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https://issues.apache.org/jira/browse/CASSANDRA-2816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13059655#comment-13059655
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Terje Marthinussen commented on CASSANDRA-2816:
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bq.I'm not sure that in a p2p design we can posit an omniscient "the system."
Is that a philosophical statement? :)
As Cassandra, at least for now, is a p2p network with fairly clearly defined
boundaries, I will continue calling it a "system" for now :)
However, looking at it from the p2p viewpoint, the user potentially have no
clue about where replicas are stored and given this, it may be impossible for
the user to issue repair manually on more than one node at a time without
getting in trouble. Given a large enough p2p setup, it would also be
non-trivial to actually schedule a complete repair without ending up with 2 or
more repairs running on the same replica set.
Since Cassandra do no checkpoint the synchronization so it is forced to rescan
everything on every repair, repairs easily take so long that you are forced to
run it on several nodes at a time if you are going to manage to finish
repairing all nodes in 10 days...
Anyway, this is way outside the scope of this jira :)
> Repair doesn't synchronize merkle tree creation properly
> --------------------------------------------------------
>
> Key: CASSANDRA-2816
> URL: https://issues.apache.org/jira/browse/CASSANDRA-2816
> Project: Cassandra
> Issue Type: Bug
> Components: Core
> Reporter: Sylvain Lebresne
> Assignee: Sylvain Lebresne
> Labels: repair
> Fix For: 0.8.2
>
> Attachments: 0001-Schedule-merkle-tree-request-one-by-one.patch
>
>
> Being a little slow, I just realized after having opened CASSANDRA-2811 and
> CASSANDRA-2815 that there is a more general problem with repair.
> When a repair is started, it will send a number of merkle tree to its
> neighbor as well as himself and assume for correction that the building of
> those trees will be started on every node roughly at the same time (if not,
> we end up comparing data snapshot at different time and will thus mistakenly
> repair a lot of useless data). This is bogus for many reasons:
> * Because validation compaction runs on the same executor that other
> compaction, the start of the validation on the different node is subject to
> other compactions. 0.8 mitigates this in a way by being multi-threaded (and
> thus there is less change to be blocked a long time by a long running
> compaction), but the compaction executor being bounded, its still a problem)
> * if you run a nodetool repair without arguments, it will repair every CFs.
> As a consequence it will generate lots of merkle tree requests and all of
> those requests will be issued at the same time. Because even in 0.8 the
> compaction executor is bounded, some of those validations will end up being
> queued behind the first ones. Even assuming that the different validation are
> submitted in the same order on each node (which isn't guaranteed either),
> there is no guarantee that on all nodes, the first validation will take the
> same time, hence desynchronizing the queued ones.
> Overall, it is important for the precision of repair that for a given CF and
> range (which is the unit at which trees are computed), we make sure that all
> node will start the validation at the same time (or, since we can't do magic,
> as close as possible).
> One (reasonably simple) proposition to fix this would be to have repair
> schedule validation compactions across nodes one by one (i.e, one CF/range at
> a time), waiting for all nodes to return their tree before submitting the
> next request. Then on each node, we should make sure that the node will start
> the validation compaction as soon as requested. For that, we probably want to
> have a specific executor for validation compaction and:
> * either we fail the whole repair whenever one node is not able to execute
> the validation compaction right away (because no thread are available right
> away).
> * we simply tell the user that if he start too many repairs in parallel, he
> may start seeing some of those repairing more data than it should.
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