Comments (5)
@em-pe Should we abandon <0.17 altogether?
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@michalzelechowski-getindata I think that would be a way to go.
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@em-pe @michalzelechowski-getindata can we use the plug-in with kedro==0.17.4?
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@em-pe @michalzelechowski-getindata can we use the plug-in with kedro==0.17.4?
Hi @jacobweiss2305, this feature was actually about dropping support of kedro 0.16, and plugin supports kedro 0.17.x as well. We haven't checked plugin with the exact version of 0.17.4, but we have used it successfully with other versions, so I am fairly sure it will work.
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@jacobweiss2305 I'm using the plugin on 0.17.4, everything works as expected
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Related Issues (20)
- Make it possible to override Kedro parameters when triggering run HOT 1
- kedro-airflow-k8s does not support KEDRO_ENV
- Compile step broken with kedro==0.18.0 HOT 3
- Add support for --dag-name flag to schedule step.
- Ensure pipeline works when git not initialized
- Fix typo in docs/03_getting_started/01_quickstart.md HOT 1
- Replace hardcoded '/opt' in project_path in spark job with PROJECT_HOME env HOT 1
- ValueError: Failed to format pattern '${xxx}': no config value found, no default provided HOT 6
- Add custom script injection to airflow_spark_task_template HOT 1
- Invalid status in Mlflow during pipeline execution
- Airflow run dag with config HOT 4
- feature request: Group kedro nodes in same DAG task
- Update kedro dependencies HOT 1
- Add support for python 3.9 and 3.10
- Set up Dependabot and CodeQL
- Update kfp dependencies HOT 1
- Add ability to specify service accounts and imagePullSecrets to run the pipeline with
- Invalid configuration generated by `kedro airflow-k8s init` HOT 3
- kedro-airflow-k8s[gcp] depends on nonexistent library HOT 2
- Authentication to MLFlow
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