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| author | Jacek Laskowski <jacek@japila.pl> | 2015-08-27 11:07:37 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2015-08-27 11:07:37 +0100 |
| commit | b02e8187225d1765f67ce38864dfaca487be8a44 (patch) | |
| tree | ff179d53153630faeecd65dc8823e806e3fba2cd | |
| parent | 1a446f75b6cac46caea0217a66abeb226946ac71 (diff) | |
| download | spark-b02e8187225d1765f67ce38864dfaca487be8a44.tar.gz spark-b02e8187225d1765f67ce38864dfaca487be8a44.tar.bz2 spark-b02e8187225d1765f67ce38864dfaca487be8a44.zip | |
[SPARK-9613] [HOTFIX] Fix usage of JavaConverters removed in Scala 2.11
Fix for [JavaConverters.asJavaListConverter](http://www.scala-lang.org/api/2.10.5/index.html#scala.collection.JavaConverters$) being removed in 2.11.7 and hence the build fails with the 2.11 profile enabled. Tested with the default 2.10 and 2.11 profiles. BUILD SUCCESS in both cases.
Build for 2.10:
./build/mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.1 -DskipTests clean install
and 2.11:
./dev/change-scala-version.sh 2.11
./build/mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.1 -Dscala-2.11 -DskipTests clean install
Author: Jacek Laskowski <jacek@japila.pl>
Closes #8479 from jaceklaskowski/SPARK-9613-hotfix.
| -rw-r--r-- | mllib/src/test/java/org/apache/spark/ml/classification/JavaOneVsRestSuite.java | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/mllib/src/test/java/org/apache/spark/ml/classification/JavaOneVsRestSuite.java b/mllib/src/test/java/org/apache/spark/ml/classification/JavaOneVsRestSuite.java index 2744e020e9..253cabf013 100644 --- a/mllib/src/test/java/org/apache/spark/ml/classification/JavaOneVsRestSuite.java +++ b/mllib/src/test/java/org/apache/spark/ml/classification/JavaOneVsRestSuite.java @@ -55,7 +55,7 @@ public class JavaOneVsRestSuite implements Serializable { double[] xMean = {5.843, 3.057, 3.758, 1.199}; double[] xVariance = {0.6856, 0.1899, 3.116, 0.581}; - List<LabeledPoint> points = JavaConverters.asJavaListConverter( + List<LabeledPoint> points = JavaConverters.seqAsJavaListConverter( generateMultinomialLogisticInput(weights, xMean, xVariance, true, nPoints, 42) ).asJava(); datasetRDD = jsc.parallelize(points, 2); |