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.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
