Hi Daniel
sound like a good idea, thanks for the tip
Regards
Javi
On Tue, Nov 15, 2011 at 9:59 AM, Daniel-Constantin Mierla <miconda(a)gmail.com
wrote:
> Hello,
>
>
> On 11/14/11 3:24 PM, Javier Gallart wrote:
>
> Hello
>
> very interesting issue actually...the mtree module fits perfectly well
> in a key-value model becaue basically is what the mtree table structure
> defines; that's why redis was the first thing that came to my mind when I
> saw the redis module. Two problems with redis:
> -no "native" mt_match function, up to the user to find the best option
> -replication. Until the cluster feature is ready, we need to change by
> hand the server ip address, which implies a kamailio restart. There is no
> mi command for changing the server in the fly, right..(not in the module
> documentation at least)?
>
> you cannot change the redis server attributes on the fly, but you can
> define many redis servers and based on the name attribute query a specific
> one. So if you define two, you can do round robin queries to both of them,
> by using a shared variable $shv(...) to know which one was used last time.
> In the same way, since $sht(...) can be changed via MI, you can query
> either first redis or second one, based on the value of $sht(). In this way
> you can build some failover solution just in config file of kamailio.
>
> Cheers,
> Daniel
>
>
> Daniel, I agree that your suggestion about the mi/rpc method would be
> nice. I will also take a look at Mongo as Douglas suggests, and especially
> CouchDB, because you can talk to Couch DB via http...
>
> Regards
>
> Javi
>
> On Mon, Nov 14, 2011 at 1:32 PM, Douglas Hubler <douglas(a)hubler.us
wrote:
>
>> On Mon, Nov 14, 2011 at 5:10 AM, Daniel-Constantin Mierla
>> <miconda(a)gmail.com
wrote:
>> >
are there any other no-sql database systems that have such mechanism?
>> Might
>> > not be hard to make a connector when the time will allow -- just to
>> know the
>> > best options here.
>>
>> mongodb will auto promote. Caveat, (like redis if i understand
>> correctly), is that all writes are directed to a single master (be it
>> chosen dynamically), but reads can happen anywhere to spread the load.
>> Also, you need to accept the distaster scenario of a "network
>> partition" where a minority set of servers find themselves w/o a
>> master. Example: 5 servers in datacenter #1 and 4 servers in
>> datacenter #2. If the link between datacenters is broken, then all
>> servers in datacenter #2 will not have a master and will be read-only
>> until link is restored. Good part about single master is there's no
>> chance of inconsistent data.
>>
>> Turns out local fail-over v.s. consistent data is a well explored area.
>>
>>
http://blog.nahurst.com/visual-guide-to-nosql-systems
>>
>> I've worked w/the C++ driver to mongodb is anyone has questions.
>>
>
>
>
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> Daniel-Constantin Mierla --
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