Help Center > > User Guide> MRS Manager Operation Guide (Applicable to 2.x and Earlier Versions)> Object Management> Configuring Customized Service Parameters

Configuring Customized Service Parameters

Updated at: Aug 17, 2021 GMT+08:00

Each component of MRS supports all open-source parameters. You can modify some parameters for key application scenarios on MRS Manager. Some component clients may not include all parameters with open-source features. For component parameters that cannot be directly modified on Manager, users can add new parameters for components by using the configuration customization function on Manager. Newly added parameters are saved in component configuration files and take effect after restart.

Impact on the System

  • After the service attributes are configured, the service needs to be restarted and cannot be accessed.
  • You need to download and update the client configuration files after configuring HBase, HDFS, Hive, Spark, Yarn, and MapReduce service properties.


You have understood the meanings of parameters to be added, configuration files that have taken effect, and the impact on components.


  1. On MRS Manager, click Services.
  2. Select the target service from the service list.
  3. Click Service Configuration.
  4. Set Type to All.

    Figure 1 Service Configuration

  5. In the navigation tree, select Customization. The customized parameters of the current component are displayed on Manager.

    The configuration files that save the newly added customized parameters are displayed in the Parameter File column. Different configuration files may have same open source parameters. After the parameters in different files are set to different values, whether the configuration takes effect depends on the loading sequence of the configuration files by components. You can customize parameters for services and roles as required. Adding customized parameters for a single role instance is not supported.

    Figure 2 Customization configurations

  6. Based on the configuration files and parameter functions, locate the row where a specified parameter resides, enter the parameter name supported by the component in the Name column and enter the parameter value in the Value column.

    • You can click or to add or delete a user-defined parameter. You can delete a customized parameter only after you click for the first time.
    • If you want to cancel the modification of a parameter value, click to restore it.

  7. Click Save Configuration and select Restart the affected services or instances. Click OK to restart the services.

    After Operation successful. is displayed, click Finish. The service is started successfully.

Task Example

Configuring Customized Hive Parameters

Hive depends on HDFS. By default, Hive accesses the HDFS client. The configuration parameters to take effect are controlled by HDFS in a unified manner. For example, the HDFS parameter ipc.client.rpc.timeout affects the RPC timeout period for all clients to connect to the HDFS server. If you need to modify the timeout period for Hive to connect to HDFS, you can use the configuration customization function. After this parameter is added to the core-site.xml file of Hive, this parameter can be identified by the Hive service and its configuration overwrites the parameter configuration in HDFS.

  1. On MRS Manager, choose Services > Hive > Service Configuration.
  2. Set Type to All.

    Figure 3 Hive Service Configuration

  3. In the navigation tree on the left, select Customization for the Hive service. The system displays the customized service parameters supported by Hive.
  4. In core-site.xml, locate the row that contains the parameter, enter ipc.client.rpc.timeout in the Name column, and enter a new value in the Value column, for example, 150000. The unit is millisecond.

    Figure 4 Hive customization configurations

  5. Click Save Configuration and select Restart the affected services or instances. Click OK to restart the service.

    After Operation successful. is displayed, click Finish. The service is started successfully.

    Figure 5 Saving Hive configurations

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