commit | aa03d40c1f6d63636b363df0369631278dc47773 | [log] [tgz] |
---|---|---|
author | Dave Borowitz <dborowitz@google.com> | Thu Jun 02 15:13:41 2016 -0400 |
committer | Dave Borowitz <dborowitz@google.com> | Fri Jun 03 10:04:10 2016 -0400 |
tree | 69a065c9a9364f6cd4a8540de1085c7751ec14ed | |
parent | c7bb599d75dd4ce5c2dd45c993d91b4d63c64975 [diff] |
Selectively ignore errors from NoteDbUpdateManager As we know by now, NoteDb writes can fail for all sorts of reasons. In the case of writes via BatchUpdate, from the user perspective we don't actually care if the NoteDb update fails. If NoteDb reads are enabled, we want the change to get rebuilt on the next read, but that will happen regardless of whether or not BatchUpdate throws an error, because we've already saved the data in the canonical location in ReviewDb. Users prefer not to see errors, so just ignore them. Another somewhat related issue is what to do about errors during the auto-rebuild codepath during read. These have been cropping up unpleasantly frequently due to the behavior of the change screen, which sends a bunch of parallel requests all reading from the same change entity. This is racy and tends to result in a noticeable subset of requests getting LOCK_FAILURE and throwing. In this case, the caller does actually care that the change got successfully rebuilt after we detected it as stale--we can't just ignore the error. But it doesn't actually matter that *this caller* was the one to rebuild the change. We can just reread the NoteDbChangeState from ReviewDb and compare it to the new value of NoteDb after an exception to see if it got rebuilt behind our backs. Only go arm's-length here and retry once; rebuilding in a loop seems risky. Both of these cases are actually quite straightforward to fix; the annoying thing is injecting a test ChangeRebuilder implementation that's capable of doing the update behind the caller's back. Change-Id: I0b80c97552cbdbfc6de44a785b41ad7ad8ab05b0
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