sqlmesh
https://github.com/tobikodata/sqlmesh
Python
Efficient data transformation and modeling framework that is backwards compatible with dbt.
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- Issues
- Iceberg Catalog Type Mismatch Issue with "drop_data_object_on_type_mismatch"
- Spark using HMS on iceberg tables - downstream tables are not replaced in virtual envs
- Default sampling for plan/evaluate
- condition property for built-in audits is undocumented
- Feature Request: Improve Audit Support for View Models in SQLMesh
- Feature request: CI/CD bot reaction to deploy comment
- Feature request: Forced restatement of incremental models on merge to prod, e.g. using `stamp`
- Lack of examples for `SCD_TYPE_2_BY_TIME` usage
- Rationale for MAX_TABLE_COMMENT_LENGTH=1024 for BigQuery (official quota 16,384)
- Feature Request: Use table-swap strategy instead of `DELETE ... WHERE TRUE` for FULL models
- Docs
- Python not yet supported