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https://issues.apache.org/jira/browse/KAFKA-4386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15650180#comment-15650180
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Pratik kumar edited comment on KAFKA-4386 at 11/9/16 9:20 AM:
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Just for clarification:
Async producers use sync producers internally to send batched
messages(TopicPartition X ByteBufferMessageSet). So each invocation of send in
sync producer should contain a collection of messages for a particular broker
rather than single messages.
These metrics are released for each call to this method , which encapsulates
the above functionality . So shouldn't these metrics be tracked for each
batch(for each broker) rather than request level?
was (Author: pratik.kumar):
Just for clarification:
Async producers use sync producers internally to send batched
messages(TopicPartition X ByteBufferMessageSet). So each invocation of send in
sync producer should contain the a collection of messages rather than a single
message.
These metrics are released for each call to this method , which encapsulates
the above functionality . So shouldn't these metrics be tracked for each batch
rather than request level?
> Producer Metrics Explanation
> ----------------------------
>
> Key: KAFKA-4386
> URL: https://issues.apache.org/jira/browse/KAFKA-4386
> Project: Kafka
> Issue Type: Bug
> Components: producer
> Reporter: Pratik kumar
> Labels: producer
>
> Context :
> Kafka Producer 0.8.x
> Problem:
> Kafka Producer emits metrics regarding request size stats, request latency
> and request rate stats.
> But the inherent meaning of the these metrics are not clear. What does this
> measure?
> Is for each producer send request(which contains batches of messages per
> broker)? OR Is it for a batch of messages defined according to user batching
> policy? What happens when some application code has multiple async producers
> to increase performance (how are rate and percentiles measured?)?
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