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fix(ingestion/prefect-plugin): Prefect plugin (#10643)
Co-authored-by: shubhamjagtap639 <[email protected]> Co-authored-by: Tamas Nemeth <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,86 @@ | ||
| name: Prefect Plugin | ||
| on: | ||
| push: | ||
| branches: | ||
| - master | ||
| paths: | ||
| - ".github/workflows/prefect-plugin.yml" | ||
| - "metadata-ingestion-modules/prefect-plugin/**" | ||
| - "metadata-ingestion/**" | ||
| - "metadata-models/**" | ||
| pull_request: | ||
| branches: | ||
| - "**" | ||
| paths: | ||
| - ".github/workflows/prefect-plugin.yml" | ||
| - "metadata-ingestion-modules/prefect-plugin/**" | ||
| - "metadata-ingestion/**" | ||
| - "metadata-models/**" | ||
| release: | ||
| types: [published] | ||
|
|
||
| concurrency: | ||
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | ||
| cancel-in-progress: true | ||
|
|
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| jobs: | ||
| prefect-plugin: | ||
| runs-on: ubuntu-latest | ||
| env: | ||
| SPARK_VERSION: 3.0.3 | ||
| DATAHUB_TELEMETRY_ENABLED: false | ||
| strategy: | ||
| matrix: | ||
| python-version: ["3.8", "3.9", "3.10"] | ||
| include: | ||
| - python-version: "3.8" | ||
| - python-version: "3.9" | ||
| - python-version: "3.10" | ||
| fail-fast: false | ||
| steps: | ||
| - name: Set up JDK 17 | ||
| uses: actions/setup-java@v3 | ||
| with: | ||
| distribution: "zulu" | ||
| java-version: 17 | ||
| - uses: gradle/gradle-build-action@v2 | ||
| - uses: actions/checkout@v3 | ||
| - uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: ${{ matrix.python-version }} | ||
| cache: "pip" | ||
| - name: Install dependencies | ||
| run: ./metadata-ingestion/scripts/install_deps.sh | ||
| - name: Install prefect package | ||
| run: ./gradlew :metadata-ingestion-modules:prefect-plugin:lint :metadata-ingestion-modules:prefect-plugin:testQuick | ||
| - name: pip freeze show list installed | ||
| if: always() | ||
| run: source metadata-ingestion-modules/prefect-plugin/venv/bin/activate && pip freeze | ||
| - uses: actions/upload-artifact@v3 | ||
| if: ${{ always() && matrix.python-version == '3.10'}} | ||
| with: | ||
| name: Test Results (Prefect Plugin ${{ matrix.python-version}}) | ||
| path: | | ||
| **/build/reports/tests/test/** | ||
| **/build/test-results/test/** | ||
| **/junit.*.xml | ||
| !**/binary/** | ||
| - name: Upload coverage to Codecov | ||
| if: always() | ||
| uses: codecov/codecov-action@v3 | ||
| with: | ||
| token: ${{ secrets.CODECOV_TOKEN }} | ||
| directory: . | ||
| fail_ci_if_error: false | ||
| flags: prefect,prefect-${{ matrix.extra_pip_extras }} | ||
| name: pytest-prefect-${{ matrix.python-version }} | ||
| verbose: true | ||
|
|
||
| event-file: | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: Upload | ||
| uses: actions/upload-artifact@v3 | ||
| with: | ||
| name: Event File | ||
| path: ${{ github.event_path }} |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,137 @@ | ||
| # Prefect Integration with DataHub | ||
|
|
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| ## Overview | ||
|
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| DataHub supports integration with Prefect, allowing you to ingest: | ||
|
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| - Prefect flow and task metadata | ||
| - Flow run and Task run information | ||
| - Lineage information (when available) | ||
|
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| This integration enables you to track and monitor your Prefect workflows within DataHub, providing a comprehensive view of your data pipeline activities. | ||
|
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| ## Prefect DataHub Block | ||
|
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| ### What is a Prefect DataHub Block? | ||
|
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| Blocks in Prefect are primitives that enable the storage of configuration and provide an interface for interacting with external systems. The `prefect-datahub` block uses the [DataHub REST](../../metadata-ingestion/sink_docs/datahub.md#datahub-rest) emitter to send metadata events while running Prefect flows. | ||
|
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| ### Prerequisites | ||
|
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| 1. Use either Prefect Cloud (recommended) or a self-hosted Prefect server. | ||
| 2. For Prefect Cloud setup, refer to the [Cloud Quickstart](https://docs.prefect.io/latest/getting-started/quickstart/) guide. | ||
| 3. For self-hosted Prefect server setup, refer to the [Host Prefect Server](https://docs.prefect.io/latest/guides/host/) guide. | ||
| 4. Ensure the Prefect API URL is set correctly. Verify using: | ||
|
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| ```shell | ||
| prefect profile inspect | ||
| ``` | ||
|
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||
| 5. API URL format: | ||
| - Prefect Cloud: `https://api.prefect.cloud/api/accounts/<account_id>/workspaces/<workspace_id>` | ||
| - Self-hosted: `http://<host>:<port>/api` | ||
|
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| ## Setup Instructions | ||
|
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| ### 1. Installation | ||
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| Install `prefect-datahub` using pip: | ||
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| ```shell | ||
| pip install 'prefect-datahub' | ||
| ``` | ||
|
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| Note: Requires Python 3.7+ | ||
|
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| ### 2. Saving Configurations to a Block | ||
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| Save your configuration to the [Prefect block document store](https://docs.prefect.io/latest/concepts/blocks/#saving-blocks): | ||
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| ```python | ||
| from prefect_datahub.datahub_emitter import DatahubEmitter | ||
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| DatahubEmitter( | ||
| datahub_rest_url="http://localhost:8080", | ||
| env="PROD", | ||
| platform_instance="local_prefect" | ||
| ).save("MY-DATAHUB-BLOCK") | ||
| ``` | ||
|
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| Configuration options: | ||
|
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| | Config | Type | Default | Description | | ||
| |--------|------|---------|-------------| | ||
| | datahub_rest_url | `str` | `http://localhost:8080` | DataHub GMS REST URL | | ||
| | env | `str` | `PROD` | Environment for assets (see [FabricType](https://datahubproject.io/docs/graphql/enums/#fabrictype)) | | ||
| | platform_instance | `str` | `None` | Platform instance for assets (see [Platform Instances](https://datahubproject.io/docs/platform-instances/)) | | ||
|
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| ### 3. Using the Block in Prefect Workflows | ||
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| Load and use the saved block in your Prefect workflows: | ||
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| ```python | ||
| from prefect import flow, task | ||
| from prefect_datahub.dataset import Dataset | ||
| from prefect_datahub.datahub_emitter import DatahubEmitter | ||
|
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| datahub_emitter = DatahubEmitter.load("MY-DATAHUB-BLOCK") | ||
|
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| @task(name="Transform", description="Transform the data") | ||
| def transform(data): | ||
| data = data.split(" ") | ||
| datahub_emitter.add_task( | ||
| inputs=[Dataset("snowflake", "mydb.schema.tableA")], | ||
| outputs=[Dataset("snowflake", "mydb.schema.tableC")], | ||
| ) | ||
| return data | ||
|
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| @flow(name="ETL flow", description="Extract transform load flow") | ||
| def etl(): | ||
| data = transform("This is data") | ||
| datahub_emitter.emit_flow() | ||
| ``` | ||
|
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| **Note**: To emit tasks, you must call `emit_flow()`. Otherwise, no metadata will be emitted. | ||
|
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| ## Concept Mapping | ||
|
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| | Prefect Concept | DataHub Concept | | ||
| |-----------------|-----------------| | ||
| | [Flow](https://docs.prefect.io/latest/concepts/flows/) | [DataFlow](https://datahubproject.io/docs/generated/metamodel/entities/dataflow/) | | ||
| | [Flow Run](https://docs.prefect.io/latest/concepts/flows/#flow-runs) | [DataProcessInstance](https://datahubproject.io/docs/generated/metamodel/entities/dataprocessinstance) | | ||
| | [Task](https://docs.prefect.io/latest/concepts/tasks/) | [DataJob](https://datahubproject.io/docs/generated/metamodel/entities/datajob/) | | ||
| | [Task Run](https://docs.prefect.io/latest/concepts/tasks/#tasks) | [DataProcessInstance](https://datahubproject.io/docs/generated/metamodel/entities/dataprocessinstance) | | ||
| | [Task Tag](https://docs.prefect.io/latest/concepts/tasks/#tags) | [Tag](https://datahubproject.io/docs/generated/metamodel/entities/tag/) | | ||
|
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| ## Validation and Troubleshooting | ||
|
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| ### Validating the Setup | ||
|
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| 1. Check the Prefect UI's Blocks menu for the DataHub emitter. | ||
| 2. Run a Prefect workflow and look for DataHub-related log messages: | ||
|
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| ```text | ||
| Emitting flow to datahub... | ||
| Emitting tasks to datahub... | ||
| ``` | ||
|
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| ### Debugging Common Issues | ||
|
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| #### Incorrect Prefect API URL | ||
|
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| If the Prefect API URL is incorrect, set it manually: | ||
|
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| ```shell | ||
| prefect config set PREFECT_API_URL='http://127.0.0.1:4200/api' | ||
| ``` | ||
|
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| #### DataHub Connection Error | ||
|
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| If you encounter a `ConnectionError: HTTPConnectionPool(host='localhost', port=8080)`, ensure that your DataHub GMS service is running. | ||
|
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| ## Additional Resources | ||
|
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| - [Prefect Documentation](https://docs.prefect.io/) | ||
| - [DataHub Documentation](https://datahubproject.io/docs/) | ||
|
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| For more information or support, please refer to the official Prefect and DataHub documentation or reach out to their respective communities. |
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