rohdesamuel commented on a change in pull request #14778:
URL: https://github.com/apache/beam/pull/14778#discussion_r631355891
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File path: sdks/python/apache_beam/runners/interactive/recording_manager.py
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@@ -298,8 +298,12 @@ def _watch(self, pcolls):
watched_pcollections.add(val)
elif isinstance(val, DeferredBase):
watched_dataframes.add(val)
- # Convert them all in a single step for efficiency.
- for pcoll in to_pcollection(*watched_dataframes, always_return_tuple=True):
+
+ # Convert them one-by-one to generate a unique label for each. This allows
+ # caching at a more fine-grained granularity.
+ for df in watched_dataframes:
+ pcoll = to_pcollection(
+ df, yield_elements='pandas', label=str(id(df._expr._id)))
Review comment:
Right, I found that the default label generated from to_pcollection
wasn't unique enough for notebooks. If you take a look at the
InteractiveRunnerTest.test_dataframes_same_cell_twice test, then you can see
that the default label is the same for both df['square'] and df['cube']. I can
take a look in the _var_name method, maybe something wrong is there.
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