow(_ + _, _ - _, Minutes(10), Seconds(2), 2)
     wordCounts.print()
 
     ssc.start()

diff --git a/...rk/streaming/examples/MQTTWordCount.scala → ...rk/examples/streaming/MQTTWordCount.scala b/...rk/streaming/examples/MQTTWordCount.scala → ...rk/examples/streaming/MQTTWordCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import org.eclipse.paho.client.mqttv3.{MqttClient, MqttClientPersistence, MqttException, MqttMessage, MqttTopic}
 import org.eclipse.paho.client.mqttv3.persist.MqttDefaultFilePersistence
@@ -79,9 +79,9 @@ object MQTTPublisher {
  *   <MqttbrokerUrl> and <topic> describe where Mqtt publisher is running.
  *
  * To run this example locally, you may run publisher as
- *    `$ ./bin/run-example org.apache.spark.streaming.examples.MQTTPublisher tcp://localhost:1883 foo`
+ *    `$ ./bin/run-example org.apache.spark.examples.streaming.MQTTPublisher tcp://localhost:1883 foo`
  * and run the example as
- *    `$ ./bin/run-example org.apache.spark.streaming.examples.MQTTWordCount local[2] tcp://localhost:1883 foo`
+ *    `$ ./bin/run-example org.apache.spark.examples.streaming.MQTTWordCount local[2] tcp://localhost:1883 foo`
  */
 // scalastyle:on
 object MQTTWordCount {

diff --git a/...streaming/examples/NetworkWordCount.scala → ...examples/streaming/NetworkWordCount.scala b/...streaming/examples/NetworkWordCount.scala → ...examples/streaming/NetworkWordCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import org.apache.spark.streaming.{Seconds, StreamingContext}
 import org.apache.spark.streaming.StreamingContext._
@@ -32,7 +32,7 @@ import org.apache.spark.storage.StorageLevel
  * To run this on your local machine, you need to first run a Netcat server
  *    `$ nc -lk 9999`
  * and then run the example
- *    `$ ./bin/run-example org.apache.spark.streaming.examples.NetworkWordCount local[2] localhost 9999`
+ *    `$ ./bin/run-example org.apache.spark.examples.streaming.NetworkWordCount local[2] localhost 9999`
  */
 // scalastyle:on
 object NetworkWordCount {

diff --git a/...park/streaming/examples/QueueStream.scala → ...park/examples/streaming/QueueStream.scala b/...park/streaming/examples/QueueStream.scala → ...park/examples/streaming/QueueStream.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package org.apache.spark.streaming.examples
+package org.apache.spark.examples.streaming
 
 import scala.collection.mutable.SynchronizedQueue