[
https://issues.apache.org/jira/browse/STORM-329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14175144#comment-14175144
]
ASF GitHub Bot commented on STORM-329:
--------------------------------------
Github user HeartSaVioR commented on the pull request:
https://github.com/apache/storm/pull/268#issuecomment-59529389
I have a question (maybe comment) about your PR.
(Since I don't know Storm deeply, so it could be wrong. Please correct me
if I'm wrong!)
When we enqueue tuples to Client, queued tuples seems to be discarded when
one worker is down and nimbus reassigns task to other worker, and finally
worker changes task-socket relation.
But if we enqueue tuples to Drainer, queued tuples may could be sent to new
worker when task - socket cache is changed to new.
If I'm right, it would be better to place flusher into TransferDrainer.
> Add Option to Config Message handling strategy when connection timeout
> ----------------------------------------------------------------------
>
> Key: STORM-329
> URL: https://issues.apache.org/jira/browse/STORM-329
> Project: Apache Storm
> Issue Type: Improvement
> Affects Versions: 0.9.2-incubating
> Reporter: Sean Zhong
> Priority: Minor
> Labels: Netty
> Fix For: 0.9.2-incubating
>
>
> This is to address a [concern brought
> up|https://github.com/apache/incubator-storm/pull/103#issuecomment-43632986]
> during the work at STORM-297:
> {quote}
> [~revans2] wrote: Your logic makes since to me on why these calls are
> blocking. My biggest concern around the blocking is in the case of a worker
> crashing. If a single worker crashes this can block the entire topology from
> executing until that worker comes back up. In some cases I can see that being
> something that you would want. In other cases I can see speed being the
> primary concern and some users would like to get partial data fast, rather
> then accurate data later.
> Could we make it configurable on a follow up JIRA where we can have a max
> limit to the buffering that is allowed, before we block, or throw data away
> (which is what zeromq does)?
> {quote}
> If some worker crash suddenly, how to handle the message which was supposed
> to be delivered to the worker?
> 1. Should we buffer all message infinitely?
> 2. Should we block the message sending until the connection is resumed?
> 3. Should we config a buffer limit, try to buffer the message first, if the
> limit is met, then block?
> 4. Should we neither block, nor buffer too much, but choose to drop the
> messages, and use the built-in storm failover mechanism?
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)