mf2199 commented on a change in pull request #8457: [BEAM-3342] Create a Cloud 
Bigtable IO connector for Python
URL: https://github.com/apache/beam/pull/8457#discussion_r410370076
 
 

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 File path: sdks/python/apache_beam/io/gcp/bigtableio_read_it_test.py
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 Review comment:
   So far it's been tested for tables containing up to 10^10 rows, which must 
be sufficient for most purposes. The read times increase roughly linearly with 
the table size. The total read times for 10^10 rows are just under 3 hours with 
a high degree of consistency. That is under maxed out parallelization for 
'us-central1', or 600 workers total. It seems quite possible to read even 
larger tables, as long as spending weeks, possibly months for such tests is not 
an issue.

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