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Reduce allocations in VersionedEventStore#retentionEvents #7118
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Thanks, this change makes sense! I have one concern around how we're doing removal (existing already does have this problem though, if it is real)
.limit(numToRetention) | ||
.forEachOrdered(entry -> { | ||
.map(entry -> { | ||
eventMap.remove(entry.getKey()); |
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It looks like the original implementation also did this, but this arrangement of removing from the map seems worrying in terms of non-interference, especially since the entrySet()
contract suggests that we shouldn't edit the map?
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We can revert this portion if desired.
eventMap
is a ConcurrentSkipListMap
whose entrySet() iterator/stream
is weakly consistent. We can safely remove as we traverse the events to retention.
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I'd prefer to keep this as a stream as it avoid some of the Object[]
allocations due to intermediate List
and the semantics are the same
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Makes sense, thanks for the reference to weakly consistent - I was aware of the general conventions, but indeed looks like they don't apply here! 👍
Failed to push a commit onto develop to move @unreleased changelogs
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General
Before this PR:
AtlasDB clients showing significant allocations of
Object[]
when constructingnew ArrayList<>(numToRetention)
inVersionedEventStore#retentionEvents
atlasdb/atlasdb-impl-shared/src/main/java/com/palantir/atlasdb/keyvalue/api/watch/VersionedEventStore.java
Lines 77 to 86 in 68ebc00
After this PR:
==COMMIT_MSG==
Reduce allocations in VersionedEventStore#retentionEvents
==COMMIT_MSG==
Priority:
Concerns / possible downsides (what feedback would you like?):
Is documentation needed?:
Compatibility
Does this PR create any API breaks (e.g. at the Java or HTTP layers) - if so, do we have compatibility?:
Does this PR change the persisted format of any data - if so, do we have forward and backward compatibility?:
The code in this PR may be part of a blue-green deploy. Can upgrades from previous versions safely coexist? (Consider restarts of blue or green nodes.):
Does this PR rely on statements being true about other products at a deployment - if so, do we have correct product dependencies on these products (or other ways of verifying that these statements are true)?:
Does this PR need a schema migration?
Testing and Correctness
What, if any, assumptions are made about the current state of the world? If they change over time, how will we find out?:
What was existing testing like? What have you done to improve it?:
If this PR contains complex concurrent or asynchronous code, is it correct? The onus is on the PR writer to demonstrate this.:
If this PR involves acquiring locks or other shared resources, how do we ensure that these are always released?:
Execution
How would I tell this PR works in production? (Metrics, logs, etc.):
Has the safety of all log arguments been decided correctly?:
Will this change significantly affect our spending on metrics or logs?:
How would I tell that this PR does not work in production? (monitors, etc.):
If this PR does not work as expected, how do I fix that state? Would rollback be straightforward?:
If the above plan is more complex than “recall and rollback”, please tag the support PoC here (if it is the end of the week, tag both the current and next PoC):
Scale
Would this PR be expected to pose a risk at scale? Think of the shopping product at our largest stack.:
Would this PR be expected to perform a large number of database calls, and/or expensive database calls (e.g., row range scans, concurrent CAS)?:
Would this PR ever, with time and scale, become the wrong thing to do - and if so, how would we know that we need to do something differently?:
Development Process
Where should we start reviewing?:
If this PR is in excess of 500 lines excluding versions lock-files, why does it not make sense to split it?:
Please tag any other people who should be aware of this PR:
@jeremyk-91
@sverma30
@raiju