Galder Zamarreno wrote:
On 07/23/2009 10:32 PM, Mircea Markus wrote:
> Hi,
>
> Right now we support DLD in the following scenarios: local caches,
> symmetric tx that create deadlocks over two replicated caches (symmetric
> in the sense that A replicates to B and B replicates to A at the same
> time).
> In the case of distribution (replication as well, especially async one)
> there might still be a deadlock if both A and B replicate to C, but they
> replicate transactions that would result in deadlocks, so deadlock would
> result in C.
> Let's take an example, A wants to replicate Tx1 that affects (key1,
> key2) in this sequence. B wants to replicate Tx2 that affects (key2,
> key1) in this sequence. While replicating on C, Tx1 and Tx2 would result
> in a deadlock (classic scenario).
> Now a simple way of solving this (if I'm not missing something!!) is to
> order the keys in the replicated transaction based on some criterion
> (e.g. lexicographic) and apply them in the same sequence: Tx1(key1,key2)
> and Tx2(key1, key2). This will avoid deadlocks -> increase throughput.
> Now, at the core of this approach is the fact that the order of
> operations in the transaction is not relevant - which does not stand in
> current implementation. E.g. let's say we have a tx that does
> (remove(key), put(key, 'otherVal')). If we change the order result is
> totally different - not good! A way to avoid this (and to also reduce
> the amount of replication, by compacting changes by key) is to keep the
> modifications in a Map<key,Modification>. For each key we keep only the
> last value set within it, so if we modify the same key 1000 times within
> a tx we only replicate last modification vs current approach where 1000
> operations are replicated. If a key is deleted, we still keep it in the
> map, with a marker for deletion. This way we only replicate the delta of
> modifications, and the order of operations is no longer relevant, so
> that we can leverage previously described deadlock detection.
This is very similar to what we implemented for the coalesced async
cache loader actually.
yes indeed. Would be good to use the same code in both
places.
I think it makes sense to do so but I have doubts on the ordering
that
we can impose on the keys and how to make this order be consistent in
the cluster. We definitely cannot force keys to be Comparable.
yes, of course. This
functionality should be optional, so a user needs
to manually enable it. User can also specify a Comaprator, or rely on
the keys natural order (similar to the way SorteSets works).
>
> The advantages of this would be higher throughput by reducing the chance
> of 'asymmetric' deadlocks (A,B encounter a deadlock while replicating on
> C) and possible reduction in the size of the transaction (if it has
> multiple operations on the same key). The drawback is mainly the fact
> that some additional computation needs to be made to manage the map
> content (not a lot I reckon, instead of a List.add we'll do an map.get()
> + map.put(), for each modification within the transaction).
>
> Wdyt?
>
> Cheers,
> Mircea
>
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