fresh-borzoni opened a new pull request, #2956: URL: https://github.com/apache/fluss/pull/2956
## Summary
Adds batch read for lake-enabled log tables. When a table has datalake
enabled, reads combine lake storage (Paimon/Iceberg) with Fluss log tail. Lake
and log are planned as separate Spark partition, lake tasks read from lake
storage without Fluss connections, log tail tasks reuse the existing reader.
Falls back to pure log reads when no snapshot exists. Only enabled in FULL
startup mode.
Tests cover both Paimon and Iceberg.
**Follow-up PRs**
- PK table lake reads (sort-merge with lake snapshot)
- Streaming with lake bootstrap
- Filter/partition/limit push-down to lake source
- DV support for Paimon
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