Related Issues (20)
- [Bug] New test failure for `tests/functional/adapter/test_constraints.py::TestSparkIncrementalConstraintsRollback::test__constraints_enforcement_rollback` HOT 2
- [CI/CD Improvements] Migrate to `hatch` and standardize workflows
- Import relevant pytest(s) for cross-database `cast` macro
- [Bug] New test failure for `tests/functional/adapter/test_python_model.py::TestPythonIncrementalModelSpark::test_incremental`
- [Bug] dbt run will fail if default namespace doesn't exist. HOT 1
- [Bug] Cannot run unit tests against Spark/Hudi, receiving "NoneType is not iterable" error HOT 3
- [ADAP-1085] [Bug] When using iceberg format, dbt docs generate is unable to populate the columns information HOT 1
- [ADAP-1093] [Feature] Run integration tests against all supported python versions
- [Feature] Support HTTP transport protocol for Thrift method
- [Feature] Support OCI Dataflow as a backend for dbt-spark
- `dbt-core` Dockerfile does not work for `dbt-spark` due to `PyHive` HOT 2
- [Bug] CI is broken on `main` due to dependency resolution and timeout issues HOT 1
- [Feature] Spike on supporting Py3.12 in dbt-spark
- [Bug] The tblproperties are not applied when using Python Model to create a table HOT 1
- [Issue] sasl as a dependency HOT 3
- [Feature] Livy connection support for Spark SQL models
- [Unit Testing] Add functional tests for unit testing: HOT 1
- [Bug] dbt docs generate does not include Data Type (data stored in iceberg format) HOT 2
- [Bug] flake8 code smells HOT 1
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