Stig Rohde Døssing created STORM-2542:
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             Summary: Deprecate storm-kafka-client KafkaConsumer.subscribe API 
subscriptions on 1.x and remove them as options in 2.x
                 Key: STORM-2542
                 URL: https://issues.apache.org/jira/browse/STORM-2542
             Project: Apache Storm
          Issue Type: Improvement
          Components: storm-kafka-client
    Affects Versions: 2.0.0, 1.1.0
            Reporter: Stig Rohde Døssing
            Assignee: Stig Rohde Døssing


Most of this is copied off the mailing list post:

We've recently seen some issues raised by users using the default subscription 
API in the new KafkaSpout (https://issues.apache.org/jira/browse/STORM-2514, 
https://issues.apache.org/jira/browse/STORM-2538).

A while ago an alternative subscription implementation was added 
(https://github.com/apache/storm/pull/1835), which uses the 
KafkaConsumer.assign API instead.

The {{subscribe}} API used by default causes Kafka to assign partitions to 
available consumers automatically. It allows a consumer group to keep 
processing even in the presence of crashes because partitions are reassigned 
when a consumer becomes unavailable.

The {{assign}} API used in the alternative subscription implementation leaves 
it up to the consuming code to figure out a reasonable partition distribution 
among a consumer group. This is basically how the storm-kafka code worked.

Storm already ensures that all spout instances are running, and restarts them 
if they crash, so we're not really gaining much by using the subscribe API.

The disadvantages to using the subscribe API are:

* Whenever an executor crashes, the Kafka cluster reassigns all partitions. 
This causes all KafkaSpout instances in that consumer group to pause until 
reassignment is complete.

* The partition assignment is random, so it is difficult for users to predict 
which partitions are assigned to which spout task.

* The subscribe API is extremely likely to cause hangs and other weird behavior 
if the KafkaSpout is configured to run multiple tasks in an executor. When 
KafkaConsumer.poll is called during partition reassignment, it will block until 
the reassignment is complete. If there are multiple consumers in a thread, the 
first consumer to get called will block, and the other consumer will get 
ejected from the list of active consumers after a timeout, because it didn't 
manage to call poll during the rebalance. See the example code in 
https://issues.apache.org/jira/browse/STORM-2514, which runs two KafkaConsumers 
in one thread. The result is that they flip flop between being active, and most 
polls take ~30 seconds (the Kafka session timeout)

* The random assignment of partitions causes more message duplication than is 
necessary. When an executor crashes, all the other executors have their 
partitions reassigned. This makes it likely that some of them will lose a 
partition they had in-flight tuples on, which they will then be unable to 
commit to Kafka. The message is then reemitted by whichever KafkaSpout instance 
was assigned the partition. See https://issues.apache.org/jira/browse/STORM-2538

I'd like to drop support for the subscribe API, and switch to using the assign 
API by default.

The KafkaConsumer Javadoc even mentions applications like Storm as a case where 
the {{subscribe}} API doesn't really add value.

{quote}
If the process itself is highly available and will be restarted if it fails 
(perhaps using a cluster management framework like YARN, Mesos, or AWS 
facilities, or as part of a stream processing framework). In this case there is 
no need for Kafka to detect the failure and reassign the partition since the 
consuming process will be restarted on another machine. 
{quote}



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