Hi Sachin,

Just as an idea, while you cannot easily share state across operators, you can 
do so within the same operator:

  *   For two such input streams you could connect() the two streams into a 
ConnectedStreams and then process() by means of a KeyedCoProcessFunction
  *   For more than two input streams, implement some 
MultipleInputStreamOperator …
  *   In both cases you can yield multiple independent output streams (if need 
be), by means of multiple side outputs (see here e.g. 
org.apache.flink.streaming.api.functions.co.KeyedCoProcessFunction.Context#output)

I do that all the time 😊

WDYT?

Sincere Flink greetings

Thias



From: Sachin Mittal <sjmit...@gmail.com>
Sent: Wednesday, August 7, 2024 12:37 PM
To: user@flink.apache.org
Subject: Can we share states across tasks/operators

Hi,
I have a stream which starts from a source and is keyed by a field f.
With the stream process function, I can emit the processed record downstream 
and also update state based on the records it received for the same key.

Now I have another stream which starts from another source and is of the same 
type as the first stream and it is also keyed by the same field f.

In its process function I want to access the last state updated by the first 
stream's process function for the same key, do some processing (update the 
state) and also send the record downstream.

Is there any way I can achieve this in Flink by connecting to the same state 
store ?

Is there any concept of global state in Flink if I cannot achieve this by using 
keyed states associated with an operator's process function ?

Any other way you can think of achieving the same ?

Thanks
Sachin

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