cassandra-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Ariel Weisberg (JIRA)" <>
Subject [jira] [Commented] (CASSANDRA-13265) Expiration in OutboundTcpConnection can block the reader Thread
Date Tue, 14 Mar 2017 17:40:41 GMT


Ariel Weisberg commented on CASSANDRA-13265:

bq. I still think it's a good idea to avoid hard coding this kind of value so operators have
options without recompiling.
I would like BACKLOG_PURGE_SIZE to be kept hard coded for now. It has been there for quite
some time hard coded, and in the long term I do not think it should be kept as-is. For example
it would better to purge on the number of actually DROPPABLE messages in the queue (or their
weight if you want to extend even further)
I agree but I don't want to add more to this change set and I want to backport it to at least
2.2. I suggest it primarily because it's very low effort to add a property as opposed to a
full YAML + JMX config option.

bq. At Github? I can do so. But no PR, right? I saw it mentioned that one should not open
PR's for Cassandra on Github as they cannot be handled (it's just a mirror).
Project policy is to not use PRs even for comments. Code review comments go in JIRA. What
I and some others do is link to a compare view of what we intend to merge. Don't delete the
branches your links point to because it invalidates the information in JIRA.

bq. I looked in more detail, and I think this a flaw in the original code "suggested" me to
do this: drainedMessages.clear() is called twice, and one time would be enough. IMO it would
be better to only keep the one at the end of the method and also do the drop-counting for
the drained messages there. This would also cover a rather exotic case of the catch (Exception
e) in the run() method. If an Exception is thrown, then there is a danger of nothing being
So there is the issue of not counting drops as they happen. The thread can block for a long
time writing messages so if we wait to count drops they won't show up quite as promptly. Not
a huge deal, but I think we should log the drops especially due to timeouts as they happen
rather than at the end. It's definitely true that we don't need to clear the backlog twice
and we could log the drops due to items remaining in the backlog there. The loop decrements
a counter every time it runs so you know how many remaining elements are being dropped if
you hit break inner.

> Expiration in OutboundTcpConnection can block the reader Thread
> ---------------------------------------------------------------
>                 Key: CASSANDRA-13265
>                 URL:
>             Project: Cassandra
>          Issue Type: Bug
>         Environment: Cassandra 3.0.9
> Java HotSpot(TM) 64-Bit Server VM version 25.112-b15 (Java version 1.8.0_112-b15)
> Linux 3.16
>            Reporter: Christian Esken
>            Assignee: Christian Esken
>             Fix For: 2.2.x, 3.0.x, 3.11.x, 4.x
>         Attachments: cassandra.pb-cache4-dus.2017-02-17-19-36-26.chist.xz,
> I observed that sometimes a single node in a Cassandra cluster fails to communicate to
the other nodes. This can happen at any time, during peak load or low load. Restarting that
single node from the cluster fixes the issue.
> Before going in to details, I want to state that I have analyzed the situation and am
already developing a possible fix. Here is the analysis so far:
> - A Threaddump in this situation showed  324 Threads in the OutboundTcpConnection class
that want to lock the backlog queue for doing expiration.
> - A class histogram shows 262508 instances of OutboundTcpConnection$QueuedMessage.
> What is the effect of it? As soon as the Cassandra node has reached a certain amount
of queued messages, it starts thrashing itself to death. Each of the Thread fully locks the
Queue for reading and writing by calling, making the situation worse and worse.
> - Writing: Only after 262508 locking operation it can progress with actually writing
to the Queue.
> - Reading: Is also blocked, as 324 Threads try to do, and fully lock
the Queue
> This means: Writing blocks the Queue for reading, and readers might even be starved which
makes the situation even worse.
> -----
> The setup is:
>  - 3-node cluster
>  - replication factor 2
>  - Consistency LOCAL_ONE
>  - No remote DC's
>  - high write throughput (100000 INSERT statements per second and more during peak times).

This message was sent by Atlassian JIRA

View raw message