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https://issues.apache.org/jira/browse/KAFKA-4386?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pratik kumar updated KAFKA-4386:
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Description:
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?)?
was:
Context :
Kafka Producer 0.8.x
Problem:
Kafka Producer emits metrics regarding request size stats, request latency and
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?)?
> 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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