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#39178
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Merged
Lee-W
merged 9 commits into
apache:main
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astronomer:contribute-databricks-notebook-operator
Apr 26, 2024
Merged
Add DatabricksNotebookOperator
#39178
Lee-W
merged 9 commits into
apache:main
from
astronomer:contribute-databricks-notebook-operator
Apr 26, 2024
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tatiana
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It's looking very good, @pankajkoti , thanks for contributing this!
pankajkoti
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Apr 23, 2024
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tatiana
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Apr 23, 2024
sunank200
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Apr 24, 2024
DatabricksNotebookOperator
Lee-W
reviewed
Apr 25, 2024
Co-authored-by: Tatiana Al-Chueyr <tatiana.alchueyr@gmail.com>
Co-authored-by: Wei Lee <weilee.rx@gmail.com>
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Lee-W
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Apr 26, 2024
pankajkoti
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May 14, 2024
related: #39178 This PR intends to make DatabricksNotebookOperator deferrable
pankajkoti
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May 30, 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 #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>
fdemiane
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Jun 6, 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>
romsharon98
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to romsharon98/airflow
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this pull request
Jul 26, 2024
related: apache#39178 This PR intends to make DatabricksNotebookOperator deferrable
romsharon98
pushed a commit
to romsharon98/airflow
that referenced
this pull request
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>
pankajkoti
added a commit
to astronomer/astro-provider-databricks
that referenced
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Aug 8, 2024
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
kosteev
pushed a commit
to GoogleCloudPlatform/composer-airflow
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Nov 9, 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/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
kosteev
pushed a commit
to GoogleCloudPlatform/composer-airflow
that referenced
this pull request
May 6, 2025
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
kosteev
pushed a commit
to GoogleCloudPlatform/composer-airflow
that referenced
this pull request
May 26, 2025
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
kosteev
pushed a commit
to GoogleCloudPlatform/composer-airflow
that referenced
this pull request
Sep 22, 2025
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
kosteev
pushed a commit
to GoogleCloudPlatform/composer-airflow
that referenced
this pull request
Oct 19, 2025
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
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named
{pr_number}.significant.rstor{issue_number}.significant.rst, in newsfragments.