spark-consumption-cli
bymicrosoft· 555 skills
Interactive ad-hoc Spark analysis through Fabric Lakehouse Livy API sessions ONLY. This skill NEVER authors or runs a notebook: any notebook cell (%%sql/%%configure) or a notebook-run-by-name (and reporting its run status) is spark-authoring-cli, not this skill. Scope: create a Livy session, execute PySpark, inspect output, and compute quick calculations over lakehouse data (DataFrames, cross-lakehouse joins, Delta time-travel, unstructured/JSON). For Spark failure triage use spark-operations-cli; for plain T-SQL Lakehouse/Warehouse queries use sqldw-consumption-cli. Triggers: "create Livy session", "run Livy calculation", "Livy session calculation", "interactive Livy session", "PySpark", "analyze with PySpark", "Spark DataFrame", "lakehouse with Python", "PySpark data quality", "Delta time-travel with Spark", "join tables across Lakehouses".
How to install spark-consumption-cli?
microsoft/skills-for-fabric/spark-consumption-cli
$npx -y skills add microsoft/skills-for-fabric --skill spark-consumption-cliInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/microsoft/skills-for-fabric" --skill "microsoft/skills-for-fabric/spark-consumption-cli"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/microsoft/skills-for-fabric" that are relevant to the current task. Run `npx skills add "https://github.com/microsoft/skills-for-fabric"` and select the relevant skills, then follow their instructions.
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