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 automation and management of various Dataiku DSS resources directly from n8n workflows. Specifically, for the "Bundles Automation-Side" resource with the "Create Project From Bundle" operation, it allows users to create a new project in Dataiku DSS based on an existing bundle. This is useful for automating project setup or deployment processes where projects are defined as bundles.
Common scenarios include:
- Automating the creation of Dataiku projects from predefined bundles as part of CI/CD pipelines.
- Migrating or replicating projects across different Dataiku DSS instances.
- Integrating Dataiku project creation into broader data workflows managed by n8n.
Example: Automatically create a new Dataiku project from a bundle after uploading or receiving a bundle file, streamlining project deployment without manual intervention.
Properties
| Name | Meaning |
|---|---|
| Query Parameters | A collection of optional key-value parameters that can be added to the API request URL query string. The available options include many flags and identifiers such as active, archivePath, deletionMode, name, etc. For this operation, relevant parameters may include those related to project creation from bundles. |
| data | (string) Input data, typically used for file content or JSON payloads when required by the operation. |
| projectKey | (string) The key of the project in which the bundle-related operation will be performed. Required for most operations involving projects. |
The "Query Parameters" collection includes many possible options; for the "Create Project From Bundle" operation, typical parameters might include:
name: Name of the new project to create.wait: Boolean flag indicating whether to wait for the operation to complete.- Other flags controlling import behavior, environment rebuild, scenario inclusion, etc.
Because the property list is extensive and shared across many operations, users should refer to the Dataiku DSS API documentation for exact parameter usage in this context.
Output
The node outputs the response from the Dataiku DSS API call:
- If the response is JSON, it returns it as a JSON object in the
jsonoutput field. - If the response is binary (e.g., downloading archives or files), it returns the binary data prepared for further use in n8n workflows.
- For this specific operation ("Create Project From Bundle"), the output is expected to be JSON containing details about the created project or the status of the creation request.
Dependencies
- Requires a valid connection to a Dataiku DSS instance.
- Requires an API authentication token credential for Dataiku DSS (referred generically as "an API key credential").
- The node uses HTTP requests to communicate with the Dataiku DSS REST API endpoints.
- No additional external dependencies beyond the standard n8n environment and the provided credentials.
Troubleshooting
- Missing Credentials Error: If the node throws an error about missing credentials, ensure that the Dataiku DSS API credentials (API key and server URL) are properly configured in n8n.
- Required Parameter Errors: The node validates required parameters per operation. For example, "Project Key" and "Bundle ID" are mandatory for this operation. Missing these will cause errors.
- HTTP Errors: Errors returned from the Dataiku DSS API (e.g., 4xx or 5xx responses) will be surfaced as node errors with messages including the API error details.
- Binary Data Handling: When downloading files or archives, ensure subsequent nodes handle binary data correctly.
- Timeouts or Long Operations: Some operations may take time; using the
waitparameter controls synchronous vs asynchronous behavior.
Links and References
- Dataiku DSS API Documentation
- Dataiku DSS Bundles API Reference
- n8n Documentation - Creating Custom Nodes
This summary focuses on the "Bundles Automation-Side" resource and the "Create Project From Bundle" operation, describing its purpose, input properties, output structure, dependencies, and common troubleshooting tips based on static analysis of the node's source code and provided property definitions.