diff --git a/core/src/main/scala/spark/RDD.scala b/core/src/main/scala/spark/RDD.scala index 223dcdc19d877a67c08f181b3fd9c5ecb9ecddf3..709271d4ebbdf3153b5505458e9313c3985291e9 100644 --- a/core/src/main/scala/spark/RDD.scala +++ b/core/src/main/scala/spark/RDD.scala @@ -368,13 +368,13 @@ abstract class RDD[T: ClassManifest]( * @param printPipeContext Before piping elements, this function is called as an oppotunity * to pipe context data. Print line function (like out.println) will be * passed as printPipeContext's parameter. - * @param printPipeContext Use this function to customize how to pipe elements. This function - * will be called with each RDD element as the 1st parameter, and the - * print line function (like out.println()) as the 2nd parameter. - * An example of pipe the RDD data of groupBy() in a streaming way, - * instead of constructing a huge String to concat all the elements: - * def printRDDElement(record:(String, Seq[String]), f:String=>Unit) = - * for (e <- record._2){f(e)} + * @param printRDDElement Use this function to customize how to pipe elements. This function + * will be called with each RDD element as the 1st parameter, and the + * print line function (like out.println()) as the 2nd parameter. + * An example of pipe the RDD data of groupBy() in a streaming way, + * instead of constructing a huge String to concat all the elements: + * def printRDDElement(record:(String, Seq[String]), f:String=>Unit) = + * for (e <- record._2){f(e)} * @return the result RDD */ def pipe( diff --git a/core/src/main/scala/spark/rdd/PipedRDD.scala b/core/src/main/scala/spark/rdd/PipedRDD.scala index b2c07891ab4153de5ff2b350c51ea18a1dd367c3..c0baf43d43eef2db143c7ee44bc04e5eef7726df 100644 --- a/core/src/main/scala/spark/rdd/PipedRDD.scala +++ b/core/src/main/scala/spark/rdd/PipedRDD.scala @@ -62,7 +62,7 @@ class PipedRDD[T: ClassManifest]( val out = new PrintWriter(proc.getOutputStream) // input the pipe context firstly - if ( printPipeContext != null) { + if (printPipeContext != null) { printPipeContext(out.println(_)) } for (elem <- firstParent[T].iterator(split, context)) {