fabric-pandas-perf-remediate

@patrickgallucci · 收录于 1 周前

Troubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks. Use when diagnosing slow pandas operations, toPandas() out-of-memory errors, pandas API on Spark (pyspark.pandas) bottlenecks, DataFrame conversion failures, collect() memory issues, driver memory exhaustion, notebook cell timeouts, or when optimizing pandas workloads for Fabric capacity. Covers pandas vs Spark DataFrame conversion, memory profiling, broadcast joins, shuffle tuning, resource profiles, and Native Execution Engine integration.

场景数据管道调优内存溢出排查

适合你，如果在 Microsoft Fabric 中处理 pandas 时遇到性能瓶颈或内存错误

/ 下载安装

https://github.com/PatrickGallucci/fabric-skills/tree/main/skills/fabric-pandas-perf-remediate ↗

/ 通过 npx 安装 校验哈希

npx oh-my-skill add patrickgallucci/fabric-skills/fabric-pandas-perf-remediate

/ 通过 bash 安装

curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- patrickgallucci/fabric-skills/fabric-pandas-perf-remediate

/ 已经装过?验证本机副本,不用重装

npx oh-my-skill verify patrickgallucci/fabric-skills/fabric-pandas-perf-remediate

安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。

15GitHub stars

~2.8K最小装载

~12.6K含声明引用

~12.6K文本包总量

索引托管

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。

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