I skimmed some files of storm-redis, but I'm still curious that what's the
key point from storm-redis.
So I have some questions.

- Is Redis for skipping completed tuples when root tuple is replayed, or
continue processing tuple from last state?
- Do users need to handle states it by his/her hand?
- Does it still beat Storm if failing tuple rate is very low or none?
- Can we still get a higher throughput when we drop Redis? (In case of not
collaborating with Redis with some situation, for example, license issue)

In addition, Calculator.java seems to a user-defined bolt, but it
communicates to Redis directly to store states of tuple, which it should be
hidden.

It seems to lack something to use it for general purposes.

ps. I encourage you to use latest Jedis, which has fixed many bugs since
2.2.1. Latest version is 2.6.0, and hopefully we'll release 2.6.1 in a few
days.


2014-11-04 5:31 GMT+09:00 Abhishek Bhattacharjee <
[email protected]>:

> Hi,
> We ( me and the CCed persons) are maintaining a project on github
> which manages to implement stateful-ness in storm.
>
> We have got some encouraging results through our benchmarking.
> We would like to know what more could be done so that the project could
> be inculcated into @stormprocessor
>
> Github link for our project: https://github.com/pict2014/storm-redis
>
> We are hoping for a reply.
>
> Cheers,
> *Abhishek Bhattacharjee*
> *Pune Institute of Computer Technology*
>



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