That makes sense, but it seems to include high additional complexity that
doesn't exists in a staticly defined systemI expand on that idea here:
Rhino DHT and failover and replication, on
my!<http://ayende.com/Blog/archive/2009/02/08/rhino-dht-and-failover-and-replication-on-my.aspx>

On Sun, Feb 8, 2009 at 10:10 AM, Tapio Kulmala <[email protected]>wrote:

> The whole problem boils down to the question how the whole network of nodes
> is started up.
>
> You already have your get/put/remove semantics in place. Every node can
> accept those commands and act on them. It sounds like a RESTfull interface.
> The same mechanism could be used when a node want's to go down or up. A node
> could send a message "put nodexyzstatus up" to other nodes. You could define
> some special keys which (instead of manipulating the stored data) would
> initiate any role changes or failover procedures you want. If a client can't
> reach a node, it can simply request those procedures. A "put" would initiate
> a change in the network and a get would be just a status query of the
> network.
>
> Does this make any sense?
>
> Tapio
>
>
> On Sun, Feb 8, 2009 at 1:24 AM, Ayende Rahien <[email protected]> wrote:
>
>> Two different things.What I described was the initial design.
>> The second one is the one with fail over in place.
>>
>>
>> On Sun, Feb 8, 2009 at 1:14 AM, Tapio Kulmala <[email protected]>wrote:
>>
>>> The nodes are NOT totally isolated from each other if they know their
>>> role and who's the secondary or tertiary node. I understood that the client
>>> is the only one who knows those things.
>>>
>>> Tapio
>>>
>>> On Sun, Feb 8, 2009 at 1:03 AM, Ayende Rahien <[email protected]> wrote:
>>>
>>>> no, you want to keep it simple
>>>> Ad the nodes have to know about each other, so they can tell their
>>>> secondary and tertiary
>>>>
>>>>
>>>> On Sun, Feb 8, 2009 at 1:00 AM, Tapio Kulmala 
>>>> <[email protected]>wrote:
>>>>
>>>>> Ok....
>>>>>
>>>>> I'm still assuming that the client is the only one who knows what the
>>>>> secondary and tertiary nodes are for the primary node.
>>>>>
>>>>> If the primary node is down, could you just swap the roles of those
>>>>> nodes. Make the unavailable node tertiary and go on as usual?
>>>>>
>>>>>
>>>>>
>>>>> On Sun, Feb 8, 2009 at 12:53 AM, Ayende Rahien <[email protected]>wrote:
>>>>>
>>>>>> No, that is the problem that this is supposed to deal with.I am not
>>>>>> straight yet on the issue of how to deal with the node configuration.
>>>>>>
>>>>>> The design for the new version of Rhino DHT is simple. We continue to
>>>>>> support only three operations on the wire, Put, Get and Remove. But we 
>>>>>> also
>>>>>> introduced a new notion. Failover servers. Every node in the DHT has a
>>>>>> secondary and tertiary nodes defined to it. Those nodes are also full
>>>>>> fledged nodes in the DHT, capable of handling their own stuff.
>>>>>>
>>>>>> During normal operation, any successful Put or Remove operation will
>>>>>> be sent via async messages to the secondary and tertiary nodes. If a node
>>>>>> goes down, the client library is responsible for detecting that and 
>>>>>> moving
>>>>>> to the secondary node, and the tertiary one if that is down as well. Get 
>>>>>> is
>>>>>> pretty simple in this regard, as you can imagine, the node needs to 
>>>>>> simply
>>>>>> serve the request from local storage. Put and Remove operations are more
>>>>>> complex, the logic for doing this is the same as always, include all the
>>>>>> conflict resolution, etc. But in addition to that, the Put and Remove
>>>>>> requests will generate async messages to the primary and tertiary nodes 
>>>>>> (if
>>>>>> using the secondary as fallback, and primary and secondary if using the
>>>>>> tertiary as fallback).
>>>>>>
>>>>>> That way, when the primary come back up, it can catch up with work
>>>>>> that was done while it was down.
>>>>>> The question of how to store the data about the nodes ,however,
>>>>>> remains. I think that I'll store it as replicated value in all the 
>>>>>> nodes. So
>>>>>> we have a list of all the nodes and their secondary and tertiary there.
>>>>>>
>>>>>> On Sun, Feb 8, 2009 at 12:49 AM, Tapio Kulmala <
>>>>>> [email protected]> wrote:
>>>>>>
>>>>>>> Doesn't that algorithm always get the data for key xxx from the same
>>>>>>> node? If the node is down you'll hit the real data store but you'll 
>>>>>>> never
>>>>>>> switch to another node. Or do you take the node out from your nodes 
>>>>>>> list?
>>>>>>>
>>>>>>>
>>>>>>> Tapio
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Sun, Feb 8, 2009 at 12:35 AM, Ayende Rahien <[email protected]>wrote:
>>>>>>>
>>>>>>>> Right now, this information is stored on the client side.The client
>>>>>>>> has a list of nodes and get/store the data in them using the following
>>>>>>>> algorithm:
>>>>>>>>
>>>>>>>> public Value Get(string key)
>>>>>>>> {
>>>>>>>>    return nodes[ key.GetHashCode() % nodes.Length].Get(key)
>>>>>>>> }
>>>>>>>>
>>>>>>>> On Sun, Feb 8, 2009 at 12:19 AM, Tapio Kulmala <
>>>>>>>> [email protected]> wrote:
>>>>>>>>
>>>>>>>>> I don't know anything about Rhino DHT so this might be a really
>>>>>>>>> stupid question. You said that that each node is each node is totally
>>>>>>>>> isolated from all the rest. How does the client initially know what 
>>>>>>>>> nodes
>>>>>>>>> exists and where the data might be stored?
>>>>>>>>>
>>>>>>>>> Tapio
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Sat, Feb 7, 2009 at 9:17 PM, Ayende Rahien 
>>>>>>>>> <[email protected]>wrote:
>>>>>>>>>
>>>>>>>>>>  My initial design when building Rhino DHT was that it would work
>>>>>>>>>> in a similar manner to Memcached, with the addition of multi 
>>>>>>>>>> versioned
>>>>>>>>>> values and persistence. That is, each node is completely isolated 
>>>>>>>>>> from all
>>>>>>>>>> the rest, and it is the client that is actually creating the 
>>>>>>>>>> illusion of
>>>>>>>>>> distributed cohesion.
>>>>>>>>>>
>>>>>>>>>> The only problem with this approach is reliability. That is, if a
>>>>>>>>>> node goes down, all the values that are stored in it are gone. This 
>>>>>>>>>> is not a
>>>>>>>>>> problem for Memcached. If the node is down, all you have to do is to 
>>>>>>>>>> hit the
>>>>>>>>>> actual data source. Memcached is *not *a data store, it is a
>>>>>>>>>> cache, and it is allowed to remove values when you want it.
>>>>>>>>>>
>>>>>>>>>> For Rhino DHT, that is not the case. I am using it to store the
>>>>>>>>>> saga details for Rhino Service Bus, as well as storing persistent 
>>>>>>>>>> state.
>>>>>>>>>>
>>>>>>>>>> The first plan was to use it as is. If a node is down, it would
>>>>>>>>>> cause an error during load saga state stage (try to say *that*three 
>>>>>>>>>> times fast!), which would eventually move the message to the error
>>>>>>>>>> queue, when the node came back up, we could move the messages from 
>>>>>>>>>> the error
>>>>>>>>>> queue to the main queue and be done with it.
>>>>>>>>>>
>>>>>>>>>> My current client had some objections to that, from his
>>>>>>>>>> perspective, if any node in the DHT was down, the other nodes should 
>>>>>>>>>> take
>>>>>>>>>> over automatically, without any interruption of service. That is… 
>>>>>>>>>> somewhat
>>>>>>>>>> more complex to handle.
>>>>>>>>>>
>>>>>>>>>> Well, actually, it isn't more complex to handle. I was able to
>>>>>>>>>> continue with my current path for everything (including full 
>>>>>>>>>> transparent
>>>>>>>>>> failover for reads and writes).
>>>>>>>>>>
>>>>>>>>>> What I was *not *able to solve, however, was how to handle a node
>>>>>>>>>> coming back *up*. Or, to be rather more exact, I run into a
>>>>>>>>>> problem there because the only way to solve this cleanly was to use
>>>>>>>>>> messaging. But, of course, Rhino Service Bus is dependent on Rhino 
>>>>>>>>>> DHT. And
>>>>>>>>>> creating a circular reference would just make things more complex, 
>>>>>>>>>> even if
>>>>>>>>>> it was broken with interfaces in the middle.
>>>>>>>>>> Thoughts?
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>>
>>>
>>>
>>>
>>
>>
>>
>
> >
>

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