When read from multi-partition table, the flink job currentEmitEventTimeLag is always high
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- Java
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Description
### Search before asking
- [x] I searched in the [issues](https://github.com/alibaba/fluss/issues) and found nothing similar.
### Fluss version
0.6.0 (latest release)
### Please describe the bug 🐞
When I try to read from multi-partition table, the flink job currentEmitEventTimeLag is always high:

### Solution
_No response_
### Are you willing to submit a PR?
- [ ] I'm willing to submit a PR!
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reproducing the report against Fluss 0.6.0 with a Flink job reading a multi-partition table, then inspect how currentEmitEventTimeLag behaves across partitions. Compare the observed lag with the expected event-time progress and document a reproducible case and verification criteria for the fix.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- stream-processing
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100