Cmak: Metrics explanations

[felipegs]

Hi,
I could not find where to ask this, so I created an issue.

Where I could find the explanation of kafka metrics, for example, what is meaning of Brokers Skewed, Brokers Spread % and so on?

Thanks

[m-ric]

+1

[garyelephant]

+1

[eplanet]

I had the same question today, so here's the answer if it helps.

• Skewed : As you can see in the source code app/kafka/manager/model/ActorModel.scala, a broker is skewed if its number of partitions is greater that the average of partitions per broker on the given topic.
  
  
  
  • Example: 2 brokers share 4 partitions, if one of them has 3 partitions, it is skewed (3 > 2)
  
  
• Spread : As you can see in the source code again app/kafka/manager/model/ActorModel.scala, brokers spread is the percentage of brokers in the cluster that has partitions for the given topic.
  
  
  
  • Example: 3 brokers share a topic that has 2 partitions, so 66% of the brokers have partitions for this topic
  
  

[eplanet]

Since #353 has been merged, would you consider this issue solved?

[andrexuDeveloper]

thank you very much,I think their mean

[felipegs]

yeap

[guilhemmarchand]

Hi there,

I know it's an old issue but this perfectly replied to my wondering about the skew meaning.

However unless I misunderstand what I am seeing does not seem to respect this rule ?

Example:

This topic has 4 partitions for 3 brokers, 1 or the 3 brokers has 2 partitions which is obviously higher than the average number of partition per broker (technically 1.33)

Unless the average number has to be calculated WITHOUT taking in consideration the broker ? (so all brokers but 1)

Thank you!