datalake_fdw: merge-on-read and DML
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还没有人认领这个 Issue。
评估
调研方向
Start with parent issue #2008 and the prerequisite work C and D, then trace WrapPositionDeleteFilter on the hidden row-ordinal column and C's writer. Done means cross-system deletes are visible, UPDATE/DELETE counts and rollback behavior are correct, concurrent commits do not lose updates, and scans remain within the tracked memory budget.
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描述
Part of #2008. Letters (A, B0–B7, C, D, E) are the PRs listed there; this is E.
Scope
- Merge-on-read:
WrapPositionDeleteFilterimplemented on the hidden row-ordinal column; position deletes applied while scanning, equality deletes after. DELETEandUPDATE: rows identified by (file, position) through the scan, written as position delete files;UPDATEis delete plus insert through C's writer; one snapshot per statement.- A commit that loses the race is retried or fails with a serialization error, never silently dropped.
VACUUMstays the current no-op; compaction and snapshot expiry are a follow-up issue.
Out of scope
Copy-on-write, partition evolution, branches and tags (#1683 §2.3).
Depends on
C, D.
Acceptance
- Deletes made in Cloudberry are seen by Spark and the reverse.
UPDATE/DELETEcounts match; a rolled-back statement changes nothing visible.- Two concurrent transactions on one table: one commits, the other fails or retries; no lost update.
- A scan over many small delete files stays within the tracked memory budget.
- 主要语言
- C
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- 提交 Pull Request，并在描述里引用这个 Issue 编号。
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