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Copilot AI commented Oct 23, 2025

Problem

Job.schedule() would randomly fail to reschedule a job after cancel() was called, leaving the job in NONE state instead of properly scheduling it. This manifested as a timing-sensitive bug where jobs would simply stop executing after a cancel/schedule sequence.

Root Cause

The issue occurred in JobManager.scheduleInternal() when the following sequence of events happened:

  1. A job is running
  2. User calls cancel() → sets aboutToRunCanceled = true (to prevent the job from starting if not yet running)
  3. User calls schedule() → since job is still running, marks it for reschedule but doesn't clear the flag
  4. Job finishes and endJob() calls scheduleInternal(job, delay, reschedule=true)
  5. Bug: The aboutToRunCanceled flag was only cleared when reschedule=false
  6. doSchedule() sees the flag is still true and cancels the job instead of scheduling it

The condition if (!reschedule) before clearing the flag prevented proper rescheduling in this scenario.

Solution

The fix moves the job.setAboutToRunCanceled(false) call to execute after the early returns (when job is already running or not in NONE state) and before actually scheduling the job. This ensures:

  • The flag is cleared only when we're actually going to schedule the job
  • Any explicit schedule() call overrides any previous cancel() call
  • The flag doesn't persist incorrectly across scheduling attempts
// Before: conditional clearing
if (!reschedule) {
    job.setAboutToRunCanceled(false);
}

// After: unconditional clearing when actually scheduling
if (job.getState() == Job.RUNNING) {
    return false; // early return
}
if (job.internalGetState() != Job.NONE) {
    return false; // early return
}
job.setAboutToRunCanceled(false); // always clear before scheduling

Testing

Added regression test Bug_550738.testCancelThenScheduleWhileRunning() that reliably reproduces the issue:

  • Runs 100 iterations to catch the timing-sensitive bug
  • Each iteration: starts a job, calls cancel(), immediately calls schedule(), and verifies the job reschedules correctly

Without the fix, this test fails when the job incorrectly stays in NONE state. With the fix, it passes consistently.

Impact

Closes eclipse-platform#160

Warning

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Original prompt

Analyze the problem of eclipse-platform#160 and propose a fix


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@laeubi
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laeubi commented Oct 23, 2025

FYI @basilevs

Copilot AI and others added 2 commits October 23, 2025 09:28
The aboutToRunCanceled flag was not being cleared when reschedule=true,
causing jobs to be canceled instead of scheduled. This fix moves the
flag clearing to after the early returns, ensuring it's always cleared
when actually scheduling the job.

Fixes eclipse-platform#160

Co-authored-by: laeubi <[email protected]>
Test verifies that Job.schedule() works correctly after cancel()
when called on a running job. This reproduces the issue where
the aboutToRunCanceled flag was not being cleared during reschedule.

Co-authored-by: laeubi <[email protected]>
Copilot AI changed the title [WIP] Analyze issue 160 and propose a fix Fix Job.schedule() not rescheduling after cancel() when called on running job Oct 23, 2025
Copilot AI requested a review from laeubi October 23, 2025 09:34
Copilot finished work on behalf of laeubi October 23, 2025 09:34
@basilevs
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The test adaptation looks correct.

@laeubi
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laeubi commented Oct 23, 2025

The test adaptation looks correct.

What about the proposed fix?

@basilevs
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The test adaptation looks correct.

What about the proposed fix?

I'm not qualified to judge that.

@laeubi
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laeubi commented Oct 23, 2025

The test adaptation looks correct.

What about the proposed fix?

I'm not qualified to judge that.

You might want to try it out for your use case though :-)

@basilevs
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basilevs commented Oct 23, 2025

The test adaptation looks correct.

What about the proposed fix?

I'm not qualified to judge that.

You might want to try it out for your use case though :-)

My usecase is RCPTT imitating user waiting for background activity to complete. It requires a full Platform build to verify (or at least an update site with the fix). I can't produce one locally (development environment breaks on every Eclipse release and takes many hours to deploy from scratch - I could not even prepare a PR with the enhanced test).

I'll try to read into the fix deeper, cross-referencing my fix from 2019.

@laeubi
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laeubi commented Oct 23, 2025

The easiest is to go into this single module change the version in the manifest and call mvn clean package... then you get a jar you can deploy anywhere in your usual RCP setup e.g. add it as a Directory location in your target platform.

Thats not completely convenient but doable for smaller changes.

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Job.schedule() randomly sometimes not rescheduling

3 participants