| Node Name | The name of the set task. The node name in a workflow definition is unique. |
| Run Flag | Indicates whether the node is scheduled properly and turns on the kill switch, if not needed. |
| Description | Describes the functionality of the node. |
| Task Priority | When the number of worker threads is insufficient, the worker executes tasks according to the priority. When the priority is the same, the worker executes tasks by order. |
| Worker Group | The group of machines who execute the tasks. If selecting `Default`, DolphinScheduler will randomly choose a worker machine to execute the task. |
| Environment Name | Configure the environment in which the task runs. |
| Number Of Failed Retries | Number of resubmitted tasks that failed. You can choose the number in the drop-down menu or fill it manually. |
| Failed Retry Interval | the interval between the failure and resubmission of a task. You can choose the number in the drop-down menu or fill it manually. |
| Delayed Execution Time | the amount of time a task is delayed, in units. |
| Timeout Alarm | Check timeout warning, timeout failure, when the task exceeds the“Timeout length”, send a warning message and the task execution fails. |
| Module Path | pick Java 9 + 's modularity feature, put all resources into-module-path, and require that the JDK version in your worker supports modularity. |
| Main Parameter | Java program main method entry parameter. |
| Java VM Parameters | JVM startup parameters. |
| Script | You need to write Java code if you use the Java run type. The public class must exist in the code without writing a package statement. |
| Resources | External JAR packages or other resource files that are added to the classpath or module path and can be easily retrieved in your JAVA script. |
| Custom parameter | A user-defined parameter that is part of HTTP and replaces `${ variable }` in the script . |
| Pre Tasks | Selects a pre-task for the current task and sets the pre-task as the upstream of the current task. |
@ -100,6 +103,7 @@ You can now use this feature to run all MLFlow projects on Github (For example [
## Environment to Prepare
### Conda Environment
Please install [anaconda](https://docs.continuum.io/anaconda/install/) or [miniconda](https://docs.conda.io/en/latest/miniconda.html#installing) in advance.
**Method A:**
@ -113,7 +117,6 @@ Add the following content to the file:
export PATH=/opt/anaconda3/bin:$PATH
```
**Method B:**
You need to enter the admin account to configure a conda environment variable.