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replication/driver: simplify second-attempt step correlation code & fix statekeeping
Before this change, the step correlation code returned early in several cases: - did not set f.planning.done in the cases where it was a no-op - did not set f.planning.err in the cases where correlation did not succeed Reported-by: InsanePrawn <insane.prawny@gmail.com>
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parent
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@ -492,57 +492,37 @@ func (f *fs) do(ctx context.Context, pq *stepQueue, prev *fs) {
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// => don't set f.planning.done just yet
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// => don't set f.planning.done just yet
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f.debug("initial len(fs.planned.steps) = %d", len(f.planned.steps))
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f.debug("initial len(fs.planned.steps) = %d", len(f.planned.steps))
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// for not-first attempts, only allow fs.planned.steps
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// for not-first attempts that succeeded in planning, only allow fs.planned.steps
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// up to including the originally planned target snapshot
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// up to and including the originally planned target snapshot
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if prev != nil && prev.planning.done && prev.planning.err == nil {
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if prev != nil && prev.planning.done && prev.planning.err == nil {
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f.debug("attempting to correlate plan with previous attempt to find out what is left to do")
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// find the highest of the previously uncompleted steps for which we can also find a step
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// in our current plan
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prevUncompleted := prev.planned.steps[prev.planned.step:]
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prevUncompleted := prev.planned.steps[prev.planned.step:]
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if len(prevUncompleted) == 0 {
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var target struct{ prev, cur int }
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f.debug("prevUncompleted is empty")
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target.prev = -1
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return
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target.cur = -1
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}
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out:
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if len(f.planned.steps) == 0 {
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for p := len(prevUncompleted) - 1; p >= 0; p-- {
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f.debug("fs.planned.steps is empty")
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for q := len(f.planned.steps) - 1; q >= 0; q-- {
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return
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if prevUncompleted[p].step.TargetEquals(f.planned.steps[q].step) {
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}
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target.prev = p
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prevFailed := prevUncompleted[0]
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target.cur = q
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curFirst := f.planned.steps[0]
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break out
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// we assume that PlanFS retries prevFailed (using curFirst)
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if !prevFailed.step.TargetEquals(curFirst.step) {
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f.debug("Targets don't match")
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// Two options:
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// A: planning algorithm is broken
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// B: manual user intervention inbetween
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// Neither way will we make progress, so let's error out
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stepFmt := func(step *step) string {
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r := step.report()
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s := r.Info
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if r.IsIncremental() {
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return fmt.Sprintf("%s=>%s", s.From, s.To)
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} else {
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return fmt.Sprintf("full=>%s", s.To)
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}
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}
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}
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}
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msg := fmt.Sprintf("last attempt's uncompleted step %s does not correspond to this attempt's first planned step %s",
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}
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stepFmt(prevFailed), stepFmt(curFirst))
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if target.prev == -1 || target.cur == -1 {
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f.planned.stepErr = newTimedError(errors.New(msg), time.Now())
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f.debug("no correlation possible between previous attempt and this attempt's plan")
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f.planning.err = newTimedError(fmt.Errorf("cannot correlate previously failed attempt to current plan"), time.Now())
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return
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return
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}
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}
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// only allow until step targets diverge
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min := len(prevUncompleted)
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f.planned.steps = f.planned.steps[0:target.cur]
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if min > len(f.planned.steps) {
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f.debug("found correlation, new steps are len(fs.planned.steps) = %d", len(f.planned.steps))
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min = len(f.planned.steps)
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} else {
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}
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f.debug("previous attempt does not exist or did not finish planning, no correlation possible, taking this attempt's plan as is")
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diverge := 0
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for ; diverge < min; diverge++ {
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f.debug("diverge compare iteration %d", diverge)
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if !f.planned.steps[diverge].step.TargetEquals(prevUncompleted[diverge].step) {
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break
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}
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}
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f.debug("diverge is %d", diverge)
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f.planned.steps = f.planned.steps[0:diverge]
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}
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}
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f.debug("post-prev-merge len(fs.planned.steps) = %d", len(f.planned.steps))
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// now we are done planning (f.planned.steps won't change from now on)
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// now we are done planning (f.planned.steps won't change from now on)
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f.planning.done = true
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f.planning.done = true
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