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Modeling Guide for SAP Data Hub
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Modeling Guide for SAP Data Hub
Content
Modeling Guide for SAP Data Hub
Introduction to the SAP Data Hub Modeler
Log in to SAP Data Hub Modeler
Navigating the SAP Data Hub Modeler
Creating Graphs
Execute Graphs
Parameterize the Process Execution
Schedule Graph Executions
Cron Expression Format
Maintain Resource Requirements for Graphs
Groups, Tags, and Dockerfiles
Execution Model
Monitoring the SAP Data Hub Modeler
Monitor the Graph Execution Status
Graph Execution
Graph States
Process States
Trace Messages
Trace Severity Levels
Using SAP Data Hub Monitoring
Log in to SAP Data Hub Monitoring
Monitoring with the SAP Data Hub Monitoring Application
Schedule Graph Executions with SAP Data Hub Monitoring
Cron Expression Format
Downloading Diagnostic Information for Graphs
Diagnostic Information Archive Structure and Contents
version.json File
graphs.json File
graph-source-handle Folders
graph.json File
execution.json File
events.json File
group-instance-id Folders
logs-pod-name.txt File
pod-pod-name.json File
goroutine.txt File
heap.txt File
api-pod Folder
Tutorials
Create a Graph to Execute a TensorFlow Application
Example Graphs for TensorFlow
Creating a Graph to Perform Text Analysis
Example Graph for Simple Text Analysis
Example Graph for Text Analysis of Files
Create Operators
Operators
Operator Details
Port Types
Compatible Port Types
Working with the Data Workflow Operators
Execute an SAP BW Process Chain
Execute an SAP HANA Flowgraph Operator
Transform Data
Configure the Data Source Node
Configure the Data Target Node
Configure the Projection Node
Configure the Aggregation Node
Configure the Join Node
Configure the Union Node
Configure the Case Node
Execute an SAP Data Hub Pipeline
Execute an SAP Data Services Job
Transfer Data
Transfer Data from SAP BW to SAP Vora or Cloud Storage
Transfer Modes
Data Type Mapping and Miscellaneous
Transfer Data from SAP HANA to SAP Vora or Cloud Storage
Control Flow of Execution
Control Start and Shut Down of Data Workflows
Send E-mail Notifications
Integrating SAP Cloud Applications with SAP Data Hub
Service Specific Information
Azure Data Lake (ADL)
Local File System (File)
Google Cloud Storage (GCS)
Hadoop File System (HDFS)
Amazon S3
Microsoft Azure Blob Storage (WASB)
WebHDFS
Subengines
Working with the C++ Subengine to Create Operators
Getting Started
Creating an Operator
Logging and Error Handling
Port Data
Setting Values for Configuration Properties
Process Handlers
API Reference
log.h
subengine.h
Working with Python2.7 and Python3.6 Subengines to Create Operators
Normal Usage
Using Python Libraries
Advanced Usage
Using Python Library
Adding Documentation
Creating Tests
List of BaseOperator Methods
List of BaseOperator Attributes
List of Metric Methods
Logging
Uploading to SAP Data Hub System Management
Uploading Solution as a Layer in System Management
Uploading Solution in System Management to Tenant or User Workspace
Working with the Node.js Subengine to Create Operators
Node.js Operators and OS Processes
Use Cases for the Node.js Subengine
The Node.js Subengine SDK
Availability of the Node.js Subengine SDK
SDK API Reference
Data Types
Additional Type Specific Constraints
Develop a Node.js Operator
Requiring Node Modules
Using the SAP Data Hub Modeler UI
Project Structure
Project Files and Resources
Logging
Working with Flowagent Subengine to Connect to Databases
Create Dockerfiles
Docker Inheritance
Create Types
Creating Scenes for Graphs (Beta)
Using the Scene Editor (Beta)
Developing Controls
Understanding Scripts
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