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 Dataiku DSS resources directly from n8n workflows. It supports managing projects, datasets, plugins, dashboards, machine learning models, scenarios, and many other Dataiku DSS entities.
The "Install Plugin From Store" operation under the "Plugin" resource allows users to install a plugin from the Dataiku Store into their DSS instance. This is useful for automating plugin installation as part of deployment or setup workflows, ensuring that required plugins are available without manual intervention.
Practical examples:
- Automatically install a new plugin from the store when setting up a new DSS environment.
- Integrate plugin installation into CI/CD pipelines for Dataiku projects.
- Manage plugin lifecycle programmatically by installing or updating plugins via workflow automation.
Properties
| Name | Meaning |
|---|---|
| Request Body | JSON object containing the request payload to send with the API call. |
Note: The "Request Body" property is used to provide any necessary data for the API request, depending on the specific operation.
Output
The node outputs an array of items where each item contains either:
- A
jsonfield with the parsed JSON response from the Dataiku DSS API, representing the result of the requested operation. - A
binaryfield if the response is a file download (e.g., plugin zip archive), containing the binary data of the downloaded file. - A
textfield if the response is a plain string that cannot be parsed as JSON. - A JSON object with logs in case of log retrieval operations.
The output structure varies depending on the operation but generally reflects the raw API response content.
Dependencies
- Requires an active connection to a Dataiku DSS instance.
- Needs credentials providing the DSS server URL and a valid API key for authentication.
- Uses HTTP requests to communicate with the DSS REST API.
- For operations involving file uploads/downloads, it handles multipart form-data and binary data accordingly.
Troubleshooting
- Missing Credentials: The node will throw an error if the required API credentials are not provided.
- Required Parameters Missing: Many operations require specific parameters (e.g., project key, plugin ID). If these are missing, the node throws descriptive errors indicating which parameter is required.
- API Errors: If the DSS API returns an error, the node wraps it and provides the message and stack trace for debugging.
- Binary Data Handling: For file downloads, ensure the node's output is handled correctly downstream to avoid data corruption.
- Unsupported Operations: If an unknown resource or operation is specified, the node throws an error indicating the unknown resource.
Links and References
This summary focuses on the "Plugin" resource and specifically the "Install Plugin From Store" operation, describing its purpose, input, output, dependencies, and common troubleshooting points based on static analysis of the provided source code and properties.