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datalake_fdw: Builtin catalog

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评估

难度
5/5
预计耗时
一周以上
新手友好度
25/100
Issue 类型
功能
描述清晰度
基本清楚
活跃度
活跃
技术栈
c
领域
databases

调研方向

Start by reading the B2 and B3 dependencies, #2008, and #1683 §4, then inspect src/meta/engine_builtin/ and the engine interface documentation. Use MinIO and the agent to run the DDL and full conformance suite, including rollback and concurrent-writer cases. Done means Spark opens the table by path, rollback preserves HEAD, and only one concurrent writer commits.

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描述

datalake

Part of #2008. Letters (A, B0–B7, C, D, E) are the PRs listed there; this is B4.

Scope

The type-unset case of #1683 §4: a lake table with no catalog service, only object storage. The first catalog to work end to end, so C and D develop and test against MinIO and the agent alone.

  • src/meta/engine_builtin/: each table's current metadata_location in an extension-owned table on the coordinator; commit is a conditional update under a row lock inside the transaction — atomic with the statement, and across tables.
  • Metadata work delegated to B3 by location; the agent holds no state for these tables.
  • Other engines open the table by path (HadoopCatalog / FileIO).
  • The two commit regimes (builtin: atomic with the transaction; external catalogs: an in-doubt window) written into the engine interface docs.
Out of scope

Sharing a builtin table between two clusters.

Depends on

B2, B3.

Acceptance
  • DDL and the full conformance suite green with only MinIO and the agent running; rollback leaves the HEAD unchanged.
  • Spark opens the table by path and sees Cloudberry's metadata.
  • Two concurrent writers: one commits, the other errors; no lost update.
主要语言
C
星标
1.4k
派生
248
平均合并
4 天 10 小时
30 天内合并 PR
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