Aidp Cluster Ops
作者 oracle-samples90b42d6c24d4无许可证50 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新
Manage AIDP Spark compute clusters — list, status, start/stop/restart, installed libraries (JARs/Python), provision/scale a new cluster (driver/worker shapes, autoscale, GPU/RAPIDS, AI Compute), and connect external BI tools (JDBC/ODBC). Use when the user asks about clusters, needs to start/stop compute, create or scale a cluster, install libraries, set up a GPU cluster, use AI Compute for agent flows, connect Tableau/Power BI/DBeaver, or pick a cluster before running data work.
仅公开文件列表。将技能安装到工作区后即可查看文件内容。
| 路径 | 大小 | 类型 |
|---|---|---|
| SKILL.md | 10 KB | text/markdown |
来源与署名
来源：oracle-samples/oracle-aidp-samples位于ai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/skills/aidp-cluster-ops提交90b42d6
许可证： 无许可证
内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。
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Provision and inspect AIDP DataLake instances and workspaces, including private-network workspaces attached to a customer VCN/subnet. Use when the user wants to create/list/get a workspace or DataLake instance, set up a new (e.g. private) AIDP environment, or replicate a customer setup. Create/delete are guarded — confirm before any provisioning.
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维护经过验证的问题到 Spark SQL 配对库，让智能体在生成新 SQL 前优先复用可信查询。
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指导 Apache Spark 3.5.0 性能调优：分区、shuffle、连接、倾斜、内存、文件布局、AQE 与 Delta Lake。
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