Github user WeichenXu123 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16576#discussion_r96112271
  
    --- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
    @@ -1539,6 +1539,13 @@ abstract class RDD[T: ClassTag](
         // NOTE: we use a global lock here due to complexities downstream with 
ensuring
         // children RDD partitions point to the correct parent partitions. In 
the future
         // we should revisit this consideration.
    +    if (doCheckpointCalled) {
    +      throw new SparkException("Because job has been executed on this RDD, 
checkpoint won't work")
    +    }
    +    if (storageLevel == StorageLevel.NONE) {
    +      logWarning("Call checkpoint on unpersisted RDD, it will cause RDD 
recomputation" +
    +        " when saving checkpoint files.")
    +    }
    --- End diff --
    
    en... your advice is reasonable!
    to sovle (a), I can move this warning into `doCheckpoint`, avoid the 
situation `RDD.persist` called later.
    about problem (b), how about change this warning into `logInfo` ?


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