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DataFusion Backup

I need to know how to take backup of DataFusion Instanc.

Can anyone help me.

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Data Fusion doesn't have a direct mechanism to back up the entire instance itself. However, you can back up and restore the essential components of your Data Fusion pipelines using the following methods:

Backing Up Pipeline Metadata:

  • Export Pipelines: You can export your pipelines as JSON files from the Data Fusion UI or using the CLI. This will save the pipeline structure, configuration, and dependencies.

    • Using Data Fusion UI: Navigate to the 'Pipelines' section, select the pipeline, and click on the 'Export' button to save the configuration as a JSON file.
    • Using CLI:
     
    gcloud data-fusion instances export-instance-pipeline \
    --location=<LOCATION> \
    --instance=<INSTANCE_ID> \
    --pipeline-name=<PIPELINE_NAME> \
    --output=<OUTPUT_FILE_PATH>
    
  • Version Control: Store the exported JSON files in a version control system (like Git) for safekeeping and to track changes.

Backing Up Pipeline Artifacts (Optional):

  • Plugins: If you've installed custom plugins, back up the plugin JAR files.
  • Custom Libraries: If your pipelines use custom libraries, make sure to back them up as well.

Restoring from Backups:

  • Pipelines: Import the JSON files back into Data Fusion to recreate the pipelines.

    • Using Data Fusion UI: Navigate to the 'Pipelines' section and use the 'Import' button to upload the JSON file.
    • Using CLI:
     
    gcloud data-fusion instances import-instance-pipeline \
    --location=<LOCATION> \
    --instance=<INSTANCE_ID> \
    --input=<INPUT_FILE_PATH>
    
  • Plugins: Reinstall any custom plugins from the backed-up JAR files.

  • Libraries: Ensure the necessary libraries are accessible to your Data Fusion instance.

Important Considerations:

  • Instance Configuration: Document your Data Fusion instance configuration (version, network settings, etc.) in case you need to recreate the instance.
  • Cloud Storage Buckets: If your pipelines interact with Cloud Storage buckets, ensure you have appropriate backups of the data in those buckets.
  • Schedules: If your pipelines have schedules, make a note of them so you can recreate the schedules after restoring the pipelines.

Additional Tips:

  • Automation: Consider automating the backup process using the Data Fusion REST API or Cloud Functions to regularly export your pipeline metadata.
  • Testing: Test the restoration process periodically to ensure you can successfully recover your pipelines.

Official Documentation:

Refer to the official documentation for more details on backing up and restoring instance data in Cloud Data Fusion:

Cloud Data Fusion Backup and Restore: https://cloud.google.com/data-fusion/docs/concepts/restore-instance-data

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2 REPLIES 2

Data Fusion doesn't have a direct mechanism to back up the entire instance itself. However, you can back up and restore the essential components of your Data Fusion pipelines using the following methods:

Backing Up Pipeline Metadata:

  • Export Pipelines: You can export your pipelines as JSON files from the Data Fusion UI or using the CLI. This will save the pipeline structure, configuration, and dependencies.

    • Using Data Fusion UI: Navigate to the 'Pipelines' section, select the pipeline, and click on the 'Export' button to save the configuration as a JSON file.
    • Using CLI:
     
    gcloud data-fusion instances export-instance-pipeline \
    --location=<LOCATION> \
    --instance=<INSTANCE_ID> \
    --pipeline-name=<PIPELINE_NAME> \
    --output=<OUTPUT_FILE_PATH>
    
  • Version Control: Store the exported JSON files in a version control system (like Git) for safekeeping and to track changes.

Backing Up Pipeline Artifacts (Optional):

  • Plugins: If you've installed custom plugins, back up the plugin JAR files.
  • Custom Libraries: If your pipelines use custom libraries, make sure to back them up as well.

Restoring from Backups:

  • Pipelines: Import the JSON files back into Data Fusion to recreate the pipelines.

    • Using Data Fusion UI: Navigate to the 'Pipelines' section and use the 'Import' button to upload the JSON file.
    • Using CLI:
     
    gcloud data-fusion instances import-instance-pipeline \
    --location=<LOCATION> \
    --instance=<INSTANCE_ID> \
    --input=<INPUT_FILE_PATH>
    
  • Plugins: Reinstall any custom plugins from the backed-up JAR files.

  • Libraries: Ensure the necessary libraries are accessible to your Data Fusion instance.

Important Considerations:

  • Instance Configuration: Document your Data Fusion instance configuration (version, network settings, etc.) in case you need to recreate the instance.
  • Cloud Storage Buckets: If your pipelines interact with Cloud Storage buckets, ensure you have appropriate backups of the data in those buckets.
  • Schedules: If your pipelines have schedules, make a note of them so you can recreate the schedules after restoring the pipelines.

Additional Tips:

  • Automation: Consider automating the backup process using the Data Fusion REST API or Cloud Functions to regularly export your pipeline metadata.
  • Testing: Test the restoration process periodically to ensure you can successfully recover your pipelines.

Official Documentation:

Refer to the official documentation for more details on backing up and restoring instance data in Cloud Data Fusion:

Cloud Data Fusion Backup and Restore: https://cloud.google.com/data-fusion/docs/concepts/restore-instance-data

Hello,

What version of gcloud are you using? I've tried with the actual latest (482.0.0) but data-fusion is beta command only and "export-instance-pipeline" and "import-instance-pipeline" command don't exist.

Is there a way to backup plugins and custom libraries? Or should I have the JAR files in my pc?

Regards