Hi everyone,
We are focusing on improving observability for Flink, we have a vision
to make the latency of every business stream record observable, is
there any idea to implement the feature? looking forward to your
suggestions!
Hi, Banu.
Could you check whether the "Configuration" icon under the "Task Managers" and
"Job Manager" buttons on the left side of the Flink-UI
shows that the currently effective flink conf includes these JVM changes? I
suspect that you are using a session cluster mode, where
changes to the
Hi all,
I see that the Elasticsearch Connector for 8.x is supported per the repo (and
completed JIRAs). Is there a way to reference this via Maven? Or is it required
to build the connector from the source directly?
We recently upgraded an Elasticsearch cluster to 8.x and some of the writes are
Hi Enric,
If I understand correctly, one subtask would use one
`asyncOperationsThreadPool`[1,2], it is possible to use the same
connection for an operator chain.
[1]
https://github.com/apache/flink/blob/master/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/StreamTask
I wrote a FlinkRoundRobinPartitioner extends FlinkKafkaPartitioner and use
it as following:
KafkaSink kafkaSink = KafkaSink.builder()
.setBootstrapServers(sinkServers).setKafkaProducerConfig(props)
.setDeliverGuarantee(DeliveryGuarantee.AT_LEAST_ONCE)
.setRecordSerializer(KafkaRecordSerializationS