System User Manual

Get started quickly

Please refer to Quick Start

Operation guide

1. Home

The home page contains task status statistics, process status statistics, and workflow definition statistics for all projects of the user.

2. Project management

2.1 Create project

Click "Project Management" to enter the project management page, click the "Create Project" button, enter the project name, project description, and click "Submit" to create a new project.

2.2 Project home

Click the project name link on the project management page to enter the project home page, as shown in the figure below, the project home page contains the task status statistics, process status statistics, and workflow definition statistics of the project.
Task status statistics: within the specified time range, count the number of task instances as successful submission, running, ready to pause, pause, ready to stop, stop, failure, success, fault tolerance, kill, and waiting threads
Process status statistics: within the specified time range, count the number of the status of the workflow instance as submission success, running, ready to pause, pause, ready to stop, stop, failure, success, fault tolerance, kill, and waiting threads
Workflow definition statistics: Count the workflow definitions created by this user and the workflow definitions granted to this user by the administrator

2.3 Workflow definition

2.3.1 Create workflow definition

Click Project Management -> Workflow -> Workflow Definition to enter the workflow definition page, and click the "Create Workflow" button to enter the workflow DAG edit page, as shown in the following figure:
Drag in the toolbar Add a Shell task to the drawing board, as shown in the figure below:
Add parameter settings for this shell task:

Fill in the "Node Name", "Description", and "Script" fields;
Check “Normal” for “Run Flag”. If “Prohibit Execution” is checked, the task will not be executed when the workflow runs;
Select "Task Priority": When the number of worker threads is insufficient, high-level tasks will be executed first in the execution queue, and tasks with the same priority will be executed in the order of first in, first out;
Timeout alarm (optional): Check the timeout alarm, timeout failure, and fill in the "timeout period". When the task execution time exceeds timeout period, an alert email will be sent and the task timeout fails;
Resources (optional). Resource files are files created or uploaded on the Resource Center -> File Management page. For example, the file name is test.sh, and the command to call the resource in the script is sh test.sh;

Customize parameters (optional), refer to Custom Parameters;
Click the "Confirm Add" button to save the task settings.

Increase the order of task execution: Click the icon in the upper right corner to connect the task; as shown in the figure below, task 2 and task 3 are executed in parallel, When task 1 finished execute, tasks 2 and 3 will be executed simultaneously.
Delete dependencies: Click the "arrow" icon in the upper right corner , select the connection line, and click the "Delete" icon in the upper right corner , delete dependencies between tasks.

Save workflow definition: Click the "Save" button, and the "Set DAG chart name" pop-up box will pop up, as shown in the figure below. Enter the workflow definition name, workflow definition description, and set global parameters (optional, refer to Custom parameters), click the "Add" button, and the workflow definition is created successfully.

For other types of tasks, please refer to Task Node Type and Parameter Settings.

2.3.2 Workflow definition operation function

Click Project Management -> Workflow -> Workflow Definition to enter the workflow definition page, as shown below:

The operation functions of the workflow definition list are as follows:

Edit: Only "offline" workflow definitions can be edited. Workflow DAG editing is the same as Create Workflow Definition.
Online: When the workflow status is "Offline", used to online workflow. Only the workflow in the "Online" state can run, but cannot be edited.
Offline: When the workflow status is "Online", used to offline workflow. Only the workflow in the "Offline" state can be edited, but not run.
Run: Only workflow in the online state can run. See 2.3.3 Run Workflow for the operation steps.
Timing: Timing can only be set in online workflows, and the system automatically schedules the workflow to run on a regular basis. The status after creating a timing is "offline", and the timing must be online on the timing management page to take effect. See 2.3.4 Workflow Timing for timing operation steps.
Timing Management: The timing management page can be edited, online/offline, and deleted.
Delete: Delete the workflow definition.
Download: Download workflow definition to local.
Tree Diagram: Display the task node type and task status in a tree structure, as shown in the figure below:

2.3.3 Run the workflow

Click Project Management -> Workflow -> Workflow Definition to enter the workflow definition page, as shown in the figure below, click the "Go Online" button ，Go online workflow.

Click the "Run" button to pop up the startup parameter setting pop-up box, as shown in the figure below, set the startup parameters, click the "Run" button in the pop-up box, the workflow starts running, and the workflow instance page generates a workflow instance.

Description of workflow operating parameters:

* Failure strategy: When a task node fails to execute, other parallel task nodes need to execute the strategy. "Continue" means: after a certain task fails, other task nodes execute normally; "End" means: terminate all tasks being executed, and terminate the entire process.
* Notification strategy: When the process is over, the process execution information notification email is sent according to the process status, including any status is not sent, successful sent, failed sent, successful or failed sent.
* Process priority: The priority of process operation, divided into five levels: highest (HIGHEST), high (HIGH), medium (MEDIUM), low (LOW), and lowest (LOWEST). When the number of master threads is insufficient, high-level processes will be executed first in the execution queue, and processes with the same priority will be executed in a first-in first-out order.
* Worker group: The process can only be executed in the specified worker machine group. The default is Default, which can be executed on any worker.
* Notification group: select notification strategy||timeout alarm||when fault tolerance occurs, process information or email will be sent to all members in the notification group.
* Recipient: Select notification policy||Timeout alarm||When fault tolerance occurs, process information or alarm email will be sent to the recipient list.
* Cc: Select the notification strategy||Timeout alarm||When fault tolerance occurs, the process information or warning email will be copied to the CC list.
* Startup parameter: Set or overwrite global parameter values when starting a new process instance.
* Complement: Two modes including serial complement and parallel complement. Serial complement: Within the specified time range, the complements are executed from the start date to the end date and N process instances are generated in turn; parallel complement: within the specified time range, multiple days are complemented at the same time to generate N process instances.

For example, you need to fill in the data from May 1 to May 10.

Serial mode: The complement is executed sequentially from May 1 to May 10, and ten process instances are generated on the process instance page;

Parallel mode: The tasks from May 1 to may 10 are executed simultaneously, and 10 process instances are generated on the process instance page.

2.3.4 Workflow timing

Create timing: Click Project Management->Workflow->Workflow Definition, enter the workflow definition page, go online the workflow, click the "timing" button ,The timing parameter setting dialog box pops up, as shown in the figure below:
Choose the start and end time. In the start and end time range, the workflow is run at regular intervals; not in the start and end time range, no more regular workflow instances are generated.
Add a timing that is executed once every day at 5 AM, as shown in the following figure:
Failure strategy, notification strategy, process priority, worker group, notification group, recipient, and CC are the same as workflow running parameters.
Click the "Create" button to create the timing successfully. At this time, the timing status is "Offline" and the timing needs to be Online to take effect.
Timing online: Click the "timing management" button , enter the timing management page, click the "online" button, the timing status will change to "online", as shown in the below figure, the workflow takes effect regularly.

2.3.5 Import workflow

Click Project Management -> Workflow -> Workflow Definition to enter the workflow definition page, click the "Import Workflow" button to import the local workflow file, the workflow definition list displays the imported workflow, and the status is offline.

2.4 Workflow instance

2.4.1 View workflow instance

Click Project Management -> Workflow -> Workflow Instance to enter the Workflow Instance page, as shown in the figure below:
Click the workflow name to enter the DAG view page to view the task execution status, as shown in the figure below.

2.4.2 View task log

Enter the workflow instance page, click the workflow name, enter the DAG view page, double-click the task node, as shown in the following figure:
Click "View Log", a log pop-up box will pop up, as shown in the figure below, the task log can also be viewed on the task instance page, refer to Task View Log。

2.4.3 View task history

Click Project Management -> Workflow -> Workflow Instance to enter the workflow instance page, and click the workflow name to enter the workflow DAG page;
Double-click the task node, as shown in the figure below, click "View History" to jump to the task instance page, and display a list of task instances running by the workflow instance

2.4.4 View operating parameters

Click Project Management -> Workflow -> Workflow Instance to enter the workflow instance page, and click the workflow name to enter the workflow DAG page;
Click the icon in the upper left corner ，View the startup parameters of the workflow instance; click the icon ，View the global and local parameters of the workflow instance, as shown in the following figure:

2.4.4 Workflow instance operation function

Click Project Management -> Workflow -> Workflow Instance to enter the Workflow Instance page, as shown in the figure below:

Edit： Only terminated processes can be edited. Click the "Edit" button or the name of the workflow instance to enter the DAG edit page. After edit, click the "Save" button to pop up the Save DAG pop-up box, as shown in the figure below. In the pop-up box, check "Whether to update to workflow definition" and save After that, the workflow definition will be updated; if it is not checked, the workflow definition will not be updated.
Rerun： Re-execute the terminated process.
Recovery failed： For failed processes, you can perform recovery operations, starting from the failed node.
Stop： To stop the running process, the background will first killworker process, and then execute kill -9 operation
Pause: Perform a pause operation on the running process, the system status will change to waiting for execution, it will wait for the end of the task being executed, and pause the next task to be executed.
Resume pause: To resume the paused process, start running directly from the paused node
Delete: Delete the workflow instance and the task instance under the workflow instance
Gantt chart: The vertical axis of the Gantt chart is the topological sorting of task instances under a certain workflow instance, and the horizontal axis is the running time of the task instances, as shown in the figure:

2.5 Task instance

Click Project Management -> Workflow -> Task Instance to enter the task instance page, as shown in the figure below, click the name of the workflow instance, you can jump to the workflow instance DAG chart to view the task status.
View log：Click the "view log" button in the operation column to view the log of task execution.

3. Resource Center

3.1 hdfs resource configuration

Upload resource files and udf functions, all uploaded files and resources will be stored on hdfs, so the following configuration items are required:


conf/common/common.properties
    # Users who have permission to create directories under the HDFS root path
    hdfs.root.user=hdfs
    # data base dir, resource file will store to this hadoop hdfs path, self configuration, please make sure the directory exists on hdfs and have read write permissions。"/escheduler" is recommended
    data.store2hdfs.basepath=/dolphinscheduler
    # resource upload startup type : HDFS,S3,NONE
    res.upload.startup.type=HDFS
    # whether kerberos starts
    hadoop.security.authentication.startup.state=false
    # java.security.krb5.conf path
    java.security.krb5.conf.path=/opt/krb5.conf
    # loginUserFromKeytab user
    login.user.keytab.username=hdfs-mycluster@ESZ.COM
    # loginUserFromKeytab path
    login.user.keytab.path=/opt/hdfs.headless.keytab

conf/common/hadoop.properties
    # ha or single namenode,If namenode ha needs to copy core-site.xml and hdfs-site.xml
    # to the conf directory，support s3，for example : s3a://dolphinscheduler
    fs.defaultFS=hdfs://mycluster:8020
    #resourcemanager ha note this need ips , this empty if single
    yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
    # If it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine
    yarn.application.status.address=http://xxxx:8088/ws/v1/cluster/apps/%s

Only one address needs to be configured for yarn.resourcemanager.ha.rm.ids and yarn.application.status.address, and the other address is empty.
You need to copy core-site.xml and hdfs-site.xml from the conf directory of the Hadoop cluster to the conf directory of the dolphinscheduler project, and restart the api-server service.

3.2 File management

It is the management of various resource files, including creating basic txt/log/sh/conf/py/java and other files, uploading jar packages and other types of files, and can do edit, rename, download, delete and other operations.

Create a file

The file format supports the following types: txt, log, sh, conf, cfg, py, java, sql, xml, hql, properties

upload files

Upload file: Click the "Upload File" button to upload, drag the file to the upload area, the file name will be automatically completed with the uploaded file name

File View

For the file types that can be viewed, click the file name to view the file details

download file

Click the "Download" button in the file list to download the file or click the "Download" button in the upper right corner of the file details to download the file

File rename

delete

File list -> Click the "Delete" button to delete the specified file

3.3 UDF management

3.3.1 Resource management

The resource management and file management functions are similar. The difference is that the resource management is the uploaded UDF function, and the file management uploads the user program, script and configuration file. Operation function: rename, download, delete.

Upload udf resources

Same as uploading files.

3.3.2 Function management

Create UDF function

Click "Create UDF Function", enter the udf function parameters, select the udf resource, and click "Submit" to create the udf function.

Currently only supports temporary UDF functions of HIVE

UDF function name: the name when the UDF function is entered
Package name Class name: Enter the full path of the UDF function
UDF resource: Set the resource file corresponding to the created UDF

4. Create data source

Data source center supports MySQL, POSTGRESQL, HIVE/IMPALA, SPARK, CLICKHOUSE, ORACLE, SQLSERVER and other data sources

4.1 Create/Edit MySQL data source

Click "Data Source Center -> Create Data Source" to create different types of data sources according to requirements.
Data source: select MYSQL
Data source name: enter the name of the data source
Description: Enter a description of the data source
IP hostname: enter the IP to connect to MySQL
Port: Enter the port to connect to MySQL
Username: Set the username for connecting to MySQL
Password: Set the password for connecting to MySQL
Database name: Enter the name of the database connected to MySQL
Jdbc connection parameters: parameter settings for MySQL connection, filled in in JSON form

Click "Test Connection" to test whether the data source can be successfully connected.

4.2 Create/Edit POSTGRESQL data source

Data source: select POSTGRESQL
Data source name: enter the name of the data source
Description: Enter a description of the data source
IP/Host Name: Enter the IP to connect to POSTGRESQL
Port: Enter the port to connect to POSTGRESQL
Username: Set the username for connecting to POSTGRESQL
Password: Set the password for connecting to POSTGRESQL
Database name: Enter the name of the database connected to POSTGRESQL
Jdbc connection parameters: parameter settings for POSTGRESQL connection, filled in in JSON form

4.3 Create/Edit HIVE data source

1.Use HiveServer2 to connect

Data source: select HIVE
Data source name: enter the name of the data source
Description: Enter a description of the data source
IP/Host Name: Enter the IP connected to HIVE
Port: Enter the port connected to HIVE
Username: Set the username for connecting to HIVE
Password: Set the password for connecting to HIVE
Database name: Enter the name of the database connected to HIVE
Jdbc connection parameters: parameter settings for HIVE connection, filled in in JSON form

2.Use HiveServer2 HA Zookeeper to connect

Note: If you enable kerberos, you need to fill in Principal

4.4 Create/Edit Spark data source

Data source: select Spark
Data source name: enter the name of the data source
Description: Enter a description of the data source
IP/Hostname: Enter the IP connected to Spark
Port: Enter the port connected to Spark
Username: Set the username for connecting to Spark
Password: Set the password for connecting to Spark
Database name: Enter the name of the database connected to Spark
Jdbc connection parameters: parameter settings for Spark connection, filled in in JSON form

5. Security Center (Permission System)

 * Only the administrator account in the security center has the authority to operate. It has functions such as queue management, tenant management, user management, alarm group management, worker group management, token management, etc. In the user management module, resources, data sources, projects, etc. Authorization
 * Administrator login, default user name and password: admin/dolphinscheduler123

5.1 Create queue

Queue is used when the "queue" parameter is needed to execute programs such as spark and mapreduce.
The administrator enters the Security Center->Queue Management page and clicks the "Create Queue" button to create a queue.

5.2 Add tenant

The tenant corresponds to the Linux user, which is used by the worker to submit the job. If Linux does not have this user, the worker will create this user when executing the script.
Tenant Code: Tenant Code is the only user on Linux and cannot be repeated
The administrator enters the Security Center->Tenant Management page and clicks the "Create Tenant" button to create a tenant.

5.3 Create normal user

Users are divided into administrator users and normal users
- The administrator has authorization and user management authority, but does not have the authority to create project and workflow definition operations.
- Ordinary users can create projects and create, edit, and execute workflow definitions.
- Note: If the user switches tenants, all resources under the tenant where the user belongs will be copied to the new tenant that is switched.
The administrator enters the Security Center -> User Management page and clicks the "Create User" button to create a user.

Edit user information

The administrator enters the Security Center->User Management page and clicks the "Edit" button to edit user information.
After an ordinary user logs in, click the user information in the user name drop-down box to enter the user information page, and click the "Edit" button to edit the user information.

Modify user password

The administrator enters the Security Center->User Management page and clicks the "Edit" button. When editing user information, enter the new password to modify the user password.
After a normal user logs in, click the user information in the user name drop-down box to enter the password modification page, enter the password and confirm the password and click the "Edit" button, then the password modification is successful.

5.4 Create alarm group

The alarm group is a parameter set at startup. After the process ends, the status of the process and other information will be sent to the alarm group in the form of email.

The administrator enters the Security Center -> Alarm Group Management page and clicks the "Create Alarm Group" button to create an alarm group.

5.5 Token management

Since the back-end interface has login check, token management provides a way to perform various operations on the system by calling the interface.

The administrator enters the Security Center -> Token Management page, clicks the "Create Token" button, selects the expiration time and user, clicks the "Generate Token" button, and clicks the "Submit" button, then the selected user's token is created successfully.
- After an ordinary user logs in, click the user information in the user name drop-down box, enter the token management page, select the expiration time, click the "generate token" button, and click the "submit" button, then the user creates a token successfully.
- Call example:

Token call example
    /**
     * test token
     */
    public  void doPOSTParam()throws Exception{
        // create HttpClient
        CloseableHttpClient httpclient = HttpClients.createDefault();

        // create http post request
        HttpPost httpPost = new HttpPost("http://127.0.0.1:12345/escheduler/projects/create");
        httpPost.setHeader("token", "123");
        // set parameters
        List<NameValuePair> parameters = new ArrayList<NameValuePair>();
        parameters.add(new BasicNameValuePair("projectName", "qzw"));
        parameters.add(new BasicNameValuePair("desc", "qzw"));
        UrlEncodedFormEntity formEntity = new UrlEncodedFormEntity(parameters);
        httpPost.setEntity(formEntity);
        CloseableHttpResponse response = null;
        try {
            // execute
            response = httpclient.execute(httpPost);
            // response status code 200
            if (response.getStatusLine().getStatusCode() == 200) {
                String content = EntityUtils.toString(response.getEntity(), "UTF-8");
                System.out.println(content);
            }
        } finally {
            if (response != null) {
                response.close();
            }
            httpclient.close();
        }
    }

5.6 Granted permission

* Granted permissions include project permissions, resource permissions, data source permissions, UDF function permissions.
* The administrator can authorize the projects, resources, data sources and UDF functions not created by ordinary users. Because the authorization methods for projects, resources, data sources and UDF functions are the same, we take project authorization as an example.
* Note: For projects created by users themselves, the user has all permissions. The project list and the selected project list will not be displayed.

The administrator enters the Security Center -> User Management page and clicks the "Authorize" button of the user who needs to be authorized, as shown in the figure below:

Select the project to authorize the project.

Resources, data sources, and UDF function authorization are the same as project authorization.

5.7 Worker grouping

Each worker node will belong to its own worker group, and the default group is "default".

When the task is executed, the task can be assigned to the specified worker group, and the task will be executed by the worker node in the group.

Add/Update worker group

Open the "conf/worker.properties" configuration file on the worker node where you want to set the groups, and modify the "worker.groups" parameter
The "worker.groups" parameter is followed by the name of the group corresponding to the worker node, which is “default”.
If the worker node corresponds to more than one group, they are separated by commas

Example: 
worker.groups=default,test

6. monitoring Center

6.1 Service management

Service management is mainly to monitor and display the health status and basic information of each service in the system

6.1.1 master monitoring

Mainly related to master information.

6.1.2 worker monitoring

Mainly related to worker information.

6.1.3 Zookeeper monitoring

Mainly related configuration information of each worker and master in zookpeeper.

6.1.4 DB monitoring

Mainly the health of the DB

6.2 Statistics management

Number of commands to be executed: statistics on the t_ds_command table
The number of failed commands: statistics on the t_ds_error_command table
Number of tasks to run: Count the data of task_queue in Zookeeper
Number of tasks to be killed: Count the data of task_kill in Zookeeper

7. Task node type and parameter settings

7.1 Shell node

Shell node, when the worker is executed, a temporary shell script is generated, and the linux user with the same name as the tenant executes the script.

Click Project Management-Project Name-Workflow Definition, and click the "Create Workflow" button to enter the DAG editing page.
Drag from the toolbar to the drawing board, as shown in the figure below:
Node name: The node name in a workflow definition is unique.
Run flag: Identifies whether this node can be scheduled normally, if it does not need to be executed, you can turn on the prohibition switch.
Descriptive information: describe the function of the node.
Task priority: When the number of worker threads is insufficient, they are executed in order from high to low, and when the priority is the same, they are executed according to the first-in first-out principle.
Worker grouping: Tasks are assigned to the machines of the worker group to execute. If Default is selected, a worker machine will be randomly selected for execution.
Number of failed retry attempts: The number of times the task failed to be resubmitted. It supports drop-down and hand-filling.
Failed retry interval: The time interval for resubmitting the task after a failed task. It supports drop-down and hand-filling.
Timeout alarm: Check the timeout alarm and timeout failure. When the task exceeds the "timeout period", an alarm email will be sent and the task execution will fail.
Script: SHELL program developed by users.
Resource: Refers to the list of resource files that need to be called in the script, and the files uploaded or created by the resource center-file management.
User-defined parameters: It is a user-defined parameter that is part of SHELL, which will replace the content with ${variable} in the script.

7.2 Sub-process node

The sub-process node is to execute a certain external workflow definition as a task node.

Drag the task node in the toolbar to the drawing board, as shown in the following figure:

Node name: The node name in a workflow definition is unique
Run flag: identify whether this node can be scheduled normally
Descriptive information: describe the function of the node
Timeout alarm: Check the timeout alarm and timeout failure. When the task exceeds the "timeout period", an alarm email will be sent and the task execution will fail.
Sub-node: It is the workflow definition of the selected sub-process. Enter the sub-node in the upper right corner to jump to the workflow definition of the selected sub-process

7.3 DEPENDENT node

Dependent nodes are dependency check nodes. For example, process A depends on the successful execution of process B yesterday, and the dependent node will check whether process B has a successful execution yesterday.

Drag the task node in the toolbar to the drawing board, as shown in the following figure:

The dependent node provides a logical judgment function, such as checking whether the B process was successful yesterday, or whether the C process was executed successfully.

For example, process A is a weekly report task, processes B and C are daily tasks, and task A requires tasks B and C to be successfully executed every day of the last week, as shown in the figure:

If the weekly report A also needs to be executed successfully last Tuesday:

7.4 Stored procedure node

According to the selected data source, execute the stored procedure.

Drag in the toolbarThe task node to the drawing board, as shown in the following figure:

Data source: The data source type of the stored procedure supports MySQL and POSTGRESQL, select the corresponding data source
Method: is the method name of the stored procedure
Custom parameters: The custom parameter types of the stored procedure support IN and OUT, and the data types support nine data types: VARCHAR, INTEGER, LONG, FLOAT, DOUBLE, DATE, TIME, TIMESTAMP, and BOOLEAN

7.5 SQL node

Drag in the toolbarTask node into the drawing board
Non-query SQL function: edit non-query SQL task information, select non-query for sql type, as shown in the figure below:

Query SQL function: Edit and query SQL task information, sql type selection query, select form or attachment to send mail to the specified recipient, as shown in the figure below.

Data source: select the corresponding data source
sql type: supports query and non-query. The query is a select type query, which is returned with a result set. You can specify three templates for email notification as form, attachment or form attachment. Non-queries are returned without a result set, and are for three types of operations: update, delete, and insert.
sql parameter: the input parameter format is key1=value1;key2=value2...
sql statement: SQL statement
UDF function: For data sources of type HIVE, you can refer to UDF functions created in the resource center. UDF functions are not supported for other types of data sources.
Custom parameters: SQL task type, and stored procedure is a custom parameter order to set values for the method. The custom parameter type and data type are the same as the stored procedure task type. The difference is that the SQL task type custom parameter will replace the ${variable} in the SQL statement.
Pre-sql: Pre-sql is executed before the sql statement.
Post-sql: Post-sql is executed after the sql statement.

7.6 SPARK node

Through the SPARK node, you can directly execute the SPARK program. For the spark node, the worker will use the spark-submit method to submit tasks

Drag in the toolbarThe task node to the drawing board, as shown in the following figure:

Program type: supports JAVA, Scala and Python three languages
The class of the main function: is the full path of the Spark program’s entry Main Class
Main jar package: Spark jar package
Deployment mode: support three modes of yarn-cluster, yarn-client and local
Driver core number: You can set the number of Driver cores and the number of memory
Number of Executors: You can set the number of Executors, the number of Executor memory, and the number of Executor cores
Command line parameters: Set the input parameters of the Spark program and support the substitution of custom parameter variables.
Other parameters: support --jars, --files, --archives, --conf format
Resource: If the resource file is referenced in other parameters, you need to select and specify in the resource
User-defined parameter: It is a user-defined parameter of the MR part, which will replace the content with ${variable} in the script

Note: JAVA and Scala are only used for identification, there is no difference, if it is Spark developed by Python, there is no main function class, and the others are the same

7.7 MapReduce(MR) node

Using the MR node, you can directly execute the MR program. For the mr node, the worker will use the hadoop jar method to submit tasks

Drag the task node in the toolbar to the drawing board, as shown in the following figure:

JAVA program

The class of the main function: is the full path of the Main Class, the entry point of the MR program
Program type: select JAVA language
Main jar package: is the MR jar package
Command line parameters: set the input parameters of the MR program and support the substitution of custom parameter variables
Other parameters: support -D, -files, -libjars, -archives format
Resource: If the resource file is referenced in other parameters, you need to select and specify in the resource
User-defined parameter: It is a user-defined parameter of the MR part, which will replace the content with ${variable} in the script

Python program

Program type: select Python language
Main jar package: is the Python jar package for running MR
Other parameters: support -D, -mapper, -reducer, -input -output format, here you can set the input of user-defined parameters, such as:
-mapper "mapper.py 1" -file mapper.py -reducer reducer.py -file reducer.py –input /journey/words.txt -output /journey/out/mr/${currentTimeMillis}
The mapper.py 1 after -mapper is two parameters, the first parameter is mapper.py, and the second parameter is 1
Resource: If the resource file is referenced in other parameters, you need to select and specify in the resource
User-defined parameter: It is a user-defined parameter of the MR part, which will replace the content with ${variable} in the script

7.8 Python Node

Using python nodes, you can directly execute python scripts. For python nodes, workers will use python ** to submit tasks.

Drag in the toolbarThe task node to the drawing board, as shown in the following figure:

Script: Python program developed by the user
Resources: refers to the list of resource files that need to be called in the script
User-defined parameter: It is a local user-defined parameter of Python, which will replace the content with ${variable} in the script
Note: If you import the python file under the resource directory tree, you need to add the init.py file

7.9 Flink Node

Drag in the toolbarThe task node to the drawing board, as shown in the following figure:

Program type: supports JAVA, Scala and Python three languages
The class of the main function: is the full path of the Main Class, the entry point of the Flink program
Main jar package: is the Flink jar package
Deployment mode: support three modes of cluster and local
Number of slots: You can set the number of slots
Number of taskManage: You can set the number of taskManage
JobManager memory number: You can set the jobManager memory number
TaskManager memory number: You can set the taskManager memory number
Command line parameters: Set the input parameters of the Spark program and support the substitution of custom parameter variables.
Other parameters: support --jars, --files, --archives, --conf format
Resource: If the resource file is referenced in other parameters, you need to select and specify in the resource
Custom parameter: It is a local user-defined parameter of Flink, which will replace the content with ${variable} in the script

Note: JAVA and Scala are only used for identification, there is no difference, if it is Flink developed by Python, there is no class of the main function, the others are the same

7.10 http Node

Drag in the toolbarThe task node to the drawing board, as shown in the following figure:

Node name: The node name in a workflow definition is unique.
Run flag: Identifies whether this node can be scheduled normally, if it does not need to be executed, you can turn on the prohibition switch.
Descriptive information: describe the function of the node.
Task priority: When the number of worker threads is insufficient, they are executed in order from high to low, and when the priority is the same, they are executed according to the first-in first-out principle.
Worker grouping: Tasks are assigned to the machines of the worker group to execute. If Default is selected, a worker machine will be randomly selected for execution.
Number of failed retry attempts: The number of times the task failed to be resubmitted. It supports drop-down and hand-filling.
Failed retry interval: The time interval for resubmitting the task after a failed task. It supports drop-down and hand-filling.
Timeout alarm: Check the timeout alarm and timeout failure. When the task exceeds the "timeout period", an alarm email will be sent and the task execution will fail.
Request address: http request URL.
Request type: support GET, POSt, HEAD, PUT, DELETE.
Request parameters: Support Parameter, Body, Headers.
Verification conditions: support default response code, custom response code, content included, content not included.
Verification content: When the verification condition selects a custom response code, the content contains, and the content does not contain, the verification content is required.
Custom parameter: It is a user-defined parameter of http part, which will replace the content with ${variable} in the script.

7.11 DATAX Node

Drag in the toolbarTask node into the drawing board
Custom template: When you turn on the custom template switch, you can customize the content of the json configuration file of the datax node (applicable when the control configuration does not meet the requirements)
Data source: select the data source to extract the data
sql statement: the sql statement used to extract data from the target database, the sql query column name is automatically parsed when the node is executed, and mapped to the target table synchronization column name. When the source table and target table column names are inconsistent, they can be converted by column alias (as)
Target library: select the target library for data synchronization
Target table: the name of the target table for data synchronization
Pre-sql: Pre-sql is executed before the sql statement (executed by the target library).
Post-sql: Post-sql is executed after the sql statement (executed by the target library).
json: json configuration file for datax synchronization
Custom parameters: SQL task type, and stored procedure is a custom parameter order to set values for the method. The custom parameter type and data type are the same as the stored procedure task type. The difference is that the SQL task type custom parameter will replace the ${variable} in the SQL statement.

8. parameter

8.1 System parameters

variable	meaning
${system.biz.date}	The day before the scheduled time of the daily scheduling instance, the format is yyyyMMdd, when the data is supplemented, the date is +1
${system.biz.curdate}	The timing time of the daily scheduling instance, the format is yyyyMMdd, when the data is supplemented, the date is +1
${system.datetime}	The timing time of the daily scheduling instance, the format is yyyyMMddHHmmss, when the data is supplemented, the date is +1

8.2 Time custom parameters

Support custom variable names in the code, declaration method: ${variable name}. It can refer to "system parameters" or specify "constants".
We define this benchmark variable as $[...] format, $[yyyyMMddHHmmss] can be decomposed and combined arbitrarily, such as: $[yyyyMMdd], $[HHmmss], $[yyyy-MM-dd], etc.

The following format can also be used:

* Next N years：$[add_months(yyyyMMdd,12*N)]
* N years before：$[add_months(yyyyMMdd,-12*N)]
* Next N months：$[add_months(yyyyMMdd,N)]
* N months before：$[add_months(yyyyMMdd,-N)]
* Next N weeks：$[yyyyMMdd+7*N]
* First N weeks：$[yyyyMMdd-7*N]
* Next N days：$[yyyyMMdd+N]
* N days before：$[yyyyMMdd-N]
* Next N hours：$[HHmmss+N/24]
* First N hours：$[HHmmss-N/24]
* Next N minutes：$[HHmmss+N/24/60]
* First N minutes：$[HHmmss-N/24/60]

8.3 User-defined parameters

User-defined parameters are divided into global parameters and local parameters. Global parameters are global parameters passed when saving workflow definitions and workflow instances. Global parameters can be referenced in the local parameters of any task node in the entire process. example：

global_bizdate is a global parameter, which refers to a system parameter.

In the task, local_param_bizdate uses ${global_bizdate} to refer to global parameters. For scripts, you can use ${local_param_bizdate} to refer to the value of global variable global_bizdate, or directly set the value of local_param_bizdate through JDBC.