Add DatabricksNotebookOperator
#39178
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It's looking very good, @pankajkoti , thanks for contributing this!
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DatabricksNotebookOperator
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Co-authored-by: Tatiana Al-Chueyr <tatiana.alchueyr@gmail.com>
Co-authored-by: Wei Lee <weilee.rx@gmail.com>
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related: #39178 This PR intends to make DatabricksNotebookOperator deferrable
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This pull request introduces the [DatabricksWorkflowTaskGroup](https://github.com/astronomer/astro-provider-databricks/blob/main/src/astro_databricks/operators/workflow.py#L226) to the Airflow Databricks provider from the [astro-provider-databricks](https://github.com/astronomer/astro-provider-databricks/tree/main) repository. It marks another pull request aimed at contributing operators and features from that repository into the Airflow Databricks provider, the previous PR being #39178. The task group launches a [Databricks Workflow](https://docs.databricks.com/en/workflows/index.html) and runs the notebook jobs from within it, resulting in a [75% cost reduction](https://www.databricks.com/product/pricing) ($0.40/DBU for all-purpose compute, $0.07/DBU for Jobs compute) when compared to executing ``DatabricksNotebookOperator`` outside of ``DatabricksWorkflowTaskGroup``. --------- Co-authored-by: Daniel Imberman <daniel.imberman@gmail.com> Co-authored-by: Tatiana Al-Chueyr <tatiana.alchueyr@gmail.com> Co-authored-by: Wei Lee <weilee.rx@gmail.com>
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This pull request introduces the [DatabricksWorkflowTaskGroup](https://github.com/astronomer/astro-provider-databricks/blob/main/src/astro_databricks/operators/workflow.py#L226) to the Airflow Databricks provider from the [astro-provider-databricks](https://github.com/astronomer/astro-provider-databricks/tree/main) repository. It marks another pull request aimed at contributing operators and features from that repository into the Airflow Databricks provider, the previous PR being apache#39178. The task group launches a [Databricks Workflow](https://docs.databricks.com/en/workflows/index.html) and runs the notebook jobs from within it, resulting in a [75% cost reduction](https://www.databricks.com/product/pricing) ($0.40/DBU for all-purpose compute, $0.07/DBU for Jobs compute) when compared to executing ``DatabricksNotebookOperator`` outside of ``DatabricksWorkflowTaskGroup``. --------- Co-authored-by: Daniel Imberman <daniel.imberman@gmail.com> Co-authored-by: Tatiana Al-Chueyr <tatiana.alchueyr@gmail.com> Co-authored-by: Wei Lee <weilee.rx@gmail.com>
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related: apache#39178 This PR intends to make DatabricksNotebookOperator deferrable
romsharon98
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Jul 26, 2024
This pull request introduces the [DatabricksWorkflowTaskGroup](https://github.com/astronomer/astro-provider-databricks/blob/main/src/astro_databricks/operators/workflow.py#L226) to the Airflow Databricks provider from the [astro-provider-databricks](https://github.com/astronomer/astro-provider-databricks/tree/main) repository. It marks another pull request aimed at contributing operators and features from that repository into the Airflow Databricks provider, the previous PR being apache#39178. The task group launches a [Databricks Workflow](https://docs.databricks.com/en/workflows/index.html) and runs the notebook jobs from within it, resulting in a [75% cost reduction](https://www.databricks.com/product/pricing) ($0.40/DBU for all-purpose compute, $0.07/DBU for Jobs compute) when compared to executing ``DatabricksNotebookOperator`` outside of ``DatabricksWorkflowTaskGroup``. --------- Co-authored-by: Daniel Imberman <daniel.imberman@gmail.com> Co-authored-by: Tatiana Al-Chueyr <tatiana.alchueyr@gmail.com> Co-authored-by: Wei Lee <weilee.rx@gmail.com>
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As part of Astronomer's internal plans and decisions, we've decided to contribute the existing functionality provided by the operators and plugins in this repository to the official Apache Airflow Databricks provider. To achieve this, we submitted the following PRs to the Airflow provider: 1. apache/airflow#39178 2. apache/airflow#39771 3. apache/airflow#40013 4. apache/airflow#40724 5. apache/airflow#39295 All functionality has now been contributed to the Airflow Databricks provider, and ongoing support will be maintained there. As a result, we're deprecating the operators and plugins in this repository. Users are encouraged to transition to the official Apache Airflow Databricks provider as soon as possible. The migration process is straightforward—simply update the import path to point to the Airflow provider and ensure that you install `apache-airflow-providers-databricks>=6.8.0`, which includes all the contributions mentioned above. closes: astronomer/issues-airflow#715
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This pull request introduces the [DatabricksWorkflowTaskGroup](https://github.com/astronomer/astro-provider-databricks/blob/main/src/astro_databricks/operators/workflow.py#L226) to the Airflow Databricks provider from the [astro-provider-databricks](https://github.com/astronomer/astro-provider-databricks/tree/main) repository. It marks another pull request aimed at contributing operators and features from that repository into the Airflow Databricks provider, the previous PR being apache/airflow#39178. The task group launches a [Databricks Workflow](https://docs.databricks.com/en/workflows/index.html) and runs the notebook jobs from within it, resulting in a [75% cost reduction](https://www.databricks.com/product/pricing) ($0.40/DBU for all-purpose compute, $0.07/DBU for Jobs compute) when compared to executing ``DatabricksNotebookOperator`` outside of ``DatabricksWorkflowTaskGroup``. --------- Co-authored-by: Daniel Imberman <daniel.imberman@gmail.com> Co-authored-by: Tatiana Al-Chueyr <tatiana.alchueyr@gmail.com> Co-authored-by: Wei Lee <weilee.rx@gmail.com> GitOrigin-RevId: 2ecf7fa07d6d681c73ae4831801f9d98db298d89
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This pull request introduces the DatabricksNotebookOperator
to the Airflow Databricks provider from the astro-provider-databricks
repository.
It marks one of the initial pull requests aimed at contributing
operators and features from that repository into the Airflow
Databricks provider.
^ Add meaningful description above
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