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DataWorks:DataWorks nodes

最終更新日:Oct 08, 2024

The DataStudio service of DataWorks allows you to create various types of nodes, such as Data Integration nodes used for data synchronization, compute engine nodes used for data cleansing, and general nodes used together with compute engine nodes to process complex logic. Compute engine nodes include ODPS SQL nodes, Hologres SQL nodes, and E-MapReduce (EMR) Hive nodes. General nodes include zero load nodes that can be used to manage multiple other nodes and do-while nodes that can run node code in loops. You can combine these types of nodes in your business to meet your different data processing requirements.

Node types supported by DataStudio

The following table describes the node types that are supported by DataStudio.

Node type

Description

Data synchronization nodes

DataWorks Data Integration supports data synchronization in complex network environments. You can create a batch synchronization node to periodically synchronize offline data or create a real-time synchronization node to synchronize incremental data from a single table or database in real time. You can create this type of node on the DataStudio page.

Compute engine nodes

DataWorks encapsulates the capabilities of compute engines. You can create and configure nodes of a compute engine type to develop data. You can enable the system to periodically schedule different types of nodes in DataWorks without the need to use complex command lines.

You can create nodes of the following compute engine types: MaxCompute, Hologres, EMR, AnalyticDB for PostgreSQL, AnalyticDB for MySQL, MySQL, ClickHouse, Cloudera's Distribution including Apache Hadoop (CDH), and Platform for AI (PAI).

General nodes

You can use general nodes and nodes of a specific compute engine type in DataWorks to process complex logic. General nodes include do-while nodes that are used to run node code in loops, for-each nodes that are used to traverse the outputs of assignment nodes in loops and judge the outputs, and branch nodes.

Note

This topic describes the node code that corresponds to a node type. This code is used when you call an API operation to perform node-related operations, such as obtaining node information. You can also call the ListFileType operation to query the node code.

Data synchronization nodes

Data synchronization nodes are used to synchronize data. The following table describes different types of data synchronization nodes.

Type

Description

Node code

Batch synchronization node

This type of node is used to periodically synchronize offline data and to synchronize data between heterogeneous data sources in complex scenarios.

For information about the data source types that support batch synchronization, see Supported data source types and read and write operations.

23

Real-time synchronization node

This type of node is used to synchronize incremental data in real time. A real-time synchronization node uses three basic plug-ins to read, convert, and write data. These plug-ins interact with each other based on an intermediate data format that is defined by the plug-ins.

For information about the data source types that support real-time synchronization, see Supported data source types and read and write operations.

900

Note

In addition to the nodes that can be created on the DataStudio page, DataWorks also allows you to create different types of synchronization tasks in Data Integration. For example, you can create a synchronization task in Data Integration that synchronizes full data at a time and then incremental data in real time or a synchronization task that synchronizes all data in a database in offline mode. For more information, see Overview of the full and incremental synchronization feature. In most cases, the node code of a task that is created in Data Integration is 24.

Compute engine nodes

In a specific workflow, you can create nodes of a specific compute engine type, use the nodes to develop data, issue the engine code to a corresponding data cleansing engine, and then run the code. The following table describes different types of compute engine nodes.

Note

You must first activate corresponding services for your DataWorks workspace and add data sources of required compute engine types to your DataWorks workspace. DataWorks can access data of required compute engine types and perform relevant development operations based on the added data sources. For information about how to add a data source, see Add and manage data sources.

Compute engine integrated with DataWorks

Encapsulated engine capability

Node code

MaxCompute

Develop a MaxCompute SQL task

10

Develop a MaxCompute Spark task

225

Develop a PyODPS 2 task

221

Develop a PyODPS 3 task

1221

Develop a MaxCompute script task

24

Develop a MaxCompute MR task

11

Reference a script template

1010

EMR

Create an EMR Hive node

227

Create an EMR MR node

230

Create an EMR Spark SQL node

229

Create an EMR Spark node

228

Create an EMR Shell node

257

Create an EMR Presto node

259

Create an EMR Spark Streaming node

264

Create an EMR Kyuubi node

268

Create an EMR Trino node

267

CDH

Create a CDH Hive node

270

Create a CDH Spark node

271

Create a CDH MR node

273

Create a CDH Presto node

278

Create a CDH Impala node

279

Create a CDH Spark SQL node

-

AnalyticDB for PostgreSQL

Create and use AnalyticDB for PostgreSQL nodes

-

AnalyticDB for MySQL

Create an AnalyticDB for MySQL node

-

Hologres

Create a Hologres SQL node

1093

Create a node to synchronize schemas of MaxCompute tables with a few clicks

1094

Create a node to synchronize MaxCompute data with a few clicks

-

ClickHouse

Configure a ClickHouse SQL node

-

StarRocks

Configure a StarRocks node

10004

PAI

Create and use a PAI Studio node

-

Use DataWorks tasks to schedule pipelines in Machine Learning Designer

-

Create and use a PAI DLC node

-

Database

Configure a MySQL node

1000039

Configure an SQL Server node

10001

Configure an Oracle node

10002

Configure a PostgreSQL node

10003

Configure a DRDS node

10005

Configure a PolarDB for MySQL node

10006

Configure a PolarDB for PostgreSQL node

10007

Configure a Doris node

10008

Configure a MariaDB node

10009

Configure a Redshift node

10011

Configure a SAP HANA node

-

Configure a Vertica node

10013

Configure a DM node

10014

Configure a KingbaseES node

10015

Configure an OceanBase node

10016

Configure a Db2 node

10017

Configure a GBase 8a node

-

Others

Data Lake Analytics node

1000023

General nodes

In a specific workflow, you can create a general node and use the node together with compute engine nodes to process complex logic. In a specific workflow, you can create a general node and use the node together with compute engine nodes to process complex logic. The following table describes different types of general nodes.

Scenario

Node type

Node code

Description

Business management

Zero load node

99

A zero load node is a control node that supports dry-run scheduling and does not generate data. In most cases, a zero load node serves as the root node of a workflow and allows you to easily manage nodes and workflows.

Event-based trigger

HTTP Trigger node

1114

You can use this type of node if you want to trigger nodes in DataWorks to run after nodes in other scheduling systems finish running.

Note

DataWorks no longer allows you to create cross-tenant collaboration nodes. If you have used a cross-tenant collaboration node in your business, we recommend that you replace the cross-tenant collaboration node with an HTTP Trigger node. An HTTP Trigger node provides the same capabilities as a cross-tenant collaboration node.

OSS object inspection node

239

You can use this type of node if you want to trigger a descendant node to run after Object Storage Service (OSS) objects are generated.

FTP Check node

1320

You can use this type of node if you want to trigger a descendant node to run after File Transfer Protocol (FTP) files are generated.

Check node

241

You can use this type of node to check the availability of MaxCompute partitioned tables, FTP files, and OSS objects based on check policies. If the condition that is specified in the check policy for a Check node is met, the task on the Check node is successfully run. If the running of a task depends on an object, you can use a Check node to check the availability of the object and configure the task as the descendant task of the Check node. If the condition that is specified in the check policy for the Check node is met, the task on the Check node is successfully run and then its descendant task is triggered to run.

Parameter value assignment and parameter passing

Assignment node

1100

You can use this type of node if you want to use the outputs parameter of an assignment node to pass the data from the output of the last row of the code for the assignment node to its descendant nodes.

Parameter node

1115

You can use this type of node to aggregate parameters of its ancestor nodes and distribute parameters to its descendant nodes.

Control

For-each node

1106

You can use this type of node to traverse the result set of an assignment node.

Do-while node

1103

You can use this type of node to execute the logic of specific nodes in loops. You can also use this type of node together with an assignment node to generate the data that is passed to a descendant node of the assignment node in loops.

Branch node

1101

You can use this type of node to route results based on logical conditions. You can also use this type of node together with an assignment node.

Merge node

1102

You can use this type of node to merge the status of its ancestor nodes and prevent dry run of its descendant nodes.

Others

Shell node

6

Shell nodes support the standard Shell syntax. The interactive syntax is not supported.

Function Compute node

1330

You can use this type of node to periodically schedule and process event functions and complete integration and joint scheduling with other types of nodes.