TheNeuralBit commented on a change in pull request #16066:
URL: https://github.com/apache/beam/pull/16066#discussion_r758675756
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File path: sdks/python/apache_beam/dataframe/io.py
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@@ -521,10 +535,15 @@ def create_tracker(self, restriction):
return beam.io.restriction_trackers.UnsplittableRestrictionTracker(
tracker)
- def process(self, readable_file, tracker=beam.DoFn.RestrictionParam()):
+ def process(
+ self, readable_file, path_indices, tracker=beam.DoFn.RestrictionParam()):
reader = self.reader
if isinstance(reader, str):
reader = getattr(pd, self.reader)
+ start_index = (
+ tracker.current_restriction().start +
+ path_indices[readable_file.metadata.path] *
+ 10**int(math.log(2**64 // len(path_indices), 10)))
Review comment:
That's assuming a reasonably uniform distribution of file sizes though.
Then again, millions of small files and a small number of TB-sized file is
probably an equally remote possibility.
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