Hi Shiva,

On Fri, Apr 28, 2017 at 11:20 AM, Shiva Ramagopal <[email protected]> wrote:

> I'm looking to compare Kafka Streams vs Akka Streams in two areas:
>
> 1. For ingesting between Kafka and HDFS/RDBMS
>
> Requirements are mainly around performance and latency. A Kafka topic can
> have several million events, each corresponding to a database change
> capture. When ingesting this topic into HDFS I'm also looking to partition
> the data by day, typically based on a timestamp field in the event record,
> aggregations on-the-fly (say by a userid field) and parquetizing
> (preferably on the fly to optimize performance by reducing two I/O
> operations).
>

Looking forward to see your benchmark!


>
> 2. Low-latency processing
>
> Experiences around performances of Storm/Flink and Akka Streams would be
> *very* nice. Typical use-cases are de-duping and enrichment with metrics
> computation (# duplicate events/records, aggregate metrics etc). Low
> latency and scalability are main considerations
>

Low latency is not a metric, and scalability is not a profile. :)
In other words: What latency distribution are you targeting and what
scalability curve?


>
> On Thu, Apr 27, 2017 at 8:31 PM, Viktor Klang <[email protected]>
> wrote:
>
>>
>>
>> On Thu, Apr 27, 2017 at 10:39 AM, Shiva Ramagopal <[email protected]>
>> wrote:
>>
>>> Hi,
>>>
>>> I have read through multiple articles describing the SMACK stack but I'm
>>> having difficulty understanding the role of Akka in the stack. How does
>>> Akka fit in?
>>>
>>
>> Akka is for building the application itself.
>>
>>
>>>
>>> Also I would like to know of experiences in using Akka Streams vs Kafka
>>> Connect for ingesting from Kafka into HDFS (Hive) and RDBMS. Has anyone
>>> used Akka Streams for say, dynamic partitioning of events from a Kafka
>>> topic into HDFS?
>>>
>>
>> Based on what requirements?
>>
>>
>>>
>>> TIA
>>> -Shiva
>>>
>>> --
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>>
>>
>>
>> --
>> Cheers,
>> √
>>
>> --
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>
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-- 
Cheers,
√

-- 
>>>>>>>>>>      Read the docs: http://akka.io/docs/
>>>>>>>>>>      Check the FAQ: 
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