Hi Bhuvan,
From the following link,it doesn't suggest us to use RAC and it looks 
reasonable.
http://www.datastax.com/dev/blog/multi-datacenter-replication



Defining one rack for the entire cluster is the simplest and most common 
implementation. Multiple racks should be avoided for the following reasons:
        •       Most users tend to ignore or forget rack requirements that 
state racks should be in an alternating order to allow the data to get 
distributed safely and appropriately.
        •       Many users are not using the rack information effectively by 
using a setup with as many racks as they have nodes, or similar non-beneficial 
scenarios.
        •       When using racks correctly, each rack should typically have the 
same number of nodes.
        •       In a scenario that requires a cluster expansion while using 
racks, the expansion procedure can be tedious since it typically involves 
several node moves and has has to ensure to ensure that racks will be 
distributing data correctly and evenly. At times when clusters need immediate 
expansion, racks should be the last things to worry about.












------------------ 原始邮件 ------------------
发件人: "Bhuvan Rawal";<bhu1ra...@gmail.com>;
发送时间: 2017年7月24日(星期一) 晚上7:17
收件人: "user"<user@cassandra.apache.org>; 

主题: Re: tolerate how many nodes down in the cluster



Hi Peng ,

This really depends on how you have configured your topology. Say if you have 
segregated your dc into 3 racks with 10 servers each. With RF of 3 you can 
safely assume your data to be available if one rack goes down. 


But if different servers amongst the racks fail then i guess you are not 
guaranteeing data integrity with RF of 3 in that case you can at max lose 2 
servers to be available. Best idea would be to plan failover modes 
appropriately and letting cassandra know of the same.


Regards,
Bhuvan


On Mon, Jul 24, 2017 at 3:28 PM, Peng Xiao <2535...@qq.com> wrote:
Hi,


Suppose we have a 30 nodes cluster in one DC with RF=3,
how many nodes can be down?can we tolerate 10 nodes down?
it seems that we are not able to avoid  the data distribution 3 replicas in the 
10 nodes?,
then we can only tolerate 1 node down even we have 30 nodes?
Could anyone please advise?


Thanks

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