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    :Create a CDH Hive node

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    :Create a CDH Hive node

    Last Updated:Nov 15, 2024

    If you have deployed a Cloudera's Distribution Including Apache Hadoop (CDH) cluster, you can use CDH Hive nodes in DataWorks to run Hive tasks to query data or process data in batches. This topic describes how to create a CDH Hive node.

    Prerequisites

    • A workflow is created in DataStudio.

      Development operations in different types of compute engines are performed based on workflows in DataStudio. Therefore, before you create a node, you must create a workflow. For more information, see Create a workflow.

    • An Alibaba Cloud CDH cluster is created and registered to DataWorks.

      Before you create a CDH node and use the CDH node to develop a CDH task in DataWorks, you must register a CDH cluster to a DataWorks workspace. For more information, see Register a CDH or CDP cluster to DataWorks.

    • (Required if you use a RAM user to develop tasks) The RAM user is added to the DataWorks workspace as a member and is assigned the Development or Workspace Administrator role. The Workspace Administrator role has more permissions than necessary. Exercise caution when you assign the Workspace Administrator role. For more information about how to add a member, see Add workspace members and assign roles to them.

    • A serverless resource group is purchased and configured. The configurations include association with a workspace and network configuration. For more information, see Create and use a serverless resource group.

    Limits

    Tasks on this type of node can be run on serverless resource groups or old-version exclusive resource groups for scheduling. We recommend that you run tasks on serverless resource groups.

    Step 1: Create a CDH Hive node

    1. Go to the DataStudio page.

      Log on to the DataWorks console. In the top navigation bar, select the desired region. In the left-side navigation pane, choose Data Development and Governance > Data Development. On the page that appears, select the desired workspace from the drop-down list and click Go to Data Development.

    2. On the DataStudio page, find the desired workflow, right-click the workflow name, and then choose Create Node > CDH > CDH Hive.

      Note

      Alternatively, you can move the pointer over the Create icon at the top of the Scheduled Workflow pane and create a CDH node as prompted.

    3. In the Create Node dialog box, configure the Name parameter and click Confirm. Then, you can use the created node to develop and configure tasks.

    Step 2: Develop a Hive task

    You can double-click the name of the created node to go to the configuration tab of the node and then perform the following operations to develop a task.

    (Optional) Select a CDH compute engine instance

    If multiple CDH clusters are registered to the current workspace, you must select one from the Engine Instance CDH drop-down list based on your business requirements. If only one CDH cluster is registered to the current workspace, you do not need to select a CDH cluster.image.png

    Simple SQL code development example

    In the SQL editor, enter code for the node. Example: 

    show tables;

select * from userinfo ;

    Develop SQL code: Use scheduling parameters

    DataWorks provides scheduling parameters whose values are dynamically replaced in the code of a task based on the configurations of the scheduling parameters in periodic scheduling scenarios. You can define variables in the task code in the ${Variable} format and assign values to the variables in the Scheduling Parameter section of the Properties tab. For information about the supported formats of scheduling parameters, see Supported formats of scheduling parameters. 

    select '${var}'; -- You can assign a specific scheduling parameter to the var variable.

    Step 3: Configure task scheduling properties

    If you want the system to periodically run a task on the node, you can click Properties in the right-side navigation pane on the configuration tab of the node to configure task scheduling properties based on your business requirements.

    Step 4: Debug task code

    1. Optional. Select a resource group and assign custom parameters to variables.

    2. Save and execute the SQL statements.

      In the top toolbar, click the 保存 icon to save the SQL statements. Then, click the 运行 icon to execute the SQL statements.

    3. Optional. Perform smoke testing.

      You can perform smoke testing on the task in the development environment when you commit the task or after you commit the task. For more information, see Perform smoke testing.

    What to do next

    1. Commit and deploy the task.

      1. Click the 保存 icon in the top toolbar to save the task.

      2. Click the 提交 icon in the top toolbar to commit the task.

      3. In the Submit dialog box, configure the Change description parameter.

      4. Click Confirm.

      If you use a workspace in standard mode, you must deploy the task in the production environment after you commit the task. To deploy a task on a node, click Deploy in the top navigation bar of the DataStudio page. For more information, see Deploy tasks.

    2. View the task.

      1. Click Operation Center in the upper-right corner of the configuration tab of the corresponding node to go to Operation Center in the production environment.

      2. View the scheduled task. For more information, see View and manage auto triggered tasks.

      To view more information about the task, click Operation Center in the top navigation bar of the DataStudio page. For more information, see Overview.