We also evaluated Spark Streaming as well as Storm before settling on Samza for
our work. Our reason was the confidence and modularity that comes with having
Kafka between each job in the topology. Being able to treat each job as a
separate deployment makes ongoing development much easier and w
Hi Navina,
Sure , I will do it with great pleasure.
And a little about why we have moved from Spark Streaming to Samza :
The main reason was the job scheduling on each batch processing. Also, we need
to process messages one by one, which means whenever the message is consumed it
needs to be p
Hi Aram,
I think a Cassandra producer will definitely be useful for some of the
Samza users. It will be great if you can contribute back to Samza!
I am also curious to understand what motivated you to move off from Spark
Streaming.
Thanks!
Navina
On Tue, Nov 10, 2015 at 11:21 PM, Bae, Jae Hyeon
Hi Jae,
The main reason was the job scheduling on each batch processing. Also, we
need to process messages one by one, which means whenever the message is
consumed it needs to be processed immediately.
Thanks.
On Wed, Nov 11, 2015 at 11:21 AM, Bae, Jae Hyeon wrote:
> Hi Aram
>
> May I know wh
Hi Aram
May I know why you're moving off from Spark streaming to Samza?
On Tue, Nov 10, 2015 at 11:04 PM, Aram Mkrtchyan <
aram.mkrtch...@picsart.com.invalid> wrote:
> Hi Yi,
> Many thanks! :)
> It's wonderful ! We really need samza-hdfs module.
> Thanks to samza being very simple we have been a
Hi Yi,
Many thanks! :)
It's wonderful ! We really need samza-hdfs module.
Thanks to samza being very simple we have been able to create cassandra
producer for samza and we can share it if you think it's will be useful for
others.
Thanks.
On Wed, Nov 11, 2015 at 9:13 AM, Yi Pan wrote:
> Hi, Aram
Hi, Aram,
Welcome to the community! :) We are planning to release 0.10 in this month
and YES HDFS producer is included in this release!
-Yi
On Tue, Nov 10, 2015 at 3:18 AM, Aram Mkrtchyan <
aram.mkrtch...@picsart.com.invalid> wrote:
> Hi guys,
>
> We are considering to move from spark streaming