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[Named min timestamp leases] Add metric for number of locked timestamps #7406
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static NamedMinTimestampTracker create(String timestampName, TimestampLeaseMetrics metrics) { | ||
AtomicInteger numLocksHeld = new AtomicInteger(); | ||
metrics.locksHeld().name(timestampName).build(numLocksHeld::get); |
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I left comments on this in #7400. The writes are synchronized through the object's intrinsic lock, and the get under the hood is a volatile read. Should I just make this a volatile?
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Yeah I think that's right, go for it
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Please write a description - I know this PR is about metrics, but that metric section of the review does also cover some things to think about where it's worth explicitly saying that yes, this is fine.
Otherwise, some naming bits but generally looks reasonable.
docs: Number of locks held in timestamp trackers | ||
type: gauge | ||
tags: | ||
- name |
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nit: timestampName
or similar
Also, importantly, this means that we must not have a large number of timestamp names without breaking metrics infrastructure; how are we going to track that?
timestampLease: | ||
docs: Metrics tracking TimeLock's implementation of timestamp leases | ||
metrics: | ||
locksHeld: |
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Should trackers be aware of the concept of locks / is that an implementation detail? I'd be more inclined to say number of lease holders or similar...
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static NamedMinTimestampTracker create(String timestampName, TimestampLeaseMetrics metrics) { | ||
AtomicInteger numLocksHeld = new AtomicInteger(); | ||
metrics.locksHeld().name(timestampName).build(numLocksHeld::get); |
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Yeah I think that's right, go for it
General
Before this PR:
After this PR:
==COMMIT_MSG==
==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
@raiju