Hi,
I need to understand the use case of join_ring=false in case of node outages.
As per https://issues.apache.org/jira/browse/CASSANDRA-6961, you would want
join_ring=false when you have to repair a node before bringing a node back
after some considerable outage. The problem I see with join_ri
Any NTP experts willing to take up these questions?
Thanks
Anuj
On Sun, 27 Nov, 2016 at 12:52 AM, Anuj Wadehra wrote:
Hi,
One popular NTP setup recommended for Cassandra users is described at
Thankshttps://blog.logentries.com/2014/03/synchronizing-clocks-in-a-cassandra-cluster-pt-2-soluti
You might find more NTP experts on the NTP questions mailing list:
http://lists.ntp.org/listinfo/questions
On Tue, Dec 13, 2016 at 1:25 PM, Anuj Wadehra wrote:
> Any NTP experts willing to take up these questions?
>
> Thanks
> Anuj
>
> On Sun, 27 Nov, 2016 at 12:52 AM, Anuj Wadehra
> wrote:
> Hi
Thanks for the NTP link. Most of us are Cassandra users and must be using NTP
(or other time synchronization methods) for ensuring relative time
synchronization in our Cassandra clusters. I hope there are people on the
mailing list who can answer these questions with respect to Cassandra.
There
Are Materialized views persisted on disk? sorry for the naive question.
Yes, they are stored on disk like a normal table.
On Tue, Dec 13, 2016 at 2:31 PM, Kant Kodali wrote:
> Are Materialized views persisted on disk? sorry for the naive question.
>
The word "materialized" implies that.
2016-12-13 20:34 GMT+01:00 Carl Yeksigian :
> Yes, they are stored on disk like a normal table.
>
> On Tue, Dec 13, 2016 at 2:31 PM, Kant Kodali wrote:
>
>> Are Materialized views persisted on disk? sorry for the naive question.
>>
>
>
--
Benjamin Roth
Pr
People should be able to ask legit questions here without getting snarky
answers, please don't do that. Not everyone has the same background or
knowledge that you do.
On Tue, Dec 13, 2016 at 11:49 AM Benjamin Roth
wrote:
> The word "materialized" implies that.
>
> 2016-12-13 20:34 GMT+01:00 Car
It wasn't meant in a snarky way, it was as (too short) explanation. I try
to sum it up:
Materialized View:
The data that is represented by the view is stored persistently and updated
as soon as the underlying base data changes.
On RDBMS: Pro: Fast reads, Con: Slow(er) updates
On CS: Used to do fil
2016-11-26 20:20 GMT+01:00 Anuj Wadehra :
> 1. If my ISP provider is providing me a pool of reliable NTP servers, should
> I setup my own internal servers anyway or can I sync Cassandra nodes
> directly to the ISP provided servers and select one of the servers as
> preferred for relative clock sync
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