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https://issues.apache.org/jira/browse/SPARK-33833?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17258692#comment-17258692
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L. C. Hsieh commented on SPARK-33833:
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Hmm, I did a few test locally. Does Burrow work only if Spark commits offset
progress back to Kafka?
I added some code to commit offset progress to Kafka. After I checked
"__consumer_offsets" topic of Kafka, I found that no matter Spark commits the
progress to Kafka or not, the record of the consumer group of the Spark SS
query is always in "__consumer_offsets".
Based on https://github.com/linkedin/Burrow/wiki, Burrow checks consumer groups
info from this "__consumer_offsets" topic. So if either Spark commits or not,
there will be a record about the consumer group, does it mean Burrow still
works without Spark committing offset progress to Kafka?
> Allow Spark Structured Streaming report Kafka Lag through Burrow
> ----------------------------------------------------------------
>
> Key: SPARK-33833
> URL: https://issues.apache.org/jira/browse/SPARK-33833
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.0.1
> Reporter: Sam Davarnia
> Priority: Major
>
> Because structured streaming tracks Kafka offset consumption by itself,
> It is not possible to track total Kafka lag using Burrow similar to DStreams
> We have used Stream hooks as mentioned
> [here|https://medium.com/@ronbarabash/how-to-measure-consumer-lag-in-spark-structured-streaming-6c3645e45a37]
>
> It would be great if Spark supports this feature out of the box.
>
>
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