Create an EMR Spark node

This topic describes how to create an EMR Spark node. EMR Spark nodes allow you to perform complex memory analysis, helping you build large, low-latency data analysis applications.

1. Go to the DataStudio page.
   1. Log on to the DataWorks console.
   2. In the left-side navigation pane, click Workspaces.
   3. In the top navigation bar, select the region where your workspace resides, find the workspace, and then click Data Analytics in the Actions column.
2. On the Data Development tab, move the pointer over the icon and choose EMR > EMR Spark.
   Alternatively, you can click a workflow in the Business process section, right-click EMR, and then choose New > EMR Spark.
3. In the Create Node dialog box, set the Node Name and Location parameters.
   Note The node name must be 1 to 128 characters in length and can contain letters, digits, underscores (_), and periods (.).
4. Click Commit.
5. On the node configuration tab, enter the code.
   Note If the current workspace is bound to multiple E-MapReduce compute engine instances, you must select an E-MapReduce compute engine instance. If the current workspace is bound to only one E-MapReduce compute engine instance, you do not need to do so.
6. Save and commit the node.
   Notice You must set the Rerun and Parent Nodes parameters before you can commit the node.
   1. Click the icon in the toolbar to save the node.
   2. Click the icon in the toolbar.
   3. In the Commit Node dialog box, enter your comments in the Change description field.
   4. Click OK.
   In a workspace in standard mode, you must click Deploy in the upper-right corner after you commit the node. For more information, see Deploy nodes.
7. Test the node. For more information, see View auto triggered nodes.