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core/src/main/scala/kafka/consumer/ConsumerConfig.scala
<https://reviews.apache.org/r/23655/#comment84474>

    In the new consumer config, we call this partition.assignment.strategy. It 
would be good if we make them consistent.



core/src/main/scala/kafka/consumer/PartitionAllocator.scala
<https://reviews.apache.org/r/23655/#comment84475>

    License header.



core/src/main/scala/kafka/consumer/PartitionAllocator.scala
<https://reviews.apache.org/r/23655/#comment84946>

    Could we make this api a bit more general so that we can reuse it in the 
new consumer? I was thinking of sth like
    
    def allocate(partitions: List[TopicPartition], consumers: 
List[ConsumerItem])
    
    case class ConsumerItem(consumerId: String, subscribedTopics: List[String])
    



core/src/main/scala/kafka/consumer/PartitionAllocator.scala
<https://reviews.apache.org/r/23655/#comment84948>

    Not sure if we need both Symmetric and round-robin, if we order the list of 
consumers by sth like their hashcode. It would also be useful to add an example 
in the comment that illustrates how the assignment works.



core/src/main/scala/kafka/consumer/ZookeeperConsumerConnector.scala
<https://reviews.apache.org/r/23655/#comment84949>

    Perhaps we can keep the name and the corresponding allocation instance in 
sth like a PartitionAllocatorFactory?



core/src/main/scala/kafka/consumer/ZookeeperConsumerConnector.scala
<https://reviews.apache.org/r/23655/#comment84950>

    Do we need this metric? Would the ConsumerOffsetChecker be suffice?



core/src/test/scala/unit/kafka/consumer/PartitionAllocatorTest.scala
<https://reviews.apache.org/r/23655/#comment84953>

    License header.


- Jun Rao


On July 18, 2014, 10:57 p.m., Joel Koshy wrote:
> 
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> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/23655/
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> 
> (Updated July 18, 2014, 10:57 p.m.)
> 
> 
> Review request for kafka.
> 
> 
> Bugs: KAFKA-687
>     https://issues.apache.org/jira/browse/KAFKA-687
> 
> 
> Repository: kafka
> 
> 
> Description
> -------
> 
> The updated diff contains the mbeans for ownership counts.
> The comments in the code and the summary are pretty self-explanatory.
> 
> Things to think about:
> * Naming - do symmetric/range/roundrobin make sense?
> * The comments briefly summarize why we needed a separate symmetric mode but 
> let me know if that is unclear.
> * Rebalance time will be slightly higher - I have not measured (will do that)
> 
> 
> Diffs
> -----
> 
>   core/src/main/scala/kafka/consumer/ConsumerConfig.scala 
> 1cf2f62ba02e4aa66bfa7575865e5d57baf82212 
>   core/src/main/scala/kafka/consumer/PartitionAllocator.scala PRE-CREATION 
>   core/src/main/scala/kafka/consumer/TopicCount.scala 
> c79311097c5bd6718cb6a7fc403f804a1a939353 
>   core/src/main/scala/kafka/consumer/ZookeeperConsumerConnector.scala 
> 65f518d47c7555c42c4bff39c211814831f4b8b6 
>   core/src/main/scala/kafka/metrics/KafkaMetricsGroup.scala 
> a20ab90165cc7ebb1cf44078efe23a53938c8df6 
>   core/src/main/scala/kafka/utils/ZkUtils.scala 
> dcdc1ce2b02c996294e19cf480736106aaf29511 
>   core/src/test/scala/unit/kafka/consumer/PartitionAllocatorTest.scala 
> PRE-CREATION 
> 
> Diff: https://reviews.apache.org/r/23655/diff/
> 
> 
> Testing
> -------
> 
> * I did the unit tests (including the new one) as well as mirror maker system 
> test suite with roundrobin. While this is being reviewed I will run the 
> system tests with symmetric
> 
> 
> Thanks,
> 
> Joel Koshy
> 
>

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