fabric-delta-spark-perf
CommunityDiagnose and optimize Delta Lake + Spark in Fabric.
AuthorPatrickGallucci
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Delta Lake and Spark performance can degrade over time in Fabric Lakehouses due to small files, data skew, and suboptimal configurations. This Skill provides a structured diagnostic workflow and actionable remediation to restore throughput and reduce latency.
Core Features & Use Cases
- End-to-end diagnostics for Delta Lake on Fabric: file health checks, partition assessment, data skew analysis, and Spark config audit.
- Recommended optimizations: OPTIMIZE, VACUUM, V-Order / Z-Order, Optimized Write, and AQE tuning, plus resource-profile guidance.
- Real-world scenarios: slow Spark notebooks, heavy shuffle workloads, and Direct Lake-backed tables.
Quick Start
Activate the skill and run the diagnostic against your Delta Lake table or schema to identify issues, then apply recommended optimizations such as OPTIMIZE, VACUUM, and AQE tuning.
Dependency Matrix
Required Modules
pysparkdelta-spark
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fabric-delta-spark-perf Download link: https://github.com/PatrickGallucci/fabric-skills/archive/main.zip#fabric-delta-spark-perf Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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