viirya commented on issue #25751: [SPARK-29042][Core] Sampling-based RDD with unordered input should be INDETERMINATE URL: https://github.com/apache/spark/pull/25751#issuecomment-530879739 It is a problem in ML applications. In ML, sample is used to prepare training data. ML algorithm fits the model based on the sampled data. If rerun tasks of sample produce different output during model fitting, ML results will be unreliable and also buggy. Each sample is random output, but once you sampled, the output should be determinate.
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