Creating a fresh new cluster in aws using this procedure, I got this
problem once I am bootstrapping the second rack of the cluster of 6
machines with 3 racks and a keyspace of rf 3
WARN [main] 2019-04-26 11:37:43,845 TokenAllocation.java:63 - Selected
tokens [-5106267594614944625, 623001446449719390, 7048665031315327212,
3265006217757525070, 5054577454645148534, 314677103601736696,
7660890915606146375, -5329427405842523680]
ERROR [main] 2019-04-26 11:37:43,860 CassandraDaemon.java:749 - Fatal
configuration error
org.apache.cassandra.exceptions.ConfigurationException: Token allocation
failed: the number of racks 2 in datacenter eu-west-3 is lower than its
replication factor 3.
Someone got this problem ?
I am not quite sure why I have this, since my cluster has 3 racks.
Cluster Information:
Name: test
Snitch: org.apache.cassandra.locator.GossipingPropertyFileSnitch
DynamicEndPointSnitch: enabled
Partitioner: org.apache.cassandra.dht.Murmur3Partitioner
Schema versions:
3bf63440-fad7-3371-9c14-4855ad11ee83: [192.0.0.1, 192.0.0.2]
Jean Carlo
"The best way to predict the future is to invent it" Alan Kay
On Thu, Jan 24, 2019 at 10:32 AM Ahmed Eljami <ahmed.elj...@gmail.com>
wrote:
> Hi folks,
>
> What about adding new keyspaces in the existing cluster, test_2 with the
> same RF.
>
> It will use the same logic as the existing kesypace test ? Or I should
> restart nodes and add the new keyspace to the cassandra.yaml ?
>
> Thanks.
>
> Le mar. 2 oct. 2018 à 10:28, Varun Barala <varunbaral...@gmail.com> a
> écrit :
>
>> Hi,
>>
>> Managing `initial_token` by yourself will give you more control over
>> scale-in and scale-out.
>> Let's say you have three node cluster with `num_token: 1`
>>
>> And your initial range looks like:-
>>
>> Datacenter: datacenter1
>> ==========
>> Address Rack Status State Load Owns
>> Token
>>
>> 3074457345618258602
>> 127.0.0.1 rack1 Up Normal 98.96 KiB 66.67%
>> -9223372036854775808
>> 127.0.0.2 rack1 Up Normal 98.96 KiB 66.67%
>> -3074457345618258603
>> 127.0.0.3 rack1 Up Normal 98.96 KiB 66.67%
>> 3074457345618258602
>>
>> Now let's say you want to scale out the cluster to twice the current
>> throughput(means you are adding 3 more nodes)
>>
>> If you are using AWS EBS volumes then you can use the same volumes and
>> spin three more nodes by selecting midpoints of existing ranges which means
>> your new nodes are already having data.
>> Once you have mounted volumes on your new nodes:-
>> * You need to delete every system table except schema related tables.
>> * You need to generate system/local table by yourself which has
>> `Bootstrap state` as completed and schema-version same as other existing
>> nodes.
>> * You need to remove extra data on all the machines using cleanup commands
>>
>> This is how you can scale out Cassandra cluster in the minutes. In case
>> you want to add nodes one by one then you need to write some small tool
>> which will always figure out the bigger range in the existing cluster and
>> will split it into the half.
>>
>> However, I never tested it thoroughly but this should work conceptually.
>> So here we are taking advantage of the fact that we have volumes(data) for
>> the new node beforehand so we no need to bootstrap them.
>>
>> Thanks & Regards,
>> Varun Barala
>>
>> On Tue, Oct 2, 2018 at 2:31 PM onmstester onmstester <onmstes...@zoho.com>
>> wrote:
>>
>>>
>>>
>>> Sent using Zoho Mail <https://www.zoho.com/mail/>
>>>
>>>
>>> ---- On Mon, 01 Oct 2018 18:36:03 +0330 *Alain RODRIGUEZ
>>> <arodr...@gmail.com <arodr...@gmail.com>>* wrote ----
>>>
>>> Hello again :),
>>>
>>> I thought a little bit more about this question, and I was actually
>>> wondering if something like this would work:
>>>
>>> Imagine 3 node cluster, and create them using:
>>> For the 3 nodes: `num_token: 4`
>>> Node 1: `intial_token: -9223372036854775808, -4611686018427387905, -2,
>>> 4611686018427387901`
>>> Node 2: `intial_token: -7686143364045646507, -3074457345618258604,
>>> 1537228672809129299, 6148914691236517202`
>>> Node 3: `intial_token: -6148914691236517206, -1537228672809129303,
>>> 3074457345618258600, 7686143364045646503`
>>>
>>> If you know the initial size of your cluster, you can calculate the
>>> total number of tokens: number of nodes * vnodes and use the
>>> formula/python code above to get the tokens. Then use the first token for
>>> the first node, move to the second node, use the second token and repeat.
>>> In my case there is a total of 12 tokens (3 nodes, 4 tokens each)
>>> ```
>>> >>> number_of_tokens = 12
>>> >>> [str(((2**64 / number_of_tokens) * i) - 2**63) for i in
>>> range(number_of_tokens)]
>>> ['-9223372036854775808', '-7686143364045646507', '-6148914691236517206',
>>> '-4611686018427387905', '-3074457345618258604', '-1537228672809129303',
>>> '-2', '1537228672809129299', '3074457345618258600', '4611686018427387901',
>>> '6148914691236517202', '7686143364045646503']
>>> ```
>>>
>>>
>>> Using manual initial_token (your idea), how could i add a new node to a
>>> long running cluster (the procedure)?
>>>
>>>
>
> --
> Cordialement;
>
> Ahmed ELJAMI
>
