[SPARK-12615] Remove some deprecated APIs in RDD/SparkContext

I looked at each case individually and it looks like they can all be removed. The only one that I had to think twice was toArray (I even thought about un-deprecating it, until I realized it was a problem in Java to have toArray returning java.util.List).

Author: Reynold Xin <rxin@databricks.com>

Closes #10569 from rxin/SPARK-12615.

1 files changed, 6 insertions, 6 deletions

diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaBinaryClassificationMetricsExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaBinaryClassificationMetricsExample.java
index 980a9108af..779fac01c4 100644
--- a/examples/src/main/java/org/apache/spark/examples/mllib/JavaBinaryClassificationMetricsExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaBinaryClassificationMetricsExample.java
@@ -68,22 +68,22 @@ public class JavaBinaryClassificationMetricsExample {
 
     // Precision by threshold
     JavaRDD<Tuple2<Object, Object>> precision = metrics.precisionByThreshold().toJavaRDD();
-    System.out.println("Precision by threshold: " + precision.toArray());
+    System.out.println("Precision by threshold: " + precision.collect());
 
     // Recall by threshold
     JavaRDD<Tuple2<Object, Object>> recall = metrics.recallByThreshold().toJavaRDD();
-    System.out.println("Recall by threshold: " + recall.toArray());
+    System.out.println("Recall by threshold: " + recall.collect());
 
     // F Score by threshold
     JavaRDD<Tuple2<Object, Object>> f1Score = metrics.fMeasureByThreshold().toJavaRDD();
-    System.out.println("F1 Score by threshold: " + f1Score.toArray());
+    System.out.println("F1 Score by threshold: " + f1Score.collect());
 
     JavaRDD<Tuple2<Object, Object>> f2Score = metrics.fMeasureByThreshold(2.0).toJavaRDD();
-    System.out.println("F2 Score by threshold: " + f2Score.toArray());
+    System.out.println("F2 Score by threshold: " + f2Score.collect());
 
     // Precision-recall curve
     JavaRDD<Tuple2<Object, Object>> prc = metrics.pr().toJavaRDD();
-    System.out.println("Precision-recall curve: " + prc.toArray());
+    System.out.println("Precision-recall curve: " + prc.collect());
 
     // Thresholds
     JavaRDD<Double> thresholds = precision.map(
@@ -96,7 +96,7 @@ public class JavaBinaryClassificationMetricsExample {
 
     // ROC Curve
     JavaRDD<Tuple2<Object, Object>> roc = metrics.roc().toJavaRDD();
-    System.out.println("ROC curve: " + roc.toArray());
+    System.out.println("ROC curve: " + roc.collect());
 
     // AUPRC
     System.out.println("Area under precision-recall curve = " + metrics.areaUnderPR());