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, allowing users to perform a wide range of operations on Dataiku DSS resources. Specifically for the Project resource and the List Projects operation, it retrieves a list of projects from a Dataiku DSS instance.
Common scenarios where this node is beneficial include:
- Automating project management workflows by listing all projects available in a Dataiku DSS instance.
- Integrating project metadata retrieval into larger automation pipelines.
- Filtering or processing projects programmatically based on criteria provided via query parameters.
For example, a user might use this node to fetch all projects and then trigger further actions such as exporting project data, updating permissions, or running analyses on selected projects.
Properties
| Name | Meaning |
|---|---|
| Query Parameters | A collection of optional parameters to filter or modify the list request. Options include: Active (boolean), Activity (string), All Users (boolean), Archive Path (string), Catalog Name (string), Code Env Name (string), Column Name (string), Columns (string), Connected (boolean), Connection Name (string), Container Execution Configuration Name (string), Deletion Mode (string), Destination ID (string), Drop Data (boolean), Export Analysis Models (boolean), Export Managed (boolean), Export Saved Models (boolean), Export Uploads (boolean), File Part (string), Filter (string), Folder ID (string), Folder Reference (string), Force Rebuild Env (boolean), Foreign (boolean), Format (string), Format Params (string), Full Class Name (string), Full Reguess (boolean), Include All Partitions (boolean), Include Libs (boolean), Limit (number, min 1, default 50), Max Dataset Count (number), Metric Lookup (string), Min Timestamp (number), Name (string), Only Monitored (boolean), Page (number, default 1), Partition (string), Partitions (string), Path (string), Peek (boolean), Prediction Type (string), Project Folder ID (string), Project Key (string), Published Project Key (string), Published Service ID (string), Purpose (string), Remote (string), Remove Intermediate (boolean), Reassign To (string), Results per Page (number), Rule ID (string), Schema Name (string), Step ID (string), Sub-Folder Name (string), Tags (string), Target Variable (string), Time Series Identifiers (string), Time Variable (string), Trigger ID (string), Trigger Run ID (string), Trust For Everybody (boolean), Type (string), Versions (string), Wait (boolean), With Scenarios (boolean). These parameters allow fine control over the query to list projects. |
| Project Key | The key of the project to scope the operation. Required for many project-related API calls including listing projects within a specific context.|
Output
The output is an array of JSON objects representing the response from the Dataiku DSS API for the list projects request. Each item corresponds to a project object returned by the API, containing project details such as project key, name, description, and other metadata as provided by the Dataiku DSS API.
If the operation involves downloading files or binary content (not applicable for List Projects but relevant for other operations), the node outputs binary data under the binary property with the file content.
Dependencies
- Requires an active connection to a Dataiku DSS instance.
- Requires an API key credential for authentication with the Dataiku DSS API.
- The node uses HTTP requests to communicate with the Dataiku DSS REST API endpoints.
- No additional external libraries beyond those bundled with n8n are required.
Troubleshooting
- Missing Credentials Error: If the node throws "Missing Dataiku DSS API Credentials", ensure that you have configured the API key credential correctly in n8n.
- Required Parameter Missing: Many operations require mandatory parameters like Project Key. The node will throw errors if these are missing. Verify that all required fields are filled.
- API Endpoint Errors: If the API returns errors, check the URL constructed by the node (logged in console) and verify the parameters and endpoint correctness.
- Parsing Errors: If the response cannot be parsed as JSON, the node attempts to return raw text or binary data. Ensure the API response matches expected formats.
- Network Issues: Connectivity problems to the Dataiku DSS server will cause request failures. Check network access and server availability.
Links and References
- Dataiku DSS API Documentation
- n8n Documentation - Creating Custom Nodes
- Dataiku DSS Official Website
This summary focuses on the Project resource and the List Projects operation, describing how the node constructs the API request, handles authentication, and processes the response accordingly.