n depending of timestamps why not, is it possible with windowing ?
>
>
> Thank Matthias
>
> Adrien
>
> ________
> De : Matthias J. Sax
> Envoyé : dimanche 8 avril 2018 23:04:24
> À : users@kafka.apache.org
> Objet : Re: join 2 topic streams --> to anothe
imestamps why not, is it possible with windowing ?
>
>
> Thank Matthias
>
> Adrien
>
>
> De : Matthias J. Sax
> Envoyé : dimanche 8 avril 2018 23:04:24
> À : users@kafka.apache.org
> Objet : Re: join 2 topic streams --> to another topic
>
che 8 avril 2018 23:04:24
À : users@kafka.apache.org
Objet : Re: join 2 topic streams --> to another topic
Check out this blog post that explain how the different joins work:
https://www.confluent.io/blog/crossing-streams-joins-apache-kafka/
It's hard to give a general answer -- it depends o
The blog is an interesting reading material.
There was a minor typo:
bq. an event arrives for either the left of right input stream
'of' above should be 'or'.
Cheers
On Sun, Apr 8, 2018 at 2:04 PM, Matthias J. Sax
wrote:
> Check out this blog post that explain how the different joins work:
>
Check out this blog post that explain how the different joins work:
https://www.confluent.io/blog/crossing-streams-joins-apache-kafka/
It's hard to give a general answer -- it depends on the context of your
application. Are keys unique? Do you want to get exactly one result or
should a single stoc
Hello all,
I have 2 topics streamed by KStream and one KStream
I want to merge both object's informations (Stock & Dividend) and send to
another topic
with for example
The key of 2 two topic is the same. I need to use, leftJoin, merge,
KTable, ...
what is the best solution ? What do you