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A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
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正在載入完整 README。 以下為已儲存的摘錄。
Rocky compiles SQL models, reports supported static problems, and helps you review changes before execution.
Rocky works with Databricks, Snowflake, BigQuery, and DuckDB. You keep your warehouse and your existing SQL. Apache 2.0.
The failures that cost the most are the quiet ones. A source column can change
type. Someone can rename a column and break downstream models. Rocky reports
type and contract problems when the available SQL, schemas, and configuration
make them visible. A clean compile does not prove every query will run in a
warehouse or produce correct values.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Rocky compiles SQL models, reports supported static problems, and helps you review changes before execution.
Rocky works with Databricks, Snowflake, BigQuery, and DuckDB. You keep your warehouse and your existing SQL. Apache 2.0.
The failures that cost the most are the quiet ones. A source column can change
type. Someone can rename a column and break downstream models. Rocky reports
type and contract problems when the available SQL, schemas, and configuration
make them visible. A clean compile does not prove every query will run in a
warehouse or produce correct values.檢視完整 README ↗