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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