wabu added the comment: Sorry for the confusion, yes i do the yield from. The stdout stream for the process is actually producing data as it should. The subprocess produces a high amount of data (pbzip2), but is only consumed slowly.
Normally when the buffer limit is reached for a stream reader, it calls pause_reading on the transport inside the feed_data method (see https://code.google.com/p/tulip/source/browse/asyncio/streams.py#365), but here this is not happening, as the returned reader has no transport set (p.stdout._transport == None). So it fills up all the memory. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue22685> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
