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From "Wei Deng (JIRA)" <j...@apache.org>
Subject [jira] [Created] (CASSANDRA-11380) Client visible backpressure mechanism
Date Fri, 18 Mar 2016 02:30:33 GMT
Wei Deng created CASSANDRA-11380:
------------------------------------

             Summary: Client visible backpressure mechanism
                 Key: CASSANDRA-11380
                 URL: https://issues.apache.org/jira/browse/CASSANDRA-11380
             Project: Cassandra
          Issue Type: New Feature
          Components: Coordination
            Reporter: Wei Deng


Cassandra currently lacks a sophisticated back pressure mechanism to prevent clients ingesting
data at too high throughput. One of the reasons why it hasn't done so is because of its SEDA
(Staged Event Driven Architecture) design. With SEDA, an overloaded thread pool can drop those
droppable messages (in this case, MutationStage can drop mutation or counter mutation messages)
when they exceed the 2-second timeout. This can save the JVM from running out of memory and
crash. However, one downside from this kind of load-shedding based backpressure approach is
that increased number of dropped mutations will increase the chance of inconsistency among
replicas and will likely require more repair (hints can help to some extent, but it's not
designed to cover all inconsistencies); another downside is that excessive writes will also
introduce much more pressure on compaction (especially LCS),  and backlogged compaction will
increase read latency and cause more frequent GC pauses, and depending on the type of compaction,
some backlog can take a long time to clear up even after the write is removed. It seems that
the current load-shedding mechanism is not adequate to address a common bulk loading scenario,
where clients are trying to ingest data at highest throughput possible. We need a more direct
way to tell the client drivers to slow down.

It appears that HBase had suffered similar situation as discussed in HBASE-5162, and they
introduced some special exception type to tell the client to slow down when a certain "overloaded"
criteria is met. If we can leverage a similar mechanism, our dropped mutation event can be
used to trigger such exceptions to push back on the client; at the same time, backlogged compaction
(when the number of pending compactions exceeds a certain threshold) can also be used for
the push back and this can prevent vicious cycle mentioned in https://issues.apache.org/jira/browse/CASSANDRA-11366?focusedCommentId=15198786&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15198786.



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