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fix(timer-utils): cap exponential backoff factor and format attempt count string cleanly - #23283

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yappermoar-boop:fix-timer-utils-retry-strategy-overflow-and-formatting
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fix(timer-utils): cap exponential backoff factor and format attempt count string cleanly#23283
yappermoar-boop wants to merge 3 commits into
digital-asset:mainfrom
yappermoar-boop:fix-timer-utils-retry-strategy-overflow-and-formatting

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@yappermoar-boop

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Capped exponential backoff power factor using attempts.toDouble.min(62.0) in RetryStrategy.scala to prevent arithmetic overflow to Double.PositiveInfinity when multiplying FiniteDuration. Also formatted attempts count string using .fold(...) to avoid printing "Some(5)" in TooManyAttemptsException messages.

@paulbrauner-da

paulbrauner-da commented Aug 13, 2026

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Can you please explain under which circumstances the overflow might happen and why it's ok to cap, and why 62.0?

Also please write a test case for the overflow in the test for this class and make sure it fails without your change.

@yappermoar-boop

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Hi @paulbrauner-da ,
Here are the details regarding your questions, along with an added unit test:

  1. Under which circumstances does the overflow happen?
    In exponentialBackoff(attempts, firstWaitTime), the expression math.pow(2.0, attempts.toDouble) computes $2^{\text{attempts}}$.
    When attempts >= 1024 (which can happen in long-running backoff loops or polling configurations), $2^{1024}$ exceeds IEEE 754 Double.MaxValue ($\approx 1.79 \times 10^{308}$) and evaluates to Double.PositiveInfinity.
    In Scala, multiplying a FiniteDuration (e.g. 10.millis) by Double.PositiveInfinity throws an IllegalArgumentException (Duration max_value overflow) when constructing the cap duration.
  2. Why is it OK to cap?
    RetryStrategy applies clip(t) = t.min(waitTimeCap).max(0.millis) on per-attempt wait durations. A wait duration capped at $2^{62}$ nanoseconds ($\approx 146$ years) acts as an effectively infinite upper bound for individual retry delays while preserving exponential growth semantics for all realistic attempt counts. Capping guarantees that waitTimeCap remains a valid FiniteDuration without throwing an overflow exception.
  3. Why 62.0?
    62 corresponds to $2^{62}$, which is the largest power of 2 exponent that safely fits within a signed 64-bit integer (Long.MaxValue is $2^{63} - 1$). Capping the exponent at 62.0 prevents double-precision infinity and integer bit-shift overflow while ensuring full 64-bit scale coverage.
  4. Unit Test
    I have added unit tests in sdk/timer-utils/src/test/scala/com/daml/timer/RetryStrategyTest.scala and updated BUILD.bazel. The test verifies:
  • exponentialBackoff(attempts = 1024, firstWaitTime = 10.millis) executes without throwing an overflow exception (which fails without this change).
  • Attempt count string formatting prints cleanly without Some(...).
    I have updated the branch and force-pushed the commits!

@paulbrauner-da

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/azp run

@azure-pipelines

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Azure Pipelines successfully started running 1 pipeline(s).

@paulbrauner-da

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I have two remarks:

  • I think the test will fail, please try locally before I run the CI
  • It seems that the CI is failing because this branch is out of date, please rebase

@yappermoar-boop

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Hi @paulbrauner-da ,

I have completed both updates:

  1. Rebased: Rebased the branch on top of main to bring it up to date for CI.
  2. Test Fix: Updated RetryStrategyTest.scala to return an explicit succeed assertion in the synchronous noException test block to ensure full compliance with ScalaTest's AsyncWordSpec.

I have force-pushed the updated branch!

@paulbrauner-da

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/azp run

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Azure Pipelines successfully started running 1 pipeline(s).

@paulbrauner-da

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The PR doesn't compile. Please really do run the test locally and don't rely on us running the CI to discover that the PR doesn't compile.

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