Matching Catalog Properties with Java

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開始於 2026年10月26日。

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難度
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Issue 類型
功能
描述清晰度
基本清楚
活躍度
活躍
技術堆疊
python
領域
backend

研究方向

The issue lists configuration property differences across catalogs, REST, S3, ADLS, and GCS, but asks whether the community values compatibility before any implementation begins. Start by reading the configuration handling and tests for the listed integrations, then identify which properties should match Java. Done means the scope and expected behavior are agreed for each property; the issue does not identify files or tests.

由索引模型根據 Issue 內容生成。

描述

Feature Request / Improvement

I was doing some analysis of the accepted configuration properties in Python vs. Java. We have a number of them in Python that don't fully match with Java (list below, generated by Claude)

Before we start generating PRs for any of these, does the community find any value in making these properties match Java (where appropriate)?

--

Catalogs
  • DynamoDB: accept dynamodb.table-name (Python reads table-name)
  • Hive: accept iceberg.hive.lock-check-min-wait-ms / iceberg.hive.lock-check-max-wait-ms (Python reads lock-check-min-wait-time / lock-check-max-wait-time in seconds)
  • Hive: accept hive.metastore.table.owner / hive.metastore.database.owner (Python reads the table property owner)
  • SQL: accept jdbc.init-catalog-tables / jdbc.schema-version (Python reads init_catalog_tables / schema_version)
  • Glue / DynamoDB: fall back to client.region and client.* credentials (Python reads glue.* / dynamodb.*)
REST
  • Accept rest.auth.type (none / basic / oauth2 / sigv4 / google) as well as the nested auth.type config (Python uses noop, Java uses none)
  • Accept rest.auth.basic.username / rest.auth.basic.password
  • Accept rest.auth.type=sigv4 as well as rest.sigv4-enabled=true
  • Accept rest.remote-signing.endpoint and s3.remote-signing-enabled (Python reads s3.signer.uri / s3.signer.endpoint / s3.signer)
S3
  • Accept s3.sse.type / s3.sse.key (Python reads s3.server-side-encryption / s3.sse-kms-key-id)
  • Accept client.assume-role.arn / client.assume-role.session-name (Python reads s3.role-arn, client.role-arn, *.role-session-name)
  • Accept s3.path-style-access (inverse of Python's s3.force-virtual-addressing)
  • Accept http-client.proxy-endpoint (Python reads s3.proxy-uri)
  • Accept http-client.*.connection-timeout-ms (Python reads s3.connect-timeout in seconds)
ADLS / GCS
  • ADLS: accept adls.auth.shared-key.account.name / adls.auth.shared-key.account.key (Python reads adls.account-name / adls.account-key)
  • ADLS: accept adls.connection-string.<account> per account (Python reads only a single adls.connection-string)
  • GCS: accept gcs.user-project (closest Python equivalent: gcs.requester-pays)
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環境準備

  • 沒有 Dockerfile 或 Docker Compose 檔案
  • 有 Pull Request 範本
  • 沒有貢獻指南

從這裡開始

  1. 先讀完整個 Issue，再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫，在一個分支上完成修改。
  4. 送出 Pull Request，並在描述裡引用這個 Issue 編號。

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