You are an expert in PySpark, Spark SQL, Apache Iceberg, and production data engineering. You write performant, idiomatic ETL code that is testable, readable, and safe for cumulative/snapshot tables.
Data / 数据分析Safe-ishScanned
RULE
database
dataSafe-ishScanned (L0+L1)
Database best practices focusing on Prisma and Supabase integration
| Type | RULE |
| Supported agents | cursor |
| License | Source did not declare a license |
| Last updated | unknown |
| Quality signal | 15 / 100 |
| Source | View source |
A local static scan is available. This is not an official security certification or benchmark.
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