[ 
https://issues.apache.org/jira/browse/ZOOKEEPER-1177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13131738#comment-13131738
 ] 

Patrick Hunt commented on ZOOKEEPER-1177:
-----------------------------------------

This is awesome work guys, thanks.

Question: in your testing what is the impact of triggering a large number of 
watches on overall operation latency?

bq. Each client fetches and puts watches on all the znodes.

Say I delete a znode in your example, that will trigger 10k notifications to be 
sent (one to each session) - what is the impact on the latency of this request 
(the delete), both with and without this patch?


Subsequent to the investigations you've been doing, should we have concerns on 
overall service availability due to large numbers of watches being triggered 
concurrently?
                
> Enabling a large number of watches for a large number of clients
> ----------------------------------------------------------------
>
>                 Key: ZOOKEEPER-1177
>                 URL: https://issues.apache.org/jira/browse/ZOOKEEPER-1177
>             Project: ZooKeeper
>          Issue Type: Improvement
>          Components: server
>    Affects Versions: 3.3.3
>            Reporter: Vishal Kathuria
>            Assignee: Vishal Kathuria
>             Fix For: 3.5.0
>
>         Attachments: ZooKeeper.patch
>
>
> In my ZooKeeper, I see watch manager consuming several GB of memory and I dug 
> a bit deeper.
> In the scenario I am testing, I have 10K clients connected to an observer. 
> There are about 20K znodes in ZooKeeper, each is about 1K - so about 20M data 
> in total.
> Each client fetches and puts watches on all the znodes. That is 200 million 
> watches.
> It seems a single watch takes about 100  bytes. I am currently at 14528037 
> watches and according to the yourkit profiler, WatchManager has 1.2 G 
> already. This is not going to work as it might end up needing 20G of RAM just 
> for the watches.
> So we need a more compact way of storing watches. Here are the possible 
> solutions.
> 1. Use a bitmap instead of the current hashmap. In this approach, each znode 
> would get a unique id when its gets created. For every session, we can keep 
> track of a bitmap that indicates the set of znodes this session is watching. 
> A bitmap, assuming a 100K znodes, would be 12K. For 10K sessions, we can keep 
> track of watches using 120M instead of 20G.
> 2. This second idea is based on the observation that clients watch znodes in 
> sets (for example all znodes under a folder). Multiple clients watch the same 
> set and the total number of sets is a couple of orders of magnitude smaller 
> than the total number of znodes. In my scenario, there are about 100 sets. So 
> instead of keeping track of watches at the znode level, keep track of it at 
> the set level. It may mean that get may also need to be implemented at the 
> set level. With this, we can save the watches in 100M.
> Are there any other suggestions of solutions?
> Thanks
>  

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators: 
https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira

        

Reply via email to