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Posted to dev@kafka.apache.org by "Jun Rao (Issue Comment Edited) (JIRA)" <ji...@apache.org> on 2011/11/14 01:35:51 UTC

[jira] [Issue Comment Edited] (KAFKA-50) kafka intra-cluster replication support

    [ https://issues.apache.org/jira/browse/KAFKA-50?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13149400#comment-13149400 ] 

Jun Rao edited comment on KAFKA-50 at 11/14/11 12:34 AM:
---------------------------------------------------------

The dependencies of the sub-jiras look like the following:

48
49
47 <-- 46,44/45  <-- 43,42,41
  
This means that initially, 47,48,49 can be worked on independently.
                
      was (Author: junrao):
    The dependencies of the sub-jiras look like the following:

48
49
47 <- 46         <- 43
         44/45        42
                         41
  
This means that initially, 47,48,49 can be worked on independently.
                  
> kafka intra-cluster replication support
> ---------------------------------------
>
>                 Key: KAFKA-50
>                 URL: https://issues.apache.org/jira/browse/KAFKA-50
>             Project: Kafka
>          Issue Type: New Feature
>            Reporter: Jun Rao
>            Assignee: Jun Rao
>             Fix For: 0.8
>
>         Attachments: kafka_replication_highlevel_design.pdf, kafka_replication_lowlevel_design.pdf
>
>
> Currently, Kafka doesn't have replication. Each log segment is stored in a single broker. This limits both the availability and the durability of Kafka. If a broker goes down, all log segments stored on that broker become unavailable to consumers. If a broker dies permanently (e.g., disk failure), all unconsumed data on that node is lost forever. Our goal is to replicate every log segment to multiple broker nodes to improve both the availability and the durability. 
> We'd like to support the following in Kafka replication: 
> 1. Configurable synchronous and asynchronous replication 
> 2. Small unavailable window (e.g., less than 5 seconds) during broker failures 
> 3. Auto recovery when a failed broker rejoins 
> 4. Balanced load when a broker fails (i.e., the load on the failed broker is evenly spread among multiple surviving brokers)

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