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perf: Memoize the common_bootstrap_payload and include user param (#21018) #21439
perf: Memoize the common_bootstrap_payload and include user param (#21018) #21439
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Try patch Co-authored-by: Bogdan Kyryliuk <bogdankyryliuk@dropbox.com>
Codecov Report
@@ Coverage Diff @@
## master #21439 +/- ##
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- Coverage 66.53% 55.26% -11.28%
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Files 1791 1791
Lines 68599 68602 +3
Branches 7320 7320
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- Hits 45645 37911 -7734
- Misses 21064 28801 +7737
Partials 1890 1890
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LGTM and tested to work as expected. I'd love to see all instances of @superset.utils.memoized.memoized
replaced with @cache_manager.cache.memoize(timeout=x)
(we could have constants for slow, medium and long lived timouts) to ensure we don't leak memory on memoized methods that get called with very diverse parameters.
def common_bootstrap_payload() -> Dict[str, Any]: | ||
"""Common data always sent to the client""" | ||
@cache_manager.cache.memoize(timeout=60) | ||
def common_bootstrap_payload(user: User) -> Dict[str, Any]: |
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I checked the docs, and while they appear to recommend not using mutable objects as the key, it should work in this case as __repr__()
will always return the same value for a single user.
Memoization docs: https://flask-caching.readthedocs.io/en/latest/#memoization
…ache#21018) (apache#21439) Co-authored-by: Bogdan Kyryliuk <bogdankyryliuk@dropbox.com>
Try 2 on: #21018
Includes small refactoring of the
common_bootstrap_payload
that passes user object to the function.SUMMARY
Memoize the common_bootstrap_payload. The function includes the config settings and the feature flags, those tend to be changed in frequently, this PR adds caching layer with 1 minute TTL. In our staging deployment it yields 10x speedup e.g. 22 ms down from ~250 ms
BEFORE
Screen Shot 2022-08-05 at 10 17 57 AM
AFTER
image
TESTING INSTRUCTIONS
[x] CI