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-rw-r--r--core/src/main/scala/spark/SequenceFileRDDFunctions.scala8
-rw-r--r--project/SparkBuild.scala2
2 files changed, 8 insertions, 2 deletions
diff --git a/core/src/main/scala/spark/SequenceFileRDDFunctions.scala b/core/src/main/scala/spark/SequenceFileRDDFunctions.scala
index a34aee69c1..6b4a11d6d3 100644
--- a/core/src/main/scala/spark/SequenceFileRDDFunctions.scala
+++ b/core/src/main/scala/spark/SequenceFileRDDFunctions.scala
@@ -42,7 +42,13 @@ class SequenceFileRDDFunctions[K <% Writable: ClassManifest, V <% Writable : Cla
if (classOf[Writable].isAssignableFrom(classManifest[T].erasure)) {
classManifest[T].erasure
} else {
- implicitly[T => Writable].getClass.getMethods()(0).getReturnType
+ // We get the type of the Writable class by looking at the apply method which converts
+ // from T to Writable. Since we have two apply methods we filter out the one which
+ // is of the form "java.lang.Object apply(java.lang.Object)"
+ implicitly[T => Writable].getClass.getDeclaredMethods().filter(
+ m => m.getReturnType().toString != "java.lang.Object" &&
+ m.getName() == "apply")(0).getReturnType
+
}
// TODO: use something like WritableConverter to avoid reflection
}
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 842d0fa96b..7c7c33131a 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -10,7 +10,7 @@ import twirl.sbt.TwirlPlugin._
object SparkBuild extends Build {
// Hadoop version to build against. For example, "0.20.2", "0.20.205.0", or
// "1.0.3" for Apache releases, or "0.20.2-cdh3u5" for Cloudera Hadoop.
- val HADOOP_VERSION = "0.20.205.0"
+ val HADOOP_VERSION = "1.0.3"
val HADOOP_MAJOR_VERSION = "1"
// For Hadoop 2 versions such as "2.0.0-mr1-cdh4.1.1", set the HADOOP_MAJOR_VERSION to "2"