datalake_agent: Polaris (REST) catalog
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评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 35/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- c, docker, spark
调研方向
Start by reading B3 (#2008) and the CatalogManagementService scope, then run the conformance setup against Apache Polaris or the Iceberg REST fixture with MinIO. Done means the acceptance checks pass: bidirectional Spark visibility, correct DROP behavior, and exactly one snapshot after a retried timeout.
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描述
Part of #2008. Letters (A, B0–B7, C, D, E) are the PRs listed there; this is B5.
Scope
The first external catalog provider.
RESTCatalog: OAuth2 client credentials or bearer token,warehouse, vended credentials so a volume can be omitted.polarisaccepted as an alias ofrest, as in the fdw whitelist.- Commit through the catalog's CAS; B3's
operation_idstore covers the in-doubt window between "committed" and "the client heard". - Drop with and without purge; namespaces through
CatalogManagementService. - End-to-end against Apache Polaris (or the Iceberg REST fixture image) plus MinIO in docker.
Out of scope
Hive, Hadoop. Anything the REST spec leaves optional and Polaris does not serve.
Depends on
B3.
Acceptance
- Conformance suite green against Polaris; a table Cloudberry creates is visible to Spark in the same catalog, and the reverse.
DROP TABLEwith and withoutpurge_on_dropbehaves as the option says.- A commit retried after a simulated timeout yields exactly one snapshot.
- 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
- 40
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- 提交 Pull Request，并在描述里引用这个 Issue 编号。
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