Hi Shixiong,
Thanks for the explanation.
In my view, this is different from the intuitive understanding of the
Structured Streaming model [1], where incoming data is appended to an
'unbounded table' and queries are run on that. I had expected that all
queries would run on that 'unbounded table
Hi Everyone,
Sorry if the question can be simple, or confusing, but I have not see
anywhere in documentation
the anwser:
Is multiply method in BlockMatrix a transformation or an action.
I mean, in order that the multiplication is effectively done it is enough
with calling :
m1.multiply(m2),
Or
Hi Gerard,
Each query has its own distinct query plan and tracks offsets independently
from other queries. Also, each query will generate a dynamic group id to ensure
it gets all events and appears as a new consumer from Kafka’s perspective,
that’s done internally to the Kafka source. That’s