ba24d1ee9a
With the addition of StreamExecution (ContinuousQuery) to Datasets, data will become unbounded. With unbounded data, the execution of some methods and operations will not make sense, e.g. `Dataset.count()`. A simple API is required to check whether the data in a Dataset is bounded or unbounded. This will allow users to check whether their Dataset is in streaming mode or not. ML algorithms may check if the data is unbounded and throw an exception for example. The implementation of this method is simple, however naming it is the challenge. Some possible names for this method are: - isStreaming - isContinuous - isBounded - isUnbounded I've gone with `isStreaming` for now. We can change it before Spark 2.0 if we decide to come up with a different name. For that reason I've marked it as `Experimental` Author: Burak Yavuz <brkyvz@gmail.com> Closes #12080 from brkyvz/is-streaming. |
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