[spark] Add union read for lake-enabled log tables#2956
Open
fresh-borzoni wants to merge 2 commits intoapache:mainfrom
Open
[spark] Add union read for lake-enabled log tables#2956fresh-borzoni wants to merge 2 commits intoapache:mainfrom
fresh-borzoni wants to merge 2 commits intoapache:mainfrom
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
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