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https://issues.apache.org/jira/browse/STORM-855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14721215#comment-14721215
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Sriharsha Chintalapani edited comment on STORM-855 at 8/29/15 7:00 PM:
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[~revans2] [~mjsax] Thanks for the details. Looking into this for perf numbers.
https://www2.informatik.hu-berlin.de/~saxmatti/storm-aeolus-benchmark/batchingBenchmark-spout-batching-0.pdf


was (Author: sriharsha):
[~revans2] [~mjsax] Thanks for the details.
[~revans2] do we have any base numbers that we can compare against this patch.

> Add tuple batching
> ------------------
>
>                 Key: STORM-855
>                 URL: https://issues.apache.org/jira/browse/STORM-855
>             Project: Apache Storm
>          Issue Type: New Feature
>            Reporter: Matthias J. Sax
>            Assignee: Matthias J. Sax
>            Priority: Minor
>
> In order to increase Storm's throughput, multiple tuples can be grouped 
> together in a batch of tuples (ie, fat-tuple) and transfered from producer to 
> consumer at once.
> The initial idea is taken from https://github.com/mjsax/aeolus. However, we 
> aim to integrate this feature deep into the system (in contrast to building 
> it on top), what has multiple advantages:
>   - batching can be even more transparent to the user (eg, no extra 
> direct-streams needed to mimic Storm's data distribution patterns)
>   - fault-tolerance (anchoring/acking) can be done on a tuple granularity 
> (not on a batch granularity, what leads to much more replayed tuples -- and 
> result duplicates -- in case of failure)
> The aim is to extend TopologyBuilder interface with an additional parameter 
> 'batch_size' to expose this feature to the user. Per default, batching will 
> be disabled.
> This batching feature has pure tuple transport purpose, ie, tuple-by-tuple 
> processing semantics are preserved. An output batch is assembled at the 
> producer and completely disassembled at the consumer. The consumer output can 
> be batched again, however, independent of batched or non-batched input. Thus, 
> batches can be of different size for each producer-consumer pair. 
> Furthermore, consumers can receive batches of different size from different 
> producers (including regular non batched input).



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