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Posted to dev@kafka.apache.org by "Ashwanth Fernando (JIRA)" <ji...@apache.org> on 2013/06/30 00:05:19 UTC
[jira] [Commented] (KAFKA-233) The producer's load balancing logic
can send requests to dead brokers, when using the async producer option
[ https://issues.apache.org/jira/browse/KAFKA-233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13696204#comment-13696204 ]
Ashwanth Fernando commented on KAFKA-233:
-----------------------------------------
Hi, I think I am seeing this already implemented in 0.8. Can we close this if that is the case?
> The producer's load balancing logic can send requests to dead brokers, when using the async producer option
> -----------------------------------------------------------------------------------------------------------
>
> Key: KAFKA-233
> URL: https://issues.apache.org/jira/browse/KAFKA-233
> Project: Kafka
> Issue Type: Bug
> Components: core
> Affects Versions: 0.7
> Reporter: Neha Narkhede
> Labels: newbie
> Original Estimate: 336h
> Remaining Estimate: 336h
>
> The ZK producer, when used with the async producer option does the following
> 1. Create a pool of async producers, one each for a broker registered under /broker/ids
> 2. On each send request, apply the Partitioner, to decide the broker and partition to send the data
> 3. Use the Async producer's send API to enqueue that data into the async producer's queue
> 4. When the data is dequeued by the ProducerSendThread, use the underlying sync producer to send it to the broker
> The load balancing decision is taken in step 2, before entering the queue. This leaves a window of error, equal to the queue length, when a broker can go down. When this happens, potentially, a queue worth of data can fail to reach a broker, and will be dropped by the EventHandler.
> To correct this, the Producer, with the async option, needs to be refactored to allow only a single queue to hold all requests. And the application of the Partitioner should be moved to the end of the queue, in the EventHandler.
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