Ok thanks.
From: Kyle Lahnakoski
Sent: 25 August 2025 18:51
To: Kamal Mittal ; user@flink.apache.org
Subject: Re: Sharing data among flink operator pipeline
You don't often get email from kyle.lahnako...@xe.com. Learn why this is
important<https://aka.ms/LearnAboutSenderIdentificatio
@flink.apache.org
Subject: RE: Sharing data among flink operator pipeline
No, I am not talking about Kafka Message Key. Rather key/value pair which comes
separately as below.
Headers org.apache.kafka.clients.consumer.ConsumerRecord.headers()
From: Nikola Milutinovic
Sent: 25 August 2025 14:56
To: user
mailto:user@flink.apache.org>>
Date: Thursday, August 21, 2025 at 11:35 AM
To: user@flink.apache.org<mailto:user@flink.apache.org>
mailto:user@flink.apache.org>>
Subject: Sharing data among flink operator pipeline
Hello,
I have a scenario like for kafka source where kafka heade
unsubscribe
原始邮件
发件人:Nikola Milutinovic
: Thursday, August 21, 2025 at 11:35 AM
To: user@flink.apache.org
Subject: Sharing data among flink operator pipeline
Hello,
I have a scenario like for kafka source where kafka headers also come along
with kafka record/event. Kafka headers fetched need to share/pass to
next/parallel operators in
unsubscribe
原始邮件
发件人:Pedro Mázala
Hello there, Kamal!
Whenever I need to keep passing data downstream, I reflect it on my POJO.
Usually, I call those fields metadata and access them downstream. The state
will also segment data by operator, in other words, an operator cannot
access stored data from other operators (unless you use b
Hello,
I have a scenario like for kafka source where kafka headers also come along
with kafka record/event. Kafka headers fetched need to share/pass to
next/parallel operators in pipeline.
So, is there any way to share data across operator pipeline?
Explored keyed state which has limitation th