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Jun Rao commented on KAFKA-2063: -------------------------------- [~nepal], thanks for the proposal. For a), which server side setting are you referring to? Is it replica.fetch.max.bytes? If we want to remove the per partition limit in the fetch request, we probably just want to deprecate replica.fetch.max.bytes as well. For b), it seems that the only goal of reordering is for every partition to make progress. If this is the case, we probably don't need to do anything more than just simple randomization/round robin of the partitions. Could you clarify btw c) and d)? They seem to be in conflict. Doing round robin on the client side is probably a bit better than randomization since it's more deterministic, but requires every client to do the implementation. We will have to document this clearly in the request protocol. > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)