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https://issues.apache.org/jira/browse/CASSANDRA-8732?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14305527#comment-14305527
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Ariel Weisberg commented on CASSANDRA-8732:
-------------------------------------------

[~benedict] asked me to log this. I don't see it as a high priority either 
because there is an element of operator error in not having clocks synced. It 
is a common error and it is a nice to have for the database to handle it as 
well as possible.

I think issue is when one clock is far enough off timeouts can fire 
sooner/later then they should. Messages are dropped by receiving nodes when 
they are proxied intracluster according to my reading of the code so that is 
why it is sensitive to drift and skew.

An append only workload or workload that only updates from a single writer 
might not notice the clock skew? Just throwing that out there. It's also 
possible only one node has a problematic clocks.


> Make inter-node timeouts tolerate clock skew and drift
> ------------------------------------------------------
>
>                 Key: CASSANDRA-8732
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-8732
>             Project: Cassandra
>          Issue Type: Improvement
>            Reporter: Ariel Weisberg
>
> Right now internode timeouts rely on currentTimeMillis() (and NTP) to make 
> sure that tasks don't expire before they arrive.
> Every receiver needs to deduce the offset between its nanoTime and the remote 
> nanoTime. I don't think currentTimeMillis is a good choice because it is 
> designed to be manipulated by operators and NTP. I would probably be 
> comfortable assuming that nanoTime isn't going to move in significant ways 
> without something that could be classified as operator error happening.
> I suspect the one timing method you can rely on being accurate is nanoTime 
> within a node (on average) and that a node can report on its own scheduling 
> jitter (on average).
> Finding the offset requires knowing what the network latency is in one 
> direction.
> One way to do this would be to periodically send a ping request which 
> generates a series of ping responses at fixed intervals (maybe by UDP?). The 
> responses should corrected for scheduling jitter since the fixed intervals 
> may not be exactly achieved by the sender. By measuring the time deviation 
> between ping responses and their expected arrival time (based on the 
> interval) and correcting for the remotely reported scheduling jitter, you 
> should be able to measure latency in one direction.
> A weighted moving average (only correct for drift, not readjustment) of these 
> measurements would eventually converge on a close answer and would not be 
> impacted by outlier measurements. It may also make sense to drop the largest 
> N samples to improve accuracy.
> One you know network latency you can add that to the timestamp of each ping 
> and compare to the local clock and know what the offset is.
> These measurements won't calculate the offset to be too small (timeouts fire 
> early), but could calculate the offset to be too large (timeouts fire late). 
> The conditions where you the offset won't be accurate are the conditions 
> where you also want them firing reliably. This and bootstrapping in bad 
> conditions is what I am most uncertain of.



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