Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/14579#discussion_r76189167 --- Diff: python/pyspark/rdd.py --- @@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx, jrdd_deserializer=AutoBatchedSerializer(PickleSeri self._id = jrdd.id() self.partitioner = None + def __enter__(self): --- End diff -- hmmm, yes this does happen to work, because most operations boil down to something like `mapPartitions` which creates a new `PipelineRDD` which is not cached, or a new `RDD` which is again not cached. I think it will work for `DataFrame` too for similar reason - most operations return a new `DataFrame` instance.
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