refactor: cache table metadata alongside snapshot time #636
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This ensures the cached `primary_keys` is more likely to be correct, in case the user called ALTER TABLE after we originally cached the snapshot time.
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chelsea-lin
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Apr 24, 2024
| cache: Dict[bigquery.TableReference, Tuple[datetime.datetime, bigquery.Table]], | ||
| use_cache: bool = True, | ||
| ) -> Tuple[datetime.datetime, bigquery.Table]: | ||
| cached_table = cache.get(table_ref) |
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nit: if use_cache=False, we can avoid looking through the cache, though the cache won't be too large and the looking is not too expensive.
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Good observation!
Python does dictionary lookups all the time, even for accessing attributes of objects, so I'm not too worried about it. Will leave as-is to avoid the extra nesting.
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This ensures the cached
primary_keysis more likely to be correct, in case the user called ALTER TABLE after we originally cached the snapshot time.Towards internal issue 335727141 and #631
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