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From Guozhang Wang <wangg...@gmail.com>
Subject Re: aggregation tables mirrored in kafka & rocksdb
Date Wed, 28 Feb 2018 21:31:56 GMT
Hello Nicu,

For your aggregation application, is it windowed or non windowed? If it is
windowed aggregation then you can specify your window specs so that the
underlying RocksDB state store would only keep the most recent windows,
while your Cassandra keeps the full history of all past windows.

You can, of course, implement your own state store that directly talk to
Cassandra (the StateStore interfaces allows users to customize their own
storage mechanism, either local or remote), but to optimize latency you may
want to have some local in-memory caches with write-back to batch access to
your Cassandra cluster.


Guozhang


On Wed, Feb 28, 2018 at 5:45 AM, Marasoiu, Nicu <
nicu.marasoiu@metrosystems.net> wrote:

> Hi,
> Currently we have an aggregation system (without kafka) where events are
> aggregated into Cassandra tables holding aggregate results.
> We are considering moving to a KafkaStreams solution with exactly-once
> processing but in this case it seems that all the aggregation tables
> (reaching TB) need to be kept also in Kafka as ktables(Rocksdb)+compacted
> topics(Kafka) and the direction of computation would be: events topic -> KS
> aggregation -> aggregated topics -> one way sync to Cassandra using
> connector.
> This poses two problems:
> - the doubling on the total storage required for the system (which mainly
> stores aggregates), from 3 C* replicas to 2-3 K replicas + Rocksdb
> - the time to reconstruct a Rocksdb instance during rollover update can be
> half an hour if the rollover is fast
>
> Is there any way in Kafka Streams (even dropping the exactly once) in
> which we can work just with aggregate tables in Cassandra? For sure there
> is a way working with Kafka Consumer, pulling a batch of messages,
> aggregating, and adding aggregate to Cassandra. Not sure if possible with
> KafkaStreams given the higher level / FP modeling with its own clear
> advantages but this disadvantage.
> Please advise,
> Nicu Marasoiu
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-- 
-- Guozhang

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