Actually for me it seems that largest means with most data, not range, that
with replication involved makes the feature useless.

2012/1/13 David McNelis <dmcne...@gmail.com>

> The documentation for that section needs to be updated...
>
> What happens is that if you just autobootstrap without setting a token it
> will by default bisect the range of the largest node.
>
> So if you go through several iterations of adding nodes, then this is what
> you would see:
>
> Gen 1:
> Node A:  100% of tokens, token range 1-10 (for example)
>
> Gen 2:
> Node A: 50% of tokens  (1-5)
> Node B: 50% of tokens (6-10)
>
> Gen 3:
> Node A: 25% of tokens (1-2.5)
> Node B: 50% of tokens (6-10)
> Node C: 25% of tokens (2.6-5)
>
> In reality, what you'd want in gen 3 is every node to be 33%, but it would
> not be the case without setting the tokens to begin with.
>
> You'll notice that there are a couple of scripts available to generate a
> list of  initial tokens for your particular cluster size, then ever time
> you add a node you'll need to update all the nodes with new tokens in order
> to properly load balance.
>
> Does this make sense?
>
> Other folks, am I explaining this correctly?
>
> David
>
>
> 2012/1/13 Carlos Pérez Miguel <cperez...@gmail.com>
>
>> Hello,
>>
>> I have a doubt about how initial token is determined. In Cassandra's
>> documentation it is said that it is better to manually configure the
>> initial token to each node in the system but also is said that if
>> initial token is not defined and autobootstrap is true, new nodes
>> choose initial token in order to better the load balance of the
>> cluster. But what happens if no initial token is chosen and
>> autobootstrap is not activated? How each node selects its initial
>> token to balance the ring?
>>
>> I ask this because I am making tests with a 20 nodes cassandra cluster
>> with cassandra 0.7.9. Any node has initial token, nor
>> autobootstraping. I restart the cluster with each test I want to make
>> and in the end the cluster is always well balanced.
>>
>> Thanks
>>
>> Carlos Pérez Miguel
>>
>
>


-- 
Best regards,
 Vitalii Tymchyshyn

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