diff --git a/dev/mima b/dev/mima
index b68800d6d01730d00455c474a0af0eaf4bd3d7f0..7857294f61cafcb6a65731d8111f5dc345789e8a 100755
--- a/dev/mima
+++ b/dev/mima
@@ -18,6 +18,7 @@
 #
 
 set -o pipefail
+set -e
 
 # Go to the Spark project root directory
 FWDIR="$(cd `dirname $0`/..; pwd)"
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index 042fdfcc47261d73b08a1dd56472394c5c206cac..af620d61607fa69d348931a1437902c8c49f2cd4 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -36,6 +36,8 @@ object MimaExcludes {
         case v if v.startsWith("1.1") =>
           Seq(MimaBuild.excludeSparkPackage("graphx")) ++
           Seq(
+            // Adding new method to JavaRDLike trait - we should probably mark this as a developer API.
+            ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.partitions"),
             // We made a mistake earlier (ed06500d3) in the Java API to use default parameter values
             // for countApproxDistinct* functions, which does not work in Java. We later removed
             // them, and use the following to tell Mima to not care about them.