diff options
Diffstat (limited to 'examples')
3 files changed, 11 insertions, 11 deletions
diff --git a/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala b/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala index 32e02eab8b..75c82117cb 100644 --- a/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala +++ b/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala @@ -22,7 +22,7 @@ import org.apache.spark.SparkContext._ /** * Executes a roll up-style query against Apache logs. - * + * * Usage: LogQuery [logFile] */ object LogQuery { diff --git a/examples/src/main/scala/org/apache/spark/examples/mllib/DenseGaussianMixture.scala b/examples/src/main/scala/org/apache/spark/examples/mllib/DenseGaussianMixture.scala index 9a1aab036a..f8c71ccabc 100644 --- a/examples/src/main/scala/org/apache/spark/examples/mllib/DenseGaussianMixture.scala +++ b/examples/src/main/scala/org/apache/spark/examples/mllib/DenseGaussianMixture.scala @@ -41,22 +41,22 @@ object DenseGaussianMixture { private def run(inputFile: String, k: Int, convergenceTol: Double, maxIterations: Int) { val conf = new SparkConf().setAppName("Gaussian Mixture Model EM example") val ctx = new SparkContext(conf) - + val data = ctx.textFile(inputFile).map { line => Vectors.dense(line.trim.split(' ').map(_.toDouble)) }.cache() - + val clusters = new GaussianMixture() .setK(k) .setConvergenceTol(convergenceTol) .setMaxIterations(maxIterations) .run(data) - + for (i <- 0 until clusters.k) { - println("weight=%f\nmu=%s\nsigma=\n%s\n" format + println("weight=%f\nmu=%s\nsigma=\n%s\n" format (clusters.weights(i), clusters.gaussians(i).mu, clusters.gaussians(i).sigma)) } - + println("Cluster labels (first <= 100):") val clusterLabels = clusters.predict(data) clusterLabels.take(100).foreach { x => diff --git a/examples/src/main/scala/org/apache/spark/examples/streaming/MQTTWordCount.scala b/examples/src/main/scala/org/apache/spark/examples/streaming/MQTTWordCount.scala index b336751d81..813c8554f5 100644 --- a/examples/src/main/scala/org/apache/spark/examples/streaming/MQTTWordCount.scala +++ b/examples/src/main/scala/org/apache/spark/examples/streaming/MQTTWordCount.scala @@ -40,7 +40,7 @@ object MQTTPublisher { StreamingExamples.setStreamingLogLevels() val Seq(brokerUrl, topic) = args.toSeq - + var client: MqttClient = null try { @@ -59,10 +59,10 @@ object MQTTPublisher { println(s"Published data. topic: ${msgtopic.getName()}; Message: $message") } catch { case e: MqttException if e.getReasonCode == MqttException.REASON_CODE_MAX_INFLIGHT => - Thread.sleep(10) + Thread.sleep(10) println("Queue is full, wait for to consume data from the message queue") - } - } + } + } } catch { case e: MqttException => println("Exception Caught: " + e) } finally { @@ -107,7 +107,7 @@ object MQTTWordCount { val lines = MQTTUtils.createStream(ssc, brokerUrl, topic, StorageLevel.MEMORY_ONLY_SER_2) val words = lines.flatMap(x => x.split(" ")) val wordCounts = words.map(x => (x, 1)).reduceByKey(_ + _) - + wordCounts.print() ssc.start() ssc.awaitTermination() |