본문으로 건너뛰기
cccskills
무료GitHub에 공개

migrating-oracle-to-postgres-stored-procedures

Convert Oracle stored procedures and functions, programs stored inside a database, into PostgreSQL equivalents. Preserve parameters and control flow while adapting Oracle syntax, resolving types, and mapping text sorting rules to the target environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE "C"` only when appropriate, locale collations when required). Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.

연동 도구PostgreSQL
설치 방법 보기

이럴 때 유용합니다

  • Convert Oracle procedures to PostgreSQL
  • Resolve parameter types from table definitions
  • Map text sorting rules during migration
  • Review UNION ALL query plans

포함된 파일(1)

  • SKILL.md3.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Migrating Stored Procedures from Oracle to PostgreSQL

Translate Oracle PL/SQL stored procedures and functions to PostgreSQL PL/pgSQL equivalents.

Workflow

Progress:
- [ ] Step 1: Read the Oracle source procedure
- [ ] Step 2: Translate to PostgreSQL PL/pgSQL
- [ ] Step 3: Write the migrated procedure to Postgres output directory

Step 1: Read the Oracle source procedure

Read the Oracle stored procedure from .github/oracle-to-postgres-migration/DDL/Oracle/Procedures and Functions/. Consult the Oracle table/view definitions at .github/oracle-to-postgres-migration/DDL/Oracle/Tables and Views/ for type resolution.

Step 2: Translate to PostgreSQL PL/pgSQL

Apply these translation rules:

  • Translate all Oracle-specific syntax to PostgreSQL equivalents.
  • Preserve original functionality and control flow logic.
  • Keep type-anchored input parameters (e.g., PARAM_NAME IN table_name.column_name%TYPE).
  • Use explicit types (NUMERIC, VARCHAR, INTEGER) for output parameters passed to other procedures — do not type-anchor these.
  • Do not alter method signatures.
  • Do not prefix object names with schema names unless already present in the Oracle source.
  • Leave exception handling and rollback logic unchanged.
  • Do not generate COMMENT or GRANT statements.
  • Apply collation intentionally when ordering text:
    • Use COLLATE "C" only when Oracle-compatible binary ordering is required and no other sort order is specified.
    • If Oracle used explicit linguistic sorting (for example NLS_SORT = French), map to an explicit PostgreSQL locale collation instead of "C".
    • Use SELECT collname, collprovider, collcollate, collctype FROM pg_collation ORDER BY collname; to discover collations in the target environment.
  • Treat UNION ALL as a review checkpoint. Validate plan quality per branch and restructure if combined-branch planning causes regressions (for example, unexpected sequential scans on large tables).
  • Leverage the orafce extension when it improves clarity or fidelity.

Consult the PostgreSQL table/view definitions at .github/oracle-to-postgres-migration/DDL/Postgres/{ProjectName}/Tables and Views/ for target schema details.

Step 3: Write the migrated procedure to Postgres output directory

Place each migrated procedure in its own file under .github/oracle-to-postgres-migration/DDL/Postgres/{ProjectName}/Procedures and Functions/{PACKAGE_NAME_IF_APPLICABLE}/. One procedure per file.

{ProjectName} is the project's assembly/folder name with spaces normalized to - (e.g. MyApp.DataAccess). This matches the path used by the agent and other migration skills.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Get oriented in an unfamiliar codebase
  • Prepare documentation for a project handover
  • Compare documented architecture with implementation
github/awesome-copilot4만2026년 10월 17일 업데이트

Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Assessing a repository’s readiness for AI agents
  • Prioritizing improvements from assessment results
  • Reviewing scores under an organization’s own policy
github/awesome-copilot4만2026년 10월 17일 업데이트

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create project instructions for VS Code Copilot
  • Refresh agent rules after project changes
  • Split monorepo instructions by project area
github/awesome-copilot4만2026년 10월 17일 업데이트

Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Set shared readiness standards across an organization
  • Focus assessments on AI tooling
  • Adjust the importance of individual checks
github/awesome-copilot4만2026년 10월 17일 업데이트

Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Identify ads and keywords to pause
  • Find campaigns and audiences worth scaling
  • Assess whether A/B test results are meaningful
github/awesome-copilot4만2026년 10월 17일 업데이트

Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Add beginner-friendly explanations to existing code
  • Document the reasoning behind syntax and design choices
  • Adjust comment depth for readers with different experience
github/awesome-copilot4만2026년 10월 17일 업데이트

github의 스킬 모두 보기

이 스킬의 문제 신고