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 to perform various operations related to bundles automation-side, specifically including the "Import Bundle From Archive File" operation. It allows users to import a bundle into a specified project from an archive file, facilitating automated deployment or update of project components packaged as bundles.
Common scenarios where this node is beneficial include:
- Automating the deployment of Dataiku DSS project bundles in CI/CD pipelines.
- Importing pre-built bundles into projects for testing or production use.
- Managing project lifecycle by programmatically importing and activating bundles.
For example, a user can automate the import of a new version of a project bundle stored as an archive file into a target project, enabling seamless updates without manual intervention.
Properties
| Name | Meaning |
|---|---|
| Project Key | The unique identifier of the Dataiku DSS project where the bundle will be imported. |
| Query Parameters | Optional additional parameters to customize the import request. Includes options such as: |
| - active (boolean) | |
| - activity (string) | |
| - allUsers (boolean) | |
| - archivePath (string) | |
| - catalogName (string) | |
| - codeEnvName (string) | |
| - columnName (string) | |
| - columns (string) | |
| - connected (boolean) | |
| - connectionName (string) | |
| - containerExecConfigName (string) | |
| - deletionMode (string) (default: KEEP) | |
| - destination (string) | |
| - dropData (boolean) | |
| - exportAnalysisModels (boolean) | |
| - exportManaged (boolean) | |
| - exportSavedModels (boolean) | |
| - exportUploads (boolean) | |
| - filePart (string) | |
| - filter (string) | |
| - folderId (string) | |
| - folderRef (string) | |
| - forceRebuildEnv (boolean) | |
| - foreign (boolean) | |
| - format (string) | |
| - formatParams (string) | |
| - fullClassName (string) | |
| - fullReguess (boolean) | |
| - includeAllPartitions (boolean) | |
| - includeLibs (boolean) | |
| - limit (number) | |
| - maxDatasetCount (number) | |
| - metricLookup (string) | |
| - minTimestamp (number) | |
| - name (string) | |
| - onlyMonitored (boolean) | |
| - page (number) | |
| - partition (string) | |
| - partitions (string) | |
| - path (string) | |
| - peek (boolean) | |
| - predictionType (string) | |
| - projectFolderId (string) | |
| - publishedProjectKey (string) | |
| - publishedServiceId (string) | |
| - purpose (string) (default: GENERIC_COMPLETION) | |
| - remote (string) | |
| - removeIntermediate (boolean) | |
| - reassignTo (string) | |
| - resultsPerPage (number) | |
| - ruleId (string) | |
| - schemaName (string) | |
| - stepId (string) | |
| - sub-Folder Name (string) | |
| - tags (string) | |
| - targetVariable (string) | |
| - timeseriesIdentifiers (string) | |
| - timeVariable (string) | |
| - triggerId (string) | |
| - triggerRunId (string) | |
| - trustForEverybody (boolean) | |
| - type (string) | |
| - versions (string) | |
| - wait (boolean) (default: true) | |
| - withScenarios (boolean) |
Note: The above query parameters are generic and may be used to customize the import behavior depending on the API's capabilities.
Output
The node outputs the response from the Dataiku DSS API call in JSON format under the json field. This typically includes details about the imported bundle or the result of the import operation.
If the operation involves downloading files or archives (not applicable here), the node would output binary data representing the downloaded content.
Dependencies
- Requires an API key credential for authenticating with the Dataiku DSS API.
- The node expects the Dataiku DSS server URL and user API key to be configured in the credentials.
- No other external dependencies are required.
Troubleshooting
- Missing Credentials Error: If the API key credential is not provided or invalid, the node throws an error indicating missing credentials. Ensure that valid API credentials are configured.
- Required Parameter Missing: The node validates required parameters like Project Key before making the API call. If missing, it throws descriptive errors. Provide all mandatory parameters.
- API Request Failures: Network issues, incorrect server URL, or insufficient permissions can cause API call failures. Check connectivity, server address, and user permissions.
- Invalid Query Parameters: Passing unsupported or malformed query parameters may cause API errors. Verify parameter names and values against the Dataiku DSS API documentation.
- Unexpected Response Format: If the API returns non-JSON or unexpected responses, the node attempts to handle them gracefully but may fail. Check API server logs for issues.
Links and References
- Dataiku DSS API Documentation
- Dataiku DSS Bundles Automation API
- n8n Documentation on Creating Nodes
This summary focuses on the "Import Bundle From Archive File" operation within the "Bundles Automation-Side" resource, describing its usage, input properties, output, dependencies, and common troubleshooting tips based on static analysis of the node's source code and provided property definitions.