Actions364
- Continuous Activity Actions
- Dataset Actions
- Get Last Metric Values
- Get Metadata
- Get Schema
- Get Single Metric History
- List Datasets
- List Partitions
- Compute Metrics
- Create Dataset
- Create Managed Dataset
- Delete Data
- Delete Dataset
- Execute Tables Import
- Get Column Lineage
- Get Data
- Get Data - Alternative Version
- Get Dataset Settings
- Get Full Info
- List Tables
- List Tables Schemas
- Prepare Tables Import
- Run Checks
- Set Metadata
- Set Schema
- Synchronize Hive Metastore
- Update Dataset Settings
- Update From Hive Metastore
- API Service Actions
- Bundles Automation-Side Actions
- Bundles Design-Side Actions
- Connection Actions
- Dashboard Actions
- Data Collection Actions
- Data Quality Actions
- Compute Rules on Specific Partition
- Create Data Quality Rules Configuration
- Delete Rule
- Get Data Quality Project Current Status
- Get Data Quality Project Timeline
- Get Data Quality Rules Configuration
- Get Dataset Current Status
- Get Dataset Current Status per Partition
- Get Last Outcome on Specific Partition
- Get Last Rule Results
- Get Rule History
- Update Rule Configuration
- DSS Administration Actions
- Job Actions
- Library Actions
- Dataset Statistic Actions
- Discussion Actions
- Flow Documentation Actions
- Insight Actions
- Internal Metric Actions
- LLM Mesh Actions
- Machine Learning - Lab Actions
- Delete Visual Analysis
- Deploy Trained Model to Flow
- Download Model Documentation of Trained Model
- Generate Model Documentation From Custom Template
- Start Training ML Task
- Update User Metadata for Trained Model
- Update Visual Analysis
- Adjust Forecasting Parameters and Algorithm
- Compute Partial Dependencies of Trained Model
- Compute Subpopulation Analysis of Trained Model
- Create ML Task
- Create Visual Analysis
- Create Visual Analysis and ML Task
- Generate Model Documentation From Default Template
- Generate Model Documentation From File Template
- Get ML Task Settings
- Get ML Task Status
- Get Model Snippet
- Get Partial Dependencies of Trained Model
- Get Scoring Jar of Trained Model
- Get Scoring PMML of Trained Model
- Get Subpopulation Analysis of Trained Model
- Get Trained Model Details
- Get Visual Analysis
- List ML Tasks of Project
- List ML Tasks of Visual Analyses
- List Visual Analyses
- Reguess ML Task
- Machine Learning - Saved Model Actions
- Compute Partial Dependencies of Version
- Get Version Scoring PMML
- Get Version Snippet
- Import MLflow Version From File or Path
- List Saved Models
- List Versions
- Set Version Active
- Compute Subpopulation Analysis of Version
- Create Saved Model
- Delete Version
- Download Model Documentation of Version
- Evaluate MLflow Model Version
- Generate Model Documentation From Custom Template
- Generate Model Documentation From Default Template
- Generate Model Documentation From File Template
- Get MLflow Model Version Metadata
- Get Partial Dependencies of Version
- Get Saved Model
- Get Subpopulation Analysis of Version
- Get Version Details
- Get Version Scoring Jar
- Set Version User Meta
- Update Saved Model
- Long Task Actions
- Machine Learning - Experiment Tracking Actions
- Macro Actions
- Plugin Actions
- Download Plugin
- Fetch From Git Remote
- Get File Detail From Plugin
- Get Git Remote Info
- Get Plugin Settings
- Install Plugin From Git
- Install Plugin From Store
- List Files in Plugin
- List Git Branches
- List Plugin Usages
- Move File or Folder in Plugin
- Add Folder to Plugin
- Create Development Plugin
- Create Plugin Code Env
- Delete File From Plugin
- Delete Git Remote Info
- Delete Plugin
- Download File From Plugin
- Move Plugin to Dev Environment
- Pull From Git Remote
- Push to Git Remote
- Rename File or Folder in Plugin
- Reset to Local Head State
- Reset to Remote Head State
- Set Git Remote Info
- Set Plugin Settings
- Update Plugin Code Env
- Update Plugin From Git
- Update Plugin From Store
- Update Plugin From Zip Archive
- Upload File to Plugin
- Upload Plugin
- Project Deployer Actions
- Get Deployment Settings
- Get Deployment Status
- Create Deployment
- Create Infra
- Create Project
- Delete Bundle
- Delete Deployment
- Delete Infra
- Delete Project
- Get Deployment
- Get Deployment Governance Status
- Get Infra
- Get Infra Settings
- Get Project
- Get Project Settings
- Save Deployment Settings
- Save Infra Settings
- Save Project Settings
- Update Deployment
- Upload Bundle
- SQL Query Actions
- Wiki Actions
- Managed Folder Actions
- Meaning Actions
- Model Comparison Actions
- Notebook Actions
- Project Actions
- Project Folder Actions
- Recipe Actions
- Scenario Actions
- Security Actions
- Streaming Endpoint Actions
- Webapp Actions
- Workspace Actions
Overview
This node integrates with the Dataiku DSS API, enabling users to perform a wide range of operations on various Dataiku DSS resources. Specifically, for the Plugin resource and the Update Plugin From Zip Archive operation, the node uploads a ZIP archive file containing a plugin and re-installs it in the Dataiku DSS instance.
This functionality is useful when you want to update an existing plugin by providing a new version packaged as a ZIP file. It automates the process of uploading and reinstalling plugins without manual intervention in the Dataiku DSS UI.
Practical example:
- You have developed a new version of a Dataiku DSS plugin locally, packaged it as a ZIP archive, and want to deploy this updated plugin to your DSS instance programmatically via n8n.
Properties
| Name | Meaning |
|---|---|
| Plugin ID | The unique identifier of the plugin to update. Required to specify which plugin to update. |
| File | The ZIP archive file content (binary) representing the plugin package to upload and install. |
Output
The node outputs the response from the Dataiku DSS API after attempting to update the plugin from the ZIP archive. The output is provided in JSON format and typically contains information about the success or failure of the update operation, including any relevant metadata returned by the API.
If the operation involves downloading files (not applicable here), the node can output binary data representing the downloaded file. For this operation, the output is JSON only.
Dependencies
- Requires valid Dataiku DSS API credentials, including:
- The URL of the Dataiku DSS server.
- A user API key for authentication.
- The node uses HTTP requests to communicate with the Dataiku DSS REST API.
- The node expects the ZIP archive file to be provided as binary data input under the property "File".
Troubleshooting
Missing Credentials Error:
If the node throws an error about missing Dataiku DSS API credentials, ensure that you have configured the required API key credential in n8n before running the node.Required Parameters Missing:
The node validates the presence of the Plugin ID and the ZIP file. If either is missing, it will throw an error indicating the missing parameter.API Request Failures:
Errors returned from the Dataiku DSS API are wrapped and reported with messages like "Error calling Dataiku DSS API: ...". Check the API key permissions, plugin ID correctness, and the validity of the ZIP archive.File Upload Issues:
Ensure the ZIP file is correctly loaded as binary data in n8n and referenced properly in the "File" property.
Links and References
- Dataiku DSS API Documentation (general reference for API endpoints)
- Dataiku DSS Plugins Guide (for understanding plugin packaging and deployment)
Note: This summary focuses on the "Plugin" resource and the "Update Plugin From Zip Archive" operation as requested. The node supports many other resources and operations not covered here.