diff options
Diffstat (limited to 'examples/src')
5 files changed, 17 insertions, 17 deletions
diff --git a/examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java b/examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java index 8abc03e73d..ebb0687b14 100644 --- a/examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java +++ b/examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java @@ -82,10 +82,10 @@ public final class JavaLogQuery { String user = m.group(3); String query = m.group(5); if (!user.equalsIgnoreCase("-")) { - return new Tuple3<String, String, String>(ip, user, query); + return new Tuple3<>(ip, user, query); } } - return new Tuple3<String, String, String>(null, null, null); + return new Tuple3<>(null, null, null); } public static Stats extractStats(String line) { diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaMultiLabelClassificationMetricsExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaMultiLabelClassificationMetricsExample.java index 5904260e2d..bc99dc023f 100644 --- a/examples/src/main/java/org/apache/spark/examples/mllib/JavaMultiLabelClassificationMetricsExample.java +++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaMultiLabelClassificationMetricsExample.java @@ -34,13 +34,13 @@ public class JavaMultiLabelClassificationMetricsExample { JavaSparkContext sc = new JavaSparkContext(conf); // $example on$ List<Tuple2<double[], double[]>> data = Arrays.asList( - new Tuple2<double[], double[]>(new double[]{0.0, 1.0}, new double[]{0.0, 2.0}), - new Tuple2<double[], double[]>(new double[]{0.0, 2.0}, new double[]{0.0, 1.0}), - new Tuple2<double[], double[]>(new double[]{}, new double[]{0.0}), - new Tuple2<double[], double[]>(new double[]{2.0}, new double[]{2.0}), - new Tuple2<double[], double[]>(new double[]{2.0, 0.0}, new double[]{2.0, 0.0}), - new Tuple2<double[], double[]>(new double[]{0.0, 1.0, 2.0}, new double[]{0.0, 1.0}), - new Tuple2<double[], double[]>(new double[]{1.0}, new double[]{1.0, 2.0}) + new Tuple2<>(new double[]{0.0, 1.0}, new double[]{0.0, 2.0}), + new Tuple2<>(new double[]{0.0, 2.0}, new double[]{0.0, 1.0}), + new Tuple2<>(new double[]{}, new double[]{0.0}), + new Tuple2<>(new double[]{2.0}, new double[]{2.0}), + new Tuple2<>(new double[]{2.0, 0.0}, new double[]{2.0, 0.0}), + new Tuple2<>(new double[]{0.0, 1.0, 2.0}, new double[]{0.0, 1.0}), + new Tuple2<>(new double[]{1.0}, new double[]{1.0, 2.0}) ); JavaRDD<Tuple2<double[], double[]>> scoreAndLabels = sc.parallelize(data); diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaPowerIterationClusteringExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaPowerIterationClusteringExample.java index b62fa90c34..91c3bd72da 100644 --- a/examples/src/main/java/org/apache/spark/examples/mllib/JavaPowerIterationClusteringExample.java +++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaPowerIterationClusteringExample.java @@ -40,11 +40,11 @@ public class JavaPowerIterationClusteringExample { @SuppressWarnings("unchecked") // $example on$ JavaRDD<Tuple3<Long, Long, Double>> similarities = sc.parallelize(Lists.newArrayList( - new Tuple3<Long, Long, Double>(0L, 1L, 0.9), - new Tuple3<Long, Long, Double>(1L, 2L, 0.9), - new Tuple3<Long, Long, Double>(2L, 3L, 0.9), - new Tuple3<Long, Long, Double>(3L, 4L, 0.1), - new Tuple3<Long, Long, Double>(4L, 5L, 0.9))); + new Tuple3<>(0L, 1L, 0.9), + new Tuple3<>(1L, 2L, 0.9), + new Tuple3<>(2L, 3L, 0.9), + new Tuple3<>(3L, 4L, 0.1), + new Tuple3<>(4L, 5L, 0.9))); PowerIterationClustering pic = new PowerIterationClustering() .setK(2) diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaStratifiedSamplingExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaStratifiedSamplingExample.java index c27fba2783..86c389e11c 100644 --- a/examples/src/main/java/org/apache/spark/examples/mllib/JavaStratifiedSamplingExample.java +++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaStratifiedSamplingExample.java @@ -36,7 +36,7 @@ public class JavaStratifiedSamplingExample { JavaSparkContext jsc = new JavaSparkContext(conf); // $example on$ - List<Tuple2<Integer, Character>> list = new ArrayList<Tuple2<Integer, Character>>( + List<Tuple2<Integer, Character>> list = new ArrayList<>( Arrays.<Tuple2<Integer, Character>>asList( new Tuple2(1, 'a'), new Tuple2(1, 'b'), diff --git a/examples/src/main/java/org/apache/spark/examples/streaming/JavaFlumeEventCount.java b/examples/src/main/java/org/apache/spark/examples/streaming/JavaFlumeEventCount.java index da56637fe8..bae4b78ac2 100644 --- a/examples/src/main/java/org/apache/spark/examples/streaming/JavaFlumeEventCount.java +++ b/examples/src/main/java/org/apache/spark/examples/streaming/JavaFlumeEventCount.java @@ -19,7 +19,6 @@ package org.apache.spark.examples.streaming; import org.apache.spark.SparkConf; 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; @@ -58,7 +57,8 @@ public final class JavaFlumeEventCount { Duration batchInterval = new Duration(2000); SparkConf sparkConf = new SparkConf().setAppName("JavaFlumeEventCount"); JavaStreamingContext ssc = new JavaStreamingContext(sparkConf, batchInterval); - JavaReceiverInputDStream<SparkFlumeEvent> flumeStream = FlumeUtils.createStream(ssc, host, port); + JavaReceiverInputDStream<SparkFlumeEvent> flumeStream = + FlumeUtils.createStream(ssc, host, port); flumeStream.count(); |