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From "stack (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-16583) Staged Event-Driven Architecture
Date Fri, 09 Sep 2016 19:14:20 GMT

    [ https://issues.apache.org/jira/browse/HBASE-16583?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15477995#comment-15477995

stack commented on HBASE-16583:

Thanks [~apurtell]. Yeah, handoff between threads via a Queue is a demonstrable performance

[~yangzhe1991] -1 on SEDA as the title of this JIRA but +1 on the discussion you have provoked
by opening this issue (smile)

> Staged Event-Driven Architecture
> --------------------------------
>                 Key: HBASE-16583
>                 URL: https://issues.apache.org/jira/browse/HBASE-16583
>             Project: HBase
>          Issue Type: Umbrella
>            Reporter: Phil Yang
> Staged Event-Driven Architecture (SEDA) splits request-handling logic into several stages,
each stage is executed in a thread pool and they are connected by queues.
> Currently, in region server we use a thread pool to handle requests from client. The
number of handlers is configurable, reading and writing use different pools. The current architecture
has two limitations:
> Performance:
> Different part of the handling path has different bottleneck. For example, accessing
MemStore and cache mainly consumes CPU but accessing HDFS mainly consumes network/disk IO.
If we use SEDA and split them into two different stages, we can use different numbers for
two pools according to the CPU/disk/network performance case by case.
> Availability:
> HBASE-16388 described a scene that if the client use a thread pool and use blocking methods
to access region servers, only one slow server may exhaust most of threads of the client.
For HBase, we are the client and HDFS datanodes are the servers. A slow datanode may exhaust
most of handlers. The best way to resolve this issue is make HDFS requests non-blocking, which
is exactly what SEDA does.

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