Github user srowen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12309#discussion_r62015242
  
    --- Diff: core/src/main/scala/org/apache/spark/rdd/PipedRDD.scala ---
    @@ -45,7 +47,8 @@ private[spark] class PipedRDD[T: ClassTag](
         envVars: Map[String, String],
         printPipeContext: (String => Unit) => Unit,
         printRDDElement: (T, String => Unit) => Unit,
    -    separateWorkingDir: Boolean)
    +    separateWorkingDir: Boolean,
    +    bufferSize: Int)
    --- End diff --
    
    This causes a MiMa failure. This could be resolved with a default value for 
this arg; normally that would be essential although we could also just exclude 
the failure on the missing old method signature. I don't have a strong feeling 
but suppose it makes sense to have a default value?
    
    ```
    [error]  * method 
pipe(scala.collection.Seq,scala.collection.Map,scala.Function1,scala.Function2,Boolean)org.apache.spark.rdd.RDD
 in class org.apache.spark.rdd.RDD does not have a correspondent in current 
version
    [error]    filter with: 
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.rdd.RDD.pipe")
    [error]  * method 
pipe(java.util.List,java.util.Map,Boolean,Int)org.apache.spark.api.java.JavaRDD 
in trait org.apache.spark.api.java.JavaRDDLike is present only in current 
version
    [error]    filter with: 
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.api.java.JavaRDDLike.pipe")
    [info] spark-mllib: found 0 potential binary incompatibilities while 
checking against org.apache.spark:spark-mllib_2.11:1.6.0  (filtered 498)
    ```
    
    The other failure in JavaRDDLike can be excluded safely.


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