AcademyRulesData and reporting
Data engineering teams that want PySpark jobs written in a consistent, testable way.
mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/pyspark-etl-best-practices-cursorrules-prompt-file.mdc -o .cursor/rules/pyspark-etl-best-practices.mdcThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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A Cursor rules file for writing and reviewing PySpark ETL code. It covers a base ETL class that manages the Spark session, configuration through a factory function, and code that is testable and safe for cumulative or snapshot tables, with Spark SQL and Apache Iceberg in mind.
Data engineering teams that want PySpark jobs written in a consistent, testable way. A Cursor rules file for writing and reviewing PySpark ETL code. It covers a base ETL class that manages the Spark session, configuration through a factory function, and code that is testable and safe for cumulative or snapshot tables, with Spark SQL and Apache Iceberg in mind.
Run this in your terminal: mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/pyspark-etl-best-practices-cursorrules-prompt-file.mdc -o .cursor/rules/pyspark-etl-best-practices.mdc
Yes. The code is on GitHub (PatrickJS/awesome-cursorrules) under the CC0-1.0 licence.
It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.