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https://issues.apache.org/jira/browse/KAFKA-2063?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15399909#comment-15399909
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Jay Kreps commented on KAFKA-2063:
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[~benstopford] 
1. I guess the question is how do you load balance over topics. So say your 
request level max bytes is 10MB, and let's say you have lot's of backlog of 
data on all partitions, does it make sense to get 10MB of a single partition or 
would you rather get a little from each (I'm actually not sure, I think what 
you're proposing may be fine)? There may be some implications for Streams since 
it tries to align partition consumption by time (cc [~guozhang]).
2. I agree that could potentially be better though we've generally preferred 
putting the smarts on the server rather than the clients.

> Bound fetch response size
> -------------------------
>
>                 Key: KAFKA-2063
>                 URL: https://issues.apache.org/jira/browse/KAFKA-2063
>             Project: Kafka
>          Issue Type: Improvement
>            Reporter: Jay Kreps
>
> Currently the only bound on the fetch response size is 
> max.partition.fetch.bytes * num_partitions. There are two problems:
> 1. First this bound is often large. You may chose 
> max.partition.fetch.bytes=1MB to enable messages of up to 1MB. However if you 
> also need to consume 1k partitions this means you may receive a 1GB response 
> in the worst case!
> 2. The actual memory usage is unpredictable. Partition assignment changes, 
> and you only actually get the full fetch amount when you are behind and there 
> is a full chunk of data ready. This means an application that seems to work 
> fine will suddenly OOM when partitions shift or when the application falls 
> behind.
> We need to decouple the fetch response size from the number of partitions.
> The proposal for doing this would be to add a new field to the fetch request, 
> max_bytes which would control the maximum data bytes we would include in the 
> response.
> The implementation on the server side would grab data from each partition in 
> the fetch request until it hit this limit, then send back just the data for 
> the partitions that fit in the response. The implementation would need to 
> start from a random position in the list of topics included in the fetch 
> request to ensure that in a case of backlog we fairly balance between 
> partitions (to avoid first giving just the first partition until that is 
> exhausted, then the next partition, etc).
> This setting will make the max.partition.fetch.bytes field in the fetch 
> request much less useful and we  should discuss just getting rid of it.
> I believe this also solves the same thing we were trying to address in 
> KAFKA-598. The max_bytes setting now becomes the new limit that would need to 
> be compared to max_message size. This can be much larger--e.g. setting a 50MB 
> max_bytes setting would be okay, whereas now if you set 50MB you may need to 
> allocate 50MB*num_partitions.
> This will require evolving the fetch request protocol version to add the new 
> field and we should do a KIP for it.



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