dariuszseweryn opened a new pull request, #10934:
URL: https://github.com/apache/nifi/pull/10934

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   # Summary
   
   [NIFI-00000](https://issues.apache.org/jira/browse/NIFI-00000)
   
   As of NIFI-15545, the KafkaConsumerService exposes a 
currentLag(TopicPartitionSummary) method that returns the current consumer lag 
(in records) for a given topic-partition. However, this information is not 
currently utilized by the ConsumeKafka processor.
   
   This ticket adds gauge metric recording to ConsumeKafka so that 
per-partition consumer lag is reported through the NiFi metrics framework via 
ProcessSession.recordGauge(). This enables operators to monitor consumer lag 
through any configured ComponentMetricReporter (e.g., OpenTelemetry).
   ## Changes:
   - OffsetTracker: Added getTrackedPartitions() method to expose the set of 
TopicPartitionSummary keys accumulated during consumption.
   - ConsumeKafka: After the poll loop completes and before the session is 
committed, the processor queries KafkaConsumerService.currentLag() for each 
tracked topic-partition and records a gauge with CommitTiming.SESSION_COMMITTED.
   ## Gauge naming format:
   consumer.lag[topic="<topic>",partition="<partition>"]
   For example: consumer.lag[topic="orders",partition="3"]
   ## Behavior:
   One gauge is recorded per topic-partition that was consumed during the 
onTrigger invocation.
   Gauges are only emitted when currentLag returns a value (it may be 
unavailable in some Kafka client states).
   Gauges use SESSION_COMMITTED timing, meaning they are only reported when the 
session commits successfully.
   No gauges are recorded when no records are consumed (the processor returns 
early before reaching the gauge recording path).
   ## Testing:
   Unit tests added for OffsetTracker.getTrackedPartitions() covering empty, 
single, multi-partition, and deduplication scenarios.
   Integration-style tests added to ConsumeKafkaTest using mocked 
KafkaConsumerService verifying gauge recording for single partition, multiple 
partitions, unavailable lag, and no-records-consumed cases.
   ## Additional fix:
   MockProcessSession did not clear gauges recorded with SESSION_COMMITTED on 
Session commit.
   
   # Tracking
   
   Please complete the following tracking steps prior to pull request creation.
   
   ### Issue Tracking
   
   - [x] [Apache NiFi Jira](https://issues.apache.org/jira/browse/NIFI) issue 
created
   
   ### Pull Request Tracking
   
   - [x] Pull Request title starts with Apache NiFi Jira issue number, such as 
`NIFI-00000`
   - [x] Pull Request commit message starts with Apache NiFi Jira issue number, 
as such `NIFI-00000`
   - [x] Pull request contains [commits 
signed](https://docs.github.com/en/authentication/managing-commit-signature-verification/signing-commits)
 with a registered key indicating `Verified` status
   
   ### Pull Request Formatting
   
   - [x] Pull Request based on current revision of the `main` branch
   - [x] Pull Request refers to a feature branch with one commit containing 
changes
   
   # Verification
   
   Please indicate the verification steps performed prior to pull request 
creation.
   
   ### Build
   
   - [x] Build completed using `./mvnw clean install -P contrib-check`
     - [x] JDK 21
     - [ ] JDK 25
   
   ### Licensing
   
   - [x] (no new) New dependencies are compatible with the [Apache License 
2.0](https://apache.org/licenses/LICENSE-2.0) according to the [License 
Policy](https://www.apache.org/legal/resolved.html)
   - [x] (no new) New dependencies are documented in applicable `LICENSE` and 
`NOTICE` files
   
   ### Documentation
   
   - [x] (no changes) Documentation formatting appears as expected in rendered 
files
   


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