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aidp-migration

Guide a migration of notebooks/jobs from another platform (e.g. Databricks) into AIDP. Use when the user wants to port Databricks notebooks/jobs to AIDP, move workloads onto the AIDP lakehouse, or plan a migration. Orchestration-only — it composes the other self-contained aidp-* skills; it adds no new API surface.

ソース情報

リポジトリ
oracle-samples/oracle-aidp-samples
ソースの最終更新活動
2026年6月12日 18:15
検出された SKILL.md の言語
英語
スター
47
フォーク
32

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SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
aidp-migration
description
Guide a migration of notebooks/jobs from another platform (e.g. Databricks) into AIDP. Use when the user wants to port Databricks notebooks/jobs to AIDP, move workloads onto the AIDP lakehouse, or plan a migration. Orchestration-only — it composes the other self-contained aidp-* skills; it adds no new API surface.
# `aidp-migration` — guided migration into AIDP Plan and execute a migration of notebooks/jobs onto AIDP by composing the other skills. Adds no new API surface — it sequences ingestion, notebooks, pipelines, and validation. Like every skill in this plugin it is self-contained: control-plane ops run via `oci raw-request` and interactive Spark-SQL/cell execution runs via the bundled `scripts/aidp_sql.py`. No MCP server or `ai-data-engineer-agent` repo is required. ## When to use - "Migrate these Databricks notebooks/jobs to AIDP", "move this workload onto AIDP", "plan a migration". ## Workflow 1. **Inventory** the source assets (notebooks, jobs/schedules, tables, libraries) — list what must move. 2. **Land data**: ingest source tables/files (`aidp-ingest-file-to-table`; external sources via the spark-connectors plugin + `aidp-federate`). 3. **Port notebooks**: recreate notebooks in the workspace (`aidp-notebooks` / `aidp-workspace-files`), adapting platform-specifics (paths, `compute:///` defaultFS caveats, cluster/session APIs, Delta vs other formats). Validate cells run with the bundled helper (`python "$PLUGIN_DIR/scripts/aidp_sql.py" … --code …`). 4. **Recreate jobs**: build the task DAG + schedule (`aidp-pipelines`), heeding the `clusterName`-UUID pitfall and `NOTEBOOK_TASK`/`dependsOn` shape. 5. **Validate**: profile + quality-check migrated tables (`aidp-profiling-tables`, `aidp-data-quality`); compare row counts/aggregates against the source; dry-run the job and inspect output. 6. **Cut over**: only after validation; keep the source as fallback until confirmed. ## Engines (inherited from the composed skills) - **Control-plane** (workspaces, catalogs, tables, clusters, jobs, files) → `oci raw-request` against the AIDP REST API — see [references/oci-raw-request.md](../../references/oci-raw-request.md) and [references/no-mcp-rest-map.md](../../references/no-mcp-rest-map.md). - **Interactive Spark-SQL / cell execution** (validate ported cells, compare counts/aggregates) → `python "$PLUGIN_DIR/scripts/aidp_sql.py" --region <r> --datalake <OCID> --workspace <ws> --cluster <key> --code <…>`. ## Notes - Common AIDP gotchas to apply during porting: `compute:///` defaultFS (executors can't write the driver FS; size APIs return 0 — measure via `oci://`), manifest commit semantics for external tables, and the `clusterName`-UUID pitfall when wiring jobs. - Keep scope to AIDP-native migration. OAC and OCI networking are out of scope. - This is a guided, human-confirmed process — no bulk automated conversion claims. ## References - composes `aidp-ingest-file-to-table`, `aidp-notebooks`, `aidp-workspace-files`, `aidp-pipelines`, `aidp-profiling-tables`, `aidp-data-quality`, `aidp-federate` - [references/oci-raw-request.md](../../references/oci-raw-request.md) · [references/no-mcp-rest-map.md](../../references/no-mcp-rest-map.md) · `scripts/aidp_sql.py`
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